Enea Ceolini

According to our database, Enea Ceolini authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Common multi-day rhythms in smartphone behavior.

Enea Ceolini, Arko Ghosh

npj Digit. Medicine, 2023

Long-Term Stable Electromyography Classification Using Canonical Correlation Analysis.

Elisa Donati, Simone Benatti, Enea Ceolini, Giacomo Indiveri

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2020

Evaluating Multi-Channel Multi-Device Speech Separation Algorithms in the Wild: A Hardware-Software Solution.

Enea Ceolini, Ilya Kiselev, Shih-Chii Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception.

Enea Ceolini, Jens Hjortkjær, Daniel D. E. Wong, James O'Sullivan, Vinay S. Raghavan, Jose Herrero, Ashesh D. Mehta, Shih-Chii Liu, Nima Mesgarani

NeuroImage, 2020

2019

Gradient-Based Attribution Methods.

Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus H. Gross

Proceedings of the Explainable AI: Interpreting, 2019

Event-Driven Sensing for Efficient Perception: Vision and audition algorithms.

Shih-Chii Liu, Bodo Rueckauer, Enea Ceolini, Adrian E. G. Huber, Tobias Delbrück

IEEE Signal Process. Mag., 2019

Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network.

Enea Ceolini, Shih-Chii Liu

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Attention-driven Multi-sensor Selection.

Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu

Proceedings of the International Joint Conference on Neural Networks, 2019

Audio classification systems using deep neural networks and an event-driven auditory sensor.

Enea Ceolini, Ilya Kiselev, Shih-Chii Liu

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System.

Enea Ceolini, Jithendar Anumula, Stefan Braun, Shih-Chii Liu

Proceedings of the IEEE International Conference on Acoustics, 2019

Sensor fusion using EMG and vision for hand gesture classification in mobile applications.

Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications.

Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing.

Yi Luo, Cong Han, Nima Mesgarani, Enea Ceolini, Shih-Chii Liu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

An event-driven probabilistic model of sound source localization using cochlea spikes.

Jithendar Anumula, Enea Ceolini, Zhe He, Adrian E. G. Huber, Shih-Chii Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Speaker Activity Detection and Minimum Variance Beamforming for Source Separation.

Enea Ceolini, Jithendar Anumula, Adrian E. G. Huber, Ilya Kiselev, Shih-Chii Liu

Proceedings of the Interspeech 2018, 2018

Multi-channel Attention for End-to-End Speech Recognition.

Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu

Proceedings of the Interspeech 2018, 2018

Towards better understanding of gradient-based attribution methods for Deep Neural Networks.

Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross

Proceedings of the 6th International Conference on Learning Representations, 2018

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator.

Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbrück

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

2017

A unified view of gradient-based attribution methods for Deep Neural Networks.

Marco Ancona, Enea Ceolini, A. Cengiz Öztireli, Markus H. Gross

CoRR, 2017

Sensor Transformation Attention Networks.

Stefan Braun, Daniel Neil, Enea Ceolini, Jithendar Anumula, Shih-Chii Liu

CoRR, 2017

WHISPER: Wirelessly Synchronized Distributed Audio Sensor Platform.

Ilya Kiselev, Enea Ceolini, Daniel D. E. Wong, Alain de Cheveigné, Shih-Chii Liu

Proceedings of the 42nd IEEE Conference on Local Computer Networks Workshops, 2017

Impact of low-precision deep regression networks on single-channel source separation.

Enea Ceolini, Shih-Chii Liu

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Temporal sequence recognition in a self-organizing recurrent network.

Enea Ceolini, Daniel Neil, Tobi Delbrück, Shih-Chii Liu

Proceedings of the Second International Conference on Event-based Control, 2016