Deep learning for computational biology C Angermueller, T Pärnamaa, L Parts, O Stegle Molecular systems biology 12 (7), 878, 2016 | 1505 | 2016 |
Accurate classification of protein subcellular localization from high-throughput microscopy images using deep learning T Pärnamaa, L Parts G3: Genes, Genomes, Genetics 7 (5), 1385-1392, 2017 | 164 | 2017 |
A neural knowledge language model S Ahn, H Choi, T Pärnamaa, Y Bengio arXiv preprint arXiv:1608.00318, 2016 | 150 | 2016 |
ICASSP 2021 acoustic echo cancellation challenge: Datasets, testing framework, and results K Sridhar, R Cutler, A Saabas, T Parnamaa, M Loide, H Gamper, S Braun, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 89 | 2021 |
ICASSP 2022 acoustic echo cancellation challenge R Cutler, A Saabas, T Parnamaa, M Purin, H Gamper, S Braun, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 67 | 2022 |
INTERSPEECH 2021 Acoustic Echo Cancellation Challenge. R Cutler, A Saabas, T Pärnamaa, M Loide, S Sootla, M Purin, H Gamper, ... Interspeech, 4748-4752, 2021 | 48 | 2021 |
Deep model with built-in self-attention alignment for acoustic echo cancellation E Indenbom, NC Ristea, A Saabas, T Pärnamaa, J Gužvin arXiv preprint arXiv:2208.11308, 2022 | 6 | 2022 |
DeepVQE: Real Time Deep Voice Quality Enhancement for Joint Acoustic Echo Cancellation, Noise Suppression and Dereverberation E Indenbom, NC Ristea, A Saabas, T Parnamaa, J Guzvin, R Cutler arXiv preprint arXiv:2306.03177, 2023 | 5 | 2023 |
Real-Time Joint Personalized Speech Enhancement and Acoustic Echo Cancellation with E3Net SE Eskimez, T Yoshioka, A Ju, M Tang, T Parnamaa, H Wang arXiv preprint arXiv:2211.02773, 2022 | 4 | 2022 |
Method, system and device for analyzing pedestrian motion patterns R Ferenets, T Pärnamaa, S Sootla, T Saar, A Heinla US Patent App. 17/798,600, 2023 | 2 | 2023 |
Piltide automaatne kirjeldamine eesti keeles–visuaalse ja semantilise ühisesituse õppimine neurovõrkudega.[Translating pictures to Estonian–learning shared representations of … T Pärnamaa Magistritöö. Käsikiri Tartu ülikooli matemaatilise statistika instituudis …, 2015 | 1 | 2015 |
Method and system for analyzing robot surroundings K Korjus, S Kharagorgiiev, A Heinla, T Pärnamaa US Patent App. 17/057,086, 2021 | | 2021 |
Segumudeli õppimine osaliselt sildistatud andmetest T Pärnamaa Tartu Ülikool, 2013 | | 2013 |