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ORCIDPéter Antal
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- affiliation: Budapest University of Technology and Economics, Hungary
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2020 – today
- 2024
[j8]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:
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64(7): 2331-2344 (2024)- [j7]Péter Antal, Tamás Péni, Roland Tóth:
Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning. IEEE Trans. Control. Syst. Technol. 32(1): 3-14 (2024) - [c29]András Millinghoffer, Mátyás Antal, Márk Marosi, András Formanek, András Antos, Péter Antal:
Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients. AIME (1) 2024: 17-35 - [c28]Mátyás Antal, Márk Marosi, Tamás Nagy, András Millinghoffer, András Gézsi, Gabriella Juhász, Péter Antal:
Modular Quantitative Temporal Transformer for Biobank-Scale Unified Representations. AIME (2) 2024: 212-226 - [c27]Péter Antal, Tamás Péni, Roland Tóth:
Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems. ECC 2024: 180-185 - [c26]András Formanek, Edward De Brouwer, Péter Antal, Yves Moreau, Adam Arany:
Model Based Clustering of Time Series Utilizing Expert ODEs. ICANN (4) 2024: 230-245 - [i7]Péter Antal, Tamás Péni, Roland Tóth:
Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems. CoRR abs/2405.13750 (2024) - [i6]Péter Antal, Tamás Péni, Roland Tóth:
Hook-Based Aerial Payload Grasping from a Moving Platform. CoRR abs/2409.11788 (2024) - 2023
- [c25]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:
Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI 2023: 15576-15584 - [c24]Domonkos Pogány, Péter Antal:
DT-ML: Drug-Target Metric Learning. BIOINFORMATICS 2023: 204-211 - [c23]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:
The European AI Tango: Balancing Regulation Innovation and Competitiveness. HCAIep 2023: 2-8 - [c22]Dániel Sándor, Lili Nemes, Péter Antal:
Algorithmic Biases in Causal Structure Learning for Gene Regulatory Networks. HCAIep 2023: 52 - [c21]Dániel Sándor, Péter Antal:
Boosting Federated Multitask Learning: Transfer Effects in Cross-Domain Drug-Target Interaction Prediction. IntelliSys (1) 2023: 386-399 - [i5]Péter Antal, Tamás Péni, Roland Tóth:
Payload Grasping and Transportation by a Quadrotor with a Hook-Based Manipulator. CoRR abs/2304.02444 (2023) - [i4]Péter Antal, Tamás Péni, Roland Tóth:
Modelling, identification and geometric control of autonomous quadcopters for agile maneuvering. CoRR abs/2306.09651 (2023) - 2022
- [i3]Peter Antal, Tamás Péni, Roland Tóth:
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning. CoRR abs/2209.14652 (2022) - [i2]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:
Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR abs/2210.08871 (2022) - [i1]Ferenc Fejes, Péter Antal, Márton Kerekes:
The TSN Building Blocks in Linux. CoRR abs/2211.14138 (2022)
2010 – 2019
- 2019
- [c20]Bence Bruncsics, Peter Antal:
A multi-trait evaluation of network propagation for GWAS results. CIBCB 2019: 1-6 - 2018
- [c19]András Gézsi, Bence Bruncsics, Gábor Guta, Peter Antal:
Constructing a Quantitative Fusion Layer over the Semantic Level for Scalable Inference. IWBBIO (1) 2018: 41-53 - [c18]Zeyneb Guenfoud, Peter Antal:
Bayesian exploration of dependencies of laboratory tests and evaluation of test redundancy. PAIS 2018: 1-6 - 2017
- [j6]Bence Bolgár, Peter Antal:
VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization. BMC Bioinform. 18(1): 440:1-440:18 (2017) - [j5]Péter Sárközy, Viktor Molnar, Dóra Fogl, Csaba Szalai, Péter Antal:
Beyond Homopolymer Errors: a Systematic Investigation of Nanopore-based DNA Sequencing Characteristics Using HLA-DQA2. Period. Polytech. Electr. Eng. Comput. Sci. 61(3): 231-237 (2017) - [j4]Peter Marx, Peter Antal, Bence Bolgár, Gyorgy Bagdy, Bill Deakin, Gabriella Juhász:
Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depression. PLoS Comput. Biol. 13(6) (2017) - [c17]Gábor Hullám, Gabriella Juhász, Bill Deakin, Peter Antal:
Structural and parametric uncertainties in full Bayesian and graphical lasso based approaches: Beyond edge weights in psychological networks. CIBCB 2017: 1-8 - 2016
- [c16]Bence Bolgár, Peter Antal:
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences. Probabilistic Graphical Models 2016: 25-36 - [c15]Peter Marx, András Millinghoffer, Gabriella Juhász, Peter Antal:
Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease. Probabilistic Graphical Models 2016: 310-320 - 2014
- [c14]Péter Sárközy, Márton Enyedi, Peter Antal:
Flow Index based Characterization of next Generation Sequencing Errors - Visualizing Pyrosequencing and Semiconductor Sequencing to Cope with Homopolymer Errors. BIOINFORMATICS 2014: 271-277 - [c13]Peter Marx, Bence Bolgár, András Gézsi, Attila Gulyás-Kovács, Peter Antal:
MicroRNA Prioritization based on Target Profile Similarities. BIOINFORMATICS 2014: 278-285 - [c12]Gábor Hullám, Peter Antal:
Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers. Probabilistic Graphical Models 2014: 222-237 - 2010
- [c11]Gábor Hullám, Peter Antal, Csaba Szalai, András Falus:
Evaluation of a Bayesian model-based approach in GA studies. MLSB 2010: 30-43
2000 – 2009
- 2008
- [c10]Peter Antal, András Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus:
A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction. FSDM 2008: 74-89 - 2006
- [j3]Peter Antal, Norbert Bátfai, István Fazekas, Péter Jeszenszky:
The mobiDÁIK Educational Portal. J. Univers. Comput. Sci. 12(9): 1118-1127 (2006) - [c9]Peter Antal, András Gézsi, Gábor Hullám, András Millinghoffer:
Learning Complex Bayesian Network Features for Classification. Probabilistic Graphical Models 2006: 9-16 - [c8]Peter Antal, András Millinghoffer:
Literature Mining using Bayesian Networks. Probabilistic Graphical Models 2006: 17-24 - 2004
- [j2]Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor:
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artif. Intell. Medicine 30(3): 257-281 (2004) - 2003
- [j1]Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor:
Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection. Artif. Intell. Medicine 29(1-2): 39-60 (2003) - [c7]Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor:
Evaluation of the Vector Space Representation in Text-Based Gene Clustering. Pacific Symposium on Biocomputing 2003: 391-402 - 2002
- [c6]Peter Antal, Dirk Timmerman, Tamás Mészáros, Tadeusz P. Dobrowiecki:
Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain. CBMS 2002: 213-218 - [c5]Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau:
Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS 2002: 282-287 - [c4]Peter Antal, Patrick Glenisson, Geert Fannes:
On the potential of domain literature for clustering and Bayesian network learning. KDD 2002: 405-414 - 2001
- [c3]Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman:
Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. AIME 2001: 177-187 - [c2]Peter Antal, Bart De Moor, Tamás Mészáros, Tadeusz P. Dobrowiecki:
Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge. CBMS 2001: 177-182 - 2000
- [c1]Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote:
Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS 2000: 103-108
Coauthor Index
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last updated on 2024-12-26 00:45 CET by the dblp team
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