Ville Hautamäki
Associate Professor
Senior researcher at the computer science department. Focusing on data science, with specializati...
School of Computing, Faculty of Science, Forestry and Technology
Senior researcher at the computer science department. Focusing on data science, with specialization in statistical inference and deep learning. At the moment, I teach regularly following courses, Probabilistic inference for data science, Bayes-inference and annual summer school on machine learning. My current application areas are autonomous agents, bioinformatics and speech technology.
Research groups
Publications
98/98 items-
Personalized Nutrition Recommendations Using a Bayesian Mixture Model of Concentration Constraints and Intake Preferences
Turkia, Jari; Schwab, Ursula; Hautamäki, Ville, 2026, Statistics in medicine, 45, 6-7, e70427. A1 Journal article (refereed), original research -
Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence
Ahadzi, Edem; Pratap Singh, Vishwanath; Kinnunen, Tomi; Hautamaki, Ville, 2025, 2880-2884. A4 Conference proceedings -
Improving Numerical Stability of Normalized Mutual Information Estimator on High Dimensions
Tuononen, Marko; Hautamäki, Ville, 2025, IEEE signal processing letters, 32, 2783-2787. A1 Journal article (refereed), original research -
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Tuononen, Marko; Korpi, Dani; Hautamäki, Ville, 2025, Babu, R Venkatesh; Selvi, Sethu, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1-5. A4 Conference proceedings -
Mixture of Low-Rank Adapter Experts in Generalizable Audio Deepfake Detection
Laakkonen, Janne; Kukanov, Ivan; Hautamäki, Ville, 2025, Proceedings of 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2211-2216, Asia-pacific signal and information processing association annual summit and conference. A4 Conference proceedings -
On the Importance of Representation in Imitating Human-Like Gameplay
Tanskanen, Ville; Klami, Arto; Hautamäki, Ville, 2025, Brito, Joana, Proceedings of the 2025 IEEE Conference on Games (CoG 2025), 1-8. A4 Conference proceedings -
Gradient Weighting for Speaker Verification in Extremely Low Signal-to-Noise Ratio
Ma, Yi; Lee, Kong Aik; Hautamäki, Ville; Ge, Meng; Li, Haizhou, 2024, Yu, Hajin; Park, Jeongsik, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings, 11311-11315. A4 Conference proceedings -
Inferring personal intake recommendations of phosphorous and potassium for end-stage renal failure patients by simulating with Bayesian hierarchical multivariate model
Turkia, Jari; Schwab, Ursula; Hautamäki, Ville, 2024, PLoS ONE, 19, 2, e0291153. A1 Journal article (refereed), original research -
Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes
Kukanov, Ivan; Laakkonen, Janne; Kinnunen, Tomi; Hautamäki, Ville, 2024, Proceedings of 2024 IEEE Spoken Language Technology Workshop, 1173-1178. A4 Conference proceedings -
Online Adaptation for Enhancing Imitation Learning Policies
Malato, Federico; Hautamäki, Ville, 2024, Jiwatode, Mohit, Proceedings of the 2024 IEEE Conference on Games (CoG), 1-8. A4 Conference proceedings
