Brian Hutchinson

Orcid: 0000-0002-5537-008X

According to our database1, Brian Hutchinson authored at least 41 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Models.
CoRR, 2024

Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models.
CoRR, 2024

2023
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models.
CoRR, 2023

RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2021
Fine-Grained Classroom Activity Detection from Audio with Neural Networks.
CoRR, 2021

Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers.
CoRR, 2021

Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks.
CoRR, 2021

2020
A Study of Few-Shot Audio Classification.
CoRR, 2020

DeepClimGAN: A High-Resolution Climate Data Generator.
CoRR, 2020

Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Metric-Based Few-Shot Learning for Video Action Recognition.
CoRR, 2019

Explaining Multimodal Deceptive News Prediction Models.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Deep Learning for Classroom Activity Detection from Audio.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A systematic exploration of ΔΔG cutoff ranges in machine learning models for protein mutation stability prediction.
J. Bioinform. Comput. Biol., 2018

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection.
CoRR, 2018

Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Low n-rank tensor log-linear models for classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Predicting the Effect of Point Mutations on Protein Structural Stability.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Predicting User Roles from Computer Logs Using Recurrent Neural Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Using Pronunciation-Based Morphological Subword Units to Improve OOV Handling in Keyword Search.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

2015
A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

The Tensor Deep Stacking Network Toolkit.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Subword-based modeling for handling OOV words inkeyword spotting.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Learning Phrase Patterns for Text Classification.
IEEE Trans. Speech Audio Process., 2013

Tensor Deep Stacking Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Exceptions in language as learned by the multi-factor sparse plus low-rank language model.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
A Sparse Plus Low Rank Maximum Entropy Language Model.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Parallel Training for Deep Stacking Networks.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Low Rank Language Models for Small Training Sets.
IEEE Signal Process. Lett., 2011

Learning non-parametric models of pronunciation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Analyzing conversations using rich phrase patterns.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
"What i know is...": establishing credibility on Wikipedia talk pages.
Proceedings of the 6th International Symposium on Wikis and Open Collaboration, 2010

Extracting Phrase Patterns with Minimum Redundancy for Unsupervised Speaker Role Classification.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Unsupervised broadcast conversation speaker role labeling.
Proceedings of the IEEE International Conference on Acoustics, 2010

2008
Towards Standardisation of Online Dispute Resolution Tools.
Proceedings of the 5th International Workshop on Online Dispute Resolution, 2008

Non-segmental duration feature extraction for prosodic classification.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

2006
Multiclass Support Vector Machines for Articulatory Feature Classification.
Proceedings of the Proceedings, 2006


  Loading...