Amir Hosein Keyhanipour

1. Advanced Interdisciplinary Applications of Deep Learning for Data Science

Rakhshani Hanieh, Abolqasemi Alireza, Keyhanipour Amir Hosein (2024).

2. Graph-based rank aggregation: a deep-learning approach

Keyhanipour Amir Hosein (2024)., International Journal of Web Information Systems, 20(7), 1-23.

3. Graph-induced rank-aggregation using information fusion operators

Keyhanipour Amir Hosein (2024)., JOURNAL OF SUPERCOMPUTING, 81(43), 1-26.

4. Learning to rank through graph-based feature fusion using fuzzy integral operators

Keyhanipour Amir Hosein (2024)., APPLIED INTELLIGENCE, 54(-), 1-19.

1. Graph-based analysis of Web spam detection benchmark datasets

رعیتی مهدیه, Keyhanipour Amir Hosein (2023)., The second conference on Cyberspace, 31 October-2 November, Qom, Iran.

2. Graph-based analysis of rank-aggregation benchmark datasets

پاک مهر فاطمه, Keyhanipour Amir Hosein (2023)., The second conference on Cyberspace, 31 October-2 November, Qom, Iran.

3. Detecting Persian spam websites using natural language processing techniques

[] [], Keyhanipour Amir Hosein (2023)., The second conference on Cyberspace, 31 October-2 November, Qom, Iran.

4. Survey on the Applications of the Graph Theory in the Information Retrieval

Pirozmand Maryam, Keyhanipour Amir Hosein, Moeini Ali (2023)., Iran Information and Communication Technology, 16(59 و60), 1-20.

5. Graph-based comparative analysis of learning to rank datasets

Keyhanipour Amir Hosein (2023)., International Journal of Data Science and Analytics, -(-).

6. Investigating effects of different processor scheduling algorithms on real-time operating systems

واحدی امیر, Keyhanipour Amir Hosein (2023)., The 6th International Conference on Global Studies in Computer, Electrical, and Mechanical Engineering, 19 January, Tehran, Iran.

1. SeaRank: relevance prediction based on click models in a reinforcement learning framework

Keyhanipour Amir Hosein, Farhad Oroumchian (2022)., Data Technologies and Applications, 56(5), 1-24.

1. Click models inspired learning to rank

Keyhanipour Amir Hosein, Farhad Oroumchian (2021)., International Journal of Web Information Systems, 17(4), 261-286.

2. Improving The Performance of BlockchainBased Recommender Systems

Bahrampour lomer Sahar, Movahedi Zahra, Keyhanipour Amir Hosein (2021)., 7th International Conference on Web Research, 19-20 May, Tehran, Iran.

1. An Entanglement-Inspired Action Selection and Knowledge Sharing Scheme for Cooperative Multi-agent Q-Learning Algorithm used in Robot Navigation

Karami Mohamad hasan, Keyhanipour Amir Hosein (2020)., 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), 29-30 October.

1. Effective Learning to Rank for the Persian Web Content

Keyhanipour Amir Hosein (2019)., Journal of Information Technology Management, 4(11), 92-109.

2. Quantum concurrent actions selection

Kiani Ghazaleh, Keyhanipour Amir Hosein (2019)., International Workshop on Quantum Computing and Quantum Optics, 30-31 October, Tabriz, Iran.

3. Using Tag Information with LSTM Model to Improve Performance of Movie Recommender Systems

Ghorbani Masoomeh, Fouladighaleh Kazim, Keyhanipour Amir Hosein (2019)., The 5th International Conference on Web Research, 24-25 April, Tehran, Iran.

4. Application of Learning to Rank on Persian Web Content

Keyhanipour Amir Hosein (2019)., 5th International Conference on Web Research, 24-25 April, Tehran, Iran.

1. Learning to Rank for the Persian Web Using the Layered Genetic Programming

Keyhanipour Amir Hosein (2018)., Iran Information and Communication Technology, 10(37 , 38), 45-70.

1. Learning to rank with click-through features in a reinforcement learning framework

Keyhanipour Amir Hosein, Moshiri Behzad, Piroozmand Maryam, Aromchiyan Farhad, Moeini Ali (2016)., International Journal of Web Information Systems, 12(4), 448-476.

1. Integration of data fusion and reinforcement learning techniques for the rank-aggregation problem

Keyhanipour Amir Hosein, Moshiri Behzad, Rahgozar Maseud, Aromchiyan Farhad, Ansari Ali Asghar (2015)., International Journal of Machine Learning and Cybernetics, 15(6), 1-15.

1. A GP-adaptive web ranking discovery framework based on combinative content and context features

Keyhanipour Amir Hosein, Piroozmand Maryam, Badee Kambiz (2009)., Journal of Informetrics, 3(1), 78-89.

1. User-based meta-search with the co-citation graph

Keyhanipour Amir Hosein, Piroozmand Maryam (2008)., IEEE International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2008), 4-6 August, Czech Republic.

1. Meta-Search Utilizing Evolutionary Recommendation: A Web Search Architecture Proposal

Dusan Husek, Keyhanipour Amir Hosein (2007)., International Workshop on Intelligent Web Based Tools (IWBT-07), in conjunction with the 19th IEEE International conference on Tools with Artificial Intelligence (ICTAI-07), 29-31 October, Greece.

2. Dynamics of Search Engines: An Introduction

Keyhanipour Amir Hosein, Moshiri Behzad, Piroozmand Maryam (2007).