Amir Hosein Keyhanipour

15 papers C 2Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Graph-augmented web spam detection using evidential reasoning.
J. Supercomput.
Amir Hosein Keyhanipour
2025 J jnl
Graph-based rank aggregation: a deep-learning approach.
Int. J. Web Inf. Syst.
Amir Hosein Keyhanipour
2025 J jnl
Graph-induced rank-aggregation using information fusion operators.
J. Supercomput.
Amir Hosein Keyhanipour
2025 J jnl
Uncertainty handling in learning to rank: a systematic review.
Int. J. Data Sci. Anal.
Amir Hosein Keyhanipour
2024 J jnl
Graph-based comparative analysis of learning to rank datasets.
Int. J. Data Sci. Anal.
Amir Hosein Keyhanipour
2024 J jnl
Learning to rank through graph-based feature fusion using fuzzy integral operators.
Appl. Intell.
Amir Hosein Keyhanipour
2023 J jnl
SeaRank: relevance prediction based on click models in a reinforcement learning framework.
Data Technol. Appl.
Amir Hosein Keyhanipour, Farhad Oroumchian
2021 J jnl
Click models inspired learning to rank.
Int. J. Web Inf. Syst.
Amir Hosein Keyhanipour, Farhad Oroumchian
2016 J jnl
Integration of data fusion and reinforcement learning techniques for the rank-aggregation problem.
Int. J. Mach. Learn. Cybern.
Amir Hosein Keyhanipour, Behzad Moshiri, Masoud Rahgozar, Farhad Oroumchian, Ali Asghar Ansari
2016 J jnl
Learning to rank with click-through features in a reinforcement learning framework.
Int. J. Web Inf. Syst.
Amir Hosein Keyhanipour, Behzad Moshiri, Maryam Piroozmand, Farhad Oroumchian, Ali Moeini
2016 J jnl
Learning to rank: new approach with the layered multi-population genetic programming on click-through features.
Genet. Program. Evolvable Mach.
Amir Hosein Keyhanipour, Behzad Moshiri, Farhad Oroumchian, Maseud Rahgozar, Kambiz Badie
2015 J jnl
CF-Rank: Learning to rank by classifier fusion on click-through data.
Expert Syst. Appl.
Amir Hosein Keyhanipour, Behzad Moshiri, Maseud Rahgozar
2013 C conf
Designing a web spam classifier based on feature fusion in the Layered Multi-population Genetic Programming framework.
FUSION
Amir Hosein Keyhanipour, Behzad Moshiri
2009 J jnl
A GP-adaptive web ranking discovery framework based on combinative content and context features.
J. Informetrics
Amir Hosein Keyhanipour, Maryam Piroozmand, Kambiz Badie
2007 C conf
User Modeling for the Result Re-Ranking in the Meta-Search Engines via Reinforcement Learning.
ISDA
Amir Hosein Keyhanipour, Behzad Moshiri, Caro Lucas