Recent advances in ASR applied to an Arabic transcription system for Al-Jazeera. - Patrick Cardinal; Ahmed Ali 002; Najim Dehak; Yu Zhang 033; Tuka Al Hanai; Yifan Zhang; James R. Glass; Stephan Vogel (INTERSPEECH, 2014)

Lexical modeling for Arabic ASR: a systematic approach. - Tuka Al Hanai; James R. Glass (INTERSPEECH, 2014)

Development of the MIT ASR system for the 2016 Arabic Multi-genre Broadcast Challenge. - Tuka Al Hanai; Wei-Ning Hsu; James R. Glass (SLT, 2016)

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

Spoken language biomarkers for detecting cognitive impairment. - Tuka Alhanai; Rhoda Au; James R. Glass (ASRU, 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)

QMDIS: QCRI-MIT Advanced Dialect Identification System. - Sameer Khurana; Maryam Najafian; Ahmed Ali 002; Tuka Al Hanai; Yonatan Belinkov; James R. Glass (INTERSPEECH, 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)

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)

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

Role-specific Language Models for Processing Recorded Neuropsychological Exams. - Tuka Al Hanai; Rhoda Au; James R. Glass (NAACL-HLT (2), 2018)

Detecting cognitive impairment from spoken language. - Tuka Alhanai (2019)

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

Speak: A Toolkit Using Amazon Mechanical Turk to Collect and Validate Speech Audio Recordings. - Christopher Song; David Harwath; Tuka Alhanai; James R. Glass (LREC, 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)

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)

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. - Hazem Ibrahim; Fengyuan Liu; Rohail Asim; Balaraju Battu; Sidahmed Benabderrahmane; Bashar Alhafni; Wifag Adnan; Tuka Alhanai; Bedoor K. AlShebli; Riyadh Baghdadi; Jocelyn J. Bélanger; Elena Beretta; et al. (CoRR, 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)

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)

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)

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

The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces. - Costanza Armanini; Tuka Alhanai; Farah E. Shamout; Seyed Farokh Atashzar (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)

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)