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Publication search results
found 136 matches
- 2024
- Robert A. Sottilare, Christopher Ballinger, Matthew Litvinas, Shuowen Hu, Christopher McGroarty:
Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction. FLAIRS 2024 - Qingyu Xiao, Zulfiqar Zaidi, Matthew C. Gombolay:
Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses. ICRA 2024: 13695-13702 - Qingyu Xiao, Zulfiqar Zaidi, Matthew C. Gombolay:
Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses. CoRR abs/2401.17185 (2024) - Matthew A. Price, Alicja Polanska, Jessica Whitney, Jason D. McEwen:
Differentiable and accelerated wavelet transforms on the sphere and ball. CoRR abs/2402.01282 (2024) - Moisés Díaz, Miguel A. Ferrer, Soodamani Ramalingam, Richard M. Guest:
Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures. CoRR abs/2405.14409 (2024) - Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz:
URCDM: Ultra-Resolution Image Synthesis in Histopathology. CoRR abs/2407.13277 (2024) - 2023
- Bahman Nouri Rahmat Abadi, Andrew West, Harriet Peel, Matthew Nancekievill, Christopher Ballard, Barry Lennox, Ognjen Marjanovic, Keir Groves:
Corrigendum: CARMA II: a ground vehicle for autonomous surveying of alpha, beta and gamma radiation. Frontiers Robotics AI 10 (2023) - Bahman Nouri Rahmat Abadi, Andrew West, Harriet Peel, Matthew Nancekievill, Christopher Ballard, Barry Lennox, Ognjen Marjanovic, Keir Groves:
CARMA II: A ground vehicle for autonomous surveying of alpha, beta and gamma radiation. Frontiers Robotics AI 10 (2023) - J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - Molly A. Bogue, Robyn L. Ball, Vivek M. Philip, David O. Walton, Matthew H. Dunn, Georgi Kolishovski, Anna Lamoureux, Matthew Gerring, Hongping Liang, Jake Emerson, Tim Stearns, Hao He, Gaurab Mukherjee, John Bluis, Sejal Desai, Beth A. Sundberg, Beena Kadakkuzha, Kunde Ramamoorthy Govindarajan, Elissa J. Chesler:
Mouse Phenome Database: towards a more FAIR-compliant and TRUST-worthy data repository and tool suite for phenotypes and genotypes. Nucleic Acids Res. 51(D1): 1067-1074 (2023) - Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - Dawn M. Hustig-Schultz, Katherine R. Hendrickson, Matthew T. Hale, Ricardo G. Sanfelice:
A Totally Asynchronous Block-Based Heavy Ball Algorithm for Convex Optimization. ACC 2023: 873-878 - Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare, Vasu Sharma, Gaurav S. Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zhang, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Shunan Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Michael Johnston, Reza Ghanadan, Dilek Hakkani-Tur, Prem Natarajan:
Alexa Arena: A User-Centric Interactive Platform for Embodied AI. NeurIPS 2023 - Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace:
Extracting Training Data from Diffusion Models. USENIX Security Symposium 2023: 5253-5270 - Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis:
Tight Auditing of Differentially Private Machine Learning. USENIX Security Symposium 2023: 1631-1648 - Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace:
Extracting Training Data from Diffusion Models. CoRR abs/2301.13188 (2023) - Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis:
Tight Auditing of Differentially Private Machine Learning. CoRR abs/2302.07956 (2023) - Qiaozi Gao, Govind Thattai, Xiaofeng Gao, Suhaila Shakiah, Shreyas Pansare, Vasu Sharma, Gaurav S. Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zheng, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Cadence Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Yadunandana Rao, Michael Johnston, Reza Ghanadan, Arindam Mandal, Dilek Hakkani-Tür, Prem Natarajan:
Alexa Arena: A User-Centric Interactive Platform for Embodied AI. CoRR abs/2303.01586 (2023) - Peter Doyle, Matthew Ellison, Zili Wang:
Extending a triangulation from the 2-sphere to the 3-ball. CoRR abs/2303.10773 (2023) - Tristan Ballard, Matthew Cooper, Chris Lowrie, Gopal Erinjippurath:
Widespread Increases in Future Wildfire Risk to Global Forest Carbon Offset Projects Revealed by Explainable AI. CoRR abs/2305.02397 (2023) - Hangjie Shi, Leslie Ball, Govind Thattai, Desheng Zhang, Lucy Hu, Qiaozi Gao, Suhaila Shakiah, Xiaofeng Gao, Aishwarya Padmakumar, Bofei Yang, Cadence Chung, Dinakar Guthy, Gaurav S. Sukhatme, Karthika Arumugam, Matthew Wen, Osman Ipek, Patrick Lange, Rohan Khanna, Shreyas Pansare, Vasu Sharma, Chao Zhang, Cris Flagg, Daniel Pressel, Lavina Vaz, Luke Dai, Prasoon Goyal, Sattvik Sahai, Shaohua Liu, Yao Lu, Anna Gottardi, Shui Hu, Yang Liu, Dilek Hakkani-Tur, Kate Bland, Heather Rocker, James Jeun, Yadunandana Rao, Michael Johnston, Akshaya Iyengar, Arindam Mandal, Prem Natarajan, Reza Ghanadan:
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI. CoRR abs/2308.05221 (2023) - 2022
- Suvash Sharma, Lalitha Dabbiru, Tyler Hannis, George Mason, Daniel W. Carruth, Matthew Doude, Christopher Goodin, Christopher R. Hudson, Sam Ozier, John E. Ball, Bo Tang:
CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving. IEEE Access 10: 24759-24768 (2022) - Alexander M. Waldrop, John B. Cheadle, Kira Bradford, Alexander Preiss, Robert F. Chew, Jonathan R. Holt, Yaphet Kebede, Nathan Braswell, Matthew Watson, Virginia Hench, Andrew Crerar, Chris M. Ball, Carl Schreep, P. J. Linebaugh, Hannah Hiles, Rebecca R. Boyles, Chris Bizon, Ashok Kumar Krishnamurthy, Steven Cox:
Dug: a semantic search engine leveraging peer-reviewed knowledge to query biomedical data repositories. Bioinform. 38(12): 3252-3258 (2022) - Umberto De Ambroggio, Matthew I. Roberts:
Unusually large components in near-critical Erdős-Rényi graphs via ballot theorems. Comb. Probab. Comput. 31(5): 840-869 (2022) - Benjamin Bird, Matthew Nancekievill, Andrew West, Jim Hayman, Chris Ballard, Will Jones, Shaun Ross, Toby Wild, Tom B. Scott, Barry Lennox:
Vega - A small, low cost, ground robot for nuclear decommissioning. J. Field Robotics 39(3): 232-245 (2022) - Vivek Astvansh, George P. Ball, Matthew Josefy:
The Recall Decision Exposed: Automobile Recall Timing and Process Data Set. Manuf. Serv. Oper. Manag. 24(3): 1457-1473 (2022) - Cameron P. Casey, Sean Tanabe, Zahra Farahbakhsh, Margaret Parker, Amber Bo, Marissa White, Tyler Ballweg, Andrew M. McIntosh, William Filbey, Matthew I. Banks, Yuri B. Saalmann, Robert A. Pearce, Robert D. Sanders:
Dynamic causal modelling of auditory surprise during disconnected consciousness: The role of feedback connectivity. NeuroImage 263: 119657 (2022) - Claire E. Kelly, Gareth Ball, Lillian G. Matthews, Jeanie L. Y. Cheong, Lex W. Doyle, Terrie E. Inder, Deanne K. Thompson, Peter J. Anderson:
Investigating brain structural maturation in children and adolescents born very preterm using the brain age framework. NeuroImage 247: 118828 (2022) - Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022) - Simegnew Yihunie Alaba, M. M. Nabi, Chiranjibi Shah, Jack Prior, Matthew D. Campbell, Farron Wallace, John E. Ball, Robert Moorhead:
Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset. Sensors 22(21): 8268 (2022)
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