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Author search results
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- Mark Ryan — disambiguation page
- Mark Ryan 0001
aka: Mark D. Ryan 0001, Mark Dermot Ryan
University of Birmingham, UK - Mark Ryan 0002
IBM Canada Laboratory, North York, ON, Canada - Mark Ryan 0003
Rotheram Hospital, UK - Mark Ryan 0004
KTH Royal Institute of Technology, Stockholm, Sweden - show all
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Publication search results
found 828 matches
- 2024
- Mark Ryan, Eleni Christodoulou, Josephina Antoniou, Kalypso Iordanou:
An AI ethics 'David and Goliath': value conflicts between large tech companies and their employees. AI Soc. 39(2): 557-572 (2024) - Keaton Coletti, Ryan C. Romeo, R. Benjamin Davis:
Bayesian backcalculation of pavement properties using parallel transitional Markov chain Monte Carlo. Comput. Aided Civ. Infrastructure Eng. 39(13): 1911-1927 (2024) - Frank Cremer, Barry Sheehan, Martin Mullins, Michael Fortmann, Barry J. Ryan, Stefan Materne:
On the insurability of cyber warfare: An investigation into the German cyber insurance market. Comput. Secur. 142: 103886 (2024) - Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data 6 (2024) - Thomas Beck, Alessandro Baroni, Ryan S. Bennink, Gilles Buchs, Eduardo Antonio Coello Pérez, Markus Eisenbach, Rafael Ferreira da Silva, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi, Peter Groszkowski, Travis S. Humble, Ryan Landfield, Ketan Maheshwari, Sarp Oral, Michael A. Sandoval, Amir Shehata, In-Saeng Suh, Christopher Zimmer:
Integrating quantum computing resources into scientific HPC ecosystems. Future Gener. Comput. Syst. 161: 11-25 (2024) - Fábio Gagliardi Cozman, Radu Marinescu, Junkyu Lee, Alexander G. Gray, Ryan Riegel, Debarun Bhattacharjya:
Markov conditions and factorization in logical credal networks. Int. J. Approx. Reason. 172: 109237 (2024) - Hubert Wittke, Alan Ryan, Ann Ledwith, Mark Southern:
Process innovation - the blind spot in product innovation. Development of a generic framework for the front-end in process innovation. Int. J. Manuf. Technol. Manag. 38(3): 189-212 (2024) - Trupti Mahendrakar, Ryan T. White, Madhur Tiwari, Markus Wilde:
Unknown Non-Cooperative Spacecraft Characterization with Lightweight Convolutional Neural Networks. J. Aerosp. Inf. Syst. 21(5): 455-460 (2024) - Deborah A. Jehu, Ryan Langston, Richard Sams, Lufei Young, Mark Hamrick, Haidong Zhu, Yanbin Dong:
The Impact of Dual-Tasks and Disease Severity on Posture, Gait, and Functional Mobility among People Living with Dementia in Residential Care Facilities: A Pilot Study. Sensors 24(9): 2691 (2024) - Mo Zhang, Eduard Marin, Mark Ryan, Vassilis Kostakos, Toby Murray, Benjamin Tag, David F. Oswald:
OOBKey: Key Exchange with Implantable Medical Devices Using Out-Of-Band Channels. ARES 2024: 191:1-191:13 - Ryan Gabrys, Mark Bilinski, Sunny Fugate, Daniel Silva:
Using Natural Language Processing Tools to Infer Adversary Techniques and Tactics Under the Mitre ATT&CK Framework. CCWC 2024: 541-547 - Yongqi Wang, Thalia Laing, José Moreira, Mark D. Ryan:
Remote Registration of Multiple Authenticators. CODASPY 2024: 379-390 - Ryan Garrett, Justin Gast, Spencer Henry, Kalli Mellili, Seung Hyuk Jang, Markus Santoso, Angelos Barmpoutis:
Investigating How Interaction with Physical Objects Within Virtual Environments Affects Knowledge Acquisition and Recall. HCI (58) 2024: 33-40 - Jacob Rhyne, Mark Bailey, Joseph Morgan, Ryan Lekivetz:
Assessing the Usability of Statistical Software Using a Discrete Choice Experiment. HCI (56) 2024: 195-205 - Rebecca Berthelsen, Cherileigh L. Chandler, Lauren Dean, Mark J. Keith, Ryan M. Schuetzler, Degan Kettles, Greg Anderson:
How Can Chatbots Improve the Gender Gap in Information Systems? HICSS 2024: 7194-7203 - Yuhong Zhong, Daniel S. Berger, Carl A. Waldspurger, Ryan Wee, Ishwar Agarwal, Rajat Agarwal, Frank Hady, Karthik Kumar, Mark D. Hill, Mosharaf Chowdhury, Asaf Cidon:
Managing Memory Tiers with CXL in Virtualized Environments. OSDI 2024: 37-56 - Adira Colton, Declan Fitzgerald, Sunandita Sarker, Noah Barnes, Dheeraj Gandhi, Miroslaw Janowski, Jeremy D. Brown, Joshua Kanter, Laura Olivieri, Mark D. Fuge, Axel Krieger, Ryan D. Sochol:
Toward "S"-Shaped 3D-Printed Soft Robotic Guidewires for Pediatric Patent Ductus Arteriosus Endovascular Interventions. RoboSoft 2024: 965-970 - Bailey M. Felix, Olivia Young, Jordi T. Andreou, Nicholas Portwood, Kieran J. Barvenik, Noah Barnes, Clifford R. Weiss, Christopher R. Bailey, Dheeraj Gandhi, Miroslaw Janowski, Jeremy D. Brown, Eleonora Tubaldi, Mark D. Fuge, Axel Krieger, Ryan D. Sochol:
An Approach for 3D Microprinting Soft Robotic Surgical Tools at 1.5 French Length Scales for Endovascular Interventions. RoboSoft 2024: 386-391 - Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal:
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. WWW 2024: 2986-2997 - Christopher Krapu, Mark E. Borsuk, Ryan S. D. Calder:
Deep autoregressive modeling for land use land cover. CoRR abs/2401.01395 (2024) - Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez:
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. CoRR abs/2401.05566 (2024) - Andrew Ye, James Xu, Yi Wang, Yifan Yu, Daniel Yan, Ryan Chen, Bosheng Dong, Vipin Chaudhary, Shuai Xu:
Learning the Market: Sentiment-Based Ensemble Trading Agents. CoRR abs/2402.01441 (2024) - Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi:
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR abs/2402.03046 (2024) - David J. Schodt, Ryan C. Brown, Michael Merritt, Samuel Park, Delsin Menolascino, Mark A. Peot:
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties. CoRR abs/2402.14532 (2024) - Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov:
Do Weibo platform experts perform better at predicting stock market? CoRR abs/2403.00772 (2024) - Marcin P. Joachimiak, Mark A. Miller, J. Harry Caufield, Ryan Ly, Nomi L. Harris, Andrew J. Tritt, Christopher J. Mungall, Kristofer E. Bouchard:
The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies. CoRR abs/2404.03044 (2024) - Ryan Cotterell, Thomas Müller, Alexander Fraser, Hinrich Schütze:
Labeled Morphological Segmentation with Semi-Markov Models. CoRR abs/2404.08997 (2024) - Mark Edward M. Gonzales, Hans Oswald A. Ibrahim, Elyssia Barrie H. Ong, Ryan Austin Fernandez:
AniFrame: A Programming Language for 2D Drawing and Frame-Based Animation. CoRR abs/2404.10250 (2024) - Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024) - Carson Denison, Monte MacDiarmid, Fazl Barez, David Duvenaud, Shauna Kravec, Samuel Marks, Nicholas Schiefer, Ryan Soklaski, Alex Tamkin, Jared Kaplan, Buck Shlegeris, Samuel R. Bowman, Ethan Perez, Evan Hubinger:
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models. CoRR abs/2406.10162 (2024)
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