| Multi-task preference learning with an application to hearing aid personalization A Birlutiu, P Groot, T Heskes Neurocomputing 73 (7-9), 1177-1185, 2010 | 38 | 2010 |
| Learning from multiple annotators with Gaussian processes P Groot, A Birlutiu, T Heskes International Conference on Artificial Neural Networks, 159-164, 2011 | 35 | 2011 |
| Transcriptional plasticity of a soil arthropod across different ecological conditions TE de Boer, A Birlutiu, Z Bochdanovits, MJTN Timmermans, TMH Dijkstra, ... Molecular Ecology 20 (6), 1144-1154, 2011 | 27 | 2011 |
| Efficiently learning the preferences of people A Birlutiu, P Groot, T Heskes Machine Learning 90 (1), 1-28, 2013 | 23 | 2013 |
| Expectation propagation for rating players in sports competitions A Birlutiu, T Heskes European Conference on Principles of Data Mining and Knowledge Discovery …, 2007 | 18 | 2007 |
| Decision tree models for developing molecular classifiers for cancer diagnosis A Floares, A Birlutiu Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-7, 2012 | 17 | 2012 |
| Standard-free calibration transfer-An evaluation of different techniques B Malli, A Birlutiu, T Natschläger Chemometrics and Intelligent Laboratory Systems 161, 49-60, 2017 | 11 | 2017 |
| A bayesian framework for combining protein and network topology information for predicting protein-protein interactions A Birlutiu, F D'Alché-Buc, T Heskes IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 12 …, 2015 | 9 | 2015 |
| Multi-task preference learning with gaussian processes A Birlutiu, P Groot, T Heskes | 9 | 2009 |
| Bayesian Monte Carlo for the Global Optimization of Expensive Functions. P Groot, A Birlutiu, T Heskes ECAI, 249-254, 2010 | 7 | 2010 |
| A kernel-based framework for intra-fractional respiratory motion estimation in radiation therapy T Geimer, M Unberath, A Birlutiu, O Taubmann, J Wölfelschneider, C Bert, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 6 | 2017 |
| Domain generalization based on transfer component analysis T Grubinger, A Birlutiu, H Schöner, T Natschläger, T Heskes International Work-Conference on Artificial Neural Networks, 325-334, 2015 | 5 | 2015 |
| Using topology information for protein-protein interaction prediction A Birlutiu, T Heskes IAPR International Conference on Pattern Recognition in Bioinformatics, 10-22, 2014 | 5 | 2014 |
| A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy T Geimer, A Birlutiu, M Unberath, O Taubmann, C Bert, A Maier Bildverarbeitung für die Medizin 2017, 155-160, 2017 | 4 | 2017 |
| Multi-domain transfer component analysis for domain generalization T Grubinger, A Birlutiu, H Schöner, T Natschläger, T Heskes Neural processing letters 46 (3), 845-855, 2017 | 3 | 2017 |
| Defect Detection in Porcelain Industry based on Deep Learning Techniques A Birlutiu, A Burlacu, M Kadar, D Onita 19th International Symposium on Symbolic and Numeric Algorithms for …, 2017 | 2 | 2017 |
| Reverse engineering networks as ordinary differential equations systems A Floares, A Birlutiu Computational Intelligence. NOVA Science Publishers, New York, 2012 | 2 | 2012 |
| Machine learning for pairwise data: applications for preference learning and supervised network inference A Birlutiu [Sl: sn], 2011 | 2 | 2011 |
| Quality control in porcelain industry based on computer vision techniques D Onita, N Vartan, M Kadar, A Birlutiu Young Engineers Forum (YEF-ECE), 2018 International, 79-84, 2018 | 1 | 2018 |
| Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems A Birlutiu, D Ardevan, P Bulzu, C Pintea, A Floares International Meeting on Computational Intelligence Methods for …, 2013 | 1 | 2013 |
Tom HeskesProfessor of Computer Science and Artificial Intelligence, Radboud University NijmegenVerified email at science.ru.nl
