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Publication search results
found 318 matches
- 2024
- Tom McDonald, Calvin Tsay
, Artur M. Schweidtmann
, Neil Yorke-Smith:
Mixed-integer optimisation of graph neural networks for computer-aided molecular design. Comput. Chem. Eng. 185: 108660 (2024) - Mark Andrejevic
, Chris O'Neill
, Gavin Smith, Neil Selwyn, Xin Gu:
Granular biopolitics: Facial recognition, pandemics and the securitization of circulation. New Media Soc. 26(3): 1204-1226 (2024) - Aidan McGowan
, Neil Anderson
, Christopher Smith
:
The use of ChatGPT to generate Summative Feedback in Programming Assessments that is Consistent, Prompt, without Bias and Scalable. AICCONF 2024: 39-43 - Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan:
Bayesian Ensembles for Exploration in Deep Q-Learning. AAMAS 2024: 2528-2530 - Noah Schutte
, Krzysztof Postek
, Neil Yorke-Smith
:
Improving Metaheuristic Efficiency for Stochastic Optimization by Sequential Predictive Sampling. CPAIOR (2) 2024: 158-175 - Ernest Perkowski, Rui Pan, Tuan Dung Nguyen, Yuan-Sen Ting
, Sandor Kruk, Tong Zhang, Charlie O'Neill, Maja Jablonska, Zechang Sun, Michael J. Smith
, Huiling Liu, Kevin Schawinski, Kartheik Iyer, Ioana Ciuca, UniverseTBD:
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. CoRR abs/2401.01916 (2024) - Lara Scavuzzo, Karen I. Aardal, Andrea Lodi, Neil Yorke-Smith:
Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming. CoRR abs/2402.05501 (2024) - Asheesh Sharma, Lucy Randewich, William Andrew, Sion L. Hannuna, Neill W. Campbell, Siobhan Mullan, Andrew W. Dowsey, Melvyn Smith, Mark Hansen, Tilo Burghardt:
Universal Bovine Identification via Depth Data and Deep Metric Learning. CoRR abs/2404.00172 (2024) - 2023
- Eghonghon-Aye Eigbe
, Bart De Schutter
, Mitra Nasri, Neil Yorke-Smith:
Sequence- and Time-Dependent Maintenance Scheduling in Twice Re-Entrant Flow Shops. IEEE Access 11: 103461-103475 (2023) - Pankaj R. Telang, Munindar P. Singh
, Neil Yorke-Smith
:
Maintenance commitments: Conception, semantics, and coherence. Artif. Intell. 324: 103993 (2023) - Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter Koo
, Sergey Ovchinnikov:
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman. Bioinform. 39(1) (2023) - Jarrad Neil Morden
, Fabio Caraffini
, Ioannis Kypraios
, Ali H. Al-Bayatti
, Richard Smith:
Driving in the Rain: A Survey toward Visibility Estimation through Windshields. Int. J. Intell. Syst. 2023: 1-26 (2023) - Marija Jegorova
, Chaitanya Kaul
, Charlie Mayor, Alison Q. O'Neil, Alexander Weir
, Roderick Murray-Smith
, Sotirios A. Tsaftaris
:
Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9090-9108 (2023) - Dirk van Bokkem, Max van den Hemel, Sebastijan Dumancic, Neil Yorke-Smith:
Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation. AAAI 2023: 15731-15737 - Matthias Horn, Emir Demirovic, Neil Yorke-Smith:
Parallel Batch Processing for the Coating Problem. ICAPS 2023: 171-179 - Matthias Horn, Emir Demirovic, Neil Yorke-Smith:
Solving the Multi-Choice Two Dimensional Shelf Strip Packing Problem with Time Windows. ICAPS 2023: 491-499 - Roland Saur, Han La Poutré, Neil Yorke-Smith:
Fair Pricing for Time-Flexible Smart Energy Markets. AAMAS 2023: 2703-2705 - Yun Li, Neil Yorke-Smith, Tamás Keviczky:
Unlocking Energy Flexibility From Thermal Inertia of Buildings: A Robust Optimization Approach. CDC 2023: 2555-2562 - Jake Robert Read
, Leo McElroy
, Quentin Bolsee
, B. Smith
, Neil Gershenfeld
:
Modular-Things: Plug-and-Play with Virtualized Hardware. CHI Extended Abstracts 2023: 210:1-210:6 - Nikolaos Efthymiou
, Neil Yorke-Smith
:
Predicting the Optimal Period for Cyclic Hoist Scheduling Problems. CPAIOR 2023: 238-253 - Maximiliano F. Ferrari, Travis Smith, Neil Shepard, Aditya Sundararajan, Drew Herron, Emilio Piesciorovsky, Isabelle Snyder, Thomas Ben Ollis, Josh Hambrick, Chris Sticht, Mike Marshall:
Real-Time Model-Adaptive Relaying Applied to Microgrid Protection. ISGT 2023: 1-5 - Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge P. Hoogendoorn:
Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport. MT-ITS 2023: 1-6 - Sophia Wang
, Miana Smith
, Neil Gershenfeld
:
Voxelcopter: Modular Autonomous Aerial Systems. SCF 2023: 18:1-18:2 - Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas W. Anthony, Julien Pérolat:
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning. CoRR abs/2303.03196 (2023) - Alexandru-Ionut Babeanu, Tatiana Filatova, Jan H. Kwakkel, Neil Yorke-Smith:
Adaptive parallelization of multi-agent simulations with localized dynamics. CoRR abs/2304.01724 (2023) - Ziv Epstein, Aaron Hertzmann, Laura Mariah Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky:
Art and the science of generative AI: A deeper dive. CoRR abs/2306.04141 (2023) - Noah Schutte, Krzysztof Postek, Neil Yorke-Smith:
Robust Losses for Decision-Focused Learning. CoRR abs/2310.04328 (2023) - Tom McDonald, Calvin Tsay, Artur M. Schweidtmann, Neil Yorke-Smith:
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design. CoRR abs/2312.01228 (2023) - Yun Li, Neil Yorke-Smith, Tamás Keviczky:
Unlocking Energy Flexibility From Thermal Inertia of Buildings: A Robust Optimization Approach. CoRR abs/2312.05108 (2023) - Yun Li, Neil Yorke-Smith, Tamás Keviczky:
Robust Optimal Control With Binary Adjustable Uncertainties. CoRR abs/2312.11251 (2023)
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