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09/13/2023
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition
Objective: The objective of the study is to efficiently increase the exp...
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07/22/2023
A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter
Plastic waste entering the riverine harms local ecosystems leading to ne...
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07/13/2023
Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection
In a multi-speaker "cocktail party" scenario, a listener can selectively...
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07/03/2022
Pregrasp Object Material Classification by a Novel Gripper Design with Integrated Spectroscopy
Robots benefit from being able to classify objects they interact with or...
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05/12/2022
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are us...
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05/02/2022
Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI
Fetal brain segmentation is an important first step for slice-level moti...
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04/13/2022
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering
In this paper we present a hybrid neural network augmented physics-based...
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12/17/2021
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data
We provide a regularization framework for subject transfer learning in w...
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11/02/2021
Equivariant Deep Dynamical Model for Motion Prediction
Learning representations through deep generative modeling is a powerful ...
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10/12/2021
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models
Modeling biological dynamical systems is challenging due to the interdep...
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10/03/2021
Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules
Fluidic locomotion of flapping Micro Aerial Vehicles (MAVs) can be very ...
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07/26/2021
Circular-Symmetric Correlation Layer based on FFT
Despite the vast success of standard planar convolutional neural network...
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06/16/2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals
Convolutional neural networks (CNN) have been frequently used to extract...
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05/04/2021
On the Sample Complexity of Rank Regression from Pairwise Comparisons
We consider a rank regression setting, in which a dataset of N samples w...
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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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04/26/2021
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
State-of-the-art human-in-the-loop robot grasping is hugely suffered by ...
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04/19/2021
Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion
The electromyography (EMG) signals have been widely utilized in human ro...
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04/17/2021
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing
Autoencoder (AEC) networks have recently emerged as a promising approach...
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04/08/2021
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control
For lower arm amputees, robotic prosthetic hands offer the promise to re...
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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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01/13/2021
NetCut: Real-Time DNN Inference Using Layer Removal
Deep Learning plays a significant role in assisting humans in many aspec...
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01/13/2021
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand
For lower arm amputees, prosthetic hands promise to restore most of phys...
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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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07/30/2020
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry
Systems that are based on recursive Bayesian updates for classification ...
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07/02/2020
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis
Learning data representations that capture task-related features, but ar...
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04/30/2020
Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI
Post-traumatic epilepsy (PTE) is a life-long complication of traumatic b...
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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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04/07/2020
Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence
Recursive Bayesian inference (RBI) provides optimal Bayesian latent vari...
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02/14/2020
Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach
A deep neural network (DNN) that can reliably model muscle responses fro...
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10/02/2019
User-Adaptive Text Entry for Augmentative and Alternative Communication
The viability of an Augmentative and Alternative Communication device of...
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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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01/18/2019
Accelerated Experimental Design for Pairwise Comparisons
Pairwise comparison labels are more informative and less variable than c...
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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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08/05/2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
When generating adversarial examples to attack deep neural networks (DNN...
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05/21/2018
Invariant Representations from Adversarially Censored Autoencoders
We combine conditional variational autoencoders (VAE) with adversarial c...
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03/28/2018
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks
Fully convolutional deep neural networks have been asserted to be fast a...
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03/15/2018
Real-time Deep Registration With Geodesic Loss
With an aim to increase the capture range and accelerate the performance...
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10/25/2017
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
Brain segmentation is a fundamental first step in neuroimage analysis. I...
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06/18/2017
Tversky loss function for image segmentation using 3D fully convolutional deep networks
Fully convolutional deep neural networks carry out excellent potential f...
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03/06/2017
Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
Brain extraction or whole brain segmentation is an important first step ...
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05/27/2016
Asymptotic Analysis of Objectives based on Fisher Information in Active Learning
Obtaining labels can be costly and time-consuming. Active learning allow...
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04/06/2016