| Towards better understanding of gradient-based attribution methods for deep neural networks M Ancona, E Ceolini, C Öztireli, M Gross arXiv preprint arXiv:1711.06104, 2017 | 1302 | 2017 |
| Gradient-based attribution methods M Ancona, E Ceolini, C Öztireli, M Gross Explainable AI: Interpreting, explaining and visualizing deep learning, 169-191, 2019 | 195 | 2019 |
| Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing E Ceolini, C Frenkel, SB Shrestha, G Taverni, L Khacef, M Payvand, ... Frontiers in neuroscience 14, 637, 2020 | 190 | 2020 |
| DeltaRNN: A power-efficient recurrent neural network accelerator C Gao, D Neil, E Ceolini, SC Liu, T Delbruck Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 189 | 2018 |
| FaSNet: Low-latency adaptive beamforming for multi-microphone audio processing Y Luo, C Han, N Mesgarani, E Ceolini, SC Liu 2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019 | 180 | 2019 |
| A comparison of regularization methods in forward and backward models for auditory attention decoding DDE Wong, SA Fuglsang, J Hjortkjær, E Ceolini, M Slaney, ... Frontiers in neuroscience 12, 531, 2018 | 160* | 2018 |
| Event-driven sensing for efficient perception: Vision and audition algorithms SC Liu, B Rueckauer, E Ceolini, A Huber, T Delbruck IEEE Signal Processing Magazine 36 (6), 29-37, 2019 | 81 | 2019 |
| Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception E Ceolini, J Hjortkjær, DDE Wong, J O’Sullivan, VS Raghavan, J Herrero, ... NeuroImage 223, 117282, 2020 | 77 | 2020 |
| Multi-channel attention for end-to-end speech recognition S Braun, D Neil, J Anumula, E Ceolini, SC Liu ISCA, 2018 | 33 | 2018 |
| An event-driven probabilistic model of sound source localization using cochlea spikes J Anumula, E Ceolini, Z He, A Huber, SC Liu 2018 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2018 | 23 | 2018 |
| Sensor fusion using EMG and vision for hand gesture classification in mobile applications E Ceolini, G Taverni, L Khacef, M Payvand, E Donati 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019 | 22 | 2019 |
| Event-driven pipeline for low-latency low-compute keyword spotting and speaker verification system E Ceolini, J Anumula, S Braun, SC Liu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 19 | 2019 |
| Combining deep neural networks and beamforming for real-time multi-channel speech enhancement using a wireless acoustic sensor network E Ceolini, SC Liu 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 15 | 2019 |
| Evaluating multi-channel multi-device speech separation algorithms in the wild: a hardware-software solution E Ceolini, I Kiselev, SC Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1428-1439, 2020 | 14 | 2020 |
| WHISPER: Wirelessly synchronized distributed audio sensor platform I Kiselev, E Ceolini, D Wong, A De Cheveigne, SC Liu 2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN …, 2017 | 14 | 2017 |
| Artificial neural network trained on smartphone behavior can trace epileptiform activity in epilepsy RB Duckrow, E Ceolini, HP Zaveri, C Brooks, A Ghosh IScience 24 (6), 2021 | 13 | 2021 |
| Temporal clusters of age-related behavioral alterations captured in smartphone touchscreen interactions E Ceolini, R Kock, GPH Band, G Stoet, A Ghosh Iscience 25 (8), 2022 | 10 | 2022 |
| Attention-driven multi-sensor selection S Braun, D Neil, J Anumula, E Ceolini, SC Liu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 9 | 2019 |
| Common multi-day rhythms in smartphone behavior E Ceolini, A Ghosh NPJ Digital Medicine 6 (1), 49, 2023 | 8 | 2023 |
| Long-term stable electromyography classification using canonical correlation analysis E Donati, S Benatti, E Ceolini, G Indiveri 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 1-4, 2023 | 7 | 2023 |
Shih-Chii LiuInstitute of Neuroinformatics, University of Zurich & ETH Zurichبريد إلكتروني تم التحقق منه على ini.phys.ethz.ch
