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2020 – today
- 2025
[i17]Robert L. Grossman:
A Proposed End-To-End Principle for Data Commons. CoRR abs/2502.11857 (2025)- 2024
- [c83]Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman:
Enhancing Instance-Level Image Classification with Set-Level Labels. ICLR 2024 - [i16]Robert L. Grossman:
An Annotated Glossary for Data Commons, Data Meshes, and Other Data Platforms. CoRR abs/2404.15475 (2024) - [i15]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, Philip Schumm, Aarti Venkat:
Ten Pillars for Data Meshes. CoRR abs/2411.05248 (2024) - [i14]Steven Song, Anirudh Subramanyam, Irene Madejski, Robert L. Grossman:
LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation. CoRR abs/2411.16523 (2024) - 2023
- [j50]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, Benjamin D. 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): 1293-1300 (2023) - [j49]Michael Lukowski, Andrew Prokhorenkov, Robert L. Grossman:
Towards self-describing and FAIR bulk formats for biomedical data. PLoS Comput. Biol. 19(3) (2023) - [c82]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: 22-27 - [c81]Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen:
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing. ICLR 2023 - [c80]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: 735-739 - [i13]Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman:
Enhancing Instance-Level Image Classification with Set-Level Labels. CoRR abs/2311.05659 (2023) - 2022
- [j48]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, 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): 619-625 (2022) - [i12]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 abs/2203.05097 (2022) - [i11]Robert L. Grossman:
Ten Lessons for Data Sharing With a Data Commons. CoRR abs/2207.11167 (2022) - 2021
- [c79]Michael Hao Tong, Robert L. Grossman, Haryadi S. Gunawi:
Experiences in Managing the Performance and Reliability of a Large-Scale Genomics Cloud Platform. USENIX ATC 2021: 973-988 - [i10]Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen:
BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing. CoRR abs/2112.13737 (2021) - 2020
- [j47]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) - [j46]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): 100083 (2020) - [c78]Renyu Zhang, Aly A. Khan, Robert L. Grossman:
Evaluation of Hyperbolic Attention in Histopathology Images. BIBE 2020: 773-776 - [c77]Renyu Zhang, Christopher Weber, Robert L. Grossman, Aly A. Khan:
Evaluating and interpreting caption prediction for histopathology images. MLHC 2020: 418-435
2010 – 2019
- 2019
- [c76]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: 1453 - 2018
- [j45]Robert L. Grossman:
A framework for evaluating the analytic maturity of an organization. Int. J. Inf. Manag. 38(1): 45-51 (2018) - [j44]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): 267-274 (2018) - [i9]Robert L. Grossman:
Data Lakes, Clouds and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data. CoRR abs/1809.01699 (2018) - 2017
- [j43]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): 213-224 (2017) - [j42]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): 251-264 (2017) - [c75]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: 135-142 - 2016
- [j41]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): 10-20 (2016) - [j40]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): 1199-1201 (2016) - [c74]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: 156-165 - [c73]Jim Pivarski, Collin Bennett, Robert L. Grossman:
Deploying Analytics with the Portable Format for Analytics (PFA). KDD 2016: 579-588 - [i8]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 abs/1601.00323 (2016) - [i7]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 abs/1602.06888 (2016) - [i6]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 abs/1604.02608 (2016) - 2014
- [j39]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): 969-975 (2014) - 2013
- [j38]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): 298-308 (2013) - [e4]Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy:
The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013. ACM 2013, ISBN 978-1-4503-2174-7 [contents] - 2012
- [c72]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: 147-154 - [c71]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: 3521-3524 - [c70]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: 1051-1057 - [c69]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: 1625-1628 - 2011
- [j37]Yunhong Gu, Robert L. Grossman:
Toward Efficient and Simplified Distributed Data Intensive Computing. IEEE Trans. Parallel Distributed Syst. 22(6): 974-984 (2011) - 2010
- [j36]Yunhong Gu, Robert L. Grossman:
Sector: A high performance wide area community data storage and sharing system. Future Gener. Comput. Syst. 26(5): 720-728 (2010) - [c68]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: 377-384 - [c67]Li Lu, Yunhong Gu, Robert L. Grossman:
dSimpleGraph: A Novel Distributed Clustering Algorithm for Exploring Very Large Scale Unknown Data Sets. ICDM Workshops 2010: 162-169 - [c66]Li Lu, Yunhong Gu, Robert L. Grossman:
dMaximalCliques: A Distributed Algorithm for Enumerating All Maximal Cliques and Maximal Clique Distribution. ICDM Workshops 2010: 1320-1327 - [c65]Collin Bennett, Robert L. Grossman, David Locke, Jonathan Seidman, Steve Vejcik:
Malstone: towards a benchmark for analytics on large data clouds. KDD 2010: 145-152 - [c64]Yunhong Gu, Li Lu, Robert L. Grossman, Andy Yoo:
Processing massive sized graphs using Sector/Sphere. MTAGS@SC 2010: 1-10 - [i5]Collin Bennett, Robert L. Grossman, David Locke, Jonathan Seidman, Steve Vejcik:
MalStone: Towards A Benchmark for Analytics on Large Data Clouds. CoRR abs/1007.1261 (2010)
2000 – 2009
- 2009
- [j35]Feng Tian, Parantu K. Shah, Xiangjun Liu, Nicolas N. Negre, Jia Chen, Oleksiy Karpenko, Kevin P. White, Robert L. Grossman:
Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks. Bioinform. 25(22): 3001-3004 (2009) - [j34]Robert L. Grossman, Yunhong Gu:
On the Varieties of Clouds for Data Intensive Computing. IEEE Data Eng. Bull. 32(1): 44-50 (2009) - [j33]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): 179-183 (2009) - [j32]Robert L. Grossman:
The Case for Cloud Computing. IT Prof. 11(2): 23-27 (2009) - [j31]Robert L. Grossman:
Open source analytics: an introduction to the special issue. SIGKDD Explor. 11(1): 3-4 (2009) - [j30]Robert L. Grossman:
What is analytic infrastructure and why should you care? SIGKDD Explor. 11(1): 5-9 (2009) - [c63]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: 89-97 - [c62]Wenxuan Gao, Robert L. Grossman, Philip S. Yu, Yunhong Gu:
Why Naive Ensembles Do Not Work in Cloud Computing. ICDM Workshops 2009: 282-289 - [c61]Yunhong Gu, Robert L. Grossman:
Lessons learned from a year's worth of benchmarks of large data clouds. SC-MTAGS 2009 - [i4]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 abs/0907.4810 (2009) - 2008
- [c60]Yunhong Gu, Robert L. Grossman:
UDTv4: Improvements in Performance and Usability. GridNets 2008: 9-23 - [c59]Robert L. Grossman, Yunhong Gu:
Data mining using high performance data clouds: experimental studies using sector and sphere. KDD 2008: 920-927 - [c58]Yunhong Gu, Robert L. Grossman:
Exploring data parallelism and locality in wide area networks. MTAGS@SC 2008: 1-10 - [p1]Robert L. Grossman, Michal Sabala, Yunhong Gu, Anushka Anand, Matt Handley, Rajmonda Sulo Caceres, Lee Wilkinson:
Discovering Emergent Behavior from Network Packet Data. Next Generation of Data Mining 2008 - [i3]Robert L. Grossman, Yunhong Gu, Michal Sabala, Wanzhi Zhang:
Compute and Storage Clouds Using Wide Area High Performance Networks. CoRR abs/0808.1802 (2008) - [i2]Robert L. Grossman, Yunhong Gu:
Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere. CoRR abs/0808.3019 (2008) - [i1]Yunhong Gu, Robert L. Grossman:
Sector and Sphere: Towards Simplified Storage and Processing of Large Scale Distributed Data. CoRR abs/0809.1181 (2008) - 2007
- [j29]Yunhong Gu, Robert L. Grossman:
UDT: UDP-based data transfer for high-speed wide area networks. Comput. Networks 51(7): 1777-1799 (2007) - [c57]Fang Fang, Robert L. Grossman, Xiangjun Liu:
An Algorithm for Assigning Unique Keys to Metabolic Pathways. BIBM 2007: 374-382 - [c56]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: 8 - [c55]Chetan Gupta, Robert L. Grossman:
Outlier Detection with Streaming Dyadic Decomposition. ICDM 2007: 77-91 - [c54]Joseph Bugajski, Robert L. Grossman:
An Alert Management Approach To Data Quality: Lessons Learned From The Visa Data Authority Program. ICIQ 2007: 5-18 - [c53]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: 1018-1022 - 2006
- [j28]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): 940-948 (2006) - [j27]Robert L. Grossman:
KDD workshop on data mining standards, services & platforms (DM-SSP) 2006. SIGKDD Explor. 8(2): 82-83 (2006) - [j26]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): 1363-1372 (2006) - [c52]Yong Mao, Yunhong Gu, Jia Chen, Robert L. Grossman:
SDCS: Simplified Data Communications in Parallel/Distributed Applications. CCGRID 2006: 292-295 - [c51]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: 168-184 - [c50]Yunhong Gu, Robert L. Grossman, Alexander S. Szalay, Ani Thakar:
Distributing the Sloan Digital Sky Survey Using UDT and Sector. e-Science 2006: 56 - [c49]Joseph Bugajski, Robert L. Grossman, Steve Vejcik:
A Service Oriented Architecture Supporting Data Interoperability for Payments Card Processing Systems. ICSOC 2006: 591-600 - [c48]Joseph Bugajski, Robert L. Grossman, Eric E. Sumner Jr., Steve Vejcik:
Monitoring Data Quality for Very High Volume Transaction Systems. ICIQ 2006: 186-195 - [c47]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: 242 - 2005
- [j25]Robert L. Grossman, Richard G. Larson:
Differential algebra structures on families of trees. Adv. Appl. Math. 35(1): 97-119 (2005) - [j24]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): 501-513 (2005) - [j23]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): 231-242 (2005) - [c46]Greeshma Neglur, Robert L. Grossman, Bing Liu:
Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples. DILS 2005: 145-157 - [c45]Leland Wilkinson, Anushka Anand, Robert L. Grossman:
Graph-Theoretic Scagnostics. INFOVIS 2005: 157-164 - [c44]Joseph Bugajski, Robert L. Grossman, Eric E. Sumner Jr., Tao Zhang:
A Methodology for Establishing Information Quality Baselines for Complex, Distributed Systems. ICIQ 2005 - [c43]Joseph Bugajski, Robert L. Grossman, Eric E. Sumner Jr., Zhao Tang:
An event based framework for improving information quality that integrates baseline models, causal models and formal reference models. IQIS 2005: 40-45 - [c42]Yunhong Gu, Robert L. Grossman:
Supporting Configurable Congestion Control in Data Transport Services. SC 2005: 31 - [c41]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: 69 - [c40]Parthasarathy Krishnaswamy, Stephen G. Eick, Robert L. Grossman:
Visual browsing of remote and distributed data. Visualization and Data Analysis 2005: 12-20 - 2004
- [j22]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): 411-421 (2004) - [j21]Bing Liu, Robert L. Grossman, Yanhong Zhai:
Mining Web Pages for Data Records. IEEE Intell. Syst. 19(6): 49-55 (2004) - [j20]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): 155-172 (2004) - [j19]Robert L. Grossman:
Data mining standards, services, and platforms 2004 (DM-SSP 2004). SIGKDD Explor. 6(2): 157-158 (2004) - [c39]Andrei L. Turinsky, Robert L. Grossman:
A Greedy Algorithm for Selecting Models in Ensembles. ICDM 2004: 547-550 - [c38]Parthasarathy Krishnaswamy, Stephen G. Eick, Robert L. Grossman:
Visual Browsing of Remote and Distributed Data. INFOVIS 2004 - [c37]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: 457-466 - [c36]Robert L. Grossman, David Hanley, Xinwei Hong, Parthasarathy Krishnaswamy:
Using DataSpace Archives to Support Long-Term Stewardship of Remote and Distributed Data. MSST 2004: 239-244 - [c35]Yunhong Gu, Xinwei Hong, Robert L. Grossman:
Experiences in Design and Implementation of a High Performance Transport Protocol. SC 2004: 22 - [c34]Chetan Gupta, Robert L. Grossman:
GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering. SDM 2004: 147-153 - 2003
- [j18]Aaron Falk, Theodore Faber, Joseph A. Bannister, Andrew A. Chien, Robert L. Grossman, Jason Leigh:
Transport protocols for high performance. Commun. ACM 46(11): 42-49 (2003) - [j17]Ian T. Foster, Robert L. Grossman:
Data integration in a bandwidth-rich world. Commun. ACM 46(11): 50-57 (2003) - [j16]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): 897-908 (2003) - [j15]Chong Zhang, Jason Leigh, Thomas A. DeFanti, Marco Mazzucco, Robert L. Grossman:
TeraScope: distributed visual data mining of terascale data sets over photonic networks. Future Gener. Comput. Syst. 19(6): 935-943 (2003) - [j14]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): 945-955 (2003) - [j13]Yunhong Gu, Robert L. Grossman:
SABUL: A Transport Protocol for Grid Computing. J. Grid Comput. 1(4): 377-386 (2003) - [j12]Asvin Ananthanarayan, Rajiv Balachandran, Robert L. Grossman, Yunhong Gu, Xinwei Hong, Jorge Levera, Marco Mazzucco:
Data webs for earth science data. Parallel Comput. 29(10): 1363-1379 (2003) - [j11]Robert L. Grossman:
KDD-2003 workshop on data mining standards, services and platforms (DM-SSP 03). SIGKDD Explor. 5(2): 197 (2003) - [c33]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: 244-250 - [c32]Bing Liu, Robert L. Grossman, Yanhong Zhai:
Mining data records in Web pages. KDD 2003: 601-606 - [c31]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: 62-66 - 2002
- [j10]Robert L. Grossman, Mark F. Hornick, Gregor Meyer:
Data mining standards initiatives. Commun. ACM 45(8): 59-61 (2002) - [j9]Robert L. Grossman, Marco Mazzucco:
DataSpace: a data Web for the exploratory analysis and mining of data. Comput. Sci. Eng. 4(4): 44-51 (2002) - [c30]Robert L. Grossman, Richard G. Larson:
An Algebraic Approach to Data Mining: Some Examples. ICDM 2002: 613-616 - [c29]Marco Mazzucco, Asvin Ananthanarayan, Robert L. Grossman, Jorge Levera, Gokulnath Bhagavantha Rao:
Merging multiple data streams on common keys over high performance networks. SC 2002: 26:1-26:12 - [e3]Robert L. Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, Rajeev Motwani:
Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002. SIAM 2002, ISBN 978-0-89871-517-0 [contents] - 2001
- [e2]Vipin Kumar, Robert L. Grossman:
Proceedings of the First SIAM International Conference on Data Mining, SDM 2001, Chicago, IL, USA, April 5-7, 2001. SIAM 2001, ISBN 978-0-89871-495-1 [contents] - 2000
- [c28]Sivakumar Harinath, Robert L. Grossman, K. Bernhard Schiefer, Xun Xue, Sadique Syed:
Performance of DB2 Enterprise-Extended Edition on NT with Virtual Interface Architecture. EDBT 2000: 224-228 - [c27]Harimath Sivakumar, Stuart Bailey, Robert L. Grossman:
PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks. SC 2000: 38
1990 – 1999
- 1999
- [j8]Yike Guo, Robert L. Grossman:
Editorial. Data Min. Knowl. Discov. 3(3): 235-236 (1999) - [j7]Robert L. Grossman, Stuart Bailey, Ashok Ramu, Balinder Malhi, Philip Hallstrom, Ivan Pulleyn, Xiao Qin:
The management and mining of multiple predictive models using the predictive modeling markup language. Inf. Softw. Technol. 41(9): 589-595 (1999) - [c26]Jason Leigh, Andrew E. Johnson, Thomas A. DeFanti, Stuart Bailey, Robert L. Grossman:
A Methodology for Supporting Collaborative Exploratory Analysis of Massive Data Sets in Tele-Immersive Environments. HPDC 1999: 62-69 - [c25]Stuart Bailey, Emory Creel, Robert L. Grossman, Srinath Gutti, Harimath Sivakumar:
A High Performance Implementation of the Data Space Transfer Protocol (DSTP). Large-Scale Parallel Data Mining 1999: 55-64 - [c24]Stuart Bailey, Robert L. Grossman, Harimath Sivakumar, Andrei L. Turinsky:
Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters. SC 1999: 63 - 1997
- [c23]Robert L. Grossman:
A Tutorial Introduction to High Performance Data Mining (Abstract). PKDD 1997: 395 - 1996
- [j6]Robert L. Grossman:
Database Mining Challenges for Digital Libraries. ACM Comput. Surv. 28(4es): 108 (1996) - [c22]Robert L. Grossman, H. Vincent Poor:
Optimization driven data mining and credit scoring. CIFEr 1996: 104-110 - [c21]Robert L. Grossman, Haim Bodek, Dave Northcutt, H. Vincent Poor:
Data Mining and Tree-Based Optimization. KDD 1996: 323-326 - [c20]Robert L. Grossman, Stuart Bailey, David Hanley:
Data Mining Using Light Weight Object Management in Clustered Computing Environments. POS 1996: 237-249 - 1995
- [j5]Stuart Bailey, Robert L. Grossman, David Hanley:
Clusters, meta-clusters, and digital libraries: digital libraries for scientific, engineering and medical applications. SIGWEB Newsl. 4(2): 8-10 (1995) - [j4]Robert L. Grossman, Richard G. Larson:
An Algebraic Approach to Hybrid Systems. Theor. Comput. Sci. 138(1): 101-112 (1995) - [c19]Shitij Mutreja, Stuart Bailey, Robert L. Grossman, David Hanley:
Lightweight video service for multi-media digital libraries. CASCON 1995: 45 - [c18]Stuart Bailey, Robert L. Grossman, L. Gu, David Hanley:
A Data Intensive Computing Approach to Path Planning and Mode Management for Hybrid Systems. Hybrid Systems 1995: 485-495 - [c17]M. J. Doffou, Robert L. Grossman:
The Symbolic Computation of Differential Invariants of Polynomial Vector Field Systems Using Trees. ISSAC 1995: 26-31 - [c16]Robert L. Grossman, Xiao Qin, Wen Xu, Harry Hulen, Terry Tyler:
An Architecture for a Scalable, High-Performance Digital Library. IEEE Symposium on Mass Storage Systems 1995: 89-98 - [c15]Robert L. Grossman, David Hanley, Xiao Qin:
Caching and Migration for Multilevel Persistent Object Stores. IEEE Symposium on Mass Storage Systems 1995: 127-135 - [c14]Robert L. Grossman, David Hanley, Xiao Qin:
PTool: A Light Weight Persistent Object Manager. SIGMOD Conference 1995: 488 - 1994
- [j3]Marshall W. Bern, David P. Dobkin, David Eppstein, Robert L. Grossman:
Visibility with a Moving Point of View. Algorithmica 11(4): 360-378 (1994) - [c13]Robert L. Grossman, M. Sweedler:
Hybrid Systems and Quantum Automata: Preliminary Announcement. Hybrid Systems 1994: 191-201 - [c12]Robert L. Grossman, N. Araujo, Xiao Qin, Wen Xu:
Managing Physical Folios of Objects Between Nodes. POS 1994: 217-234 - [c11]Robert L. Grossman, Xiao Qin:
Ptool: A Scalable Persistent Object Manager. SIGMOD Conference 1994: 510 - [c10]Robert L. Grossman, Xiao Qin, 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, A. Baden, L. Cormell, Phil Leibold, D. Liu, U. Nixdorf, B. Scipioni, T. Song:
Analyzing High Energy Physics Data Using Databases: A Case Study. SSDBM 1994: 283-286 - 1993
- [j2]Giuseppe Caire, Robert L. Grossman, H. Vincent Poor:
Wavelet transforms associated with finite cyclic groups. IEEE Trans. Inf. Theory 39(4): 1157-1166 (1993) - [c9]Robert L. Grossman, Yannis E. Ioannidis, Edward N. May, Sakti Pramanik, Ruth Pordes:
Panel: Scientific Databases. FODO 1993: 361 - [c8]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, Phil Leibold, J. Marstaller, U. Nixdorf, B. Scipioni:
Requirements for a system to analyze high energy physics events using database computing. MSS 1993: 31-36 - [c7]Robert L. Grossman, Xiao Qin, D. Lifka:
A proof-of-concept implementation interfacing an object manager with a hierarchical storage system. MSS 1993: 209-213 - [e1]Robert L. Grossman, Anil Nerode, Anders P. Ravn, Hans Rischel:
Hybrid Systems. Lecture Notes in Computer Science 736, Springer 1993, ISBN 3-540-57318-6 [contents] - 1992
- [j1]Robert L. Grossman, Richard G. Larson:
Symbolic Computation of Derivations Using Labeled Trees. J. Symb. Comput. 13(5): 511-524 (1992) - [c6]Robert L. Grossman, Anil Nerode, Anders P. Ravn, Hans Rischel:
Introduction. Hybrid Systems 1992: 1-3 - [c5]Robert L. Grossman, Richard G. Larson:
Some Remarks About Flows in Hybrid Systems. Hybrid Systems 1992: 357-365 - [c4]Peter E. Crouch, Robert L. Grossman:
The Explicit Computation of Integration Algorithms and First Integrals for Ordinary Differential Equations with Polynomial Coefficients Using Trees. ISSAC 1992: 89-94 - 1991
- [c3]Peter E. Crouch, Robert L. Grossman, Richard G. Larson:
Computations Involving Differential Operators and Their Actions on Functions. ISSAC 1991: 301-307 - 1990
- [c2]Marshall W. Bern, David P. Dobkin, David Eppstein, Robert L. Grossman:
Visibility with a Moving Point of View. SODA 1990: 107-117
1980 – 1989
- 1989
- [c1]Robert L. Grossman, Richard G. Larson:
Labeled Trees and the Efficient Computation of Derivations. ISSAC 1989: 74-80
Coauthor Index
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