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2010 – 2019
- 2019
[c13]Daniela Onita, Liviu P. Dinu, Adriana Birlutiu:
From Image to Text in Sentiment Analysis via Regression and Deep Learning. RANLP 2019: 862-868- 2018
- [c12]Daniela Onita, Adriana Birlutiu:
Active Learning based on Transfer Learning Techniques for Image Classification. ESANN 2018 - 2017
- [j4]Thomas Grubinger
, Adriana Birlutiu, Holger Schöner, Thomas Natschläger, Tom Heskes:
Multi-Domain Transfer Component Analysis for Domain Generalization. Neural Process. Lett. 46(3): 845-855 (2017) - [c11]Tobias Geimer, Adriana Birlutiu, Mathias Unberath, Oliver Taubmann, Christoph Bert, Andreas K. Maier:
A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy. Bildverarbeitung für die Medizin 2017: 155-160 - [c10]Tobias Geimer, Mathias Unberath, Adriana Birlutiu, Oliver Taubmann, J. Wolfelschneider, Christoph Bert, Andreas K. Maier:
A kernel-based framework for intra-fractional respiratory motion estimation in radiation therapy. ISBI 2017: 1036-1039 - [c9]Adriana Birlutiu, Adrian Burlacu, Manuella Kadar, Daniela Onita:
Defect Detection in Porcelain Industry Based on Deep Learning Techniques. SYNASC 2017: 263-270 - 2015
- [j3]Adriana Birlutiu, Florence d'Alché-Buc, Tom Heskes:
A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 538-550 (2015) - [c8]Thomas Grubinger, Adriana Birlutiu, Holger Schöner, Thomas Natschläger, Tom Heskes:
Domain Generalization Based on Transfer Component Analysis. IWANN (1) 2015: 325-334 - 2014
- [c7]Adriana Birlutiu, Tom Heskes:
Using Topology Information for Protein-Protein Interaction Prediction. PRIB 2014: 10-22 - 2013
- [j2]Adriana Birlutiu, Perry Groot, Tom Heskes:
Efficiently learning the preferences of people. Mach. Learn. 90(1): 1-28 (2013) - [c6]Adriana Birlutiu, Denisa Ardevan, Paul Bulzu, Camelia-Mihaela Pintea, Alexandru G. Floares:
Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems. CIBB 2013: 178-193 - 2012
- [c5]Alexandru G. Floares, Adriana Birlutiu:
Decision tree models for developing molecular classifiers for cancer diagnosis. IJCNN 2012: 1-7 - 2011
- [c4]Perry Groot, Adriana Birlutiu, Tom Heskes:
Learning from Multiple Annotators with Gaussian Processes. ICANN (2) 2011: 159-164 - 2010
- [j1]Adriana Birlutiu, Perry Groot, Tom Heskes:
Multi-task preference learning with an application to hearing aid personalization. Neurocomputing 73(7-9): 1177-1185 (2010) - [c3]Perry Groot, Adriana Birlutiu, Tom Heskes:
Bayesian Monte Carlo for the Global Optimization of Expensive Functions. ECAI 2010: 249-254
2000 – 2009
- 2009
- [c2]Adriana Birlutiu, Perry Groot, Tom Heskes:
Multi-task Preference learning with Gaussian Processes. ESANN 2009 - 2007
- [c1]Adriana Birlutiu, Tom Heskes:
Expectation Propagation for Rating Players in Sports Competitions. PKDD 2007: 374-381
Coauthor Index
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