Michael D. Porter

Orcid: 0000-0001-9316-3578

According to our database1, Michael D. Porter authored at least 21 papers between 2007 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2023
Quantifying the Influence of User Behaviors on the Dissemination of Fake News on Twitter with Multivariate Hawkes Processes.
CoRR, 2023

The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning.
CoRR, 2023

Reevaluating Data Partitioning for Emotion Detection in EmoWOZ.
CoRR, 2023

Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Learning affective meanings that derives the social behavior using Bidirectional Encoder Representations from Transformers.
CoRR, 2022

Simulating Fake News Dissemination on Twitter with Multivariate Hawkes Processes.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos.
CoRR, 2021

Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos.
CoRR, 2021

Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video.
CoRR, 2021

A tale of two metrics: Polling and financial contributions as a measure of performance.
Proceedings of the IEEE International Systems Conference, 2021

How emoji and word embedding helps to unveil emotional transitions during online messaging.
Proceedings of the IEEE International Systems Conference, 2021

Discovering Influence of Yelp Reviews Using Hawkes Point Processes.
Proceedings of the Intelligent Systems and Applications, 2021

Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Forecasting for Social Good.
CoRR, 2020

2018
Rotational grid, PAI-maximizing crime forecasts.
Stat. Anal. Data Min., 2018

Optimal Bayesian clustering using non-negative matrix factorization.
Comput. Stat. Data Anal., 2018

2014
GPU accelerated MCMC for modeling terrorist activity.
Comput. Stat. Data Anal., 2014

2012
Evaluating temporally weighted kernel density methods for predicting the next event location in a series.
Ann. GIS, 2012

2010
Network neighborhood analysis.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2010

2007
Detecting local regions of change in high-dimensional criminal or terrorist point processes.
Comput. Stat. Data Anal., 2007


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