Valsamma Eapen

According to our database, Valsamma Eapen authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Hybrid ensemble learning for Autism Spectrum Disorder screening using eye-tracking scanpath.

Nejad Alagha, Aya A. Elkhodiry, Abigail Copiaco, Yassine Himeur, Wathiq Mansoor, Christian H. Ritz, Valsamma Eapen, Ammar Albanna, Amin Beheshti

Array, 2026

A Lightweight Deep-Feature and SVM Framework for Autism Screening Using Eye-Tracking Scanpath Images.

Nejad Alagha, Aya A. Elkhodiry, Abigail Copiaco, Yassine Himeur, Wathiq Mansoor, Christian Ritz, Valsamma Eapen, Ammar Albanna

Proceedings of the IEEE International Conference on Consumer Electronics, 2026

2025

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis.

Wafaa Kasri, Yassine Himeur, Abigail Copiaco, Wathiq Mansoor, Ammar Albanna, Valsamma Eapen

CoRR, June, 2025

Fusion of Handcrafted and LSTM-Derived Features for Robust ASD Classification from Eye-Tracking Data.

Nejad Alagha, Aya A. Elkhodiry, Abigail Copiaco, Yassine Himeur, Wathiq Mansoor, Christian Ritz, Valsamma Eapen, Ammar Albanna

Proceedings of the 8th International Conference on Signal Processing and Information Security, 2025

Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis.

Abigail Copiaco, Christian Ritz, Yassine Himeur, Valsamma Eapen, Ammar Albanna, Wathiq Mansoor

Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

2020

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data.

Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni

CoRR, 2020

Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19.

Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad, A. H. M. Kamal, Jahidur Rahman Khan, Md. Protikuzzaman, Nasif Hossain, Julian M. W. Quinn, Matthew A. Summers, Teng Liaw, Valsamma Eapen, Mohammad Ali Moni

CoRR, 2020