| 2026 | SAC | Artificial Intelligence Competence of K-12 Students Shapes Their AI Risk Perception: A Co-occurrence Network Analysis. | Ville Heilala, Pieta Sikstrm, Mika Setl, Tommi Krkkinen |
| 2025 | CBMS | Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification. | Qiao Chen, Hongming Xu, Xinyu Hao, Qibin Zhang, Huamin Qin, Tommi Krkkinen, Fengyu Cong |
| 2025 | SAC | The Use of Generative Artificial Intelligence for Upper Secondary Mathematics Education Through the Lens of Technology Acceptance. | Mika Setl, Ville Heilala, Pieta Sikstrm, Tommi Krkkinen |
| 2024 | CHIRA | Strategies and Tools to Support Place-Belongingness in Smart Cities. | Hesam Mohseni, Antnio Correia, Johanna M. Silvennoinen, Tuomo Kujala, Tommi Krkkinen |
| 2024 | EDM | Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet Countries. | Ayaz Karimov, Mirka Saarela, Tommi Krkkinen |
| 2024 | EDM | Principals' use of data analytics in Finnish schools. | Ayaz Karimov, Mirka Saarela, Tommi Krkkinen, Sabina Aghayeva |
| 2024 | SAC | Toward Scalable and Transparent Multimodal Analytics to Study Standard Medical Procedures: Linking Hand Movement, Proximity, and Gaze Data. | Ville Heilala, Sami Lehesvuori, Raija Hmlinen, Tommi Krkkinen |
| 2023 | EDM | Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning. | Ayaz Karimov, Mirka Saarela, Tommi Krkkinen |
| 2023 | EDM | The impact of online educational platform on students' motivation and grades: the case of Khan Academy in the under-resourced communities. | Ayaz Karimov, Mirka Saarela, Tommi Krkkinen |
| 2023 | ESANN | Feature Selection for Multi-label Classification with Minimal Learning Machine. | Joakim Linja, Joonas Hmlinen, Tommi Krkkinen |
| 2023 | HIS | A Pipeline for AI-Based Quantitative Studies of Science Enhanced by Crowdsourced Inferential Modelling. | Antnio Correia, Tommi Krkkinen, Shoaib Jameel, Daniel Schneider, Pedro Antunes, Benjamim Fonseca, Andrea Grover |
| 2023 | ICLR | More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. | Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Krkkinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang |
| 2021 | ESANN | Instance-Based Multi-Label Classification via Multi-Target Distance Regression. | Joonas Hmlinen, Paavo Nieminen, Tommi Krkkinen |
| 2021 | ESANN | Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces. | Antti Pihlajamki, Joakim Linja, Joonas Hmlinen, Paavo Nieminen, Sami Malola, Tommi Krkkinen, Hannu Hkkinen |
| 2020 | ESANN | Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression. | Joonas Hmlinen, Tommi Krkkinen |
| 2020 | FIE | Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics. | Ville Heilala, Mirka Saarela, Pivikki Jskel, Tommi Krkkinen |
| 2019 | ESANN | Sparse minimal learning machine using a diversity measure minimization. | Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Csar L. C. Mattos, Joo P. P. Gomes, Tommi Krkkinen |
| 2019 | ESANN | Hybrid vibration signal monitoring approach for rolling element bearings. | Jarno Kansanaho, Tommi Krkkinen |
| 2019 | ESANN | Model selection for Extreme Minimal Learning Machine using sampling. | Tommi Krkkinen |
| 2019 | ESANN | Feature and Algorithm Selection for Capacitated Vehicle Routing Problems. | Jussi Rasku, Nysret Musliu, Tommi Krkkinen |
| 2019 | IWANN | OnMLM: An Online Formulation for the Minimal Learning Machine. | Alan L. S. Matias, Csar L. C. Mattos, Tommi Krkkinen, Joo P. P. Gomes, Ajalmar R. da Rocha Neto |
| 2018 | ESANN | Scalable robust clustering method for large and sparse data. | Joonas Hmlinen, Tommi Krkkinen, Tuomo Rossi |
| 2018 | ESANN | Extreme Minimal Learning Machine. | Tommi Krkkinen |
| 2018 | ESANN | Comparison of cluster validation indices with missing data. | Marko Niemel, Sami yrm, Tommi Krkkinen |
| 2017 | CSEDU | Supporting Institutional Awareness and Academic Advising using Clustered Study Profiles. | Mariia Gavriushenko, Mirka Saarela, Tommi Krkkinen |
| 2017 | CSEDU | Habituating Students to IPR Questions During Creative Project Work. | Ville Isomttnen, Tommi Krkkinen |
| 2017 | ESANN | A Robust Minimal Learning Machine based on the M-Estimator. | Joo P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Jnior, Tommi Krkkinen |
| 2017 | ESANN | A Simple Cluster Validation Index with Maximal Coverage. | Susanne Jauhiainen, Tommi Krkkinen |
| 2017 | IJCNN | BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. | Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Krkkinen, Jaakko Hollmn |
| 2017 | PAKDD | Feature Ranking of Large, Robust, and Weighted Clustering Result. | Mirka Saarela, Joonas Hmlinen, Tommi Krkkinen |
| 2016 | ESANN | Initialization of big data clustering using distributionally balanced folding. | Joonas Hmlinen, Tommi Krkkinen |
| 2016 | ESANN | Comparison of Four- and Six-Layered Configurations for Deep Network Pretraining. | Tommi Krkkinen, Jan Hnninen |
| 2016 | ESANN | Multicriteria optimized MLP for imbalanced learning. | Paavo Nieminen, Tommi Krkkinen |
| 2016 | SAC | DOBRO: a prediction error correcting robot under drifts. | Alexandr V. Maslov, Hoang Thanh Lam, Mykola Pechenizkiy, Eric Bouillet, Tommi Krkkinen |
| 2016 | SDM | Modelling Recurrent Events for Improving Online Change Detection. | Alexandr V. Maslov, Mykola Pechenizkiy, Indre Zliobaite, Tommi Krkkinen |
| 2015 | CSEDU | Open Resources as the Educational Basis for a Bachelor-level Project-Based Course. | Ville Isomttnen, Tommi Krkkinen |
| 2015 | CSEDU | Project-Based Learning Emphasizing Open Resources and Student Ideation: How to Raise Student Awareness of IPR? | Ville Isomttnen, Tommi Krkkinen |
| 2015 | EDM | Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data. | Mirka Saarela, Tommi Krkkinen |
| 2015 | ESANN | Assessment of feature saliency of MLP using analytic sensitivity. | Tommi Krkkinen |
| 2015 | ESANN | Weighted Clustering of Sparse Educational Data. | Mirka Saarela, Tommi Krkkinen |
| 2015 | ESANN | Hierarchical, prototype-based clustering of multiple time series with missing values. | Pekka Wartiainen, Tommi Krkkinen |
| 2014 | EDM | Discovering Gender-Specific Knowledge from Finnish Basic Education using PISA Scale Indices. | Mirka Saarela, Tommi Krkkinen |
| 2014 | EJC | Icon Recognition and Usability for Requirements Engineering. | Sukanya Khanom, Anneli Heimbrger, Tommi Krkkinen |
| 2014 | EJC | Context-Sensitive Framework for Visual Analytics in Energy Production from Biomass. | Pekka Wartiainen, Anneli Heimbrger, Tommi Krkkinen |
| 2014 | ESANN | Region of interest detection using MLP. | Tommi Krkkinen, Alexandr V. Maslov, Pekka Wartiainen |
| 2014 | SSPR | On Cross-Validation for MLP Model Evaluation. | Tommi Krkkinen |
| 2013 | EJC | Icon Representations in Supporting Requirements Elicitation Process. | Sukanya Khanom, Anneli Heimbrger, Tommi Krkkinen |
| 2012 | EJC | Context-Sensitive Approach to Dynamic Visual Analytics of Energy Production Processes. | Pekka Wartiainen, Tommi Krkkinen, Anneli Heimbrger, Sami yrm |
| 2010 | EJC | On Context Modelling in Systems and Applications Development. | Anneli Heimbrger, Yasushi Kiyoki, Tommi Krkkinen, Ekaterina Gilman, Kyoung-Sook Kim, Naofumi Yoshida |
| 2010 | IJCNN | Comparison of MLP cost functions to dodge mislabeled training data. | Paavo Nieminen, Tommi Krkkinen |
| 2009 | CEC | Enhancing Differential Evolution frameworks by scale factor local search - part II. | Ferrante Neri, Ville Tirronen, Tommi Krkkinen |
| 2009 | KDD | Handling outliers and concept drift in online mass flow prediction in CFB boilers. | Jorn Bakker, Mykola Pechenizkiy, Indre Zliobaite, Andriy Ivannikov, Tommi Krkkinen |
| 2008 | CBMS | Separation of ERP and Noise Subspaces in EEG Data without Whitening. | Andriy Ivannikov, Tommi Krkkinen, Tapani Ristaniemi, Heikki Lyytinen |
| 2008 | CEC | The "natura non facit saltus" principle in Memetic computing. | Ville Tirronen, Ferrante Neri, Kirsi Majava, Tommi Krkkinen |
| 2007 | CEC | Fitness diversity based adaptation in Multimeme Algorithms: A comparative study. | Ferrante Neri, Ville Tirronen, Tommi Krkkinen, Tuomo Rossi |
| 2007 | ICDE | ProcMiner: Advancing Process Analysis and Management. | Miika Nurminen, Anne Honkaranta, Tommi Krkkinen |