Detecting local regions of change in high-dimensional criminal or terrorist point processes. - Michael D. Porter; Donald E. Brown (Comput. Stat. Data Anal., 2007)

Network neighborhood analysis. - Michael D. Porter; Ryan Smith (ISI, 2010)

Evaluating temporally weighted kernel density methods for predicting the next event location in a series. - Michael D. Porter; Brian J. Reich (Ann. GIS, 2012)

GPU accelerated MCMC for modeling terrorist activity. - Gentry White; Michael D. Porter (Comput. Stat. Data Anal., 2014)

Optimal Bayesian clustering using non-negative matrix factorization. - Ketong Wang; Michael D. Porter (Comput. Stat. Data Anal., 2018)

Rotational grid, PAI-maximizing crime forecasts. - George O. Mohler; Michael D. Porter (Stat. Anal. Data Min., 2018)

Forecasting for Social Good. - Bahman Rostami Tabar; Mohammad M. Ali; Tao Hong; Rob J. Hyndman; Michael D. Porter; Aris A. Syntetos (CoRR, 2020)

Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. - Sodiq Adewole; Philip Fernandez; James A. Jablonski; Andrew Copland; Michael D. Porter; Sana Syed; Donald E. Brown (IEEE BigData, 2021)

Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak. - Mehrdad Fazli; Samuel Sklar; Michael D. Porter; Brent A. French; Heman Shakeri (IEEE BigData, 2021)

Discovering Influence of Yelp Reviews Using Hawkes Point Processes. - Yichen Jiang; Michael D. Porter (IntelliSys (3), 2021)

How emoji and word embedding helps to unveil emotional transitions during online messaging. - Moeen Mostafavi; Michael D. Porter (SysCon, 2021)

A tale of two metrics: Polling and financial contributions as a measure of performance. - Moeen Mostafavi; Maria Phillips; Yichen Jiang; Michael D. Porter; Paul Freedman (SysCon, 2021)

Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video. - Sodiq Adewole; Philip Fernandez; Michelle Yeghyayan; James A. Jablonski; Andrew Copland; Michael D. Porter; Sana Syed; Donald E. Brown (CoRR, 2021)

Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos. - Sodiq Adewole; Philip Fernandez; James A. Jablonski; Andrew Copland; Michael D. Porter; Sana Syed; Donald E. Brown (CoRR, 2021)

Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. - Sodiq Adewole; Philip Fernandez; James A. Jablonski; Andrew Copland; Michael D. Porter; Sana Syed; Donald E. Brown (CoRR, 2021)

Simulating Fake News Dissemination on Twitter with Multivariate Hawkes Processes. - Yichen Jiang; Michael D. Porter (IEEE Big Data, 2022)

Learning affective meanings that derives the social behavior using Bidirectional Encoder Representations from Transformers. - Moeen Mostafavi; Michael D. Porter; Dawn T. Robinson (CoRR, 2022)

Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis. - Negin Moghadasi; Misagh Piran; Stephen Baek; Rupa S. Valdez; Michael D. Porter; DeAndre A. Johnson; James H. Lambert (SSCI, 2023)

Reevaluating Data Partitioning for Emotion Detection in EmoWOZ. - Moeen Mostafavi; Michael D. Porter (CoRR, 2023)

The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning. - Shan Guleria; Benjamin Schwartz; Yash Sharma 002; Philip Fernandez; James A. Jablonski; Sodiq Adewole; Sanjana Srivastava; Fisher Rhoads; Michael D. Porter; Michelle Yeghyayan; Dylan Hyatt; Andrew Copland; et al. (CoRR, 2023)

Quantifying the Influence of User Behaviors on the Dissemination of Fake News on Twitter with Multivariate Hawkes Processes. - Yichen Jiang; Michael D. Porter (CoRR, 2023)

Sequential LLM Framework for Fashion Recommendation. - Han Liu; Xianfeng Tang; Tianlang Chen; Jiapeng Liu; Indu Indu; Henry Peng Zou; Peng Dai; Roberto F. Galán; Michael D. Porter; Dongmei Jia; Ning Zhang 017; Lian Xiong (EMNLP (Industry Track), 2024)

DeepCensored: Deep-Learning Based Probabilistic Forecasting Framework for Censored Data. - Jiahao Tian; Michael D. Porter (ICMLA, 2024)