Brian Hutchinson

发表

Dong Yu, Li Deng, Brian Hutchinson, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Simplicity, Indefinability, Nonnaturalness

Brian Hutchinson, Brian Hutchinson, 2001 .

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Andy Brown, Brian Hutchinson, Nicole Nichols, 2018, Proceedings of the First Workshop on Machine Learning for Computing Systems.

Towards Standardisation of Online Dispute Resolution Tools

Arno R. Lodder, Brian Hutchinson, Andrea Borri, 2008, ODR.

Analyzing conversations using rich phrase patterns

Mari Ostendorf, Alex Marin, Brian Hutchinson, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Unsupervised broadcast conversation speaker role labeling

Mari Ostendorf, Brian Hutchinson, Bin Zhang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Predicting User Roles from Computer Logs Using Recurrent Neural Networks

Brian Hutchinson, Nicole Nichols, Aaron Tuor, 2017, AAAI.

The Use of a Satellite Communications System for Command and Control of the National Aeronautics and Space Administration Surrogate Unmanned Aerial System Research Aircraft

Brian Hutchinson, Charles T. Howell, Frank Pierce Jones, 2017 .

Deep Learning for Classroom Activity Detection from Audio

Brian Hutchinson, Robin Cosbey, Allison Wusterbarth, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Metric-Based Few-Shot Learning for Video Action Recognition pdf

Brian Hutchinson, Lawrence Phillips, Chris Careaga, 2019, ArXiv.

Extracting Phrase Patterns with Minimum Redundancy for Unsupervised Speaker Role Classification

Wei Wu, Mari Ostendorf, Brian Hutchinson, 2010, HLT-NAACL.

Multiclass Support Vector Machines for Articulatory Feature Classification

Brian Hutchinson, Jianna Zhang, Brian Hutchinson, 2006, AAAI.

Explaining Multimodal Deceptive News Prediction Models

Ellyn Ayton, Dustin Arendt, Svitlana Volkova, 2019, ICWSM.

A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Learning non-parametric models of pronunciation

Jasha Droppo, Brian Hutchinson, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability

Brian Hutchinson, Nurit Haspel, Roshanak Farhoodi, 2018, Molecules.

Predicting the Effect of Point Mutations on Protein Structural Stability

Brian Hutchinson, Nurit Haspel, Roshanak Farhoodi, 2017, BCB.

Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes

Ellyn Ayton, Brian Hutchinson, Gracie Ermi, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Learning Phrase Patterns for Text Classification

Mari Ostendorf, Alex Marin, Brian Hutchinson, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Parallel Training for Deep Stacking Networks

Dong Yu, Li Deng, Brian Hutchinson, 2012, INTERSPEECH.

"What i know is...": establishing credibility on Wikipedia talk pages

Mark Zachry, Brian Hutchinson, Jonathan T. Morgan, 2010, Int. Sym. Wikis.

Non-segmental duration feature extraction for prosodic classification

Mari Ostendorf, Brian Hutchinson, Anna Margolis, 2008, INTERSPEECH.

Low Rank Language Models for Small Training Sets

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2011, IEEE Signal Processing Letters.

Low n-rank tensor log-linear models for classification

Brian Hutchinson, Caleb Nelson, Yulo Leake, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams pdf

Brian Hutchinson, Nicole Nichols, Aaron Tuor, 2017, AAAI Workshops.

Rank and sparsity in language processing

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2013 .

Exceptions in language as learned by the multi-factor sparse plus low-rank language model

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A systematic exploration of ΔΔG cutoff ranges in machine learning models for protein mutation stability prediction

Brian Hutchinson, Filip Jagodzinski, Aaron Tuor, 2018, J. Bioinform. Comput. Biol..

Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection pdf

Brian Hutchinson, Nicole Nichols, Robert Jasper, 2017, AAAI Workshops.

A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition

Dong Yu, Li Deng, Brian Hutchinson, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Tensor Deep Stacking Network Toolkit

Brian Hutchinson, David Palzer, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Sparse Plus Low Rank Maximum Entropy Language Model

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2012, INTERSPEECH.

Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels

Brian Hutchinson, Yuanyuan Zhu, Graham Roberts, 2019, Scientific Reports.

Development of a surface mountable plastic package characterization technique

Anh-Vu Pham, Joy Laskar, Guoqing Zhou, 1996 .

Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers pdf

Brian Hutchinson, Piper Wolters, Lauren Phillips, 2021, ArXiv.

Fine-Grained Classroom Activity Detection from Audio with Neural Networks pdf

Brian Hutchinson, Chris Daw, Eric Slyman, 2021, ArXiv.

Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks pdf

Brian Hutchinson, Ben Kravitz, Claudia Tebaldi, 2021, ArXiv.