Mike D'Arcy

According to our database, Mike D'Arcy authored at least 20 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MARG: Multi-Agent Review Generation for Scientific Papers.

Mike D'Arcy, Tom Hope, Larry Birnbaum, Doug Downey

CoRR, 2024

Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models.

Zhiwei Li, Carl Kesselman, Mike D'Arcy, Michael Pazzani, Benjamin Yizing Xu

Proceedings of the 20th IEEE International Conference on e-Science, 2024

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews.

Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations.

Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Embedding Recycling for Language Models.

Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2020

An Open Ecosystem for Pervasive Use of Persistent Identifiers.

Rachana Ananthakrishnan, Kyle Chard, Mike D'Arcy, Ian T. Foster, Carl Kesselman, Brendan McCollam, Jim Pruyne, Philippe Rocca-Serra, Robert Schuler, Rick Wagner

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Towards Co-Evolution of Data-Centric Ecosystems.

Robert Schuler, Karl Czajkowski, Mike D'Arcy, Hongsuda Tangmunarunkit, Carl Kesselman

Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020

2019

CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense.

Michael Chen, Mike D'Arcy, Alisa Liu, Jared Fernandez, Doug Downey

CoRR, 2019

Big Data Bags: A Scalable Packaging Format for Science.

Mike D'Arcy, Kyle Chard, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Nickolaus D. Saint, Rick Wagner

Proceedings of Workshop on Research Objects (RO2019), 2019

DeepMoTIon: Learning to Navigate Like Humans.

Mahmoud Hamandi, Mike D'Arcy, Pooyan Fazli

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

2018

Neuroanatomical morphometric characterization of sex differences in youth using statistical learning.

Farshid Sepehrband, Kirsten M. Lynch, Ryan P. Cabeen, Clio González-Zacarías, Lu Zhao, Mike D'Arcy, Carl Kesselman, Megan M. Herting, Ivo D. Dinov, Arthur W. Toga, Kristi Clark

NeuroImage, 2018

Reproducible big data science: A case study in continuous FAIRness.

Ravi K. Madduri, Kyle Chard, Michel D'Arcy, Segun Jung, Alexis A. Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory C. Funk, Benjamin D. Heavner, Matthew A. Richards, Paul Shannon, Gustavo Glusman, Nathan D. Price, Carl Kesselman, Ian T. Foster

Proceedings of Workshop on Research Objects (RO2018), 2018

2017

Setting Up the Beam for Human-Centered Service Tasks.

Utkarsh Patel, Emre Hatay, Mike D'Arcy, Ghazal Zand, Pooyan Fazli

CoRR, 2017

Safe navigation in dynamic, unknown, continuous, and cluttered environments.

Mike D'Arcy, Pooyan Fazli, Dan Simon

Proceedings of the IEEE International Symposium on Safety, Security and Rescue Robotics, 2017

Beam: A Collaborative Autonomous Mobile Service Robot.

Utkarsh Patel, Emre Hatay, Mike D'Arcy, Ghazal Zand, Pooyan Fazli

Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016

I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets.

Kyle Chard, Mike D'Arcy, Benjamin D. Heavner, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Alexis A. Rodriguez, Stian Soiland-Reyes, Carole A. Goble, Kristi Clark, Eric W. Deutsch, Ivo D. Dinov, Nathan D. Price, Arthur W. Toga

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.

Daniella Meeker, Xiaoqian Jiang, Michael E. Matheny, Claudiu Farcas, Michel D'Arcy, Laura Pearlman, Lavanya Nookala, Michele E. Day, Katherine K. Kim, Hyeoneui Kim, Aziz A. Boxwala, Robert E. El-Kareh, Grace Kuo, Frederic S. Resnic, Carl Kesselman, Lucila Ohno-Machado

J. Am. Medical Informatics Assoc., 2015

2012

A System Architecture for Sharing De-Identified, Research-Ready Brain Scans and Health Information Across Clinical Imaging Centers.

Ann L. Chervenak, Theo G. M. van Erp, Carl Kesselman, Mike D'Arcy, Janet Sobell, David B. Keator, Lisa Dahm, Jim Murry, Meng Law, Anton N. Hasso, Joseph Ames, Fabio Macciardi, Steven G. Potkin

Proceedings of the HealthGrid Applications and Technologies Meet Science Gateways for Life Sciences, 2012

2011

Infrastructure for sharing standardized clinical brain scans across hospitals.

Theo G. M. van Erp, Ann L. Chervenak, Carl Kesselman, Mike D'Arcy, Janet Sobell, David B. Keator, Lisa Dahm, Jim Murry, Meng Law, Anton N. Hasso, Joseph Ames, Fabio Macciardi, Steven G. Potkin

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2006

Monitoring the Earth System Grid with MDS4.

Ann L. Chervenak, Jennifer M. Schopf, Laura Pearlman, Mei-Hui Su, Shishir Bharathi, Luca Cinquini, Mike D'Arcy, Neill Miller, David E. Bernholdt

Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006