Bálint Daróczy

48 papers A 1B 1Journal 22Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Finite-Sample Bound for Identifying Partially Observed Linear Switched Systems From a Single Trajectory. IEEE Control. Syst. Lett. Dániel Rácz, Mihály Petreczky, Bálint Daróczy
2025	J	`jnl`	A finite-sample bound for identifying partially observed linear switched systems from a single trajectory. CoRR Dániel Rácz, Mihály Petreczky, Bálint Daróczy
2025	J	`jnl`	Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints. Trans. Mach. Learn. Res. Dániel Rácz, Mihály Petreczky, Bálint Daróczy
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`	Length independent generalization bounds for deep SSM architectures with stability constraints. CoRR Dániel Rácz, Mihály Petreczky, Bálint Daróczy
2024	J	`jnl`	Smart medical report: efficient detection of common and rare diseases on common blood tests. Frontiers Digit. Health Ákos Németh, Gábor Tóth, Péter Fülöp, György Paragh, Bíborka Nádró, Zsolt Karányi, György Paragh Jr., Zsolt Horváth, Zsolt Csernák, Erzsébet Pintér, Dániel Sándor, Gábor Bagyó, István Édes, János Kappelmayer, Mariann Harangi, Bálint Daróczy
2023	J	`jnl`	Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle. CoRR Dániel Rácz, Mihály Petreczky, András Csertán, Bálint Daróczy
2023	J	`jnl`	PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs. CoRR Dániel Rácz, Mihály Petreczky, Bálint Daróczy
2021	B	`conf`	Gradient representations in ReLU networks as similarity functions. ESANN Bálint Daróczy, Dániel Rácz
2021	J	`jnl`	Gradient representations in ReLU networks as similarity functions. CoRR Dániel Rácz, Bálint Daróczy
2021	J	`jnl`	Quantum Inspired Adaptive Boosting. CoRR Bálint Daróczy, Katalin Friedl, László Kabódi, Attila Pereszlényi, Dániel Szabó
2020	—	`conf`	SZTAKI @ ImageCLEFmed 2020 Tuberculosis Task. CLEF (Working Notes) Bence Lestyan, András A. Benczúr, Bálint Daróczy
2020	J	`jnl`	Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks. CoRR Bálint Daróczy
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	—	`conf`	And Now for Something Completely Different: Visual Novelty in an Online Network of Designers. WebSci Johannes Wachs, Bálint Daróczy, Aniko Hannak, Katinka Páll, Christoph Riedl
2018	J	`jnl`	And Now for Something Completely Different: Visual Novelty in an Online Network of Designers. CoRR Johannes Wachs, Bálint Daróczy, Anikó Hannák, Katinka Páll, Christoph Riedl
2018	J	`jnl`	Expressive power of outer product manifolds on feed-forward neural networks. CoRR Bálint Daróczy, Rita Aleksziev, András A. Benczúr
2018	J	`jnl`	Global citation recommendation using knowledge graphs. J. Intell. Fuzzy Syst. Frederick Ayala-Gómez, Bálint Daróczy, András A. Benczúr, Michael Mathioudakis, Aristides Gionis
2018	—	`conf`	Infrequent Item-to-Item Recommendation via Invariant Random Fields. MICAI (1) Bálint Daróczy, Frederick Ayala-Gómez, András Benczúr
2017	J	`jnl`	Real Flight Demonstration of Monocular Image-Based Aircraft Sense and Avoid. ERCIM News Péter Bauer, Antal Hiba, Bálint Daróczy, Márk Melczer, Bálint Vanek
2017	—	`conf`	Where Could We Go?: Recommendations for Groups in Location-Based Social Networks. WebSci Frederick Ayala-Gómez, Bálint Daróczy, Michael Mathioudakis, András A. Benczúr, Aristides Gionis
2017	A	`conf`	Why Do Men Get More Attention? Exploring Factors Behind Success in An Online Design Community. ICWSM Johannes Wachs, Aniko Hannak, András Vörös, Bálint Daróczy
2017	J	`jnl`	Why Do Men Get More Attention? Exploring Factors Behind Success in an Online Design Community. CoRR Johannes Wachs, Anikó Hannák, András Vörös, Bálint Daróczy
2016	J	`jnl`	Item-to-item recommendation based on Contextual Fisher Information. CoRR Bálint Daróczy, Frederick Ayala-Gómez, András A. Benczúr
2015	—	`conf`	Machine Learning Based Session Drop Prediction in LTE Networks and Its SON Aspects. VTC Spring Bálint Daróczy, Péter Vaderna, András A. Benczúr
2015	—	`conf`	Predicting User-specific Temporal Retweet Count Based on Network and Content Information. INRA@RecSys Bálint Daróczy, Róbert Pálovics, Vilmos Wieszner, Richárd Farkas, András A. Benczúr
2015	J	`jnl`	Statistical analysis of NOMAO customer votes for spots of France. CoRR Róbert Pálovics, Bálint Daróczy, András A. Benczúr, Júlia Pap, Leonardo Ermann, Samuel Phan, Alexei Chepelianskii, Dima Shepelyansky
2015	—	`conf`	Text Classification Kernels for Quality Prediction over the C3 Data Set. WWW (Companion Volume) Bálint Daróczy, Dávid Siklósi, Róbert Pálovics, András A. Benczúr
2014	J	`jnl`	The Classification Power of Web Features. Internet Math. Miklós Erdélyi, András A. Benczúr, Bálint Daróczy, András Garzó, Tamás Kiss, Dávid Siklósi
2013	—	`conf`	Cross-lingual web spam classification. WWW (Companion Volume) András Garzó, Bálint Daróczy, Tamás Kiss, Dávid Siklósi, András A. Benczúr
2013	—	`conf`	Temporal prediction of retweet count. CogInfoCom Róbert Pálovics, Bálint Daróczy, András A. Benczúr
2012	—	`conf`	Content-based trust and bias classification via biclustering. WebQuality@WWW Dávid Siklósi, Bálint Daróczy, András A. Benczúr
2012	—	`conf`	DMS-SZTAKI @ ImageCLEF 2012 Photo Annotation. CLEF (Online Working Notes/Labs/Workshop) Bálint Daróczy, Dávid Siklósi, András A. Benczúr
2011	—	`conf`	SZTAKI @ ImageCLEF 2011. CLEF (Notebook Papers/Labs/Workshop) Bálint Daróczy, Róbert Pethes, András A. Benczúr
2010	—	`conf`	JUMAS @ TRECVID 2010. TRECVID Bálint Daróczy, Dávid Márk Nemeskey, Róbert Pethes, István Petrás, András A. Benczúr, Daniele Falavigna, Roberto Gretter
2010	—	`conf`	SZTAKI@Imageclef2010. CLEF (Notebook Papers/LABs/Workshops) Bálint Daróczy, István Petrás, András A. Benczúr, Dávid Márk Nemeskey, Róbert Pethes
2009	—	`conf`	Interest Point and Segmentation-Based Photo Annotation. CLEF (2) Bálint Daróczy, István Petrás, András A. Benczúr, Zsolt Fekete, Dávid Márk Nemeskey, Dávid Siklósi, Zsuzsa Weiner
2009	—	`conf`	SZTAKI @ ImageCLEF 2009. CLEF (Working Notes) Bálint Daróczy, István Petrás, András A. Benczúr, Zsolt Fekete, Dávid Márk Nemeskey, Dávid Siklósi, Zsuzsa Weiner
2009	—	`conf`	SZTAKI @ TRECVID 2009. TRECVID Bálint Daróczy, Dávid Nemeskey, István Petrás, András A. Benczúr, Tamás Kiss
2008	—	`conf`	Increasing Cluster Recall of Cross-modal Image Retrieval. CLEF (Working Notes) Simon Rácz, Bálint Daróczy, Dávid Siklósi, Attila Pereszlényi, Mátyás Brendel, András A. Benczúr
2008	—	`conf`	SZTAKI @ ImageCLEF 2008: Visual Concept Detection. CLEF (Working Notes) Bálint Daróczy, Zsolt Fekete, Mátyás Brendel
2008	—	`conf`	SZTAKI @ ImageCLEF 2008: Visual Feature Analysis in Segmented Images. CLEF Bálint Daróczy, Zsolt Fekete, Mátyás Brendel, Simon Rácz, András A. Benczúr, Dávid Siklósi, Attila Pereszlényi
2007	—	`conf`	Cross-modal Retrieval by Text and Image Feature Biclustering. CLEF (Working Notes) András A. Benczúr, István Bíró, Mátyás Brendel, Károly Csalogány, Bálint Daróczy, Dávid Siklósi
2007	—	`conf`	Multimodal Retrieval by Text-Segment Biclustering. CLEF András A. Benczúr, István Bíró, Mátyás Brendel, Károly Csalogány, Bálint Daróczy, Dávid Siklósi
2007	—	`conf`	Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu
2007	—	`conf`	Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF (Working Notes) Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu
1992	J	`jnl`	Optimal measuring signal generation. J. Glob. Optim. Tibor Csendes, Bálint Daróczy, Zoltán Hantos