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06/10/2023
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
Limited availability of labeled physiological data often prohibits the u...
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07/29/2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Image restoration under adverse weather conditions has been of significa...
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07/16/2022
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders
There is a growing need for sparse representational formats of human aff...
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05/23/2022
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Memory is a key component of biological neural systems that enables the ...
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04/16/2022
Exploiting Multiple EEG Data Domains with Adversarial Learning
Electroencephalography (EEG) is shown to be a valuable data source for e...
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01/27/2022
Domain-Invariant Representation Learning from EEG with Private Encoders
Deep learning based electroencephalography (EEG) signal processing metho...
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05/01/2021
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks
Feature ranking and selection is a widely used approach in various appli...
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02/17/2021
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks
During daily activities, humans use their hands to grasp surrounding obj...
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02/16/2021
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals
Recent promises of generative deep learning lately brought interest to i...
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09/28/2020
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders
Human computer interaction (HCI) involves a multidisciplinary fusion of ...
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08/26/2020
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction
Recent developments in biosignal processing have enabled users to exploi...
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04/15/2020
Disentangled Adversarial Transfer Learning for Physiological Biosignals
Recent developments in wearable sensors demonstrate promising results fo...
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07/22/2019
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects
Across- and within-recording variabilities in electroencephalographic (E...
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03/28/2019
Information Theoretic Feature Transformation Learning for Brain Interfaces
Objective: A variety of pattern analysis techniques for model training i...
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03/27/2019
Adversarial Deep Learning in EEG Biometrics
Deep learning methods for person identification based on electroencephal...
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12/17/2018
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
We introduce adversarial neural networks for representation learning as ...
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09/15/2018
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals
It has been suggested that changes in physiological arousal precede pote...
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09/15/2018
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces
We present a novel hierarchical graphical model based context-aware hybr...
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11/15/2015
