Tuka Alhanai - RankMe

44 papers A* 2A 1B 2C 1Misc 2Journal 26Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. ICASSP Chuheng Wu, Seyed Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai
2025	A*	`conf`	Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments. AAAI Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi, Aven Zitzelberger, Jessica M. Lundin, Guillaume Chabot-Couture
2025	A*	`conf`	Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework. AAAI Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
2025	Misc	`conf`	GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation. ICASSP Niloufar Eghbali Zarch, Hassan Bagher-Ebadian, Tuka Alhanai, Mohammad M. Ghassemi
2025	J	`jnl`	GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation. CoRR Niloufar Eghbali, Hassan Bagher-Ebadian, Tuka Alhanai, Mohammad M. Ghassemi
2025	J	`jnl`	Investigating the Temporal Association of Biomedical Research on Small Business Funding: A Bibliometric and Data Analytic Approach. IEEE Trans. Comput. Soc. Syst. Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi
2025	J	`jnl`	Knowledge distillation through geometry-aware representational alignment. CoRR Prajjwal Bhattarai, Mohammad Amjad, Dmytro Zhylko, Tuka Alhanai
2025	J	`jnl`	MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks. CoRR Lotfi Abdelkrim Mecharbat, Alberto Marchisio, Muhammad Shafique, Mohammad M. Ghassemi, Tuka Alhanai
2024	J	`jnl`	An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals. CoRR Chuheng Wu, Seyed Farokh Atashzar, Mohammad M. Ghassemi, Tuka Alhanai
2024	J	`jnl`	Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments. CoRR Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi, Aven Zitzelberger, Jessica M. Lundin, Guillaume Chabot-Couture
2024	J	`jnl`	Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework. CoRR Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
2024	—	`conf`	Feature Imitating Networks Enhance the Performance, Reliability and Speed of Deep Learning on Biomedical Image Processing Tasks. EMBC Shangyang Min, Hassan Bagher-Ebadian, Tuka Alhanai, Mohammad M. Ghassemi
2024	J	`jnl`	Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction. CoRR 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
2024	J	`jnl`	Machine-arranged Interactions Improve Institutional Belonging and Cohesion. CoRR Mohammad M. Ghassemi, Tuka Alhanai
2024	J	`jnl`	MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. SN Comput. Sci. Reza Khanmohammadi, Sari Saba-Sadiya, Sina Esfandiarpour, Tuka Alhanai, Mohammad Mahdi Ghassemi
2024	J	`jnl`	The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments. CoRR Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi
2024	J	`jnl`	The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces. CoRR Costanza Armanini, Tuka Alhanai, Farah E. Shamout, Seyed Farokh Atashzar
2023	A	`conf`	Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations. AAMAS Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai
2023	J	`jnl`	Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks. CoRR Shangyang Min, Mohammad Mahdi Ghassemi, Tuka Alhanai
2023	J	`jnl`	Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. CoRR 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 R. 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
2023	—	`conf`	Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit. BHI Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
2023	J	`jnl`	The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains. CoRR Reza Khanmohammadi, Tuka Alhanai, Mohammad M. Ghassemi
2022	J	`jnl`	MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. CoRR Reza Khanmohammadi, Sari Saba-Sadiya, Sina Esfandiarpour, Tuka Alhanai, Mohammad M. Ghassemi
2022	J	`jnl`	Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach. CoRR Allen R. Williams, Yoolim Jin, Anthony Duer, Tuka Alhanai, Mohammad M. Ghassemi
2022	—	`conf`	Open-source code repository attributes predict impact of computer science research. JCDL Prajjwal Bhattarai, Mohammad M. Ghassemi, Tuka Alhanai
2022	B	`conf`	Speak: A Toolkit Using Amazon Mechanical Turk to Collect and Validate Speech Audio Recordings. LREC Christopher Song, David Harwath, Tuka Alhanai, James R. Glass
2021	—	`conf`	A machine learning approach to detect early signs of startup success. ICAIF Abhinav Nadh Thirupathi, Tuka Alhanai, Mohammad M. Ghassemi
2021	—	`conf`	Artifact Detection and Correction in EEG data: A Review. NER Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
2021	J	`jnl`	Artifact Detection and Correction in EEG data: A Review. CoRR Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
2021	—	`conf`	Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. EMNLP (Findings) Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni
2021	J	`jnl`	Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. CoRR Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni
2021	J	`jnl`	Feature Imitating Networks. CoRR Sari Saba-Sadiya, Tuka Alhanai, Mohammad M. Ghassemi
2021	J	`jnl`	Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals. CoRR Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mohammad Mahdi Ghassemi, Tuka Alhanai
2021	B	`conf`	Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis. HCOMP Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai
2021	J	`jnl`	Patient-Specific Sedation Management via Deep Reinforcement Learning. Frontiers Digit. Health Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi
2021	—	`conf`	SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. EMNLP (Findings) Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi
2021	J	`jnl`	SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. CoRR Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi
2020	J	`jnl`	EEG Channel Interpolation Using Deep Encoder-decoder Netwoks. CoRR Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
2020	—	`conf`	EEG Channel Interpolation Using Deep Encoder-decoder Networks. BIBM Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
2020	J	`jnl`	Unsupervised EEG Artifact Detection and Correction. Frontiers Digit. Health Sari Saba-Sadiya, Eric Chantland, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
2019	—	`—`	Detecting cognitive impairment from spoken language. Tuka Alhanai
2017	—	`conf`	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 Mohammad M. Ghassemi, Willow Jarvis, Tuka Alhanai, Emery N. Brown, Roger G. Mark, M. Brandon Westover
2017	J	`jnl`	Spoken Language Biomarkers for Detecting Cognitive Impairment. CoRR Tuka Alhanai, Rhoda Au, James R. Glass
2017	C	`conf`	Spoken language biomarkers for detecting cognitive impairment. ASRU Tuka Alhanai, Rhoda Au, James R. Glass