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Jim Tørresen

Jim Torresen

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affiliation: University of Oslo, Department of Informatics, Norway

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2020 – today

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2024
[j50]
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Benedikte Wallace, Kristian Nymoen, Jim Torresen, Charles Patrick Martin:
Breaking from realism: exploring the potential of glitch in AI-generated dance. Digit. Creativity 35(2): 125-142 (2024)
[j49]
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Marieke van Otterdijk, Bruno Laeng, Diana Saplacan Lindblom, Jim Torresen:
The Effect of Expressive Robot Behavior on Users' Mental Effort: A Pupillometry Study. IEEE Trans. Cogn. Dev. Syst. 16(2): 474-484 (2024)
[j48]
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Abbas Tariverdi, Ulysse Côté Allard, Kim Mathiassen, Ole Jakob Elle, Håvard Kalvøy, Ørjan Grøttem Martinsen, Jim Torresen:
Reinforcement Learning-Based Switching Controller for a Milliscale Robot in a Constrained Environment. IEEE Trans Autom. Sci. Eng. 21(2): 2000-2016 (2024)
[c196]
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T. V. Sandanger, A. Sivachandran, R. S. Eriksen, Adel Baselizadeh, Maria T. H. van Otterdijk, Dongho Kwak, Jim Torresen:
Users' perception and dynamic motion velocity matching in human-robot approach scenarios. ARSO 2024: 67-73
[c195]
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Diana Saplacan Lindblom, Marieke van Otterdijk, Jim Torresen:
A Qualitative Observational Video-Based Study on Perceived Privacy in Social Robots' Based on Robots Appearances. ARSO 2024: 74-79
[c194]
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Benedikte Wallace, Marieke van Otterdijk, Yuchong Zhang, Nona Rajabi, Diego Marin-Bucio, Danica Kragic, Jim Torresen:
Imitation or Innovation? Translating Features of Expressive Motion from Humans to Robots. HAI 2024: 296-304
[c193]
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Adel Baselizadeh, Md. Zia Uddin, Weria Khaksar, Diana Saplacan Lindblom, Jim Torresen:
PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots. HRI (Companion) 2024: 233-237
[c192]
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Dongho Kwak, Adel Baselizadeh, Marieke van Otterdijk, Diana Saplacan, Jim Torresen:
"Noisy" Matching of Motion Velocity of an Assistive Robot to the Users' Walking Velocity. HRI (Companion) 2024: 641-645
[c191]
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Marieke van Otterdijk, Diana Saplacan Lindblom, Bruno Laeng, Jim Torresen:
An Exploratory Study on People's Intuitive Understanding of Expressive Robot Behavior. HRI (Companion) 2024: 1072-1076
[c190]
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  - conf/ro-man/HelgesenNTK24
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Sander Elias Magnussen Helgesen, Kazuto Nakashima, Jim Tørresen, Ryo Kurazume:
Fast LiDAR Upsampling using Conditional Diffusion Models. RO-MAN 2024: 272-277
[c189]
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Marieke van Otterdijk, Dongho Kwak, Adel Baselizadeh, Diana Saplacan Lindblom, Jim Torresen:
Age-Old Gesture: Analyzing the Intuitive Responses to Robot Handshakes Among Seniors and Young Adults. RO-MAN 2024: 1156-1161
[c188]
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Adel Baselizadeh, Diana Saplacan Lindblom, Weria Khaksar, Md. Zia Uddin, Jim Torresen:
Comparative Analysis of Vision-Based Sensors for Human Monitoring in Care Robots: Exploring the Utility-Privacy Trade-off. RO-MAN 2024: 1794-1801
[c187]
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  - conf/scai/ThorsenEHEHAT24
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Ola Thorsen, Emmanuel Esema, Said Hemaz, Kai Olav Ellefsen, Henrik Herrebrøden, Hugh A. von Arnim, Jim Torresen:
Can machine learning help reveal the competitive advantage of elite beach volleyball players? SCAI 2024: 57-66
[e5]
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  - conf/iip/2024-1
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Zhongzhi Shi, Jim Tørresen, Shengxiang Yang:
Intelligent Information Processing XII - 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3-6, 2024, Proceedings, Part I. IFIP Advances in Information and Communication Technology 703, Springer 2024, ISBN 978-3-031-57807-6 [contents]
[e4]
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Zhongzhi Shi, Jim Tørresen, Shengxiang Yang:
Intelligent Information Processing XII - 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3-6, 2024, Proceedings, Part II. IFIP Advances in Information and Communication Technology 704, Springer 2024, ISBN 978-3-031-57918-9 [contents]
[i34]
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  - journals/corr/abs-2403-10404
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Tom F. Hansen, Georg H. Erharter, Zhongqiang Liu, Jim Torresen:
A comparative study on machine learning approaches for rock mass classification using drilling data. CoRR abs/2403.10404 (2024)
[i33]
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  - journals/corr/abs-2405-04889
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Sander Elias Magnussen Helgesen, Kazuto Nakashima, Jim Tørresen, Ryo Kurazume:
Fast LiDAR Upsampling using Conditional Diffusion Models. CoRR abs/2405.04889 (2024)
2023
[j47]
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Ulysse Côté Allard, Minh H. Pham, Alexandra K. Schultz, Tine Nordgreen, Jim Torresen:
Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach. IEEE J. Biomed. Health Informatics 27(6): 2771-2781 (2023)
[c186]
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  - conf/candc/WallaceHNTMF23
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Benedikte Wallace, Clarice Hilton, Kristian Nymoen, Jim Torresen, Charles Patrick Martin, Rebecca Fiebrink:
Embodying an Interactive AI for Dance Through Movement Ideation. Creativity & Cognition 2023: 454-464
[c185]
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  - conf/case/BaselizadehKUST23
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Adel Baselizadeh, Weria Khaksar, Md. Zia Uddin, Diana Saplacan, Jim Torresen:
Privacy-Preserving User Pose Prediction for Safe and Efficient Human-Robot Interaction. CASE 2023: 1-8
[c184]
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  - conf/cbms/PishvaTTH23
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Alexander K. Pishva, Vajira Thambawita, Jim Torresen, Steven Alexander Hicks:
RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models. CBMS 2023: 47-52
[c183]
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  - conf/embc/Gagnon-Turcotte23
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Gabriel Gagnon-Turcotte, Ulysse Côté Allard, Quentin Mascret, Jim Tørresen, Benoit Gosselin:
Photoplethysmography-based derivation of physiological information using the BioPoint. EMBC 2023: 1-5
[c182]
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  - conf/icc/TeigenDESGT23
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Carlo Augusto Grazia, Jim Torresen:
A Lower Bound on Latency Spikes for Capacity-Seeking Network Traffic. ICC Workshops 2023: 1124-1129
[c181]
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  - conf/nime/KarbasiJGT23
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Seyed Mojtaba Karbasi, Alexander Refsum Jensenius, Rolf Inge Godøy, Jim Torresen:
Exploring Emerging Drumming Patterns in a Chaotic Dynamical System using ZRob. NIME 2023
[c180]
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  - conf/ro-man/SaplacanSTP23
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Diana Saplacan, Trenton Schulz, Jim Torresen, Zada Pajalic:
Health Professionals' Views on the Use of Social Robots with Vulnerable Users: A Scenario-Based Qualitative Study Using Story Dialogue Method. RO-MAN 2023: 421-428
[c179]
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Marieke van Otterdijk, Diana Saplacan, Adel Baselizadeh, Bruno Laeng, Jim Torresen:
To Shake or Not to Shake: Intuitive Reactions of Senior Adults to a Robot Handshake in a Western Culture. RO-MAN 2023: 890-896
[c178]
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  - conf/vnc/NooriHMUT23
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Farzan Majeed Noori, Azeem Hafeez, Hafiz Malik, Md. Zia Uddin, Jim Torresen:
Source Linking Framework in Vehicular Networks for Security of Electric Vehicles using Machine Learning. VNC 2023: 207-214
[d3]
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Benedikte Wallace, Kristian Nymoen, Charles P. Martin, Jim Tørresen:
DeepDance: Motion capture data of improvised dance (2019). Zenodo, 2023
[d2]
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  - data/10/WallaceNMT23a
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Benedikte Wallace, Kristian Nymoen, Charles P. Martin, Jim Tørresen:
DeepDance: Motion capture data of improvised dance (2019). Zenodo, 2023
[i32]
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  - journals/corr/abs-2302-04478
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Weria Khaksar, Diana Saplacan, Lee Andrew Bygrave, Jim Torresen:
Robotics in Elderly Healthcare: A Review of 20 Recent Research Projects. CoRR abs/2302.04478 (2023)
[i31]
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  - journals/corr/abs-2308-10097
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Abbas Tariverdi, Jim Torresen:
Rafting Towards Consensus: Formation Control of Distributed Dynamical Systems. CoRR abs/2308.10097 (2023)
[i30]
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  - journals/corr/abs-2311-14328
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Shin Watanabe, Geir Horn, Jim Tørresen, Kai Olav Ellefsen:
Offline Skill Generalization via Task and Motion Planning. CoRR abs/2311.14328 (2023)
2022
[j46]
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  - journals/firai/SajadiKBTEM22
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Seyed MohammadReza Sajadi, Seyed Mojtaba Karbasi, Henrik Brun, Jim Tørresen, Ole Jacob Elle, Kim Mathiassen:
Towards Autonomous Robotic Biopsy - Design, Modeling and Control of a Robot for Needle Insertion of a Commercial Full Core Biopsy Instrument. Frontiers Robotics AI 9 (2022)
[j45]
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  - journals/firai/SumiokaTSCN22
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Hidenobu Sumioka, Jim Torresen, Masahiro Shiomi, Liang-Kung Chen, Atsushi Nakazawa:
Editorial: Interaction in robot-assistive elderly care. Frontiers Robotics AI 9 (2022)
[j44]
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  - journals/jirs/MantelliNPMTK22
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Mathias Mantelli, Farzan Majeed Noori, Diego Pittol, Renan Maffei, Jim Torresen, Mariana Kolberg:
Semantic Temporal Object Search System Based on Heat Maps. J. Intell. Robotic Syst. 106(4): 69 (2022)
[j43]
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  - journals/pervasive/AllardJSNFOT22
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Ulysse Côté Allard, Petter Jakobsen, Andrea Stautland, Tine Nordgreen, Ole Bernt Fasmer, Ketil Joachim Oedegaard, Jim Tørresen:
Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-Worn Sensors. IEEE Pervasive Comput. 21(2): 20-31 (2022)
[j42]
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  - journals/tamd/EllefsenDT22
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Kai Olav Ellefsen, Kerstin Dautenhahn, Jim Torresen:
Guest Editorial Special Issue on Development and Learning and on Epigenetic Robotics. IEEE Trans. Cogn. Dev. Syst. 14(4): 1302-1305 (2022)
[c177]
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Diana Saplacan, Jim Torresen:
Healthcare Professionals' Attitudes towards the Organization of Care Services and the Adoption of Welfare Robots in Norway. ARSO 2022: 1-8
[c176]
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  - conf/cnsm/TeigenDTEST22
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Bjørn Ivar Teigen, Neil Davies, Peter Thompson, Kai Olav Ellefsen, Tor Skeie, Jim Torresen:
ΔQ Generative Models: Modeling Time-Variation in Network Quality. CNSM 2022: 233-239
[c175]
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  - conf/codit/TariverdiMSKETM22
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Abbas Tariverdi, Kim Mathiassen, Vegard Søyseth, Håvard Kalvøy, Ole Jakob Elle, Jim Tørresen, Ørjan Grøttem Martinsen, Mats Erling Høvin:
Physics-Based Simulation and Control Framework for Steering a Magnetically-Actuated Guidewire. CoDIT 2022: 770-774
[c174]
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  - conf/elinfocom/BordvikHNUT22
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David Andreas Bordvik, Jie Hou, Farzan Majeed Noori, Md. Zia Uddin, Jim Torresen:
Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning. ICEIC 2022: 1-6
[c173]
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  - conf/hci/SaplacanT22
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Diana Saplacan, Jim Tørresen:
Robots as Welfare Technologies to Reduce Falls Amongst Older Adults: An Explorative Study from Norway. HCI (30) 2022: 88-106
[c172]
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  - conf/icdl/StrandRWSTE22
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Ørjan Strand, Didrik Spanne Reilstad, Zhenying Wu, Bruno Castro da Silva, Jim Torresen, Kai Olav Ellefsen:
RADAR: Reactive and Deliberative Adaptive Reasoning - Learning When to Think Fast and When to Think Slow. ICDL 2022: 184-189
[c171]
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  - conf/lcn/TeigenDEST22
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Torresen:
Quantifying the Quality Attenuation of WiFi. LCN 2022: 189-197
[c170]
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  - conf/lifelike/BarnesEEG0T22
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Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Overcoming Dynamicity with Plasticity: Neuromodulation for Lifelike Systems. LIFELIKE 2022
[c169]
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  - conf/moco/RuudSTWKT22
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Markus Toverud Ruud, Tale Hisdal Sandberg, Ulrik Johan Vedde Tranvaag, Benedikte Wallace, Seyed Mojtaba Karbasi, Jim Torresen:
Reinforcement Learning Based Dance Movement Generation. MOCO 2022: 28:1-28:5
[c168]
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Adel Baselizadeh, Weria Khaksar, Jim Torresen:
Motion Planning and Obstacle Avoidance for Robot Manipulators Using Model Predictive Control-based Reinforcement Learning. SMC 2022: 1584-1591
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Jim Torresen, Atsushi Nakazawa:
Ethical Considerations in User Modeling and Personalization (ECUMAP): ACM UMAP 2022 Tutorial. UMAP 2022: 351-353
[c166]
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  - conf/wons/TeigenDEST22
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Torresen:
Protocol Violations in the WiFi Distributed Coordination Function of Raspberry Pi 4. WONS 2022: 1-4
[d1]
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Benedikte Wallace, Kristian Nymoen, Charles P. Martin, Jim Tørresen:
DeepDance: Motion capture data of improvised dance (2019). Zenodo, 2022
[i29]
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  - journals/corr/abs-2201-04967
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Ulysse Côté Allard, Minh H. Pham, Alexandra K. Schultz, Tine Nordgreen, Jim Tørresen:
Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach. CoRR abs/2201.04967 (2022)
[i28]
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  - journals/corr/abs-2207-11067
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Knut J. Strømmen, Jim Tørresen, Ulysse Côté Allard:
Latent Space Unsupervised Semantic Segmentation. CoRR abs/2207.11067 (2022)
2021
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Farzan Majeed Noori, Md. Zia Uddin, Jim Tørresen:
Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning. IEEE Access 9: 138132-138143 (2021)
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Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Tørresen, Kyrre Glette:
Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution. Evol. Comput. 29(4): 441-461 (2021)
[j39]
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Abbas Tariverdi, Venkatasubramanian Kalpathy Venkiteswaran, Michiel Richter, Ole Jakob Elle, Jim Tørresen, Kim Mathiassen, Sarthak Misra, Ørjan Grøttem Martinsen:
A Recurrent Neural-Network-Based Real-Time Dynamic Model for Soft Continuum Manipulators. Frontiers Robotics AI 8: 631303 (2021)
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Mathias Mantelli, Diego Pittol, Renan Maffei, Jim Tørresen, Edson Prestes, Mariana Luderitz Kolberg:
Semantic Active Visual Search System Based on Text Information for Large and Unknown Environments. J. Intell. Robotic Syst. 101(2): 32 (2021)
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Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette, David Howard:
Real-world embodied AI through a morphologically adaptive quadruped robot. Nat. Mach. Intell. 3(5): 410-419 (2021)
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Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Evolving Neuromodulated Controllers in Variable Environments. ACSOS 2021: 164-169
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Maria T. H. van Otterdijk, Margot M. E. Neggers, Jim Tørresen, Emilia I. Barakova:
Preferences of Seniors for Robots Delivering a Message With Congruent Approaching Behavior. ARSO 2021: 66-72
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Diana Saplacan, Weria Khaksar, Jim Tørresen:
On Ethical Challenges Raised by Care Robots: A Review of the Existing Regulatory-, Theoretical-, and Research Gaps. ARSO 2021: 219-226
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Benedikte Wallace, Charles P. Martin, Jim Tørresen, Kristian Nymoen:
Learning Embodied Sound-Motion Mappings: Evaluating AI-Generated Dance Improvisation. Creativity & Cognition 2021: 32:1-32:9
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Sadegh Hosseinpoor, Jim Tørresen, Mathias Mantelli, Diego Pittol, Mariana Luderitz Kolberg, Renan Maffei, Edson Prestes:
Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots. CASE 2021: 1407-1413
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Bjørn Ivar Teigen, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
Known Performance Issues Are Prevalent in Consumer WiFi Routers. CNSM 2021: 254-258
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Benedikte Wallace, Charles P. Martin, Jim Tørresen, Kristian Nymoen:
Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks. EvoMUSART 2021: 344-359
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Adel Baselizadeh, Diana Saplacan, Jim Tørresen:
Adaptive Real-time Learning-based Neuro-Fuzzy Control of Robot Manipulators. ICCMA 2021: 20-26
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Seyed Mojtaba Karbasi, Rolf Inge Godøy, Alexander Refsum Jensenius, Jim Tørresen:
A Learning Method for Stiffness Control of a Drum Robot for Rebounding Double Strokes. ICMRE 2021: 54-58
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Weria Khaksar, Margot M. E. Neggers, Emilia I. Barakova, Jim Tørresen:
Generation Differences in Perception of the Elderly Care Robot. RO-MAN 2021: 551-558
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Jim Tørresen:
Ethical Considerations in User Modeling and Personalization. UMAP 2021: 321-322
[i27]
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  - journals/corr/abs-2101-12512
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
A Model of WiFi Performance With Bounded Latency. CoRR abs/2101.12512 (2021)
[i26]
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  - journals/corr/abs-2107-00710
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Ulysse Côté Allard, Petter Jakobsen, Andrea Stautland, Tine Nordgreen, Ole Bernt Fasmer, Ketil Joachim Oedegaard, Jim Tørresen:
Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-worn Sensors. CoRR abs/2107.00710 (2021)
[i25]
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  - journals/corr/abs-2111-00488
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
Beyond Bufferbloat: End-to-End Congestion Control Cannot Avoid Latency Spikes. CoRR abs/2111.00488 (2021)
[i24]
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  - journals/corr/abs-2111-13969
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Abbas Tariverdi, Ulysse Côté Allard, Kim Mathiassen, Ole Jakob Elle, Håvard Kalvøy, Ørjan Grøttem Martinsen, Jim Tørresen:
Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment. CoRR abs/2111.13969 (2021)
2020
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Kai Olav Ellefsen, Joost Huizinga, Jim Tørresen:
Guiding Neuroevolution with Structural Objectives. Evol. Comput. 28(1): 115-140 (2020)
[j35]
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Charles Patrick Martin, Kyrre Glette, Tønnes F. Nygaard, Jim Tørresen:
Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning. Frontiers Artif. Intell. 3: 6 (2020)
[j34]
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Jim Tørresen, Ryo Kurazume, Edson Prestes:
Special Issue on Elderly Care Robotics - Technology and Ethics. J. Intell. Robotic Syst. 98(1): 3-4 (2020)
[j33]
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Diana Saplacan, Jo Herstad, Jim Tørresen, Zada Pajalic:
A Framework on Division of Work Tasks between Humans and Robots in the Home. Multimodal Technol. Interact. 4(3): 44 (2020)
[j32]
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Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility. ACM Trans. Auton. Adapt. Syst. 15(4): 11:1-11:26 (2020)
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Farzan Majeed Noori, Michael Riegler, Md. Zia Uddin, Jim Tørresen:
Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 45:1-45:19 (2020)
[j30]
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Enrique Garcia-Ceja, Michael Riegler, Anders K. Kvernberg, Jim Tørresen:
User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation. User Model. User Adapt. Interact. 30(3): 365-393 (2020)
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Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks. ACSOS 2020: 129-138
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Jim Tørresen:
Addressing ethical challenges within evolutionary computation applications: GECCO 2020 tutorial. GECCO Companion 2020: 1206-1223
[c152]
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Benedikte Wallace, Charles P. Martin, Jim Tørresen, Kristian Nymoen:
Towards Movement Generation with Audio Features. ICCC 2020: 284-287
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Sivert Frang Lunsaeter, Yumi Iwashita, Adrian Stoica, Jim Tørresen:
Terrain Classification from an Aerial Perspective. SMC 2020: 173-177
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Jim Tørresen:
Ethical Considerations in User Modeling and Personalization: ACM UMAP 2020 Tutorial. UMAP 2020: 390-391
[i23]
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Trenton Schulz, Patrick Holthaus, Farshid Amirabdollahian, Kheng Lee Koay, Jim Tørresen, Jo Herstad:
Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task. CoRR abs/2003.11443 (2020)
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Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Tørresen, Kyrre Glette:
Environmental Adaptation of Robot Morphology and Control through Real-world Evolution. CoRR abs/2003.13254 (2020)
[i21]
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Benedikte Wallace, Charles P. Martin, Jim Tørresen, Kristian Nymoen:
Towards Movement Generation with Audio Features. CoRR abs/2011.13453 (2020)
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Charles Patrick Martin, Alexander Refsum Jensenius, Jim Tørresen:
Composing an Ensemble Standstill Work for Myo and Bela. CoRR abs/2012.02404 (2020)

2010 – 2019

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2019
[j29]
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Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli:
Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults. IEEE Access 7: 111012-111029 (2019)
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Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Multiquery Motion Planning in Uncertain Spaces: Incremental Adaptive Randomized Roadmaps. Int. J. Appl. Math. Comput. Sci. 29(4): 641-654 (2019)
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Charles Patrick Martin, Jim Tørresen:
Data-Driven Analysis of Tiny Touchscreen Performance with MicroJam. Comput. Music. J. 43(4): 41-57 (2019)
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Weria Khaksar, Tang Sai Hong, Khairul Salleh Mohamed Sahari, Mansoor Khaksar, Jim Tørresen:
Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system. Neural Comput. Appl. 31(S-2): 1275-1289 (2019)
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Trenton Schulz, Jim Torresen, Jo Herstad:
Animation Techniques in Human-Robot Interaction User Studies: A Systematic Literature Review. ACM Trans. Hum. Robot Interact. 8(2): 12:1-12:22 (2019)
[c149]
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Farzan Majeed Noori, Smiti Kahlon, Philip Lindner, Tine Nordgreen, Jim Tørresen, Michael Riegler:
Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety. CBMI 2019: 1-5
[c148]
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Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. EvoApplications 2019: 616-632
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Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli:
Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes. ICANN (4) 2019: 462-473
[c146]
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Anders Skibeli Rokkones, Md. Zia Uddin, Jim Tørresen:
Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network. ICCE-Berlin 2019: 283-288
[c145]
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Farzan Majeed Noori, Md. Zia Uddin, Jim Tørresen:
Robot-Care for the Older People: Ethically Justified or Not? ICDL-EPIROB 2019: 43-47
[c144]
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Bjørn Ivar Teigen, Kai Olav Ellefsen, Jim Tørresen:
A Categorization of Reinforcement Learning Exploration Techniques which Facilitates Combination of Different Methods. ICDL-EPIROB 2019: 189-194
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Aline Weber, Charles P. Martin, Jim Tørresen, Bruno C. da Silva:
Identifying Reusable Early-Life Options. ICDL-EPIROB 2019: 335-340
[c142]
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Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN. ICRA 2019: 8883-8889
[c141]
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Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. ICRA 2019: 9446-9452
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Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli:
Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events. IJCNN 2019: 1-8
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Rafael Garcia, Alexandre Xavier Falcão, Alexandru C. Telea, Bruno Castro da Silva, Jim Tørresen, João Luiz Dihl Comba:
A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. IJCNN 2019: 1-10
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Farzan Majeed Noori, Enrique Garcia-Ceja, Md. Zia Uddin, Michael Riegler, Jim Tørresen:
Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs. IJCNN 2019: 1-6
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Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
A Thermal Camera-based Activity Recognition Using Discriminant Skeleton Features and RNN. INDIN 2019: 777-782
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Md. Zia Uddin, Jim Tørresen:
Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network. ISMICT 2019: 1-6
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Joakim Ihle Frogner, Farzan Majeed Noori, Pål Halvorsen, Steven Alexander Hicks, Enrique Garcia-Ceja, Jim Tørresen, Michael Alexander Riegler:
One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. HealthMedia@MM 2019: 9-15
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Artur Becker, Henrik Herrebrøden, Victor E. González Sánchez, Kristian Nymoen, Carla Maria Dal Sasso Freitas, Jim Tørresen, Alexander Refsum Jensenius:
Functional Data Analysis of Rowing Technique Using Motion Capture Data. MOCO 2019: 12:1-12:8
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Kai Olav Ellefsen, Jim Torresen:
Self-adapting Goals Allow Transfer of Predictive Models to New Tasks. NAIS 2019: 28-39
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Tønnes F. Nygaard, Jørgen Nordmoen, Kai Olav Ellefsen, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing. NAIS 2019: 58-68
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Aline Weber, Lucas Nunes Alegre, Jim Tørresen, Bruno C. da Silva:
Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise. NIME 2019: 174-179
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Charles P. Martin, Jim Tørresen:
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks. NIME 2019: 260-265
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Andrei Faitas, Synne Engdahl Baumann, Torgrim Rudland Næss, Jim Tørresen, Charles P. Martin:
Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks. NIME 2019: 325-330
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Trenton Schulz, Patrick Holthaus, Farshid Amirabdollahian, Kheng Lee Koay, Jim Tørresen, Jo Herstad:
Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task. RO-MAN 2019: 1-8
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Farzan Majeed Noori, Benedikte Wallace, Md. Zia Uddin, Jim Tørresen:
A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network. SCIA 2019: 299-310
[i19]
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Kai Olav Ellefsen, Charles Patrick Martin, Jim Tørresen:
How do Mixture Density RNNs Predict the Future? CoRR abs/1901.07859 (2019)
[i18]
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Charles P. Martin, Jim Tørresen:
Data Driven Analysis of Tiny Touchscreen Performance with MicroJam. CoRR abs/1902.00680 (2019)
[i17]
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Kai Olav Ellefsen, Joost Huizinga, Jim Tørresen:
Guiding Neuroevolution with Structural Objectives. CoRR abs/1902.04346 (2019)
[i16]
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Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. CoRR abs/1902.04403 (2019)
[i15]
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Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image using CNN. CoRR abs/1902.05718 (2019)
[i14]
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Kai Olav Ellefsen, Jim Tørresen:
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks. CoRR abs/1904.02435 (2019)
[i13]
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Charles P. Martin, Jim Tørresen:
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks. CoRR abs/1904.05009 (2019)
2018
[j24]
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Rafael Garcia, Alexandru C. Telea, Bruno Castro da Silva, Jim Tørresen, João Luiz Dihl Comba:
A task-and-technique centered survey on visual analytics for deep learning model engineering. Comput. Graph. 77: 30-49 (2018)
[j23]
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Oscar Garnica, Kyrre Glette, Jim Tørresen:
Comparing three online evolvable hardware implementations of a classification system. Genet. Program. Evolvable Mach. 19(1-2): 211-234 (2018)
[j22]
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Enrique Garcia-Ceja, Michael Riegler, Tine Nordgreen, Petter Jakobsen, Ketil J. Oedegaard, Jim Tørresen:
Mental health monitoring with multimodal sensing and machine learning: A survey. Pervasive Mob. Comput. 51: 1-26 (2018)
[j21]
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Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
Ambient Sensors for Elderly Care and Independent Living: A Survey. Sensors 18(7): 2027 (2018)
[c126]
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Justinas Miseikis, Patrick Knöbelreiter, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks. AIM 2018: 181-187
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Enrique Garcia-Ceja, Md. Zia Uddin, Jim Tørresen:
Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition. ANT/SEIT 2018: 157-163
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Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer:
Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients. CBMS 2018: 316-321
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Md. Zia Uddin, Jim Tørresen:
A Deep Learning-Based Human Activity Recognition in Darkness. CVCS 2018: 1-5
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Charles Patrick Martin, Jim Tørresen:
RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction. EvoMUSART 2018: 161-176
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Tønnes F. Nygaard, Charles P. Martin, Eivind Samuelsen, Jim Tørresen, Kyrre Glette:
Real-world evolution adapts robot morphology and control to hardware limitations. GECCO 2018: 125-132
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Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition. CCE 2018: 1-6
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Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
Activity Recognition Using Deep Recurrent Neural Network on Translation and Scale-Invariant Features. ICIP 2018: 475-479
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Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Learning from Virtual Experience: Mapless Navigation with Neuro-Fuzzy Intelligence. IEEE Conf. on Intelligent Systems 2018: 117-124
[c117]
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Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli:
Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults. IEEE Conf. on Intelligent Systems 2018: 662-668
[c116]
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Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network. ISR 2018: 337-342
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Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer:
Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients. MMSys 2018: 472-477
[c114]
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Charles P. Martin, Alexander Refsum Jensenius, Jim Tørresen:
Composing an Ensemble Standstill Work for Myo and Bela. NIME 2018: 196-197
[c113]
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Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Neuro-Fuzzy Sampling: Safe and Fast Multi-query Randomized Path Planning for Mobile Robots. RiTA 2018: 13-27
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Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Self-Adjusting Roadmaps: A Fast Sampling-Based Path Planning Algorithm for Navigation in Unknown Environments. ROBIO 2018: 1094-1101
[c111]
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Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images. UR 2018: 597-603
[c110]
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Yumi Iwashita, Adrian Stoica, Kazuto Nakashima, Ryo Kurazume, Jim Tørresen:
Virtual Sensors Determined Through Machine Learning. WAC 2018: 1-5
[i12]
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Justinas Miseikis, Patrick Knöbelreiter, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks. CoRR abs/1801.02025 (2018)
[i11]
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Charles P. Martin, Kai Olav Ellefsen, Jim Tørresen:
Deep Predictive Models in Interactive Music. CoRR abs/1801.10492 (2018)
[i10]
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Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. CoRR abs/1803.05629 (2018)
[i9]
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Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images. CoRR abs/1804.03005 (2018)
[i8]
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Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. CoRR abs/1805.02965 (2018)
[i7]
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Tønnes F. Nygaard, Charles P. Martin, Eivind Samuelsen, Jim Tørresen, Kyrre Glette:
Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations. CoRR abs/1805.03388 (2018)
[i6]
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Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network. CoRR abs/1805.11849 (2018)
[i5]
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  - journals/corr/abs-1812-06784
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Trenton Schulz, Jim Tørresen, Jo Herstad:
Animation Techniques in Human-Robot Interaction User Studies: a Systematic Literature Review. CoRR abs/1812.06784 (2018)
2017
[j20]
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Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
Facial Expression Recognition Using Salient Features and Convolutional Neural Network. IEEE Access 5: 26146-26161 (2017)
[j19]
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Md. Zia Uddin, Mohammad Mehedi Hassan, Ahmad Almogren, Mansour Zuair, Giancarlo Fortino, Jim Tørresen:
A facial expression recognition system using robust face features from depth videos and deep learning. Comput. Electr. Eng. 63: 114-125 (2017)
[j18]
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Jim Tørresen:
A Review of Future and Ethical Perspectives of Robotics and AI. Frontiers Robotics AI 4: 75 (2017)
[j17]
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Jim Tørresen, Snorre Aunet:
Special issue: Selected papers from the 1st NORCAS conference (2015 Nordic Circuits and Systems Conference (NORCAS): Norchip & International Symposium on System-on-Chip (SoC)). Microprocess. Microsystems 48: 1-2 (2017)
[j16]
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Asbjørn Danielsen, Jim Tørresen:
Recognizing Bedside Events Using Thermal and Ultrasonic Readings. Sensors 17(6): 1342 (2017)
[c109]
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Charles P. Martin, Kai Olav Ellefsen, Jim Tørresen:
Deep Models for Ensemble Touch-Screen Improvisation. Audio Mostly Conference 2017: 4:1-4:4
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Torkil Aamodt, Jim Tørresen:
Comparing Neural Networks for Predicting Stock Markets. EANN 2017: 363-375
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Kai Olav Ellefsen, Jim Tørresen:
Evolving neural networks with multiple internal models. ECAL 2017: 138-145
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Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
Human activity recognition using robust spatiotemporal features and convolutional neural network. MFI 2017: 144-149
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Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
A robust gait recognition system using spatiotemporal features and deep learning. MFI 2017: 156-161
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Charles P. Martin, Jim Tørresen:
Microjam: an app for sharing tiny touch-screen performances. NIME 2017: 495-496
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Charles P. Martin, Jim Tørresen:
RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction. CoRR abs/1711.10746 (2017)
2016
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Andreas Fsrovig Olsen, Jim Tørresen:
Smartphone accelerometer data used for detecting human emotions. ICSAI 2016: 410-415
[c102]
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Justinas Miseikis, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Automatic calibration of a robot manipulator and multi 3D camera system. SII 2016: 735-741
[c101]
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Justinas Miseikis, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Multi 3D camera mapping for predictive and reflexive robot manipulator trajectory estimation. SSCI 2016: 1-8
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Tønnes F. Nygaard, Jim Tørresen, Kyrre Glette:
Multi-objective evolution of fast and stable gaits on a physical quadruped robotic platform. SSCI 2016: 1-8
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Jim Tørresen, Andreas Hoyer Iversen, Ralf Greisiger:
Data from past patients used to streamline adjustment of levels for cochlear implant for new patients. SSCI 2016: 1-7
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Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Tørresen, Xin Yao:
Self-aware Computing: Introduction and Motivation. Self-aware Computing Systems 2016: 1-5
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Kristian Nymoen, Arjun Chandra, Jim Tørresen:
Self-awareness in Active Music Systems. Self-aware Computing Systems 2016: 279-296
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Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Tørresen, Xin Yao:
Conclusions and Outlook. Self-aware Computing Systems 2016: 297-300
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Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Tørresen, Xin Yao:
Self-aware Computing Systems - An Engineering Approach. Natural Computing Series, Springer 2016, ISBN 978-3-319-39674-3 [contents]
[i3]
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Justinas Miseikis, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Automatic Calibration of a Robot Manipulator and Multi 3D Camera System. CoRR abs/1601.01566 (2016)
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Justinas Miseikis, Kyrre Glette, Ole Jakob Elle, Jim Tørresen:
Multi 3D Camera Mapping for Predictive and Reflexive Robot Manipulator Trajectory Estimation. CoRR abs/1610.03646 (2016)
2015
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Jim Tørresen, Christian Plessl, Xin Yao:
Self-Aware and Self-Expressive Systems. Computer 48(7): 18-20 (2015)
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Peter R. Lewis, Arjun Chandra, Funmilade Faniyi, Kyrre Glette, Tao Chen, Rami Bahsoon, Jim Tørresen, Xin Yao:
Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering. Computer 48(8): 62-70 (2015)
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Peter R. Lewis, Lukas Esterle, Arjun Chandra, Bernhard Rinner, Jim Tørresen, Xin Yao:
Static, Dynamic, and Adaptive Heterogeneity in Distributed Smart Camera Networks. ACM Trans. Auton. Adapt. Syst. 10(2): 8:1-8:30 (2015)
2014
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Kazi Shah Nawaz Ripon, Jim Tørresen:
Integrated job shop scheduling and layout planning: a hybrid evolutionary method for optimizing multiple objectives. Evol. Syst. 5(2): 121-132 (2014)
[j11]
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Christian Beckhoff, Dirk Koch, Jim Tørresen:
Design Tools for Implementing Self-Aware and Fault-Tolerant Systems on FPGAs. ACM Trans. Reconfigurable Technol. Syst. 7(2): 14:1-14:23 (2014)
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Alexander Wold, Andreas Agne, Jim Tørresen:
Relocatable Hardware Threads in Run-Time Reconfigurable Systems. ARC 2014: 61-72
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Christian Beckhoff, Dirk Koch, Jim Tørresen:
Portable module relocation and bitstream compression for Xilinx FPGAs. FPL 2014: 1-8
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Kristian Nymoen, Arjun Chandra, Kyrre Glette, Jim Tørresen:
Decentralized harmonic synchronization in mobile music systems. iCAST 2014: 1-6
[c95]
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Roland Dobai, Kyrre Glette, Jim Tørresen, Lukás Sekanina:
Evolutionary digital circuit design with fast candidate solution establishment in field programmable gate arrays. ICES 2014: 85-92
[c94]
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Kristian Nymoen, Arjun Chandra, Kyrre Glette, Jim Tørresen, Arve Voldsund, Alexander Refsum Jensenius:
PheroMusic: Navigating a Musical Space for Active Music Experiences. ICMC 2014
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Jürgen Becker, Ramachandran Vaidyanathan, Marco D. Santambrogio, Jim Tørresen, Ron Sass, Philip Heng Wai Leong:
RAW Introduction and Committees. IPDPS Workshops 2014: 109-110
[c92]
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Alexander Wold, Andreas Agne, Jim Tørresen:
Module Placement Using Constraint Programming in Run-Time Reconfigurable Systems. IPDPS Workshops 2014: 287-292
[c91]
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Kristian Nymoen, Sichao Song, Yngve Hafting, Jim Tørresen:
Funky Sole Music: Gait Recognition and Adaptive Mapping. NIME 2014: 299-302
2013
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Kazi Shah Nawaz Ripon, Kyrre Glette, Kashif Nizam Khan, Mats Høvin, Jim Tørresen:
Adaptive variable neighborhood search for solving multi-objective facility layout problems with unequal area facilities. Swarm Evol. Comput. 8: 1-12 (2013)
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Kristian Nymoen, Rolf Inge Godøy, Alexander Refsum Jensenius, Jim Tørresen:
Analyzing correspondence between sound objects and body motion. ACM Trans. Appl. Percept. 10(2): 9:1-9:22 (2013)
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Paul Kaufmann, Kyrre Glette, Thiemo Gruber, Marco Platzner, Jim Tørresen, Bernhard Sick:
Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers. IEEE Trans. Evol. Comput. 17(1): 46-63 (2013)
[c90]
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Christian Beckhoff, Dirk Koch, Jim Tørresen:
Automatic Floorplanning and Interface Synthesis of Island Style Reconfigurable Systems with GoAhead. ARCS 2013: 303-316
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Arjun Chandra, Richard Allmendinger, Peter R. Lewis, Xin Yao, Jim Tørresen:
Exposing market mechanism design trade-offs via multi-objective evolutionary search. IEEE Congress on Evolutionary Computation 2013: 1515-1522
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Sichao Song, Arjun Chandra, Jim Tørresen:
An ant learning algorithm for gesture recognition with one-instance training. IEEE Congress on Evolutionary Computation 2013: 2956-2963
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Hans Jonas Fossum Moen, Nikolai B. Hansen, Harald Hovland, Jim Tørresen:
Many-Objective Optimization Using Taxi-Cab Surface Evolutionary Algorithm. EMO 2013: 128-142
[c86]
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Christian Beckhoff, Alexander Wold, Anders Fritzell, Dirk Koch, Jim Tørresen:
Building partial systems with GoAhead. FPL 2013: 1
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Jochen Vandorpe, Jo Vliegen, Ruben Smeets, Nele Mentens, Milos Drutarovský, Michal Varchola, Kerstin Lemke-Rust, Paul Plöger, Peter Samarin, Dirk Koch, Yngve Hafting, Jim Tørresen:
Remote FPGA design through eDiViDe - European Digital Virtual Design Lab. FPL 2013: 1
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Alexander Wold, Jim Tørresen, Andreas Agne:
Generation of multi-core systems from multithreaded software. FPL 2013: 1-4
[c83]
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Dirk Koch, Christian Beckhoff, Alexander Wold, Jim Tørresen:
EasyPR - An easy usable open-source PR system. FPT 2013: 414-417
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Eivind Samuelsen, Kyrre Glette, Jim Tørresen:
A hox gene inspired generative approach to evolving robot morphology. GECCO 2013: 751-758
[c81]
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Alexander Wold, Dirk Koch, Jim Tørresen:
Thermal Aware Module Placement for Heterogeneous 3D-IC Based FPGAs. IPDPS Workshops 2013: 281-286
[c80]
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Jim Tørresen, Yngve Hafting, Kristian Nymoen:
A New Wi-Fi based Platform for Wireless Sensor Data Collection. NIME 2013: 337-340
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Simen Gimle Hansen, Dirk Koch, Jim Tørresen:
Simulation framework for cycle-accurate RTL modeling of partial run-time reconfiguration in VHDL. ReCoSoC 2013: 1-8
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Alexander Wold, Dirk Koch, Jim Tørresen:
Component based design using constraint programming for module placement on FPGAs. ReCoSoC 2013: 1-8
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Kristian Nymoen, Arjun Chandra, Jim Tørresen:
The Challenge of Decentralised Synchronisation in Interactive Music Systems. SASO Workshops 2013: 95-100
2012
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Paul Kaufmann, Kyrre Glette, Marco Platzner, Jim Tørresen:
Compensating Resource Fluctuations by Means of Evolvable Hardware: The Run-Time Reconfigurable Functional Unit Row Classifier Architecture. Int. J. Adapt. Resilient Auton. Syst. 3(4): 17-31 (2012)
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Kazi Shah Nawaz Ripon, Kyrre Glette, Mats Høvin, Jim Tørresen:
Job Shop Scheduling with Transportation Delays and Layout Planning in Manufacturing Systems: A Multi-objective Evolutionary Approach. AIS 2012: 209-219
[c75]
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Dirk Koch, Jim Tørresen, Christian Beckhoff, Daniel Ziener, Christopher Dennl, Volker Breuer, Jürgen Teich, Michael Feilen, Walter Stechele:
Partial Reconfiguration on FPGAs in Practice - Tools and Applications. ARCS Workshops 2012: 297-319
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Arjun Chandra, Kristian Nymoen, Arve Voldsund, Alexander Refsum Jensenius, Kyrre Glette, Jim Tørresen:
Market-Based Control in Interactive Music Environments. CMMR 2012: 439-458
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Alexander Wold, Dirk Koch, Jim Tørresen:
Design techniques for increasing performance and resource utilization of reconfigurable soft CPUs. DDECS 2012: 50-55
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Kazi Shah Nawaz Ripon, Kyrre Glette, Mats Høvin, Jim Tørresen:
A multi-objective evolutionary algorithm for solving integrated scheduling and layout planning problems in manufacturing systems. EAIS 2012: 157-163
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Christian Beckhoff, Dirk Koch, Jim Tørresen:
Go Ahead: A Partial Reconfiguration Framework. FCCM 2012: 37-44
[c70]
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Kristian Nymoen, Arve Voldsund, Ståle Andreas Skogstad, Alexander Refsum Jensenius, Jim Tørresen:
Comparing Motion Data from an iPod Touch to a High-End Optical Infrared Marker-Based Motion Capture System. NIME 2012
[c69]
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Jim Tørresen, Øyvind N. Hauback, Dan Overholt, Alexander Refsum Jensenius:
Development and Evaluation of a ZigFlea-based Wireless Transceiver Board for CUI32. NIME 2012
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Gordon Klaus, Kyrre Glette, Jim Tørresen:
A Comparison of Sampling Strategies for Parameter Estimation of a Robot Simulator. SIMPAR 2012: 173-184
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Dirk Koch, Satnam Singh, Jim Tørresen:
22nd International Conference on Field Programmable Logic and Applications (FPL), Oslo, Norway, August 29-31, 2012. IEEE 2012, ISBN 978-1-4673-2257-7 [contents]
2011
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Kazi Shah Nawaz Ripon, Kyrre Glette, Mats Høvin, Jim Tørresen:
Dynamic facility layout problem under uncertainty: a Pareto-optimality based multi-objective evolutionary approach. Central Eur. J. Comput. Sci. 1(4): 375-386 (2011)
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Kazi Shah Nawaz Ripon, Nazmul H. Siddique, Jim Tørresen:
Improved precedence preservation crossover for multi-objective job shop scheduling problem. Evol. Syst. 2(2): 119-129 (2011)
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Kazi Shah Nawaz Ripon, Kyrre Glette, Dirk Koch, Mats Høvin, Jim Tørresen:
Genetic algorithm using a modified backward pass heuristic for the dynamic facility layout problem. Paladyn J. Behav. Robotics 2(3): 164-174 (2011)
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Kristian Nymoen, Jim Tørresen, Rolf Inge Godøy, Alexander Refsum Jensenius:
A Statistical Approach to Analyzing Sound Tracings. CMMR/FRSM 2011: 120-145
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Dirk Koch, Jim Tørresen:
FPGASort: a high performance sorting architecture exploiting run-time reconfiguration on fpgas for large problem sorting. FPGA 2011: 45-54
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Dirk Koch, Jim Tørresen:
A Routing Architecture for Mapping Dataflow Graphs at Run-Time. FPL 2011: 286-290
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Theodore W. Cornforth, Jim Tørresen, Hod Lipson:
Ion channel modeling with analog circuit evolution. GECCO (Companion) 2011: 33-34
[c63]
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Kazi Shah Nawaz Ripon, Kashif Nizam Khan, Kyrre Glette, Mats Høvin, Jim Tørresen:
Using pareto-optimality for solving multi-objective unequal area facility layout problem. GECCO 2011: 681-688
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Simen Gimle Hansen, Dirk Koch, Jim Tørresen:
High Speed Partial Run-Time Reconfiguration Using Enhanced ICAP Hard Macro. IPDPS Workshops 2011: 174-180
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Christian Beckhoff, Dirk Koch, Jim Tørresen:
Migrating Static Systems to Partially Reconfigurable Systems on Spartan-6 FPGAs. IPDPS Workshops 2011: 212-219
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Alexander Wold, Dirk Koch, Jim Tørresen:
Enhancing Resource Utilization with Design Alternatives in Runtime Reconfigurable Systems. IPDPS Workshops 2011: 264-270
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Kristian Nymoen, Baptiste Caramiaux, Mariusz Kozak, Jim Tørresen:
Analyzing sound tracings: a multimodal approach to music information retrieval. MIRUM 2011: 39-44
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Christian Beckhoff, Dirk Koch, Jim Tørresen:
The Xilinx Design Language (XDL): Tutorial and use cases. ReCoSoC 2011: 1-8
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Peter R. Lewis, Arjun Chandra, Shaun Parsons, Edward Robinson, Kyrre Glette, Rami Bahsoon, Jim Tørresen, Xin Yao:
A Survey of Self-Awareness and Its Application in Computing Systems. SASO Workshops 2011: 102-107
2010
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Marcus Furuholmen, Kyrre Glette, Mats Høvin, Jim Tørresen:
A Coevolutionary, Hyper Heuristic approach to the optimization of Three-dimensional Process Plant Layouts - A comparative study. IEEE Congress on Evolutionary Computation 2010: 1-8
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Marcus Furuholmen, Kyrre Glette, Mats Høvin, Jim Tørresen:
An Indirect Approach to the Three-Dimensional Multi-pipe Routing Problem. EuroGP 2010: 86-97
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Marcus Furuholmen, Kyrre Glette, Mats Høvin, Jim Tørresen:
Evolutionary Approaches to the Three-dimensional Multi-pipe Routing Problem: A Comparative Study Using Direct Encodings. EvoCOP 2010: 71-82
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Dirk Koch, Christian Beckhoff, Jim Tørresen:
Fine-Grained Partial Runtime Reconfiguration on Virtex-5 FPGAs. FCCM 2010: 69-72
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Christian Beckhoff, Dirk Koch, Jim Tørresen:
Short-Circuits on FPGAs Caused by Partial Runtime Reconfiguration. FPL 2010: 596-601
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Dirk Koch, Christian Beckhoff, Jim Tørresen:
Obstacle-free two-dimensional online-routing for run-time reconfigurable FPGA-based systems. FPT 2010: 208-215
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Dirk Koch, Christian Beckhoff, Jim Tørresen:
Advanced partial run-time reconfiguration on Spartan-6 FPGAs. FPT 2010: 361-364
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Dirk Koch, Jim Tørresen:
Routing optimizations for component-based system design and partial run-time reconfiguration on FPGAs. FPT 2010: 460-464
[c48]
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Erdal Kayacan, Okyay Kaynak, Rahib Hidayat Abiyev, Jim Tørresen, Mats Høvin, Kyrre Glette:
Design of an adaptive interval type-2 fuzzy logic controller for the position control of a servo system with an intelligent sensor. FUZZ-IEEE 2010: 1-8
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Tobias Knieper, Paul Kaufmann, Kyrre Glette, Marco Platzner, Jim Tørresen:
Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture. ICES 2010: 250-261
[c46]
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Alexander Refsum Jensenius, Kyrre Glette, Rolf Inge Godøy, Mats Høvin, Kristian Nymoen, Ståle Andreas Skogstad, Jim Tørresen:
Fourms, University Of Oslo - Lab Report. ICMC 2010
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Kazi Shah Nawaz Ripon, Kyrre Glette, Mats Høvin, Jim Tørresen:
An Adaptive Local Search Based Genetic Algorithm for Solving Multi-objective Facility Layout Problem. ICONIP (1) 2010: 540-550
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Kazi Shah Nawaz Ripon, Kyrre Glette, Mats Høvin, Jim Tørresen:
A Genetic Algorithm to Find Pareto-optimal Solutions for the Dynamic Facility Layout Problem with Multiple Objectives. ICONIP (1) 2010: 642-651
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Kristian Nymoen, Kyrre Glette, Ståle Andreas Skogstad, Jim Tørresen, Alexander Refsum Jensenius:
Searching for Cross-Individual Relationships between Sound and Movement Features using an SVM Classifier. NIME 2010: 259-262
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Jim Tørresen, Eirik Renton, Alexander Refsum Jensenius:
Wireless Sensor Data Collection based on ZigBee Communication. NIME 2010: 368-371
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Kazi Shah Nawaz Ripon, Kyrre Glette, Mats Høvin, Jim Tørresen:
Multi-objective evolutionary approach for solving facility layout problem using local search. SAC 2010: 1155-1156
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Dirk Koch, Christian Beckhoff, Jim Tørresen:
Zero logic overhead integration of partially reconfigurable modules. SBCCI 2010: 103-108
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Jim Tørresen, Dirk Koch:
A new project to address run-time reconfigurable hardware systems. Dynamically Reconfigurable Architectures 2010

2000 – 2009

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2009
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Kyrre Glette, Jim Tørresen, Mats Høvin:
Intermediate Level FPGA Reconfiguration for an Online EHW Pattern Recognition System. AHS 2009: 19-26
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Zdenek Vasícek, Michal Bidlo, Lukás Sekanina, Jim Tørresen, Kyrre Glette, Marcus Furuholmen:
Evolution of Impulse Bursts Noise Filters. AHS 2009: 27-34
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Marcus Furuholmen, Kyrre Glette, Mats Høvin, Jim Tørresen:
Coevolving heuristics for the Distributor's Pallet Packing Problem. IEEE Congress on Evolutionary Computation 2009: 2810-2817
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Marcus Furuholmen, Kyrre Harald Glette, Mats Erling Høvin, Jim Tørresen:
Scalability, generalization and coevolution -- experimental comparisons applied to automated facility layout planning. GECCO 2009: 691-698
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Kazi Shah Nawaz Ripon, Kyrre Glette, Omid Mirmotahari, Mats Høvin, Jim Tørresen:
Pareto Optimal Based Evolutionary Approach for Solving Multi-Objective Facility Layout Problem. ICONIP (2) 2009: 159-168
2008
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Jim Tørresen:
Incremental evolution of a signal classification hardware architecture for prosthetic hand control. Int. J. Knowl. Based Intell. Eng. Syst. 12(3): 187-199 (2008)
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Kyrre Glette, Jim Tørresen, Thiemo Gruber, Bernhard Sick, Paul Kaufmann, Marco Platzner:
Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control. AHS 2008: 32-39
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Hiroyuki Kawai, Yoshiki Yamaguchi, Moritoshi Yasunaga, Kyrre Glette, Jim Tørresen:
An adaptive pattern recognition hardware with on-chip shift register-based partial reconfiguration. FPT 2008: 169-176
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Kyrre Glette, Jim Tørresen, Paul Kaufmann, Marco Platzner:
A Comparison of Evolvable Hardware Architectures for Classification Tasks. ICES 2008: 22-33
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Marcus Furuholmen, Kyrre Glette, Jim Tørresen, Mats Høvin:
Indirect Online Evolution - A Conceptual Framework for Adaptation in Industrial Robotic Systems. ICES 2008: 165-176
2007
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Aleksander Paus, Jim Tørresen, Mats Høvin:
Adaptive Facial Behaviour using Selected Machine Learning Methods. AHS 2007: 225-232
[c29]
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Kyrre Glette, Jim Tørresen, Moritoshi Yasunaga:
Online Evolution for a High-Speed Image Recognition System Implemented On a Virtex-II Pro FPGA. AHS 2007: 463-470
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Jim Tørresen, Kyrre Glette:
Making Hardware Soft in Intelligent Systems. BLISS 2007: 87-90
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Jim Tørresen, Thor Arne Lovland:
Parts Obsolescence Challenges for the Electronics Industry. DDECS 2007: 131-134
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Jim Tørresen, Jorgen Norendal, Kyrre Glette:
Establishing a New Course in Reconfigurable Logic System Design. DDECS 2007: 227-230
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Kyrre Glette, Jim Tørresen, Moritoshi Yasunaga:
An Online EHW Pattern Recognition System Applied to Face Image Recognition. EvoWorkshops 2007: 271-280
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Kyrre Glette, Jim Tørresen, Moritoshi Yasunaga:
An Online EHW Pattern Recognition System Applied to Sonar Spectrum Classification. ICES 2007: 1-12
[c23]
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Jim Tørresen, Kyrre Glette:
Improving Flexibility in On-Line Evolvable Systems by Reconfigurable Computing. ICES 2007: 391-402
2006
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Kyrre Glette, Jim Tørresen, Moritoshi Yasunaga, Yoshiki Yamaguchi:
On-Chip Evolution Using a Soft Processor Core Applied to Image Recognition. AHS 2006: 373-380
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Jim Tørresen, Jonas Jakobsen:
An FPGA Implemented Processor Architecture with Adaptive Resolution. AHS 2006: 386-389
2005
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Kyrre Glette, Jim Tørresen:
A Flexible On-Chip Evolution System Implemented on a Xilinx Virtex-II Pro Device. ICES 2005: 66-75
2004
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Jim Tørresen:
Exploring Knowledge Schemes for Efficient Evolution of Hardware. Evolvable Hardware 2004: 209-216
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Jim Tørresen:
An Evolvable Hardware Tutorial. FPL 2004: 821-830
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Jim Tørresen, Jorgen W. Bakke, Lukás Sekanina:
Recognizing Speed Limit Sign Numbers by Evolvable Hardware. PPSN 2004: 682-691
2003
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Knut Arne Vinger, Jim Tørresen:
Implementing Evolution of FIR-Filters Efficiently in an FPGA. Evolvable Hardware 2003: 26-32
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Shaomeng Li, Jim Tørresen, Oddvar Søråsen:
Exploiting Reconfigurable Hardware for Network Security. FCCM 2003: 292-293
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Shaomeng Li, Jim Tørresen, Oddvar Søråsen:
Exploiting Stateful Inspection of Network Security in Reconfigurable Hardware. FPL 2003: 1153-1157
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Jim Tørresen:
Evolving Multiplier Circuits by Training Set and Training Vector Partitioning. ICES 2003: 228-237
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Andrew M. Tyrrell, Pauline C. Haddow, Jim Tørresen:
Evolvable Systems: From Biology to Hardware, 5th International Conference, ICES 2003, Trondheim, Norway, March 17-20, 2003, Proceedings. Lecture Notes in Computer Science 2606, Springer 2003, ISBN 3-540-00730-X [contents]
2002
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Jim Tørresen:
A Scalable Approach to Evolvable Hardware. Genet. Program. Evolvable Mach. 3(3): 259-282 (2002)
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Jim Tørresen, Knut Arne Vinger:
High Performance Computing by Context Switching Reconfigurable Logic. ESM 2002: 207-210
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Jim Tørresen, Vidar Engh Skangen:
A Signal Processing Architecture Based on RAM Technology. ESM 2002: 317-319
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Lukás Sekanina, Jim Tørresen:
Detection of Norwegian Speed Limit Signs. ESM 2002: 337-340
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Jim Tørresen:
Evolving both Hardware Subsystems and the Selection of Variants of such into an Assembled System. ESM 2002: 451-457
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Jim Tørresen:
A Dynamic Fitness Function Applied to Improve the Generalisation when Evolving a Signal Processing Hardware Architecture. EvoWorkshops 2002: 267-279
2001
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Jim Tørresen:
Two-Step Incremental Evolution of a Prosthetic Hand Controller Based on Digital Logic Gates. ICES 2001: 1-13
2000
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Jim Tørresen:
Scalable Evolvable Hardware Applied to Road Image Recognition. Evolvable Hardware 2000: 245-252
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Jim Tørresen:
Possibilities and Limitations of Applying Evolvable Hardware to Real-World Applications. FPL 2000: 230-239

1990 – 1999

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1998
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Jim Tørresen:
A Divide-and-Conquer Approach to Evolvable Hardware. ICES 1998: 57-65
1997
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Jim Tørresen:
The Convergence of Backpropagation Trained Neural Networks for Various Weight Update Frequencies. Int. J. Neural Syst. 8(3): 263-277 (1997)
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Jim Tørresen:
Evolvable Hardware - A Short Introduction. ICONIP (1) 1997: 674-677
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Jim Tørresen, Shin-ichiro Mori, Hiroshi Nakashima, Shinji Tomita, Olav Landsverk:
Exploiting Parallel Computers to Reduce Neural Network Training Time of Real Applications. ISHPC 1997: 405-414
1995
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Jim Tørresen, Hiroshi Nakashima, Shinji Tomita, Olav Landsverk:
General mapping of feed-forward neural networks onto an MIMD computer. ICNN 1995: 1048-1053

Coauthor Index

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