Special Issue of the 13th Conference of PhD Students in Computer Science

• Preface

  Judit Jász

  295

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• Single and Combined Algorithms for Open Set Classification on Image Datasets

  Modafar Al-Shouha, Gábor Szűcs

  297-322

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• Towards a Block-Level ML-Based Python Vulnerability Detection Tool

  Amirreza Bagheri, Péter Hegedűs

  323-371

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• A Formalisation of Core Erlang, a Concurrent Actor Language

  Péter Bereczky, Dániel Horpácsi, Simon Thompson

  373-404

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• Identifying Concurrent Behaviours in Erlang Legacy Systems

  Zsófia Erdei, Melinda Tóth, István Bozó

  405-429

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• Using Version Control Information to Visualize Developers' Knowledge

  Anett Fekete, Zoltán Porkoláb

  431-454

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• Ontology Supported Domain Knowledge Module for E-Tutoring System

  Hussein Ali Ahmed Ghanim, László Kovács

  455-474

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• Comparing Structural Constraints for Accelerated Branch and Bound Solver of Process Network Synthesis Problems

  Emília Heinc, Balázs Bánhelyi

  475-499

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• Standardized Telemedicine Software Development Kit with Hybrid Cloud Support

  Zoltán Richárd Jánki, Vilmos Bilicki

  501-528

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• Quadratic Displacement Maps for Heightmap Rendering

  Mátyás Kiglics, Gábor Valasek, Csaba Bálint, Róbert Bán

  529-542

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• The Influence of the Nonfunctional Requirements on the Data Model

  Grácián Kokrehel, Vilmos Bilicki

  543-562

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• Integer Programming Based Optimization of Power Consumption for Data Center Networks

  Gergely Kovásznai, Mohammed Nsaif

  563-579

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• Extracting Line Parameters of Woven Wire Mesh in Images under Directional Illumination

  László Körmöczi, László G. Nyúl

  581-591

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• Overlaying Control Flow Graphs on P4 Syntax Trees with Gremlin

  Dániel Lukács, Máté Tejfel

  593-619

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• Corner-Based Implicit Patches

  Ágoston Sipos

  621-636

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• Patient Flow Analysis with a Custom Simulation Engine

  Zoltán Szabó, Emőke Adrienn Hompoth, Vilmos Bilicki

  637-669

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• Towards Abstraction-based Probabilistic Program Analysis

  Dániel Szekeres, István Majzik

  671-711

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• Uncovering Hidden Dependencies: Constructing Intelligible Path Witnesses using Dataflow Analyses

  Kristóf Umann, Gábor Horváth, Zoltán Porkoláb

  713-747

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