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- James W. Roberts
- Simon McCallum
aka: Simon James Robertson McCallum - James E. Robertson
- James R. Kirk
aka: James Roberts Kirk
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Publication search results
found 530 matches
- 2024
- James Hutson, Jason Lively, Bryan Robertson, Peter Cotroneo, Martin Lang:
Creative Convergence - The AI Renaissance in Art and Design. Springer 2024, ISBN 978-3-031-45126-3, pp. 1-237 - Meredith E. David, James A. Roberts:
For God's Sake: Integrating the Theory of Reasoned Action and Technology Acceptance Model to Predict Smartphone Use during Church Services. Int. J. Hum. Comput. Interact. 40(7): 1609-1619 (2024) - Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall:
Question answering systems for health professionals at the point of care - a systematic review. J. Am. Medical Informatics Assoc. 31(4): 1009-1024 (2024) - James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird:
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis. AAAI 2024: 18390-18398 - James Bartusek, Vipul Goyal, Dakshita Khurana, Giulio Malavolta, Justin Raizes, Bhaskar Roberts:
Software with Certified Deletion. EUROCRYPT (4) 2024: 85-111 - Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall:
Question answering systems for health professionals at the point of care - a systematic review. CoRR abs/2402.01700 (2024) - Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári:
Switching the Loss Reduces the Cost in Batch Reinforcement Learning. CoRR abs/2403.05385 (2024) - Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Léonard Hussenot, Aakanksha Chowdhery, Adam Roberts, Aditya Barua, Alex Botev, Alex Castro-Ros, Ambrose Slone, Amélie Héliou, Andrea Tacchetti, Anna Bulanova, Antonia Paterson, Beth Tsai, Bobak Shahriari, Charline Le Lan, Christopher A. Choquette-Choo, Clément Crepy, Daniel Cer, Daphne Ippolito, David Reid, Elena Buchatskaya, Eric Ni, Eric Noland, Geng Yan, George Tucker, George-Cristian Muraru, Grigory Rozhdestvenskiy, Henryk Michalewski, Ian Tenney, Ivan Grishchenko, Jacob Austin, James Keeling, Jane Labanowski, Jean-Baptiste Lespiau, Jeff Stanway, Jenny Brennan, Jeremy Chen, Johan Ferret, Justin Chiu, et al.:
Gemma: Open Models Based on Gemini Research and Technology. CoRR abs/2403.08295 (2024) - Robert E. Wray, James R. Kirk, John E. Laird:
Eliciting Problem Specifications via Large Language Models. CoRR abs/2405.12147 (2024) - 2023
- Callum Roberts, Adrian Gepp, James Todd:
A Big Data Framework to Address Building Sum Insured Misestimation. Big Data Res. 33: 100396 (2023) - Meredith E. David, James A. Roberts:
The Dual Nature of Social Media: Examining the Direction of Causal Flow Between Fear of Missing Out and Social Media Use. Cyberpsychology Behav. Soc. Netw. 26(12): 881-885 (2023) - James A. Roberts, Meredith E. David:
Instagram and TikTok Flow States and Their Association with Psychological Well-Being. Cyberpsychology Behav. Soc. Netw. 26(2): 80-89 (2023) - Philipp Grete, Joshua C. Dolence, Jonah M. Miller, Joshua Brown, Ben Ryan, Andrew Gaspar, Forrest Wolfgang Glines, Sriram Swaminarayan, Jonas Lippuner, Clell J. Solomon, Galen M. Shipman, Christoph Junghans, Daniel Holladay, James M. Stone, Luke F. Roberts:
Parthenon - a performance portable block-structured adaptive mesh refinement framework. Int. J. High Perform. Comput. Appl. 37(5): 465-486 (2023) - Sridip Parui, James C. Robertson, Sandeep Somani, Gary Tresadern, Cong Liu, Ken A. Dill:
MELD-Bracket Ranks Binding Affinities of Diverse Sets of Ligands. J. Chem. Inf. Model. 63(9): 2857-2865 (2023) - Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - James W. Nightingale, Aristeidis Amvrosiadis, Richard G. Hayes, Qiuhan He, Amy Etherington, XiaoYue Cao, Shaun Cole, Jonathan Frawley, Carlos S. Frenk, Sam Lange, Ran Li, Richard J. Massey, Mattia Negrello, Andrew Robertson:
PyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphology. J. Open Source Softw. 8(81): 4475 (2023) - Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5(7): 681-686 (2023) - Yifan Wu, Colt Nichols, Marc Foster, Devon Martin, James Dieffenderfer, Masataka Enomoto, B. Duncan X. Lascelles, Jane Russenberger, Gerald Brenninkmeyer, Alper Bozkurt, David L. Roberts:
An Exploration of Machine Learning Methods for Gait Analysis of Potential Guide Dogs. ACI 2023: 10:1-10:15 - Ben Lloyd-Roberts, Phillip James, Michael Edwards, Simon Robinson, Thomas Werner:
Improving Railway Safety: Human-in-the-loop Invariant Finding. CHI Extended Abstracts 2023: 389:1-389:8 - Kartik K. Iyer, James A. Roberts, Michaela Waak, Ajay Kevat, Jasneek Chawla, Leena Lauronen, Sampsa Vanhatalo, Nathan J. Stevenson:
Optimization of time series features to estimate brain age in children from electroencephalography. EMBC 2023: 1-4 - Jaya Chaturvedi, Sumithra Velupillai, Robert Stewart, Angus Roberts:
Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach. MedInfo 2023: 695-699 - Taehyun Rhee, Andrew Chalmers, Faisal Zaman, Anna Stangnes, Vic Roberts:
Real-time Stage Modelling and Visual Effects for Live Performances. SIGGRAPH Real Time Live! 2023: 8:1-8:2 - James Bell, Alice Rogers, Kristian Hansen, Craig Anslow, Simon McCallum:
Diving Into The Twilight Zone VR for Marine Biology. VRST 2023: 50:1-50:2 - Jaya Chaturvedi, Sumithra Velupillai, Robert Stewart, Angus Roberts:
Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach. CoRR abs/2304.01240 (2023) - James R. Kirk, Robert E. Wray, Peter Lindes:
Improving Knowledge Extraction from LLMs for Robotic Task Learning through Agent Analysis. CoRR abs/2306.06770 (2023) - Daniel Kreuter, Samuel Tull, Julian D. Gilbey, Jacobus Preller, BloodCounts Consortium, John A. D. Aston, James H. F. Rudd, Suthesh Sivapalaratnam, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts:
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. CoRR abs/2306.09177 (2023) - Sören Dittmer, Michael Roberts, Jacobus Preller, AIX-COVNET Collaboration, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Reinterpreting survival analysis in the universal approximator age. CoRR abs/2307.13579 (2023) - Jaya Chaturvedi, Tao Wang, Sumithra Velupillai, Robert Stewart, Angus Roberts:
Development of a Knowledge Graph Embeddings Model for Pain. CoRR abs/2308.08904 (2023) - Jaya Chaturvedi, Diana Shamsutdinova, Felix Zimmer, Sumithra Velupillai, Daniel Stahl, Robert Stewart, Angus Roberts:
Sample Size in Natural Language Processing within Healthcare Research. CoRR abs/2309.02237 (2023) - Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, BloodCounts Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts:
Recent Methodological Advances in Federated Learning for Healthcare. CoRR abs/2310.02874 (2023)
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