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ORCIDMatin Pirouz
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2020 – today
- 2023
[c25]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: 442-449- 2022
- [j12]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): 2167-2178 (2022) - [j11]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): 16-25 (2022) - 2021
- [j10]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): 89:1-89:20 (2021) - [c24]Nicholas Cochrane, Thomas Gomez, John Warmerdam, Moises Flores, Preston Mccullough, Vincent Weinberger, Matin Pirouz:
Pattern Analysis for Transaction Fraud Detection. CCWC 2021: 283-289 - [c23]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: 297-303 - [c22]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: 321-328 - [c21]Matin Pirouz:
Optimized Ranking-Based Community Detection. CSCI 2021: 1406-1409 - [c20]Matin Pirouz:
Balanced Weighted Label Propagation. SAI (2) 2021: 1-12 - 2020
- [j9]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: 68342-68364 (2020) - [j8]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): 3788-3807 (2020) - [j7]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): 18 (2020) - [j6]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): 1199-1228 (2020) - [c19]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: 207-214 - [c18]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: 690-695
2010 – 2019
- 2019
- [j5]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: 175-181 (2019) - [c17]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: 2708-2715 - [c16]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: 537-543 - [c15]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: 1-7 - [c14]Jimmy Ming-Tai Wu, Zhongcui Li, Jerry Chun-Wei Lin, Matin Pirouz:
A New Convolution Neural Network Model for Stock Price Prediction. ICGEC 2019: 581-585 - [c13]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Yinan Shao, Matin Pirouz, Binbin Zhang:
An Effective BI-encoded Schema for Mention Extraction. MISNC 2019: 56-67 - [c12]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Yinan Shao, Matin Pirouz, Binbin Zhang:
A Latent Variable CRF Model for Labeling Prediction. MISNC 2019: 68-78 - 2018
- [j4]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: 18655-18669 (2018) - [c11]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: 1-2 - [c10]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: 1-2 - [c9]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: 287-293 - [c8]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: 27-32 - [c7]Matin Pirouz, Justin Zhan:
Optimized Label Propagation Community Detection on Big Data Networks. ICBDE 2018: 57-62 - [c6]Matin Pirouz, Sai Phani Parsa, Justin Zhan:
Optimized Rank Estimator in Big Data Social Networks. ICBDE 2018: 80-84 - 2017
- [j3]Matin Pirouz, Justin Zhan:
Toward Efficient Hub-Less Real Time Personalized PageRank. IEEE Access 5: 26364-26375 (2017) - [c5]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: 2644-2651 - [c4]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: 3897-3903 - [c3]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: 4522-4528 - [c2]Shahab Tayeb, Matin Pirouz, Shahram Latifi:
A Raspberry-Pi Prototype of Smart Transportation. ICSEng 2017: 176-182 - 2016
- [j2]Matin Pirouz, Justin Zhan:
Optimized relativity search: node reduction in personalized page rank estimation for large graphs. J. Big Data 3: 12 (2016) - [j1]Matin Pirouz, Justin Zhan, Shahab Tayeb:
An optimized approach for community detection and ranking. J. Big Data 3: 22 (2016) - [c1]Haysam Selim, Shahab Tayeb, Yoohwan Kim, Justin Zhan, Matin Pirouz:
Vulnerability Analysis of Iframe Attacks on Websites. MISNC 2016: 45
Coauthor Index
aka: Justin Zhan
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