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Tommi J. Kärkkäinen
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2020 – today
- 2024
[j43]Pieta Sikström
, Chiara Valentini, Anu Sivunen, Tommi Kärkkäinen:
Pedagogical agents communicating and scaffolding students' learning: High school teachers' and students' perspectives. Comput. Educ. 222: 105140 (2024)- [j42]Jarkko Hautala, Mirka Saarela, Otto Loberg, Tommi Kärkkäinen:
A design for neural network model of continuous reading. Cogn. Syst. Res. 88: 101284 (2024) - [j41]Merja Laamanen, Tarja Ladonlahti, Hannu Puupponen, Tommi Kärkkäinen:
Does the law matter? An empirical study on the accessibility of Finnish higher education institutions' web pages. Univers. Access Inf. Soc. 23(1): 475-491 (2024) - [j40]Aura Kaarivuo, Jonas Oppenländer, Tommi Kärkkäinen, Tommi Mikkonen:
Exploring emergent soundscape profiles from crowdsourced audio data. Comput. Environ. Urban Syst. 110: 102112 (2024) - [c83]Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen:
Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet Countries. EDM 2024 - [c82]Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen, Sabina Aghayeva:
Principals' use of data analytics in Finnish schools. EDM 2024 - [c81]Antti Immonen, Priyanka Goel, Tomi Koskinen, Matias Pekkanen, Ilkka Tittonen, Tommi Kärkkäinen, Pertti Silventoinen, Mikko Kuisma:
Printed Circuit-Based Thermoelectric Sensor Film for Temperature Distribution Measurements. I2MTC 2024: 1-6 - [c80]Ville Heilala, Sami Lehesvuori, Raija Hämäläinen, Tommi Kärkkäinen:
Toward Scalable and Transparent Multimodal Analytics to Study Standard Medical Procedures: Linking Hand Movement, Proximity, and Gaze Data. SAC 2024: 3-10 - [i9]Marko Niemelä, Mikaela von Bonsdorff, Sami Äyrämö, Tommi Kärkkäinen:
Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model. CoRR abs/2402.01824 (2024) - 2023
- [j39]Antero Karvonen, Tuomo Kujala, Tommi Kärkkäinen, Pertti Saariluoma:
Fundamental concepts of cognitive mimetics. Cogn. Syst. Res. 82: 101166 (2023) - [j38]Ville Heilala, Riitta Kelly, Mirka Saarela, Päivikki Jääskelä, Tommi Kärkkäinen:
The Finnish Version of the Affinity for Technology Interaction (ATI) Scale: Psychometric Properties and an Examination of Gender Differences. Int. J. Hum. Comput. Interact. 39(4): 874-892 (2023) - [j37]Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen:
Feature selection for distance-based regression: An umbrella review and a one-shot wrapper. Neurocomputing 518: 344-359 (2023) - [j36]Tommi Kärkkäinen, Jan Hänninen:
Additive autoencoder for dimension estimation. Neurocomputing 551: 126520 (2023) - [j35]Joni Lämsä, Joonas Mannonen, Ari Tuhkala, Ville Heilala, Arto Helovuo, Ilkka Tynkkynen, Emilia Lampi, Katriina Sipiläinen, Tommi Kärkkäinen, Raija Hämäläinen:
Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators. J. Comput. Assist. Learn. 39(5): 1553-1563 (2023) - [j34]Denis Zhidkikh, Mirka Saarela, Tommi Kärkkäinen:
Measuring self-regulated learning in a junior high school mathematics classroom: Combining aptitude and event measures in digital learning materials. J. Comput. Assist. Learn. 39(6): 1834-1851 (2023) - [c79]Huashuai Xu, Huanjie Li, Tommi Kärkkäinen, Fengyu Cong:
Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities. CIPAE 2023: 726-732 - [c78]Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen:
Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning. EDM 2023 - [c77]Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen:
The impact of online educational platform on students' motivation and grades: the case of Khan Academy in the under-resourced communities. EDM 2023 - [c76]Joakim Linja, Joonas Hämäläinen, Tommi Kärkkäinen:
Feature Selection for Multi-label Classification with Minimal Learning Machine. ESANN 2023 - [c75]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang:
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR 2023 - [c74]Mikko Nykyri, Tommi J. Kärkkäinen, Salla Annala, Johanna Naukkarinen, Pertti Silventoinen:
Tutorial Serious Game for Demonstrating Demand Response in an Energy Community. ISGT EUROPE 2023: 1-5 - [p2]Minna Kilpala, Tommi Kärkkäinen, Timo Hämäläinen:
Differential Privacy: An Umbrella Review. Artificial Intelligence and Cybersecurity 2023: 167-183 - [i8]Joakim Linja, Joonas Hämäläinen, Antti Pihlajamäki, Paavo Nieminen, Sami Malola, Hannu Häkkinen, Tommi Kärkkäinen:
Knowledge Discovery from Atomic Structures using Feature Importances. CoRR abs/2303.09453 (2023) - [i7]Joonas Hämäläinen, Amauri H. de Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen:
Minimal Learning Machine for Multi-Label Learning. CoRR abs/2305.05518 (2023) - [i6]Ville Heilala, Sami Lehesvuori, Raija Hämäläinen, Tommi Kärkkäinen:
Toward Scalable and Transparent Multimodal Analytics to Study Standard Medical Procedures: Linking Hand Movement, Proximity, and Gaze Data. CoRR abs/2312.05368 (2023) - 2022
- [j33]Marko Niemelä, Sami Äyrämö, Tommi Kärkkäinen:
Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values. IEEE Access 10: 352-367 (2022) - [j32]Mikko Nykyri, Tommi J. Kärkkäinen, Salla Annala, Pertti Silventoinen:
Review of Demand Response and Energy Communities in Serious Games. IEEE Access 10: 91018-91026 (2022) - [j31]Pieta Sikström, Chiara Valentini, Anu Sivunen, Tommi Kärkkäinen:
How pedagogical agents communicate with students: A two-phase systematic review. Comput. Educ. 188: 104564 (2022) - [c73]Xiaoshuang Wang, Tommi Kärkkäinen, Fengyu Cong:
Seizure Prediction Using EEG Channel Selection Method. MLSP 2022: 1-6 - [d1]Saku Levikari, Tommi J. Kärkkäinen, Caroline Andersson, Juha Tamminen, Mikko Nykyri, Pertti Silventoinen:
MLCC Acoustic Data (2220 case size, processed). IEEE DataPort, 2022
- [i5]Tommi Kärkkäinen, Jan Hänninen:
An Additive Autoencoder for Dimension Estimation. CoRR abs/2210.06773 (2022) - 2021
- [j30]Jonny M. Ingman, Joni P. A. Jormanainen, Samu K. Järvinen, Natalia I. Kanko, Joonas A. R. Leppänen, Aleksi M. Vulli, Tommi J. Kärkkäinen, Juuso Rautio, Janne Jäppinen, Pertti Silventoinen:
Detection of Corrosion in Thick Film Resistors by X-Ray Imaging. IEEE Access 9: 133795-133808 (2021) - [j29]Mirka Saarela, Ville Heilala, Päivikki Jääskelä, Anne Rantakaulio, Tommi Kärkkäinen:
Explainable Student Agency Analytics. IEEE Access 9: 137444-137459 (2021) - [j28]Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi:
Improving Scalable K-Means++. Algorithms 14(1): 6 (2021) - [j27]Peter Raatikainen, Jarkko Hautala, Otto Loberg, Tommi Kärkkäinen, Paavo H. T. Leppänen, Paavo Nieminen:
Detection of developmental dyslexia with machine learning using eye movement data. Array 12: 100087 (2021) - [j26]Päivikki Jääskelä, Ville Heilala, Tommi Kärkkäinen, Päivi Häkkinen:
Student agency analytics: learning analytics as a tool for analysing student agency in higher education. Behav. Inf. Technol. 40(8): 790-808 (2021) - [j25]Xiaoshuang Wang, Xiulin Wang, Wenya Liu, Zheng Chang, Tommi Kärkkäinen, Fengyu Cong:
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG. Neurocomputing 459: 212-222 (2021) - [c72]Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen:
Instance-Based Multi-Label Classification via Multi-Target Distance Regression. ESANN 2021 - [c71]Antti Pihlajamäki, Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Sami Malola, Tommi Kärkkäinen, Hannu Häkkinen:
Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces. ESANN 2021 - 2020
- [j24]Saku Levikari, Tommi J. Kärkkäinen, Caroline Andersson, Juha Tamminen, Mikko Nykyri, Pertti Silventoinen:
Nondestructive Acoustic Testing of Ceramic Capacitors Using One-Class Support Vector Machine With Automated Hyperparameter Selection. IEEE Access 8: 226337-226351 (2020) - [j23]Marko Niemelä, Tommi Kärkkäinen, Sami Äyrämö, Miia Ronimus, Ulla Richardson, Heikki Lyytinen:
Game learning analytics for understanding reading skills in transparent writing system. Br. J. Educ. Technol. 51(6): 2376-2390 (2020) - [j22]Mirka Saarela, Tommi Kärkkäinen:
Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator. J. Informetrics 14(2): 101008 (2020) - [j21]Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen:
Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine? Mach. Learn. Knowl. Extr. 2(4): 533-557 (2020) - [c70]Joonas Hämäläinen, Tommi Kärkkäinen:
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression. ESANN 2020: 691-696 - [c69]Ville Heilala, Mirka Saarela, Päivikki Jääskelä, Tommi Kärkkäinen:
Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics. FIE 2020: 1-9 - [c68]Juhamatti Korhonen, Heikki Järvisalo, Tommi J. Kärkkäinen, Aleksi Mattsson:
Improved Modulation for Packed E-Cell Converter. IECON 2020: 1347-1352 - [i4]Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi:
Scalable Initialization Methods for Large-Scale Clustering. CoRR abs/2007.11937 (2020)
2010 – 2019
- 2019
- [j20]Ari Tuhkala, Marie-Louise Wagner, Ole Sejer Iversen, Tommi Kärkkäinen:
Technology Comprehension - Combining computing, design, and societal reflection as a national subject. Int. J. Child Comput. Interact. 20: 54-63 (2019) - [j19]Mirka Saarela, Jukka Lahtonen, Minna Ruoranen, Annika Mäkeläinen, Teuvo Antikainen, Tommi Kärkkäinen:
Automatic Profiling of Open-Ended Survey Data on Medical Workplace Teaching. Int. J. Emerg. Technol. Learn. 14(5): 97-107 (2019) - [j18]Tommi Kärkkäinen:
Extreme minimal learning machine: Ridge regression with distance-based basis. Neurocomputing 342: 33-48 (2019) - [j17]Antti-Jussi Lakanen, Tommi Kärkkäinen:
Identifying Pathways to Computer Science: The Long-Term Impact of Short-Term Game Programming Outreach Interventions. ACM Trans. Comput. Educ. 19(3): 20:1-20:30 (2019) - [c67]Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen:
Sparse minimal learning machine using a diversity measure minimization. ESANN 2019 - [c66]Jarno Kansanaho, Tommi Kärkkäinen:
Hybrid vibration signal monitoring approach for rolling element bearings. ESANN 2019 - [c65]Tommi Kärkkäinen:
Model selection for Extreme Minimal Learning Machine using sampling. ESANN 2019 - [c64]Jussi Rasku, Nysret Musliu, Tommi Kärkkäinen:
Feature and Algorithm Selection for Capacitated Vehicle Routing Problems. ESANN 2019 - [c63]Mikko Nykyri, Mikko Kuisma, Tommi J. Kärkkäinen, Tero Junkkari, Kari Kerkelä, Jouko Puustinen, Jesse Myrberg, Jukka Hallikas:
Predictive Analytics in a Pulp Mill using Factory Automation Data - Hidden Potential. INDIN 2019: 1014-1020 - [c62]Mikko Nykyri, Mikko Kuisma, Tommi J. Kärkkäinen, Jukka Hallikas, Janne Jäppinen, Katriina Korpinen, Pertti Silventoinen:
IoT Demonstration Platform for Education and Research. INDIN 2019: 1155-1162 - [c61]Alan L. S. Matias, César L. C. Mattos, Tommi Kärkkäinen, João P. P. Gomes, Ajalmar R. da Rocha Neto:
OnMLM: An Online Formulation for the Minimal Learning Machine. IWANN (1) 2019: 557-568 - [i3]Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes:
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection. CoRR abs/1909.09978 (2019) - [i2]Jarno Kansanaho, Tommi Kärkkäinen:
Software Framework for Tribotronic Systems. CoRR abs/1910.13764 (2019) - [i1]Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse:
Mislabel Detection of Finnish Publication Ranks. CoRR abs/1912.09094 (2019) - 2018
- [j16]Ari Tuhkala, Tommi Kärkkäinen:
Using Slack for computer-mediated communication to support higher education students' peer interactions during Master's thesis seminar. Educ. Inf. Technol. 23(6): 2379-2397 (2018) - [j15]Saku Levikari, Tommi Kärkkäinen, Caroline Andersson, Juha Tamminen, Pertti Silventoinen:
Acoustic Phenomena in Damaged Ceramic Capacitors. IEEE Trans. Ind. Electron. 65(1): 570-577 (2018) - [c60]Riku Nykänen, Tommi Kärkkäinen:
A Knowledge Interface System for Information and Cyber Security Using Semantic Wiki. DESRIST 2018: 316-330 - [c59]Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi:
Scalable robust clustering method for large and sparse data. ESANN 2018 - [c58]Tommi Kärkkäinen:
Extreme Minimal Learning Machine. ESANN 2018 - [c57]Marko Niemelä, Sami Äyrämö, Tommi Kärkkäinen:
Comparison of cluster validation indices with missing data. ESANN 2018 - [c56]Ari Tuhkala, Marie-Louise Wagner, Nick Nielsen, Ole Sejer Iversen, Tommi Kärkkäinen:
Technology Comprehension: Scaling Making into a National Discipline. FabLearn Europe 2018: 72-80 - [c55]Ari Tuhkala, Tommi Kärkkäinen, Paavo Nieminen:
Semi-automatic literature mapping of participatory design studies 2006-2016. PDC (2) 2018: 6:1-6:5 - 2017
- [j14]Joonas Hämäläinen, Susanne Jauhiainen, Tommi Kärkkäinen:
Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering. Algorithms 10(3): 105 (2017) - [c54]Mariia Gavriushenko, Mirka Saarela, Tommi Kärkkäinen:
Supporting Institutional Awareness and Academic Advising using Clustered Study Profiles. CSEDU (1) 2017: 35-46 - [c53]Ville Isomöttönen, Tommi Kärkkäinen:
Habituating Students to IPR Questions During Creative Project Work. CSEDU (2) 2017: 95-102 - [c52]João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen:
A Robust Minimal Learning Machine based on the M-Estimator. ESANN 2017 - [c51]Susanne Jauhiainen, Tommi Kärkkäinen:
A Simple Cluster Validation Index with Maximal Coverage. ESANN 2017 - [c50]Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén:
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. IJCNN 2017: 1916-1923 - [c49]Mirka Saarela, Joonas Hämäläinen, Tommi Kärkkäinen:
Feature Ranking of Large, Robust, and Weighted Clustering Result. PAKDD (1) 2017: 96-109 - 2016
- [j13]Mirka Saarela, Tommi Kärkkäinen, Tommi Lahtonen, Tuomo Rossi:
Expert-based versus citation-based ranking of scholarly and scientific publication channels. J. Informetrics 10(3): 693-718 (2016) - [c48]Joonas Hämäläinen, Tommi Kärkkäinen:
Initialization of big data clustering using distributionally balanced folding. ESANN 2016 - [c47]Tommi Kärkkäinen, Jan Hänninen:
Comparison of Four- and Six-Layered Configurations for Deep Network Pretraining. ESANN 2016 - [c46]Paavo Nieminen, Tommi Kärkkäinen:
Multicriteria optimized MLP for imbalanced learning. ESANN 2016 - [c45]Alexandr V. Maslov, Hoang Thanh Lam, Mykola Pechenizkiy, Eric Bouillet, Tommi Kärkkäinen:
DOBRO: a prediction error correcting robot under drifts. SAC 2016: 945-948 - [c44]Jussi Rasku, Tommi Kärkkäinen, Nysret Musliu:
Feature Extractors for Describing Vehicle Routing Problem Instances. SCOR 2016: 7:1-7:13 - [c43]Alexandr V. Maslov, Mykola Pechenizkiy, Indre Zliobaite, Tommi Kärkkäinen:
Modelling Recurrent Events for Improving Online Change Detection. SDM 2016: 549-557 - [c42]Riku Nykänen, Tommi Kärkkäinen:
Supporting Cyber Resilience with Semantic Wiki. OpenSym 2016: 21:1-21:8 - 2015
- [j12]Mirko Myllykoski, Roland Glowinski, Tommi Kärkkäinen, Tuomo Rossi:
A New Augmented Lagrangian Approach for L1-mean Curvature Image Denoising. SIAM J. Imaging Sci. 8(1): 95-125 (2015) - [j11]Sukanya Khanom, Anneli Heimbürger, Tommi Kärkkäinen:
Can icons enhance requirements engineering work? J. Vis. Lang. Comput. 28: 147-162 (2015) - [c41]Ville Isomöttönen, Tommi Kärkkäinen:
Open Resources as the Educational Basis for a Bachelor-level Project-Based Course. CSEDU (2) 2015: 46-56 - [c40]Ville Isomöttönen, Tommi Kärkkäinen:
Project-Based Learning Emphasizing Open Resources and Student Ideation: How to Raise Student Awareness of IPR? CSEDU (Selected Papers) 2015: 293-312 - [c39]Mirka Saarela, Tommi Kärkkäinen:
Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data. EDM 2015: 156-153 - [c38]Tommi Kärkkäinen:
Assessment of feature saliency of MLP using analytic sensitivity. ESANN 2015 - [c37]Mirka Saarela, Tommi Kärkkäinen:
Weighted Clustering of Sparse Educational Data. ESANN 2015 - [c36]Pekka Wartiainen, Tommi Kärkkäinen:
Hierarchical, prototype-based clustering of multiple time series with missing values. ESANN 2015 - [c35]Joonas P. Talvitie, Teemu Tukiainen, Lasse Lensu, Tommi J. Kärkkäinen, Pertti Silventoinen, Mikko Kuisma:
Validation of a time-variant electrical equivalent circuit for a dry bacteriorhodopsin sensor. I2MTC 2015: 352-357 - [c34]Joonas P. Talvitie, Teemu Tukiainen, Lasse Lensu, Tommi J. Kärkkäinen, Pertti Silventoinen, Mikko Kuisma:
Amplifier errors in dry bacteriorhodopsin sensor measurements. I2MTC 2015: 1185-1188 - [c33]Tommi Kärkkäinen, Mirka Saarela:
Robust Principal Component Analysis of Data with Missing Values. MLDM 2015: 140-154 - 2014
- [j10]Riku Nykänen, Tommi Kärkkäinen:
Aligning Two Specifications for Controlling Information Security. Int. J. Cyber Warf. Terror. 4(2): 46-62 (2014) - [c32]Mirka Saarela, Tommi Kärkkäinen:
Discovering Gender-Specific Knowledge from Finnish Basic Education using PISA Scale Indices. EDM 2014: 60-67 - [c31]Sukanya Khanom, Anneli Heimbürger, Tommi Kärkkäinen:
Icon Recognition and Usability for Requirements Engineering. EJC 2014: 192-204 - [c30]Pekka Wartiainen, Anneli Heimbürger, Tommi Kärkkäinen:
Context-Sensitive Framework for Visual Analytics in Energy Production from Biomass. EJC 2014: 449-456 - [c29]Tommi Kärkkäinen, Alexandr V. Maslov, Pekka Wartiainen:
Region of interest detection using MLP. ESANN 2014 - [c28]Tommi Kärkkäinen:
On Cross-Validation for MLP Model Evaluation. S+SSPR 2014: 291-300 - [p1]Jussi Rasku, Nysret Musliu, Tommi Kärkkäinen:
Automating the Parameter Selection in VRP: An Off-line Parameter Tuning Tool Comparison. Modeling, Simulation and Optimization for Science and Technology 2014: 191-209 - 2013
- [c27]Sukanya Khanom, Anneli Heimbürger, Tommi Kärkkäinen:
Icon Representations in Supporting Requirements Elicitation Process. EJC 2013: 133-145 - [c26]Joonas P. Talvitie, Tommi J. Kärkkäinen, Jari Koskinen, Manu Niukkanen, Juha-Pekka Ström, Pertti Silventoinen, Mikko Kuisma:
Designing an energy measurement system for an electric vehicle competition - From a student project to a successful race. I2MTC 2013: 528-532 - [c25]Joonas P. Talvitie, Teemu Tukiainen, Lasse Lensu, Tommi J. Kärkkäinen, Pertti Silventoinen, Mikko Kuisma:
Time-variant electrical equivalent circuit of a dry bacteriorhodopsin sensor. I2MTC 2013: 1218-1221 - 2012
- [c24]Pekka Wartiainen, Tommi Kärkkäinen, Anneli Heimbürger, Sami Äyrämö:
Context-Sensitive Approach to Dynamic Visual Analytics of Energy Production Processes. EJC 2012: 15-22 - [c23]Andriy Ivannikov, Mikko Jegoroff, Tommi Kärkkäinen:
Real-Time Mass Flow Estimation in Circulating Fluidized Bed. ICDM 2012: 103-112 - 2011
- [c22]Paavo Nieminen, Tommi Kärkkäinen, Kari Luostarinen, Jukka Muhonen:
Neural Prediction of Product Quality Based on Pilot Paper Machine Process Measurements. ICANNGA (1) 2011: 240-249 - 2010
- [j9]Tuomo Valkonen, Tommi Kärkkäinen:
Clustering and the perturbed spatial median. Math. Comput. Model. 52(1-2): 87-106 (2010) - [c21]Anneli Heimbürger, Yasushi Kiyoki, Tommi Kärkkäinen, Ekaterina Gilman, Kyoung-Sook Kim, Naofumi Yoshida:
On Context Modelling in Systems and Applications Development. EJC 2010: 396-412 - [c20]Ferrante Neri, Ernesto Mininno, Tommi Kärkkäinen:
Noise Analysis Compact Genetic Algorithm. EvoApplications (1) 2010: 602-611 - [c19]Paavo Nieminen, Tommi Kärkkäinen:
Comparison of MLP cost functions to dodge mislabeled training data. IJCNN 2010: 1-7 - [c18]Andriy Ivannikov, Tommi Kärkkäinen, Tapani Ristaniemi, Heikki Lyytinen:
A robust approach to ERP denoising. ISSPA 2010: 492-495
2000 – 2009
- 2009
- [j8]Timo Tuunanen, Jussi Koskinen, Tommi Kärkkäinen:
Automated software license analysis. Autom. Softw. Eng. 16(3-4): 455-490 (2009) - [j7]Mykola Pechenizkiy, Jorn Bakker, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen:
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift. SIGKDD Explor. 11(2): 109-116 (2009) - [c17]Ferrante Neri, Ville Tirronen, Tommi Kärkkäinen:
Enhancing Differential Evolution frameworks by scale factor local search - part II. IEEE Congress on Evolutionary Computation 2009: 118-125 - [c16]Paavo Nieminen, Tommi Kärkkäinen:
Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping. ICANNGA 2009: 32-41 - [c15]Markus Pylvänen, Sami Äyrämö, Tommi Kärkkäinen:
Visualizing Time Series State Changes with Prototype Based Clustering. ICANNGA 2009: 619-628 - [c14]Andriy Ivannikov, Mykola Pechenizkiy, Jorn Bakker, Timo Leino, Mikko Jegoroff, Tommi Kärkkäinen, Sami Äyrämö:
Online Mass Flow Prediction in CFB Boilers. ICDM 2009: 206-219 - [c13]Jorn Bakker, Mykola Pechenizkiy, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen:
Handling outliers and concept drift in online mass flow prediction in CFB boilers. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 13-22 - 2008
- [j6]Ville Tirronen, Ferrante Neri, Tommi Kärkkäinen, Kirsi Majava, Tuomo Rossi:
An Enhanced Memetic Differential Evolution in Filter Design for Defect Detection in Paper Production. Evol. Comput. 16(4): 529-555 (2008) - [j5]Roland Glowinski, Tommi Kärkkäinen, Tuomo Valkonen, Andriy Ivannikov:
Non-smooth SOR for L 1-Fitting: Convergence Study and Discussion of Related Issues. J. Sci. Comput. 37(2): 103-138 (2008) - [c12]Andriy Ivannikov, Tommi Kärkkäinen, Tapani Ristaniemi, Heikki Lyytinen:
Traditional Averaging, Weighted Averaging, and ERPSUB for ERP Denoising in EEG Data - A Comparison of the Convergence Properties. BIOSIGNALS (1) 2008: 195-202 - [c11]Andriy Ivannikov, Tommi Kärkkäinen, Tapani Ristaniemi, Heikki Lyytinen:
Separation of ERP and Noise Subspaces in EEG Data without Whitening. CBMS 2008: 65-69 - [c10]Ville Tirronen, Ferrante Neri, Kirsi Majava, Tommi Kärkkäinen:
The "natura non facit saltus" principle in Memetic computing. IEEE Congress on Evolutionary Computation 2008: 3881-3888 - [c9]Ville Isomöttönen, Tommi Kärkkäinen:
The Value of a Real Customer in a Capstone Project. CSEE&T 2008: 85-92 - 2007
- [j4]Kirsi Majava, Roland Glowinski, Tommi Kärkkäinen:
Solving a non-smooth eigenvalue problem using operator-splitting methods. Int. J. Comput. Math. 84(6): 825-846 (2007) - [c8]Ferrante Neri, Ville Tirronen, Tommi Kärkkäinen, Tuomo Rossi:
Fitness diversity based adaptation in Multimeme Algorithms: A comparative study. IEEE Congress on Evolutionary Computation 2007: 2374-2381 - [c7]Ville Tirronen, Ferrante Neri, Tommi Kärkkäinen, Kirsi Majava, Tuomo Rossi:
A Memetic Differential Evolution in Filter Design for Defect Detection in Paper Production. EvoWorkshops 2007: 320-329 - [c6]Miika Nurminen, Anne Honkaranta, Tommi Kärkkäinen:
ProcMiner: Advancing Process Analysis and Management. ICDE Workshops 2007: 760-769 - [c5]Andriy Ivannikov, Tommi Kärkkäinen, Tapani Ristaniemi, Heikki Lyytinen:
Extraction of ERP from EEG data. ISSPA 2007: 1-4 - [c4]Ville Isomöttönen, Vesa Korhonen, Tommi Kärkkäinen:
Power of Recognition: A Conceptual Framework for Agile Capstone Project in Academic Environment. XP 2007: 145-148 - 2006
- [c3]Timo Tuunanen, Jussi Koskinen, Tommi Kärkkäinen:
ASLA: Reverse Engineering Approach for Software License Information Retrieval. CSMR 2006: 291-294 - [c2]Timo Tuunanen, Jussi Koskinen, Tommi Kärkkäinen:
Retrieving Open Source Software Licenses. OSS 2006: 35-46 - 2005
- [j3]Tommi Kärkkäinen, Karl Kunisch, Kirsi Majava:
Denoising of Smooth Images Using L1-Fitting. Computing 74(4): 353-376 (2005) - [c1]Miika Nurminen, Anne Honkaranta, Tommi Kärkkäinen:
ExtMiner: Combining Multiple Ranking and Clustering Algorithms for Structured Document Retrieval. DEXA Workshops 2005: 1036-1040 - 2004
- [j2]Tommi Kärkkäinen, Erkki Heikkola:
Robust Formulations for Training Multilayer Perceptrons. Neural Comput. 16(4): 837-862 (2004) - 2002
- [j1]Tommi Kärkkäinen:
MLP in Layer-Wise Form with Applications to Weight Decay. Neural Comput. 14(6): 1451-1480 (2002)
Coauthor Index
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