Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. - Peter Antal; Herman Verrelst; Dirk Timmerman; Sabine Van Huffel; Bart De Moor; Ignace Vergote (CBMS, 2000)

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 (AIME, 2001)

Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge. - Peter Antal; Bart De Moor; Tamás Mészáros 003; Tadeusz P. Dobrowiecki (CBMS, 2001)

Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. - Stein Aerts; Peter Antal; Dirk Timmerman; Bart De Moor; Yves Moreau (CBMS, 2002)

Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain. - Peter Antal; Dirk Timmerman; Tamás Mészáros 003; Tadeusz P. Dobrowiecki (CBMS, 2002)

On the potential of domain literature for clustering and Bayesian network learning. - Peter Antal; Patrick Glenisson; Geert Fannes (KDD, 2002)

Evaluation of the Vector Space Representation in Text-Based Gene Clustering. - Patrick Glenisson; Peter Antal; Janick Mathys; Yves Moreau; Bart De Moor (Pacific Symposium on Biocomputing, 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)

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)

Learning Complex Bayesian Network Features for Classification. - Peter Antal; András Gézsi; Gábor Hullám; András Millinghoffer (Probabilistic Graphical Models, 2006)

Literature Mining using Bayesian Networks. - Peter Antal; András Millinghoffer (Probabilistic Graphical Models, 2006)

The mobiDÁIK Educational Portal. - Peter Antal; Norbert Bátfai; István Fazekas; Péter Jeszenszky (J. Univers. Comput. Sci., 2006)

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 (FSDM, 2008)

Evaluation of a Bayesian model-based approach in GA studies. - Gábor Hullám; Peter Antal; Csaba Szalai; András Falus (MLSB, 2010)

MicroRNA Prioritization based on Target Profile Similarities. - Peter Marx; Bence Bolgár; András Gézsi; Attila Gulyás-Kovács; Peter Antal (BIOINFORMATICS, 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 (BIOINFORMATICS, 2014)

Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers. - Gábor Hullám; Peter Antal (Probabilistic Graphical Models, 2014)

Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences. - Bence Bolgár; Peter Antal (Probabilistic Graphical Models, 2016)

Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease. - Peter Marx; András Millinghoffer; Gabriella Juhász; Peter Antal (Probabilistic Graphical Models, 2016)

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 (CIBCB, 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)

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)

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)

Constructing a Quantitative Fusion Layer over the Semantic Level for Scalable Inference. - András Gézsi; Bence Bruncsics; Gábor Guta; Peter Antal (IWBBIO (1), 2018)

Bayesian exploration of dependencies of laboratory tests and evaluation of test redundancy. - Zeyneb Guenfoud; Peter Antal (PAIS, 2018)

A multi-trait evaluation of network propagation for GWAS results. - Bence Bruncsics; Peter Antal (CIBCB, 2019)

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; et al. (CoRR, 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; et al. (AAAI, 2023)

DT-ML: Drug-Target Metric Learning. - Domonkos Pogány; Péter Antal (BIOINFORMATICS, 2023)

Algorithmic Biases in Causal Structure Learning for Gene Regulatory Networks. - Dániel Sándor; Lili Nemes; Péter Antal (HCAIep, 2023)

The European AI Tango: Balancing Regulation Innovation and Competitiveness. - Christina Todorova; George Sharkov; Huib Aldewereld; Stefan Leijnen; Alireza Dehghani; Stefano Marrone 002; Carlo Sansone; Maurice Lynch; John Pugh; Tarry Singh; Kitti Mezei; Péter Antal; et al. (HCAIep, 2023)

Boosting Federated Multitask Learning: Transfer Effects in Cross-Domain Drug-Target Interaction Prediction. - Dániel Sándor; Péter Antal (IntelliSys (1), 2023)

Payload Grasping and Transportation by a Quadrotor with a Hook-Based Manipulator. - Péter Antal; Tamás Péni; Roland Tóth (CoRR, 2023)

Modelling, identification and geometric control of autonomous quadcopters for agile maneuvering. - Péter Antal; Tamás Péni; Roland Tóth (CoRR, 2023)

Modular Quantitative Temporal Transformer for Biobank-Scale Unified Representations. - Mátyás Antal; Márk Marosi; Tamás Nagy; András Millinghoffer; András Gézsi; Gabriella Juhász; Péter Antal (AIME (2), 2024)

Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients. - András Millinghoffer; Mátyás Antal; Márk Marosi; András Formanek; András Antos; Péter Antal (AIME (1), 2024)

Hyperbolic Metabolite-Disease Association Prediction. - Domonkos Pogány; Péter Antal (ESANN, 2024)

Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems. - Péter Antal; Tamás Péni; Roland Tóth (ECC, 2024)

Model Based Clustering of Time Series Utilizing Expert ODEs. - András Formanek; Edward De Brouwer; Péter Antal; Yves Moreau; Adam Arany (ICANN (4), 2024)

Hook-Based Aerial Payload Grasping from a Moving Platform. - Péter Antal; Tamás Péni; Roland Tóth (CoRR, 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; et al. (J. Chem. Inf. Model., 2024)

Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning. - Péter Antal; Tamás Péni; Roland Tóth (IEEE Trans. Control. Syst. Technol., 2024)

Autonomous Hook-Based Grasping and Transportation With Quadcopters. - Péter Antal; Tamás Péni; Roland Tóth (IEEE Trans. Control. Syst. Technol., 2025)

Efficient structure learning of gene regulatory networks with Bayesian active learning. - Dániel Sándor; Péter Antal (BMC Bioinform., 2025)