TED: A texture-edge descriptor for pedestrian detection in video sequences. - Narges Armanfard; Majid Komeili; Ehsanollah Kabir (Pattern Recognit., 2012)

Feature selection from multisession electrocardiogram signals for identity verification. - Majid Komeili; Narges Armanfard; Dimitrios Hatzinakos; Anastasios N. Venetsanopoulos (CCECE, 2015)

Vigilance lapse identification using sparse EEG electrode arrays. - Narges Armanfard; Majid Komeili; James P. Reilly; Lou Pino (CCECE, 2016)

Predicting the depth of anaesthesia with 40-Hz ASSR. - Sahar Javaher Haghighi; Majid Komeili; Dimitrios Hatzinakos (CCECE, 2016)

On evaluating human recognition using electrocardiogram signals: From rest to exercise. - Majid Komeili; Wael Louis; Narges Armanfard; Dimitrios Hatzinakos (CCECE, 2016)

Real-time heartbeat outlier removal in electrocardiogram (ECG) biometrie system. - Wael Louis; Majid Komeili; Dimitrios Hatzinakos (CCECE, 2016)

Automatic and continuous assessment of ERPs for mismatch negativity detection. - Narges Armanfard; Majid Komeili; James P. Reilly; Richard Mah; John F. Connolly (EMBC, 2016)

Local Feature Selection for Data Classification. - Narges Armanfard; James P. Reilly; Majid Komeili (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Continuous Authentication Using One-Dimensional Multi-Resolution Local Binary Patterns (1DMRLBP) in ECG Biometrics. - Wael Louis; Majid Komeili; Dimitrios Hatzinakos (IEEE Trans. Inf. Forensics Secur., 2016)

Development of a Smart Home-Based Package for Unobtrusive Physiological Monitoring. - Narges Armanfard; Majid Komeili; Alex Mihailidis (EMBC, 2018)

Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics. - Majid Komeili; Wael Louis; Narges Armanfard; Dimitrios Hatzinakos (IEEE Trans. Cybern., 2018)

Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint. - Majid Komeili; Narges Armanfard; Dimitrios Hatzinakos (IEEE Trans. Inf. Forensics Secur., 2018)

40-Hz ASSR for Measuring Depth of Anaesthesia During Induction Phase. - Sahar Javaher Haghighi; Majid Komeili; Dimitrios Hatzinakos; Hossam El Beheiry (IEEE J. Biomed. Health Informatics, 2018)

Logistic Localized Modeling of the Sample Space for Feature Selection and Classification. - Narges Armanfard; James P. Reilly; Majid Komeili (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction. - Narges Armanfard; Majid Komeili; James P. Reilly; John F. Connolly (IEEE J. Biomed. Health Informatics, 2019)

Multi-Scale Deep Nearest Neighbors. - Abhijeet Chauhan; Omid Davoudi; Majid Komeili (IJCNN, 2021)

Feature-Based Interpretable Reinforcement Learning based on State-Transition Models. - Omid Davoodi; Majid Komeili (SMC, 2021)

Cause and Effect: Concept-based Explanation of Neural Networks. - Mohammad Nokhbeh Zaeem; Majid Komeili (SMC, 2021)

Measuring Cognitive Status from Speech in a Smart Home Environment. - Kathleen C. Fraser; Majid Komeili (IEEE Instrum. Meas. Mag., 2021)

Multiview Feature Selection for Single-View Classification. - Majid Komeili; Narges Armanfard; Dimitrios Hatzinakos (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Interpretable Concept-Based Prototypical Networks for Few-Shot Learning. - Mohammad Reza Zarei; Majid Komeili (ICIP, 2022)

Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space. - Seyed Omid Davoudi; Majid Komeili (ICLR, 2022)

Reference-Free Summarization Evaluation with Large Language Models. - Abbas Akkasi; Kathleen C. Fraser; Majid Komeili (Eval4NLP, 2023)

SuperVision: Self-Supervised Super-Resolution for Appearance-Based Gaze Estimation. - Galen O'Shea; Majid Komeili (Gaze Meets ML, 2023)

Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter. - Mohammad Reza Zarei; Michael Christensen; Sarah Everts; Majid Komeili (IJCNN, 2023)

Toward Super-Resolution for Appearance-Based Gaze Estimation. - Galen O'Shea; Majid Komeili (CoRR, 2023)

On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis. - Omid Davoodi; Shayan Mohammadizadehsamakosh; Majid Komeili (CoRR, 2023)

Feature-Based Explainable Reinforcement Learning in Environments with Multiple Sources of Risk. - Omid Davoodi; Majid Komeili (ICPRAI (1), 2024)

iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing. - Abbas Akkasi; Adnan Khan; Mai A. Shaaban; Majid Komeili; Mohammad Yaqub (SemEval@NAACL, 2024)

Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text. - Mai A. Shaaban; Abbas Akkasi; Adnan Khan; Majid Komeili; Mohammad Yaqub (CoRR, 2024)

A Step towards Automated and Generalizable Tactile Map Generation using Generative Adversarial Networks. - David G. Hobson; Majid Komeili (CoRR, 2024)

From Data Annotation to AI Prediction: Streamlining Histopathology Analysis in Acute Respiratory Distress Syndrome. - Amirhosein Ebrahimi; Mohammad Reza Zarei; Eva Kuhar; Prarthna Karunamurthy; Kasuni Pillagawa; Forough Jahandideh; Majid Komeili; Manoj Lalu; Arvind Mer (Canadian AI, 2025)

Interpretable few-shot learning with online attribute selection. - Mohammad Reza Zarei; Majid Komeili (Neurocomputing, 2025)

TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment. - Adnan Khan; Alireza Choubineh; Mai A. Shaaban; Abbas Akkasi; Majid Komeili (CoRR, 2025)

Dual Adapter Tuning of Vision-Language Models Using Large Language Models. - Mohammad Reza Zarei; Abbas Akkasi; Majid Komeili (Int. J. Comput. Intell. Syst., 2025)