Amir Keyhanipour

According to our database, Amir Keyhanipour authored at least 15 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Graph-induced rank-aggregation using information fusion operators.

Amir Hosein Keyhanipour

J. Supercomput., January, 2025

2024

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

Amir Hosein Keyhanipour

Appl. Intell., November, 2024

Graph-based comparative analysis of learning to rank datasets.

Amir Hosein Keyhanipour

Int. J. Data Sci. Anal., March, 2024

2023

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

Amir Hosein Keyhanipour, Farhad Oroumchian

Data Technol. Appl., 2023

2021

Click models inspired learning to rank.

Amir Hosein Keyhanipour, Farhad Oroumchian

Int. J. Web Inf. Syst., 2021

2016

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

Amir Hosein Keyhanipour, Behzad Moshiri, Masoud Rahgozar, Farhad Oroumchian, Ali Asghar Ansari

Int. J. Mach. Learn. Cybern., 2016

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

Amir Hosein Keyhanipour, Behzad Moshiri, Maryam Piroozmand, Farhad Oroumchian, Ali Moeini

Int. J. Web Inf. Syst., 2016

Learning to rank: new approach with the layered multi-population genetic programming on click-through features.

Amir Hosein Keyhanipour, Behzad Moshiri, Farhad Oroumchian, Maseud Rahgozar, Kambiz Badie

Genet. Program. Evolvable Mach., 2016

2015

CF-Rank: Learning to rank by classifier fusion on click-through data.

Amir Hosein Keyhanipour, Behzad Moshiri, Maseud Rahgozar

Expert Syst. Appl., 2015

2013

Designing a web spam classifier based on feature fusion in the Layered Multi-population Genetic Programming framework.

Amir Hosein Keyhanipour, Behzad Moshiri

Proceedings of the 16th International Conference on Information Fusion, 2013

2009

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

Amir Hosein Keyhanipour, Maryam Piroozmand, Kambiz Badie

J. Informetrics, 2009

2007

Aggregation of web search engines based on users' preferences in WebFusion.

Amir Keyhanipour, Behzad Moshiri, Majid Kazemian, Maryam Piroozmand, Caro Lucas

Knowl. Based Syst., 2007

User Modeling for the Result Re-Ranking in the Meta-Search Engines via Reinforcement Learning.

Amir Hosein Keyhanipour, Behzad Moshiri, Caro Lucas

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Fusing Data and Optimizing Queries for Intelligent Search.

Václav Snásel, Pavel Krömer, Suhail S. J. Owais, Dusan Húsek, Behzad Moshiri, Amir Keyhanipour

Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

2006

WebFusion: Fundamentals and Principals of a Novel Meta Search Engine.

Amir Keyhanipour, Behzad Moshiri, Maryam Piroozmand, Caro Lucas

Proceedings of the International Joint Conference on Neural Networks, 2006