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Publication search results
found 29 matches
- 2024
- Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz:
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. Comput. Chem. Eng. 180: 108471 (2024) - Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao:
Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 149: 104576 (2024) - 2023
- Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz:
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data. CoRR abs/2309.00564 (2023) - 2022
- Vijay Gehlot, Elliot B. Sloane, Michael Kirk, Eric Miller, Jonathan L. Schaffer, Nilmini Wickramasinghe:
COVID-19 and Beyond: Taming the Virtual Healthcare Tiger with Colored Petri Nets based Modeling and Simulation. HICSS 2022: 1-10 - 2021
- Kevin De Angeli, Shang Gao, Mohammed M. Alawad, Hong-Jun Yoon, Noah Schaefferkoetter, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi:
Deep active learning for classifying cancer pathology reports. BMC Bioinform. 22(1): 113 (2021) - Alejandro A. Schäffer, Richard McVeigh, Barbara Robbertse, Conrad L. Schoch, Anjanette Johnston, Beverly A. Underwood, Ilene Karsch-Mizrachi, Eric P. Nawrocki:
Ribovore: ribosomal RNA sequence analysis for GenBank submissions and database curation. BMC Bioinform. 22(1): 400 (2021) - Shang Gao, Mohammed M. Alawad, M. Todd Young, John Gounley, Noah Schaefferkoetter, Hong-Jun Yoon, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Georgia D. Tourassi:
Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics 25(9): 3596-3607 (2021) - 2020
- Alejandro A. Schäffer, Eneida Hatcher, Linda Yankie, Lara Shonkwiler, J. Rodney Brister, Ilene Karsch-Mizrachi, Eric P. Nawrocki:
VADR: validation and annotation of virus sequence submissions to GenBank. BMC Bioinform. 21(1): 211 (2020) - Anqi Wu, Estefany Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora E. Angelaki, Andrés Bendesky, International Brain Laboratory, John P. Cunningham, Liam Paninski:
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. NeurIPS 2020 - Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Kumkum Ganguly, Gopinath Chennupati, Sunil Thulasidasan, Nicolas W. Hengartner, Brent J. Mumphrey, Eric B. Durbin, Jennifer A. Doherty, Mireille Lemieux, Noah Schaefferkoetter, Georgia D. Tourassi, Linda Coyle, Lynne Penberthy, Benjamin McMahon, Tanmoy Bhattacharya:
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. CoRR abs/2009.05094 (2020) - 2019
- Mohammed M. Alawad, Shang Gao, John X. Qiu, Noah Schaefferkoetter, Jacob D. Hinkle, Hong-Jun Yoon, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, Isaac Hands, David Rust, Georgia D. Tourassi:
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI 2019: 1-4 - 2018
- Alejandro A. Schäffer, Eric P. Nawrocki, Yoon Choi, Paul A. Kitts, Ilene Karsch-Mizrachi, Richard McVeigh:
VecScreen_plus_taxonomy: imposing a tax(onomy) increase on vector contamination screening. Bioinform. 34(5): 755-759 (2018) - Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier:
Frangi-Net. Bildverarbeitung für die Medizin 2018: 341-346 - 2017
- Chen Fei Du, Hamoon Mousavi, Eric Rowland, Luke Schaeffer, Jeffrey O. Shallit:
Decision algorithms for Fibonacci-automatic words, II: Related sequences and avoidability. Theor. Comput. Sci. 657: 146-162 (2017) - 2016
- Marguerite Swietlik, Sara J. Deakyne Davies, Jeffrey Hoffman, Robert Grundmeier, Marilyn D. Paterno, Beatriz H. Rocha, Molly Schaeffer, Deepika Pabbathi, Evaline Alessandrini, Dustin Ballard, Howard Goldberg, Nathan Kuppermann, Peter Dayan, Eric Tham:
Clinical Decision Support for a Multicenter Trial of Pediatric Head Trauma. Appl. Clin. Inform. 07(02): 534-542 (2016) - Howard S. Goldberg, Marilyn D. Paterno, Robert Grundmeier, Beatriz H. Rocha, Jeffrey Hoffman, Eric Tham, Marguerite Swietlik, Molly Schaeffer, Deepika Pabbathi, Sara J. Deakyne Davies, Nathan Kuppermann, Peter S. Dayan:
Use of a remote clinical decision support service for a multicenter trial to implement prediction rules for children with minor blunt head trauma. Int. J. Medical Informatics 87: 101-110 (2016) - 2013
- Mladen A. Vouk, Samuel F. Averitt, Patrick Dreher, Dennis H. Kekas, Andy Kurth, Marc I. Hoit, Paul Mugge, Aaron Peeler, Henry E. Schaffer, Eric D. Sills, Sarah Stein, John Streck, Josh Thompson, David Wright:
Constructing next generation academic cloud services. Int. J. Cloud Comput. 2(2/3): 104-122 (2013) - Kevin Schenk, Adel Lari, Matthew Church, Eric Graves, Jason Duncan, Robin Miller, Neesha Desai, Richard Zhao, Duane Szafron, Mike Carbonaro, Jonathan Schaeffer:
ScriptEase II: Platform Independent Story Creation Using High-Level Patterns. AIIDE 2013 - 2012
- Joseph A. Konstan, Aaron Marcus, Karen Holtzblatt, Eric Schaffer:
Creating great user experience: facing the challenges ahead. CHI Extended Abstracts 2012: 1115-1118 - 2011
- Matthew Church, Eric Graves, Jason Duncan, Adel Lari, Robin Miller, Neesha Desai, Richard Zhao, Mike Carbonaro, Jonathan Schaeffer, Nathan R. Sturtevant, Duane Szafron:
A Demonstration of ScriptEase II. AIIDE 2011 - 2010
- Dagmar Müller, István Winkler, Urte Roeber, Susann Schaffer, István Czigler, Erich Schröger:
Visual Object Representations Can Be Formed outside the Focus of Voluntary Attention: Evidence from Event-related Brain Potentials. J. Cogn. Neurosci. 22(6): 1179-1188 (2010) - 2009
- Henry E. Schaffer, Samuel F. Averitt, Marc I. Hoit, Aaron Peeler, Eric D. Sills, Mladen A. Vouk:
NCSU's Virtual Computing Lab: A Cloud Computing Solution. Computer 42(7): 94-97 (2009) - Mladen A. Vouk, Andy J. Rindos, Samuel F. Averitt, John Bass, Michael Bugaev, Andy Kurth, Aaron Peeler, Henry E. Schaffer, Eric D. Sills, Sarah Stein, Josh Thompson, Matthew P. Valenzisi:
Using VCL technology to implement distributed reconfigurable data centers and computational services for educational institutions. IBM J. Res. Dev. 53(4): 2 (2009) - 2008
- Anne J. Catllá, David G. Schaeffer, Thomas P. Witelski, Eric E. Monson, Anna L. Lin:
On Spiking Models for Synaptic Activity and Impulsive Differential Equations. SIAM Rev. 50(3): 553-569 (2008) - 2006
- Eric M. Schaffer:
Offshore usability: helping meet the global demand? Interactions 13(2): 12-13 (2006) - Eric M. Schaffer:
A decision table: offshore or not?: (when not to use offshore resources). Interactions 13(2): 32-33 (2006) - 2005
- Jared M. Spool, Eric M. Schaffer:
The great debate: can usability scale up? CHI Extended Abstracts 2005: 1174-1175 - 2002
- Candido Ferreira Xavier de Mendonça Neto, Karl Schaffer, Erico F. Xavier, Jorge Stolfi, Luérbio Faria, Celina M. H. de Figueiredo:
The splitting number and skewness of Cn x Cm. Ars Comb. 63 (2002) - 1999
- Luiz De Rose, Mario Pantano, Ruth A. Aydt, Eric Shaffer, Benjamin Schaeffer, Shannon Whitmore, Daniel A. Reed:
An Approach to Immersive Performance Visualization of Parallel and Wide-Area Distributed Applications. HPDC 1999: 247-254
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