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ORCIDMohammad M. Ghassemi
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2020 – today
- 2022
[i7]Allen R. Williams, Yoolim Jin, Anthony Duer, Tuka Alhanai, Mohammad M. Ghassemi:
Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach. CoRR abs/2205.04616 (2022)- 2021
- [j3]Niloufar Eghbali, Tuka Alhanai
, Mohammad M. Ghassemi:
Patient-Specific Sedation Management via Deep Reinforcement Learning. Frontiers Digit. Health 3: 608893 (2021) - [c25]Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. EMNLP (Findings) 2021: 3398-3403 - [c24]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: 3534-3546 - [c23]Abhinav Nadh Thirupathi, Tuka Alhanai, Mohammad M. Ghassemi:
A machine learning approach to detect early signs of startup success. ICAIF 2021: 9:1-9:8 - [c22]Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi:
Artifact Detection and Correction in EEG data: A Review. NER 2021: 495-498 - [i6]Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi:
Artifact Detection and Correction in EEG data: A Review. CoRR abs/2106.13081 (2021) - [i5]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 abs/2109.05815 (2021) - [i4]Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. CoRR abs/2109.07424 (2021) - [i3]Sari Saba-Sadiya, Tuka Alhanai, Mohammad M. Ghassemi:
Feature Imitating Networks. CoRR abs/2110.04831 (2021) - [i2]Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mohammad Mahdi Ghassemi, Tuka Alhanai:
Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals. CoRR abs/2110.06131 (2021) - 2020
- [j2]Sari Saba-Sadiya, Eric Chantland, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi:
Unsupervised EEG Artifact Detection and Correction. Frontiers Digit. Health 2: 608920 (2020) - [c21]Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi:
EEG Channel Interpolation Using Deep Encoder-decoder Networks. BIBM 2020: 2432-2439 - [c20]Armineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville:
SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports. WSDM 2020: 853-856 - [i1]Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi:
EEG Channel Interpolation Using Deep Encoder-decoder Netwoks. CoRR abs/2009.12244 (2020)
2010 – 2019
- 2018
- [b1]Mohammad Mahdi Ghassemi:
Life after death: techniques for the prognostication of coma outcomes after cardiac arrest. Massachusetts Institute of Technology, Cambridge, USA, 2018 - [c19]Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati:
Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops 2018: 435-442 - [c18]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: 1-4 - [c17]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: 4058-4064 - [c16]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: 4927-4931 - [c15]Tuka Al Hanai, Mohammad M. Ghassemi, James R. Glass:
Detecting Depression with Audio/Text Sequence Modeling of Interviews. INTERSPEECH 2018: 1716-1720 - 2017
- [c14]Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi:
Predicting Latent Narrative Mood Using Audio and Physiologic Data. AAAI 2017: 948-954 - [c13]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: 935-941 - 2016
- [j1]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): 444-466 (2016) - [c12]Quanzhi Li, Sameena Shah, Mohammad Mahdi Ghassemi, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu:
Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches. IEEE BigData 2016: 4014-4016 - [c11]Hao Du, Mohammad M. Ghassemi, Mengling Feng:
The effects of deep network topology on mortality prediction. EMBC 2016: 2602-2605 - [c10]Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford:
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. EMBC 2016: 2978-2981 - [c9]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: 3394-3397 - 2015
- [c8]Mohammad Mahdi Ghassemi, Roger G. Mark, Shamim Nemati:
A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes. CinC 2015: 629-632 - [c7]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: 1069-1072 - [c6]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: 534-537 - [c5]Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Rui Fang, Mohammad Mahdi Ghassemi, Quanzhi Li:
Newsworthy Rumor Events: A Case Study of Twitter. ICDM Workshops 2015: 27-32 - 2014
- [c4]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 - [c3]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: 41-44 - [c2]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: 993-996 - [c1]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: 1970
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aka: Tuka Alhanai
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