Matin Pirouz

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 37

Top Topics

Community Detection

Top Venues

Publications

John Eagan, Marc Herdman, Christian Vaughn, Nathaniel Bean, Sarah Kern, Matin Pirouz
An Efficient Parallel Divide-and-Conquer Algorithm for Generalized Matrix Multiplication. CCWC (2023)
Jimmy Ming-Tai Wu, Gautam Srivastava, Alireza Jolfaei, Matin Pirouz, Jerry Chun-Wei Lin
Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model. IEEE Trans. Emerg. Top. Comput. Intell. 6 (1) (2022)
Jimmy Ming-Tai Wu, Meng-Hsiun Tsai, Tu-Wei Li, Matin Pirouz
Analysis and construction by convolution neural network of link prediction model on social network. J. Intell. Fuzzy Syst. 43 (2) (2022)
Jasleen Dhillon, Nandana Priyanka Eluri, Damanpreet Kaur, Aafreen Chhipa, Ashwin Gadupudi, Rajeswari Cherupulli Eravi, Matin Pirouz
Analysis of Airbnb Prices using Machine Learning Techniques. CCWC (2021)
Matin Pirouz
Optimized Ranking-Based Community Detection. CSCI (2021)
Israel Perez, Min Su, Leonardo Yoshida, Manali Ajudiya, Enrique Verduzco, Julian Sandoval, Ryan Perez, Matin Pirouz
Determining Level of Service of California Highways. CCWC (2021)
Nicholas Cochrane, Thomas Gomez, John Warmerdam, Moises Flores, Preston Mccullough, Vincent Weinberger, Matin Pirouz
Pattern Analysis for Transaction Fraud Detection. CCWC (2021)
Jimmy Ming-Tai Wu, Qian Teng, Gautam Srivastava, Matin Pirouz, Jerry Chun-Wei Lin
The Efficient Mining of Skyline Patterns from a Volunteer Computing Network. ACM Trans. Internet Techn. 21 (4) (2021)
Matin Pirouz
Balanced Weighted Label Propagation. SAI (2) (2021)
Shahab Tayeb, Sumanjit Gill, Fletcher Trueblood, Robert Wong, Matin Pirouz
A Network-Centric Analysis for the Internet of Vehicles and Simulation Tools. IEEE Access 8 (2020)
Fletcher Trueblood, Sumanjit Gill, Robert Wong, Shahab Tayeb, Matin Pirouz
A Data-Centric Approach to Taming the Message Dissemination in the Internet of Vehicles. CCWC (2020)
Vikrant Doma, Matin Pirouz
A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals. J. Big Data 7 (1) (2020)
Jerry Chun-Wei Lin, Matin Pirouz, Youcef Djenouri, Chien-Fu Cheng, Usman Ahmed
Incrementally updating the high average-utility patterns with pre-large concept. Appl. Intell. 50 (11) (2020)
Jerry Chun-Wei Lin, Ting Li, Matin Pirouz, Ji Zhang, Philippe Fournier-Viger
High average-utility sequential pattern mining based on uncertain databases. Knowl. Inf. Syst. 62 (3) (2020)
Jimmy Ming-Tai Wu, Qian Teng, Gautam Srivastava, Matin Pirouz, Jerry Chun-Wei Lin
Efficient Mining of Non-Dominated High Quantity-Utility Patterns. ICDM (Workshops) (2020)
Jerry Chun-Wei Lin, Yuanfa Li, Matin Pirouz, Linlin Tang, Miroslav Voznák, Lukas Sevcik
Synthesization of High-Utility Patterns in Parallel Computing. DS-RT (2019)
Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Yinan Shao, Matin Pirouz, Binbin Zhang
A Latent Variable CRF Model for Labeling Prediction. MISNC (2019)
Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Yinan Shao, Matin Pirouz, Binbin Zhang
An Effective BI-encoded Schema for Mention Extraction. MISNC (2019)
Vanessa Sanchez, Russell Ro, Lauryn Kent, Jamie Navas, Oluwatosin Diyan, Chris Roussel, Shahab Tayeb, Matin Pirouz, Carter Chiu, Elliott Ploutz, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh
ScanAlert: Electronic Medication Monitor and Reminder to Improve Medical Adherence. CCWC (2019)
Jerry Chun-Wei Lin, Yinan Shao, Yujie Zhou, Matin Pirouz, Hsing-Chung Chen
A Bi-LSTM mention hypergraph model with encoding schema for mention extraction. Eng. Appl. Artif. Intell. 85 (2019)
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Tomasz Wiktorski, Tzung-Pei Hong, Matin Pirouz
A GA-based Framework for Mining High Fuzzy Utility Itemsets. IEEE BigData (2019)
Jimmy Ming-Tai Wu, Zhongcui Li, Jerry Chun-Wei Lin, Matin Pirouz
A New Convolution Neural Network Model for Stock Price Prediction. ICGEC (2019)
Shahab Tayeb, Abigail Week, Joshua Yee, Mayra Carrera, Kuira Edwards, Vicki Murray-Garcia, Meghann Marchello, Justin Zhan, Matin Pirouz
Toward metadata removal to preserve privacy of social media users. CCWC (2018)
Matin Pirouz, Justin Zhan
Optimized Label Propagation Community Detection on Big Data Networks. ICBDE (2018)
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger
New Tighter Upper Bounds for Mining High Average-Utility Itemsets. ICBDE (2018)
Felix Zhan, Brandon Waters, Maria Mijangos, LeAnn Chung, Raghav Bhagat, Tanvi Bhagat, Matin Pirouz, Carter Chiu, Shahab Tayeb, Elliott Ploutz, Justin Zhan, Laxmi P. Gewali
An efficient alternative to personalized page rank for friend recommendations. CCNC (2018)
Felix Zhan, Gabriella Laines, Sarah Deniz, Sahan Paliskara, Irvin Ochoa, Idania Guerra, Shahab Tayeb, Carter Chiu, Matin Pirouz, Elliott Ploutz, Justin Zhan, Laxmi P. Gewali, Paul Yu Oh
Prediction of online social networks users' behaviors with a game theoretic approach. CCNC (2018)
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger
TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns. IEEE Access 6 (2018)
Matin Pirouz, Sai Phani Parsa, Justin Zhan
Optimized Rank Estimator in Big Data Social Networks. ICBDE (2018)
Shahab Tayeb, Matin Pirouz, Shahram Latifi
A Raspberry-Pi Prototype of Smart Transportation. ICSEng (2017)
Matin Pirouz, Justin Zhan
Toward Efficient Hub-Less Real Time Personalized PageRank. IEEE Access 5 (2017)
Shahab Tayeb, Matin Pirouz, Gabriel Esguerra, Kimiya Ghobadi, Jimson Huang, Robin Hill, Derwin Lawson, Stone Li, Tiffany Zhan, Justin Zhan, Shahram Latifi
Securing the positioning signals of autonomous vehicles. IEEE BigData (2017)
Shahab Tayeb, Matin Pirouz, Brittany Cozzens, Richard Huang, Maxwell Jay, Kyle Khembunjong, Sahan Paliskara, Felix Zhan, Mark Zhang, Justin Zhan, Shahram Latifi
Toward data quality analytics in signature verification using a convolutional neural network. IEEE BigData (2017)
Shahab Tayeb, Matin Pirouz, Johann Sun, Kaylee Hall, Andrew Chang, Jessica Li, Connor Song, Apoorva Chauhan, Michael Ferra, Theresa Sager, Justin Zhan, Shahram Latifi
Toward predicting medical conditions using k-nearest neighbors. IEEE BigData (2017)
Haysam Selim, Shahab Tayeb, Yoohwan Kim, Justin Zhan, Matin Pirouz
Vulnerability Analysis of Iframe Attacks on Websites. MISNC (2016)
Matin Pirouz, Justin Zhan
Optimized relativity search: node reduction in personalized page rank estimation for large graphs. J. Big Data 3 (2016)
Matin Pirouz, Justin Zhan, Shahab Tayeb
An optimized approach for community detection and ranking. J. Big Data 3 (2016)