Publications

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

2024

Workflows community summit 2024: Future trends and challenges in scientific workflows

Rafael Ferreira Da Silva, Deborah Bard, Kyle Chard, Shaun de Witt, Ian T Foster, Tom Gibbs, Carole Goble, William Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan Ward, Sean Wilkinson, Marcos Amaris, Yadu Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caino-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Taina Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Luettgau, Richard Lupat, Jose M Fernandez, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Noelp, Bruno P Kinoshita, Ryan Prout, Michael R Crusoe, Sashko Ristov, Stefan Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raul Sirvent, Tyler Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan Tallent, Lauritz Thamsen, Mikhail Titov, Benjamin Tovar, Karan Vahi, Eric Vardar-Irrgang, Edite Vartina, Yuandou Wang, Merridee Wouters, Qi Yu, Ziad Al Bkhetan, Mahnoor Zulfiqar
arXiv preprint arXiv:2410.14943,  2024

AVOID: Automatic Verification Of Internet Data-paths

Alexander Marder, Jon Larrea, Kc Claffy, Erik Kline, Kyle Jamieson, Bradley Huffaker, Lincoln Thurlow, Matthew Luckie
MILCOM 2024-2024 IEEE Military Communications Conference (MILCOM), 647-648,  2024

REVEAL: Real-time Evaluation and Verification of External Adversarial Links

Alexander Marder, Jon Larrea, Kc Claffy, Erik Kline, Kyle Jamieson, Bradley Huffaker, Lincoln Thurlow, Matthew Luckie
MILCOM 2024-2024 IEEE Military Communications Conference (MILCOM), 1106-1111,  2024

Contextualizing Internet Memes Across Social Media Platforms

Saurav Joshi, Filip Ilievski, Luca Luceri
In the Companion Proceedings of The Web Conference 2024 Best Paper Award …,  2024

Social Approval and Network Homophily as Motivators of Online Toxicity

Julie Jiang, Luca Luceri, Joseph B Walther, Emilio Ferrara
arXiv preprint arXiv:2310.07779,  2024

Automatically Constructing Geospatial Feature Taxonomies from OpenStreetMap Data

Basel Shbita, Craig A Knoblock
2024 IEEE 18th International Conference on Semantic Computing (ICSC), 208-211,  2024

Using representation learning and web text to identify competitor networks

Gerard Hoberg, Craig Knoblock, Gordon Phillips, Jay Pujara, Zhiqiang Qiu, Louiqa Raschid
2024

Impacts of Personalization on Social Network Exposure

Nathan Bartley, Keith Burghardt, Kristina Lerman
International Conference on Advances in Social Networks Analysis and Mining …,  2024

Virtual Network Embedding as Boolean Satisfiability

Pavel Surynek, Yi Zheng, Erik Kline, Sven Koenig, TK Satish Kumar
2024 IEEE 36th International Conference on Tools with Artificial …,  2024

Timely Wildfire Perimeter Mapping for Unmanned Aerial Platforms

Andrew Rittenbach, Connor Imes, John Paul Walters
Applied Industrial Spectroscopy, FD1. 7,  2024

Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network

Connor Imes, Andrew Rittenbach, Peng Xie, Dong In D Kang, John Paul Walters, Stephen P Crago
Proceedings of the 4th Workshop on Machine Learning and Systems, 169-175,  2024

Joint proceedings of the 3rd International workshop on knowledge graph generation from text (TEXT2KG) and Data Quality meets Machine Learning and Knowledge Graphs (DQMLKG): co …

Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Maria Angela Pellegrino, Anisa Rula, José Emilio Labra Gayo, Michael Cochez, Mehwish Alam
CEUR-WS. org,  2024

Large Language Models Help Reveal Unhealthy Diet and Body Concerns in Online Eating Disorders Communities

Minh Duc Chu, Zihao He, Rebecca Dorn, Kristina Lerman
arXiv preprint arXiv:2401.09647,  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