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- Daniel A. Smith
aka: Daniel Alexander Smith - Alexander D. Smith
aka: Alex D. Smith - Alexander Driskill-Smith
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Publication search results
found 250 matches
- 2024
- Hongye Zhang, Matteo Felice Iacchetti, Alexander C. Smith, Paul M. Tuohy, Charalampos D. Manolopoulos, Alexandru-Vlad Rusu, Vicente Climente-Alarcon:
Electromagnetic Characterization of Hyperconducting Aluminum Litz Wires at Cryogenic Temperatures. IEEE Access 12: 60234-60245 (2024) - Andrew Strelzoff, Benjamin D. Trump, Christopher L. Cummings, Madison Smith, Stephanie Elisabeth Galaitsi, Kelsey Stoddard, Jeffrey M. Keisler, Moshe Y. Vardi, Nathaniel Bastian, Alexander Kott, Igor Linkov:
Human Intuition and Algorithmic Efficiency Must Be Balanced to Enhance Data Mesh Resilience. Commun. ACM 67(5): 48-51 (2024) - Alexander D. Smith, Steven Schilling, Prodromos Daoutidis:
Automated characterization and monitoring of material shape using Riemannian geometry. Comput. Chem. Eng. 181: 108525 (2024) - Alexander Bartnik, Lucas M. Serra, Mackenzie T. Smith, William D. Duncan, Lauren Wishnie, Alan Ruttenberg, Michael G. Dwyer, Alexander D. Diehl:
MRIO: the Magnetic Resonance Imaging Acquisition and Analysis Ontology. Neuroinformatics 22(3): 269-283 (2024) - Alexander Bartnik, Sujal Singh, Conan Sum, Mackenzie T. Smith, Niels Bergsland, Robert Zivadinov, Michael G. Dwyer:
An Automated Tool to Classify and Transform Unstructured MRI Data into BIDS Datasets. Neuroinformatics 22(3): 229-238 (2024) - Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew S. Lan:
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. AIED (1) 2024: 280-294 - LaGrande Gunnell, Krystian X. Perez, Ivan Castillo, Rob Hoogerwerf, Alexander D. Smith, You Peng, John D. Hedengren:
Detection of Valve Stiction in Industrial Control Loops through Continuous Wavelet Transformation With a CNN*. ACC 2024: 1512-1517 - Alexander Scarlatos, Wanyong Feng, Andrew S. Lan, Simon Woodhead, Digory Smith:
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank. BEA 2024: 222-231 - Florian 'Floyd' Mueller, Maria F. Montoya, Sarah Jane Pell, Leif Oppermann, Mark Blythe, Paul H. Dietz, Joe Marshall, Scott Bateman, Ian C. J. Smith, Swamy Ananthanarayan, Ali Mazalek, Alexander Verni, Alexander Bakogeorge, Mathieu Simonnet, Kirsten Ellis, Nathan Arthur Semertzidis, Winslow Burleson, John Quarles, Steve Mann, Christian N. Hill, Christal Clashing, Don Samitha Elvitigala:
Grand challenges in WaterHCI. CHI 2024: 225:1-225:18 - Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha:
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip. ISSCC 2024: 214-215 - Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew S. Lan:
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models. NAACL-HLT (Findings) 2024: 3067-3082 - Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew S. Lan:
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. CoRR abs/2403.01304 (2024) - Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew S. Lan:
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models. CoRR abs/2404.02124 (2024) - Alexander Scarlatos, Wanyong Feng, Digory Smith, Simon Woodhead, Andrew S. Lan:
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank. CoRR abs/2405.05144 (2024) - Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - Lennart Alexander Van der Goten, Jingyu Guo, Kevin Smith:
MAMOC: MRI Motion Correction via Masked Autoencoding. CoRR abs/2405.14590 (2024) - 2023
- Danylo Khodosevych, Alexander C. Bodoh, Ashiq A. Sakib, Scott C. Smith:
Combining Relaxation With NCL_X for Enhanced Optimization of Asynchronous Null Convention Logic Circuits. IEEE Access 11: 104688-104699 (2023) - Alexander G. Yearley, Caroline M. W. Goedmakers, Armon Panahi, Joanne Doucette, Aakanksha Rana, Kavitha Ranganathan, Timothy R. Smith:
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval. Artif. Intell. Medicine 143: 102607 (2023) - Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter K. Koo, Sergey Ovchinnikov:
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman. Bioinform. 39(1) (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) - Benjamin Alexander Albert, Yunxiao Yang, Xiaoshan M. Shao, Dipika Singh, Kellie N. Smith, Valsamo Anagnostou, Rachel Karchin:
Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity. Nat. Mac. Intell. 5(8): 861-872 (2023) - Abhinav Dahiya, Alexander Mois Aroyo, Kerstin Dautenhahn, Stephen L. Smith:
A survey of multi-agent Human-Robot Interaction systems. Robotics Auton. Syst. 161: 104335 (2023) - Max Chen, Yihong Xu, Alexander Sirois, Yichen Li, Robert Dempski, Gillian Smith, Yuko Oda, Yunus Telliel, Erika S. Lewis, Kelilah L. Wolkowicz:
WheelUp! Developing an Interactive Electric-power Wheelchair Virtual Training Environment. CoG 2023: 1-6 - Alexander Will, Aidan G. Collins, Robert Grizzard, Smitha Gautham, Patrick Martin, Evan Dill, Carl R. Elks:
An Integrated Runtime Verification and Simulation Testbed for UAM Hazard Assessment. DSN-S 2023: 42-48 - Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda:
IBM NorthPole Neural Inference Machine. HCS 2023: 1-58 - Yiran Duan, Jeff Hemsley, Alexander O. Smith, LaVerne Gray:
Left and Right Retweets! Curation Logics During Black History Month. iConference (2) 2023: 131-142 - Rodrigue de Schaetzen, Alexander Botros, Robert Gash, Kevin Murrant, Stephen L. Smith:
Real-Time Navigation for Autonomous Surface Vehicles In Ice-Covered Waters. ICRA 2023: 1069-1075 - Ben Snow, Janet Dickinson, Angela Smith, Jian Chang, Taalia Nadeem, Aliaksei Pilko, Tom Cherret, Andy Oakey, Alexander Blakesley:
Navigating the Skies: A Serious Game for Exploring Drone Energy Consumption, Flight Risk, and Societal Impact in Logistics. JCSG 2023: 342-349 - Patrick Anderson, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales De Carvalho, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Trong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan A. Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck:
Project Silica: Towards Sustainable Cloud Archival Storage in Glass. SOSP 2023: 166-181 - Rodrigue de Schaetzen, Alexander Botros, Robert Gash, Kevin Murrant, Stephen L. Smith:
Real-Time Navigation for Autonomous Surface Vehicles In Ice-Covered Waters. CoRR abs/2302.11601 (2023)
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