Artificial intelligence for modeling real estate price using call detail records and hybrid machine learning approach G Pinter, A Mosavi, I Felde Entropy 22 (12), 1421, 2020 | 37 | 2020 |
Evaluating the Effect of the Financial Status to the Mobility Customs G Pintér, I Felde ISPRS International Journal of Geo-Information 10 (5), 328, 2021 | 10 | 2021 |
Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study G Pintér, I Felde Information 12 (11), 468, 2021 | 8 | 2021 |
Evaluation of mobile phone signals in urban environment during a large social event G Pintér, L Nadai, G Bognár, I Felde 2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018 | 8 | 2018 |
Amenity complexity and urban locations of socio-economic mixing S Juhász, G Pintér, ÁJ Kovács, E Borza, G Mónus, L Lőrincz, B Lengyel EPJ Data Science 12 (1), 34, 2023 | 4 | 2023 |
Awakening City: Traces of the Circadian Rhythm within the Mobile Phone Network Data G Pintér, I Felde Information 13 (3), 114, 2022 | 4 | 2022 |
Activity Pattern Analysis of the Mobile Phone Network During a Large Social Event G Pintér, L Nádai, G Bognár, Z Biczó, I Felde 2019 IEEE-RIVF International Conference on Computing and Communication …, 2019 | 4 | 2019 |
Analysis of mobility patterns during a large social event G Pintér, L Nádai, I Felde 2018 IEEE 16th International Symposium on Intelligent Systems and …, 2018 | 4 | 2018 |
Commuting Analysis of the Budapest Metropolitan Area Using Mobile Network Data G Pintér, I Felde ISPRS International Journal of Geo-Information 11 (9), 466, 2022 | 2 | 2022 |
Evaluation of urban daily routines by using Mobile Phone Indicators G Pintér, I Felde 2019 IEEE 13th International Symposium on Applied Computational Intelligence …, 2019 | | 2019 |
A Magyar Tudományos Művek Tára 2.0 verziójának fejlesztése A Micsik, B Pataki, Z Tóth, P Pallinger, E Prunk-Éger, P Mátételki, ... | | 2016 |