Mohammad M. Ghassemi

67 papers A* 4A 3B 1Misc 4Journal 30Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains. EACL (Volume 1: Long Papers) Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi
2026	J	`jnl`	How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains. CoRR Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi
2026	J	`jnl`	What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization. CoRR Sara Rezaeimanesh, Mohammad M. Ghassemi
2025	Misc	`conf`	An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. ICASSP Chuheng Wu, Seyed Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai
2025	J	`jnl`	Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agent. CoRR Humza Nusrat, Luke Francisco, Bing Luo, Hassan Bagher-Ebadian, Joshua Kim, Karen Chin-Snyder, Salim Siddiqui, Mira Shah, Eric Mellon, Mohammad M. Ghassemi, Anthony Doemer, Benjamin Movsas, Kundan Thind
2025	A*	`conf`	Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments. AAAI Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi, Aven Zitzelberger, Jessica M. Lundin, Guillaume Chabot-Couture
2025	A*	`conf`	Calibrating LLM Confidence by Probing Perturbed Representation Stability. EMNLP Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese Smiley, Kundan Thind, Mohammad M. Ghassemi
2025	J	`jnl`	Calibrating LLM Confidence by Probing Perturbed Representation Stability. CoRR Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi
2025	A*	`conf`	Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework. AAAI Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
2025	J	`jnl`	Extracting Overlapping Microservices from Monolithic Code via Deep Semantic Embeddings and Graph Neural Network-Based Soft Clustering. CoRR Morteza Ziabakhsh, Kiyan Rezaee, Sadegh Eskandari, Seyed Amir Hossein Tabatabaei, Mohammad M. Ghassemi
2025	J	`jnl`	FOS: A Large-Scale Temporal Graph Benchmark for Scientific Interdisciplinary Link Prediction. CoRR Kiyan Rezaee, Morteza Ziabakhsh, Niloofar Nikfarjam, Mohammad M. Ghassemi, Yazdan Rezaee Jouryabi, Sadegh Eskandari, Reza Lashgari
2025	Misc	`conf`	GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation. ICASSP Niloufar Eghbali Zarch, Hassan Bagher-Ebadian, Tuka Alhanai, Mohammad M. Ghassemi
2025	J	`jnl`	GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation. CoRR Niloufar Eghbali, Hassan Bagher-Ebadian, Tuka Alhanai, Mohammad M. Ghassemi
2025	J	`jnl`	Investigating the Temporal Association of Biomedical Research on Small Business Funding: A Bibliometric and Data Analytic Approach. IEEE Trans. Comput. Soc. Syst. Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi
2025	J	`jnl`	MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks. CoRR Lotfi Abdelkrim Mecharbat, Alberto Marchisio, Muhammad Shafique, Mohammad M. Ghassemi, Tuka Alhanai
2025	J	`jnl`	Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks. CoRR Seyed Amir Bidaki, Amir Mohammadkhah, Kiyan Rezaee, Faeze Hassani, Sadegh Eskandari, Maziar Salahi, Mohammad M. Ghassemi
2024	J	`jnl`	An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. CoRR Chuheng Wu, Seyed Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai
2024	J	`jnl`	Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments. CoRR Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi, Aven Zitzelberger, Jessica M. Lundin, Guillaume Chabot-Couture
2024	—	`conf`	Data Selective NLMS Outperforms LSTM and Futures for Regional Soybean Prices Forecasting. EUSIPCO Hamed Yazdanpanah, Ana Clara Teixeira, Vaishali Marar, Aline Pezente, Mohammad M. Ghassemi
2024	J	`jnl`	Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework. CoRR Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
2024	—	`conf`	Feature Imitating Networks Enhance the Performance, Reliability and Speed of Deep Learning on Biomedical Image Processing Tasks. EMBC Shangyang Min, Hassan Bagher-Ebadian, Tuka Alhanai, Mohammad M. Ghassemi
2024	J	`jnl`	Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction. CoRR Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Luo Bing, Indrin J. Chetty, Tuka Alhanai, Kundan Thind, Mohammad M. Ghassemi
2024	J	`jnl`	Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models. CoRR Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Indrin J. Chetty, Mohammad M. Ghassemi, Kundan Thind
2024	J	`jnl`	Machine-arranged Interactions Improve Institutional Belonging and Cohesion. CoRR Mohammad M. Ghassemi, Tuka Alhanai
2024	J	`jnl`	The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments. CoRR Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi
2023	J	`jnl`	An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology. CoRR Reza Khanmohammadi, Mohammad M. Ghassemi, Kyle Verdecchia, Ahmed I. Ghanem, Luo Bing, Indrin J. Chetty, Hassan Bagher-Ebadian, Farzan Siddiqui, Mohamed Elshaikh, Benjamin Movsas, Kundan Thind
2023	—	`conf`	Bayesian Networks Improve Out-of-Distribution Calibration for Agribusiness Delinquency Risk Assessment. ICAIF Ana Clara Teixeira, Hamed Yazdanpanah, Aline Pezente, Mohammad M. Ghassemi
2023	A	`conf`	Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations. AAMAS Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai
2023	—	`conf`	Enhancing Credit Risk Reports Generation using LLMs: An Integration of Bayesian Networks and Labeled Guide Prompting. ICAIF Ana Clara Teixeira, Vaishali Marar, Hamed Yazdanpanah, Aline Pezente, Mohammad M. Ghassemi
2023	—	`conf`	Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, HyeokHyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford
2023	—	`conf`	Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit. BHI Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
2023	J	`jnl`	The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains. CoRR Reza Khanmohammadi, Tuka Alhanai, Mohammad M. Ghassemi
2022	Misc	`conf`	Feature Imitating Networks. ICASSP Sari Saba-Sadiya, Tuka Waddah AlHanai, Mohammad M. Ghassemi
2022	J	`jnl`	MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. CoRR Reza Khanmohammadi, Sari Saba-Sadiya, Sina Esfandiarpour, Tuka Alhanai, Mohammad M. Ghassemi
2022	J	`jnl`	Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach. CoRR Allen R. Williams, Yoolim Jin, Anthony Duer, Tuka Alhanai, Mohammad M. Ghassemi
2022	—	`conf`	Open-source code repository attributes predict impact of computer science research. JCDL Prajjwal Bhattarai, Mohammad M. Ghassemi, Tuka Alhanai
2022	J	`jnl`	Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. IEEE Trans. Biomed. Eng. Wei-Long Zheng, Edilberto Amorim, Jin Jing, Ona Wu, Mohammad M. Ghassemi, Jong Woo Lee, Adithya Sivaraju, Trudy Pang, Susan T. Herman, Nicolas Gaspard, Barry J. Ruijter, Marleen C. Tjepkema-Cloostermans, Jeannette Hofmeijer, Michel J. A. M. van Putten, M. Brandon Westover
2021	—	`conf`	A machine learning approach to detect early signs of startup success. ICAIF Abhinav Nadh Thirupathi, Tuka Alhanai, Mohammad M. Ghassemi
2021	—	`conf`	Artifact Detection and Correction in EEG data: A Review. NER Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
2021	J	`jnl`	Artifact Detection and Correction in EEG data: A Review. CoRR Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
2021	—	`conf`	Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. EMNLP (Findings) Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni
2021	J	`jnl`	Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. CoRR Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni
2021	J	`jnl`	Feature Imitating Networks. CoRR Sari Saba-Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
2021	B	`conf`	Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis. HCOMP Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai
2021	J	`jnl`	Patient-Specific Sedation Management via Deep Reinforcement Learning. Frontiers Digit. Health Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
2021	—	`conf`	SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. EMNLP (Findings) Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi
2021	J	`jnl`	SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. CoRR Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi
2020	J	`jnl`	EEG Channel Interpolation Using Deep Encoder-decoder Netwoks. CoRR Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
2020	—	`conf`	EEG Channel Interpolation Using Deep Encoder-decoder Networks. BIBM Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
2020	A	`conf`	SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports. WSDM Armineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville
2020	J	`jnl`	Unsupervised EEG Artifact Detection and Correction. Frontiers Digit. Health Sari Saba-Sadiya, Eric Chantland, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
2018	—	`conf`	A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. EMBC Rongmei Lin, Matthew D. Stanley, Mohammad M. Ghassemi, Shamim Nemati
2018	A	`conf`	Detecting Depression with Audio/Text Sequence Modeling of Interviews. INTERSPEECH Tuka Al Hanai, Mohammad M. Ghassemi, James R. Glass
2018	—	`conf`	How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization. EMBC Mohammad M. Ghassemi, Tuka Al Hanai, Jesse Daniel Raffa, Roger G. Mark, Shamim Nemati, Falgun H. Chokshi
2018	—	`conf`	Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati
2018	—	`conf`	You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. CinC Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford
2017	—	`conf`	An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https: //github.com/deskool/images to spreadsheets. IEEE BigData Mohammad M. Ghassemi, Willow Jarvis, Tuka Alhanai, Emery N. Brown, Roger G. Mark, M. Brandon Westover
2016	J	`jnl`	Machine Learning and Decision Support in Critical Care. Proc. IEEE Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford
2016	—	`conf`	Monitoring and detecting atrial fibrillation using wearable technology. EMBC Shamim Nemati, Mohammad M. Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit J. Shah, Gari D. Clifford
2016	—	`conf`	Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. EMBC Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford
2016	—	`conf`	The effects of deep network topology on mortality prediction. EMBC Hao Du, Mohammad M. Ghassemi, Mengling Feng
2015	—	`conf`	An enhanced cerebral recovery index for coma prognostication following cardiac arrest. EMBC Mohammad M. Ghassemi, Edilberto Amorim, Sandipan B. Pati, Roger G. Mark, Emery N. Brown, Patrick L. Purdon, M. Brandon Westover
2015	—	`conf`	Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. CinC Li-Wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek, Shamim Nemati
2014	—	`conf`	A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series. IEEE BigData Shamim Nemati, Mohammad M. Ghassemi
2014	Misc	`conf`	Big Data for Critical Care with Cloud-based In-Memory Database. AMIA Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark
2014	—	`conf`	Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. CinC Mohammad M. Ghassemi, Li-Wei H. Lehman, Jasper Snoek, Shamim Nemati
2014	A*	`conf`	Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data. KDD Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark