Publications

This section contains publications published by ISI over the past several decades.

2024

Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches

Xiang Ren, Zhongyuan Mi, Panos G Georgopoulos
Journal of Exposure Science & Environmental Epidemiology 34 (2), 197-207,  2024

Expert-Level Detection of Referable Glaucoma from Fundus Photographs in a Safety Net Population: The AI and Teleophthalmology in Los Angeles Initiative

Van Nguyen, Sreenidhi Iyengar, Haroon Rasheed, Galo Apolo, Zhiwei Li, Aniket Kumar, Hong Nguyen, Austin Bohner, Rahul Dhodapkar, Jiun Do, Andrew Duong, Jeffrey Gluckstein, Kendra Hong, Lucas Humayun, Alanna James, Junhui Lee, Kent Nguyen, Brandon Wong, Jose-Luis Ambite, Carl Kesselman, Lauren Daskivich, Michael Pazzani, Benjamin Y Xu
medRxiv.08. 25.24312563,  2024

PatentEdits: Framing Patent Novelty as Textual Entailment

Ryan Lee, Alexander Spangher, Xuezhe Ma
arXiv preprint arXiv:2411.13477,  2024

Systematic Study of Dysarthric Speech Recognition: Spectral Features and Acoustic Models

Paban Sapkota, Hemant Kumar Kathania, Mikko Kurimo, Sudarsana Reddy Kadiri, Shrikanth Narayanan
2024 58th Asilomar Conference on Signals, Systems, and Computers, 303-307,  2024

Improving end-to-end speech recognition for dysarthric speech through in-domain data augmentation

Paban Sapkota, Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Shrikanth Narayanan
2024 58th Asilomar Conference on Signals, Systems, and Computers, 345-349,  2024

A federated learning architecture for secure and private neuroimaging analysis

Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil Dhinagar, Tanmay Ghai, Chrysovalantis Anastasiou, Rafael Sánchez, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M Thompson, Jose-Luis Ambite
Patterns 5 (8), 101031,  2024

Advances in CyberShake Physics-Based Probabilistic Seismic Hazard Analysis

Scott Callaghan, Philip J Maechling, Fabio Silva, Christine Goulet, Kevin Milner, Mei-Hui Su, Xiaofeng Meng, Camilo Pinilla-Ramos, Kim Bak Olsen, Robert W Graves, Norm A Abrahamson, Albert Kottke, Karan Vahi, Ewa Deelman, Thomas H Jordan, Yehuda Ben-Zion
AGU Fall Meeting Abstracts 2024, S12B-01,  2024

Learning, Optimization, and Implementation for Circuits and Systems Driven by AI: A Special Issue Editorial

Yang Tang, Peter A Beerel, Jürgen Kurths, Guanrong Chen
< bound method Organization. get_name_with_acronym of< Organization: Potsdam …,  2024

SWARM: Reimagining scientific workflow management systems in a distributed world

Prasanna Balaprakash, Krishnan Raghavan, Franck Cappello, Ewa Deelman, Anirban Mandal, Hongwei Jin, Imtiaz Mahmud, Komal Thareja, Shixun Wu, Pawel Zuk, Mariam Kiran, Zizhong Chen, Sheng Di, Kesheng Wu
The International Journal of High Performance Computing Applications …,  2024

Redacted Contextual Question Answering with Generative Large Language Models

Jacob Lichtefeld, Joe A Cecil, Alex Hedges, Jeremy Abramson, Marjorie Freedman
Proceedings of the First International Conference on Natural Language …,  2024

OAC Core: Edge to Cloud Workflows: Advancing Workflow Management in the Computing Continuum

Ewa Deelman
NSF Award Number 2403051. Directorate for Computer and Information Science …,  2024

Collaborative Research: Elements: TUPS: Table Understanding for Paleoclimate Studies

Deborah Khider
NSF Award Number 2411267. Directorate for Computer and Information Science …,  2024

SCC-IRG Track 2: Food Environment Dynamics (FED): Leveraging AI and Human Mobility Data to Address Disparities in Food Access and Improve Americans' Diets

Abigail L Horn
NSF Award Number 2427150. Directorate for Computer and Information Science …,  2024

Conference: SafeSpace: A Cybersecurity Workshop for Space

Alefiya Hussain
NSF Award Number 2422664. Directorate for Computer and Information Science …,  2024

Real time detection and identification of fish quality using low-power multimodal artificial olfaction system

Sicheng Liu, Guoquan Sun, Xiang Ren, Yuxiang Qin
Talanta 279, 126601,  2024

Txt360: A top-quality llm pre-training dataset requires the perfect blend

Liping Tang, Nikhil Ranjan, Omkar Pangarkar, Xuezhi Liang, Zhen Wang, Li An, Bhaskar Rao, Linghao Jin, Huijuan Wang, Zhoujun Cheng, Suqi Sun, Cun Mu, Victor Miller, Xuezhe Ma, Yue Peng, Zhengzhong Liu, Eric P Xing
2024

Biased Bots: An Empirical Demonstration of How AI Bias Could Compromise Mental Healthcare

Adela Timmons, Kexin Feng, Kayla Carta, Sierra Walters, Grace Jumonville, Alyssa Carrasco, Gabrielle Freitag, Daniela Romero, Gayla Margolin, Shrikanth Narayanan, Jonathan Comer, Matthew Ahle
OSF,  2024

Emotion-aware speech popularity prediction: a use-case on TED talks

Dimitrios Sgouropoulos, Petros Mitseas, Sofia Eleftheriou, Theodoros Giannakopoulos, Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Athanasios Katsamanis, Shrikanth Narayanan
2024 12th International Conference on Affective Computing and Intelligent …,  2024

ROBUSER: A robustness benchmark for Speech Emotion Recognition

Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Sofia Eleftheriou, Petros Mitseas, Dimitris Sgouropoulos, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan
2024 12th International Conference on Affective Computing and Intelligent …,  2024