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Amir Keyhanipour
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2020 – today
- 2025
- [j12]Amir Hosein Keyhanipour:
Graph-based rank aggregation: a deep-learning approach. Int. J. Web Inf. Syst. 21(1): 54-76 (2025) - [j11]Amir Hosein Keyhanipour:
Graph-induced rank-aggregation using information fusion operators. J. Supercomput. 81(1): 43 (2025) - 2024
- [j10]Amir Hosein Keyhanipour
:
Learning to rank through graph-based feature fusion using fuzzy integral operators. Appl. Intell. 54(22): 11914-11932 (2024) - [j9]Amir Hosein Keyhanipour:
Graph-based comparative analysis of learning to rank datasets. Int. J. Data Sci. Anal. 17(2): 165-187 (2024) - 2023
- [j8]Amir Hosein Keyhanipour
SeaRank: relevance prediction based on click models in a reinforcement learning framework. Data Technol. Appl. 57(4): 465-488 (2023) - 2021
- [j7]Amir Hosein Keyhanipour
Click models inspired learning to rank. Int. J. Web Inf. Syst. 17(4): 261-286 (2021)
2010 – 2019
- 2016
- [j6]Amir Hosein Keyhanipour
Learning to rank: new approach with the layered multi-population genetic programming on click-through features. Genet. Program. Evolvable Mach. 17(3): 203-230 (2016) - [j5]Amir Hosein Keyhanipour
Learning to rank with click-through features in a reinforcement learning framework. Int. J. Web Inf. Syst. 12(4): 448-476 (2016) - [j4]Amir Hosein Keyhanipour
Integration of data fusion and reinforcement learning techniques for the rank-aggregation problem. Int. J. Mach. Learn. Cybern. 7(6): 1131-1145 (2016) - 2015
- [j3]Amir Hosein Keyhanipour
CF-Rank: Learning to rank by classifier fusion on click-through data. Expert Syst. Appl. 42(22): 8597-8608 (2015) - 2013
- [c4]Amir Hosein Keyhanipour, Behzad Moshiri:
Designing a web spam classifier based on feature fusion in the Layered Multi-population Genetic Programming framework. FUSION 2013: 53-60
2000 – 2009
- 2009
- [j2]Amir Hosein Keyhanipour
A GP-adaptive web ranking discovery framework based on combinative content and context features. J. Informetrics 3(1): 78-89 (2009) - 2007
- [j1]Amir Keyhanipour
Aggregation of web search engines based on users' preferences in WebFusion. Knowl. Based Syst. 20(4): 321-328 (2007) - [c3]Václav Snásel, Pavel Krömer
Fusing Data and Optimizing Queries for Intelligent Search. DEXA Workshops 2007: 123-127 - [c2]Amir Hosein Keyhanipour
User Modeling for the Result Re-Ranking in the Meta-Search Engines via Reinforcement Learning. ISDA 2007: 387-394 - 2006
- [c1]Amir Keyhanipour, Behzad Moshiri
WebFusion: Fundamentals and Principals of a Novel Meta Search Engine. IJCNN 2006: 4126-4131
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