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Publication search results
found 313 matches
- 2024
- J. Harry Caufield, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, Hyeongsik Kim, Sierra A. T. Moxon, Justin T. Reese, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall:
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. Bioinform. 40(3) (2024) - Lauren E. Chan, Elena Casiraghi, Justin T. Reese, Quaker E. Harmon, Kevin Schaper, Harshad Hegde, Giorgio Valentini, Charles Schmitt, Alison A. Motsinger-Reif, Janet E. Hall, Christopher J. Mungall, Peter N. Robinson, Melissa A. Haendel:
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. Int. J. Medical Informatics 187: 105461 (2024) - James Lo, Kevin Du, David Lee, Chun Zeng, Jiyo S. Athertya, Melissa Lou Silva, Reese Flechner, Graeme M. Bydder, Yajun Ma:
Multicompartment imaging of the brain using a comprehensive MR imaging protocol. NeuroImage 298: 120800 (2024) - Sophia Ppali, Marina Pasia, Sara Wolf, Jihae Han, Reese Muntean, Minyoung Yoo, Kasper Rodil, Arne Berger, Andreas Papallas, Luigina Ciolfi, John Stevens, Alexandra Covaci:
Sensing Heritage: Exploring Creative Approaches for Capturing, Experiencing and Safeguarding the Sensorial Aspects of Cultural Heritage. Conference on Designing Interactive Systems (Companion Volume) 2024 - Abdullah Zubair Mohammed, Louis Jenkins, Rees R. Hatch, Gökçen Yilmaz Dayanikli, Craig Simpson, Ryan M. Gerdes, Hongjie Wang:
The IEMI Effect: On the Efficacy of PCB-Level Countermeasures in Adversarial Environments. EuroS&P 2024: 361-380 - Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour:
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation. CoRR abs/2402.12649 (2024) - Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee:
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks. CoRR abs/2404.02300 (2024) - Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika:
The Ethics of Advanced AI Assistants. CoRR abs/2404.16244 (2024) - Bowen Zhang, S. Shailja, Chandrakanth Gudavalli, Connor Levenson, Amil Khan, B. S. Manjunath:
ReeSPOT: Reeb Graph Models Semantic Patterns of Normalcy in Human Trajectories. CoRR abs/2405.00808 (2024) - Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan:
The Impossibility of Fair LLMs. CoRR abs/2406.03198 (2024) - Hooman Danesh, Daniele Di Lorenzo, Francisco Chinesta, Stefanie Reese, Tim Brepols:
FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design. CoRR abs/2408.13532 (2024) - 2023
- Guy Karlebach, Leigh Carmody, Jagadish Chandrabose Sundaramurthi, Elena Casiraghi, Peter Hansen, Justin T. Reese, Christopher J. Mungall, Giorgio Valentini, Peter N. Robinson:
An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinform. 39(4) (2023) - Mahmoud Sesa, Hagen Holthusen, Lukas Lamm, Christian Böhm, Tim Brepols, Stefan Jockenhövel, Stefanie Reese:
Mechanical modeling of the maturation process for tissue-engineered implants: Application to biohybrid heart valves. Comput. Biol. Medicine 167: 107623 (2023) - Anne E. Thessen, Laurel Cooper, Tyson L. Swetnam, Harshad Hegde, Justin T. Reese, Justin Elser, Pankaj Jaiswal:
Using knowledge graphs to infer gene expression in plants. Frontiers Artif. Intell. 6 (2023) - Siru Liu, Allison B. McCoy, Melinda C. Aldrich, Kim L. Sandler, Thomas J. Reese, Bryan D. Steitz, Jiang Bian, Yonghui Wu, Elise M. Russo, Adam Wright:
Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record. Int. J. Medical Informatics 177: 105136 (2023) - Xiaoxiao Liu, Mohammad Alharbi, Jian Chen, Alexandra Diehl, Dylan Rees, Elif E. Firat, Qiru Wang, Robert S. Laramee:
Visualization Resources: A Survey. Inf. Vis. 22(1): 3-30 (2023) - Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins:
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics 139: 104295 (2023) - Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Latent Transformer Models for out-of-distribution detection. Medical Image Anal. 90: 102967 (2023) - Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Carlos Cano, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini:
GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat. Comput. Sci. 3(6): 552-568 (2023) - Timothy Lawn, Daniel Martins, Owen G. O'Daly, Steven C. R. Williams, Matthew Alexander Howard, Ottavia Dipasquale:
The effects of propofol anaesthesia on molecular-enriched networks during resting-state and naturalistic listening. NeuroImage 271: 120018 (2023) - Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023) - Reese Levine, Tianhao Guo, Mingun Cho, Alan Baker, Raph Levien, David Neto, Andrew Quinn, Tyler Sorensen:
MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications. ASPLOS (2) 2023: 473-488 - Kalle Westerling, David Beavan, Kaspar Beelen, Mariona Coll Ardanuy, Timothy Hobson, Christina Last, Nilo Pedrazzini, Griffith Reese, Luke Hare:
Metadata Enrichment in the Living with Machines Project: User-focused Collaborative Database Development in a Digital Humanities Context. DH 2023 - Khalid O. Yusuf, Irina Chaplinskaya-Sobol, Anne Schoneberg, Sabine Hanß, Heike Valentin, Bettina Lorenz-Depiereux, Stefan Hansch, Karin Fiedler, Margarete Scherer, Shimita Sikdar, Olga Miljukov, Jens-Peter Reese, Patricia Wagner, Isabel Bröhl, Ramsia Geisler, Jörg Janne Vehreschild, Sabine Blaschke, Carla Bellinghausen, Milena Milovanovic, Dagmar Krefting:
Impact of Clinical Study Implementation on Data Quality Assessments - Using Contradictions within Interdependent Health Data Items as a Pilot Indicator. GMDS 2023: 152-158 - Kaveen Liyanage, Reese Pearsall, Clemente Izurieta, Bradley M. Whitaker:
Dictionary Learning on Graph Data with Weisfieler-Lehman Sub-Tree Kernel and Ksvd. ICASSP 2023: 1-5 - Craig Knuth, Glen Chou, Jamie Reese, Joseph L. Moore:
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems. ICRA 2023: 12700-12706 - Luca Cappelletti, Tommaso Fontana, Justin T. Reese, David A. Bader:
Billion-scale Detection of Isomorphic Nodes. IPDPS Workshops 2023: 230-233 - Reese Levine, Mingun Cho, Devon McKee, Andrew Quinn, Tyler Sorensen:
GPUHarbor: Testing GPU Memory Consistency at Large (Experience Paper). ISSTA 2023: 779-791 - Luca Cappelletti, Stefano Taverni, Tommaso Fontana, Marcin P. Joachimiak, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini:
Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. IWBBIO (2) 2023: 372-383 - Yan Sun, Yifan Yuan, Zeduo Yu, Reese Kuper, Chihun Song, Jinghan Huang, Houxiang Ji, Siddharth Agarwal, Jiaqi Lou, Ipoom Jeong, Ren Wang, Jung Ho Ahn, Tianyin Xu, Nam Sung Kim:
Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices. MICRO 2023: 105-121
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