S. H. Alizadeh

发表

A note on pearson correlation coefficient as a metric of similarity in recommender system

Leily Sheugh, S. H. Alizadeh, 2015, 2015 AI & Robotics (IRANOPEN).

A New Model for Best Customer Segment Selection Using Fuzzy TOPSIS Based on Shannon Entropy

Naime Ranjbar Kermany, S. H. Alizadeh, 2012 .

Proposing a prediction model for diagnosing Causes of Infertility by Data Mining Algorithms

S. H. Alizadeh, S. DorMohammadi, M. Shami, 2014 .

Hadi Zare, S. H. Alizadeh, M. Ghatee, 2020, 2020 10th International Symposium onTelecommunications (IST).

A hybrid multi-criteria recommender system using ontology and neuro-fuzzy techniques

Sasan H. Alizadeh, Naime Ranjbar Kermany, S. H. Alizadeh, 2017, Electron. Commer. Res. Appl..

User behavior mining on social media: a systematic literature review

Amir Masoud Rahmani, Sasan H. Alizadeh, Rahebeh Mojtahedi Safari, 2019, Multimedia Tools and Applications.

An enhanced genetic algorithm with new operators for task scheduling in heterogeneous computing systems

Hassan Rashidi, Mehdi Akbari, Sasan H. Alizadeh, 2017, Eng. Appl. Artif. Intell..

Mixture of latent multinomial naive Bayes classifier

Sasan H. Alizadeh, Nima Shiri Harzevili, S. H. Alizadeh, 2018, Appl. Soft Comput..

Effect of distrust propagation to enhance the performance of trust based recommender systems

Sasan H. Alizadeh, Ali Fallahi RahmatAbadi, S. H. Alizadeh, 2018, 2018 9th Conference on Artificial Intelligence and Robotics and 2nd Asia-Pacific International Symposium.

A hybrid recommender system using multi layer perceptron neural network

Sasan H. Alizadeh, Didar Divani Sanandaj, S. H. Alizadeh, 2018, 2018 8th Conference of AI & Robotics and 10th RoboCup Iranopen International Symposium (IRANOPEN).

A novel 2D-Graph clustering method based on trust and similarity measures to enhance accuracy and coverage in recommender systems

Sasan H. Alizadeh, Leily Sheugh, Leily Sheugh, 2018, Inf. Sci..

Sasan H. Alizadeh, Leily Sheugh, Leily Sheugh, 2015 .

The analysis of demographics, environmental and knowledge factors affecting prospective residential PV system adoption: A study in Tehran

Sasan H. Alizadeh, Ali Bashiri, S. H. Alizadeh, 2018 .

Challenges of server consolidation in virtualized data centers and open research issues: a systematic literature review

Reza Mohamadi Bahram Abadi, S. H. Alizadeh, A. Rahmani, 2019, The Journal of Supercomputing.

Server consolidation techniques in virtualized data centers of cloud environments: A systematic literature review

Amir Masoud Rahmani, Sasan H. Alizadeh, Reza Mohamadi Bahram Abadi, 2018, Softw. Pract. Exp..

Self-adaptive architecture for virtual machines consolidation based on probabilistic model evaluation of data centers in Cloud computing

Reza Mohamadi Bahram Abadi, S. H. Alizadeh, A. Rahmani, 2018, Cluster Computing.

An extension of multinomial choice model for customer purchase behavior analysis

S. H. Alizadeh, Parinaz Norouzi, 2016, 2016 Artificial Intelligence and Robotics (IRANOPEN).

Analysis and modeling conditional mutual dependency of metrics in software defect prediction using latent variables

Sasan Hossein Alizadeh, Nima Shiri Harzevili, S. H. Alizadeh, 2021, Neurocomputing.

Multi independent latent component extension of naive Bayes classifier

Sasan Hossein Alizadeh, Nima Shiri Harzevili, Alireza Hediehloo, 2021, Knowl. Based Syst..

Markov switching component GARCH model: Stability and forecasting

S. Alizadeh, S. H. Alizadeh, S. Rezakhah, 2013, 1303.5525.

Hidden Markov Mixture Autoregressive Models: Stability and Moments

S. Alizadeh, S. H. Alizadeh, S. Rezakhah, 2011 .