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Author search results
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- Matthew Brown — disambiguation page
- Matthew Brown 0001
Google, Mountain View, CA, USA - Matthew Brown 0002
University of Southern California, Los Angeles, CA, USA - Matthew Brown 0003
University of Oxford, UK - Matthew Brown 0004
Stanford University, Department of Mechanical Engineering, CA, USA - show all
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Publication search results
found 686 matches
- 2024
- Mitchell D. Woodbright
, Ahsan Morshed, Matthew Browne
, Biplob Ray
, Steven Moore:
Toward Transparent AI for Neurological Disorders: A Feature Extraction and Relevance Analysis Framework. IEEE Access 12: 37731-37743 (2024) - Alex K. Chew, Matthew Sender, Zachary Kaplan, Anand Chandrasekaran, Jackson Chief Elk, Andrea R. Browning, H. Shaun Kwak, Mathew D. Halls, Mohammad Atif Faiz Afzal:
Advancing material property prediction: using physics-informed machine learning models for viscosity. J. Cheminformatics 16(1): 31 (2024) - Jasper Nalbach
, Erika Ábrahám
, Philippe Specht, Christopher W. Brown, James H. Davenport, Matthew England:
Levelwise construction of a single cylindrical algebraic cell. J. Symb. Comput. 123: 102288 (2024) - John Talbot
, Matthew Brown
, J. Christian Gerdes
:
Shared Control Up to the Limits of Vehicle Handling. IEEE Trans. Intell. Veh. 9(1): 2977-2987 (2024) - Jay Mahajan, Samuel Hum, Jack Henhapl, Diya Yunus, Matthew Gadbury, Emi Brown, Jeffrey Ginger, H. Chad Lane:
MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery. AAAI 2024: 23207-23214 - Abhraneel Sarma
, Xiaoying Pu
, Yuan Cui
, Michael Correll
, Eli T. Brown
, Matthew Kay
:
Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. CHI 2024: 1034:1-1034:14 - Kyungbin Kwon
, Keunjae Kim
, Anne T. Ottenbreit-Leftwich
, Krista D. Glazewski
, Matthew L. Brown
, Haesol Bae
, Florentina M. Closser
:
Exploring AIFORGOOD Summer Camp Curriculum to Foster Middle School Students' Understanding of Artificial Intelligence. SIGCSE (2) 2024: 1710-1711 - Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Sarah Hodkinson, Heidi Howard, Tom Lieberum, Ramana Kumar, Maria Abi Raad, Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter, Grégoire Delétang, Anian Ruoss, Seliem El-Sayed, Sasha Brown, Anca D. Dragan, Rohin Shah, Allan Dafoe, Toby Shevlane:
Evaluating Frontier Models for Dangerous Capabilities. CoRR abs/2403.13793 (2024) - Seliem El-Sayed, Canfer Akbulut, Amanda McCroskery, Geoff Keeling, Zachary Kenton, Zaria Jalan, Nahema Marchal, Arianna Manzini, Toby Shevlane, Shannon Vallor, Daniel Susser, Matija Franklin, Sophie Bridgers, Harry Law, Matthew Rahtz, Murray Shanahan, Michael Henry Tessler, Arthur Douillard, Tom Everitt, Sasha Brown:
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI. CoRR abs/2404.15058 (2024) - Michael Ahn, Montserrat Gonzalez Arenas, Matthew Bennice, Noah Brown, Christine Chan, Byron David, Anthony G. Francis, Gavin Gonzalez, Rainer Hessmer, Tomas Jackson, Nikhil J. Joshi, Daniel Lam, Tsang-Wei Edward Lee, Alex Luong, Sharath Maddineni, Harsh Patel, Jodilyn Peralta, Jornell Quiambao, Diego Reyes, Rosario Jauregui Ruano, Dorsa Sadigh, Pannag Sanketi, Leila Takayama, Pavel Vodenski, Fei Xia:
VADER: Visual Affordance Detection and Error Recovery for Multi Robot Human Collaboration. CoRR abs/2405.16021 (2024) - Shaheer U. Saeed, Shiqi Huang, João Ramalhinho, Iani J. M. B. Gayo, Nina Montaña Brown, Ester Bonmati, Stephen P. Pereira, Brian R. Davidson, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu:
Competing for pixels: a self-play algorithm for weakly-supervised segmentation. CoRR abs/2405.16628 (2024) - 2023
- Dennis J. N. J. Soemers
, Éric Piette
, Matthew Stephenson
, Cameron Browne:
Spatial state-action features for general games. Artif. Intell. 321: 103937 (2023) - Muhammad Arifur Rahman, David J. Brown, Mufti Mahmud, Matthew C. Harris, Nicholas Shopland, Nadja Heym, Alexander Sumich, Zakia Batool Turabee, Bradley Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar
, Simona Nastase, Andrew M. Burton, James Lewis:
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning. Brain Informatics 10(1): 14 (2023) - Matthew R. D. Brown, Matthew Knight, Christopher J. Peters, Simin Maleki, Ali Motavalli, Bahman Nedjat-Shokouhi:
Digital outpatient health solutions as a vehicle to improve healthcare sustainability - a United Kingdom focused policy and practice perspective. Frontiers Digit. Health 5 (2023) - Éric Piette
, Dennis J. N. J. Soemers, Matthew Stephenson, Cameron Browne:
The 2022 Ludii AI competition. J. Int. Comput. Games Assoc. 45(1): 16-27 (2023) - Shivani Mehta
, William Brown III, Erin Ferguson, James Najera, Matthew S. Pantell:
The association between prescription drug monitoring programs and controlled substance prescribing: a cross-sectional study using data from 2019 National Electronic Health Records Survey. J. Am. Medical Informatics Assoc. 30(6): 1042-1046 (2023) - Lukas Buecherl
, Thomas Mitchell, James Scott-Brown
, Prashant Vaidyanathan, Gonzalo Vidal
, Hasan Baig, Bryan Bartley, Jacob Beal
, Matthew Crowther, Pedro Fontanarrosa
, Thomas E. Gorochowski, Raik Grünberg, Vishwesh Kulkarni, James Alastair McLaughlin, Göksel Misirli, Ernst Oberortner, Anil Wipat, Chris J. Myers:
Synthetic biology open language (SBOL) version 3.1.0. J. Integr. Bioinform. 20(1) (2023) - Alexander P. Browning, Matthew J. Simpson:
Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates. PLoS Comput. Biol. 19(1) (2023) - Zheyuan Du
, Jack McCubbine, Matthew C. Garthwaite, Nicholas Brown, Alex Hay-Man Ng
, Alistair Deane, Lan-Wei Wang
:
Toward a Wide-Scale Land Subsidence Product in Eastern States of Australia. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - Priya Narayanan, Xin Hu
, Zhenyu Wu
, Matthew D. Thielke, John G. Rogers
, Andre V. Harrison
, John A. D'Agostino, James D. Brown, Long P. Quang, James R. Uplinger
, Heesung Kwon, Zhangyang Wang
:
A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth. IEEE Trans. Image Process. 32: 3481-3492 (2023) - Andrew D. Brown
, Jonathan R. Beaumont
, David B. Thomas
, Julian C. Shillcock
, Matthew Naylor
, Graeme M. Bragg
, Mark Vousden
, Simon W. Moore
, Shane T. Fleming
:
POETS: An Event-driven Approach to Dissipative Particle Dynamics: Implementing a Massively Compute-intensive Problem on a Novel Hard/Software Architecture. ACM Trans. Parallel Comput. 10(2): 7:1-7:32 (2023) - Misbahu S. Zubair
, David J. Brown
, Thomas Hughes-Roberts, Matthew Ian Bates:
Designing accessible visual programming tools for children with autism spectrum condition. Univers. Access Inf. Soc. 22(2): 277-296 (2023) - Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan:
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. AAAI 2023: 5983-5992 - Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer:
Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression. IEEE Big Data 2023: 3840-3846 - Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer:
Measuring Data Transmissions from the Edge for Distributed Inferencing with gRPC. IEEE Big Data 2023: 3853-3856 - Feng Luo, Ling Liu, G. Geoff Wang, Vijay Kumar, Mark S. Ashton, Jacob D. Abernethy, Fatemeh Afghah, Matthew H. E. M. Browning, David Coyle, Philip M. Dames, Tom O'Halloran, James Hays, Patrick Heisl, Chenfanfu Jiang, Puskar Khanal, Venkat Narayan Krovi, Sara Kuebbing, Nianyi Li, JingJing Liang, Ninghao Liu, Steve McNulty, Christopher M. Oswalt, Neil Pederson, Demetri Terzopoulos, Christopher W. Woodall, Yongkai Wu, Jian Yang, Yin Yang, Liang Zhao:
Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. CogMI 2023: 1-10 - Samara Morrison, Christopher D. Erb, Matthew D. Egbert, Max Gurr, Alexandra Nicholson-Brown, Dana Lee:
Exploring the Dynamics of Cognitive Control using Virtual Reality. CogSci 2023 - Matthew C. Harris
, David J. Brown
, Pratik S. Vyas
, James Lewis
, Bonnie Connor
:
Co-designing Virtual Environments for People with Intellectual Disabilities to Assess Cognitive Decline: Methodology. HCI (44) 2023: 306-313 - Barnett Yang, Matthew J. Hoffman, Nathanael J. K. Brown:
Bayesian Networks for Interpretable Cyberattack Detection. HICSS 2023: 1249-1258 - Ulrik Gliese, David Kubalak, Zakk Rhodes, Craig R. Auletti, Sachidananda R. Babu, Branimir Blagojevic, Kasey Boggs, Robert Bousquet, Gregory Bredthauer, Gary L. Brown, Nga T. Cao, Thomas L. Capon, James Champagne, Leland H. Chemerys, Felix N. Chi, Brian L. Clemons, James Cook, William B. Cook, Nicholas P. Costen, Kevin R. Dahya, Paul V. Dizon, Roy Esplin, Robert Estep, Ali Feizi, Steven H. Feng, Eric T. Gorman, Jeffrey Guzek, Omar Haddad, Claef F. Hakun, Locksley B. Haynes, Michael J. Hersh, Carrie S. Hill, David G. Holliday, Luis Ramos-Izquierdo, Kim S. Jepsen, Emily Kan, Bradford P. Kercheval, Saman Kholdebarin, Joseph J. Knuble, Anh T. La, Erik D. Laurila, Michael R. Lin, Wei Lu, Albert J. Mariano, Lane A. Meier, Gerhard Meister, Bryan Monosmith, David Mott, Michael M. Mulloney, Quang V. Nguyen, Thomas J. Nolan, Matthew A. Owens, James Peterson, Manuel A. Quijada, Knute A. Ray, Kenneth Squire, Christopher P. Stull, Joe Thomes, Eugene Waluschka, Yiting Wen, Mark E. Wilson, Jeremy Werdell:
Optical and Detector Design of the Ocean Color Instrument for the NASA Pace Mission. IGARSS 2023: 1337-1340
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