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- Doina Bein
California State University, Fullerton, CA, USA
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Publication search results
found 79 matches
- 2023
- Chary Vielma, Abhishek Verma, Doina Bein:
Sentiment Analysis with Novel GRU based Deep Learning Networks. AIIoT 2023: 440-446 - Sandra Nguyen, Doina Bein:
Data Science Analysis of Malicious Advertisements and Threat Detection Automation for Cybersecurity Progress. CCWC 2023: 695-704 - 2021
- Joel Varma Dirisam, Doina Bein, Abhishek Verma:
Predictive Analytics of Donors in crowdfunding platforms: A case study on Donorschoose.org. CCWC 2021: 834-838 - Vedant Maniyar, Doina Bein, Marian Sorin Nistor, Stefan Pickl:
Drug Safety Intelligence and Automation. CCWC 2021: 585-590 - Arthi Akilandesvari Ramesh, Sai Pavani Nagisetti, Nikhil Sridhar, Kenytt Avery, Doina Bein:
Station-level Demand Prediction for Bike-Sharing System. CCWC 2021: 916-921 - Ratik Ratnakar Shetty, Doina Bein, Marian Sorin Nistor, Stefan Pickl:
Semiotic Recognition System. CCWC 2021: 873-877 - Xiaoyuan Suo, Olga Glebova, David Liu, Alina Lazar, Doina Bein:
A Survey of Teaching PDC Content in Undergraduate Curriculum. CCWC 2021: 1306-1312 - 2020
- Jithin Eapen, Abhishek Verma, Doina Bein:
Improved big data stock index prediction using deep learning with CNN and GRU. Int. J. Big Data Intell. 7(4): 202-210 (2020) - 2019
- Thomas Abrahams, Doina Bein:
Analyzing Beauty by Building Custom Profiles Using Machine Learning. CCWC 2019: 372-376 - Jithin Eapen, Doina Bein, Abhishek Verma:
Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction. CCWC 2019: 264-270 - Anoop Jeerige, Doina Bein, Abhishek Verma:
Comparison of Deep Reinforcement Learning Approaches for Intelligent Game Playing. CCWC 2019: 366-371 - Neha Rale, Raxitkumar Solanki, Doina Bein, James Andro-Vasko, Wolfgang Bein:
Prediction of Crop Cultivation. CCWC 2019: 227-232 - Raxitkumar Solanki, Sree Harsha Ravilla, Doina Bein:
Study of Distributed Framework Hadoop and Overview of Machine Learning using Apache Mahout. CCWC 2019: 252-257 - Resham Jhangiani, Doina Bein, Abhishek Verma:
Machine Learning Pipeline for Fraud Detection and Prevention in E-Commerce Transactions. UEMCON 2019: 135-140 - 2018
- Natalie Ang, Doina Bein, David Dao, Luigi Sanchez, Justine Tran, Navie Vurdien:
Emotional prosody analysis on human voices. CCWC 2018: 737-741 - Jason Ligon, Doina Bein, Phillip Ly, Brian Onesto:
3D point cloud processing using spin images for object detection. CCWC 2018: 731-736 - Nileshkumar Pandey, Doina Bein:
Web application for social networking using RTC. CCWC 2018: 336-340 - Vinay Ramappa, Doina Bein:
MusiqGlobe.fm using MEAN stack. CCWC 2018: 661-664 - Phillip Ly, Doina Bein, Abhishek Verma:
New Compact Deep Learning Model for Skin Cancer Recognition. UEMCON 2018: 255-261 - Doina Bein:
Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking, Varanasi, India, January 04-07, 2018. ACM 2018 [contents] - 2017
- Marian Sorin Nistor, Doina Bein, Horia-Nicolai Teodorescu, Stefan Wolfgang Pickl:
Finding the Maximal Day-Time Dependent Component of a Subway System. AHFE (7) 2017: 562-572 - Nikyle Nguyen, Doina Bein:
Distributed MPI cluster with Docker Swarm mode. CCWC 2017: 1-7 - Shawn Ricardo, Doina Bein, Anand Panagadan:
Low-cost, real-time obstacle avoidance for mobile robots. CCWC 2017: 1-7 - 2016
- Doina Bein, Bharat B. Madan:
Reducing the data communication delay in wireless sensor networks. ICCP 2016: 361-368 - Bharat B. Madan, Doina Bein:
Optimal maximum likelihood estimates fusion in distributed network of sensors. ICCP 2016: 369-375 - Bharat B. Madan, Manoj Banik, Bo Chen Wu, Doina Bein:
Intrusion Tolerant Multi-cloud Storage. SmartCloud 2016: 262-268 - 2015
- Doina Bein, Wolfgang Bein, Ashish Karki, Bharat B. Madan:
Optimizing Border Patrol Operations Using Unmanned Aerial Vehicles. ITNG 2015: 479-484 - Marian Sorin Nistor, Doina Bein, Wolfgang W. Bein, Matthias Dehmer, Stefan Pickl:
Time-Based Estimation of Vulnerable Points in the Munich Subway Network. OR 2015: 355-360 - Bharat B. Madan, Doina Bein:
MOE quantification of missions using sensor data driven graph similarity metrics. SpringSim (ANSS) 2015: 57-61 - 2014
- Yicheng Wen, Doina Bein, Shashi Phoha:
Dynamic clustering of multi-modal sensor networks in urban scenarios. Inf. Fusion 15: 130-140 (2014)
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