Adriana Birlutiu

According to our database, Adriana Birlutiu authored at least 17 papers between 2007 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

From Image to Text in Sentiment Analysis via Regression and Deep Learning.

Daniela Onita, Liviu P. Dinu, Adriana Birlutiu

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

2018

Active Learning based on Transfer Learning Techniques for Image Classification.

Daniela Onita, Adriana Birlutiu

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Multi-Domain Transfer Component Analysis for Domain Generalization.

Thomas Grubinger, Adriana Birlutiu, Holger Schöner, Thomas Natschläger, Tom Heskes

Neural Process. Lett., 2017

Defect Detection in Porcelain Industry Based on Deep Learning Techniques.

Adriana Birlutiu, Adrian Burlacu, Manuella Kadar, Daniela Onita

Proceedings of the 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 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

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy.

Tobias Geimer, Adriana Birlutiu, Mathias Unberath, Oliver Taubmann, Christoph Bert, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

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

Domain Generalization Based on Transfer Component Analysis.

Thomas Grubinger, Adriana Birlutiu, Holger Schöner, Thomas Natschläger, Tom Heskes

Proceedings of the Advances in Computational Intelligence, 2015

2014

Using Topology Information for Protein-Protein Interaction Prediction.

Adriana Birlutiu, Tom Heskes

Proceedings of the Pattern Recognition in Bioinformatics, 2014

2013

Efficiently learning the preferences of people.

Adriana Birlutiu, Perry Groot, Tom Heskes

Mach. Learn., 2013

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

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2012

Decision tree models for developing molecular classifiers for cancer diagnosis.

Alexandru G. Floares, Adriana Birlutiu

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Learning from Multiple Annotators with Gaussian Processes.

Perry Groot, Adriana Birlutiu, Tom Heskes

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Multi-task preference learning with an application to hearing aid personalization.

Adriana Birlutiu, Perry Groot, Tom Heskes

Neurocomputing, 2010

Bayesian Monte Carlo for the Global Optimization of Expensive Functions.

Perry Groot, Adriana Birlutiu, Tom Heskes

Proceedings of the ECAI 2010, 2010

2009

Multi-task Preference learning with Gaussian Processes.

Adriana Birlutiu, Perry Groot, Tom Heskes

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2007

Expectation Propagation for Rating Players in Sports Competitions.

Adriana Birlutiu, Tom Heskes

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007