Tuka Alhanai

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Venues

CoRR

Frontiers Digit. Health

EMNLP (Findings)

NER

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

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 (2024)
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) (2024)
Chuheng Wu, S. Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. CoRR (2024)
Mohammad M. Ghassemi, Tuka Alhanai
Machine-arranged Interactions Improve Institutional Belonging and Cohesion. CoRR (2024)
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)
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 (2023)
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 (2023)
Reza Khanmohammadi, Tuka Alhanai, Mohammad M. Ghassemi
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains. CoRR (2023)
Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit. BHI (2023)
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)
Reza Khanmohammadi, Sari Saba-Sadiya, Sina Esfandiarpour, Tuka Alhanai, Mohammad M. Ghassemi
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. CoRR (2022)
Prajjwal Bhattarai, Mohammad M. Ghassemi, Tuka Alhanai
Open-source code repository attributes predict impact of computer science research. JCDL (2022)
Allen R. Williams, Yoolim Jin, Anthony Duer, Tuka Alhanai, Mohammad M. Ghassemi
Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach. CoRR (2022)
Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
Artifact Detection and Correction in EEG data: A Review. NER (2021)
Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. EMNLP (Findings) (2021)
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)
Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mohammad Mahdi Ghassemi, Tuka Alhanai
Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals. CoRR (2021)
Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. CoRR (2021)
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 (2021)
Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
Artifact Detection and Correction in EEG data: A Review. CoRR (2021)
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)
Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
Patient-Specific Sedation Management via Deep Reinforcement Learning. Frontiers Digit. Health 3 (2021)
Abhinav Nadh Thirupathi, Tuka Alhanai, Mohammad M. Ghassemi
A machine learning approach to detect early signs of startup success. ICAIF (2021)
Sari Saba-Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
Feature Imitating Networks. CoRR (2021)
Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
EEG Channel Interpolation Using Deep Encoder-decoder Netwoks. CoRR (2020)
Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
EEG Channel Interpolation Using Deep Encoder-decoder Networks. BIBM (2020)
Sari Saba-Sadiya, Eric Chantland, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
Unsupervised EEG Artifact Detection and Correction. Frontiers Digit. Health 2 (2020)
Tuka Alhanai, Rhoda Au, James R. Glass
Spoken Language Biomarkers for Detecting Cognitive Impairment. CoRR (2017)
Tuka Alhanai, Rhoda Au, James R. Glass
Spoken language biomarkers for detecting cognitive impairment. ASRU (2017)
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)

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Publication Activity (10 Years)

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Tuka Alhanai