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09/14/2023
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation
In this article, we propose an approach for federated domain adaptation,...
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09/14/2023
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning
In this paper, we consider the intersection of two problems in machine l...
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08/22/2023
Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes
Fault diagnosis is an essential component in process supervision. Indeed...
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07/27/2023
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space
This paper seeks to solve Multi-Source Domain Adaptation (MSDA), which a...
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06/28/2023
Recent Advances in Optimal Transport for Machine Learning
Recently, Optimal Transport has been proposed as a probabilistic framewo...
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06/27/2023
An information theoretic necessary condition for perfect reconstruction
This article proposes a new information theoretic necessary condition fo...
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10/05/2022
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features
In brain signal processing, deep learning (DL) models have become common...
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09/08/2022
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
In brain-computer interfaces (BCI) research, recording data is time-cons...
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10/05/2021
Decoding ECoG signal into 3D hand translation using deep learning
Motor brain-computer interfaces (BCIs) are a promising technology that m...
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02/12/2018
On the Needs for Rotations in Hypercubic Quantization Hashing
The aim of this paper is to endow the well-known family of hypercubic qu...
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03/04/2013