Labeled Trees and the Efficient Computation of Derivations. - Robert L. Grossman; Richard G. Larson (ISSAC, 1989)

Computations Involving Differential Operators and Their Actions on Functions. - Peter E. Crouch; Robert L. Grossman; Richard G. Larson (ISSAC, 1991)

Some Remarks About Flows in Hybrid Systems. - Robert L. Grossman; Richard G. Larson (Hybrid Systems, 1992)

Introduction. - Robert L. Grossman; Anil Nerode; Anders P. Ravn; Hans Rischel (Hybrid Systems, 1992)

The Explicit Computation of Integration Algorithms and First Integrals for Ordinary Differential Equations with Polynomial Coefficients Using Trees. - Peter E. Crouch; Robert L. Grossman (ISSAC, 1992)

Symbolic Computation of Derivations Using Labeled Trees. - Robert L. Grossman; Richard G. Larson (J. Symb. Comput., 1992)

Panel: Scientific Databases. - Robert L. Grossman; Yannis E. Ioannidis; Edward N. May; Sakti Pramanik; Ruth Pordes (FODO, 1993)

A proof-of-concept implementation interfacing an object manager with a hierarchical storage system. - Robert L. Grossman; Xiao Qin 006; D. Lifka (MSS, 1993)

Requirements for a system to analyze high energy physics events using database computing. - Edward N. May; D. Lifka; E. Lusk; L. E. Price; C. T. Day; Stewart C. Loken; J. F. MacFarlane; A. Baden; Robert L. Grossman; X. Qin; L. Cormell; A. Gauthier; et al. (MSS, 1993)

Wavelet transforms associated with finite cyclic groups. - Giuseppe Caire; Robert L. Grossman; H. Vincent Poor (IEEE Trans. Inf. Theory, 1993)

Hybrid Systems and Quantum Automata: Preliminary Announcement. - Robert L. Grossman; M. Sweedler (Hybrid Systems, 1994)

Managing Physical Folios of Objects Between Nodes. - Robert L. Grossman; N. Araujo; Xiao Qin 006; Wen Xu (POS, 1994)

Ptool: A Scalable Persistent Object Manager. - Robert L. Grossman; Xiao Qin 006 (SIGMOD Conference, 1994)

Analyzing High Energy Physics Data Using Databases: A Case Study. - Robert L. Grossman; Xiao Qin 006; D. Valsamis; Wen Xu; Christopher T. Day; Stewart C. Loken; J. F. MacFarlane; David R. Quarrie; Edward N. May; David Lifka; David M. Malon; L. E. Price; et al. (SSDBM, 1994)

Visibility with a Moving Point of View. - Marshall W. Bern; David P. Dobkin; David Eppstein; Robert L. Grossman (Algorithmica, 1994)

Lightweight video service for multi-media digital libraries. - Shitij Mutreja; Stuart Bailey; Robert L. Grossman; David Hanley (CASCON, 1995)

A Data Intensive Computing Approach to Path Planning and Mode Management for Hybrid Systems. - Stuart Bailey; Robert L. Grossman; L. Gu; David Hanley (Hybrid Systems, 1995)

The Symbolic Computation of Differential Invariants of Polynomial Vector Field Systems Using Trees. - M. J. Doffou; Robert L. Grossman (ISSAC, 1995)

Caching and Migration for Multilevel Persistent Object Stores. - Robert L. Grossman; David Hanley; Xiao Qin 006 (IEEE Symposium on Mass Storage Systems, 1995)

An Architecture for a Scalable, High-Performance Digital Library. - Robert L. Grossman; Xiao Qin 006; Wen Xu; Harry Hulen; Terry Tyler (IEEE Symposium on Mass Storage Systems, 1995)

PTool: A Light Weight Persistent Object Manager. - Robert L. Grossman; David Hanley; Xiao Qin 006 (SIGMOD Conference, 1995)

Clusters, meta-clusters, and digital libraries: digital libraries for scientific, engineering and medical applications. - Stuart Bailey; Robert L. Grossman; David Hanley (SIGWEB Newsl., 1995)

An Algebraic Approach to Hybrid Systems. - Robert L. Grossman; Richard G. Larson (Theor. Comput. Sci., 1995)

Optimization driven data mining and credit scoring. - Robert L. Grossman; H. Vincent Poor (CIFEr, 1996)

Data Mining and Tree-Based Optimization. - Robert L. Grossman; Haim Bodek; Dave Northcutt; H. Vincent Poor (KDD, 1996)

Data Mining Using Light Weight Object Management in Clustered Computing Environments. - Robert L. Grossman; Stuart Bailey; David Hanley (POS, 1996)

Database Mining Challenges for Digital Libraries. - Robert L. Grossman (ACM Comput. Surv., 1996)

A Tutorial Introduction to High Performance Data Mining (Abstract). - Robert L. Grossman (PKDD, 1997)

A Methodology for Supporting Collaborative Exploratory Analysis of Massive Data Sets in Tele-Immersive Environments. - Jason Leigh; Andrew E. Johnson 001; Thomas A. DeFanti; Stuart Bailey; Robert L. Grossman (HPDC, 1999)

A High Performance Implementation of the Data Space Transfer Protocol (DSTP). - Stuart Bailey; Emory Creel; Robert L. Grossman; Srinath Gutti; Harimath Sivakumar (Large-Scale Parallel Data Mining, 1999)

Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters. - Stuart Bailey; Robert L. Grossman; Harimath Sivakumar; Andrei L. Turinsky (SC, 1999)

Editorial. - Yike Guo; Robert L. Grossman (Data Min. Knowl. Discov., 1999)

The management and mining of multiple predictive models using the predictive modeling markup language. - Robert L. Grossman; Stuart Bailey; Ashok Ramu; Balinder Malhi; Philip Hallstrom; Ivan Pulleyn; Xiao Qin 006 (Inf. Softw. Technol., 1999)

Performance of DB2 Enterprise-Extended Edition on NT with Virtual Interface Architecture. - Sivakumar Harinath; Robert L. Grossman; K. Bernhard Schiefer; Xun Xue; Sadique Syed (EDBT, 2000)

PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks. - Harimath Sivakumar; Stuart Bailey; Robert L. Grossman (SC, 2000)

An Algebraic Approach to Data Mining: Some Examples. - Robert L. Grossman; Richard G. Larson (ICDM, 2002)

Merging multiple data streams on common keys over high performance networks. - Marco Mazzucco; Asvin Ananthanarayan; Robert L. Grossman; Jorge Levera; Gokulnath Bhagavantha Rao (SC, 2002)

Data mining standards initiatives. - Robert L. Grossman; Mark F. Hornick; Gregor Meyer (Commun. ACM, 2002)

DataSpace: a data Web for the exploratory analysis and mining of data. - Robert L. Grossman; Marco Mazzucco (Comput. Sci. Eng., 2002)

Experimental Studies of the Universal Chemical Key (UCK)Algorithm on the NCI Database of Chemical Compounds. - Robert L. Grossman; Pavan Kasturi; Donald Hamelberg; Bing Liu 001 (CSB, 2003)

Mining data records in Web pages. - Bing Liu 001; Robert L. Grossman; Yanhong Zhai (KDD, 2003)

A Case for the Global Access to Large Distributed Data Sets Using Data Webs Employing Photonic Data Services. - Robert L. Grossman; Yunhong Gu; David Hanley; Xinwei Hong; Jorge Levera; Marco Mazzucco; Dave Lillethun; Joe Mambretti; Jeremy Weinberger (IEEE Symposium on Mass Storage Systems, 2003)

Transport protocols for high performance. - Aaron Falk; Theodore Faber; Joseph A. Bannister; Andrew A. Chien; Robert L. Grossman; Jason Leigh (Commun. ACM, 2003)

Data integration in a bandwidth-rich world. - Ian T. Foster; Robert L. Grossman (Commun. ACM, 2003)

Experimental studies using photonic data services at IGrid 2002. - Robert L. Grossman; Yunhong Gu; Don Hamelburg; David Hanley; Xinwei Hong; Jorge Levera; Dave Lillethun; Marco Mazzucco; Joe Mambretti; Jeremy Weinberger (Future Gener. Comput. Syst., 2003)

The Photonic TeraStream: enabling next generation applications through intelligent optical networking at iGRID2002. - Joe Mambretti; Jeremy Weinberger; Jim Hao Chen; Elizabeth Bacon; Fei Yeh; Dave Lillethun; Robert L. Grossman; Yunhong Gu; Marco Mazzucco (Future Gener. Comput. Syst., 2003)

TeraScope: distributed visual data mining of terascale data sets over photonic networks. - Chong Zhang; Jason Leigh; Thomas A. DeFanti; Marco Mazzucco; Robert L. Grossman (Future Gener. Comput. Syst., 2003)

SABUL: A Transport Protocol for Grid Computing. - Yunhong Gu; Robert L. Grossman (J. Grid Comput., 2003)

Data webs for earth science data. - Asvin Ananthanarayan; Rajiv Balachandran; Robert L. Grossman; Yunhong Gu; Xinwei Hong; Jorge Levera; Marco Mazzucco (Parallel Comput., 2003)

KDD-2003 workshop on data mining standards, services and platforms (DM-SSP 03). - Robert L. Grossman (SIGKDD Explor., 2003)

A Greedy Algorithm for Selecting Models in Ensembles. - Andrei L. Turinsky; Robert L. Grossman (ICDM, 2004)

Experimental Studies Using Median Polish Procedure to Reduce Alarm Rates in Data Cubes of Intrusion Data. - Jorge Levera; Benjamín Barán; Robert L. Grossman (ISI, 2004)

Using DataSpace Archives to Support Long-Term Stewardship of Remote and Distributed Data. - Robert L. Grossman; David Hanley; Xinwei Hong; Parthasarathy Krishnaswamy (MSST, 2004)

Experiences in Design and Implementation of a High Performance Transport Protocol. - Yunhong Gu; Xinwei Hong; Robert L. Grossman (SC, 2004)

GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering. - Chetan Gupta 001; Robert L. Grossman (SDM, 2004)

Experimental studies of data transport and data access of earth-science data over networks with high bandwidth delay products. - Robert L. Grossman; Yunhong Gu; David Hanley; Xinwei Hong; Babu Krishnaswamy (Comput. Networks, 2004)

Mining Web Pages for Data Records. - Bing Liu 001; Robert L. Grossman; Yanhong Zhai (IEEE Intell. Syst., 2004)

An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds. - Robert L. Grossman; Pavan Kasturi; Donald Hamelberg; Bing Liu 001 (J. Bioinform. Comput. Biol., 2004)

Data mining standards, services, and platforms 2004 (DM-SSP 2004). - Robert L. Grossman (SIGKDD Explor., 2004)

Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples. - Greeshma Neglur; Robert L. Grossman; Bing Liu 001 (DILS, 2005)

Graph-Theoretic Scagnostics. - Leland Wilkinson; Anushka Anand; Robert L. Grossman (INFOVIS, 2005)

A Methodology for Establishing Information Quality Baselines for Complex, Distributed Systems. - Joseph Bugajski; Robert L. Grossman; Eric E. Sumner Jr.; Tao Zhang (ICIQ, 2005)

An event based framework for improving information quality that integrates baseline models, causal models and formal reference models. - Joseph Bugajski; Robert L. Grossman; Eric E. Sumner Jr.; Zhao Tang (IQIS, 2005)

Real Time Change Detection and Alerts from Highway Traffic Data. - Robert L. Grossman; Michal Sabala; Anushka Anand; Steve Eick; Leland Wilkinson; Pei Zhang; John Chaves; Steve Vejcik; John F. Dillenburg; Peter C. Nelson; Doug Rorem; Javid Alimohideen; et al. (SC, 2005)

Supporting Configurable Congestion Control in Data Transport Services. - Yunhong Gu; Robert L. Grossman (SC, 2005)

Visual browsing of remote and distributed data. - Parthasarathy Krishnaswamy; Stephen G. Eick; Robert L. Grossman (Visualization and Data Analysis, 2005)

Differential algebra structures on families of trees. - Robert L. Grossman; Richard G. Larson (Adv. Appl. Math., 2005)

Teraflows over Gigabit WANs with UDT. - Robert L. Grossman; Yunhong Gu; Xinwei Hong; Antony Antony; Johan Blom; Freek Dijkstra; Cees de Laat (Future Gener. Comput. Syst., 2005)

Simple Available Bandwidth Utilization Library for High-Speed Wide Area Networks. - Robert L. Grossman; Marco Mazzucco; Harimath Sivakumar; Y. Pan; Q. Zhang (J. Supercomput., 2005)

SDCS: Simplified Data Communications in Parallel/Distributed Applications. - Yong Mao; Yunhong Gu; Jia Chen; Robert L. Grossman (CCGRID, 2006)

Using Term Lists and Inverted Files to Improve Search Speed for Metabolic Pathway Databases. - Greeshma Neglur; Robert L. Grossman; Natalia Maltsev; Clement T. Yu (DILS, 2006)

Distributing the Sloan Digital Sky Survey Using UDT and Sector. - Yunhong Gu; Robert L. Grossman; Alexander S. Szalay; Ani Thakar (e-Science, 2006)

A Service Oriented Architecture Supporting Data Interoperability for Payments Card Processing Systems. - Joseph Bugajski; Robert L. Grossman; Steve Vejcik (ICSOC, 2006)

Monitoring Data Quality for Very High Volume Transaction Systems. - Joseph Bugajski; Robert L. Grossman; Eric E. Sumner Jr.; Steve Vejcik (ICIQ, 2006)

Bandwidth challenge - Transporting sloan digital sky survey data using SECTOR. - Robert L. Grossman; Yunhong Gu; Michal Sabala; Shirley Connelly; David Hanley; Joe Mambretti; Alexander S. Szalay; Ani Thakar; Jan vandenBerg; Alainna Wonders (SC, 2006)

Data mining middleware for wide-area high-performance networks. - Robert L. Grossman; Yunhong Gu; David Hanley; Michal Sabala; Joe Mambretti; Alexander S. Szalay; Ani Thakar; Kazumi Kumazoe; Yuji Oie; Minsun Lee; Yoonjoo Kwon; Woojin Seok (Future Gener. Comput. Syst., 2006)

KDD workshop on data mining standards, services & platforms (DM-SSP) 2006. - Robert L. Grossman (SIGKDD Explor., 2006)

High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions. - Leland Wilkinson; Anushka Anand; Robert L. Grossman (IEEE Trans. Vis. Comput. Graph., 2006)

An Algorithm for Assigning Unique Keys to Metabolic Pathways. - Fang Fang; Robert L. Grossman; Xiangjun Liu (BIBM, 2007)

A peer-to-peer infrastructure for distributing large scientific data sets over wide area high-performance networks: experimental studies using wide area layer 2 services. - Yunhong Gu; Robert L. Grossman; Joe Mambretti (GridNets, 2007)

Outlier Detection with Streaming Dyadic Decomposition. - Chetan Gupta 001; Robert L. Grossman (ICDM, 2007)

An Alert Management Approach To Data Quality: Lessons Learned From The Visa Data Authority Program. - Joseph Bugajski; Robert L. Grossman (ICIQ, 2007)

Detecting changes in large data sets of payment card data: a case study. - Chris Curry; Robert L. Grossman; David Locke; Steve Vejcik; Joseph Bugajski (KDD, 2007)

UDT: UDP-based data transfer for high-speed wide area networks. - Yunhong Gu; Robert L. Grossman (Comput. Networks, 2007)

Discovering Emergent Behavior from Network Packet Data. - Robert L. Grossman; Michal Sabala; Yunhong Gu; Anushka Anand; Matt Handley; Rajmonda Sulo Caceres; Lee Wilkinson (Next Generation of Data Mining, 2008)

UDTv4: Improvements in Performance and Usability. - Yunhong Gu; Robert L. Grossman (GridNets, 2008)

Data mining using high performance data clouds: experimental studies using sector and sphere. - Robert L. Grossman; Yunhong Gu (KDD, 2008)

Exploring data parallelism and locality in wide area networks. - Yunhong Gu; Robert L. Grossman (MTAGS@SC, 2008)

Sector and Sphere: Towards Simplified Storage and Processing of Large Scale Distributed Data - Yunhong Gu; Robert L. Grossman (CoRR, 2008)

The Open Cloud Testbed: Supporting Open Source Cloud Computing Systems Based on Large Scale High Performance, Dynamic Network Services. - Robert L. Grossman; Yunhong Gu; Michal Sabala; Collin Bennett; Jonathan Seidman; Joe Mambretti (GridNets, 2009)

Why Naive Ensembles Do Not Work in Cloud Computing. - Wenxuan Gao; Robert L. Grossman; Philip S. Yu; Yunhong Gu (ICDM Workshops, 2009)

Lessons learned from a year's worth of benchmarks of large data clouds. - Yunhong Gu; Robert L. Grossman (SC-MTAGS, 2009)

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks. - Feng Tian; Parantu K. Shah; Xiangjun Liu; Nicolas N. Negre; Jia Chen; Oleksiy Karpenko; Kevin P. White; Robert L. Grossman (Bioinform., 2009)

The Open Cloud Testbed: A Wide Area Testbed for Cloud Computing Utilizing High Performance Network Services - Robert L. Grossman; Yunhong Gu; Michal Sabala; Collin Bennett; Jonathan Seidman; Joe Mambretti (CoRR, 2009)

On the Varieties of Clouds for Data Intensive Computing. - Robert L. Grossman; Yunhong Gu (IEEE Data Eng. Bull., 2009)

Compute and storage clouds using wide area high performance networks. - Robert L. Grossman; Yunhong Gu; Michal Sabala; Wanzhi Zhang (Future Gener. Comput. Syst., 2009)

The Case for Cloud Computing. - Robert L. Grossman (IT Prof., 2009)

Open source analytics: an introduction to the special issue. - Robert L. Grossman (SIGKDD Explor., 2009)

What is analytic infrastructure and why should you care? - Robert L. Grossman (SIGKDD Explor., 2009)

An overview of the Open Science Data Cloud. - Robert L. Grossman; Yunhong Gu; Joe Mambretti; Michal Sabala; Alexander S. Szalay; Kevin P. White (HPDC, 2010)

dSimpleGraph: A Novel Distributed Clustering Algorithm for Exploring Very Large Scale Unknown Data Sets. - Li Lu 006; Yunhong Gu; Robert L. Grossman (ICDM Workshops, 2010)

dMaximalCliques: A Distributed Algorithm for Enumerating All Maximal Cliques and Maximal Clique Distribution. - Li Lu 006; Yunhong Gu; Robert L. Grossman (ICDM Workshops, 2010)

Malstone: towards a benchmark for analytics on large data clouds. - Collin Bennett; Robert L. Grossman; David Locke; Jonathan Seidman; Steve Vejcik (KDD, 2010)

Processing massive sized graphs using Sector/Sphere. - Yunhong Gu; Li Lu 006; Robert L. Grossman; Andy Yoo (MTAGS@SC, 2010)

Sector: A high performance wide area community data storage and sharing system. - Yunhong Gu; Robert L. Grossman (Future Gener. Comput. Syst., 2010)

Toward Efficient and Simplified Distributed Data Intensive Computing. - Yunhong Gu; Robert L. Grossman (IEEE Trans. Parallel Distributed Syst., 2011)

Discovering geometric patterns in genomic data. - Wenxuan Gao; Lijia Ma; Christopher Brown; Matthew Slattery; Philip S. Yu; Robert L. Grossman; Kevin P. White (BCB, 2012)

The Namibia Early Flood Warning System, a CEOS pilot project. - Daniel J. Mandl; Stuart Frye; Rob Sohlberg; Pat Cappelaere; Matthew Handy; Robert L. Grossman (IGARSS, 2012)

The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. - Robert L. Grossman; Matthew Greenway; Allison P. Heath; Ray Powell; Rafael D. Suarez; Walt Wells; Kevin P. White; Malcolm P. Atkinson 001; Iraklis A. Klampanos; Heidi L. Alvarez; Christine Harvey; Joe Mambretti (SC Companion, 2012)

OpenFlow Enabled Hadoop over Local and Wide Area Clusters. - Sandhya Narayan; Stuart Bailey; Anand Daga; Matthew Greenway; Robert L. Grossman; Allison P. Heath; Ray Powell (SC Companion, 2012)

Use of the Earth Observing One (EO-1) Satellite for the Namibia SensorWeb Flood Early Warning Pilot. - Daniel J. Mandl; Stuart Frye; Pat Cappelaere; Matthew Handy; Fritz Policelli; McCloud Katjizeu; Guido Van Langenhove; Guy Aubé; Jean-Francois Saulnier; Rob Sohlberg; Julie A. Silva; Nataliia Kussul; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets. - Allison P. Heath; Matthew Greenway; Ray Powell; Jonathan Spring; Rafael D. Suarez; David Hanley; Chai Bandlamudi; Megan E. McNerney; Kevin P. White; Robert L. Grossman (J. Am. Medical Informatics Assoc., 2014)

The Matsu Wheel: A Cloud-Based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery. - Maria T. Patterson; Nikolas Anderson; Collin Bennett; Jacob Bruggemann; Robert L. Grossman; Matthew Handy; Vuong Ly; Daniel J. Mandl; Shane Pederson; James Pivarski; Ray Powell; Jonathan Spring; et al. (BigDataService, 2016)

Deploying Analytics with the Portable Format for Analytics (PFA). - Jim Pivarski; Collin Bennett; Robert L. Grossman (KDD, 2016)

A Case for Data Commons: Towards Data Science as a Service. - Robert L. Grossman; Allison P. Heath; Mark Murphy; Maria T. Patterson; Walt Wells (CoRR, 2016)

The Matsu Wheel: A Cloud-based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery. - Maria T. Patterson; Nikolas Anderson; Collin Bennett; Jacob Bruggemann; Robert L. Grossman; Matthew Handy; Vuong Ly; Dan Mandl; Shane Pederson; Jim Pivarski; Ray Powell; Jonathan Spring; et al. (CoRR, 2016)

A Case for Data Commons: Toward Data Science as a Service. - Robert L. Grossman; Allison P. Heath; Mark Murphy; Maria T. Patterson; Walt Wells (Comput. Sci. Eng., 2016)

The Medical Science DMZ. - Sean Peisert; William Barnett; Eli Dart; James Cuff; Robert L. Grossman; Edward B. Talbot; Ari Berman; Anurag Shankar; Brian Tierney (J. Am. Medical Informatics Assoc., 2016)

Designing and deploying a bioinformatics software-defined network exchange (SDX): Architecture, services, capabilities, and foundation technologies. - Joe Mambretti; Jim Hao Chen; Fei Yeh; Robert L. Grossman; Piers Nash; Alison Heath; Renuka Arya; Stuti Agrawal; Zhenyu Zhang (ICIN, 2017)

Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping. - Maria T. Patterson; Robert L. Grossman (Big Data, 2017)

The Matsu Wheel: a reanalysis framework for Earth satellite imagery in data commons. - Maria T. Patterson; Nikolas Anderson; Collin Bennett; Jacob Bruggemann; Robert L. Grossman; Matthew Handy; Vuong Ly; Daniel J. Mandl; Shane Pederson; James Pivarski; Ray Powell; Jonathan Spring; et al. (Int. J. Data Sci. Anal., 2017)

Data Lakes, Clouds and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data. - Robert L. Grossman (CoRR, 2018)

A framework for evaluating the analytic maturity of an organization. - Robert L. Grossman (Int. J. Inf. Manag., 2018)

The medical science DMZ: a network design pattern for data-intensive medical science. - Sean Peisert; Eli Dart; William Barnett; Edward Balas; James Cuff; Robert L. Grossman; Ari Berman; Anurag Shankar; Brian Tierney (J. Am. Medical Informatics Assoc., 2018)

Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons. - Nhan V. Do; Jaime C. Ramos; Nathanael R. Fillmore; Robert L. Grossman; Michael Fitzsimons; Danne C. Elbers; Frank Meng; Brett R. Johnson; Samuel Ajjarapu; Corri L. DeDomenico; Karen E. Pierce-Murray; Robert B. Hall; et al. (MedInfo, 2019)

Evaluation of Hyperbolic Attention in Histopathology Images. - Renyu Zhang; Aly A. Khan; Robert L. Grossman (BIBE, 2020)

Evaluating and interpreting caption prediction for histopathology images. - Renyu Zhang; Christopher Weber; Robert L. Grossman; Aly A. Khan (MLHC, 2020)

HeartBioPortal2.0: new developments and updates for genetic ancestry and cardiometabolic quantitative traits in diverse human populations. - Bohdan B. Khomtchouk; Christopher S. Nelson; Kasra A. Vand; Salvator Palmisano; Robert L. Grossman (Database J. Biol. Databases Curation, 2020)

The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. - Danne C. Elbers; Nathanael R. Fillmore; Sung Feng-Chi; Spyridon S. Ganas; Alexander M. Prokhorenkov; Christopher Meyer; Robert B. Hall; Samuel Ajjarapu; Daniel C. Chen; Frank Meng; Robert L. Grossman; Mary T. Brophy; et al. (Patterns, 2020)

Experiences in Managing the Performance and Reliability of a Large-Scale Genomics Cloud Platform. - Michael Hao Tong; Robert L. Grossman; Haryadi S. Gunawi (USENIX ATC, 2021)

BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing. - Renyu Zhang; Aly A. Khan; Robert L. Grossman; Yuxin Chen 001 (CoRR, 2021)

A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments. - Robert L. Grossman; Rebecca R. Boyles; Brandi N. Davis-Dusenbery; Amanda Haddock; Allison P. Heath; Brian D. O'Connor; Adam C. Resnick; Deanne M. Taylor; Stan Ahalt (CoRR, 2022)

Ten Lessons for Data Sharing With a Data Commons. - Robert L. Grossman (CoRR, 2022)

The Biomedical Research Hub: a federated platform for patient research data. - Craig Barnes; Binam Bajracharya; Matthew Cannalte; Zakir Gowani; Will Haley; Taha A. Kass-Hout; Kyle Hernandez; Michael Ingram; Hara Prasad Juvvala; Gina Kuffel; Plamen Martinov; J. Montgomery Maxwell; et al. (J. Am. Medical Informatics Assoc., 2022)

CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows. - Martin L. Putra; In Kee Kim; Haryadi S. Gunawi; Robert L. Grossman (BIBE, 2023)

Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing. - Renyu Zhang; Aly A. Khan; Robert L. Grossman; Yuxin Chen 001 (ICLR, 2023)

Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. - Matthew Clark; Christopher Meyer; Jaime Ramos-Cejudo; Danne C. Elbers; Karen E. Pierce-Murray; Rafael Fricks; Gil Alterovitz; Luigi Rao; Mary T. Brophy; Nhan V. Do; Robert L. Grossman; Nathanael R. Fillmore (MedInfo, 2023)

Towards self-describing and FAIR bulk formats for biomedical data. - Michael Lukowski; Andrew Prokhorenkov; Robert L. Grossman (PLoS Comput. Biol., 2023)

Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. - Stan Ahalt; Paul Avillach; Rebecca R. Boyles; Kira Bradford; Steven Cox 001; Brandi Davis-Dusenbery; Robert L. Grossman; Ashok K. Krishnamurthy 001; Alisa Manning; Benedict Paten; Anthony Philippakis; Ingrid Borecki; et al. (J. Am. Medical Informatics Assoc., 2023)

Enhancing Instance-Level Image Classification with Set-Level Labels. - Renyu Zhang; Aly A. Khan; Yuxin Chen 001; Robert L. Grossman (ICLR, 2024)

An Annotated Glossary for Data Commons, Data Meshes, and Other Data Platforms. - Robert L. Grossman (CoRR, 2024)

Ten Pillars for Data Meshes. - Robert L. Grossman; Ceilyn Boyd; Nhan V. Do; Danne C. Elbers; Michael Sean Fitzsimons; Maryellen L. Giger; Anthony Juehne; Brienna Larrick; Jerry S. H. Lee; Dawei Lin; Michael Lukowski; James D. Myers; et al. (CoRR, 2024)

LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation. - Steven Song; Anirudh Subramanyam; Irene Madejski; Robert L. Grossman (CoRR, 2024)

A Proposed End-To-End Principle for Data Commons. - Robert L. Grossman (CoRR, 2025)

Multimodal Survival Modeling in the Age of Foundation Models. - Steven Song; Morgan Borjigin-Wang; Irene Madejski; Robert L. Grossman (CoRR, 2025)

GDC Cohort Copilot: An AI Copilot for Curating Cohorts from the Genomic Data Commons. - Steven Song; Anirudh Subramanyam; Zhenyu Zhang; Aarti Venkat; Robert L. Grossman (CoRR, 2025)

Managing, Analyzing and Sharing Research Data with Gen3 Data Commons. - Craig Barnes; Kyle Burton; Michael Sean Fitzsimons; Hara Prasad Juvvala; Brienna Larrick; Christopher Meyer; Pauline Ribeyre; Ao Liu; Clint Malson; Noah Metoki-Shlubsky; Andrii Prokhorenkov; Jawad Qureshi; et al. (CoRR, 2025)