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Adriana Birlutiu
TitleCited byYear
Multi-task preference learning with an application to hearing aid personalization
A Birlutiu, P Groot, T Heskes
Neurocomputing 73 (7-9), 1177-1185, 2010
Learning from multiple annotators with Gaussian processes
P Groot, A Birlutiu, T Heskes
International Conference on Artificial Neural Networks, 159-164, 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
Efficiently learning the preferences of people
A Birlutiu, P Groot, T Heskes
Machine Learning 90 (1), 1-28, 2013
Expectation propagation for rating players in sports competitions
A Birlutiu, T Heskes
European Conference on Principles of Data Mining and Knowledge Discovery …, 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
Standard-free calibration transfer-An evaluation of different techniques
B Malli, A Birlutiu, T Natschläger
Chemometrics and Intelligent Laboratory Systems 161, 49-60, 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
Multi-task preference learning with gaussian processes
A Birlutiu, P Groot, T Heskes
Bayesian Monte Carlo for the Global Optimization of Expensive Functions.
P Groot, A Birlutiu, T Heskes
ECAI, 249-254, 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
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
Using topology information for protein-protein interaction prediction
A Birlutiu, T Heskes
IAPR International Conference on Pattern Recognition in Bioinformatics, 10-22, 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
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
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
Reverse engineering networks as ordinary differential equations systems
A Floares, A Birlutiu
Computational Intelligence. NOVA Science Publishers, New York, 2012
Machine learning for pairwise data: applications for preference learning and supervised network inference
A Birlutiu
[Sl: sn], 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
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
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Articles 1–20