• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 157 matches

• 2024
• 
  Shaun M. Fallat, Neha Joshi, Roghayeh Maleki, Karen Meagher, Seyed Ahmad Mojallal, Shahla Nasserasr, Mahsa N. Shirazi, Andriaherimanana Sarobidy Razafimahatratra, Brett Stevens:
  The q-analogue of zero forcing for certain families of graphs. Discret. Appl. Math. 348: 91-104 (2024)
• 
  Xiaoxu Cai, Gaige Wang, Jianwen Lou, Muwei Jian, Junyu Dong, Rung-Ching Chen, Brett Stevens, Hui Yu:
  Perceptual loss guided Generative adversarial network for saliency detection. Inf. Sci. 654: 119625 (2024)
• 
  Charlotte Croucher, Wendy A. Powell, Brett Stevens, Matt Dicks, Vaughan Powell, Travis J. Wiltshire, Pieter Spronck:
  LoCoMoTe - A Framework for Classification of Natural Locomotion in VR by Task, Technique and Modality. IEEE Trans. Vis. Comput. Graph. 30(8): 5765-5781 (2024)
• 
  Archit Vasan, Ozan Gökdemir, Alexander Brace, Arvind Ramanathan, Thomas S. Brettin, Rick Stevens, Venkatram Vishwanath:
  High Performance Binding Affinity Prediction with a Transformer-Based Surrogate Model. IPDPS (Workshops) 2024: 571-580
• 
  Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Andreas Wilke, Yitan Zhu, Austin Clyde, Sara Jones, Rohan Gnanaolivu, Yuanhang Liu, Jun Jiang, Chen Wang, Carter Knutson, Andrew D. McNaughton, Neeraj Kumar, Gayara Demini Fernando, Souparno Ghosh, Cesar Sanchez-Villalobos, Ruibo Zhang, Ranadip Pal, M. Ryan Weil, Rick L. Stevens:
  Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data. CoRR abs/2409.12215 (2024)
• 2023
• 
  Karen Meagher, Mahsa N. Shirazi, Brett Stevens:
  An extension of the Erdős-Ko-Rado theorem to uniform set partitions. Ars Math. Contemp. 23(4) (2023)
• 
  Daniel Panario, Lucas Pandolfo Perin, Brett Stevens:
  Comparing balanced sequences obtained from ElGamal function to random balanced sequences. Cryptogr. Commun. 15(3): 675-707 (2023)
• 
  Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan:
  GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (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): 678-689 (2023)
• 
  Justin M. Wozniak, Rajeev Jain, Andreas Wilke, Rylie Weaver, Alexander Partin, Thomas S. Brettin, Rick Stevens:
  An Automation Framework for Comparison of Cancer Response Models Across Configurations. e-Science 2023: 1-10
• 
  Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens:
  Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction. SC Workshops 2023: 121-122
• 
  Archit Vasan, Thomas S. Brettin, Rick Stevens, Arvind Ramanathan, Venkatram Vishwanath:
  Scalable Lead Prediction with Transformers using HPC resources. SC Workshops 2023: 123
• 
  Rafael Vescovi, Tobias Ginsburg, Kyle Hippe, Doga Ozgulbas, Casey Stone, Abraham Stroka, Rory Butler, Ben Blaiszik, Tom Brettin, Kyle Chard, Mark Hereld, Arvind Ramanathan, Rick Stevens, Aikaterini Vriza, Jie Xu, Qingteng Zhang, Ian T. Foster:
  Towards a Modular Architecture for Science Factories. CoRR abs/2308.09793 (2023)
• 
  Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
  DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023)
• 2022
• 
  Fangfang Xia, Jonathan E. Allen, Prasanna Balaprakash, Thomas S. Brettin, Cristina Garcia-Cardona, Austin Clyde, Judith D. Cohn, James H. Doroshow, Xiaotian Duan, Veronika Dubinkina, Yvonne A. Evrard, Ya Ju Fan, Jason Gans, Stewart He, Pinyi Lu, Sergei Maslov, Alexander Partin, Maulik Shukla, Eric A. Stahlberg, Justin M. Wozniak, Hyun Seung Yoo, George F. Zaki, Yitan Zhu, Rick Stevens:
  A cross-study analysis of drug response prediction in cancer cell lines. Briefings Bioinform. 23(1) (2022)
• 
  Phillip Brown, Wendy A. Powell, Neil Dansey, Miznah Al-Abbadey, Brett Stevens, Vaughan Powell:
  Virtual Reality as a Pain Distraction Modality for Experimentally Induced Pain in a Chronic Pain Population: An Exploratory Study. Cyberpsychology Behav. Soc. Netw. 25(1): 66-71 (2022)
• 
  Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens:
  High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor. J. Chem. Inf. Model. 62(1): 116-128 (2022)
• 
  Winston Campeau, Andrew M. Simons, Brett Stevens:
  The evolutionary maintenance of Lévy flight foraging. PLoS Comput. Biol. 18(1) (2022)
• 
  Noah Rubin, Curtis Bright, Brett Stevens, Kevin K. H. Cheung:
  Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract). AAAI 2022: 13037-13038
• 
  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
• 
  Odae Al Aboud, Daniel Panario, Brett Stevens:
  Maximum-Length Low-Density MDS Codes and Near Resolvable Designs. ISIT 2022: 2178-2183
• 
  Kirsten Nelson, Daniel Panario, Brett Stevens:
  Equivalence Classes and Balance Properties of Interleaved Sequences. IWSDA 2022: 1-5
• 
  André Guerino Castoldi, Lucia Moura, Daniel Panario, Brett Stevens:
  Ordered Orthogonal Array Construction Using LFSR Sequences. CoRR abs/2208.00333 (2022)
• 
  André Guerino Castoldi, Emerson L. Monte Carmelo, Lucia Moura, Daniel Panario, Brett Stevens:
  Ordered Covering Arrays and Upper Bounds on Covering Codes in NRT spaces. CoRR abs/2208.01410 (2022)
• 
  André Guerino Castoldi, Emerson Luiz do Monte Carmelo, Lucia Moura, Daniel Panario, Brett Stevens:
  Bounds on Covering Codes in RT spaces using Ordered Covering Arrays. CoRR abs/2208.01412 (2022)
• 
  Charles J. Colbourn, Colin Ingalls, Jonathan Jedwab, Mark Saaltink, Ken W. Smith, Brett Stevens:
  Sets of mutually orthogoval projective and affine planes. CoRR abs/2210.11961 (2022)
• 
  Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie C. Overbeek, Rick L. Stevens:
  Deep learning methods for drug response prediction in cancer: predominant and emerging trends. CoRR abs/2211.10442 (2022)
• 2021
• 
  Margo VanOeffelen, Marcus Nguyen, Derya Aytan-Aktug, Thomas S. Brettin, Emily M. Dietrich, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Robert Olson, Gordon D. Pusch, Maulik Shukla, Rick Stevens, Veronika Vonstein, Andrew S. Warren, Alice R. Wattam, Hyun Seung Yoo, James J. Davis:
  A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes. Briefings Bioinform. 22(6) (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): 252 (2021)
• 
  Charlotte Croucher, Wendy A. Powell, Matt Dicks, Brett Stevens, Vaughan Powell:
  The Use of Embedded Context-Sensitive Attractors for Clinical Walking Test Guidance in Virtual Reality. Frontiers Virtual Real. 2: 621965 (2021)

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