On model selection for dense stochastic block models von Norros, Ilkka, Reittu, Hannu, Bazsó, Fülöp

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Model validation of a hexapod walker robot von Kecskés, István, Burkus, Ervin, Bazsó, Fülöp, Odry, Péter

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Regular Decomposition of Large Graphs: Foundation of a Sampling Approach to Stochastic Block Model Fitting von Reittu, Hannu, Norros, Ilkka, Räty, Tomi, Bolla, Marianna, Bazsó, Fülöp

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FRONTO-TEMPORAL INTERACTIONS IN ASSOCIATIVE RECALL EXPLORED BY MULTIELECTRODE RECORDINGS von Varga, Bálint, Stippinger, Marcell, Bazsó, Fülöp, Bencze, Attila, Somogyvári, Zoltán, Négyessy, László, Tanigawa, Hisashi, Kiss, Tamás

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Investigation of expert rule bases, logistic regression, and non―linear machine learning techniques for predicting response to antiretroviral treatment von PROSPERI, Mattia Cf, ALTMANN, Andre, VANDAMME, Anne-Mieke, VERCAUTEREN, Jurgen, ZAZZI, Maurizio, ROSEN-ZVI, Michal, AHARONI, Ehud, BORGULYA, Gabor, BAZSO, Fulop, SÖNNERBORG, Anders, SCHÜLTER, Eugen, STRUCK, Daniel, ULIVI, Giovanni

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Convergence and divergence are mostly reciprocated properties of the connections in the network of cortical areas von Ngyessy, Lszl, Nepusz, Tams, Zalnyi, Lszl, Bazs, Flp

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Algebras of graph functions von Bazsó, Fülöp

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Statistical and stochastical properties of inter spike interval time series von Fulop, Bazso

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Prediction of the main cortical areas and connections involved in the tactile function of the visual cortex by network analysis von Négyessy, László, Nepusz, Tamás, Kocsis, László, Bazsó, Fülöp

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Regular Decomposition of Multivariate Time Series and Other Matrices von Reittu, Hannu, Bazsó, Fülöp, Weiss, Robert

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Signal Transduction Pathways of TNAP: Molecular Network Analyses von Négyessy, László, Györffy, Balázs, Hanics, János, Bányai, Mihály, Fonta, Caroline, Bazsó, Fülöp

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Channel noise in Hodgkin–Huxley model neurons von Bazsó, Fülöp, Zalányi, László, Csárdi, Gábor

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Maximum Likelihood Methods for Data Mining in Datasets Represented by Graphs von Nepusz, Tamas, Bazso, Fulop

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Fuzzy communities and the concept of bridgeness in complex networks von Nepusz, Tamás, Petróczi, Andrea, Négyessy, László, Fülöp Bazsó

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Boolean–Lie algebras and the Leibniz rule von BAZSO, Fülöp, LABOS, Elemér

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Likelihood-based Clustering of Directed Graphs von Nepusz, T., Bazso, F.

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Regular Decomposition: an information and graph theoretic approach to stochastic block models von Reittu, Hannu, Bazsó, Fülöp, Norros, Ilkka

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The effect of synaptic depression on stochastic resonance von Zalányi, László, Bazsó, Fülöp, Érdi, Péter

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Optimization of the hexapod robot walking by genetic algorithm von Pap, Z, Kecskés, I, Burkus, E, Bazsó, F, Odry, P

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Reconstructing Cortical Networks: Case of Directed Graphs with High Level of Reciprocity von Nepusz, Tamás, Négyessy, László, Tusnády, Gábor, Bazsó, Fülöp

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