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	Author	Title	Year	Publication	Volume	Pages	Links
	Juan Ramon Terven Salinas; Joaquin Salas; Bogdan Raducanu	New Opportunities for Computer Vision-Based Assistive Technology Systems for the Visually Impaired	2014	Computer	47	52-58
	Bogdan Raducanu; Fadi Dornaika	Embedding new observations via sparse-coding for non-linear manifold learning	2014	Pattern Recognition	47	480-492
	Cesar Isaza; Joaquin Salas; Bogdan Raducanu	Rendering ground truth data sets to detect shadows cast by static objects in outdoors	2014	Multimedia Tools and Applications	70	557-571
	Juan Ramon Terven Salinas; Joaquin Salas; Bogdan Raducanu	Robust Head Gestures Recognition for Assistive Technology	2014	Pattern Recognition	8495	152-161
	Manuel Graña; Bogdan Raducanu	Special Issue on Bioinspired and knowledge based techniques and applications	2015	Neurocomputing		1-3
	Bogdan Raducanu; Alireza Bosaghzadeh; Fadi Dornaika	Facial Expression Recognition based on Multi-view Observations with Application to Social Robotics	2014	1st Workshop on Computer Vision for Affective Computing		1-8
	Fadi Dornaika; Bogdan Raducanu; Alireza Bosaghzadeh	Facial expression recognition based on multi observations with application to social robotics	2015	Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance		153-166
	Javad Zolfaghari Bengar	Reducing Label Effort with Deep Active Learning	2021	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Javad Zolfaghari Bengar; Joost Van de Weijer; Bartlomiej Twardowski; Bogdan Raducanu	Reducing Label Effort: Self- Supervised Meets Active Learning	2021	International Conference on Computer Vision Workshops		1631-1639
	Javad Zolfaghari Bengar; Bogdan Raducanu; Joost Van de Weijer	When Deep Learners Change Their Mind: Learning Dynamics for Active Learning	2021	19th International Conference on Computer Analysis of Images and Patterns	13052	403-413
	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
	Alex Gomez-Villa; Bartlomiej Twardowski; Lu Yu; Andrew Bagdanov; Joost Van de Weijer	Continually Learning Self-Supervised Representations With Projected Functional Regularization	2022	CVPR 2022 Workshop on Continual Learning (CLVision, 3rd Edition)		3866-3876
	Carola Figueroa Flores; Bogdan Raducanu; David Berga; Joost Van de Weijer	Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains	2021	16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications	4	163-171
	Albin Soutif; Marc Masana; Joost Van de Weijer; Bartlomiej Twardowski	On the importance of cross-task features for class-incremental learning	2021	Theory and Foundation of continual learning workshop of ICML
	Fei Yang	Towards Practical Neural Image Compression	2021	PhD Thesis, Universitat Autonoma de Barcelona-CVC

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