- 2024
- Pallavi Dubey, Seth Miller, Elif Elçin Günay, John Jackman, Gül E. Kremer, Paul A. Kremer:
Deep learning-powered visual inspection for metal surfaces - Impact of annotations on algorithms based on defect characteristics. Adv. Eng. Informatics 62: 102727 (2024) - Gohta Aihara, Kalen Clifton
, Mayling Chen, Zhuoyan Li, Lyla Atta, Brendan F. Miller, Rahul Satija, John W. Hickey, Jean Fan:
SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis. Bioinform. 40(7) (2024) - Georgia Stinchfield, Joshua C. Morgan, Sakshi Naik, Lorenz T. Biegler, John C. Eslick, Clas Jacobson, David C. Miller, John D. Siirola, Miguel A. Zamarripa, Chen Zhang, Qi Zhang, Carl D. Laird:
A mixed integer linear programming approach for the design of chemical process families. Comput. Chem. Eng. 183: 108620 (2024) - Kale Weichman, Kyle G. Miller, B. Malaca, Warren B. Mori, J. R. Pierce, D. Ramsey, Jorge Vieira, Marija Vranic, John P. Palastro:
Analytic pulse technique for computational electromagnetics. Comput. Phys. Commun. 298: 109096 (2024) - Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy A. Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar:
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. 31(6): 1291-1302 (2024) - John Tauber, Scott L. Brincat, Emily P. Stephen, Jacob A. Donoghue, Leo Kozachkov, Emery N. Brown, Earl K. Miller:
Propofol-mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy. J. Cogn. Neurosci. 36(2): 394-413 (2024) - Brittany Davis Pierson, Dustin Arendt, John Miller, Matthew E. Taylor:
Comparing explanations in RL. Neural Comput. Appl. 36(1): 505-516 (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, Patricia 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) - Guillaume L. Giudicelli, Alexander D. Lindsay, Logan H. Harbour, Casey Icenhour, Mengnan Li, Joshua Hansel, Peter German, Patrick Behne, Oana Marin, Roy H. Stogner, Jason M. Miller, Daniel Schwen, Yaqi Wang, Lynn Munday, Sebastian Schunert, Benjamin W. Spencer, Dewen Yushu, Antonio M. Recuero, Zachary M. Prince, Max Nezdyur, Tianchen Hu, Yinbin Miao, Yeon Sang Jung, Christopher Matthews, April Novak, Brandon Langley, Timothy J. Truster, Nuno Nobre, Brian Alger, David Andrs, Fande Kong, Robert W. Carlsen, Andrew E. Slaughter, John W. Peterson, Derek Gaston, Cody J. Permann:
3.0 - MOOSE: Enabling massively parallel multiphysics simulations. SoftwareX 26: 101690 (2024) - John N. Angelis, Rajendran Murthy, Tanya Beaulieu, Joseph C. Miller:
Better Angry Than Afraid: The Case of Post Data Breach Emotions on Customer Engagement. IEEE Trans. Engineering Management 71: 2593-2605 (2024) - Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe:
DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CVPR 2024: 24118-24129 - Kristina Miller, Christopher K. Zeitler, William Shen, Kerianne Hobbs, John Schierman, Mahesh Viswanathan, Sayan Mitra:
Optimal Runtime Assurance via Reinforcement Learning. ICCPS 2024: 67-76 - John E. Wenskovitch, Corey K. Fallon, Kate Miller, Aritra Dasgupta:
Characterizing Interaction Uncertainty in Human-Machine Teams. ICHMS 2024: 1-6 - Yoo-Jeong Noh, John M. Haynes, Steven D. Miller, Charles White, Brandon Daub, Imme Ebert-Uphoff, Hungjui Yu, Jason Apke, Randy Chase, Katherine Haynes, Jeremy Solbrig, Evan Rose, Matthew King, Leigh Cheatwood:
Building Unified Global 3D Cloud Data From Multiple Satellites For Advancing Weather And Climate Research. IGARSS 2024: 1280-1283 - Haotian Cheng, Naijun Jin, Zhaowei Dai, Chao Xiang, Joel Guo, Yishu Zhou, Scott A. Diddams, Franklyn Quinlan, John E. Bowers, Owen Miller, Peter T. Rakich:
Co-packaged micro reference cavity with photonic integrated circuits. OFC 2024: 1-3 - Christopher K. Zeitler, Kristina Miller, Sayan Mitra, John Schierman, Mahesh Viswanathan:
Optimizing Rewards while meeting $\omega$-regular Constraints. RLC 2024: 2492-2514 - John A. Miller, Mohammed Aldosari, Farah Saeed, Nasid Habib Barna, Subas Rana, Ismailcem Budak Arpinar, Ninghao Liu:
A Survey of Deep Learning and Foundation Models for Time Series Forecasting. CoRR abs/2401.13912 (2024) - John Joshua Miller, Simon Mak:
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters. CoRR abs/2403.03816 (2024) - Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe:
DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CoRR abs/2403.03896 (2024) - Yuning Huang, Mohamed Abul Hassan, Jiangpeng He, Janine A. Higgins, Megan A. McCrory, Heather A. Eicher-Miller, John Graham Thomas, Edward Sazonov, Fengqing Maggie Zhu:
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. CoRR abs/2405.07827 (2024) - 2023
- Suraiya Akhter, John H. Miller:
BaPreS: a software tool for predicting bacteriocins using an optimal set of features. BMC Bioinform. 24(1): 313 (2023) - Jingyu Zhou, Meng Xu, Alexander Shraer, Bala Namasivayam, Alex Miller, Evan Tschannen, Steve Atherton, Andrew J. Beamon, Rusty Sears, John Leach, Dave Rosenthal, Xin Dong, Will Wilson, Ben Collins, David Scherer, Alec Grieser, Yang Liu, Alvin Moore, Bhaskar Muppana, Xiaoge Su, Vishesh Yadav:
FoundationDB: A Distributed Key-Value Store. Commun. ACM 66(6): 97-105 (2023) - David V. Pynadath, Bistra Dilkina, David C. Jeong, Richard S. John, Stacy C. Marsella, Chirag Merchant, Lynn C. Miller, Stephen J. Read:
Disaster world. Comput. Math. Organ. Theory 29(1): 84-117 (2023) - Suraiya Akhter, John H. Miller:
BPAGS: a web application for bacteriocin prediction via feature evaluation using alternating decision tree, genetic algorithm, and linear support vector classifier. Frontiers Bioinform. 3 (2023) - Jessica J. Márquez, Tamsyn Edwards, John A. Karasinski, Candice N. Lee, Megan C. Shyr, Casey L. Miller, Summer L. Brandt:
Human Performance of Novice Schedulers for Complex Spaceflight Operations Timelines. Hum. Factors 65(6): 1183-1198 (2023) - Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - Saurabh Mittal, Robert L. Wittman, John Gibson, Josh Huffman, Hans Miller:
Providing a User Extensible Service-Enabled Multi-Fidelity Hybrid Cloud-Deployable SoS Test and Evaluation (T&E) Infrastructure: Application of Modeling and Simulation (M&S) as a Service (MSaaS). Inf. 14(10): 528 (2023) - Stan Ahalt, Paul Avillach, Rebecca R. Boyles, Kira Bradford, Steven Cox, Brandi Davis-Dusenbery, Robert L. Grossman, Ashok K. Krishnamurthy, Alisa Manning, Benedict Paten, Anthony Philippakis, Ingrid Borecki, Shu Hui Chen, Jon Kaltman, Sweta Ladwa, Chip Schwartz, Alastair Thomson, Sarah Davis, Alison Leaf, Jessica Lyons, Elizabeth Sheets, Joshua C. Bis, Matthew P. Conomos, Alessandro Culotti, Thomas N. Desain, Jack DiGiovanna, Milan Domazet, Stephanie M. Gogarten, Alba Gutiérrez-Sacristán, Tim Harris, Benjamin D. Heavner, Deepti Jain, Brian O'Connor, Kevin Osborn, Danielle Pillion, Jacob Pleiness, Ken Rice, Garrett Rupp, Arnaud Serret-Larmande, Albert Smith, Jason P. Stedman, Adrienne Stilp, Teresa Barsanti, John B. Cheadle, Christopher Erdmann, Brandy Farlow, Allie Gartland-Gray, Julie Hayes, Hannah Hiles, Paul Kerr, Chris Lenhardt, Tom Madden, Joanna O. Mieczkowska, Amanda Miller, Patrick Patton, Marcie Rathbun, Stephanie Suber, Joe Asare:
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. J. Am. Medical Informatics Assoc. 30(7): 1293-1300 (2023) - Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu:
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 30(12): 2036-2040 (2023) - Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar:
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138: 104286 (2023)
