(CS)2 -  The 13th Conference of PhD Students in Computer Science

Szeged, Hungary, June 29 - July 1, 2022


The online volume of short papers can be downloaded here: proceedings, its Table of Contens:

Plenary talks1
András BenczúrResearch on Networks in the AI National Lab Hungary1
Gergely RöstThe COVID-19 Modelling and Epidemiology Task Force in Hungary2
Herbert EdelsbrunnerA window to the persistence of linear lists or maps3
Aadil Gani Ganie and Dr Samad DadvandipourMedia Trail: Rise of Contradictive Reaction in India during COVID-194
Ádám Vécsi and Attila PethőScalix mix network8
Ágoston SiposCorner-based implicit patches12
Amirreza Bagheri and Péter HegedűsTowards a Block-Level ML-Based Python Vulnerability Detection Tool17
András Földvári and András PatariczaQualitative Reasoning in Dependability Analysis21
András MárkusTowards Modelling IoT Workflows25
Anett Fekete and Zoltán PorkolábUsing Version Control Information to Visualize Developers’ Knowledge30
Attila FicsorSemantic Robustness Testing for Vision-Based Machine Learning Components of Autonomous Cyber-Physical Systems35
Pintér Balázs and Attila FicsorToolchain for the Construction of Realistic Simulated Urban Environments40
Csaba Bálint, Gábor Valasek and Lajos GergóOperations on Signed Distance Function Estimates45
Dániel Lukács and Máté TejfelOverlaying control flow graphs on P4 syntax trees with Gremlin50
Dániel Szekeres and István MajzikTowards Abstraction-based Probabilistic Program Analysis55
Dániel Zombori, Tamás Szabó, János Horváth, Attila Szász, Tibor Csendes and Balázs BánhelyiTowards an effective and fast adversarial free neural network training with verified methods59
Dominik Hirling and Peter HorvathCell Representation and Segmentation with Shape Priors62
Emília Heinc and Balázs BánhelyiComparing structural constraints for accelerated branch and bound solver of process network synthesis problems67
Eszter Julianna Csókás and Tamás VinkóOn the exact solutions of time-aware influence maximization72
Gergely Kovásznai and Mohammed NsaifInteger Programming Based Optimization of Power Consumption for Data Center Networks76
Gergő Bendegúz Békési, Péter Ekler, Ágnes Urbin and Szilárd SzőkeMeasurement Automation of MOSFETs and Other Electronical Components Using Artificial Intelligence, Neural Networks and Computer Vision81
Ghanim Hussein Ali Ahmed and László KovácsOntology Supported Domain Knowledge Module For E-Tutoring System86
Grácián Kokrehel and Vilmos BilickiThe data path: in depth analysis94
Gyöngyvér VassOptimizing the influence maximization problem with covering models including costs and required seed-distance98
Imre Gera, András London and András PluhárEdge-based detection of nested communities102
Itilekha Podder, Murad Huseynli, Michael Chima Ogbuachi, Tamas Fischl and Udo BubTowards Knowledge Discovery for Predictive Maintenance in MEMS Inertial Sensors using Artificial Intelligence and Design Science Research107
Kristóf Umann, Gábor Horváth and Zoltán PorkolábUncovering Hidden Dependencies: Constructing Intelligible Path Witnesses using Dataflow Analyses112
László Körmöczi and László G. NyúlDetecting Corrugated Wire Mesh in Images116
Mátyás Kiglics, Gábor Valasek, Csaba Bálint and Róbert BánQuadratic Displacement Maps for Heightmap Rendering121
Mihály GencsiMetaheuristic algorithms for related parallel machines scheduling problem with availability and periodical unavailability constraints125
Modafar Al-ShouhaTwo algorithms for not-in-class classification task on image datasets130
Naranjo Jose, Stoffova Veronika and Zhu ChangShengAdvances in Knowledge Tracing: A brief overview in deep learning techniques135
Péter Bereczky and Dániel HorpácsiA Formalisation of Concurrent Core Erlang141
Péter Kardos and Richárd FarkasRDF2VEC in the Knowledge Graph matching task145
Peter Lenkefi and Gergely MezeiComparing LR table construction methods in the GLR algorithm150
Péter SohaOn the usability of program slicing tools in Java154
Réka Kovács and Zoltán PorkolábFinding string view related memory errors in C++159
Richárd KissUser Based Collaborative Filtering for Product Recommendation Using Implicit Observations164
Richárd Szalay and Zoltán PorkolábSemi-Automatic Modularisation of C ++ Software Projects169
Róbert Bán and Gábor ValasekHigher dimensional Hermite interpolation of gradient data174
Sajad Rezaei, Elham Rezaei and Mohammad Amin RezaeiA New Semantic Segmentation Technique Using Deep Learning Networks Combination179
Tekla Tóth and Levente HajderRegistration of 3D trajectories182
Yue Sun, Sándor Brockhauser and Péter HegedűsSelf-Supervised Relational Reasoning framework for Spectra Classification186
Walelign Tewabe Sewunetie and László KovácsRule-Based Automatic Question Generation Using Dependency Parsing191
Zoltán Richárd Jánki and Vilmos BilickiDomain Specific Semantic Data Model Integration196
Zoltán Szabó, Emőke Adrienn Hompoth and Vilmos BilickiEvaluation of a Custom Patient Flow Modeling Framework for Hospital Simulation201
Zsófia Erdei and István BozóIdentifying concurrent behaviours in Erlang legacy systems206
List of Authors211

Last change: 2022-06-30