Acta cybernetica című kiadvány cikkei

2019

Bartha Dénes: Reconstruction of rooted directed trees. In: Acta cybernetica, (24) 2. pp. 249-262. (2019)

Bácsi Sándor; Mezei Gergely: Towards a classification-based systematic approach to facilitate the design of domain-specific visual languages. In: Acta cybernetica, (24) 1. pp. 5-16. (2019)

Bálint Csaba; Valasek Gábor; Gergó Lajos: Operations on signed distance functions. In: Acta cybernetica, (24) 1. pp. 17-28. (2019)

Dombi József; Jónás Tamás: An elementary proof of the general Poincaré formula for λ-additive measures. In: Acta cybernetica, (24) 2. pp. 173-185. (2019)

Gelsema Tjalling: The logic of aggregated data. In: Acta cybernetica, (24) 2. pp. 211-248. (2019)

Hudoba Péter; Burcsi Péter: Multi party computation motivated by the birthday problem. In: Acta cybernetica, (24) 1. pp. 29-41. (2019)

Kalmár György; Büki Alexandra; Kékesi Gabriella; Horváth Gyöngyi; Nyúl László G.: Automating, analyzing and improving pupillometry with machine learning algorithms. In: Acta cybernetica, (24) 2. pp. 197-209. (2019)

Kertész Attila: Preface. In: Acta cybernetica, (24) 1. pp. 1-3. (2019)

Kovács Tibor; Simon Gábor; Mezei Gergely: Benchmarking graph database backends : what works well with Wikidata? In: Acta cybernetica, (24) 1. pp. 43-60. (2019)

Lukács Dániel; Tejfel Máté; Pongrácz Gergely: Keeping P4 switches fast and fault-free through automatic verification. In: Acta cybernetica, (24) 1. pp. 61-81. (2019)

Makay Géza; Pluhár András: Linear time ordering of bins using a conveyor system. In: Acta cybernetica, (24) 2. pp. 187-195. (2019)

Márkus András; Dombi József Dániel: Multi-cloud management strategies for simulating IoT applications. In: Acta cybernetica, (24) 1. pp. 83-103. (2019)

Nagy Dávid; Mihálydeák Tamás; Aszalós László: Different types of search algorithms for rough sets. In: Acta cybernetica, (24) 1. pp. 105-120. (2019)

Paróczi Zsombor: LZ based compression benchmark on PE files. In: Acta cybernetica, (24) 1. pp. 121-129. (2019)

Pengő Edit; Ságodi Zoltán: A preparation guide for Java call graph comparison : finding a match for your methods. In: Acta cybernetica, (24) 1. pp. 131-155. (2019)

Sárkány András; Olasz Mike; Csákvári Máté: Combining common sense rules and machine learning to understand object manipulation. In: Acta cybernetica, (24) 1. pp. 157-172. (2019)