Transfer learning for brain tumor segmentation J Wacker, M Ladeira, JEV Nascimento International MICCAI Brainlesion Workshop, 241-251, 2020 | 35 | 2020 |
Kernel computations from large-scale random features obtained by optical processing units R Ohana, J Wacker, J Dong, S Marmin, F Krzakala, M Filippone, L Daudet ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 34 | 2020 |
EURECOM@ MediaEval 2017: Media Genre Inference for Predicting Media Interestingnes O Ben-Ahmed, J Wacker, A Gaballo, B Huet the Proceedings of the MediaEval 2017 Workshop, Dublin, Ireland, 2017 | 12* | 2017 |
Improved Random Features for Dot Product Kernels J Wacker, M Kanagawa, M Filippone Journal of Machine Learning Research 25 (235), 1-75, 2024 | 9 | 2024 |
Ambient Search: A Document Retrieval System for Speech Streams B Milde, J Wacker, S Radomski, M Mühlhäuser, C Biemann Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 9 | 2016 |
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel J Wacker, R Ohana, M Filippone International Conference on Artificial Intelligence and Statistics, 5181-5212, 2023 | 6* | 2023 |
Local random feature approximations of the gaussian kernel J Wacker, M Filippone Procedia Computer Science 207, 987-996, 2022 | 6 | 2022 |
Detecting Fake Suppliers using Deep Image Features J Wacker, RP Ferreira, M Ladeira 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 224-229, 2018 | 6 | 2018 |
Random features for dot product kernels and beyond J Wacker Sorbonne université, 2022 | 2 | 2022 |
Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams B Milde, J Wacker, S Radomski, M Mühlhäuser, C Biemann Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 1 | 2016 |