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personal data approved: 2024. IV. 10.
Personal data
name Balázs Pintér
name of institution
doctoral school
ELTE Doctoral School of Informatics (Announcer of research topic)
the share of work in the different doctoral schools. ELTE Doctoral School of Informatics 100%
Academic title
scientific degree, title Ph.D.
year degree was obtained 2019
discipline to which degree belongs computer sciences
institution granting the degree ELTE Faculty of Informatics
Employment
2014 - Eötvös Loránd University, Budapest
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now
number of students who fulfilled course requirements
students who obtained their degrees:
  Thesis topic proposals
Research
research area Gépi tanulás a szoftverfejlesztésben
research field in which current research is conducted computer sciences
Publications
2023

Rikk Richárd, Várkonyi Teréz A., Borsi Zsolt R., Pintér Balázs, Gregorics Tibor: Generating Algorithmic Patterns from Semi-structured Input Using a Transition-Based Neural Network, LECTURE NOTES IN NETWORKS AND SYSTEMS 543: pp. 819-834.
type of document: Journal paper/Article
language: English
URL 
2023

Szalontai Balázs, Kukucska Ákos, Vadász András, Pintér Balázs, Gregorics Tibor: Localizing and Idiomatizing Nonidiomatic Python Code with Deep Learning, In: Arai, Kohei (szerk.) Intelligent Computing, Springer Nature Switzerland AG (2023) pp. 683-702.
type of document: Part of book/Proceedings Paper
language: English
URL 
2022

Szalontai Balázs, Vadász András, Borsi Zsolt Richárd, Várkonyi Teréz A., Pintér Balázs, Gregorics Tibor: Detecting and Fixing Nonidiomatic Snippets in Python Source Code with Deep Learning, In: Arai, Kohei (szerk.) Intelligent Systems and Applications, Springer Netherlands (2022) pp. 129-147.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2022

Mucsányi Bálint, Gyarmathy Bálint, Czapp Ádám, Pintér Balázs: Flexible Example-Based Program Synthesis on Tree-Structured Function Compositions, SN COMPUTER SCIENCE 3: (3) 218
type of document: Journal paper/Article
language: English
URL 
2021

Borbély Tamás, Wild Árpád János, Pintér Balázs, Gregorics Tibor: Using Machine Learning to Identify Methods Violating Immutability, In: Arai, Kohei (szerk.) Intelligent Computing, Springer Netherlands (2021) pp. 453-462.
type of document: Part of book/Proceedings Paper
language: English
URL 
2021

Gyarmathy Bálint, Mucsányi Bálint, Czapp Ádám, Szilágyi Dávid, Pintér Balázs: Flexcoder: Practical Program Synthesis with Flexible Input Lengths and Expressive Lambda Functions, In: Maria, De Marsico; Gabriella, Sanniti di Baja; Ana, Fred (szerk.) Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, SciTePress (2021) pp. 386-395.
type of document: Part of book/Proceedings Paper
language: English
URL 
2016

András Lőrincz, Zoltán Á Milacski, Balázs Pintér, Anita L Verő: Columnar Machine: Fast estimation of structured sparse codes, BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 15: pp. 19-33.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2015

Pintér B, Vörös G, Szabó Z, Lőrincz A: Wikifying novel words to mixtures of Wikipedia senses by structured sparse coding, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING 318: pp. 241-255.
type of document: Journal paper/Article
language: English
URL 
2013

Pintér B, Vörös Gy, Palotai Zs, Szabó Z, Lőrincz A: Determining Unintelligible Words from their Textual Contexts, PROCEDIA - SOCIAL AND BEHAVIORAL SCIENCES 73: pp. 101-108.
type of document: Journal paper/Konferenciaközlemény
language: English
URL 
2012

Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lőrincz: Automated Word Puzzle Generation Using Topic Models and Semantic Relatedness Measures, ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EOTVOS NOMINATAE SECTIO COMPUTATORICA 36: pp. 299-322.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 1
language: English
Number of independent citations to these publications:
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
20
number of scientific publications:
20
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
15


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )