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Frederick Ayala-Gómez
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2020 – today
- 2021
- [i4]Frederick Ayala-Gómez, Ismo Horppu, Erlin Gulbenkoglu, Vesa Siivola, Balazs Pejo:
Revenue Attribution on iOS 14 using Conversion Values in F2P Games. CoRR abs/2102.08458 (2021) - [i3]Ismo Horppu, Antti Nikander, Elif Buyukcan, Jere Mäkiniemi, Amin Sorkhei, Frederick Ayala-Gómez:
Automatic Classification of Games using Support Vector Machine. CoRR abs/2105.05674 (2021)
2010 – 2019
- 2019
- [b1]Frederick Ayala-Gómez:
Context- Aware Recommendations for Groups in Location- Based Social Networks and Academic Social Networks. Eötvös Loránd University, Hungary, 2019 - [j2]Domokos Kelen, Bálint Daróczy, Frederick Ayala-Gómez, Anna Ország, András Benczúr:
Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors. Sensors 19(16): 3498 (2019) - 2018
- [j1]Frederick Ayala-Gómez, Bálint Daróczy, András A. Benczúr, Michael Mathioudakis, Aristides Gionis:
Global citation recommendation using knowledge graphs. J. Intell. Fuzzy Syst. 34(5): 3089-3100 (2018) - [c3]Frederick Ayala-Gómez, Baris Kenis, Pinar Karagoz, András Benczúr:
Top-k Context-Aware Tour Recommendations for Groups. MICAI (2) 2018: 176-193 - [c2]Bálint Daróczy, Frederick Ayala-Gómez, András Benczúr:
Infrequent Item-to-Item Recommendation via Invariant Random Fields. MICAI (1) 2018: 257-275 - 2017
- [c1]Frederick Ayala-Gómez, Bálint Daróczy, Michael Mathioudakis, András A. Benczúr, Aristides Gionis:
Where Could We Go?: Recommendations for Groups in Location-Based Social Networks. WebSci 2017: 93-102 - [i2]Sanja Scepanovic, Igor Mishkovski, Jukka Ruohonen, Frederick Ayala-Gómez, Tuomas Aura, Sami Hyrynsalmi:
Malware distributions and graph structure of the Web. CoRR abs/1707.06071 (2017) - 2016
- [i1]Bálint Daróczy, Frederick Ayala-Gómez, András A. Benczúr:
Item-to-item recommendation based on Contextual Fisher Information. CoRR abs/1611.01974 (2016)
Coauthor Index
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