Nicholas J. Matiasz

According to our database, Nicholas J. Matiasz authored at least 7 papers between 2016 and 2022.

Collaborative distances:

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

2022

OpBerg: Discovering Causal Sentences Using Optimal Alignments.

Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang

Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2021

Experiment Selection in Meta-Analytic Piecemeal Causal Discovery.

Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu

IEEE Access, 2021

2018

Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies.

Jean I. Garcia-Gathright, Nicholas J. Matiasz, Carlos Adame, Karthik V. Sarma, Lauren Sauer, Nova F. Smedley, Marshall L. Spiegel, Jennifer Strunck, Edward B. Garon, Ricky K. Taira, Denise R. Aberle, Alex A. T. Bui

Comput. Biol. Medicine, 2018

2017

Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience.

Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu

Frontiers Neuroinformatics, 2017

Translating literature into causal graphs: Toward automated experiment selection.

Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Toward patient-tailored summarization of lung cancer literature.

Jean I. Garcia-Gathright, Nicholas J. Matiasz, Edward B. Garon, Denise R. Aberle, Ricky K. Taira, Alex A. T. Bui

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

MedicineMaps: A Tool for Mapping and Linking Evidence from Experimental and Clinical Trial Literature.

Nicholas J. Matiasz, Wei-Ting Chen, Alcino J. Silva, William Hsu

Proceedings of the AMIA 2016, 2016