Peter Antal - RankMe

30 papers A* 2B 5C 2Misc 1Journal 9Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Circuits, Features, and Heuristics in Molecular Transformers. CoRR Kristof Varadi, Márk Marosi, Peter Antal
2024	J	`jnl`	MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. Wouter 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
2023	A*	`conf`	Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI Martijn 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
2022	J	`jnl`	Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning. CoRR Peter Antal, Tamás Péni, Roland Tóth
2022	J	`jnl`	Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR Martijn 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, 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, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier
2019	C	`conf`	A multi-trait evaluation of network propagation for GWAS results. CIBCB Bence Bruncsics, Peter Antal
2018	—	`conf`	Bayesian exploration of dependencies of laboratory tests and evaluation of test redundancy. PAIS Zeyneb Guenfoud, Peter Antal
2018	—	`conf`	Constructing a Quantitative Fusion Layer over the Semantic Level for Scalable Inference. IWBBIO (1) András Gézsi, Bence Bruncsics, Gábor Guta, Peter Antal
2017	J	`jnl`	Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depression. PLoS Comput. Biol. Peter Marx, Peter Antal, Bence Bolgár, Gyorgy Bagdy, Bill Deakin, Gabriella Juhász
2017	C	`conf`	Structural and parametric uncertainties in full Bayesian and graphical lasso based approaches: Beyond edge weights in psychological networks. CIBCB Gábor Hullám, Gabriella Juhász, Bill Deakin, Peter Antal
2017	J	`jnl`	VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization. BMC Bioinform. Bence Bolgár, Peter Antal
2016	—	`conf`	Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences. Probabilistic Graphical Models Bence Bolgár, Peter Antal
2016	—	`conf`	Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease. Probabilistic Graphical Models Peter Marx, András Millinghoffer, Gabriella Juhász, Peter Antal
2014	—	`conf`	Flow Index based Characterization of next Generation Sequencing Errors - Visualizing Pyrosequencing and Semiconductor Sequencing to Cope with Homopolymer Errors. BIOINFORMATICS Péter Sárközy, Márton Enyedi, Peter Antal
2014	—	`conf`	MicroRNA Prioritization based on Target Profile Similarities. BIOINFORMATICS Peter Marx, Bence Bolgár, András Gézsi, Attila Gulyás-Kovács, Peter Antal
2014	—	`conf`	Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers. Probabilistic Graphical Models Gábor Hullám, Peter Antal
2010	—	`conf`	Evaluation of a Bayesian model-based approach in GA studies. MLSB Gábor Hullám, Peter Antal, Csaba Szalai, András Falus
2008	—	`conf`	A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction. FSDM Peter Antal, András Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus
2006	—	`conf`	Learning Complex Bayesian Network Features for Classification. Probabilistic Graphical Models Peter Antal, András Gézsi, Gábor Hullám, András Millinghoffer
2006	—	`conf`	Literature Mining using Bayesian Networks. Probabilistic Graphical Models Peter Antal, András Millinghoffer
2006	J	`jnl`	The mobiDÁIK Educational Portal. J. Univers. Comput. Sci. Peter Antal, Norbert Bátfai, István Fazekas, Péter Jeszenszky
2004	J	`jnl`	Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artif. Intell. Medicine Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor
2003	J	`jnl`	Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection. Artif. Intell. Medicine Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor
2003	Misc	`conf`	Evaluation of the Vector Space Representation in Text-Based Gene Clustering. Pacific Symposium on Biocomputing Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor
2002	B	`conf`	Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain. CBMS Peter Antal, Dirk Timmerman, Tamás Mészáros, Tadeusz P. Dobrowiecki
2002	A*	`conf`	On the potential of domain literature for clustering and Bayesian network learning. KDD Peter Antal, Patrick Glenisson, Geert Fannes
2002	B	`conf`	Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau
2001	B	`conf`	Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge. CBMS Peter Antal, Bart De Moor, Tamás Mészáros, Tadeusz P. Dobrowiecki
2001	B	`conf`	Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. AIME Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman
2000	B	`conf`	Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote