Publications

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

2021

A roadmap to robust science for high-throughput applications: The developers’ perspective

Michela Taufer, Ewa Deelman, R Ferreira da Silva, Trilce Estrada, M Hall, Miron Livny
2021 IEEE International Conference on Cluster Computing (CLUSTER), 807-808,  2021

Assessing resource provisioning and allocation of ensembles of in situ workflows

Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman
50th International Conference on Parallel Processing Workshop, 1-10,  2021

Anomaly detection in scientific workflows using end-to-end execution gantt charts and convolutional neural networks

Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman
Practice and Experience in Advanced Research Computing, 1-5,  2021

System and methods for graphic encoding of macromolecules for efficient high-throughput analysis

TP ESTRADA-PIEDRA, J Benson, H Carrillo-cabada, E Deelman, ...
US Patent App. 16/761,663,  2021

Mining workflows for anomalous data transfers

Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …,  2021

Network security using inflated files for anomaly detection

MK Monaco, D Negron, B Satira, M Collins
US Patent 10,924,502,  2021

End-to-end generative zero-shot learning via few-shot learning

Georgios Chochlakis, Efthymios Georgiou, Alexandros Potamianos
arXiv preprint arXiv:2102.04379,  2021

Investigating transfer learning for characterization and performance prediction in unconventional reservoirs

Jodel Cornelio, Syamil Mohd Razak, Atefeh Jahandideh, Behnam Jafarpour, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya
SPE Middle East Oil and Gas Show and Conference, D031S031R007,  2021

Integrating deep learning and physics-based models for improved production prediction in unconventional reservoirs

Syamil Mohd Razak, Jodel Cornelio, Atefeh Jahandideh, Behnam Jafarpour, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya
SPE Middle East Oil and Gas Show and Conference, D031S031R003,  2021

Physics-assisted transfer learning for production prediction in unconventional reservoirs

J Cornelio, S Mohd Razak, A Jahandideh, Y Cho, HH Liu, R Vaidya, B Jafarpour
Unconventional Resources Technology Conference, 26–28 July 2021, 3669-3682,  2021

A physics-guided deep learning predictive model for robust production forecasting and diagnostics in unconventional wells

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Unconventional Resources Technology Conference, 26–28 July 2021, 1843-1850,  2021

Digital signal transition counters for digital integrated circuits

YH Cho, SS Bhargav, A Goodney
US Patent 10,963,026,  2021

Pervasive power generation system

Y Cho, D Rae, C Webb, G LaFramboise, L Olabinjo, A Goodney
US Patent 10,910,962,  2021

Agenda Pushing in Email to Thwart Phishing

Hyundong Cho, Genevieve Bartlett, Marjorie Freedman
Proceedings of the 1st Workshop on Document-grounded Dialogue and …,  2021

Probing Commonsense Explanation in Dialogue Response Generation

Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren
EMNLP 2021 Findings,  2021

WIRE: Resource-efficient scaling with online prediction for DAG-based workflows

Bing Xie, Qiang Cao, Mayuresh Kunjir, Linli Wan, Jeff Chase, Anirban Mandal, Mats Rynge
2021 IEEE International Conference on Cluster Computing (CLUSTER), 35-46,  2021

De novo 3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures

Ramya Rangan, Andrew M Watkins, Jose Chacon, Rachael Kretsch, Wipapat Kladwang, Ivan N Zheludev, Jill Townley, Mats Rynge, Gregory Thain, Rhiju Das
Nucleic acids research 49 (6), 3092-3108,  2021

User-friendly comparison of similarity algorithms on wikidata

Filip Ilievski, Pedro Szekely, Gleb Satyukov, Amandeep Singh
arXiv preprint arXiv:2108.05410,  2021

Model-Adaptive Interface Generation for Data-Driven Discovery

Hongsuda Tangmunarunkit, Aref Shafaeibejestan, Joshua Chudy, Karl Czajkowski, Robert Schuler, Carl Kesselman
arXiv preprint arXiv:2110.01781,  2021

CHiSEL: a user-oriented framework for simplifing database evolution

Robert Schuler, Carl Kesselman
Distributed and Parallel Databases 39 (2), 483-543,  2021