Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance - João P. B. Pereira; Erik S. G. Stroes; Aeilko H. Zwinderman; Evgeni Levin (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

Interpretable Models via Pairwise Permutations Algorithm - Troy Maasland; João Pereira; Diogo Bastos; Marcus de Goffau; Max Nieuwdorp; Aeilko H. Zwinderman; Evgeni Levin (Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I, 2021)

Interpretable Models via Pairwise permutations algorithm - Troy Maasland; João Pereira; Diogo Bastos; Marcus de Goffau; Max Nieuwdorp; Aeilko H. Zwinderman; Evgeni Levin (CoRR, 2021)

Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance - João P. B. Pereira; Erik S. G. Stroes; Aeilko H. Zwinderman; Evgeni Levin (CoRR, 2021)

Graph Space Embedding - João P. B. Pereira; Albert K. Groen; Erik S. G. Stroes; Evgeni Levin (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Manifold Mixing for Stacked Regularization - João P. B. Pereira; Erik S. G. Stroes; Albert K. Groen; Aeilko H. Zwinderman; Evgeni Levin (Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I, 2019)

Graph Space Embedding - João P. B. Pereira; Albert K. Groen; Erik S. G. Stroes; Evgeni Levin (CoRR, 2019)

Unsupervised Multi-View Feature Selection for Tumor Subtype Identification - Sultan Imangaliyev; Evgeni Levin (Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2017, Boston, MA, USA, August 20-23, 2017, 2017)

Discovery of Salivary Gland Tumors' Biomarkers via Co-Regularized Sparse-Group Lasso - Sultan Imangaliyev; Johannes H. Matse; Jan G. M. Bolscher; Ruud H. Brakenhoff; David T. W. Wong; Elisabeth Bloemena; Enno C. I. Veerman; Evgeni Levin (Discovery Science - 20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings, 2017)

Classification of Quantitative Light-Induced Fluorescence Images Using Convolutional Neural Network - Sultan Imangaliyev; Monique H. van der Veen; Catherine M. C. Volgenant; Bruno G. Loos; Bart J. F. Keijser; Wim Crielaard; Evgeni Levin (CoRR, 2017)

Feature Selection via Co-regularized Sparse-Group Lasso - Paula L. Amaral Santos; Sultan Imangaliyev; Klamer Schutte; Evgeni Levin (Machine Learning, Optimization, and Big Data - Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers, 2016)

Deep Learning for Classification of Dental Plaque Images - Sultan Imangaliyev; Monique H. van der Veen; Catherine M. C. Volgenant; Bart J. F. Keijser; Wim Crielaard; Evgeni Levin (Machine Learning, Optimization, and Big Data - Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers, 2016)

KeCo: Kernel-Based Online Co-agreement Algorithm - Laurens Wiel; Tom Heskes; Evgeni Levin (Discovery Science - 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings, 2015)