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Publication search results
found 53 matches
- 2024
- Garry M. Jacyna, Damon Frezza, David M. Slater, James R. Thompson:
An Improved Model of Wavelet Leader Covariance for Estimating Multifractal Properties. ACM Trans. Model. Comput. Simul. 34(1): 1:1-1:22 (2024) - John R. McNulty, Lee Kho, Alexandria L. Case, Charlie Fornaca, Drew Johnston, David Slater, Joshua M. Abzug, Sybil A. Russell:
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs. CoRR abs/2403.19107 (2024) - SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young:
Scaling Instructable Agents Across Many Simulated Worlds. CoRR abs/2404.10179 (2024) - 2023
- Xiner Liu, Stefan Slater, Juliana Ma. Alexandra L. Andres, Luke Swanson, Jennifer Scianna, David J. Gagnon, Ryan Shaun Baker:
Struggling to Detect Struggle in Students Playing a Science Exploration Game. CHI PLAY Companion 2023: 83-88 - Shari J. Metcalf, David J. Gagnon, Stefan Slater:
Shifts in Student Attitudes and Beliefs About Science Through Extended Play in an Immersive Science Game. iLRN 2023: 330-342 - Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater:
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. SP (Workshops) 2023: 45-56 - Alex Isherwood, Matthew Koehler, David Slater:
Using Evolutionary Model Discovery to Develop Robust Policies. WSC 2023: 130-137 - 2022
- Zahra Maqsood, Joanne C. Clark, Eleyna M. Martin, Yam Fung Hilaire Cheung, Luis A. Morán, Sean E. T. Watson, Jeremy A. Pike, Ying Di, Natalie S. Poulter, Alexandre Slater, Bodo M. H. Lange, Bernhard Nieswandt, Johannes A. Eble, Mike G. Tomlinson, Dylan M. Owen, David Stegner, Lloyd J. Bridge, Christoph Wierling, Steve P. Watson:
Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins. PLoS Comput. Biol. 18(11): 1010708 (2022) - David J. Gagnon, Ryan S. Baker, Sarah Gagnon, Luke Swanson, Nick Spevacek, Juliana Ma. Alexandra L. Andres, Erik Harpstead, Jennifer Scianna, Stefan Slater, Maria Ofelia Clarissa Z. San Pedro:
Exploring players' experience of humor and snark in a grade 3-6 history practices game. CoRR abs/2210.09906 (2022) - Luke Swanson, David J. Gagnon, Jennifer Scianna, John McCloskey, Nicholas Spevacek, Stefan Slater, Erik Harpstead:
Leveraging Cluster Analysis to Understand Educational Game Player Experiences and Support Design. CoRR abs/2210.09911 (2022) - 2021
- Nishanthi Gangadharan, David Sewell, Richard Turner, Ray Field, Matthew Cheeks, Stephen G. Oliver, Nigel K. H. Slater, Duygu Dikicioglu:
Data intelligence for process performance prediction in biologics manufacturing. Comput. Chem. Eng. 146: 107226 (2021) - Matthew T. K. Koehler, David M. Slater, Garry M. Jacyna, James R. Thompson:
Modeling COVID-19 for Lifting Non-Pharmaceutical Interventions. J. Artif. Soc. Soc. Simul. 24(2) (2021) - Lito Kriara, Joerg F. Hipp, Christopher Chatham, David Nobbs, David Slater, Florian Lipsmeier, Michael Lindemann:
Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment. Sensors 21(14): 4664 (2021) - 2019
- David Slater, Scott Novotney, Jessica Moore, Sean Morgan, Scott Tenaglia:
Robust keystroke transcription from the acoustic side-channel. ACSAC 2019: 776-787 - Jessica Moore, Ben Gelman, David Slater:
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. ENASE 2019: 15-26 - Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater:
Logical Segmentation of Source Code. SEKE 2019: 717-777 - Damon Frezza, James R. Thompson, David M. Slater, Garry M. Jacyna:
Simulating Multifractal Signals for Risk Assessment. WSC 2019: 536-547 - Jessica Moore, Ben Gelman, David Slater:
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. CoRR abs/1904.00805 (2019) - Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A Language-Agnostic Model for Semantic Source Code Labeling. CoRR abs/1906.01032 (2019) - Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater:
Logical Segmentation of Source Code. CoRR abs/1907.08615 (2019) - 2018
- Stanislaw Adaszewski, David Slater, Lester Melie-García, Bogdan Draganski, Piotr Bogorodzki:
Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling. NeuroImage 172: 175-193 (2018) - Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A language-agnostic model for semantic source code labeling. MASES@ASE 2018: 36-44 - 2017
- Brian F. Tivnan, Matthew T. K. Koehler, David M. Slater, Jason G. Veneman, Brendan F. Tivnan:
Towards a model of the U.S. stock market: How important is the securities information processor? WSC 2017: 1181-1192 - 2015
- Tamar R. Makin, Nicola Filippini, Eugene P. Duff, David Henderson Slater, Irene Tracey, Heidi Johansen-Berg:
Network-level reorganisation of functional connectivity following arm amputation. NeuroImage 114: 217-225 (2015) - Scott L. Rosen, David M. Slater, Emmet Beeker, Samar K. Guharay, Garry M. Jacyna:
Critical infrastructure network analysis enabled by simulation metamodeling. WSC 2015: 2436-2447 - 2014
- Bernhard Spanlang, Jean-Marie Normand, David Borland, Konstantina Kilteni, Elias Giannopoulos, Ausiàs Pomés, Mar González-Franco, Daniel Pérez-Marcos, Jorge Arroyo-Palacios, Xavi Navarro, Mel Slater:
How to Build an Embodiment Lab: Achieving Body Representation Illusions in Virtual Reality. Frontiers Robotics AI 1: 9 (2014) - 2013
- Marco Catani, Michel Thiebaut de Schotten, David Slater, Flavio Dell'Acqua:
Connectomic approaches before the connectome. NeuroImage 80: 2-13 (2013) - David Borland, Tabitha C. Peck, Mel Slater:
An Evaluation of Self-Avatar Eye Movement for Virtual Embodiment. IEEE Trans. Vis. Comput. Graph. 19(4): 591-596 (2013) - Aitor Rovira, David Swapp, Richard Southern, Jian J. Zhang, Mel Slater:
The impact of enhanced projector display on the responses of people to a violent scenario in immersive virtual reality. VR 2013: 15-18 - 2012
- Valérie Campagna-Slater, Joshua Pottel, Eric Therrien, Louis-David Cantin, Nicolas Moitessier:
Development of a Computational Tool to Rival Experts in the Prediction of Sites of Metabolism of Xenobiotics by P450s. J. Chem. Inf. Model. 52(9): 2471-2483 (2012)
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