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ORCIDNasseh Tabrizi
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2020 – today
- 2023
[c34]Mehrdad Rezaei, Nasseh Tabrizi:
A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems. DeLTA 2023: 385-402- [c33]Maryam Navaei, Nasseh Tabrizi:
Impact of Machine Learning on Software Development Life Cycle. ENASE 2023: 718-726 - [c32]Alireza Ashayer, Joseph Wireman
, Nasseh Tabrizi:
Machine Learning and Blockchain Intersection in Cryptocurrency Price Prediction. ICBC 2023: 72-88 - [c31]Sumati Kulkarni, Joseph Wireman, Nasseh Tabrizi:
Framework for Design and Development of Blockchain Applications Using Smart Contracts. ICBC 2023: 119-131 - [c30]James Philips, Nasseh Tabrizi:
Bibliographic Reference Classification in Historiographic Documents using Supervised Machine Learning and Grammatical Features. ICISDM 2023: 96-102 - 2022
- [j7]Vishwa Patel, Nasseh Tabrizi:
An Automatic Text Summarization: A Systematic Review. Computación y Sistemas 26(3) (2022) - [c29]Mehrdad Rezaei, Nasseh Tabrizi:
Recommender System using Reinforcement Learning: A Survey. DeLTA 2022: 148-159 - [c28]Maryam Navaei, Nasseh Tabrizi:
Machine Learning in Software Development Life Cycle: A Comprehensive Review. ENASE 2022: 344-354 - [c27]Sam Thomas, Farnoosh Koleini, Nasseh Tabrizi:
Dynamic defenses and the transferability of adversarial examples. TPS-ISA 2022: 276-284 - [d1]Anish Sana, Jamie L. Perry, Nasseh Tabrizi:
Investigating Velopharyngeal Closure Force with Linear Regression. IEEE DataPort, 2022
- 2021
- [c26]Storm Davis, Nasseh Tabrizi:
Customer Review Analysis: A Systematic Review. BCD 2021: 91-97 - [c25]Zeinab Khanjarinezhadjooneghani, Nasseh Tabrizi:
Social Media Analytics: An Overview of Applications and Approaches. KDIR 2021: 233-240 - 2020
- [j6]Akhil Gudivada, James Philips, Nasseh Tabrizi:
Developing Concept Enriched Models for Big Data Processing Within the Medical Domain. Int. J. Softw. Sci. Comput. Intell. 12(3): 55-71 (2020) - [c24]James Philips, Nasseh Tabrizi:
Historical Document Processing: A Survey of Techniques, Tools, and Trends. KDIR 2020: 341-349 - [c23]Storm P. Davis, Alireza Ashayer, Nasseh Tabrizi:
Predicting Sex and Age using Swipe-Gesture Data from a Mobile Device. ISPA/BDCloud/SocialCom/SustainCom 2020: 1136-1143 - [c22]James Philips, Nathanael Fenwick, Storm Davis, Nasseh Tabrizi:
Improving Student Success through an Articulation Program in Software Engineering. SIGITE 2020: 378-383 - [i2]James P. Philips, Nasseh Tabrizi:
Historical Document Processing: Historical Document Processing: A Survey of Techniques, Tools, and Trends. CoRR abs/2002.06300 (2020)
2010 – 2019
- 2019
- [j5]Babak Maleki-Shoja, Nasseh Tabrizi:
Customer Reviews Analysis With Deep Neural Networks for E-Commerce Recommender Systems. IEEE Access 7: 119121-119130 (2019) - [j4]Aryan Azimzadeh, Babak Maleki-Shoja, Nasseh Tabrizi:
A hybrid power management schema for multi-tier data centres. Int. J. Big Data Intell. 6(3/4): 291-296 (2019) - [c21]Akhil Gudivada, Nasseh Tabrizi:
Developing Concept Enriched Models for Processing Big Data Within the Medical Domain. ICCI*CC 2019: 222-229 - [c20]Babak Maleki-Shoja, Nasseh Tabrizi:
Tags-Aware Recommender Systems: A Systematic Review. BCD 2019: 11-18 - [c19]Anish Sana, James Philips, Jamie L. Perry, Nasseh Tabrizi:
Investigating Velopharyngeal Closure Force with Linear Regression. BIBM 2019: 2433-2437 - [c18]Jia Yao, Babak Maleki-Shoja, Nasseh Tabrizi:
An Overview of Cloud Computing Testing Research. CLOUD 2019: 303-313 - [c17]Deepthi Hassan Lakshminarayana, James Philips, Nasseh Tabrizi:
A Survey of Intrusion Detection Techniques. ICMLA 2019: 1122-1129 - [c16]Sana Abida Amin, James Philips, Nasseh Tabrizi:
Current Trends in Collaborative Filtering Recommendation Systems. SERVICES 2019: 46-60 - 2018
- [c15]Bryan Pauken, Mudit Pradyumn, Nasseh Tabrizi:
Tracking Happiness of Different US Cities from Tweets. BigData Congress 2018: 140-148 - [c14]Mudit Pradyumn, Akshat Kapoor, Nasseh Tabrizi:
Big Data Analytics on Twitter - A Systematic Review of Applications and Methods. BigData Congress 2018: 326-333 - [c13]Alireza Ashayer, Seyedfaraz Yasrobi, Sam Thomas, Nasseh Tabrizi:
Performance Analysis of Hadoop Cluster for User Behavior Analysis. HPCC/SmartCity/DSS 2018: 805-809 - [c12]Sam Thomas, Nasseh Tabrizi:
Adversarial Machine Learning: A Literature Review. MLDM (1) 2018: 324-334 - [c11]Akhil Gudivada, Nasseh Tabrizi:
A Literature Review on Machine Learning Based Medical Information Retrieval Systems. SSCI 2018: 250-257 - 2017
- [j3]Seyedfaraz Yasrobi, Jakayla Alston, Babak Yadranjiaghdam, Nasseh Tabrizi:
Performance Analysis of Sparks Machine Learning Library. Trans. Mach. Learn. Data Min. 10(2): 67-77 (2017) - [c10]Babak Yadranjiaghdam, Seyedfaraz Yasrobi, Nasseh Tabrizi:
Developing a Real-Time Data Analytics Framework for Twitter Streaming Data. BigData Congress 2017: 329-336 - [c9]Aryan Azimzadeh, Nasseh Tabrizi:
A Dynamic Power Management Schema for Multi-tier Data Centers. DASC/PiCom/DataCom/CyberSciTech 2017: 1114-1118 - [c8]Julian Brinkley, David Hoffman, Nasseh Tabrizi:
A Social Networking Site Portable Profile System for Blind and Visually Impaired Users Based on Cloud and Semantic Web Technologies. ICCC 2017: 104-111 - [c7]David Hoffman, Nasseh Tabrizi:
A literature survey on handwriting recognition: trends and methodologies. MDA 2017: 74-92 - 2016
- [j2]Gregory Knight, Nasseh Tabrizi:
Using n-Grams to Identify Time Periods of Cultural Influence. ACM Journal on Computing and Cultural Heritage 9(3): 15:1-15:19 (2016) - [c6]Babak Yadranjiaghdam, Komal Hotwani, Nasseh Tabrizi:
A Risk Evaluation Framework for Service Level Agreements. CIT 2016: 681-685 - [i1]Aryan Azimzadeh, Nasseh Tabrizi:
A Dynamic Power Management Schema for Multi-Tier Data Centers. CoRR abs/1604.04320 (2016) - 2014
- [j1]Sahar Bazargani, Julian Brinkley, Nasseh Tabrizi:
The Feed Analyzer: Implementation and Evaluation. J. Digit. Inf. Manag. 12(6): 395-406 (2014) - 2013
- [c5]Daniel Knight, Gregory Knight, Nasseh Tabrizi:
Overhauling legacy enterprise software applications with a Concept Refinement Process Model. MESOCA 2013: 22-30 - 2012
- [c4]Julian Brinkley, Sahar Bazargani, Nasseh Tabrizi:
Developing an agent based Feed Analyzer system in the cloud. CloudCom 2012: 217-224 - 2011
- [c3]Sergiy Vilkomir, Ali Asghary Karahroudy, Nasseh Tabrizi:
Interface Testing Using a Subgraph Splitting Algorithm: A Case Study. SEKE 2011: 219-224 - 2010
- [c2]Boya Xie, Mohsin Mehdi, Girish Vuggina, Nasseh Tabrizi:
Sigma Feature for Offline Cursive Handwriting Recognition. IPCV 2010: 750-754 - [c1]Sri Pujitha Vemareddy, Karl Abrahamson, Nasseh Tabrizi:
Features-based Approach For Handwriting Recognition. IPCV 2010: 765-768
Coauthor Index
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