Olympic Sports Events Classification Using Convolutional Neural Networks. - Shahana Shultana; Md. Shakil Moharram; Nafis Neehal (IJCCI, 2018)

Shot-Net: A Convolutional Neural Network for Classifying Different Cricket Shots. - Md. Ferdouse Ahmed Foysal; Mohammad Shakirul Islam; Asif Karim; Nafis Neehal (RTIP2R (1), 2018)

ExNET: Deep Neural Network for Exercise Pose Detection. - Sadeka Haque; AKM Shahariar Azad Rabby; Monira Akter Laboni; Nafis Neehal; Syed Akhter Hossain (RTIP2R (1), 2018)

A Comparative Study of Different CNN Models in City Detection Using Landmark Images. - Masum Shah Junayed; Afsana Ahsan Jeny; Nafis Neehal; Syeda Tanjila Atik; Syed Akhter Hossain (RTIP2R (1), 2018)

Incept-N: A Convolutional Neural Network Based Classification Approach for Predicting Nationality from Facial Features. - Masum Shah Junayed; Afsana Ahsan Jeny; Nafis Neehal; Eshtiak Ahmed; Syed Akhter Hossain (RTIP2R (2), 2018)

InceptB: A CNN Based Classification Approach for Recognizing Traditional Bengali Games. - Mohammad Shakirul Islam; Ferdouse Ahmed Foysal; Nafis Neehal (CoRR, 2018)

Runtime Optimization of Identification Event in ECG Based Biometric Authentication. - Nafis Neehal; Dewan Ziaul Karim; Sejuti Banik; Tasfia Anika (CoRR, 2018)

Incept-N: A Convolutional Neural Network based Classification Approach for Predicting Nationality from Facial Features. - Masum Shah Junayed; Afsana Ahsan Jeny; Nafis Neehal (CoRR, 2018)

Predictive Modeling for Complex Care Management. - Georgios Mavroudeas; Nafis Neehal; Xiao Shou; Malik Magdon-Ismail; Jason Nicholas Kuruzovich; Kristin P. Bennett (BIBM, 2021)

Subpopulation Analysis in Causal Inference: A Healthcare Case Study. - Georgios Mavroudeas; Nafis Neehal; Jason Nicholas Kuruzovich; Kristin P. Bennett; Malik Magdon-Ismail (BIBM, 2022)

Examining Trustworthiness of LLM-as-a-Judge Systems in a Clinical Trial Design Benchmark. - Corey Curran; Nafis Neehal; Keerthiram Murugesan; Kristin P. Bennett (IEEE Big Data, 2024)

Design and Assessment of Representative Hybrid Clinical Trials using Health Recommender System. - Nafis Neehal; Vibha Anand; Kristin P. Bennett (HealthRecSys@RecSys, 2024)

CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design. - Nafis Neehal; Bowen Wang; Shayom Debopadhaya; Soham Dan; Keerthiram Murugesan; Vibha Anand; Kristin P. Bennett (CoRR, 2024)

Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation. - Nafis Neehal; Bowen Wang; Shayom Debopadhaya; Corey Curran; Keerthiram Murugesan; Soham Dan; Vibha Anand; Kristin P. Bennett (NAACL (Findings), 2025)