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Roland Molontay
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2020 – today
- 2024
- [j14]Marcell Nagy, Roland Molontay:
Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention. Int. J. Artif. Intell. Educ. 34(2): 274-300 (2024) - [j13]László Csató, Roland Molontay, József Pintér:
Tournament schedules and incentives in a double round-robin tournament with four teams. Int. Trans. Oper. Res. 31(3): 1486-1514 (2024) - [j12]Panna Tímea Fekete, Roland Molontay, Balázs Ráth, Kitti Varga:
Color-avoiding percolation and branching processes. J. Appl. Probab. 61(3): 942-966 (2024) - [j11]Kate Barnes, Péter Juhász, Marcell Nagy, Roland Molontay:
Topicality boosts popularity: a comparative analysis of NYT articles and Reddit memes. Soc. Netw. Anal. Min. 14(1): 119 (2024) - [i12]Levente Murgás, Marcell Nagy, Kate Barnes, Roland Molontay:
Decoding Memes: A Comparative Study of Machine Learning Models for Template Identification. CoRR abs/2408.08126 (2024) - 2023
- [j10]Eniko Zakar-Polyák, Marcell Nagy, Roland Molontay:
Towards a better understanding of the characteristics of fractal networks. Appl. Netw. Sci. 8(1): 17 (2023) - [j9]Eniko Zakar-Polyák, Marcell Nagy, Roland Molontay:
Correction: Towards a better understanding of the characteristics of fractal networks. Appl. Netw. Sci. 8(1): 26 (2023) - 2022
- [j8]Joanna Alvarado-Uribe, Paola Mejía-Almada, Ana Luisa Masetto Herrera, Roland Molontay, Isabel Hilliger, Vinayak Hegde, José Enrique Montemayor Gallegos, Renato Armando Ramírez Díaz, Hector G. Ceballos:
Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education. Data 7(9): 119 (2022) - [j7]Marcell Nagy, Roland Molontay:
Network classification-based structural analysis of real networks and their model-generated counterparts. Netw. Sci. 10(2): 146-169 (2022) - [i11]Eniko Zakar-Polyák, Marcell Nagy, Roland Molontay:
Investigating the Origins of Fractality Based on Two Novel Fractal Network Models. CoRR abs/2210.15505 (2022) - [i10]Eniko Zakar-Polyák, Marcell Nagy, Roland Molontay:
Towards a Better Understanding of the Characteristics of Fractal Networks. CoRR abs/2212.03120 (2022) - 2021
- [j6]Kate Barnes, Tiernon Riesenmy, Minh Duc Trinh, Eli Lleshi, Nóra Balogh, Roland Molontay:
Dank or not? Analyzing and predicting the popularity of memes on Reddit. Appl. Netw. Sci. 6(1): 21 (2021) - [j5]Péter Tamás Kovács, Marcell Nagy, Roland Molontay:
Comparative analysis of box-covering algorithms for fractal networks. Appl. Netw. Sci. 6(1): 73 (2021) - [j4]Máté Baranyi, Roland Molontay:
Comparing the effectiveness of two remedial mathematics courses using modern regression discontinuity techniques. Interact. Learn. Environ. 29(2): 247-269 (2021) - [i9]Péter Tamás Kovács, Marcell Nagy, Roland Molontay:
Comparative Analysis of Box-Covering Algorithms for Fractal Networks. CoRR abs/2105.01939 (2021) - 2020
- [j3]Gábor Horváth, Edith Kovács, Roland Molontay, Szabolcs Nováczki:
Copula-Based Anomaly Scoring and Localization for Large-Scale, High-Dimensional Continuous Data. ACM Trans. Intell. Syst. Technol. 11(3): 26:1-26:26 (2020) - [j2]Roland Molontay, Noémi Horváth, Júlia Bergmann, Dóra Szekrényes, Mihály Szabó:
Characterizing Curriculum Prerequisite Networks by a Student Flow Approach. IEEE Trans. Learn. Technol. 13(3): 491-501 (2020) - [c7]Máté Baranyi, Marcell Nagy, Roland Molontay:
Interpretable Deep Learning for University Dropout Prediction. SIGITE 2020: 13-19 - [i8]Roland Molontay, Marcell Nagy:
Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis. CoRR abs/2001.09006 (2020) - [i7]Kate Barnes, Tiernon Riesenmy, Minh Duc Trinh, Eli Lleshi, Nóra Balogh, Roland Molontay:
Dank or Not? - Analyzing and Predicting the Popularity of Memes on Reddit. CoRR abs/2011.14326 (2020)
2010 – 2019
- 2019
- [j1]Júlia Komjáthy, Roland Molontay, Károly Simon:
Transfinite fractal dimension of trees and hierarchical scale-free graphs. J. Complex Networks 7(5): 764-791 (2019) - [c6]Roland Molontay, Marcell Nagy:
Two decades of network science: as seen through the co-authorship network of network scientists. ASONAM 2019: 578-583 - [c5]Marcell Nagy, Roland Molontay:
On the structural properties of social networks and their measurement-calibrated synthetic counterparts. ASONAM 2019: 584-588 - [c4]Roland Molontay, Kitti Varga:
On the Complexity of Color-Avoiding Site and Bond Percolation. SOFSEM 2019: 354-367 - [i6]Marcell Nagy, Roland Molontay:
On the Structural Properties of Social Networks and their Measurement-calibrated Synthetic Counterparts. CoRR abs/1908.08429 (2019) - [i5]Roland Molontay, Marcell Nagy:
Two Decades of Network Science as seen through the co-authorship network of network scientists. CoRR abs/1908.08478 (2019) - [i4]Gábor Horváth, Edith Kovács, Roland Molontay, Szabolcs Nováczki:
Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data. CoRR abs/1912.02166 (2019) - 2018
- [c3]Daniel Marton Horvath, Roland Molontay, Mihály Szabó:
Visualizing Student Flows to Track Retention and Graduation Rates. IV 2018: 338-343 - [i3]Júlia Komjáthy, Roland Molontay, Károly Simon:
Modified box dimension of trees and hierarchical scale-free graphs. CoRR abs/1808.02674 (2018) - [i2]Roland Molontay, Kitti Varga:
On the complexity of color-avoiding site and bond percolation. CoRR abs/1810.08484 (2018) - [i1]Marcell Nagy, Roland Molontay:
Data-driven Analysis of Complex Networks and their Model-generated Counterparts. CoRR abs/1810.08498 (2018) - 2017
- [c2]Illés Horváth, István Finta, Ferenc Kovács, András Mészáros, Roland Molontay, Krisztián Varga:
Markovian Queue with Garbage Collection. ASMTA 2017: 109-124 - 2016
- [c1]Attila Egri, Illés Horváth, Ferenc Kovács, Roland Molontay:
Fingerprinting and Reconstruction of Functionals of Discrete Time Markov Chains. ASMTA 2016: 140-154
Coauthor Index
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last updated on 2024-10-22 21:15 CEST by the dblp team
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