Publications

For a full list of our publications and links to pre-prints, please visit: Google Scholar link

Following is the list of recent publications (since 2019).

Partial Label Learning for Emotion Recognition from EEG
G. Zhang, A. Etemad
IEEE Transactions on Affective Computing, 2025.

Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models
S. Roy, A. Afkanpour, E. Dolatabadi, A. Etemad
Transactions on Machine Learning Research (TMLR), 2025.

Data-Augmented Phrase-Level Alignment for Mitigating Object Hallucination
P. Sarkar, S. Ebrahimi, A. Etemad, A. Beirami, S. O. Arik, T. Pfister
International Conference on Learning Representations (ICLR), 2025.

Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
B. Liskavets, M. Ushakov, S. Roy, M. Klibanov, A. Etemad, S. Luke
AAAI Conference on Artificial Intelligence, 2025.

Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
F. Pourpanah, M. Molahasani, M. Soltany, M. Greenspan, A. Etemad
AAAI Conference on Artificial Intelligence, 2025.

CLARE: Cognitive Load Assessment in REaltime with Multimodal Data
A. Bhatti, P. Angkan, B. Behinaein, Z. Mahmud, D. Rodenburg, H. Braund, P. J. Mclellan, A. Ruberto, G. Harrison, D. Wilson, A. Szulewski, D. Howes, A. Etemad, P. Hungler
IEEE Transactions on Cognitive and Developmental Systems, 2025.

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
A Saeed, D Spathis, J Oh, E Choi, A Etemad
Scientific Reports, 2025.

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
M. Soltany, M. Molahasani, F. Pourpanah, M. Greenspan, A. Etemad
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.

Dynamic Prototype Rehearsal for Continual Learning in ECG Arrhythmia Detection
S. Rahmani, R. Chatterjee, A. Etemad, J. Hashemi
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.

Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
A. Mishra, A. Samin, A. Etemad, J. Hashemi,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.

Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting
H. Damirchi, A. Etemad, M. Greenspan
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

CycleCrash: A Dataset of Bicycle Collision Videos  for Collision Prediction and Analysis
N. Desai, A. Etemad, M. Greenspan
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
S. Grover, A. Jalali, A. Etemad,
Neural Information Processing Systems (NeurIPS), 2024.

Impact of Strategic Sampling and Supervision Policies on Semi-supervised Learning
S. Roy, A. Etemad
IEEE Transactions on Emerging Topics in Computational Intelligence

Leveraging Self Weak-supervision for Improved VLM Performance
S. Roy, A. Etemad
NeurIPS Workshop on Adaptive Foundation Models, 2024.

A Theoretical Framework for Federated Domain Generalization with Gradient Alignment
M. Molahasani, F. Pourpanah, M. Soltany, M. Greenspan, A. Etemad
NeurIPS Workshop on Mathematics of Modern Machine Learning, 2024.

Continual Learning of Foundation Model with Limited Labelled Data
S. Roy, E. Dolatabadi, A. Afkanpour, A. Etemad
NeurIPS Workshop on Scalable Continual Learning for Lifelong Foundation Models, 2024.

SASSL: Enhancing Self-Supervised Learning Via Neural Style Transfer
R. A. Rojas-Gomez, K. Singhal, A. Etemad, A. Bijamov, W. R. Morningstar, P. A. Mansfield
Transactions on Machine Learning Research (TMLR), 2024.

Diffusion Models with Deterministic Normalizing Flow Priors
M. Zand, A. Etemad, M. Greenspan
Transactions on Machine Learning Research (TMLR), 2024.

A Bag of Tricks for Few-Shot Class-Incremental Learning
S. Roy, C.J. Park, A. Fahrezi, A. Etemad
Transactions on Machine Learning Research (TMLR), 2024.

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series
D. Shome, N. Montazeri, A. Etemad
ACM International Conference on Multimodal Interaction (ICMI), 2024.

UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues
V. Davoodnia, S. Ghorbani, M. Carbonneau, A. Messier, A. Etemad
European Conference on Computer Vision (ECCV), 2024.

SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers
V. Davoodnia, S. Ghorbani, A. Messier, A. Etemad
ECCV Workshop on Computer Vision For Videogames, 2024.

Leveraging Neural Style Transfer for Improved Self-supervised Learning
R. A. Rojas-Gomez, K. Singhal, A. Etemad, A. Bijamov, W. R. Morningstar, P. A. Mansfield
ECCV Workshop on Self-Supervised Learning 2024.

Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data
S. Roy, A. Etemad
IEEE Transactions on Affective Computing, 2024.
*Invited paper*

Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey
F. Pourpanah, A. Etemad
ACM Transactions on Computing for Healthcare, 2024.

Learning the Sensing Delay for Personalized Continuous Diabetes Monitoring
S. Biswas, P. Keshavarz Motamed, P. GhavamiNejad, I. Rahmi Ausri, A. Etemad, M. Poudineh
ICLR Workshop on Learning from Time Series For Health, 2024.

Consistency-guided Prompt Learning for Vision-Language Models
S. Roy, A. Etemad
International Conference on Learning Representations (ICLR), 2024.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
M. Ashhad, S. Rahmani, M. Fayiz, A. Etemad, J. Hashemi
International Joint Conference on Neural Networks (IJCNN), 2024.

Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations
D. Shome, A. Etemad
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2024.

AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition
A. Bhatti, B. Behinaein, P. Hungler, A. Etemad
ACM Transactions on Computing for Healthcare, 2024.

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
D. Shome, P. Sarkar, A. Etemad
AAAI Conference on Artificial Intelligence, 2024.

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
S. Roy, A. Etemad
AAAI Conference on Artificial Intelligence, 2024.

XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning
P. Sarkar, A. Etemad
AAAI Conference on Artificial Intelligence, 2024.

Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning
Z. Mahmud, P. Hungler, A. Etemad
IEEE Transactions on Artificial Intelligence, 2024

Generalizing Upper Limb Force Modeling with Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and Conditions
G. Hajian, E. Campbell, M. Ansari, E. Morin, A. Etemad, K. Englehart, E. Scheme
IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2024 

Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines
P. Angkan, B. Behinaein, Z. Mahmud, A. Bhatti, D. Rodenburg, P. Hungler, A. Etemad
IEEE Transactions on Intelligent Transportation Systems, 2023.

Contrastive Learning of View-invariant Representations for Facial Expressions Recognition
S. Roy, A. Etemad
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023.

In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
S. Soltanieh, J. Hashemi, A. Etemad
IEEE Journal on Biomedical and Health Informatics, 2023.

Does Unconstrained Unlabeled Data Help Semi-Supervised Learning?
S. Roy, A. Etemad
NeurIPS Workshop on Self-Supervised Learning: Theory and Practice, 2023.

Learning Through Consistency for Prompt Tuning
S. Roy, A. Etemad.
NeurIPS Workshop on Robustness of Few-shot and Zero-shot Learning in Large Foundation Models, 2023.
*Spotlight paper*

Continual Learning for Long-Tailed Recognition: Bridging the Gap in Theory and Practice
M. Molahasani, A. Etemad, M. Greenspan
NeurIPS Workshop on Mathematics of Modern Machine Learning, 2023.

Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training
D. Gupta, A. Etemad
IEEE Internet of Things Journal, 2023.

Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
P. Sarkar, A. Beirami, A. Etemad
Conference on Neural Information Processing Systems (NeurIPS) , 2023.
*Spotlight paper*

Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space
G. Zhang, A. Etemad
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023.

Toward Fair Facial Expression Recognition with Improved Distribution Alignment
M. Kolahdoozi, A. Etemad
ACM International Conference on Multimodal Interaction (ICMI), 2023.

EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning
D. Pulver, P. Angkan, P. Hungler, A. Etemad
ACM International Conference on Multimodal Interaction (ICMI), 2023.
*Best Paper Award*

Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
S. R. Taghanaki, M. Rainbow, A. Etemad
IEEE Transactions on Human-Machine Systems, 2023.

Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection
S. Das, M. Kolahdouzi, L. Özparlak, W. Hickie, A. Etemad
International Joint Conference on Biometrics (IJCB), 2023.

Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics
M. Zand, A. Etemad, M. Greenspan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

Active Learning with Contrastive Pre-training for Facial Expression Recognition
S. Roy, A. Etemad
International Conference on Affective Computing and Intelligent Interaction (ACII), 2023.

Out of Distribution Continual Pedestrian Detection with Modified Elastic Weight Consolidation
M. Mollahasani, A. Etemad, M. Greenspan
International Conference on Image Processing (ICIP), 2023.

Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer
H. Damirchi, M. Greenspan, A. Etemad
International Conference on Image Processing (ICIP), 2023.

Privacy-Preserving Remote Heart Rate Estimation from Facial Videos
D. Gupta, A. Etemad
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023. 

An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification
F. Pourpanah, A. Etemad C. P. Lim, Q. M. J. Wu
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023.

Distilling EEG Representations via Capsules for Affective Computing
G. Zhang, A. Etemad
Pattern Recognition Letters, 2023.

FabriCar: Enriching User Experience with In-car Media Interactions using E-textiles
P. Khorsandi, L. Jones, V. Davoodnia, T. J. Lampen, A. Conrad, A. Etemad, S. Nabil
ACM Conference on Designing Interactive Systems (DIS), 2023.

A Study on Bias and Fairness In Deep Speaker Recognition
A. Hajavi, A. Etemad
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2023.

Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-temporal Masked Transformers
V. Davoodnia, A. Etemad
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2023.

Temporal Contrastive Learning with Curriculum
S. Roy, A. Etemad
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2023.

Audio Representation Learning by Distilling Video as Privileged Information
A. Hajavi, A. Etemad
IEEE Transactions on Artificial Intelligence, 2023.

AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work
P. Sarkar, J. Posen, A. Etemad
AAAI Conference on Artificial Intelligence, 2023.

Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity
P. Sarkar, A. Etemad
AAAI Conference on Artificial Intelligence, 2023.
*Oral*

Fine-grained Early Frequency Attention for Deep Speaker Representation Learning
A. Hajavi, A. Etemad
IEEE Transactions on Artificial Intelligence, 2023.

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition
G. Zhang, A. Etemad
IEEE Transactions on Affective Computing, 2022.

FaceTopoNet: Facial Expression Recognition using Face Topology Learning
M. Kolahdoozi, A. Sepas-Moghaddam, A. Etemad
IEEE Transactions on Artificial Intelligence, 2022.

ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
M. Zand, A. Etemad, M. Greenspan
European Conference on Computer Vision (ECCV), 2022.
*Oral*

Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
Y. Wu, M. Zand, A. Etemad, M. Greenspan
European Conference on Computer Vision (ECCV), 2022.
*Oral*

Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation
L. Khaleghi, J. Marshall, A. Etemad
International Conference on Pattern Recognition (ICPR), 2022.

Multi-View Video-Based 3D Hand Pose Estimation
L. Khaleghi, A. Sepas-Moghaddam, J. Marshall, A. Etemad
IEEE Transactions on Artificial Intelligence, 2022.

Analysis of Semi-Supervised Methods for Facial Expression Recognition
S. Roy, A. Etemad
Affective Computing and Intelligent Interaction (ACII), 2022.

Multimodal Estimation of End Point Force During Quasi-Dynamic and Dynamic Contractions Using Deep CNN Ensemble
G. Hajian, E. Morin, A. Etemad
IEEE Transactions on Instrumentation and Measurement, 2022.

Analysis of Augmentations for Contrastive ECG Representation Learning
S. Soltanieh, A. Etemad, J. Hashemi
IEEE International Joint Conference on Neural Networks (IJCNN), 2022.

Fine-grained Early Frequency Attention for Deep Speaker Recognition
A. Hajavi, A. Etemad
IEEE International Joint Conference on Neural Networks (IJCNN), 2022.

Towards Personalization of User Preferences in Partially Observable Smart Home Environments
S. Suman, A. Etemad, F. Rivest
IEEE Transactions on Artificial Intelligence, 2022

Bagged Tree Ensemble Modelling with Feature Selection for Isometric EMG-based Force Estimation
G. Hajian, B. Behinaein, A. Etemad, E. Morin
Journal of Biomedical Signal Processing and Control, 2022

Touchless Control of Heavy Equipment using Low-Cost Hand Gesture Recognition
L. Khaleghi, U. Artan, A. Etemad, J. Marshall
IEEE Internet of Things Magazine, 2022.

Deep Gait Recognition: A Survey
A. Sepas-Moghaddam, A. Etemad
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.

Multiscale Crowd Counting and Localization by Multitask Point Supervision
M. Zand, H. Damirchi, A. Farley, M. Molahasani, M. Greenspan, A. Etemad
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.   

Holistic Semi-Supervised Approaches for EEG Representation Learning
G. Zhang, A. Etemad
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.

Pairwise Representation Alignment for Semi-Supervised EEG-based Emotion Recognition
G. Zhang, A. Etemad
AAAI Workshop on Human-Centric Self-Supervised Learning, 2022.

Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning
Z. Mahmud, P. Hungler, A. Etemad
AAAI Workshop on Human-Centric Self-Supervised Learning, 2022.

View-Invariant Compact Contrastive Learning for Facial Expression Recognition
S. Roy, A. Etemad
AAAI Workshop on Human-Centric Self-Supervised Learning, 2022.

Self-supervised Remote Monitoring of Heart Rate from Videos
D. Gupta, A. Etemad
AAAI Workshop on Human-Centric Self-Supervised Learning, 2022.

Face Trees for Expression Recognition
M. Kolahdoozi, A. Sepas-Moghaddam, A. Etemad
IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021.

Detection of Maternal and Fetal Stress from the Electrocardiogram with Self-Supervised Representation Learning
P. Sarkar, S. Lobmaier, B. Fabre, G. Berg, A. Mueller, M. G. Frasch, M. C. Antonelli, A. Etemad
Scientific Reports, 2021.

Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach
S. Suman, A. Etemad, F. Rivest
IEEE Transactions on Artificial Intelligence, 2021.

FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
T. Kourkounakis, A. Hajavi, A. Etemad
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021.

Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving Cars
R. Phinnemore, G. Cimolino, P. Sarkar, A. Etemad, T.C. N. Graham
9th International International Conference on Human-Agent Interaction (HAI), 2021.

Self-supervised Human Activity Recognition by Learning to Forecast Cross-Dimensional Motion
S. R. Taghanaki, A. Etemad
ACM International Symposium on Wearable Computers (ISWC), 2021.

A Transformer Architecture for Emotion Recognition from ECG
B. Behinaein, A. Bhatti, D. Rodenburg, P. Hungler, A. Etemad
ACM International Symposium on Wearable Computers (ISWC), 2021.

Self-supervised Contrastive Learning of Multi-view Facial Expressions
S. Roy, A Etemad
ACM International Conference on Multimodal Interaction (ICMI), 2021.

Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition
H. Uppal, A. Sepas-Moghaddam, M. Greenspan, A. Etemad
IEEE/CVF International Conference on Computer Vision (ICCV), 2021.

Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation
G. Zhang, A. Etemad
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 29, pp. 1138-1149, 2021.

Deep Recurrent Semi-supervised EEG Representation Learning for Emotion Recognition
G. Zhang, A. Etemad
International Conference on Affective Computing and Intelligent Interaction (ACII), 2021.

Spatiotemporal Contrastive Learning of Facial Expressions in Videos
S. Roy, A. Etemad
International Conference on Affective Computing and Intelligent Interaction (ACII), 2021.

Attentive Cross-modal Connections for Deep Multimodal Wearable-based Affective Computing
A. Bhatti, B. Behinaein, D. Rodenburg, P. Hungler, A. Etemad
International Conference on Affective Computing and Intelligent Interaction (ACII) Workshop on Applied Multimodal Affect Recognition, 2021.

Wearable-based Classification of Running Style with Deep Learning
Rahimi, M. Rainbow, A. Etemad
IEEE Wearable and Implantable Body Sensor Networks (BSN), 2021.

Long Short-Term Memory with Gate and State Level Fusion for Light Field-Based Face Recognition
A. Sepas-Moghaddam, A. Etemad, P. L. Correia, F. Pereira
IEEE Transactions on Information Forensic and Security, 2021.

Generalized EMG-based Force Estimation using Convolutional Neural Networks During Isometric Conditions
G. Hajian, A. Etemad, E. Morin
Journal of Biomedical Signal Processing and Control, 2021.

Convolutional Neural Network Approach for Elbow Torque Estimation during Quasi-dynamic and Dynamic Contractions
G. Hajian, E. Morin, A. Etemad
43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021.

End-to-End Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications
A. C. de Araujo, A. Etemad
IEEE Internet of Things Journal, 2021.

Multi-Perspective LSTM for Joint Visual Representation Learning
A. Sepas-Moghaddam, F. Pereira, P. L. Correia, A. Etemad
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Oriented Bounding Boxes for Small and Freely Rotated Objects
M. Zand, A. Etemad, M. Greenspan
IEEE Transactions on Geoscience and Remote Sensing, 2021.

Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators
V. Davoodnia, S. Ghorbani, A. Etemad
Journal of Applied Intelligence, 2021.

CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG
P. Sarkar, A. Etemad
AAAI Conference on Artificial Intelligence (AAAI), 2021.

CapsField: Light Field based Face and Expression Recognition in the Wild using Capsule Routing
A. Sepas-Moghaddam, A. Etemad, P. L. Correia, F. Pereira
IEEE Transactions on Image Processing, 2021.

In-bed Pressure-based Pose Estimation using Image Space Representation Learnin
V. Davoodnia, S. Ghorbani, A. Etemad
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.

Siamese Capsule Network for End-to-End Speaker Recognition in the Wild
A. Hajavi, A. Etemad
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.

Depth as Attention for Face Recognition
H. Uppal, A. Sepas-Moghaddam, M. Greenspan, A. Etemad
IEEE Transactions Information Forensics and Security, 2021.

Potential Impacts of Smart Homes with Reinforcement Learning on Human Behaviour
S. Suman, A. Etemad, F. Rivest
AAAI Workshop on AI for Behavior Change, 2021.

The Future of Simulation Based Medical Education: Adaptive simulation utilizing a deep multitask neural network
A. Ruberto, D. Rodenburg, K. Ross, P. Sarkar, P. Hungler, A. Etemad, D. Howes, D. Clarke, J. McLellan, D. Wilson, A. Szulewski
Journal of AEM Education and Training, 2021.

Unsupervised Multi-Modal Representation Learning for Affective Computing with Multi-Corpus Wearable Data
K. Ross, P. Hungler, A. Etemad
Journal of Ambient Intelligence and Humanized Computing,  2020.

Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
A. Sepas-Moghaddam, S. Ghorbani, N. Troje, A. Etemad
International Conference on Pattern Recognition (ICPR), 2020.

Two-Level Attention-based Fusion Learning for RGB-D Face Recognition
H. Uppal, A. Sepas-Moghaddam, M. Greenspan, A. Etemad
International Conference on Pattern Recognition (ICPR), 2020. 

View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations
A. Sepas-Moghaddam, A. Etemad
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020.

Automated Channel Selection in High-Density sEMG for Improved Force Estimation
G. Hajian, A. Etemad, E. Morin
J. Sensors, Vol. 20, No. 17, pp. 4858, 2020.

Hierarchical Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model
S. Ghorbani, C. Wloka, A. Etemad, M. Brubaker, N. Troje
Journal of Computer Graphics Forum (Special Issue on ACM Symposium on Computer Animation), 2020.

Self-supervised ECG Representation Learning for Emotion Recognition
P. Sarkar, A. Etemad
IEEE Transactions on Affective Computing, 2020.

Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds
V. Davoodnia, M. Slinowsky, A. Etemad
Journal of Ambient Intelligence and Humanized Computing, pp. 1-15, 2020.

Upper Limb Torque Estimation in Quasi Dynamic Contractions Using a Convolutional Neural Network
G. Hajian, E. Morin, A. Etemad
Conference of the International Society of Electrophysiology, 2020.

Method for Sensing of Biometric Data and use Thereof for Bidirectional Communication with Networked Devices
A. Etemad, D. Stone, A. Straka, R. Gupta, A. Javaid, M. Klibanov
US Patent App. 16/734,587.

Facial Emotion Recognition using Light Field Images with Deep Attention-based Bidirectional LSTM
A. Sepas-Moghaddam, A. Etemad, F. Pereira, P. Correia
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.

Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memory
T. Kourkounakis, A. Hajavi, A. Etemad
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.

Self-supervised Learning for ECG-based Emotion Recognition
P. Sarkar, A. Etemad
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.

Systems, Methods and Devices for Activity Recognition
R. Houmanfar, A. Etemad, L. MacEachern, M. Klibanov
U.S. Patent, 10,575,760, 2020.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
G. Zhang, V. Davoodnia, A. Sepas-Moghaddam, Y. Zhang, A. Etemad
IEEE Sensors Journal, Vol. 20, No. 6, pp. 3113-3122, 2020.

Classification of Cognitive Load and Expertise in Adaptive Simulation using Deep Multitask Learning
P. Sarkar, K. Ross, D. Rodenburg, P. Hungler, A. Etemad
Affective Computing and Intelligent Interaction (ACII), pp. 1-7, 2019

A Deep Framework for Facial Emotion Recognition using Light Field Images
A. Sepas-Moghaddam, A. Etemad, P. L. Correia, F. Pereira
Affective Computing and Intelligent Interaction (ACII), pp. 1-7, 2019.

A Deep Neural Network for Short-Segment Speaker Recognition
A. Hajavi, A. Etemad
INTERSPEECH, pp. 2878-2882, 2019.

Identity and Posture Recognition in Smart Beds with Deep Multitask Learning
V. Davoodnia, A. Etemad
IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3054-3059, 2019.

Auto-labelling of Markers in Optical Motion Capture by Permutation Learning
S. Ghorbani, A. Etemad, N. Troje
Computer Graphics International (CGI), [Advances in Computer Graphics, Lecture Notes in Computer Science, vol 11542, pp. 167-178], 2019.
*Best Full Paper Award*

Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise using Wearable Devices
K. Ross, P. Sarkar, D. Rodenburg, A. Ruberto, P. Hungler, D. Howes, A. Szulewski, A. Etemad
Journal of Sensors, 19(19), 4270, 2019.

Deep Neural Networks for Predicting Vehicle Travel Times
A. Cruz de Araujo, S. A. Etemad
IEEE Sensors Conference, pp. 1-4, 2019.

Activity Recognition with Wearable Accelerometers using Deep Convolutional Neural Network and the Effect of Sensor Placement
J. Kulchyk, A. Etemad
IEEE Sensors Conference, pp. 1-4, 2019.

Automatic Initialization and Tracking of Markers in Optical Motion Capture by Learning to Rank
S. Ghorbani, A. Etemad, N. Troje
CVR Vision Conference, 2019.
*Best Poster Award (second place)*

Creating the Perfect Tango: Sensor-based Physiological Monitoring and Analysis for Adaptive Simulation based on Cognitive Load
D. Rodenburg, D. Howes, A. Ruberto, P. Hungler, A. Etemad, A. Szulewski
International Cognitive Load Theory Conference, 2019.

Simulation of Human Balance Impairment on a Biped Robot
A. B. Zreiba, M. Ahmadi, A. Etemad
International Conference of Control, Dynamic Systems, and Robotics, No. 139, 2019.

A Comparison of Measurement Techniques for Resultant Angular Velocities in the Lower Limbs
L. D. Rodgers, J. Selinger, A. Etemad, and M. J. Rainbow
Congress of the International Society of Biomechanics (ISB/ASB), 2019.

An Investigation of Dimensionality Reduction Techniques for EMG-based Force Estimation
G. Hajian, A. Etemad, E. Morin
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 698-701, 2019.

PCA-Based Channel Selection in High-Density EMG for Improving Force Estimation
G. Hajian, A. Etemad, E. Morin
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 652-655, 2019.

Extending a Nonlinear SNR Estimator to Include Shaping Distribution Identification for Probabilistically Shaped 64-QAM Signals
A. S. Kashi, A. I. Abd El-Rahman, J. C. Cartledge, A. Etemad
IEEE Journal of Lightwave Technology, vol. 37, no. 13, pp. 3252-3260, 2019.

EMG-based Force Estimation using Artificial Neural Networks
G. Hajian, E. Morin, A. Etemad
Canadian Medical and Biological Engineering Conference (CMBEC), 2019.

Method for Sensing of Biometric Data and Use Thereof for Determining Emotional State of a User
R. Gupta, A. Etemad, A. Q. Javaid
U.S. Patent, 15/639,570, 2019.

Dermoscopic Evaluation of Skin Frailty
K. Woo, W. Mueller, A. Etemad
Journal of Wound Ostomy & Continence Nursing 46 (6), 547-549

Systems, methods and devices for exercise and activity metric computation
A. Etemad, R. Houmanfar, M. Klibanov, L. MacEachern, K. Firouzi
US Patent 10,327,670.

Computer-Aided Diagnosis using Class-Weighted Deep Neural Networks
P. Sarkar, V. Davoodnia, A. Etemad
IEEE International Conference on Machine Learning and Applications (ICMLA), 2019.