András Benczúr

19 papers C 2Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalized Naive Bayes.
Pattern Recognit.
Edith Alice Kovács, Anna Ország, Daniel Pfeifer, András Benczúr
2025 J jnl
Large-Scale Data Analysis - Software Infrastructure and Application Domains - Introduction to the Special Theme.
ERCIM News
András Benczúr, Dominik Slezak
2024 J jnl
A finite-sample generalization bound for stable LPV systems.
CoRR
Dániel Rácz, Martin Gonzalez, Mihály Petreczky, András Benczúr, Bálint Daróczy
2024 J jnl
Generalized Naive Bayes.
CoRR
Edith Alice Kovács, Anna Ország, Daniel Pfeifer, András Benczúr
2023 J jnl
Constructing and sampling partite, 3-uniform hypergraphs with given degree sequence.
CoRR
Andras Hubai, Tamás Róbert Mezei, Ferenc Béres, András Benczúr, István Miklós
2022 C conf
On Extended Nested Relational Schemas Generated by Context-free Grammars.
IDEAS
András Benczúr
2022 — conf
Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective.
AI6G@WCCI
Miltiadis C. Filippou, Vasiliki Lamprousi, Jafar Mohammadi, Mattia Merluzzi, Elif Ustundag Soykan, Tamás Borsos, Nandana Rajatheva, Nuwanthika Rajapaksha, Luc Le Magoarou, Pietro Piscione, András Benczúr, Quentin Lampin, Guillaume Larue, Dani Korpi, Pietro Ducange, Alessandro Renda, Hamed Farhadi, Johan Haraldson, Leonardo Gomes Baltar, Emilio Calvanese Strinati, Panagiotis Demestichas, Emrah Tomur
2022 — conf
The Use of M2P in Business Process Improvement and Optimization.
ADBIS (Short Papers)
Meriem Kherbouche, Yossra Zghal, Bálint Molnár, András Benczúr
2021 J jnl
A Semi-automatic Semantic Consistency-Checking Method for Learning Ontology from Relational Database.
Inf.
Chuangtao Ma, Bálint Molnár, András Benczúr
2021 — conf
Tutorial on graph stream analytics.
DEBS
András Benczúr, Ferenc Béres, Domokos Kelen, Róbert Pálovics
2019 J jnl
Optimizing distributed data stream processing by tracing.
Future Gener. Comput. Syst.
Zoltan Zvara, Péter G. N. Szabó, Barnabás Balázs, András Benczúr
2019 J jnl
Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors.
Sensors
Domokos Kelen, Bálint Daróczy, Frederick Ayala-Gómez, Anna Ország, András Benczúr
2019 J jnl
Tangent Space Separability in Feedforward Neural Networks.
CoRR
Bálint Daróczy, Rita Aleksziev, András Benczúr
2018 C ed.
Advances in Databases and Information Systems - 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2-5, 2018, Proceedings
ADBIS
András Benczúr, Bernhard Thalheim, Tomás Horváth
2018 — conf
Infrequent Item-to-Item Recommendation via Invariant Random Fields.
MICAI (1)
Bálint Daróczy, Frederick Ayala-Gómez, András Benczúr
2018 — ed.
New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceedings
ADBIS (Short Papers and Workshops)
András Benczúr, Bernhard Thalheim, Tomás Horváth, Silvia Chiusano, Tania Cerquitelli, Csaba István Sidló, Peter Z. Revesz
2018 — conf
On the Notion of Information - Info-sphere, the World of Formations.
CogInfoCom
András Benczúr, Bálint Molnár
2018 — conf
Top-k Context-Aware Tour Recommendations for Groups.
MICAI (2)
Frederick Ayala-Gómez, Baris Kenis, Pinar Karagoz, András Benczúr
2015 — conf
Document Centric Modeling of Information Systems.
CENTERIS/ProjMAN/HCist
Bálint Molnár, András Benczúr