John Matta

According to our database, John Matta authored at least 27 papers between 2013 and 2023.

Collaborative distances:

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

2023

Economic and Health Burdens of HIV and COVID-19: Insights from a Survey of Underserved Communities in Semi-Urban and Rural Illinois.

John Matta, Koushik Sinha, Cameron Woodard, Zachary Sappington, John Philbrick

Proceedings of the Complex Networks & Their Applications XII, 2023

Retweeting Twitter Hate Speech After Musk Acquisition.

Trevor Auten, John Matta

Proceedings of the Complex Networks & Their Applications XII, 2023

2021

A PheWAS Model of Autism Spectrum Disorder.

John Matta, Daniel Dobrino, Swade Howard, Dacosta Yeboah, Jonathan Kopel, Yasser El-Manzalawy, Tayo Obafemi-Ajayi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Preserving Multiple Homophilies in a Network Configuration Model.

Derek Lopez, Bhuvaneshwar Mohan, Lyric Boone, John Matta

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Estimating the Number of HIV+ Latino MSM Using RDS, SS-PSE, and the Census.

Nicholas Budzban, Katherine Silverio, John Matta

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Inferred Networks and the Social Determinants of Health.

Prashant Sanjel, John Matta

Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Overnight Feedback Reduces Late Submissions on Programming Projects in CS1.

Dennis J. Bouvier, Ellie Lovellette, John Matta

Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

2020

Analysis of Medical Data Using Community Detection on Inferred Networks.

Jordan Kramer, Lyric Boone, Thomas Clifford, Justin Bruce, John Matta

IEEE J. Biomed. Health Informatics, 2020

Improved Classification of Medical Data Using Meta-Best Feature Selection.

Matthew Chaplin, Jacob Grubb, Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Identifying Biomarkers for Important Nodes in Networks of Sexual and Drug Activity.

Jacob Grubb, Derek Lopez, Bhuvaneshwar Mohan, John Matta

Proceedings of the Complex Networks & Their Applications IX, 2020

2019

5G device-to-device communication security and multipath routing solutions.

Aslihan Celik, Jessica Tetzner, Koushik Sinha, John Matta

Appl. Netw. Sci., 2019

Spreading of rodent infestations through a city.

Dalton Brooks, John Matta

Appl. Netw. Sci., 2019

Factors Affecting the Adoption of Peer Instruction in Computing Courses.

Dennis J. Bouvier, Ellie Lovellette, John Matta, Jing Bai, Jacqueline Chetty, Stan Kurkovsky, Jia Wan

Proceedings of the Working Group Reports on Global Computing Education, Chengdu,Sichuan, 2019

Comparative Analysis of Feature Selection Methods to Identify Biomarkers in a Stroke-Related Dataset.

Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

Using Node-Based Resilience Clustering to Predict and Analyze Medical Data.

Thomas Clifford, Justin Bruce, John Matta

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2018

Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes.

John Matta, Junya Zhao, Gunes Ercal, Tayo Obafemi-Ajayi

Appl. Netw. Sci., 2018

Analysis of grapevine gene expression data using node-based resilience clustering.

Jeffrey Dale, John Matta, Susanne Howard, Gunes Ercal, Wenping Qiu, Tayo Obafemi-Ajayi

Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2018

The best of IBM innovation: advancements through overcoming technological uncertainties.

Jerrold Landau, Perry Fuller, Shawn Robertson, Babneet Singh, John Matta, Nick Schofield, Andrew Craik, Igor Todorovski

Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

2017

The vertex attack tolerance of complex networks.

John Matta, Gunes Ercal, Jeffrey Borwey

RAIRO Oper. Res., 2017

Just the Numbers: An Investigation of Contextualization of Problems for Novice Programmers.

Ellie Lovellette, John Matta, Dennis J. Bouvier, Roger Frye

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

A Comparison of Approaches to Computing Betweenness Centrality for Large Graphs.

John Matta

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

The Quality of Sampling from Geographic Networks.

John Matta, Gunes Ercal, William Stimson

Int. J. Distributed Sens. Networks, 2016

Novice Programmers and the Problem Description Effect.

Dennis J. Bouvier, Ellie Lovellette, John Matta, Bedour Alshaigy, Brett A. Becker, Michelle Craig, Jana Jacková, Robert McCartney, Kate Sanders, Mark Zarb

Proceedings of the 2016 ITiCSE Working Group Reports, 2016

Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures.

John Matta, Tayo Obafemi-Ajayi, Jeffrey Borwey, Donald C. Wunsch, Gunes Ercal

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014

Comparative Resilience Notions and Vertex Attack Tolerance of Scale-Free Networks.

John Matta, Jeffrey Borwey, Gunes Ercal

CoRR, 2014

2013

On the Quality of Sampling from Geographic Networks.

Gunes Ercal, John Matta, William Stimson, Dominic Eccher

Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

Resilience Notions for Scale-free Networks.

Gunes Ercal, John Matta

Proceedings of the Complex Adaptive Systems 2013 Conference, 2013