Michael D. Porter
Orcid: 0000-0001-9316-3578
According to our database1,
Michael D. Porter
authored at least 22 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
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
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
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
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
2018
Comput. Stat. Data Anal., 2018
2014
2012
Evaluating temporally weighted kernel density methods for predicting the next event location in a series.
Ann. GIS, 2012
2010
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