Peter Antal - researchr alias

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Viewing Publication 1 - 27 from 27

2024

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary InformationWouter Heyndrickx, Lewis H. Mervin, Tobias Morawietz, Noé Sturm, Lukas Friedrich, Adam Zalewski, Anastasia Pentina, Lina Humbeck, Martijn Oldenhof, Ritsuya Niwayama, Peter Schmidtke, Nikolas Fechner, Jaak Simm, Adam Arany, Nicolas Drizard, Rama Jabal, Arina Afanasyeva, Regis Loeb, Shlok Verma, Simon Harnqvist, Matthew Holmes, Balazs Pejo, Maria Telenczuk, Nicholas Holway, Arne Dieckmann, Nicola Rieke, Friederike Zumsande, Djork-Arné Clevert, Michael Krug, Christopher N. Luscombe, Darren V. S. Green, Peter Ertl, Peter Antal, David Marcus, Nicolas Do Huu, Hideyoshi Fuji, Stephen D. Pickett, Gergely Ács, Eric Boniface, Bernd Beck, Yax Sun, Arnaud Gohier, Friedrich Rippmann, Ola Engkvist, Andreas H. Göller, Yves Moreau, Mathieu N. Galtier, Ansgar Schuffenhauer, Hugo Ceulemans. jcisd, 64(7):2331-2344, 2024. [doi]

2023

Industry-Scale Orchestrated Federated Learning for Drug DiscoveryMartijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier. AAAI 2023: 15576-15584 [doi]

2019

A multi-trait evaluation of network propagation for GWAS resultsBence Bruncsics, Peter Antal. cibcb 2019: 1-6 [doi]

2018

Constructing a Quantitative Fusion Layer over the Semantic Level for Scalable InferenceAndrás Gezsi, Bence Bruncsics, Gábor Guta, Peter Antal. iwbbio 2018: 41-53 [doi]

Bayesian exploration of dependencies of laboratory tests and evaluation of test redundancyZeyneb Guenfoud, Peter Antal. pais 2018: 1-6 [doi]

2017

2016

Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft EvidencesBence Bolgár, Peter Antal. pgm 2016: 25-36 [doi]

Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous DiseasePeter Marx, András Millinghoffer, Gabriella Juhász, Peter Antal. pgm 2016: 310-320 [doi]

2014

Towards a Bayesian Decision Theoretic Analysis of Contextual Effect ModifiersGábor Hullám, Peter Antal. pgm 2014: 222-237 [doi]

MicroRNA Prioritization based on Target Profile SimilaritiesPeter Marx, Bence Bolgár, András Gezsi, Attila Gulyás-Kovács, Peter Antal. biostec 2014: 278-285 [doi]

Flow Index based Characterization of next Generation Sequencing Errors - Visualizing Pyrosequencing and Semiconductor Sequencing to Cope with Homopolymer ErrorsPeter Sarkozy, Márton Enyedi, Peter Antal. biostec 2014: 271-277 [doi]

2010

Evaluation of a Bayesian model-based approach in GA studiesGábor Hullám, Peter Antal, Csaba Szalai, András Falus. jmlr, 8:30-43, 2010. [doi]

2008

A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and InteractionPeter Antal, András Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus. jmlr, 4:74-89, 2008. [doi]

2006

The mobiDÁIK Educational PortalPeter Antal, Norbert Bátfai, Istvá Fazekas, Péter Jeszenszky. jucs, 12(9):1118-1127, 2006. [doi]

Learning Complex Bayesian Network Features for ClassificationPeter Antal, András Gezsi, Gabor Hullam, András Millinghoffer. pgm 2006: 9-16 [doi]

Literature Mining using Bayesian NetworksPeter Antal, András Millinghoffer. pgm 2006: 17-24 [doi]

2004

Using literature and data to learn Bayesian networks as clinical models of ovarian tumorsPeter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor. artmed, 30(3):257-281, 2004. [doi]

2003

Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejectionPeter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor. artmed, 29(1-2):39-60, 2003. [doi]

Evaluation of the Vector Space Representation in Text-Based Gene ClusteringPatrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor. psb 2003: 391-402 [doi]

2002

2001

Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian TumorsPeter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman. aime 2001: 177-187 [doi]

Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical KnowledgePeter Antal, Bart De Moor, Tamás Mészáros, Tadeusz P. Dobrowiecki. cbms 2001: 177-182 [doi]

2000

Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and LimitationsPeter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote. cbms 2000: 103-108 [doi]

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2024

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