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2020 – today
- 2024
[c9]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:
Sequential LLM Framework for Fashion Recommendation. EMNLP (Industry Track) 2024: 1276-1285- [i10]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:
Sequential LLM Framework for Fashion Recommendation. CoRR abs/2410.11327 (2024) - 2023
- [c8]Negin Moghadasi, Misagh Piran, Stephen Baek, Rupa S. Valdez, Michael D. Porter
, DeAndre A. Johnson, James H. Lambert:
Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis. SSCI 2023: 1800-1807 - [i9]Moeen Mostafavi, Michael D. Porter:
Reevaluating Data Partitioning for Emotion Detection in EmoWOZ. CoRR abs/2303.13364 (2023) - [i8]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:
The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning. CoRR abs/2308.13035 (2023) - [i7]Yichen Jiang, Michael D. Porter:
Quantifying the Influence of User Behaviors on the Dissemination of Fake News on Twitter with Multivariate Hawkes Processes. CoRR abs/2308.13927 (2023) - 2022
- [c7]Yichen Jiang, Michael D. Porter:
Simulating Fake News Dissemination on Twitter with Multivariate Hawkes Processes. IEEE Big Data 2022: 3597-3606 - [i6]Moeen Mostafavi, Michael D. Porter, Dawn T. Robinson:
Learning affective meanings that derives the social behavior using Bidirectional Encoder Representations from Transformers. CoRR abs/2202.00065 (2022) - 2021
- [c6]Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown:
Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. IEEE BigData 2021: 388-399 - [c5]Mehrdad Fazli, Samuel Sklar, Michael D. Porter, Brent A. French, Heman Shakeri:
Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak. IEEE BigData 2021: 4342-4349 - [c4]Yichen Jiang, Michael D. Porter:
Discovering Influence of Yelp Reviews Using Hawkes Point Processes. IntelliSys (3) 2021: 84-104 - [c3]Moeen Mostafavi, Michael D. Porter:
How emoji and word embedding helps to unveil emotional transitions during online messaging. SysCon 2021: 1-8 - [c2]Moeen Mostafavi, Maria Phillips, Yichen Jiang, Michael D. Porter, Paul Freedman:
A tale of two metrics: Polling and financial contributions as a measure of performance. SysCon 2021: 1-6 - [i5]Sodiq Adewole, Philip Fernandez, Michelle Yeghyayan, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown:
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video. CoRR abs/2101.04240 (2021) - [i4]Moeen Mostafavi, Michael D. Porter:
How emoji and word embedding helps to unveil emotional transitions during online messaging. CoRR abs/2104.11032 (2021) - [i3]Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown:
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos. CoRR abs/2110.09067 (2021) - [i2]Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown:
Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. CoRR abs/2110.09110 (2021) - 2020
- [i1]Bahman Rostami Tabar, Mohammad M. Ali, Tao Hong, Rob J. Hyndman, Michael D. Porter, Aris A. Syntetos:
Forecasting for Social Good. CoRR abs/2009.11669 (2020)
2010 – 2019
- 2018
- [j5]Ketong Wang, Michael D. Porter:
Optimal Bayesian clustering using non-negative matrix factorization. Comput. Stat. Data Anal. 128: 395-411 (2018) - [j4]George O. Mohler, Michael D. Porter:
Rotational grid, PAI-maximizing crime forecasts. Stat. Anal. Data Min. 11(5): 227-236 (2018) - 2014
- [j3]Gentry White, Michael D. Porter:
GPU accelerated MCMC for modeling terrorist activity. Comput. Stat. Data Anal. 71: 643-651 (2014) - 2012
- [j2]Michael D. Porter, Brian J. Reich:
Evaluating temporally weighted kernel density methods for predicting the next event location in a series. Ann. GIS 18(3): 225-240 (2012) - 2010
- [c1]Michael D. Porter, Ryan Smith:
Network neighborhood analysis. ISI 2010: 31-36
2000 – 2009
- 2007
- [j1]Michael D. Porter, Donald E. Brown:
Detecting local regions of change in high-dimensional criminal or terrorist point processes. Comput. Stat. Data Anal. 51(5): 2753-2768 (2007)
Coauthor Index
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last updated on 2024-11-27 20:24 CET by the dblp team
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