Mohammad M. Ghassemi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

Top Topics

Atrial Fibrillation

Reinforcement Learning

Top Venues

Publications

Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi
The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments. CoRR (2024)
Chuheng Wu, S. Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. CoRR (2024)
Mohammad M. Ghassemi, Tuka Alhanai
Machine-arranged Interactions Improve Institutional Belonging and Cohesion. CoRR (2024)
Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Indrin J. Chetty, Mohammad M. Ghassemi, Kundan Thind
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models. CoRR (2024)
Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai
Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations. AAMAS (2023)
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
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology. CoRR (2023)
Reza Khanmohammadi, Tuka Alhanai, Mohammad M. Ghassemi
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains. CoRR (2023)
Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit. BHI (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, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC (2023)
Sari Saba-Sadiya, Tuka Waddah AlHanai, Mohammad M. Ghassemi
Feature Imitating Networks. ICASSP (2022)
Reza Khanmohammadi, Sari Saba-Sadiya, Sina Esfandiarpour, Tuka Alhanai, Mohammad M. Ghassemi
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. CoRR (2022)
Prajjwal Bhattarai, Mohammad M. Ghassemi, Tuka Alhanai
Open-source code repository attributes predict impact of computer science research. JCDL (2022)
Allen R. Williams, Yoolim Jin, Anthony Duer, Tuka Alhanai, Mohammad M. Ghassemi
Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach. CoRR (2022)
Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
Artifact Detection and Correction in EEG data: A Review. NER (2021)
Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. EMNLP (Findings) (2021)
Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai
Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis. HCOMP (2021)
Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. CoRR (2021)
Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. CoRR (2021)
Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
Artifact Detection and Correction in EEG data: A Review. CoRR (2021)
Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. EMNLP (Findings) (2021)
Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
Patient-Specific Sedation Management via Deep Reinforcement Learning. Frontiers Digit. Health 3 (2021)
Abhinav Nadh Thirupathi, Tuka Alhanai, Mohammad M. Ghassemi
A machine learning approach to detect early signs of startup success. ICAIF (2021)
Sari Saba-Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
Feature Imitating Networks. CoRR (2021)
Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
EEG Channel Interpolation Using Deep Encoder-decoder Netwoks. CoRR (2020)
Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
EEG Channel Interpolation Using Deep Encoder-decoder Networks. BIBM (2020)
Sari Saba-Sadiya, Eric Chantland, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
Unsupervised EEG Artifact Detection and Correction. Frontiers Digit. Health 2 (2020)
Armineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville
SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports. WSDM (2020)
Mohammad M. Ghassemi, Tuka Al Hanai, Jesse Daniel Raffa, Roger G. Mark, Shamim Nemati, Falgun H. Chokshi
How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization. EMBC (2018)
Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati
Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops (2018)
Tuka Al Hanai, Mohammad M. Ghassemi, James R. Glass
Detecting Depression with Audio/Text Sequence Modeling of Interviews. INTERSPEECH (2018)
Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. CinC (2018)
Rongmei Lin, Matthew D. Stanley, Mohammad M. Ghassemi, Shamim Nemati
A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. EMBC (2018)
Mohammad M. Ghassemi, Willow Jarvis, Tuka Alhanai, Emery N. Brown, Roger G. Mark, M. Brandon Westover
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 (2017)
Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford
Machine Learning and Decision Support in Critical Care. Proc. IEEE 104 (2) (2016)
Hao Du, Mohammad M. Ghassemi, Mengling Feng
The effects of deep network topology on mortality prediction. EMBC (2016)
Shamim Nemati, Mohammad M. Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit J. Shah, Gari D. Clifford
Monitoring and detecting atrial fibrillation using wearable technology. EMBC (2016)
Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. EMBC (2016)
Li-Wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek, Shamim Nemati
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. CinC (2015)
Mohammad M. Ghassemi, Edilberto Amorim, Sandipan B. Pati, Roger G. Mark, Emery N. Brown, Patrick L. Purdon, M. Brandon Westover
An enhanced cerebral recovery index for coma prognostication following cardiac arrest. EMBC (2015)
Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark
Big Data for Critical Care with Cloud-based In-Memory Database. AMIA (2014)
Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark
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 (2014)
Shamim Nemati, Mohammad M. Ghassemi
A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series. IEEE BigData (2014)
Mohammad M. Ghassemi, Li-Wei H. Lehman, Jasper Snoek, Shamim Nemati
Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. CinC (2014)