Tuka Alhanai

Tuka Alhanai

New York University

H-index: 13

North America-United States

About Tuka Alhanai

Tuka Alhanai, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at New York University, specializes in the field of machine learning, computer science, signal processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using a data-driven approach to define post-COVID conditions in US electronic health record data

The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments

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

The broad impact of feature imitation: Neural enhancements across financial, speech, and physiological domains

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks

Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations

Author Correction: Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Tuka Alhanai Information

University

Position

New York University Abu Dhabi

Citations(all)

692

Citations(since 2020)

618

Cited By

225

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Tuka Alhanai Skills & Research Interests

machine learning

computer science

signal processing

Top articles of Tuka Alhanai

Using a data-driven approach to define post-COVID conditions in US electronic health record data

Plos one

2024/4/5

Tuka Alhanai
Tuka Alhanai

H-Index: 8

The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments

arXiv preprint arXiv:2401.00942

2024/1/1

Tuka Alhanai
Tuka Alhanai

H-Index: 8

Ivan Brugere
Ivan Brugere

H-Index: 8

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

2023/10/15

Tuka Alhanai
Tuka Alhanai

H-Index: 8

The broad impact of feature imitation: Neural enhancements across financial, speech, and physiological domains

arXiv preprint arXiv:2309.12279

2023/9/21

Tuka Alhanai
Tuka Alhanai

H-Index: 8

Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks

arXiv preprint arXiv:2306.14572

2023/6/26

Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations

2023/5/30

Lujain Ibrahim
Lujain Ibrahim

H-Index: 1

Tuka Alhanai
Tuka Alhanai

H-Index: 8

MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs

arXiv preprint arXiv:2210.17060

2022/10/31

Sina Esfandiarpour
Sina Esfandiarpour

H-Index: 1

Tuka Alhanai
Tuka Alhanai

H-Index: 8

Cognitive digital biomarkers from automated transcription of spoken language

The journal of prevention of Alzheimer's disease

2022/10

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

2022/6/20

Tuka Alhanai
Tuka Alhanai

H-Index: 8

Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach

Risks

2022/6/7

Speak: A toolkit using amazon mechanical turk to collect and validate speech audio recordings

2022/6

Tuka Alhanai
Tuka Alhanai

H-Index: 8

James Glass
James Glass

H-Index: 49

Feature imitating networks

2022/5/23

Tuka Alhanai
Tuka Alhanai

H-Index: 8

Unsupervised EEG artifact detection and correction

Frontiers in Digital Health

2021/1/22

Tuka Alhanai
Tuka Alhanai

H-Index: 8

Taosheng Liu
Taosheng Liu

H-Index: 20

A machine learning approach to detect early signs of startup success

2021/11/3

Tuka Alhanai
Tuka Alhanai

H-Index: 8

Fetal gender identification using machine and deep learning algorithms on phonocardiogram signals

arXiv preprint arXiv:2110.06131

2021/10/10

Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: a Conjoint Analysis

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

2021/10/4

Lujain Ibrahim
Lujain Ibrahim

H-Index: 1

Tuka Alhanai
Tuka Alhanai

H-Index: 8

Supcl-seq: Supervised contrastive learning for downstream optimized sequence representations

arXiv preprint arXiv:2109.07424

2021/9/15

Exploring a unified sequence-to-sequence transformer for medical product safety monitoring in social media

arXiv preprint arXiv:2109.05815

2021/9/13

See List of Professors in Tuka Alhanai University(New York University)