Marcell Stippinger

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Inference of hidden common driver dynamics by anisotropic self-organizing neural networks. Neural Networks Zsigmond Benko, Marcell Stippinger, Attila Bencze, Fülöp Bazsó, András Telcs, Zoltán Somogyvári
2025	J	`jnl`	Inference of hidden common driver dynamics by anisotropic self-organizing neural networks. CoRR Zsigmond Benko, Marcell Stippinger, Zoltán Somogyvári
2024	J	`jnl`	Detecting Causality in the Frequency Domain with Cross-Mapping Coherence. CoRR Zsigmond Benko, Bálint Varga, Marcell Stippinger, Zoltán Somogyvári
2023	J	`jnl`	BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space. SoftwareX Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Gergely Hanczár, Olivér M. Törteli, Zoltán Somogyvári
2023	J	`jnl`	Feature space reduction method for ultrahigh-dimensional, multiclass data: Random forest-based multiround screening (RFMS). CoRR Gergely Hanczár, Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Olivér M. Törteli, Ágnes Chripkó, Zoltán Somogyvári
2023	J	`jnl`	Feature space reduction method for ultrahigh-dimensional, multiclass data: random forest-based multiround screening (RFMS). Mach. Learn. Sci. Technol. Gergely Hanczár, Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Olivér M. Törteli, Ágnes Chripkó, Zoltán Somogyvári
2022	J	`jnl`	BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space. CoRR Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Gergely Hanczár, Olivér M. Törteli, Zoltán Somogyvári
2022	J	`jnl`	Manifold-adaptive dimension estimation revisited. PeerJ Comput. Sci. Zsigmond Benko, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd G. Eröss, András Telcs, Zoltán Somogyvári
2021	J	`jnl`	Relaxation of Some Confusions about Confounders. Entropy Ádám Zlatniczki, Marcell Stippinger, Zsigmond Benko, Zoltán Somogyvári, András Telcs
2020	J	`jnl`	Manifold-adaptive dimension estimation revisited. CoRR Zsigmond Benko, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd Eröss, András Telcs, Zoltán Somogyvári
2017	J	`jnl`	Universality and scaling laws in interdependent networks: The healing model and the case of finite range interdependency. CoRR Marcell Stippinger, János Kertész
2013	J	`jnl`	Enhancing resilience of interdependent networks by healing. CoRR Marcell Stippinger, János Kertész