Enea Ceolini, PhD
Enea Ceolini, PhD
CODELAB, Cognitive Psychology Unit, Leiden University
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Zitiert von
Zitiert von
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
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
Gradient-based attribution methods
M Ancona, E Ceolini, C Öztireli, M Gross
Explainable AI: Interpreting, explaining and visualizing deep learning, 169-191, 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
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
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
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
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
Multi-channel attention for end-to-end speech recognition
S Braun, D Neil, J Anumula, E Ceolini, SC Liu
ISCA, 2018
Towards better understanding of gradient-based attribution methods for deep neural networks. arXiv 2017
M Ancona, E Ceolini, C Öztireli, M Gross
arXiv preprint arXiv:1711.06104, 0
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
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
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
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
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
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
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
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
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
Sensor transformation attention network (STAN) model
S Braun, D Neil, E Ceolini, J Anumula, SC Liu
US Patent 11,501,154, 2022
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