Elham Dolatabadi

41 papers Journal 32Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing the Quality of Mental Health Support in LLM Responses through Multi-Attribute Human Evaluation. CoRR Abeer Badawi, Md. Tahmid Rahman Laskar, Elahe Rahimi, Sheri Grach, Lindsay Bertrand, Lames Danok, Frank Rudzicz, Jimmy Huang, Elham Dolatabadi
2026	J	`jnl`	VLDBench Evaluating multimodal disinformation with regulatory alignment. Inf. Fusion Shaina Raza, Ashmal Vayani, Aditya Jain, Aravind Narayanan, Vahid Reza Khazaie, Syed Raza Bashir, Elham Dolatabadi, Gias Uddin, Christos Emmanouilidis, Rizwan Qureshi, Mubarak Shah
2026	—	`conf`	When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation. EACL (Volume 1: Long Papers) Abeer Badawi, Elahe Rahimi, Md. Tahmid Rahman Laskar, Sheri Grach, Lindsay Bertrand, Lames Danok, Prathiba Dhanesh, Jimmy Huang, Frank Rudzicz, Elham Dolatabadi
2026	J	`jnl`	When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains. CoRR Ahmadreza Jeddi, Kimia Shaban, Negin Baghbanzadeh, Natasha Sharan, Abhishek Moturu, Elham Dolatabadi, Babak Taati
2025	J	`jnl`	A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities. CoRR Wen Xu, Elham Dolatabadi
2025	J	`jnl`	A Shared Encoder Approach to Multimodal Representation Learning. CoRR Shuvendu Roy, Franklin Ogidi, Ali Etemad, Elham Dolatabadi, Arash Afkanpour
2025	J	`jnl`	Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition. CoRR Juan Andres Medina Florez, Shaina Raza, Rashida Lynn, Zahra Shakeri, Brendan T. Smith, Elham Dolatabadi
2025	—	`conf`	Advancing Medical Representation Learning Through High-Quality Data. MICCAI (13) Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar, Franklin Ogidi, Shuvendu Roy, Sajad Ashkezari, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Arash Afkanpour, Elham Dolatabadi
2025	J	`jnl`	Advancing Medical Representation Learning Through High-Quality Data. CoRR Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar, Franklin Ogidi, Shuvendu Roy, Sajad Ashkezari, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Arash Afkanpour, Elham Dolatabadi
2025	J	`jnl`	Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models. Trans. Mach. Learn. Res. Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad
2025	—	`conf`	Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge. ACL (1) Md. Tahmid Rahman Laskar, Israt Jahan, Elham Dolatabadi, Chun Peng, Enamul Hoque, Jimmy Huang
2025	J	`jnl`	Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge. CoRR Md. Tahmid Rahman Laskar, Israt Jahan, Elham Dolatabadi, Chun Peng, Enamul Hoque, Jimmy Huang
2025	J	`jnl`	MLHOps: Machine Learning Health Operations. IEEE Access Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloé Pou-Prom, Sedef Akinli Koçak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz
2025	—	`conf`	Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization. EMNLP (Findings) Elahe Rahimi, Hassan Sajjad, Domenic Rosati, Abeer Badawi, Elham Dolatabadi, Frank Rudzicz
2025	J	`jnl`	Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning. CoRR Negin Baghbanzadeh, Sajad Ashkezari, Elham Dolatabadi, Arash Afkanpour
2025	—	`conf`	Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care. ICML (Position Papers) Abeer Badawi, Md. Tahmid Rahman Laskar, Jimmy Huang, Shaina Raza, Elham Dolatabadi
2025	J	`jnl`	Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care. CoRR Abeer Badawi, Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang, Shaina Raza, Elham Dolatabadi
2025	J	`jnl`	Similarity-Aware Token Pruning: Your VLM but Faster. CoRR Ahmadreza Jeddi, Negin Baghbanzadeh, Elham Dolatabadi, Babak Taati
2025	J	`jnl`	The FAIIR conversational AI agent assistant for youth mental health service provision. npj Digit. Medicine Stephen Obadinma, Alia Lachana, Maia Leigh Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi
2025	J	`jnl`	VLDBench: Vision Language Models Disinformation Detection Benchmark. CoRR Shaina Raza, Ashmal Vayani, Aditya Jain, Aravind Narayanan, Vahid Reza Khazaie, Syed Raza Bashir, Elham Dolatabadi, Gias Uddin, Christos Emmanouilidis, Rizwan Qureshi, Mubarak Shah
2025	J	`jnl`	When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation. CoRR Abeer Badawi, Elahe Rahimi, Md. Tahmid Rahman Laskar, Sheri Grach, Lindsay Bertrand, Lames Danok, Jimmy Huang, Frank Rudzicz, Elham Dolatabadi
2024	J	`jnl`	Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning. CoRR Shuvendu Roy, Yasaman Parhizkar, Franklin Ogidi, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Elham Dolatabadi, Arash Afkanpour
2024	J	`jnl`	Detecting Patient Position Using Bed-Reaction Forces for Pressure Injury Prevention and Management. Sensors Nikola Pupic, Sharon Gabison, Gary Evans, Geoffrey R. Fernie, Elham Dolatabadi, Tilak Dutta
2024	J	`jnl`	Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. IEEE Access Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya
2024	J	`jnl`	Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. CoRR Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya
2024	J	`jnl`	FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? Data Intell. Shaina Raza, Shardul Ghuge, Chen Ding, Elham Dolatabadi, Deval Pandya
2024	J	`jnl`	Few-shot Tuning of Foundation Models for Class-incremental Learning. CoRR Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad
2024	J	`jnl`	Practical Guide for Causal Pathways and Sub-group Disparity Analysis. CoRR Farnaz Kohankhaki, Shaina Raza, Oluwanifemi Bamgbose, Deval Pandya, Elham Dolatabadi
2024	J	`jnl`	The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision. CoRR Stephen Obadinma, Alia Lachana, Maia Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi
2023	J	`jnl`	Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. CoRR Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi
2023	J	`jnl`	Evaluating Knowledge Transfer in the Neural Network for Medical Images. IEEE Access Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
2023	J	`jnl`	MLHOps: Machine Learning for Healthcare Operations. CoRR Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz
2022	J	`jnl`	Measuring Repositioning in Home Care for Pressure Injury Prevention and Management. Sensors Sharon Gabison, Nikola Pupic, Gary Evans, Elham Dolatabadi, Tilak Dutta
2020	J	`jnl`	A Computer Vision Approach to Combat Lyme Disease. CoRR Sina Akbarian, Tania Cawston, Laurent Moreno, Samir Patel, Vanessa Allen, Elham Dolatabadi
2020	—	`conf`	A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature. SDP@EMNLP Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Akinli Koçak, Elham Dolatabadi
2020	J	`jnl`	An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain. CoRR Paul Grouchy, Shobhit Jain, Michael Liu, Kuhan Wang, Max Tian, Nidhi Arora, Hillary Ngai, Faiza Khan Khattak, Elham Dolatabadi, Sedef Akinli Koçak
2020	J	`jnl`	Evaluating Knowledge Transfer In Neural Network for Medical Images. CoRR Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
2017	J	`jnl`	Mixture-Model Clustering of Pathological Gait Patterns. IEEE J. Biomed. Health Informatics Elham Dolatabadi, Avril Mansfield, Kara K. Patterson, Babak Taati, Alex Mihailidis
2017	—	`conf`	The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy. PervasiveHealth Elham Dolatabadi, Ying Xuan Zhi, Bing Ye, Marge M. Coahran, Giorgia Lupinacci, Alex Mihailidis, Rosalie Wang, Babak Taati
2016	—	`conf`	Automated classification of pathological gait after stroke using ubiquitous sensing technology. EMBC Elham Dolatabadi, Babak Taati, Alex Mihailidis
2011	—	`conf`	Statistical characterization of wireless channel between personal area network nodes. ISABEL Elham Dolatabadi, Serguei Primak