Péter Antal

According to our database, Péter Antal authored at least 42 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning.

Péter Antal, Tamás Péni, Roland Tóth

IEEE Trans. Control. Syst. Technol., January, 2024

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.

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

J. Chem. Inf. Model., 2024

Hook-Based Aerial Payload Grasping from a Moving Platform.

Péter Antal, Tamás Péni, Roland Tóth

CoRR, 2024

Model Based Clustering of Time Series Utilizing Expert ODEs.

András Formanek, Edward De Brouwer, Péter Antal, Yves Moreau, Adam Arany

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems.

Péter Antal, Tamás Péni, Roland Tóth

Proceedings of the European Control Conference, 2024

Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients.

András Millinghoffer, Mátyás Antal, Márk Marosi, András Formanek, András Antos, Péter Antal

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

Modular Quantitative Temporal Transformer for Biobank-Scale Unified Representations.

Mátyás Antal, Márk Marosi, Tamás Nagy, András Millinghoffer, András Gézsi, Gabriella Juhász, Péter Antal

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Modelling, identification and geometric control of autonomous quadcopters for agile maneuvering.

Péter Antal, Tamás Péni, Roland Tóth

CoRR, 2023

Payload Grasping and Transportation by a Quadrotor with a Hook-Based Manipulator.

Péter Antal, Tamás Péni, Roland Tóth

CoRR, 2023

Boosting Federated Multitask Learning: Transfer Effects in Cross-Domain Drug-Target Interaction Prediction.

Dániel Sándor, Péter Antal

Proceedings of the Intelligent Systems and Applications, 2023

The European AI Tango: Balancing Regulation Innovation and Competitiveness.

Christina Todorova, George Sharkov, Huib Aldewereld, Stefan Leijnen, Alireza Dehghani, Stefano Marrone, Carlo Sansone, Maurice Lynch, John Pugh, Tarry Singh, Kitti Mezei, Péter Antal, Peter Hanák, Alessandro Barducci, Fernando Pérez-Téllez, Francesco Gargiulo

Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice, 2023

Algorithmic Biases in Causal Structure Learning for Gene Regulatory Networks.

Dániel Sándor, Lili Nemes, Péter Antal

Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice, 2023

DT-ML: Drug-Target Metric Learning.

Domonkos Pogány, Péter Antal

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Industry-Scale Orchestrated Federated Learning for Drug Discovery.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

The TSN Building Blocks in Linux.

Ferenc Fejes, Péter Antal, Márton Kerekes

CoRR, 2022

Industry-Scale Orchestrated Federated Learning for Drug Discovery.

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

CoRR, 2022

2019

A multi-trait evaluation of network propagation for GWAS results.

Bence Bruncsics, Peter Antal

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2018

Bayesian exploration of dependencies of laboratory tests and evaluation of test redundancy.

Zeyneb Guenfoud, Peter Antal

Proceedings of the 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2018

Constructing a Quantitative Fusion Layer over the Semantic Level for Scalable Inference.

András Gézsi, Bence Bruncsics, Gábor Guta, Peter Antal

Proceedings of the Bioinformatics and Biomedical Engineering, 2018

2017

Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depression.

Peter Marx, Peter Antal, Bence Bolgár, Gyorgy Bagdy, Bill Deakin, Gabriella Juhász

PLoS Comput. Biol., 2017

Beyond Homopolymer Errors: a Systematic Investigation of Nanopore-based DNA Sequencing Characteristics Using HLA-DQA2.

Péter Sárközy, Viktor Molnar, Dóra Fogl, Csaba Szalai, Péter Antal

Period. Polytech. Electr. Eng. Comput. Sci., 2017

VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization.

Bence Bolgár, Peter Antal

BMC Bioinform., 2017

Structural and parametric uncertainties in full Bayesian and graphical lasso based approaches: Beyond edge weights in psychological networks.

Gábor Hullám, Gabriella Juhász, Bill Deakin, Peter Antal

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016

Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease.

Peter Marx, András Millinghoffer, Gabriella Juhász, Peter Antal

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences.

Bence Bolgár, Peter Antal

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2014

Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers.

Gábor Hullám, Peter Antal

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Flow Index based Characterization of next Generation Sequencing Errors - Visualizing Pyrosequencing and Semiconductor Sequencing to Cope with Homopolymer Errors.

Péter Sárközy, Márton Enyedi, Peter Antal

Proceedings of the BIOINFORMATICS 2014, 2014

MicroRNA Prioritization based on Target Profile Similarities.

Peter Marx, Bence Bolgár, András Gézsi, Attila Gulyás-Kovács, Peter Antal

Proceedings of the BIOINFORMATICS 2014, 2014

2010

Evaluation of a Bayesian model-based approach in GA studies.

Gábor Hullám, Peter Antal, Csaba Szalai, András Falus

Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

2008

A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction.

Peter Antal, András Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus

Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

2006

The mobiDÁIK Educational Portal.

Peter Antal, Norbert Bátfai, István Fazekas, Péter Jeszenszky

J. Univers. Comput. Sci., 2006

Literature Mining using Bayesian Networks.

Peter Antal, András Millinghoffer

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Learning Complex Bayesian Network Features for Classification.

Peter Antal, András Gézsi, Gábor Hullám, András Millinghoffer

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2004

Using literature and data to learn Bayesian networks as clinical models of ovarian tumors.

Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor

Artif. Intell. Medicine, 2004

2003

Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection.

Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor

Artif. Intell. Medicine, 2003

Evaluation of the Vector Space Representation in Text-Based Gene Clustering.

Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

2002

On the potential of domain literature for clustering and Bayesian network learning.

Peter Antal, Patrick Glenisson, Geert Fannes

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain.

Peter Antal, Dirk Timmerman, Tamás Mészáros, Tadeusz P. Dobrowiecki

Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002

Web-based Data Collection for Uterine Adnexal Tumors: A Case Study.

Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau

Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002

2001

Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge.

Peter Antal, Bart De Moor, Tamás Mészáros, Tadeusz P. Dobrowiecki

Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001

Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors.

Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman

Proceedings of the Artificial Intelligence Medicine, 2001

2000

Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations.

Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote

Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS 2000), 2000