Brian Hutchinson

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 26

Top Topics

Anomaly Detection

Environmental Sounds

Top Venues

Publications

Katie Christensen, Lyric Otto, Seth Bassetti, Claudia Tebaldi, Brian Hutchinson
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models. CoRR (2024)
Sarah Coffland, Katie Christensen, Filip Jagodzinski, Brian Hutchinson
RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning. CoRR (2023)
Seth Bassetti, Brian Hutchinson, Claudia Tebaldi, Ben Kravitz
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models. CoRR (2023)
Sarah Coffland, Katie Christensen, Filip Jagodzinski, Brian Hutchinson
RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning. BCB (2023)
Alexis Ayala, Christopher Drazic, Brian Hutchinson, Ben Kravitz, Claudia Tebaldi
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks. CoRR (2021)
Eric Slyman, Chris Daw, Morgan Skrabut, Ana Usenko, Brian Hutchinson
Fine-Grained Classroom Activity Detection from Audio with Neural Networks. CoRR (2021)
Piper Wolters, Chris Daw, Brian Hutchinson, Lauren Phillips
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers. CoRR (2021)
Piper Wolters, Chris Careaga, Brian Hutchinson, Lauren Phillips
A Study of Few-Shot Audio Classification. CoRR (2020)
Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CVPR Workshops (2020)
Alexandra Puchko, Robert Link, Brian Hutchinson, Ben Kravitz, Abigail Snyder
DeepClimGAN: A High-Resolution Climate Data Generator. CoRR (2020)
Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CoRR (2020)
Robin Cosbey, Allison Wusterbarth, Brian Hutchinson
Deep Learning for Classroom Activity Detection from Audio. ICASSP (2019)
Svitlana Volkova, Ellyn Ayton, Dustin Lockhart Arendt, Zhuanyi Huang, Brian Hutchinson
Explaining Multimodal Deceptive News Prediction Models. ICWSM (2019)
Chris Careaga, Brian Hutchinson, Nathan Oken Hodas, Lawrence Phillips
Metric-Based Few-Shot Learning for Video Action Recognition. CoRR (2019)
Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR (2018)
Nicholas Majeske, Filip Jagodzinski, Brian Hutchinson, Tanzima Z. Islam
Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations. BCB (2018)
Richard Olney, Aaron Tuor, Filip Jagodzinski, Brian Hutchinson
A systematic exploration of ΔΔG cutoff ranges in machine learning models for protein mutation stability prediction. J. Bioinform. Comput. Biol. 16 (5) (2018)
Aaron Randall Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. AAAI Workshops (2018)
Gracie Ermi, Ellyn Ayton, Nolan Price, Brian Hutchinson
Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes. IJCNN (2018)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. AAAI Workshops (2017)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. CoRR (2017)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Predicting User Roles from Computer Logs Using Recurrent Neural Networks. AAAI (2017)
Caleb Nelson, Yulo Leake, Brian Hutchinson
Low n-rank tensor log-linear models for classification. IJCNN (2017)
Roshanak Farhoodi, Max Shelbourne, Rebecca Hsieh, Nurit Haspel, Brian Hutchinson, Filip Jagodzinski
Predicting the Effect of Point Mutations on Protein Structural Stability. BCB (2017)
Aaron Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. CoRR (2017)
Yanzhang He, Peter Baumann, Hao Fang, Brian Hutchinson, Aaron Jaech, Mari Ostendorf, Eric Fosler-Lussier, Janet B. Pierrehumbert
Using Pronunciation-Based Morphological Subword Units to Improve OOV Handling in Keyword Search. IEEE ACM Trans. Audio Speech Lang. Process. 24 (1) (2016)
Brian Hutchinson, Mari Ostendorf, Maryam Fazel
A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios. IEEE ACM Trans. Audio Speech Lang. Process. 23 (3) (2015)
David Palzer, Brian Hutchinson
The Tensor Deep Stacking Network Toolkit. IJCNN (2015)
Yanzhang He, Brian Hutchinson, Peter Baumann, Mari Ostendorf, Eric Fosler-Lussier, Janet B. Pierrehumbert
Subword-based modeling for handling OOV words inkeyword spotting. ICASSP (2014)
Brian Hutchinson, Li Deng, Dong Yu
Tensor Deep Stacking Networks. IEEE Trans. Pattern Anal. Mach. Intell. 35 (8) (2013)
Brian Hutchinson, Mari Ostendorf, Maryam Fazel
Exceptions in language as learned by the multi-factor sparse plus low-rank language model. ICASSP (2013)
Bin Zhang, Alex Marin, Brian Hutchinson, Mari Ostendorf
Learning Phrase Patterns for Text Classification. IEEE Trans. Speech Audio Process. 21 (6) (2013)
Brian Hutchinson, Mari Ostendorf, Maryam Fazel
A Sparse Plus Low Rank Maximum Entropy Language Model. INTERSPEECH (2012)
Li Deng, Brian Hutchinson, Dong Yu
Parallel Training for Deep Stacking Networks. INTERSPEECH (2012)
Brian Hutchinson, Li Deng, Dong Yu
A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition. ICASSP (2012)
Brian Hutchinson, Mari Ostendorf, Maryam Fazel
Low Rank Language Models for Small Training Sets. IEEE Signal Process. Lett. 18 (9) (2011)
Bin Zhang, Alex Marin, Brian Hutchinson, Mari Ostendorf
Analyzing conversations using rich phrase patterns. ASRU (2011)
Brian Hutchinson, Jasha Droppo
Learning non-parametric models of pronunciation. ICASSP (2011)
Meghan Oxley, Jonathan T. Morgan, Mark Zachry, Brian Hutchinson
"What i know is...": establishing credibility on Wikipedia talk pages. Int. Sym. Wikis (2010)
Brian Hutchinson, Bin Zhang, Mari Ostendorf
Unsupervised broadcast conversation speaker role labeling. ICASSP (2010)
Bin Zhang, Brian Hutchinson, Wei Wu, Mari Ostendorf
Extracting Phrase Patterns with Minimum Redundancy for Unsupervised Speaker Role Classification. HLT-NAACL (2010)
Arno R. Lodder, Andrea Borri, Jacques Gouimenou, Brian Hutchinson, Vincent Tilman
Towards Standardisation of Online Dispute Resolution Tools. ODR (2008)
Amy Dashiell, Brian Hutchinson, Anna Margolis, Mari Ostendorf
Non-segmental duration feature extraction for prosodic classification. INTERSPEECH (2008)
Brian Hutchinson, Jianna Zhang
Multiclass Support Vector Machines for Articulatory Feature Classification. AAAI (2006)