Rick L. Stevens

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 15

Top Topics

Learning Curves

Hyperspectral Image Classification

Top Venues

Nucleic Acids Res.

Briefings Bioinform.

Publications

Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens
Entropy-Reinforced Planning with Large Language Models for Drug Discovery. CoRR (2024)
Xuefeng Liu, Takuma Yoneda, Rick L. Stevens, Matthew R. Walter, Yuxin Chen
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. CoRR (2023)
Miao Tony He, Fangfang Xia, Rick L. Stevens
Deep Fair Partition for Hyperspectral Image Classification. WHISPERS (2023)
Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. ICMLA (2023)
Robert D. Olson, Rida Assaf, Thomas S. Brettin, Neal Conrad, Clark Cucinell, James J. Davis, Donald M. Dempsey, Allan Dickerman, Emily M. Dietrich, Ronald W. Kenyon, Mehmet Kuscuoglu, Elliot J. Lefkowitz, Jian Lu, Dustin Machi, Catherine Macken, Chunhong Mao, Anna Maria Niewiadomska, Marcus Nguyen, Gary J. Olsen, Jamie C. Overbeek, Bruce D. Parrello, Victoria Parrello, Jacob s Porter, Gordon D. Pusch, Maulik Shukla, Indresh Singh, Lucy Stewart, Gene Tan, Chris Thomas, Margo VanOeffelen, Veronika Vonstein, Zachary S. Wallace, Andrew S. Warren, Alice R. Wattam, Fangfang Xia, Hyun Seung Yoo, Yun Zhang, Christian M. Zmasek, Richard H. Scheuermann, Rick L. Stevens
Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR. Nucleic Acids Res. 51 (D1) (2023)
Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Johannes Jacobus van Dam, Deyu Lu
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. CoRR (2023)
Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen
Cost-Effective Online Contextual Model Selection. CoRR (2022)
Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica Teixeira Prates, Verónica G. Melesse Vergara, Manesh Shah, Austin Clyde, Thomas S. Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. ICLR (2022)
Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens
Deep learning methods for drug response prediction in cancer: predominant and emerging trends. CoRR (2022)
Yulun Wu, Nicholas Choma, Andrew Chen, Mikaela Cashman, Érica T. Prates, Manesh Shah, Verónica G. Melesse Vergara, Austin Clyde, Thomas S. Brettin, Wibe A. de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. CoRR (2021)
Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick L. Stevens
Learning curves for drug response prediction in cancer cell lines. BMC Bioinform. 22 (1) (2021)
Dionysios A. Antonopoulos, Rida Assaf, Ramy Karam Aziz, Thomas S. Brettin, Christopher Bun, Neal Conrad, James J. Davis, Emily M. Dietrich, Terry Disz, Svetlana Gerdes, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Daniel E. Murphy-Olson, Eric K. Nordberg, Gary J. Olsen, Robert Olson, Ross A. Overbeek, Bruce D. Parrello, Gordon D. Pusch, John Santerre, Maulik Shukla, Rick L. Stevens, Margo VanOeffelen, Veronika Vonstein, Andrew S. Warren, Alice R. Wattam, Fangfang Xia, Hyun Seung Yoo
PATRIC as a unique resource for studying antimicrobial resistance. Briefings Bioinform. 20 (4) (2019)
Mark Asch, Terry Moore, Rosa M. Badia, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov
Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. 32 (4) (2018)
Fangfang Xia, Maulik Shukla, Thomas S. Brettin, Cristina Garcia-Cardona, Judith D. Cohn, Jonathan E. Allen, Sergei Maslov, Susan L. Holbeck, James H. Doroshow, Yvonne A. Evrard, Eric A. Stahlberg, Rick L. Stevens
Predicting tumor cell line response to drug pairs with deep learning. BMC Bioinform. (18) (2018)
Alice R. Wattam, James J. Davis, Rida Assaf, Sébastien Boisvert, Thomas S. Brettin, Christopher Bun, Neal Conrad, Emily M. Dietrich, Terry Disz, Joseph L. Gabbard, Svetlana Gerdes, Christopher S. Henry, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Eric K. Nordberg, Gary J. Olsen, Daniel E. Murphy-Olson, Robert Olson, Ross A. Overbeek, Bruce D. Parrello, Gordon D. Pusch, Maulik Shukla, Veronika Vonstein, Andrew S. Warren, Fangfang Xia, Hyun Seung Yoo, Rick L. Stevens
Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center. Nucleic Acids Res. 45 (Database-Issue) (2017)
Alice R. Wattam, David Abraham, Oral Dalay, Terry Disz, Timothy Driscoll, Joseph L. Gabbard, Joseph J. Gillespie, Roger Gough, Deborah Hix, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Eric K. Nordberg, Robert Olson, Ross A. Overbeek, Gordon D. Pusch, Maulik Shukla, Julie Schulman, Rick L. Stevens, Daniel E. Sullivan, Veronika Vonstein, Andrew S. Warren, Rebecca Will, Meredith J. C. Wilson, Hyun Seung Yoo, Chengdong Zhang, Yan Zhang, Bruno W. S. Sobral
PATRIC, the bacterial bioinformatics database and analysis resource. Nucleic Acids Res. 42 (Database-Issue) (2014)
Lorenzo L. Pesce, Hyong Chol Lee, Mark Hereld, Sid Visser, Rick L. Stevens, Albert Wildeman, Wim van Drongelen
Large-Scale Modeling of Epileptic Seizures: Scaling Properties of Two Parallel Neuronal Network Simulation Algorithms. Comput. Math. Methods Medicine 2013 (2013)
Rick L. Stevens
HPCS 2011 keynotes: Tuesday keynote I: High-performance computing and biology: The quest for a predictive biological theory. HPCS (2011)
Jennifer Dwyer, Hyong Lee, Amber Martell, Rick L. Stevens, Mark Hereld, Wim van Drongelen
Oscillation in a network model of neocortex. Neurocomputing 73 (7-9) (2010)
José P. Faria, Miguel Rocha, Rick L. Stevens, Christopher S. Henry
Analysis of the Effect of Reversibility Constraints on the Predictions of Genome-Scale Metabolic Models. IWPACBB (2010)
Xinghua Shi, Rick L. Stevens
A Bayesian Approach to High-Throughput Biological Model Generation. BICoB (2009)
Jonathan C. Silverstein, Colin Walsh, Fred Dech, Eric C. Olson, Michael E. Papka, Nigel M. Parsad, Rick L. Stevens
Immersive Virtual Anatomy Course using a Cluster of Volume Visualization Machines and Passive Stereo. MMVR (2007)
Guang R. Gao, Thomas L. Sterling, Rick L. Stevens, Mark Hereld, Weirong Zhu
Hierarchical multithreading: programming model and system software. IPDPS (2006)
Han Gao, Michael E. Papka, Rick L. Stevens
Extending Multicast Communications by Hybrid Overlay Network. ICC (2006)
Charlie Catlett, William E. Allcock, Phil Andrews, Ruth A. Aydt, Ray Bair, Natasha Balac, Bryan Banister, Trish Barker, Mark Bartelt, Peter H. Beckman, Francine Berman, Gary R. Bertoline, Alan Blatecky, Jay Boisseau, Jim Bottum, Sharon Brunett, Julian J. Bunn, Michelle Butler, David Carver, John Cobb, Tim Cockerill, Peter Couvares, Maytal Dahan, Diana Diehl, Thom H. Dunning, Ian T. Foster, Kelly P. Gaither, Dennis Gannon, Sebastien Goasguen, Michael Grobe, David L. Hart, Matt Heinzel, Chris Hempel, Wendy Huntoon, Joseph A. Insley, Christopher T. Jordan, Ivan R. Judson, Anke Kamrath, Nicholas T. Karonis, Carl Kesselman, Patricia A. Kovatch, Lex Lane, Scott A. Lathrop, Michael J. Levine, David Lifka, Lee Liming, Miron Livny, Rich Loft, Doru Marcusiu, Jim Marsteller, Stuart Martin, D. Scott McCaulay, John McGee, Laura McGinnis, Michael A. McRobbie, Paul Messina, Reagan Moore, Richard Lee Moore, John-Paul Navarro, Jeff Nichols, Michael E. Papka, Rob Pennington, Greg Pike, Jim Pool, Raghurama Reddy, Daniel A. Reed, Tony Rimovsky, Eric Roberts, Ralph Roskies, Sergiu Sanielevici, J. Ray Scott, Anurag Shankar, Mark Sheddon, Mike Showerman, Derek Simmel, Abe Singer, Dane Skow, Shava Smallen, Warren Smith, Carol X. Song, Rick L. Stevens, Craig A. Stewart, Robert B. Stock, Nathan Stone, John Towns, Tomislav Urban, Mike Vildibill, Edward Walker, Von Welch, Nancy Wilkins-Diehr, Roy Williams, Linda Winkler, Lan Zhao, Ann Zimmerman
TeraGrid: Analysis of Organization, System Architecture, and Middleware Enabling New Types of Applications. High Performance Computing Workshop (2006)
Mark Hereld, Michael E. Papka, Justin Binns, Rick L. Stevens
CupHolder: A Multi-Person Interactive High-Resolution Workstation. VR (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)
Mark Hereld, Rick L. Stevens
Pixel-Aligned Warping for Multiprojector Tiled Displays. CVPR Workshops (2005)
Justin Binns, Fred Dech, Matthew McCrory, Michael E. Papka, Jonathan C. Silverstein, Rick L. Stevens
Developing a Distributed Collaborative Radiological Visualization Application. HealthGrid (2005)
Han Gao, Michael E. Papka, Rick L. Stevens
Performance Metrics of IP Multicast Sessions. ISM (2005)
Terry Disz, Michael Kubal, Robert Olson, Ross A. Overbeek, Rick L. Stevens
Challenges in large scale distributed computing: bioinformatics. CLADE (2005)
Han Gao, Ivan R. Judson, Thomas D. Uram, S. Lefvert, Terry Disz, Michael E. Papka, Rick L. Stevens
An Infrastructure of Network Services for Seamless Integration in Advanced Collaborative Computing Environments. CLUSTER (2005)
Wim van Drongelen, Hyong Chol Lee, Mark Hereld, David Jones, Matthew Cohoon, Frank Elsen, Michael E. Papka, Rick L. Stevens
Simulation of neocortical epileptiform activity using parallel computing. Neurocomputing (2004)
Han Gao, Ivan R. Judson, Thomas D. Uram, Terry Disz, Michael E. Papka, Rick L. Stevens
Capability matching of data streams with network services. CCGRID (2004)
Ross A. Overbeek, Terry Disz, Rick L. Stevens
The SEED: a peer-to-peer environment for genome annotation. Commun. ACM 47 (11) (2004)
Peter W. Arzberger, Abbas Farazdel, Akihiko Konagaya, Larry Ang, Shinji Shimojo, Rick L. Stevens
Life Sciences and Cyberinfrastructure: Dual and Interacting Revolutions that will Drive Future Science. New Gener. Comput. 22 (2) (2004)
Valerie E. Taylor, Rick L. Stevens
Introduction: Performance Analysis and Modeling. Clust. Comput. 6 (4) (2003)
Valerie E. Taylor, Xingfu Wu, Rick L. Stevens
Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications. SIGMETRICS Perform. Evaluation Rev. 30 (4) (2003)
Rick L. Stevens, Michael E. Papka, Terry Disz
Prototyping the Workspaces of the Future. IEEE Internet Comput. 7 (4) (2003)
Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Rick L. Stevens
Using Kernel Coupling to Improve the Performance of Multithreaded Applications. PDCS (2003)
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Rick L. Stevens
Using Kernel Couplings to Predict Parallel Application Performance. HPDC (2002)
Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson
Design and Development of the Prophesy Performance Database for Distributed Scientific Applications. PPSC (2001)
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick L. Stevens
Prophesy: Automating the Modeling Process. Active Middleware Services (2001)
Ian T. Foster, David E. Culler, Deborah Estrin, Harvey Newman, Rick L. Stevens
The Ten Hottest Topics in Parallel and Distributed Computing for the Next Millennium. IPDPS (2000)
Alok N. Choudhary, Mahmut T. Kandemir, Jaechun No, Gokhan Memik, Xiaohui Shen, Wei-keng Liao, Harsha S. Nagesh, Sachin More, Valerie E. Taylor, Rajeev Thakur, Rick L. Stevens
Data management for large-scale scientific computations in high performance distributed systems. Clust. Comput. 3 (1) (2000)
Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson
Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications. HPDC (2000)
Mark Hereld, Ivan R. Judson, Rick L. Stevens
Tutorial: Introduction to Building Projection-based Tiled Display Systems. IEEE Computer Graphics and Applications 20 (4) (2000)
Rick L. Stevens
Capstone Address: ActiveSpaces - The Access Grid, Active Mural and Advanced Visualization Systems. IEEE Visualization (1999)
Terry Disz, Ivan R. Judson, Robert Olson, Rick L. Stevens
The Argonne Voyager Multimedia Server. HPDC (1997)
Valerie E. Taylor, Rick L. Stevens, Kathryn E. Arnold
Parallel Molecular Dynamics: Implications for Massively Parallel Machines. J. Parallel Distributed Comput. 45 (2) (1997)
Terry Disz, Michael E. Papka, Rick L. Stevens
UbiWorld: an environment integrating virtual reality, supercomputing, and design. Heterogeneous Computing Workshop (1997)
Terry Disz, Robert Olson, Rick L. Stevens
Performance model of the Argonne Voyager multimedia server. ASAP (1997)
Ian T. Foster, Michael E. Papka, Rick L. Stevens
Tools for Distributed Collaborative Environments: A Research Agenda. HPDC (1996)
Valerie E. Taylor, Jian Chen, Thomas Canfield, Rick L. Stevens
A Decomposition Method For Efficient Use Of Distributed Supercomputers For Finite Element Applications. ASAP (1996)
Michael E. Papka, Rick L. Stevens
UbiWorld: An Environment Integrating Virtual Reality, Supercomputing and Design. HPDC (1996)
Thomas A. DeFanti, Maxine D. Brown, Rick L. Stevens
Virtual Reality Over High-Speed Networks. IEEE Computer Graphics and Applications 16 (4) (1996)
Valerie E. Taylor, Jian Chen, Milana Huang, Thomas Canfield, Rick L. Stevens
Identifying and reducing critical lag in finite element simulations. IEEE Computer Graphics and Applications 16 (4) (1996)
Ian T. Foster, William Gropp, Rick L. Stevens
Parallel Scalability of the Spectral Transform Method. PPSC (1991)
Larry Wos, Steve Winker, William McCune, Ross A. Overbeek, Ewing L. Lusk, Rick L. Stevens, Ralph Butler
Automated Reasoning Contributed to Mathematics and Logic. CADE (1990)
Ian T. Foster, Rick L. Stevens
Parallel Programming with Algorithmic Motifs. ICPP (2) (1990)
Rick L. Stevens
Challenge Problems from Nonassociative Rings for Theorem Provers. CADE (1988)
Ralph Butler, Terry Disz, Ewing L. Lusk, Robert Olson, Ross A. Overbeek, Rick L. Stevens
Scheduling OR-Parallelism: An Argonne Perspective. ICLP/SLP (1988)
Ewing L. Lusk, Ralph Butler, Terry Disz, Robert Olson, Ross A. Overbeek, Rick L. Stevens, David H. D. Warren, Alan Calderwood, Péter Szeredi, Seif Haridi, Per Brand, Mats Carlsson, Andrzej Ciepielewski, Bogumil Hausman
The Aurora Or-Parallel Prolog System. FGCS (1988)
Rick L. Stevens
Some Experiments in Nonassociative Ring Theory with an Automated Theorem Prover. J. Autom. Reason. 3 (2) (1987)