Expectation Propagation for Rating Players in Sports Competitions. - Adriana Birlutiu; Tom Heskes (PKDD, 2007)

Multi-task Preference learning with Gaussian Processes. - Adriana Birlutiu; Perry Groot; Tom Heskes (ESANN, 2009)

Bayesian Monte Carlo for the Global Optimization of Expensive Functions. - Perry Groot; Adriana Birlutiu; Tom Heskes (ECAI, 2010)

Multi-task preference learning with an application to hearing aid personalization. - Adriana Birlutiu; Perry Groot; Tom Heskes (Neurocomputing, 2010)

Learning from Multiple Annotators with Gaussian Processes. - Perry Groot; Adriana Birlutiu; Tom Heskes (ICANN (2), 2011)

Decision tree models for developing molecular classifiers for cancer diagnosis. - Alexandru G. Floares; Adriana Birlutiu (IJCNN, 2012)

Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems. - Adriana Birlutiu; Denisa Ardevan; Paul Bulzu; Camelia-Mihaela Pintea; Alexandru G. Floares (CIBB, 2013)

Efficiently learning the preferences of people. - Adriana Birlutiu; Perry Groot; Tom Heskes (Mach. Learn., 2013)

Using Topology Information for Protein-Protein Interaction Prediction. - Adriana Birlutiu; Tom Heskes (PRIB, 2014)

Domain Generalization Based on Transfer Component Analysis. - Thomas Grubinger; Adriana Birlutiu; Holger Schöner; Thomas Natschläger; Tom Heskes (IWANN (1), 2015)

A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions. - Adriana Birlutiu; Florence d'Alché-Buc; Tom Heskes (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy. - Tobias Geimer; Adriana Birlutiu; Mathias Unberath; Oliver Taubmann; Christoph Bert; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

A kernel-based framework for intra-fractional respiratory motion estimation in radiation therapy. - Tobias Geimer; Mathias Unberath; Adriana Birlutiu; Oliver Taubmann; J. Wolfelschneider; Christoph Bert; Andreas K. Maier (ISBI, 2017)

Defect Detection in Porcelain Industry Based on Deep Learning Techniques. - Adriana Birlutiu; Adrian Burlacu; Manuella Kadar; Daniela Onita (SYNASC, 2017)

Multi-Domain Transfer Component Analysis for Domain Generalization. - Thomas Grubinger; Adriana Birlutiu; Holger Schöner; Thomas Natschläger; Tom Heskes (Neural Process. Lett., 2017)

Active Learning based on Transfer Learning Techniques for Image Classification. - Daniela Onita; Adriana Birlutiu (ESANN, 2018)

From Image to Text in Sentiment Analysis via Regression and Deep Learning. - Daniela Onita; Liviu P. Dinu; Adriana Birlutiu (RANLP, 2019)