Michael D. Porter

26 papers B 1C 2Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantifying the influence of user behaviors on the dissemination of fake news on Twitter (X) with Multivariate Hawkes Processes. Soc. Netw. Anal. Min. Yichen Jiang, Michael D. Porter
2024	C	`conf`	DeepCensored: Deep-Learning Based Probabilistic Forecasting Framework for Censored Data. ICMLA Jiahao Tian, Michael D. Porter
2024	—	`conf`	Sequential LLM Framework for Fashion Recommendation. EMNLP (Industry Track) 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, Lian Xiong
2024	J	`jnl`	Sequential LLM Framework for Fashion Recommendation. CoRR Han Liu, Xianfeng Tang, Tianlang Chen, Jiapeng Liu, Indu Indu, Henry Peng Zou, Peng Dai, Roberto Fernández Galán, Michael D. Porter, Dongmei Jia, Ning Zhang, Lian Xiong
2023	J	`jnl`	Quantifying the Influence of User Behaviors on the Dissemination of Fake News on Twitter with Multivariate Hawkes Processes. CoRR Yichen Jiang, Michael D. Porter
2023	J	`jnl`	Reevaluating Data Partitioning for Emotion Detection in EmoWOZ. CoRR Moeen Mostafavi, Michael D. Porter
2023	—	`conf`	Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis. SSCI Negin Moghadasi, Misagh Piran, Stephen Baek, Rupa S. Valdez, Michael D. Porter, DeAndre A. Johnson, James H. Lambert
2023	J	`jnl`	The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning. CoRR Shan Guleria, Benjamin Schwartz, Yash Sharma, Philip Fernandez, James A. Jablonski, Sodiq Adewole, Sanjana Srivastava, Fisher Rhoads, Michael D. Porter, Michelle Yeghyayan, Dylan Hyatt, Andrew Copland, Lubaina Ehsan, Donald E. Brown, Sana Syed
2022	J	`jnl`	Learning affective meanings that derives the social behavior using Bidirectional Encoder Representations from Transformers. CoRR Moeen Mostafavi, Michael D. Porter, Dawn T. Robinson
2022	B	`conf`	Simulating Fake News Dissemination on Twitter with Multivariate Hawkes Processes. IEEE Big Data Yichen Jiang, Michael D. Porter
2021	—	`conf`	A tale of two metrics: Polling and financial contributions as a measure of performance. SysCon Moeen Mostafavi, Maria Phillips, Yichen Jiang, Michael D. Porter, Paul Freedman
2021	—	`conf`	Discovering Influence of Yelp Reviews Using Hawkes Point Processes. IntelliSys (3) Yichen Jiang, Michael D. Porter
2021	J	`jnl`	Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. CoRR Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown
2021	—	`conf`	Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. IEEE BigData Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown
2021	—	`conf`	How emoji and word embedding helps to unveil emotional transitions during online messaging. SysCon Moeen Mostafavi, Michael D. Porter
2021	J	`jnl`	How emoji and word embedding helps to unveil emotional transitions during online messaging. CoRR Moeen Mostafavi, Michael D. Porter
2021	J	`jnl`	Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video. CoRR Sodiq Adewole, Philip Fernandez, Michelle Yeghyayan, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown
2021	J	`jnl`	Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos. CoRR Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown
2021	—	`conf`	Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak. IEEE BigData Mehrdad Fazli, Samuel Sklar, Michael D. Porter, Brent A. French, Heman Shakeri
2020	J	`jnl`	Forecasting for Social Good. CoRR Bahman Rostami Tabar, Mohammad M. Ali, Tao Hong, Rob J. Hyndman, Michael D. Porter, Aris A. Syntetos
2018	J	`jnl`	Optimal Bayesian clustering using non-negative matrix factorization. Comput. Stat. Data Anal. Ketong Wang, Michael D. Porter
2018	J	`jnl`	Rotational grid, PAI-maximizing crime forecasts. Stat. Anal. Data Min. George O. Mohler, Michael D. Porter
2014	J	`jnl`	GPU accelerated MCMC for modeling terrorist activity. Comput. Stat. Data Anal. Gentry White, Michael D. Porter
2012	J	`jnl`	Evaluating temporally weighted kernel density methods for predicting the next event location in a series. Ann. GIS Michael D. Porter, Brian J. Reich
2010	C	`conf`	Network neighborhood analysis. ISI Michael D. Porter, Ryan Smith
2007	J	`jnl`	Detecting local regions of change in high-dimensional criminal or terrorist point processes. Comput. Stat. Data Anal. Michael D. Porter, Donald E. Brown