Mohammad M. Ghassemi
Orcid: 0000-0001-5135-8588
According to our database1,
Mohammad M. Ghassemi
authored at least 51 papers
between 2014 and 2024.
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Bibliography
2024
SN Comput. Sci., June, 2024
Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models.
CoRR, 2024
The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments.
CoRR, 2024
Data Selective NLMS Outperforms LSTM and Futures for Regional Soybean Prices Forecasting.
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology.
CoRR, 2023
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains.
CoRR, 2023
Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks.
CoRR, 2023
Bayesian Networks Improve Out-of-Distribution Calibration for Agribusiness Delinquency Risk Assessment.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
Enhancing Credit Risk Reports Generation using LLMs: An Integration of Bayesian Networks and Labeled Guide Prompting.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.
Proceedings of the Computing in Cardiology, 2023
Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning.
IEEE Trans. Biomed. Eng., 2022
Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach.
CoRR, 2022
Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Frontiers Digit. Health, 2021
Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals.
CoRR, 2021
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021
Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2018
Life after death: techniques for the prognostication of coma outcomes after cardiac arrest.
PhD thesis, 2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Computing in Cardiology, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
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.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
An enhanced cerebral recovery index for coma prognostication following cardiac arrest.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach.
Proceedings of the Computing in Cardiology, 2015
A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes.
Proceedings of the Computing in Cardiology, 2015
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.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Proceedings of the AMIA 2014, 2014