| Ensembling End-to-End Deep Models for Computational Paralinguistics Tasks: ComParE 2020 Mask and Breathing Sub-Challenges. M Markitantov, D Dresvyanskiy, D Mamontov, H Kaya, W Minker, ... INTERSPEECH, 2072-2076, 2020 | 39 | 2020 |
| Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics H Kaya, D Fedotov, D Dresvyanskiy, M Doyran, D Mamontov, ... Proceedings of the 9th International on Audio/Visual Emotion Challenge and …, 2019 | 35 | 2019 |
| Evolutionary algorithms for the design of neural network classifiers for the classification of pain intensity D Mamontov, I Polonskaia, A Skorokhod, E Semenkin, V Kessler, ... Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2019 | 13 | 2019 |
| Ensemble-Within-Ensemble Classification for Escalation Prediction from Speech. O Verkholyak, D Dresvyanskiy, A Dvoynikova, D Kotov, E Ryumina, ... Interspeech, 481-485, 2021 | 4 | 2021 |
| Self-Configuring Genetic Programming Feature Generation in Affect Recognition Tasks D Mamontov, W Minker, A Karpov International Conference on Speech and Computer, 464-476, 2022 | | 2022 |
| Institute of Communications Engineering Staff R Fischer, W Minker, M Bossert, UC Fiebig, HP Großmann, J Lindner, ... Bulletin of Siberian State Aerospace University 17 (1), 84-90, 2016 | | 2016 |
| COMPARISON OF DATA MINING TECHNIQUES PERFORMANCE IN CLASSIFICATION OF STEEL PLATES DEFECTS DY Mamontov, ES Semenkin, OV Maslova Ìîëîäåæü. Îáùåñòâî. Ñîâðåìåííàÿ íàóêà, òåõíèêà è èííîâàöèè, 43-45, 2015 | | 2015 |
