Big Data for Critical Care with Cloud-based In-Memory Database. - Mengling Feng; Mohammad M. Ghassemi; Thomas Brennan; John Ellenberger; Ishrar Hussain; Roger G. Mark (AMIA, 2014)

A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series. - Shamim Nemati; Mohammad M. Ghassemi (IEEE BigData, 2014)

Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. - Mohammad M. Ghassemi; Li-Wei H. Lehman; Jasper Snoek; Shamim Nemati (CinC, 2014)

Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data. - Mengling Feng; Mohammad M. Ghassemi; Thomas Brennan; John Ellenberger; Ishrar Hussain; Roger G. Mark (KDD, 2014)

A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes. - Mohammad Mahdi Ghassemi; Roger G. Mark; Shamim Nemati (CinC, 2015)

Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. - Li-Wei H. Lehman; Mohammad M. Ghassemi; Jasper Snoek; Shamim Nemati (CinC, 2015)

An enhanced cerebral recovery index for coma prognostication following cardiac arrest. - Mohammad M. Ghassemi; Edilberto Amorim; Sandipan B. Pati; Roger G. Mark; Emery N. Brown; Patrick L. Purdon; M. Brandon Westover (EMBC, 2015)

Newsworthy Rumor Events: A Case Study of Twitter. - Armineh Nourbakhsh; Xiaomo Liu; Sameena Shah; Rui Fang; Mohammad Mahdi Ghassemi; Quanzhi Li (ICDM Workshops, 2015)

Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches. - Quanzhi Li; Sameena Shah; Mohammad Mahdi Ghassemi; Rui Fang; Armineh Nourbakhsh; Xiaomo Liu (IEEE BigData, 2016)

The effects of deep network topology on mortality prediction. - Hao Du 005; Mohammad M. Ghassemi; Mengling Feng (EMBC, 2016)

Monitoring and detecting atrial fibrillation using wearable technology. - Shamim Nemati; Mohammad M. Ghassemi; Vaidehi Ambai; Nino Isakadze; Oleksiy Levantsevych; Amit J. Shah; Gari D. Clifford (EMBC, 2016)

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. - Shamim Nemati; Mohammad M. Ghassemi; Gari D. Clifford (EMBC, 2016)

Machine Learning and Decision Support in Critical Care. - Alistair E. W. Johnson; Mohammad M. Ghassemi; Shamim Nemati; Katherine E. Niehaus; David A. Clifton; Gari D. Clifford (Proc. IEEE, 2016)

Predicting Latent Narrative Mood Using Audio and Physiologic Data. - Tuka Waddah AlHanai; Mohammad Mahdi Ghassemi (AAAI, 2017)

An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https: //github.com/deskool/images to spreadsheets. - Mohammad M. Ghassemi; Willow Jarvis; Tuka Alhanai; Emery N. Brown; Roger G. Mark; M. Brandon Westover (IEEE BigData, 2017)

Personalized Medication Dosing Using Volatile Data Streams. - Mohammad M. Ghassemi; Tuka Al Hanai; M. Brandon Westover; Roger G. Mark; Shamim Nemati (AAAI Workshops, 2018)

You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. - Mohammad M. Ghassemi; Benjamin Moody; Li-Wei H. Lehman; Christopher Song; Qiao Li 011; Haoqi Sun; M. Brandon Westover; Gari D. Clifford (CinC, 2018)

How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization. - Mohammad M. Ghassemi; Tuka Al Hanai; Jesse Daniel Raffa; Roger G. Mark; Shamim Nemati; Falgun H. Chokshi (EMBC, 2018)

A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. - Rongmei Lin; Matthew D. Stanley; Mohammad M. Ghassemi; Shamim Nemati (EMBC, 2018)

Detecting Depression with Audio/Text Sequence Modeling of Interviews. - Tuka Al Hanai; Mohammad M. Ghassemi; James R. Glass (INTERSPEECH, 2018)

Life after death: techniques for the prognostication of coma outcomes after cardiac arrest. - Mohammad Mahdi Ghassemi (2018)

EEG Channel Interpolation Using Deep Encoder-decoder Networks. - Sari Saba-Sadiya; Tuka Alhanai; Taosheng Liu; Mohammad M. Ghassemi (BIBM, 2020)

SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports. - Armineh Nourbakhsh; Mohammad M. Ghassemi; Steven Pomerville (WSDM, 2020)

EEG Channel Interpolation Using Deep Encoder-decoder Netwoks. - Sari Saba-Sadiya; Tuka Alhanai; Taosheng Liu; Mohammad M. Ghassemi (CoRR, 2020)

Unsupervised EEG Artifact Detection and Correction. - Sari Saba-Sadiya; Eric Chantland; Tuka Alhanai; Taosheng Liu; Mohammad M. Ghassemi (Frontiers Digit. Health, 2020)

Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. - Shivam Raval; Hooman Sedghamiz; Enrico Santus; Tuka Alhanai; Mohammad M. Ghassemi; Emmanuele Chersoni (EMNLP (Findings), 2021)

SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. - Hooman Sedghamiz; Shivam Raval; Enrico Santus; Tuka Alhanai; Mohammad M. Ghassemi (EMNLP (Findings), 2021)

Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis. - Lujain Ibrahim; Mohammad M. Ghassemi; Tuka Alhanai (HCOMP, 2021)

A machine learning approach to detect early signs of startup success. - Abhinav Nadh Thirupathi; Tuka Alhanai; Mohammad M. Ghassemi (ICAIF, 2021)

Artifact Detection and Correction in EEG data: A Review. - Sari Sadiya; Tuka Alhanai; Mohammad M. Ghassemi (NER, 2021)

Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals. - Reza Khanmohammadi; Mitra Sadat Mirshafiee; Mohammad Mahdi Ghassemi; Tuka Alhanai (CoRR, 2021)

Patient-Specific Sedation Management via Deep Reinforcement Learning. - Niloufar Eghbali; Tuka Alhanai; Mohammad M. Ghassemi (Frontiers Digit. Health, 2021)

Feature Imitating Networks. - Sari Saba-Sadiya; Tuka Waddah AlHanai; Mohammad M. Ghassemi (ICASSP, 2022)

Open-source code repository attributes predict impact of computer science research. - Prajjwal Bhattarai; Mohammad M. Ghassemi; Tuka Alhanai (JCDL, 2022)

Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach. - Allen R. Williams; Yoolim Jin; Anthony Duer; Tuka Alhanai; Mohammad M. Ghassemi (CoRR, 2022)

Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. - 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; et al. (IEEE Trans. Biomed. Eng., 2022)

Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations. - Lujain Ibrahim; Mohammad M. Ghassemi; Tuka Alhanai (AAMAS, 2023)

Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit. - Niloufar Eghbali; Tuka Alhanai; Mohammad M. Ghassemi (BHI, 2023)

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. - 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; et al. (CinC, 2023)

Enhancing Credit Risk Reports Generation using LLMs: An Integration of Bayesian Networks and Labeled Guide Prompting. - Ana Clara Teixeira; Vaishali Marar; Hamed Yazdanpanah; Aline Pezente; Mohammad M. Ghassemi (ICAIF, 2023)

Bayesian Networks Improve Out-of-Distribution Calibration for Agribusiness Delinquency Risk Assessment. - Ana Clara Teixeira; Hamed Yazdanpanah; Aline Pezente; Mohammad M. Ghassemi (ICAIF, 2023)

Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks. - Shangyang Min; Mohammad Mahdi Ghassemi; Tuka Alhanai (CoRR, 2023)

The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains. - Reza Khanmohammadi; Tuka Alhanai; Mohammad M. Ghassemi (CoRR, 2023)

An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology. - 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 (CoRR, 2023)

Feature Imitating Networks Enhance the Performance, Reliability and Speed of Deep Learning on Biomedical Image Processing Tasks. - Shangyang Min; Hassan Bagher-Ebadian; Tuka Alhanai; Mohammad M. Ghassemi (EMBC, 2024)

Data Selective NLMS Outperforms LSTM and Futures for Regional Soybean Prices Forecasting. - Hamed Yazdanpanah; Ana Clara Teixeira; Vaishali Marar; Aline Pezente; Mohammad M. Ghassemi (EUSIPCO, 2024)

The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments. - Reza Khanmohammadi; Simerjot Kaur; Charese H. Smiley; Tuka Alhanai; Ivan Brugere; Armineh Nourbakhsh; Mohammad M. Ghassemi (CoRR, 2024)

Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models. - Reza Khanmohammadi; Ahmed I. Ghanem; Kyle Verdecchia; Ryan Hall; Mohamed Elshaikh; Benjamin Movsas; Hassan Bagher-Ebadian; Indrin J. Chetty; Mohammad M. Ghassemi; Kundan Thind (CoRR, 2024)

Machine-arranged Interactions Improve Institutional Belonging and Cohesion. - Mohammad M. Ghassemi; Tuka Alhanai (CoRR, 2024)

Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction. - 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 (CoRR, 2024)

MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. - Reza Khanmohammadi; Sari Saba-Sadiya; Sina Esfandiarpour; Tuka Alhanai; Mohammad Mahdi Ghassemi (SN Comput. Sci., 2024)

Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments. - Tuka Alhanai; Adam Kasumovic; Mohammad M. Ghassemi; Aven Zitzelberger; Jessica M. Lundin; Guillaume Chabot-Couture (AAAI, 2025)

Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework. - Niloufar Eghbali; Tuka Alhanai; Mohammad M. Ghassemi (AAAI, 2025)

An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. - Chuheng Wu; Seyed Farokh Atashzar; Mohammad M. Ghassemi; Tuka Alhanai (ICASSP, 2025)

GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation. - Niloufar Eghbali Zarch; Hassan Bagher-Ebadian; Tuka Alhanai; Mohammad M. Ghassemi (ICASSP, 2025)

Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks. - Seyed Amir Bidaki; Amir Mohammadkhah; Kiyan Rezaee; Faeze Hassani; Sadegh Eskandari; Maziar Salahi; Mohammad M. Ghassemi (CoRR, 2025)

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks. - Lotfi Abdelkrim Mecharbat; Alberto Marchisio; Muhammad Shafique 001; Mohammad M. Ghassemi; Tuka Alhanai (CoRR, 2025)

Calibrating LLM Confidence by Probing Perturbed Representation Stability. - Reza Khanmohammadi; Erfan Miahi; Mehrsa Mardikoraem; Simerjot Kaur; Ivan Brugere; Charese H. Smiley; Kundan Thind; Mohammad M. Ghassemi (CoRR, 2025)

Extracting Overlapping Microservices from Monolithic Code via Deep Semantic Embeddings and Graph Neural Network-Based Soft Clustering. - Morteza Ziabakhsh; Kiyan Rezaee; Sadegh Eskandari; Seyed Amir Hossein Tabatabaei; Mohammad M. Ghassemi (CoRR, 2025)