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ORCIDEnea Ceolini
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2020 – today
- 2023
[j4]Enea Ceolini
, Arko Ghosh:
Common multi-day rhythms in smartphone behavior. npj Digit. Medicine 6 (2023)- [c16]Elisa Donati, Simone Benatti, Enea Ceolini, Giacomo Indiveri:
Long-Term Stable Electromyography Classification Using Canonical Correlation Analysis. NER 2023: 1-4 - [i5]Elisa Donati, Simone Benatti, Enea Ceolini, Giacomo Indiveri:
Long-term stable Electromyography classification using Canonical Correlation Analysis. CoRR abs/2301.09729 (2023) - 2020
- [j3]Enea Ceolini, Jens Hjortkjær, Daniel D. E. Wong, James O'Sullivan, Vinay S. Raghavan, Jose Herrero, Ashesh D. Mehta, Shih-Chii Liu, Nima Mesgarani:
Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception. NeuroImage 223: 117282 (2020) - [j2]Enea Ceolini, Ilya Kiselev, Shih-Chii Liu:
Evaluating Multi-Channel Multi-Device Speech Separation Algorithms in the Wild: A Hardware-Software Solution. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1428-1439 (2020)
2010 – 2019
- 2019
- [j1]Shih-Chii Liu, Bodo Rueckauer, Enea Ceolini, Adrian E. G. Huber, Tobias Delbrück:
Event-Driven Sensing for Efficient Perception: Vision and audition algorithms. IEEE Signal Process. Mag. 36(6): 29-37 (2019) - [c15]Yi Luo, Cong Han, Nima Mesgarani, Enea Ceolini, Shih-Chii Liu:
FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing. ASRU 2019: 260-267 - [c14]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications. BioCAS 2019: 1 - [c13]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Sensor fusion using EMG and vision for hand gesture classification in mobile applications. BioCAS 2019: 1-4 - [c12]Enea Ceolini, Jithendar Anumula, Stefan Braun, Shih-Chii Liu:
Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System. ICASSP 2019: 7953-7957 - [c11]Enea Ceolini, Ilya Kiselev, Shih-Chii Liu:
Audio classification systems using deep neural networks and an event-driven auditory sensor. IEEE SENSORS 2019: 1-4 - [c10]Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu:
Attention-driven Multi-sensor Selection. IJCNN 2019: 1-8 - [c9]Enea Ceolini, Shih-Chii Liu:
Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network. MLSP 2019: 1-6 - [p1]Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus H. Gross:
Gradient-Based Attribution Methods. Explainable AI 2019: 169-191 - [i4]Yi Luo, Enea Ceolini, Cong Han, Shih-Chii Liu, Nima Mesgarani:
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing. CoRR abs/1909.13387 (2019) - [i3]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Sensor fusion using EMG and vision for hand gesture classification in mobile applications. CoRR abs/1910.11126 (2019) - 2018
- [c8]Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbrück:
DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator. FPGA 2018: 21-30 - [c7]Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross:
Towards better understanding of gradient-based attribution methods for Deep Neural Networks. ICLR (Poster) 2018 - [c6]Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu:
Multi-channel Attention for End-to-End Speech Recognition. INTERSPEECH 2018: 17-21 - [c5]Enea Ceolini, Jithendar Anumula, Adrian E. G. Huber, Ilya Kiselev, Shih-Chii Liu:
Speaker Activity Detection and Minimum Variance Beamforming for Source Separation. INTERSPEECH 2018: 836-840 - [c4]Jithendar Anumula, Enea Ceolini, Zhe He, Adrian E. G. Huber, Shih-Chii Liu:
An event-driven probabilistic model of sound source localization using cochlea spikes. ISCAS 2018: 1-5 - 2017
- [c3]Enea Ceolini, Shih-Chii Liu:
Impact of low-precision deep regression networks on single-channel source separation. ICASSP 2017: 256-260 - [c2]Ilya Kiselev, Enea Ceolini, Daniel D. E. Wong, Alain de Cheveigné, Shih-Chii Liu:
WHISPER: Wirelessly Synchronized Distributed Audio Sensor Platform. LCN Workshops 2017: 35-43 - [i2]Stefan Braun, Daniel Neil, Enea Ceolini, Jithendar Anumula, Shih-Chii Liu:
Sensor Transformation Attention Networks. CoRR abs/1708.01015 (2017) - [i1]Marco Ancona, Enea Ceolini, A. Cengiz Öztireli, Markus H. Gross:
A unified view of gradient-based attribution methods for Deep Neural Networks. CoRR abs/1711.06104 (2017) - 2016
- [c1]Enea Ceolini, Daniel Neil, Tobi Delbrück, Shih-Chii Liu:
Temporal sequence recognition in a self-organizing recurrent network. EBCCSP 2016: 1-4
Coauthor Index
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