Joseph Johnson

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Unlimited Testing: Let's Test Your Emails with AI.

[BibT_eX]

[DOI]

Nguyen Nguyen

Joseph Johnson

Michael Tsiros

Mark. Sci., 2024

Improved learning in human evolutionary systems with dynamic contrastive learning.

[BibT_eX]

[DOI]

Joseph Johnson

Christophe G. Giraud-Carrier

Bradley Hatch

Intell. Data Anal., 2024

GT-CHES: Graph transformation for classification in human evolutionary systems.

[BibT_eX]

[DOI]

Joseph Johnson

Christophe G. Giraud-Carrier

Intell. Data Anal., 2024

A Framework for Perception Analysis of Social Media Data During Disease Outbreaks: Uncovering Patterns of Resentment Towards Bats.

[BibT_eX]

[DOI]

Izunna Okpala

Guillermo Romera Rodriguez

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Inference for Variance-Gamma Driven Stochastic Systems.

[BibT_eX]

[DOI]

Joseph Johnson

Yaman Kindap

Simon J. Godsill

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2019

Diversity, accuracy and efficiency in ensemble learning: An unexpected result.

[BibT_eX]

[DOI]

Joseph Johnson

Christophe G. Giraud-Carrier

Intell. Data Anal., 2019

Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Recommending Long-Tail Items Using Extended Tripartite Graphs.

[BibT_eX]

[DOI]

Andrew Luke

Joseph Johnson

Yiu-Kai Ng

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Enhancing long tail item recommendations using tripartite graphs and Markov process.

[BibT_eX]

[DOI]

Joseph Johnson

Yiu-Kai Ng

Proceedings of the International Conference on Web Intelligence, 2017

Using tripartite graphs to make long tail recommendations.

[BibT_eX]

[DOI]

Joseph Johnson

Yiu-Kai Ng

Proceedings of the 8th International Conference on Information, 2017

Multimodal Content Analysis for Effective Advertisements on YouTube.

[BibT_eX]

[DOI]

Srinivasan Parthasarathy

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Intelligent agent development using unstructured text corpora and multiple choice questions.

[BibT_eX]

[DOI]

Joseph Johnson

PhD thesis, 2016

Sequential Pattern Based Temporal Contour Representations for Content-Based Multimedia Timeline Analysis.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Variability in the Sequence of HL7 2.x Event Code Types used to Represent Encounters Across a Health Information Exchange.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2015, 2015

2014

High-Temperature Piezoelectric Sensing.

[BibT_eX]

[DOI]

Sensors, 2014

2012

EmpaTweet: Annotating and Detecting Emotions on Twitter.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

2009

Mining product reviews based on shallow dependency parsing.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

2001

A Java unit and integration testing tool.

[BibT_eX]

Proceedings of the ISCA 16th International Conference Computers and Their Applications, 2001

Joseph Johnson

Bibliography

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