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Publication search results
found 310 matches
- 2024
- George C. Bourantas, Benjamin F. Zwick, Dimitrios S. Lampropoulos, Vassilios C. Loukopoulos, K. Katsanos, A. A. Dimas, Vasilis N. Burganos, Adam Wittek, Karol Miller:
A multiblock (MIB) finite element method for accurate and efficient blood flow simulation. J. Comput. Phys. 518: 113329 (2024) - Marlee M. Vandewouw, Ami Norris-Brilliant, Anum Rahman, Stephania Assimopoulos, Sarah U. Morton, Azadeh Kushki, Sean Cunningham, Eileen King, Elizabeth Goldmuntz, Thomas A. Miller, Nina H. Thomas, Heather R. Adams, John Cleveland, James F. Cnota, P. Ellen Grant, Caren S. Goldberg, Hao Huang, Jennifer S. Li, Patrick S. McQuillen, George A. Porter, Amy E. Roberts, Mark W. Russell, Christine E. Seidman, Madalina E. Tivarus, Wendy K. Chung, Donald J. Hagler, Jane W. Newburger, Ashok Panigrahy, Jason P. Lerch, Bruce D. Gelb, Evdokia Anagnostou:
Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. NeuroImage 297: 120721 (2024) - Hang Wang, Zhen Xiang, David J. Miller, George Kesidis:
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic. SP 2024: 1994-2012 - Xi Li, Hang Wang, David J. Miller, George Kesidis:
Universal Post-Training Reverse-Engineering Defense Against Backdoors in Deep Neural Networks. CoRR abs/2402.02034 (2024) - Jayaram Raghuram, George Kesidis, David J. Miller:
On Trojans in Refined Language Models. CoRR abs/2406.07778 (2024) - George T. Heineman, Chase Miller, Daniel Reichman, Andrew Salls, Gábor Sárközy, Duncan Soiffer:
Improved Lower Bounds on the Expected Length of Longest Common Subsequences. CoRR abs/2407.10925 (2024) - 2023
- Benjamin F. Zwick, George C. Bourantas, Farah Alkhatib, Adam Wittek, Karol Miller:
Recovery by discretization corrected particle strength exchange (DC PSE) operators. Appl. Math. Comput. 448: 127923 (2023) - Benjamin F. Zwick, George C. Bourantas, Farah Alkhatib, Adam Wittek, Karol Miller:
Corrigendum to 'Recovery by discretization corrected particle strength exchange (DC PSE) operators': Applied Mathematics and Computation 448 (2023) 127923. Appl. Math. Comput. 450: 128047 (2023) - Ethan L. Miller, George V. Neville-Neil, Achilles Benetopoulos, Pankaj Mehra, Daniel Bittman:
Pointers in Far Memory. Commun. ACM 66(12): 40-45 (2023) - Saima Safdar, Benjamin F. Zwick, Yue Yu, George C. Bourantas, Grand R. Joldes, Simon K. Warfield, Damon E. Hyde, Sarah F. Frisken, Tina Kapur, Ron Kikinis, Alexandra J. Golby, Arya Nabavi, Adam Wittek, Karol Miller:
SlicerCBM: automatic framework for biomechanical analysis of the brain. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1925-1940 (2023) - Hang Wang, David J. Miller, George Kesidis:
Anomaly detection of adversarial examples using class-conditional generative adversarial networks. Comput. Secur. 124: 102956 (2023) - George A. Reis, Michael E. Miller, Eric E. Geiselman, Brent T. Langhals, Christine M. Schubert-Kabban, Julie Ann Jackson:
Effect of visual field asymmetries on performance while utilizing aircraft attitude symbology. Displays 77: 102404 (2023) - Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes:
Biological research and self-driving labs in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 208-219 (2023) - Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes:
Biomonitoring and precision health in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 196-207 (2023) - Xi Chen, Yuan Wang, Antonio Cappuccio, Wan-Sze Cheng, Frederique Ruf Zamojski, Venugopalan D. Nair, Clare M. Miller, Aliza B. Rubenstein, German Nudelman, Alicja Tadych, Chandra L. Theesfeld, Alexandria Vornholt, Mary-Catherine George, Felicia Ruffin, Michael Dagher, Daniel G. Chawla, Alessandra Soares-Schanoski, Rachel R. Spurbeck, Lishomwa C. Ndhlovu, Robert P. Sebra, Steven H. Kleinstein, Andrew G. Letizia, Irene Ramos, Vance G. Fowler, Christopher W. Woods, Elena Zaslavsky, Olga G. Troyanskaya, Stuart C. Sealfon:
Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data. Nat. Comput. Sci. 3(7): 644-657 (2023) - Xi Chen, Yuan Wang, Antonio Cappuccio, Wan-Sze Cheng, Frederique Ruf Zamojski, Venugopalan D. Nair, Clare M. Miller, Aliza B. Rubenstein, German Nudelman, Alicja Tadych, Chandra L. Theesfeld, Alexandria Vornholt, Mary-Catherine George, Felicia Ruffin, Michael Dagher, Daniel G. Chawla, Alessandra Soares-Schanoski, Rachel R. Spurbeck, Lishomwa C. Ndhlovu, Robert P. Sebra, Steven H. Kleinstein, Andrew G. Letizia, Irene Ramos, Vance G. Fowler, Christopher W. Woods, Elena Zaslavsky, Olga G. Troyanskaya, Stuart C. Sealfon:
Author Correction: Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data. Nat. Comput. Sci. 3(9): 805 (2023) - Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - Ethan L. Miller, Achilles Benetopoulos, George V. Neville-Neil, Pankaj Mehra, Daniel Bittman:
Pointers in Far Memory: A rethink of how data and computations should be organized. ACM Queue 21(3): 75-93 (2023) - Dan Denninghoff, F. Erdem Arkun, Jeong-Sun Moon, Haidang Tran, Andrea L. Corrion, Georges Siddiqi, David Fanning, Micha Fireman, J. Tai, Joel Wong, Bob Grabar, C. Dao, Ivan Milosavljevic, Ryan Tran, Ariel Getter, Andrew Clapper, S. Dadafshar, J. Georgieva, H. Moyer, Nicholas C. Miller, Michael Elliott, Ryan Gilbert:
Adaptable 40 nm GaN T-Gate MMIC Processes for Millimeter-Wave Applications. BCICTS 2023: 118-123 - Anthony Manuel Morales-Badajoz, Neville Elieh, April Diederich, Elliot Sadler, Jasmine Glover, Manoj Nizampatnam, Troy Israel, Andrew Wang, Larry Zhang, Annette Besnilian, Andreas George, Julie Miller, Xunfei Jiang, Bingbing Li:
Astro Cultivators: Autonomous Growth System for Space Farming based on Machine Vision and Multi-Sensor Fusion. CPS-IoT Week Workshops 2023: 385-390 - F. Erdem Arkun, Dan Denninghoff, Haidang Tran, Ryan Tran, Nicholas C. Miller, Michael Elliott, Ryan Gilbert, Ivan Milosavljevic, Georges Siddiqi, Micha Fireman, Andrea L. Corrion, David Fanning, Christi Peterson, Ariel Getter, Andrew Clapper:
W-band fully passivated AlN/GaN HEMT device with 56% power-added efficiency and 780 mW/mm output power density at 94 GHz. DRC 2023: 1-2 - Hang Wang, Sahar Karami, Ousmane Dia, Hippolyt Ritter, Ehsan Emamjomeh-Zadeh, Jiahui Chen, Zhen Xiang, David J. Miller, George Kesidis:
Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning. ICASSP 2023: 1-5 - Nhan V. Do, Danne C. Elbers, Nathanael R. Fillmore, Samuel Ajjarapu, Steven J. Bergstrom, John Bihn, June K. Corrigan, Rupali Dhond, Svitlana Dipietro, Arkadiy Dolgin, Theodore C. Feldman, Sergey D. Goryachev, Linden B. Huhmann, Jennifer La, Paul A. Marcantonio, Kyle M. McGrath, Stephen J. Miller, Vinh Q. Nguyen, George R. Schneeloch, Feng-Chi Sung, Kaitlin N. Swinnerton, Amelia H. Tarren, Hannah M. Tosi, Danielle Valley, Austin D. Vo, Cenk Yildirim, Chunlei Zheng, Robert Zwolinski, Gisele A. Sarosy, David Loose, Colleen Shannon, Mary T. Brophy:
Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow. MedInfo 2023: 1086-1090 - Xi Li, David J. Miller, Zhen Xiang, George Kesidis:
A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers. MLSP 2023: 1-6 - Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - Hang Wang, Zhen Xiang, David J. Miller, George Kesidis:
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. CoRR abs/2308.04617 (2023) - Xi Li, Zhen Xiang, David J. Miller, George Kesidis:
Backdoor Mitigation by Correcting the Distribution of Neural Activations. CoRR abs/2308.09850 (2023) - Hang Wang, David J. Miller, George Kesidis:
Post-Training Overfitting Mitigation in DNN Classifiers. CoRR abs/2309.16827 (2023)
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