Hadi Zare

National Articles

• Hadi Zare, Mohsen Ghassemi Parsa, Mahdi Ghatee, and Sasan Hosseinalizadeh. "Unsupervised Feature Selection Based on Low Dimensional Embedding and Subspace Learning." International Journal of Information and Communication Technology Research (IJICTR) 12, no. 3 (2020): 38-46.
• Soheila Molaei, Nima Ghanbari Bousejin, Hadi Zare, Mahdi Jalili, and Shirui Pan. "Learning Graph Representations With Maximal Cliques." IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1, no. 1 (2021): 1-8.
• Riazi, Rouzbeh, Shidvash Vakilipour, Bahram Tarvirdizadeh, Hadi Veisi, and Hadi Zare. "Using Statistical and Artificial Intelligence Approach to Predict the Exhaust Gas Temperature of a Micro Gas Turbine Engine." space technology and Knowledge 4, no. 2 (2016): 77-94.

International Articles

• Ghazaleh Niknam Shirvan, Soheila Molaei, Hadi Zare, David Clifton, and Shirui Pan. "Graph Representation Learning based on Deep Generative Gaussian Mixture Models." NEUROCOMPUTING 1, no. 1 (2022): .
• Hadi Zare, Mohsen Ghassemi Parsa, and Mehdi Ghatee. "Low-rank dictionary learning for unsupervised feature selection." EXPERT SYSTEMS WITH APPLICATIONS 202, no. 1 (2022): 117149.
• Sondos Bahadori, Parham Moradi, and Hadi Zare. "An improved limited random walk approach for identification of overlapping communities in complex networks." APPLIED INTELLIGENCE 1, no. 1 (2020): .
• Hadi Zare, Adel Mohammadpour, and Parham Moradi. "A random projection approach for estimation of the betweenness centrality measur." Intelligent Data Analysis 17, no. 2 (2013): 217-231.
• Ali Soltanshahi, Babak Teimourpour, Toktam Khatibi, and Hadi Zare. "GrAR: A novel framework for Graph Alignment based on Relativity concept." EXPERT SYSTEMS WITH APPLICATIONS 187, no. 1 (2022): 115908.
• Hadi Zare, Soheila Molaei, Nima Ghanbari Bousejin, and Mahdi Jalili. "Deep node clustering based on mutual information maximization." NEUROCOMPUTING 455, no. 1 (2021): 274-282.
• Sondos Bahadori, Hadi Zare, and Parham Moradi. "PODCD: Probabilistic overlapping dynamic community detection." EXPERT SYSTEMS WITH APPLICATIONS 174, no. 1 (2021): 114650.
• Soheila Molaei, Amirhossein Havvaei, Hadi Zare, and Mahdi Jalili. "Collaborative Deep Forest Learning for Recommender Systems." IEEE Access 9, no. 1 (2021): 22053-22061.
• Hadi Zare, Mahdi Hajiabadi, and Mahdi Jalili Ghazizadeh. "Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach." IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1, no. 1 (2019): .
• Mohsen Ghassemi Parsa, Hadi Zare, and Mehdi Ghatee. "Unsupervised feature selection based on adaptive similarity learning and subspace clustering." ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 95, no. 9 (2020): 103855.
• Soheila Molaei, Hadi Zare, and Hadi Veisi. "Deep learning approach on information diffusion in heterogeneous networks." KNOWLEDGE-BASED SYSTEMS 1, no. 1 (2019): 105153.
• Zare, Hadi, Mina Abd Nikooei Pour, and Parham Moradi. "Enhanced recommender system using predictive network approach." PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 520, no. 1 (2019): 322-337.
• Abpeikar, Shadi, Mehdi Ghatee, and hadi zare. "Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification." COMPUTATIONAL STATISTICS & DATA ANALYSIS 131, no. march (2018): 12-36.
• Zare, Hadi, and Mahdi Hajiabadi. "Overlapping community detection in social networks based on stochastic simulation." Journal of Computer and Robotics (JCR) 9, no. 1 (2016): 61-68.
• Zarkesh zade, Mahdi, Hadi Zare, Zainabolhoda Heshmati Rafsanjani, and Mehdi Teimouri. "A novel hybrid method for improving ambulance dispatching response time through a simulation study." Simulation Modelling Practice and Theory 60, no. 1 (2015): 170-184.
• Riazi, Rouzbeh, Mohammad Asrardel, Maziar Shafaee Roshani, Shidvash Vakilipour, Hadi Zare, and Hadi Veisi. "A Data Mining Study on Combustion Dynamicsand NOx Emission of a Swirl Stabilized Combustor with Secondary Fuel Injection." International Journal of Heavy Vehicle Systems 1, no. 1 (2016): 1.
• Zare, Hadi, and Mojtaba Niazi. "Relevant based structure learning for feature selection." Engineering Applications of Artificial Intelligence 55, no.1 (2016): 93-102.
• Bijari, Kayvan, Hadi Zare, Hadi Veisi, and Hossein Bobarshad. "Memory-enriched big bang–big crunch optimization algorithm for data clustering." Neural Computing and Applications 27, no. 8 (2016): 1-11.
• Hajiabadi, Mahdi, Hadi Zare, and Hossein Bobarshad. "IEDC: An Integrated Approach for Overlapping and Non-overlapping Community Detection." Knowledge-Based Systems 123, no. 1 (2017): 188-199.

International Conferences

• Zare, Hadi, Keyvan Bijari, and Emad Kebriaei. "Improved model-based clustering using evolutionary optimization." The 7th International Conference on Artificial Intelligence and Robotics, Qazvin, April 8-8, 2017 .
• Hadi Zare, Mohsen Ghassemi Parsa, Mehdi Ghatee, and Sasan Hosseinalizadeh. "Similarity Preserving Unsupervised Feature Selection based on Sparse Learning." 2020 10th International Symposium on Telecommunications (IST),.
• Soheila Molaei, Bahare Fatemi, Hadi Zare, and Pan Shirui. "Manifold Approximation and Projection by Maximizing Graph Information." the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), New Delhi.
• Sasan Hosseinalizadeh, Nima Shiri, Alireza Hediehloo, and Hadi Zare. "Relaxing Pairwise Conditional Dependency of NB Attributes using Hidden Variables." 2020 10th International Symposium on Telecommunications (IST),.
• Bahare Fatemi, Soheila Molaei, Hadi Zare, and Hadi Veisi. "Attributed Graph Clustering via Deep Adaptive Graph Maximization." 10th International Conference on Computer and Knowledge Engineering (ICCKE2020), Mashhad.
• Amirhossein Shirzad, Hadi Zare, and Mehdi Teimouri. "Deep Learning approach for text, image, and GIF multimodal sentiment analysis." 10th International Conference on Computer and Knowledge Engineering (ICCKE2020), Mashhad.