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 (e-Science, 2006)

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; et al. (BIBM Workshops, 2011)

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; et al. (HealthGrid, 2012)

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; et al. (J. Am. Medical Informatics Assoc., 2015)

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; et al. (IEEE BigData, 2016)

Beam: A Collaborative Autonomous Mobile Service Robot. - Utkarsh Patel; Emre Hatay; Mike D'Arcy; Ghazal Zand; Pooyan Fazli (AAAI Fall Symposia, 2017)

Safe navigation in dynamic, unknown, continuous, and cluttered environments. - Mike D'Arcy; Pooyan Fazli; Dan Simon (SSRR, 2017)

Setting Up the Beam for Human-Centered Service Tasks. - Utkarsh Patel; Emre Hatay; Mike D'Arcy; Ghazal Zand; Pooyan Fazli (CoRR, 2017)

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; et al. (RO, 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)

DeepMoTIon: Learning to Navigate Like Humans. - Mahmoud Hamandi; Mike D'Arcy; Pooyan Fazli (RO-MAN, 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 (RO, 2019)

CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense. - Michael Chen; Mike D'Arcy; Alisa Liu; Jared Fernandez; Doug Downey (CoRR, 2019)

Towards Co-Evolution of Data-Centric Ecosystems. - Robert Schuler; Karl Czajkowski; Mike D'Arcy; Hongsuda Tangmunarunkit; Carl Kesselman (SSDBM, 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 (PEARC, 2020)

Embedding Recycling for Language Models. - Jon Saad-Falcon; Amanpreet Singh; Luca Soldaini; Mike D'Arcy; Arman Cohan; Doug Downey (EACL (Findings), 2023)

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. - Amanpreet Singh; Mike D'Arcy; Arman Cohan; Doug Downey; Sergey Feldman (EMNLP, 2023)

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 (ACL (1), 2024)

Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models. - Zhiwei Li; Carl Kesselman; Mike D'Arcy; Michael Pazzani; Benjamin Yizing Xu (e-Science, 2024)

MARG: Multi-Agent Review Generation for Scientific Papers. - Mike D'Arcy; Tom Hope; Larry Birnbaum; Doug Downey (CoRR, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)

AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite. - Jonathan Bragg; Mike D'Arcy; Nishant Balepur; Dan Bareket; Bhavana Dalvi; Sergey Feldman; Dany Haddad; Jena D. Hwang; Peter A. Jansen; Varsha Kishore; Bodhisattwa Prasad Majumder; Aakanksha Naik; et al. (CoRR, 2025)