Tuka Al Hanai

According to our database, Tuka Al Hanai authored at least 37 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 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

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

Machine-arranged Interactions Improve Institutional Belonging and Cohesion.

Mohammad M. Ghassemi, Tuka Alhanai

CoRR, 2024

An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals.

Chuheng Wu, Seyed Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai

CoRR, 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

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, Mohammad Mahdi Ghassemi, Tuka Alhanai

CoRR, 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, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, András György, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki

CoRR, 2023

Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit.

Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi

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.

Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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

Speak: A Toolkit Using Amazon Mechanical Turk to Collect and Validate Speech Audio Recordings.

Christopher Song, David Harwath, Tuka Alhanai, James R. Glass

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Open-source code repository attributes predict impact of computer science research.

Prajjwal Bhattarai, Mohammad M. Ghassemi, Tuka Alhanai

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Feature Imitating Networks.

Sari Saba-Sadiya, Tuka Waddah AlHanai, Mohammad M. Ghassemi

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Patient-Specific Sedation Management via Deep Reinforcement Learning.

Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi

Frontiers Digit. Health, 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

Artifact Detection and Correction in EEG data: A Review.

Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

A machine learning approach to detect early signs of startup success.

Abhinav Nadh Thirupathi, Tuka Alhanai, Mohammad M. Ghassemi

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.

Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai

Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations.

Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi

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.

Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Unsupervised EEG Artifact Detection and Correction.

Sari Saba-Sadiya, Eric Chantland, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi

Frontiers Digit. Health, 2020

EEG Channel Interpolation Using Deep Encoder-decoder Netwoks.

Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi

CoRR, 2020

EEG Channel Interpolation Using Deep Encoder-decoder Networks.

Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Detecting cognitive impairment from spoken language.

Tuka Alhanai

PhD thesis, 2019

2018

Role-specific Language Models for Processing Recorded Neuropsychological Exams.

Tuka Al Hanai, Rhoda Au, James R. Glass

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Detecting Depression with Audio/Text Sequence Modeling of Interviews.

Tuka Al Hanai, Mohammad M. Ghassemi, James R. Glass

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Personalized Medication Dosing Using Volatile Data Streams.

Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

QMDIS: QCRI-MIT Advanced Dialect Identification System.

Sameer Khurana, Maryam Najafian, Ahmed Ali, Tuka Al Hanai, Yonatan Belinkov, James R. Glass

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 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

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Spoken language biomarkers for detecting cognitive impairment.

Tuka Alhanai, Rhoda Au, James R. Glass

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Predicting Latent Narrative Mood Using Audio and Physiologic Data.

Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Development of the MIT ASR system for the 2016 Arabic Multi-genre Broadcast Challenge.

Tuka Al Hanai, Wei-Ning Hsu, James R. Glass

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

2014

Lexical modeling for Arabic ASR: a systematic approach.

Tuka Al Hanai, James R. Glass

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Recent advances in ASR applied to an Arabic transcription system for Al-Jazeera.

Patrick Cardinal, Ahmed Ali, Najim Dehak, Yu Zhang, Tuka Al Hanai, Yifan Zhang, James R. Glass, Stephan Vogel

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014