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2020 – today
- 2025
[j17]Jian Xi
, Melanie Siegel, Dirk Labudde, Michael Spranger:
Towards a joint semantic analysis in mobile forensics environments. Forensic Sci. Int. Digit. Investig. 52: 301846 (2025)- 2024
- [c50]Jian Xi, Lukas Jaeckel, Michael Spranger, Melanie Siegel, Dirk Labudde:
Forensic Communication Analysis: Challenges and Opportunities. CSR 2024: 878-883 - [c49]Jenny Felser, Michael Spranger:
Semi-supervised topic modelling as a tool for hypothesis-driven forensic communication analysis. INFORMATIK 2024: 321-330 - [i23]Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu:
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR abs/2403.19866 (2024) - [i22]Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu:
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget. CoRR abs/2407.15811 (2024) - 2023
- [j16]Rania Rayyes, Heiko Donat, Jochen J. Steil, Michael Spranger:
Interest-Driven Exploration With Observational Learning for Developmental Robots. IEEE Trans. Cogn. Dev. Syst. 15(2): 373-384 (2023) - [c48]Jenny Felser, Christoph Demus, Dirk Labudde, Michael Spranger:
FoSIL at PAN'23: Trigger Detection with a Two Stage Topic Classifier. CLEF (Working Notes) 2023: 2574-2587 - [c47]Michael Spranger:
Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning. ICAART 2023: 11 - [c46]Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang:
T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). ICDE 2023: 3843-3844 - [c45]Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger:
MECTA: Memory-Economic Continual Test-Time Model Adaptation. ICLR 2023 - [c44]Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger:
MocoSFL: enabling cross-client collaborative self-supervised learning. ICLR 2023 - [i21]Samy Badreddine, Luciano Serafini, Michael Spranger:
logLTN: Differentiable Fuzzy Logic in the Logarithm Space. CoRR abs/2306.14546 (2023) - [i20]Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger:
Assessing SATNet's Ability to Solve the Symbol Grounding Problem. CoRR abs/2312.11522 (2023) - 2022
- [j15]Samy Badreddine, Artur S. d'Avila Garcez, Luciano Serafini, Michael Spranger:
Logic Tensor Networks. Artif. Intell. 303: 103649 (2022) - [j14]Peter R. Wurman, Peter Stone, Michael Spranger:
Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing. IEEE Intell. Syst. 37(3): 20-23 (2022) - [j13]Akira Taniguchi, Michael Spranger, Hiroshi Yamakawa, Tetsunari Inamura:
Editorial: Constructive approach to spatial cognition in intelligent robotics. Frontiers Neurorobotics 16 (2022) - [j12]Michael Spranger, Jian Xi, Lukas Jaeckel, Jenny Felser, Dirk Labudde:
MoNA: A Forensic Analysis Platform for Mobile Communication. Künstliche Intell. 36(2): 163-169 (2022) - [j11]Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Raj Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano:
Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. 602(7896): 223-228 (2022) - [j10]Freek Stulp, Michael Spranger, Kim Listmann, Stéphane Doncieux, Moritz Tenorth, George Konidaris, Pieter Abbeel:
Innovation Paths for Machine Learning in Robotics [Industry Activities]. IEEE Robotics Autom. Mag. 29(4): 141-144 (2022) - [j9]Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang:
T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation. IEEE Trans. Knowl. Data Eng. 34(6): 2988-3001 (2022) - [c43]Andy Ludwig, Jenny Felser, Jian Xi, Dirk Labudde, Michael Spranger:
FoSIL at CheckThat!-2022: Using Human Behaviour-Based Optimization for Text Classification. CLEF (Working Notes) 2022: 584-594 - [c42]Jenny Felser, Jian Xi, Christoph Demus, Dirk Labudde, Michael Spranger:
Recommendation of Query Terms for Colloquial Texts in Forensic Text Analysis. GI-Jahrestagung 2022: 35-47 - [c41]Kana Maruyama, Michael Spranger:
Interpretable Relational Representations for Food Ingredient Recommendation Systems. ICCC 2022: 271-275 - [c40]Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger:
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. NeurIPS 2022 - [i19]Kenzo Lobos-Tsunekawa, Akshay Srinivasan, Michael Spranger:
MA-Dreamer: Coordination and communication through shared imagination. CoRR abs/2204.04687 (2022) - [i18]Homayun Afrabandpey, Michael Spranger:
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints. CoRR abs/2210.05993 (2022) - [i17]Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger:
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. CoRR abs/2210.12575 (2022) - 2021
- [j8]Keonwoo Kim, Donghyeon Park, Michael Spranger, Kana Maruyama, Jaewoo Kang:
RecipeBowl: A Cooking Recommender for Ingredients and Recipes Using Set Transformer. IEEE Access 9: 143623-143633 (2021) - [j7]Tadahiro Taniguchi, Takato Horii, Xavier Hinaut, Michael Spranger, Daichi Mochihashi, Takayuki Nagai:
Editorial: Language and Robotics. Frontiers Robotics AI 8: 674832 (2021) - [c39]Ricardo Guerrero, Michael Spranger, Shuqiang Jiang, Chong-Wah Ngo:
AIxFood'21: 3rd Workshop on AIxFood. ACM Multimedia 2021: 5688-5689 - [c38]Samy Badreddine, Michael Spranger:
Extending Real Logic with Aggregate Functions. NeSy 2021: 115-125 - [p8]Luciano Serafini, Artur S. d'Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi:
Logic Tensor Networks: Theory and Applications. Neuro-Symbolic Artificial Intelligence 2021: 370-394 - [e1]Ricardo Guerrero, Michael Spranger, Shuqiang Jiang, Chong-Wah Ngo:
AI & Food'21: Proceedings of the 3rd Workshop on AIxFood, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8673-9 [contents] - [i16]Badr AlKhamissi, Muhammad N. ElNokrashy, Michael Spranger:
The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL. CoRR abs/2104.02959 (2021) - [i15]Ryuji Imamura, Takuma Seno, Kenta Kawamoto, Michael Spranger:
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation. CoRR abs/2111.06449 (2021) - 2020
- [j6]Malte Schilling, Katharina J. Rohlfing, Paul Vogt, Chen Yu, Michael Spranger:
Guest Editorial Special Issue on Multidisciplinary Perspectives on Mechanisms of Language Learning. IEEE Trans. Cogn. Dev. Syst. 12(2): 134-138 (2020) - [c37]Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang:
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. NeurIPS 2020 - [c36]Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger:
Assessing SATNet's Ability to Solve the Symbol Grounding Problem. NeurIPS 2020 - [i14]Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang:
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. CoRR abs/2010.01916 (2020) - [i13]Samy Badreddine, Artur S. d'Avila Garcez, Luciano Serafini, Michael Spranger:
Logic Tensor Networks. CoRR abs/2012.13635 (2020)
2010 – 2019
- 2019
- [j5]Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran:
Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. FLAP 6(4): 611-632 (2019) - [c35]Xavier Hinaut, Michael Spranger:
Learning to Parse Grounded Language using Reservoir Computing. ICDL-EPIROB 2019: 266-271 - [c34]Andreas Gerken, Michael Spranger:
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) For Learning Multi-Goal, Continuous Action and State Space Controllers. ICRA 2019: 7173-7179 - [c33]Franz Bellmann, Lea Bunzel, Christoph Demus, Lisa Fellendorf, Olivia Gräupner, Qiuyi Hu, Tamara Lange, Alica Stuhr, Jian Xi, Dirk Labudde, Michael Spranger:
Multi-Label Classification of Blurbs with SVM Classifier Chains. KONVENS 2019 - [c32]Florian Schmid, Justine Thielemann, Anna Mantwill, Jian Xi, Dirk Labudde, Michael Spranger:
FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques. KONVENS 2019 - [c31]Samy Badreddine, Michael Spranger:
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. NeSy@IJCAI 2019 - [i12]Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran:
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. CoRR abs/1905.06088 (2019) - [i11]Samy Badreddine, Michael Spranger:
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. CoRR abs/1906.06576 (2019) - [i10]Andreas Gerken, Michael Spranger:
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers. CoRR abs/1908.10255 (2019) - [i9]Michael Spranger, Tadahiro Taniguchi, Angelo Cangelosi:
Learning to Communicate: Challenges in Language Learning by AI, Robots and Humans (NII Shonan Meeting 150). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [c30]Pontus Loviken, Nikolas Hemion, Alban Laflaquière, Michael Spranger, Angelo Cangelosi:
Online Learning of Body Orientation Control on a Humanoid Robot Using Finite Element Goal Babbling. IROS 2018: 4091-4098 - 2017
- [c29]Michael A. Arbib, Nancy Chang, Peter F. Dominey, Victor Barrès, Michael Spranger:
Can We Already Conceive of a Computational Construction Grammar that is Adequate to Address the Data of Neurolinguistics? AAAI Spring Symposia 2017 - [c28]Michael Spranger:
Usage-Based Grounded Construction Learning - A Computational Model. AAAI Spring Symposia 2017 - [c27]Wojciech Kusa, Michael Spranger:
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway. BioNLP 2017: 247-256 - [c26]Jens Nevens, Michael Spranger:
Computational models of tutor feedback in language acquisition. ICDL-EPIROB 2017: 221-226 - [c25]Jens Nevens, Michael Spranger:
Impact of Tutoring Strategies in Grounded Lexicon Learning. ICSR 2017: 355-364 - [i8]Wojciech Kusa, Michael Spranger:
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway. CoRR abs/1707.02063 (2017) - [i7]Jens Nevens, Michael Spranger:
Computational Models of Tutor Feedback in Language Acquisition. CoRR abs/1707.02230 (2017) - 2016
- [j4]Mehul Bhatt, Esra Erdem, Fredrik Heintz, Michael Spranger:
Cognitive robotics. J. Exp. Theor. Artif. Intell. 28(5): 779-780 (2016) - [c24]Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh:
Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway. BioNLP@ACL 2016: 119-127 - [c23]Michael Spranger, Katrien Beuls:
Referential uncertainty and word learning in high-dimensional, continuous meaning spaces. ICDL-EPIROB 2016: 95-100 - [c22]Michael Spranger, Jakob Suchan, Mehul Bhatt:
Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language. IJCAI 2016: 2908-2914 - [i6]Michael Spranger, Jakob Suchan, Mehul Bhatt:
Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics and Construction Grammar for Spatial Language. CoRR abs/1607.05968 (2016) - [i5]Michael Spranger, Jakob Suchan, Mehul Bhatt, Manfred Eppe:
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction. CoRR abs/1607.07565 (2016) - [i4]Michael Spranger:
Grounded Lexicon Acquisition - Case Studies in Spatial Language. CoRR abs/1607.07630 (2016) - [i3]Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh:
Extracting Biological Pathway Models From NLP Event Representations. CoRR abs/1608.03764 (2016) - [i2]Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh:
Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway. CoRR abs/1608.03767 (2016) - [i1]Michael Spranger, Katrien Beuls:
Referential Uncertainty and Word Learning in High-dimensional, Continuous Meaning Spaces. CoRR abs/1609.09580 (2016) - 2015
- [c21]Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh:
Extracting Biological Pathway Models From NLP Event Representations. BioNLP@IJCNLP 2015: 42-51 - [c20]Yana Knight, Michael Spranger, Luc Steels:
A Vector Representation of Fluid Construction Grammar Using Holographic Reduced Representations. EAPCogSci 2015 - [c19]Michael Spranger:
Incremental grounded language learning in robot-robot interactions - Examples from spatial language. ICDL-EPIROB 2015: 196-201 - [c18]Michael Spranger, Luc Steels:
Co-Acquisition of Syntax and Semantics - An Investigation in Spatial Language. IJCAI 2015: 1909-1915 - [c17]Michael Spranger:
Procedural semantics for autonomous robots - a case study in locative spatial language. IROS 2015: 4204-4209 - 2014
- [c16]Michael Spranger, Luc Steels:
Discovering communication through ontogenetic ritualisation. ICDL-EPIROB 2014: 14-19 - [c15]Michael Spranger, Jakob Suchan, Mehul Bhatt, Manfred Eppe:
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction. PRICAI 2014: 958-971 - 2013
- [j3]Michael Spranger:
Evolving Grounded Spatial Language Strategies. Künstliche Intell. 27(2): 97-106 (2013) - [c14]Michael Spranger:
Evolutionary Explanations for Spatial Language - A Case Study on Landmarks. ECAL 2013: 1199-1205 - [c13]Michael Spranger:
Grounded lexicon acquisition - Case studies in spatial language. ICDL-EPIROB 2013: 1-6 - 2012
- [p7]Manfred Hild, Torsten Siedel, Christian Benckendorff, Christian Thiele, Michael Spranger:
Myon, a New Humanoid. Language Grounding in Robots 2012: 25-44 - [p6]Michael Spranger, Martin Loetzsch, Luc Steels:
A Perceptual System for Language Game Experiments. Language Grounding in Robots 2012: 89-110 - [p5]Sebastian Höfer, Michael Spranger, Manfred Hild:
Posture Recognition Based on Slow Feature Analysis. Language Grounding in Robots 2012: 111-130 - [p4]Michael Spranger, Simon Pauw, Martin Loetzsch, Luc Steels:
Open-ended Procedural Semantics. Language Grounding in Robots 2012: 153-172 - [p3]Michael Spranger, Simon Pauw:
Dealing with Perceptual Deviation: Vague Semantics for Spatial Language and Quantification. Language Grounding in Robots 2012: 173-192 - [p2]Kateryna Gerasymova, Michael Spranger:
An Experiment in Temporal Language Learning. Language Grounding in Robots 2012: 237-254 - [p1]Luc Steels, Michael Spranger, Remi van Trijp, Sebastian Höfer, Manfred Hild:
Emergent Action Language on Real Robots. Language Grounding in Robots 2012: 255-276 - 2011
- [c12]Michael Spranger:
Recruitment, selection and alignment of spatial language strategies. ECAL 2011: 771-778 - [c11]Simon Pauw, Michael Spranger:
Embodied Quantifiers. ESSLLI Student Sessions 2011: 52-66 - 2010
- [j2]Michael Spranger, Christian Thiele, Manfred Hild:
Integrating high-level cognitive systems with sensorimotor control. Adv. Eng. Informatics 24(1): 76-83 (2010) - [c10]Kateryna Gerasymova, Michael Spranger:
Acquisition of Grammar in Autonomous Artificial Systems. ECAI 2010: 923-928 - [c9]Michael Spranger, Martin Loetzsch, Simon Pauw:
Open-ended Grounded Semantics. ECAI 2010: 929-934
2000 – 2009
- 2009
- [c8]Luc Steels, Michael Spranger:
How Experience of the Body Shapes Language about Space. IJCAI 2009: 14-19 - [c7]Michael Spranger, Sebastian Höfer, Manfred Hild:
Biologically inspired posture recognition and posture change detection for humanoid robots. ROBIO 2009: 562-567 - 2008
- [j1]Luc Steels, Michael Spranger:
The robot in the mirror. Connect. Sci. 20(4): 337-358 (2008) - [c6]Luc Steels, Michael Spranger:
Can Body Language Shape Body Image? ALIFE 2008: 577-584 - [c5]Heinrich Mellmann, Matthias Jüngel, Michael Spranger:
Using reference objects to improve vision-based bearing measurements. IROS 2008: 3939-3945 - 2007
- [c4]Matthias Jüngel, Heinrich Mellmann, Michael Spranger:
Improving Vision-Based Distance Measurements Using Reference Objects. RoboCup 2007: 89-100 - 2006
- [c3]Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel, Hans-Dieter Burkhard:
Further Studies on the Use of Negative Information in Mobile Robot Localization. ICRA 2006: 62-67 - 2005
- [c2]Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel:
Making use of what you don't see: negative information in Markov localization. IROS 2005: 2947-2952 - [c1]Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel:
Exploiting the Unexpected: Negative Evidence Modeling and Proprioceptive Motion Modeling for Improved Markov Localization. RoboCup 2005: 24-35
Coauthor Index
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