Author |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Year |
Publication |
Volume |
Pages |
Sergio Escalera; Alicia Fornes; Oriol Pujol; Josep Llados; Petia Radeva |
Circular Blurred Shape Model for Multiclass Symbol Recognition |
2011 |
IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) |
41 |
497-506 |
Marc Masana; Xialei Liu; Bartlomiej Twardowski; Mikel Menta; Andrew Bagdanov; Joost Van de Weijer |
Class-incremental learning: survey and performance evaluation |
2022 |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
|
|
Kunal Biswas; Palaiahnakote Shivakumara; Umapada Pal; Tong Lu; Michel Blumenstein; Josep Llados |
Classification of aesthetic natural scene images using statistical and semantic features |
2023 |
Multimedia Tools and Applications |
82 |
13507-13532 |
AN Ruchai; VI Kober; KA Dorofeev; VN Karnaukhov; Mikhail Mozerov |
Classification of breast abnormalities using a deep convolutional neural network and transfer learning |
2021 |
Journal of Communications Technology and Electronics |
66 |
778–783 |
Carolina Malagelada; Michal Drozdzal; Santiago Segui; Sara Mendez; Jordi Vitria; Petia Radeva; Javier Santos; Anna Accarino; Juan R. Malagelada; Fernando Azpiroz |
Classification of functional bowel disorders by objective physiological criteria based on endoluminal image analysis |
2015 |
American Journal of Physiology-Gastrointestinal and Liver Physiology |
309 |
G413--G419 |
Jose Luis Gomez; Gabriel Villalonga; Antonio Lopez |
Co-Training for Deep Object Detection: Comparing Single-Modal and Multi-Modal Approaches |
2021 |
Sensors |
21 |
3185 |
Gabriel Villalonga; Antonio Lopez |
Co-Training for On-Board Deep Object Detection |
2020 |
IEEE Access |
|
194441 - 194456 |
Jose Luis Gomez; Gabriel Villalonga; Antonio Lopez |
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models |
2023 |
Sensors – Special Issue on “Machine Learning for Autonomous Driving Perception and Prediction” |
23 |
621 |
Zhen Xu; Sergio Escalera; Adrien Pavao; Magali Richard; Wei-Wei Tu; Quanming Yao; Huan Zhao; Isabelle Guyon |
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform |
2022 |
Patterns |
3 |
100543 |
Adrien Pavao; Isabelle Guyon; Anne-Catherine Letournel; Dinh-Tuan Tran; Xavier Baro; Hugo Jair Escalante; Sergio Escalera; Tyler Thomas; Zhen Xu |
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges |
2023 |
Journal of Machine Learning Research |
|
|
Giuseppe Pezzano; Oliver Diaz; Vicent Ribas Ripoll; Petia Radeva |
CoLe-CNN+: Context learning – Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation |
2021 |
Computers in Biology and Medicine |
136 |
104689 |
Giuseppe Pezzano; Vicent Ribas Ripoll; Petia Radeva |
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation |
2021 |
Computer Methods and Programs in Biomedicine |
198 |
105792 |
Javier Vazquez; C. Alejandro Parraga; Maria Vanrell; Ramon Baldrich |
Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset |
2009 |
Journal of Imaging Science and Technology |
53 |
031105–9 |
Javier Vazquez; Maria Vanrell; Ramon Baldrich; Francesc Tous |
Color Constancy by Category Correlation |
2012 |
IEEE Transactions on Image Processing |
21 |
1997-2007 |
Arjan Gijsenij; R. Lu; Theo Gevers; De Xu |
Color Constancy for Multiple Light Source |
2012 |
IEEE Transactions on Image Processing |
21 |
697-707 |