Robert L. Grossman

ORCID

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 28

Top Venues

CoRR

J. Am. Medical Informatics Assoc.

BIBE

MedInfo

Publications

Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman
Enhancing Instance-Level Image Classification with Set-Level Labels. CoRR (2023)
Martin L. Putra, In Kee Kim, Haryadi S. Gunawi, Robert L. Grossman
CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows. BIBE (2023)
Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing. ICLR (2023)
Stan Ahalt, Paul Avillach, Rebecca R. Boyles, Kira Bradford, Steven Cox, Brandi Davis-Dusenbery, Robert L. Grossman, Ashok K. Krishnamurthy, Alisa Manning, Benedict Paten, Anthony Philippakis, Ingrid Borecki, Shu Hui Chen, Jon Kaltman, Sweta Ladwa, Chip Schwartz, Alastair Thomson, Sarah Davis, Alison Leaf, Jessica Lyons, Elizabeth Sheets, Joshua C. Bis, Matthew P. Conomos, Alessandro Culotti, Thomas N. Desain, Jack DiGiovanna, Milan Domazet, Stephanie M. Gogarten, Alba Gutiérrez-Sacristán, Tim Harris, Ben Heavner, Deepti Jain, Brian O'Connor, Kevin Osborn, Danielle Pillion, Jacob Pleiness, Ken Rice, Garrett Rupp, Arnaud Serret-Larmande, Albert Smith, Jason P. Stedman, Adrienne Stilp, Teresa Barsanti, John B. Cheadle, Christopher Erdmann, Brandy Farlow, Allie Gartland-Gray, Julie Hayes, Hannah Hiles, Paul Kerr, Chris Lenhardt, Tom Madden, Joanna O. Mieczkowska, Amanda Miller, Patrick Patton, Marcie Rathbun, Stephanie Suber, Joe Asare
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. J. Am. Medical Informatics Assoc. 30 (7) (2023)
Michael Lukowski, Andrew Prokhorenkov, Robert L. Grossman
Towards self-describing and FAIR bulk formats for biomedical data. PLoS Comput. Biol. 19 (3) (2023)
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
Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. MedInfo (2023)
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
A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments. CoRR (2022)
Robert L. Grossman
Ten Lessons for Data Sharing With a Data Commons. CoRR (2022)
Craig Barnes, Binam Bajracharya, Matthew Cannalte, Zakir Gowani, Will Haley, Taha Kass-Hout, Kyle Hernandez, Michael Ingram, Hara Prasad Juvvala, Gina Kuffel, Plamen Martinov, J. Montgomery Maxwell, John McCann, Ankit Malhotra, Noah Metoki-Shlubsky, Chris Meyer, Andre Paredes, Jawad Qureshi, Xenia Ritter, Philip Schumm, Mingfei Shao, Urvi Sheth, Trevar Simmons, Alexander Vantol, Zhenyu Zhang, Robert L. Grossman
The Biomedical Research Hub: a federated platform for patient research data. J. Am. Medical Informatics Assoc. 29 (4) (2022)
Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen
BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing. CoRR (2021)
Michael Hao Tong, Robert L. Grossman, Haryadi S. Gunawi
Experiences in Managing the Performance and Reliability of a Large-Scale Genomics Cloud Platform. USENIX Annual Technical Conference (2021)
Bohdan B. Khomtchouk, Christopher S. Nelson, Kasra A. Vand, Salvator Palmisano, Robert L. Grossman
HeartBioPortal2.0: new developments and updates for genetic ancestry and cardiometabolic quantitative traits in diverse human populations. Database J. Biol. Databases Curation 2020 (2020)
Renyu Zhang, Aly A. Khan, Robert L. Grossman
Evaluation of Hyperbolic Attention in Histopathology Images. BIBE (2020)
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, Nhan V. Do
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. Patterns 1 (6) (2020)
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, Andrew F. Do, Kelly Gaynor, Peter L. Elkin, Mary T. Brophy
Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons. MedInfo (2019)
Sean Peisert, Eli Dart, William Barnett, Edward Balas, James Cuff, Robert L. Grossman, Ari Berman, Anurag Shankar, Brian Tierney
The medical science DMZ: a network design pattern for data-intensive medical science. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Robert L. Grossman
A framework for evaluating the analytic maturity of an organization. Int. J. Inf. Manag. 38 (1) (2018)
Robert L. Grossman
Data Lakes, Clouds and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data. CoRR (2018)
Maria T. Patterson, Robert L. Grossman
Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping. Big Data 5 (3) (2017)
Joe Mambretti, Jim Hao Chen, Fei Yeh, Robert L. Grossman, Piers Nash, Alison Heath, Renuka Arya, Stuti Agrawal, Zhenyu Zhang
Designing and deploying a bioinformatics software-defined network exchange (SDX): Architecture, services, capabilities, and foundation technologies. ICIN (2017)
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, Walt Wells, John Xia
The Matsu Wheel: a reanalysis framework for Earth satellite imagery in data commons. Int. J. Data Sci. Anal. 4 (4) (2017)
Robert L. Grossman, Allison P. Heath, Mark Murphy, Maria T. Patterson, Walt Wells
A Case for Data Commons: Toward Data Science as a Service. Comput. Sci. Eng. 18 (5) (2016)
Jim Pivarski, Collin Bennett, Robert L. Grossman
Deploying Analytics with the Portable Format for Analytics (PFA). KDD (2016)
Robert L. Grossman, Matthew Greenway, Allison P. Heath, Ray Powell, Rafael D. Suarez, Walt Wells, Kevin P. White, Malcolm P. Atkinson, Iraklis A. Klampanos, Heidi L. Alvarez, Christine Harvey, Joe Mambretti
The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. CoRR (2016)
Robert L. Grossman, Allison P. Heath, Mark Murphy, Maria T. Patterson, Walt Wells
A Case for Data Commons: Towards Data Science as a Service. CoRR (2016)
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, Walt Wells
The Matsu Wheel: A Cloud-based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery. CoRR (2016)
Sean Peisert, William Barnett, Eli Dart, James Cuff, Robert L. Grossman, Edward B. Talbot, Ari Berman, Anurag Shankar, Brian Tierney
The Medical Science DMZ. J. Am. Medical Informatics Assoc. 23 (6) (2016)
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, Walt Wells, John Xia
The Matsu Wheel: A Cloud-Based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery. BigDataService (2016)
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
Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets. J. Am. Medical Informatics Assoc. 21 (6) (2014)
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, Sergii Skakun, Stephen G. Ungar, Robert L. Grossman, Jörg Szarzynski
Use of the Earth Observing One (EO-1) Satellite for the Namibia SensorWeb Flood Early Warning Pilot. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6 (2-1) (2013)
Wenxuan Gao, Lijia Ma, Christopher Brown, Matthew Slattery, Philip S. Yu, Robert L. Grossman, Kevin P. White
Discovering geometric patterns in genomic data. BCB (2012)
Robert L. Grossman, Matthew Greenway, Allison P. Heath, Ray Powell, Rafael D. Suarez, Walt Wells, Kevin P. White, Malcolm P. Atkinson, Iraklis A. Klampanos, Heidi L. Alvarez, Christine Harvey, Joe Mambretti
The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. SC Companion (2012)
Daniel J. Mandl, Stuart Frye, Rob Sohlberg, Pat Cappelaere, Matthew Handy, Robert L. Grossman
The Namibia Early Flood Warning System, a CEOS pilot project. IGARSS (2012)
Sandhya Narayan, Stuart Bailey, Anand Daga, Matthew Greenway, Robert L. Grossman, Allison P. Heath, Ray Powell
OpenFlow Enabled Hadoop over Local and Wide Area Clusters. SC Companion (2012)
Yunhong Gu, Robert L. Grossman
Toward Efficient and Simplified Distributed Data Intensive Computing. IEEE Trans. Parallel Distributed Syst. 22 (6) (2011)
Collin Bennett, Robert L. Grossman, David Locke, Jonathan Seidman, Steve Vejcik
Malstone: towards a benchmark for analytics on large data clouds. KDD (2010)
Li Lu, Yunhong Gu, Robert L. Grossman
dSimpleGraph: A Novel Distributed Clustering Algorithm for Exploring Very Large Scale Unknown Data Sets. ICDM Workshops (2010)
Yunhong Gu, Li Lu, Robert L. Grossman, Andy Yoo
Processing massive sized graphs using Sector/Sphere. MTAGS@SC (2010)
Robert L. Grossman, Yunhong Gu, Joe Mambretti, Michal Sabala, Alexander S. Szalay, Kevin P. White
An overview of the Open Science Data Cloud. HPDC (2010)
Li Lu, Yunhong Gu, Robert L. Grossman
dMaximalCliques: A Distributed Algorithm for Enumerating All Maximal Cliques and Maximal Clique Distribution. ICDM Workshops (2010)
Collin Bennett, Robert L. Grossman, David Locke, Jonathan Seidman, Steve Vejcik
MalStone: Towards A Benchmark for Analytics on Large Data Clouds CoRR (2010)
Yunhong Gu, Robert L. Grossman
Sector: A high performance wide area community data storage and sharing system. Future Gener. Comput. Syst. 26 (5) (2010)
Robert L. Grossman
The Case for Cloud Computing. IT Prof. 11 (2) (2009)
Robert L. Grossman, Yunhong Gu, Michal Sabala, Wanzhi Zhang
Compute and storage clouds using wide area high performance networks. Future Gener. Comput. Syst. 25 (2) (2009)
Robert L. Grossman, Yunhong Gu, Michal Sabala, Collin Bennett, Jonathan Seidman, Joe Mambretti
The Open Cloud Testbed: Supporting Open Source Cloud Computing Systems Based on Large Scale High Performance, Dynamic Network Services. GridNets (2009)
Wenxuan Gao, Robert L. Grossman, Philip S. Yu, Yunhong Gu
Why Naive Ensembles Do Not Work in Cloud Computing. ICDM Workshops (2009)
Robert L. Grossman, Yunhong Gu
On the Varieties of Clouds for Data Intensive Computing. IEEE Data Eng. Bull. 32 (1) (2009)
Robert L. Grossman, Yunhong Gu, Michal Sabala, Collin Bennett, Jonathan Seidman, Joe Mambretti
The Open Cloud Testbed: A Wide Area Testbed for Cloud Computing Utilizing High Performance Network Services CoRR (2009)
Feng Tian, Parantu K. Shah, Xiangjun Liu, Nicolas N. Negre, Jia Chen, Oleksiy Karpenko, Kevin P. White, Robert L. Grossman
transcriptional regulatory networks. Bioinform. 25 (22) (2009)
Yunhong Gu, Robert L. Grossman
Lessons learned from a year's worth of benchmarks of large data clouds. SC-MTAGS (2009)
Robert L. Grossman
What is analytic infrastructure and why should you care? SIGKDD Explor. 11 (1) (2009)
Robert L. Grossman
Open source analytics: an introduction to the special issue. SIGKDD Explor. 11 (1) (2009)
Yunhong Gu, Robert L. Grossman
Exploring data parallelism and locality in wide area networks. MTAGS@SC (2008)
Robert L. Grossman, Yunhong Gu, Michal Sabala, Wanzhi Zhang
Compute and Storage Clouds Using Wide Area High Performance Networks CoRR (2008)
Robert L. Grossman, Yunhong Gu
Data mining using high performance data clouds: experimental studies using sector and sphere. KDD (2008)
Robert L. Grossman, Yunhong Gu
Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere CoRR (2008)
Yunhong Gu, Robert L. Grossman
Sector and Sphere: Towards Simplified Storage and Processing of Large Scale Distributed Data CoRR (2008)
Yunhong Gu, Robert L. Grossman
UDTv4: Improvements in Performance and Usability. GridNets (2008)
Yunhong Gu, Robert L. Grossman, Joe Mambretti
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. GridNets (2007)
Joseph Bugajski, Robert L. Grossman
An Alert Management Approach To Data Quality: Lessons Learned From The Visa Data Authority Program. ICIQ (2007)
Yunhong Gu, Robert L. Grossman
UDT: UDP-based data transfer for high-speed wide area networks. Comput. Networks 51 (7) (2007)
Chris Curry, Robert L. Grossman, David Locke, Steve Vejcik, Joseph Bugajski
Detecting changes in large data sets of payment card data: a case study. KDD (2007)
Fang Fang, Robert L. Grossman, Xiangjun Liu
An Algorithm for Assigning Unique Keys to Metabolic Pathways. BIBM (2007)
Chetan Gupta, Robert L. Grossman
Outlier Detection with Streaming Dyadic Decomposition. ICDM (2007)
Joseph Bugajski, Robert L. Grossman, Steve Vejcik
A Service Oriented Architecture Supporting Data Interoperability for Payments Card Processing Systems. ICSOC (2006)
Yunhong Gu, Robert L. Grossman, Alexander S. Szalay, Ani Thakar
Distributing the Sloan Digital Sky Survey Using UDT and Sector. e-Science (2006)
Yong Mao, Yunhong Gu, Jia Chen, Robert L. Grossman
SDCS: Simplified Data Communications in Parallel/Distributed Applications. CCGRID (2006)
Leland Wilkinson, Anushka Anand, Robert L. Grossman
High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions. IEEE Trans. Vis. Comput. Graph. 12 (6) (2006)
Greeshma Neglur, Robert L. Grossman, Natalia Maltsev, Clement T. Yu
Using Term Lists and Inverted Files to Improve Search Speed for Metabolic Pathway Databases. DILS (2006)
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
Data mining middleware for wide-area high-performance networks. Future Gener. Comput. Syst. 22 (8) (2006)
Robert L. Grossman, Yunhong Gu, Michal Sabala, Shirley Connelly, David Hanley, Joe Mambretti, Alexander S. Szalay, Ani Thakar, Jan vandenBerg, Alainna Wonders
Bandwidth challenge - Transporting sloan digital sky survey data using SECTOR. SC (2006)
Joseph Bugajski, Robert L. Grossman, Eric Sumner, Steve Vejcik
Monitoring Data Quality for Very High Volume Transaction Systems. ICIQ (2006)
Robert L. Grossman
KDD workshop on data mining standards, services & platforms (DM-SSP) 2006. SIGKDD Explor. 8 (2) (2006)
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, Jason Leigh, Michael E. Papka, Rick L. Stevens
Real Time Change Detection and Alerts from Highway Traffic Data. SC (2005)
Robert L. Grossman, Richard G. Larson
Differential algebra structures on families of trees. Adv. Appl. Math. 35 (1) (2005)
Robert L. Grossman, Marco Mazzucco, Harimath Sivakumar, Y. Pan, Q. Zhang
Simple Available Bandwidth Utilization Library for High-Speed Wide Area Networks. J. Supercomput. 34 (3) (2005)
Greeshma Neglur, Robert L. Grossman, Bing Liu
Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples. DILS (2005)
Leland Wilkinson, Anushka Anand, Robert L. Grossman
Graph-Theoretic Scagnostics. INFOVIS (2005)
Robert L. Grossman, Yunhong Gu, Xinwei Hong, Antony Antony, Johan Blom, Freek Dijkstra, Cees de Laat
Teraflows over Gigabit WANs with UDT. Future Gener. Comput. Syst. 21 (4) (2005)
Yunhong Gu, Robert L. Grossman
Supporting Configurable Congestion Control in Data Transport Services. SC (2005)
Parthasarathy Krishnaswamy, Stephen G. Eick, Robert L. Grossman
Visual browsing of remote and distributed data. Visualization and Data Analysis (2005)
Joseph Bugajski, Robert L. Grossman, Eric Sumner, Zhao Tang
An event based framework for improving information quality that integrates baseline models, causal models and formal reference models. IQIS (2005)
Joseph Bugajski, Robert L. Grossman, Eric Sumner, Tao Zhang
A Methodology for Establishing Information Quality Baselines for Complex, Distributed Systems. ICIQ (2005)
Yunhong Gu, Xinwei Hong, Robert L. Grossman
Experiences in Design and Implementation of a High Performance Transport Protocol. SC (2004)
Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu
An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds. J. Bioinform. Comput. Biol. 2 (1) (2004)
Andrei L. Turinsky, Robert L. Grossman
A Greedy Algorithm for Selecting Models in Ensembles. ICDM (2004)
Parthasarathy Krishnaswamy, Stephen G. Eick, Robert L. Grossman
Visual Browsing of Remote and Distributed Data. INFOVIS (2004)
Robert L. Grossman, Yunhong Gu, David Hanley, Xinwei Hong, Babu Krishnaswamy
Experimental studies of data transport and data access of earth-science data over networks with high bandwidth delay products. Comput. Networks 46 (3) (2004)
Robert L. Grossman
Data mining standards, services, and platforms 2004 (DM-SSP 2004). SIGKDD Explor. 6 (2) (2004)
Jorge Levera, Benjamín Barán, Robert L. Grossman
Experimental Studies Using Median Polish Procedure to Reduce Alarm Rates in Data Cubes of Intrusion Data. ISI (2004)
Robert L. Grossman, David Hanley, Xinwei Hong, Parthasarathy Krishnaswamy
Using DataSpace Archives to Support Long-Term Stewardship of Remote and Distributed Data. MSST (2004)
Chetan Gupta, Robert L. Grossman
GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering. SDM (2004)
Bing Liu, Robert L. Grossman, Yanhong Zhai
Mining Web Pages for Data Records. IEEE Intell. Syst. 19 (6) (2004)
Ian T. Foster, Robert L. Grossman
Data integration in a bandwidth-rich world. Commun. ACM 46 (11) (2003)
Robert L. Grossman, Yunhong Gu, David Hanley, Xinwei Hong, Jorge Levera, Marco Mazzucco, Dave Lillethun, Joe Mambretti, Jeremy Weinberger
A Case for the Global Access to Large Distributed Data Sets Using Data Webs Employing Photonic Data Services. IEEE Symposium on Mass Storage Systems (2003)
Robert L. Grossman, Yunhong Gu, Don Hamelburg, David Hanley, Xinwei Hong, Jorge Levera, Dave Lillethun, Marco Mazzucco, Joe Mambretti, Jeremy Weinberger
Experimental studies using photonic data services at IGrid 2002. Future Gener. Comput. Syst. 19 (6) (2003)
Bing Liu, Robert L. Grossman, Yanhong Zhai
Mining data records in Web pages. KDD (2003)
Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu
Experimental Studies of the Universal Chemical Key (UCK)Algorithm on the NCI Database of Chemical Compounds. CSB (2003)
Robert L. Grossman
KDD-2003 workshop on data mining standards, services and platforms (DM-SSP 03). SIGKDD Explor. 5 (2) (2003)
Joe Mambretti, Jeremy Weinberger, Jim Hao Chen, Elizabeth Bacon, Fei Yeh, Dave Lillethun, Robert L. Grossman, Yunhong Gu, Marco Mazzucco
The Photonic TeraStream: enabling next generation applications through intelligent optical networking at iGRID2002. Future Gener. Comput. Syst. 19 (6) (2003)

Robert L. Grossman.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Robert L. Grossman