On local structure of 1-planar graphs of minimum degree 5 and girth 4. - Dávid Hudák; Tomás Madaras (Discuss. Math. Graph Theory, 2009)

On local properties of 1-planar graphs with high minimum degree. - Dávid Hudák; Tomás Madaras (Ars Math. Contemp., 2011)

1-planarity of complete multipartite graphs. - Július Czap; Dávid Hudák (Discret. Appl. Math., 2012)

Acyclic edge coloring of planar graphs with Δ colors. - Dávid Hudák; Frantisek Kardos; Borut Luzar; Roman Soták; Riste Skrekovski (Discret. Appl. Math., 2012)

On properties of maximal 1-planar graphs. - Dávid Hudák; Tomás Madaras; Yusuke Suzuki (Discuss. Math. Graph Theory, 2012)

Light edges in 1-planar graphs with prescribed minimum degree. - Dávid Hudák; Peter Sugerek (Discuss. Math. Graph Theory, 2012)

On Drawings and Decompositions of 1-Planar Graphs. - Július Czap; Dávid Hudák (Electron. J. Comb., 2013)

An upper bound on the sum of powers of the degrees of simple 1-planar graphs. - Július Czap; Jochen Harant; Dávid Hudák (Discret. Appl. Math., 2014)

Strong edge-coloring of planar graphs. - Dávid Hudák; Borut Luzar; Roman Soták; Riste Skrekovski (Discret. Math., 2014)

A Two-Phase Multilabel ECG Classification Using One-Dimensional Convolutional Neural Network and Modified Labels. - L'ubomír Antoni; Erik Bruoth; Peter Bugata; Dávid Gajdos; Simon Horvát; Dávid Hudák; Vladimíra Kmecová; Richard Stana; Monika Stanková; Alexander Szabari; Gabriela Vozáriková (CinC, 2021)

Cordelia: An Application for Automatic ECG Diagnostics. - Lubomir Antoni; Erik Bruoth; Peter Bugata; Peter Bugata Jr.; Dávid Gajdos; Simon Horvát; Dávid Hudák; Vladimíra Kmecová; Richard Stana; Monika Stanková; Alexander Szabari; Gabriela Vozáriková (AIME, 2022)

Murmur Identification Using Supervised Contrastive Learning. - L'ubomír Antoni; Erik Bruoth; Peter Bugata Jr.; Peter Bugata; Dávid Gajdos; Dávid Hudák; Vladimíra Kmecová; Monika Stanková; Alexander Szabari; Gabriela Vozáriková (CinC, 2022)

End-to-end Integration of Scientific Workflows on Distributed Cyberinfrastructures: Challenges and Lessons Learned with an Earth Science Application. - Camila Roa; Mats Rynge; Paula Olaya; Karan Vahi; Todd Miller; James Griffioen; Shelley Knuth; John Goodhue; Dávid Hudák; Alana Romanella; Ricardo M. Llamas; Rodrigo Vargas; et al. (UCC, 2023)

ACCESS Pegasus: Bringing Workflows to the ACCESS Masses. - Mats Rynge; Karan Vahi; Mohammad Zaiyan Alam; Ewa Deelman; Todd Miller; Miron Livny; Shelley Knuth; James Griffioen; John Goodhue; Dávid Hudák; Julie Ma; Andrew Pasquale; et al. (PEARC, 2023)

Open OnDemand: Connecting Computing Power With Powerful Minds. - Alan Chalker; Robert L. DeLeon; Dávid Hudák; Douglas Johnson; Julie Ma; Jeff Ohrstrom; Hazel Randquist; Travis Ravert; Joseph Patrick White; Matt Walton; Emily Moffat Sadeghi; Ronald Lee Liming (PEARC, 2024)

Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs. - Farrukh A. Chishtie; Dominique Brunet; Rachel H. White; Daniel Michelson; Jing Jiang; Vicky Lucas; Emily Ruboonga; Sayana Imaash; Melissa Westland; Timothy Chui; Rana Usman Ali; Mujtaba Hassan; et al. (CoRR, 2024)