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ORCIDTuka Al Hanai
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2020 – today
- 2024
[j3]Reza Khanmohammadi
, Sari Saba-Sadiya, Sina Esfandiarpour, Tuka Alhanai, Mohammad Mahdi Ghassemi:
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. SN Comput. Sci. 5(5): 628 (2024)- [i17]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 abs/2401.00942 (2024) - [i16]Chuheng Wu, Seyed Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai:
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. CoRR abs/2405.19356 (2024) - [i15]Mohammad M. Ghassemi, Tuka Alhanai:
Machine-arranged Interactions Improve Institutional Belonging and Cohesion. CoRR abs/2407.19565 (2024) - [i14]Costanza Armanini, Tuka Alhanai, Farah E. Shamout, Seyed Farokh Atashzar:
The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces. CoRR abs/2408.02547 (2024) - [i13]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:
Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction. CoRR abs/2408.04775 (2024) - 2023
- [c22]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: 326-334 - [c21]Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi:
Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit. BHI 2023: 1-5 - [i12]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:
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. CoRR abs/2305.13934 (2023) - [i11]Shangyang Min, Mohammad Mahdi Ghassemi, Tuka Alhanai:
Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks. CoRR abs/2306.14572 (2023) - [i10]Reza Khanmohammadi, Tuka Alhanai, Mohammad M. Ghassemi:
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains. CoRR abs/2309.12279 (2023) - 2022
- [c20]Sari Saba-Sadiya, Tuka Waddah AlHanai, Mohammad M. Ghassemi:
Feature Imitating Networks. ICASSP 2022: 4128-4132 - [c19]Prajjwal Bhattarai, Mohammad M. Ghassemi, Tuka Alhanai:
Open-source code repository attributes predict impact of computer science research. JCDL 2022: 16 - [c18]Christopher Song, David Harwath, Tuka Alhanai, James R. Glass:
Speak: A Toolkit Using Amazon Mechanical Turk to Collect and Validate Speech Audio Recordings. LREC 2022: 7253-7258 - [i9]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) - [i8]Reza Khanmohammadi, Sari Saba-Sadiya, Sina Esfandiarpour, Tuka Alhanai, Mohammad M. Ghassemi:
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. CoRR abs/2210.17060 (2022) - 2021
- [j2]Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi:
Patient-Specific Sedation Management via Deep Reinforcement Learning. Frontiers Digit. Health 3: 608893 (2021) - [c17]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 - [c16]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 - [c15]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: 84-96 - [c14]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 - [c13]Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi:
Artifact Detection and Correction in EEG data: A Review. NER 2021: 495-498 - [i7]Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi:
Artifact Detection and Correction in EEG data: A Review. CoRR abs/2106.13081 (2021) - [i6]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) - [i5]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) - [i4]Sari Saba-Sadiya, Tuka Alhanai, Mohammad M. Ghassemi:
Feature Imitating Networks. CoRR abs/2110.04831 (2021) - [i3]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
- [j1]Sari Saba-Sadiya, Eric Chantland, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi:
Unsupervised EEG Artifact Detection and Correction. Frontiers Digit. Health 2: 608920 (2020) - [c12]Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi:
EEG Channel Interpolation Using Deep Encoder-decoder Networks. BIBM 2020: 2432-2439 - [i2]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
- 2019
- [b1]Tuka Alhanai:
Detecting cognitive impairment from spoken language. Massachusetts Institute of Technology, Cambridge, USA, 2019 - 2018
- [c11]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 - [c10]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 - [c9]Tuka Al Hanai, Mohammad M. Ghassemi, James R. Glass:
Detecting Depression with Audio/Text Sequence Modeling of Interviews. INTERSPEECH 2018: 1716-1720 - [c8]Tuka Al Hanai, Rhoda Au, James R. Glass:
Role-specific Language Models for Processing Recorded Neuropsychological Exams. NAACL-HLT (2) 2018: 746-752 - 2017
- [c7]Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi:
Predicting Latent Narrative Mood Using Audio and Physiologic Data. AAAI 2017: 948-954 - [c6]Tuka Alhanai, Rhoda Au, James R. Glass:
Spoken language biomarkers for detecting cognitive impairment. ASRU 2017: 409-416 - [c5]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 - [c4]Sameer Khurana, Maryam Najafian, Ahmed Ali, Tuka Al Hanai, Yonatan Belinkov, James R. Glass:
QMDIS: QCRI-MIT Advanced Dialect Identification System. INTERSPEECH 2017: 2591-2595 - [i1]Tuka Alhanai, Rhoda Au, James R. Glass:
Spoken Language Biomarkers for Detecting Cognitive Impairment. CoRR abs/1710.07551 (2017) - 2016
- [c3]Tuka Al Hanai, Wei-Ning Hsu, James R. Glass:
Development of the MIT ASR system for the 2016 Arabic Multi-genre Broadcast Challenge. SLT 2016: 299-304 - 2014
- [c2]Patrick Cardinal, Ahmed Ali, Najim Dehak, Yu Zhang, Tuka Al Hanai, Yifan Zhang, James R. Glass, Stephan Vogel:
Recent advances in ASR applied to an Arabic transcription system for Al-Jazeera. INTERSPEECH 2014: 2088-2092 - [c1]Tuka Al Hanai, James R. Glass:
Lexical modeling for Arabic ASR: a systematic approach. INTERSPEECH 2014: 2605-2609
Coauthor Index
aka: Mohammad Mahdi Ghassemi
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last updated on 2024-10-15 21:37 CEST by the dblp team
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