Matthew Horak

According to our database, Matthew Horak authored at least 11 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improving Network Traffic Anomaly Detection through Data Denoising and Unsupervised Learning.

James Talbott, Joshua Palicka, Alexander Sheardown, Wan D. Bae, Matthew Horak

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023

Improving Classification Performance on Rare Events in Data Starved Medical Applications.

Wan D. Bae, Angelo Alfonso, David Stanko, Lili Hao, Linh Le, Matthew Horak

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022

A Two-Step Machine Learning Approach for Crop Disease Detection Using GAN and UAV Technology.

Aaditya Prasad, Nikhil Mehta, Matthew Horak, Wan D. Bae

Remote. Sens., 2022

NLP Based Anomaly Detection for Categorical Time Series.

Matthew Horak, Sowmya Chandrasekaran, Giovanni Tobar

Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

2021

A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology.

Aaditya Prasad, Nikhil Mehta, Matthew Horak, Wan D. Bae

CoRR, 2021

A study of the effectiveness of transfer learning in individualized asthma risk prediction.

Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Sungroul Kim, Choon-Sik Park, Mark Chesney

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2019

Predictive and exposome analytics: A case study of asthma exacerbation management.

Shayma Alkobaisi, Wan D. Bae, Matthew Horak, Sada Narayanappa, Jongwon Lee, Eman AbuKhousa, Choon-Sik Park, Da Jung Bae

J. Ambient Intell. Smart Environ., 2019

A two-step approach to predictive modeling of individual-based environmental health risks.

Wan D. Bae, Matthew Horak, Shayma Alkobaisi, Sehjeong Kim, Sada Narayanappa, Choon-Sik Park, Da Jeong Bae

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2017

A Bayesian Framework for Individual Exposure Estimation on Uncertain Paths.

Matthew Horak, Wan D. Bae, Shayma Alkobaisi, Sehjeong Kim, Wade Meyers

Proceedings of the Web and Wireless Geographical Information Systems, 2017

2015

An energy-conserving algorithm for the collection and reporting of data in mobile sensor networks.

Matthew Horak, Shayma Alkobaisi, Wan D. Bae

Proceedings of the 4th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2015

2009

Computing Word Length in Alternate Presentations of Thompson's Group F.

Matthew Horak, Melanie Stein, Jennifer Taback

Int. J. Algebra Comput., 2009