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Publication search results
found 317 matches
- 2024
- Dillon Mayhew, Andrew Probert:
Supersolvable saturated matroids and chordal graphs. Adv. Appl. Math. 153: 102616 (2024) - Amisha S. Raikar, J. Andrew, Pranjali Prabhu Dessai, Sweta M. Prabhu, Shounak Jathar, Aishwarya Prabhu, Mayuri B. Naik, Gokuldas Vedant S. Raikar:
Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development. Artif. Intell. Rev. 57(12): 318 (2024) - Isaac Dunmoye, Andrew Rukangu, Dominik May, Runu P. Das:
An exploratory study of social presence and cognitive engagement association in a collaborative virtual reality learning environment. Comput. Educ. X Real. 4: 100054 (2024) - Dillon Mayhew, Andrew Probert:
Reduced Clique Graphs: A Correction to "Chordal Graphs and Their Clique Graphs". Graphs Comb. 40(3): 58 (2024) - Bertha Chipangila, Eric Liswaniso, Andrew Mawila, Philomena Mwanza, Daisy Nawila, Robert M'sendo, Mayumbo Nyirenda, Lighton Phiri:
Controlled vocabularies in digital libraries: challenges and solutions for increased discoverability of digital objects. Int. J. Digit. Libr. 25(2): 139-155 (2024) - Harm J. van der Horn, Josef Ling, Tracey V. Wick, Andrew B. Dodd, Cidney R. Robertson-Benta, Jessica R. McQuaid, Vadim Zotev, Andrei A. Vakhtin, Sephira G. Ryman, Joana Cabral, John P. Phillips, Richard A. Campbell, Robert E. Sapien, Andrew R. Mayer:
Dynamic Functional Connectivity in Pediatric Mild Traumatic Brain Injury. NeuroImage 285: 120470 (2024) - Vadim Zotev, Jessica R. McQuaid, Cidney R. Robertson-Benta, Anne K. Hittson, Tracey V. Wick, Josef Ling, Harm J. van der Horn, Andrew R. Mayer:
Validation of real-time fMRI neurofeedback procedure for cognitive training using counterbalanced active-sham study design. NeuroImage 290: 120575 (2024) - Andrew T. Duchowski, Peter Kiefer, Krzysztof Krejtz, Jochen Laubrock:
PACMHCI V8, ETRA, May 2024 Editorial. Proc. ACM Hum. Comput. Interact. 8(ETRA): 1 (2024) - Jean-Benoit Delbrouck, Pierre J. Chambon, Zhihong Chen, Maya Varma, Andrew Johnston, Louis Blankemeier, Dave Van Veen, Tan Bui, Steven Quoc Hung Truong, Curtis P. Langlotz:
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. ACL (Findings) 2024: 12902-12915 - Andrew J. Adiletta, M. Caner Tol, Yarkin Doröz, Berk Sunar:
Mayhem: Targeted Corruption of Register and Stack Variables. AsiaCCS 2024 - Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis P. Langlotz, Jean-Benoit Delbrouck:
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!". BioNLP@ACL 2024: 85-98 - Neha Jain, Andrew Hornback, May Dongmei Wang:
EMxDesign: A Genetic Algorithm for High Affinity Drug Design. GECCO Companion 2024: 439-442 - Jieshu Wang, Andrew Maynard, José Lobo, Katina Michael, Sébastien Motsch, Deborah Strumsky:
Knowledge Combination Analysis Reveals That Artificial Intelligence Research Is More Like "Normal Science" Than "Revolutionary Science". HICSS 2024: 5598-5608 - Andrew David Gunter, Maya Thomas, Nikhil Pratap Ghanathe, Steven J. E. Wilton:
Enabling Risk Management of Machine Learning Predictions for FPGA Routability. MLCAD 2024: 31:1-31:9 - Bingzhe Liu, Colin Scott, Mukarram Tariq, Andrew D. Ferguson, Phillipa Gill, Richard Alimi, Omid Alipourfard, Deepak Arulkannan, Virginia Beauregard, Patrick Conner, Philip Brighten Godfrey, Xander Lin, Joon Ong, Mayur Patel, Amr Sabaa, Arjun Singh, Alex Smirnov, Manish Verma, Prerepa V. Viswanadham, Amin Vahdat:
CAPA: An Architecture For Operating Cluster Networks With High Availability. NSDI 2024 - Neeraj Kumar, Pol Mauri Ruiz, Vijay Menon, Igor Kabiljo, Mayank Pundir, Andrew Newell, Daniel Lee, Liyuan Wang, Chunqiang Tang:
Optimizing Resource Allocation in Hyperscale Datacenters: Scalability, Usability, and Experiences. OSDI 2024: 507-528 - Andrew B. Bennett, Maya Israel, Joanne Barrett, Debra "Kelly" Thomas, Jason McKenna:
Special Education Teachers Evaluating the Accessibility of CS Educational Robotics. SIGCSE (2) 2024: 1566-1567 - Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz:
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR abs/2401.12208 (2024) - Mengzhou Li, Chuang Niu, Ge Wang, Maya R. Amma, Krishna M. Chapagain, Stefan Gabrielson, Andrew Li, Kevin Jonker, Niels J. A. De Ruiter, Jennifer A. Clark, Phillip H. Butler, Anthony P. H. Butler, Hengyong Yu:
Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial. CoRR abs/2403.12331 (2024) - Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - Yinan Zhao, Xavier Dumusque, Michael Cretignier, Andrew Collier Cameron, David W. Latham, Mercedes López-Morales, Michel Mayor, Alessandro Sozzetti, Rosario Cosentino, Isidro Gómez-Vargas, Francesco Pepe, Stéphane Udry:
Improving Earth-like planet detection in radial velocity using deep learning. CoRR abs/2405.13247 (2024) - Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari:
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR abs/2406.06512 (2024) - Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White:
A Review of Large Language Models and Autonomous Agents in Chemistry. CoRR abs/2407.01603 (2024) - Talia Gershon, Seetharami Seelam, Brian Belgodere, Milton Bonilla, Lan Hoang, Danny Barnett, I-Hsin Chung, Apoorve Mohan, Ming-Hung Chen, Lixiang Luo, Robert Walkup, Constantinos Evangelinos, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang:
The infrastructure powering IBM's Gen AI model development. CoRR abs/2407.05467 (2024) - J. Mark Bull, Andrew Coughtrie, Deva Deeptimahanti, Mark Hedley, Caoimhín Laoide-Kemp, Christopher M. Maynard, Harry Shepherd, Sebastiaan van de Bund, Michèle Weiland, Benjamin Went:
Performance and scaling of the LFRic weather and climate model on different generations of HPE Cray EX supercomputers. CoRR abs/2409.15859 (2024) - Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis P. Langlotz, Jean-Benoit Delbrouck:
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!". CoRR abs/2409.16603 (2024) - 2023
- Alejandro Gutierrez, Anup Tuladhar, Matthias Wilms, Deepthi Rajashekar, Michael D. Hill, Andrew Demchuk, Mayank Goyal, Jens Fiehler, Nils D. Forkert:
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Int. J. Comput. Assist. Radiol. Surg. 18(5): 827-836 (2023) - Robert M. Davison, Ann Majchrzak, Andrew M. Hardin, Mayasandra-Nagaraja Ravishankar:
Special issue on responsible IS research for a better world. Inf. Syst. J. 33(1): 1-7 (2023) - John D. Mayfield, Katie Bailey, Andrew A. Borkowski, Narayan Viswanadhan:
Pilot Lightweight Denoising Algorithm for Multiple Sclerosis on Spine MRI. J. Digit. Imaging 36(4): 1877-1884 (2023) - Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023)
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