Amir Hosein Keyhanipour

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 6

Top Topics

Reinforcement Learning

Exploration Exploitation Dilemma

Genetic Programming

Top Venues

Int. J. Web Inf. Syst.

Data Technol. Appl.

Int. J. Mach. Learn. Cybern.

Genet. Program. Evolvable Mach.

Publications

Amir Hosein Keyhanipour
Graph-based comparative analysis of learning to rank datasets. Int. J. Data Sci. Anal. 17 (2) (2024)
Amir Hosein Keyhanipour, Farhad Oroumchian
SeaRank: relevance prediction based on click models in a reinforcement learning framework. Data Technol. Appl. 57 (4) (2023)
Amir Hosein Keyhanipour, Farhad Oroumchian
Click models inspired learning to rank. Int. J. Web Inf. Syst. 17 (4) (2021)
Amir Hosein Keyhanipour, Behzad Moshiri, Masoud Rahgozar, Farhad Oroumchian, Ali Asghar Ansari
Integration of data fusion and reinforcement learning techniques for the rank-aggregation problem. Int. J. Mach. Learn. Cybern. 7 (6) (2016)
Amir Hosein Keyhanipour, Behzad Moshiri, Maryam Piroozmand, Farhad Oroumchian, Ali Moeini
Learning to rank with click-through features in a reinforcement learning framework. Int. J. Web Inf. Syst. 12 (4) (2016)
Amir Hosein Keyhanipour, Behzad Moshiri, Farhad Oroumchian, Maseud Rahgozar, Kambiz Badie
Learning to rank: new approach with the layered multi-population genetic programming on click-through features. Genet. Program. Evolvable Mach. 17 (3) (2016)
Amir Hosein Keyhanipour, Behzad Moshiri, Maseud Rahgozar
CF-Rank: Learning to rank by classifier fusion on click-through data. Expert Syst. Appl. 42 (22) (2015)
Amir Hosein Keyhanipour, Behzad Moshiri
Designing a web spam classifier based on feature fusion in the Layered Multi-population Genetic Programming framework. FUSION (2013)
Amir Hosein Keyhanipour, Maryam Piroozmand, Kambiz Badie
A GP-adaptive web ranking discovery framework based on combinative content and context features. J. Informetrics 3 (1) (2009)
Amir Hosein Keyhanipour, Behzad Moshiri, Caro Lucas
User Modeling for the Result Re-Ranking in the Meta-Search Engines via Reinforcement Learning. ISDA (2007)