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	Author	Title	Year	Publication	Volume	Pages	Links
	Marçal Rusiñol; David Aldavert; Dimosthenis Karatzas; Ricardo Toledo; Josep Llados	Interactive Trademark Image Retrieval by Fusing Semantic and Visual Content. Advances in Information Retrieval	2011	33rd European Conference on Information Retrieval	6611	314-325
	Marçal Rusiñol; Agnes Borras; Josep Llados	Relational Indexing of Vectorial Primitives for Symbol Spotting in Line-Drawing Images	2010	Pattern Recognition Letters	31	188–201
	Marçal Rusiñol	A Model of Vectorial Signatures in Terms of Expressive Sub-Shapes: Symbol Indexation in Technical Documents	2006	CVC Technical Report #94
	Marçal Rusiñol	Geometric and Structural-based Symbol Spotting. Application to Focused Retrieval in Graphic Document Collections	2009	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Marçal Rusiñol	Classificació semàntica i visual de documents digitals	2019	Revista de biblioteconomia i documentacio		75-86
	Manuel Graña; Bogdan Raducanu	Special Issue on Bioinspired and knowledge based techniques and applications	2015	Neurocomputing		1-3
	Manuel Carbonell; Pau Riba; Mauricio Villegas; Alicia Fornes; Josep Llados	Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents	2020	25th International Conference on Pattern Recognition
	Manuel Carbonell; Mauricio Villegas; Alicia Fornes; Josep Llados	Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model	2018	13th IAPR International Workshop on Document Analysis Systems		399-404
	Manuel Carbonell; Joan Mas; Mauricio Villegas; Alicia Fornes; Josep Llados	End-to-End Handwritten Text Detection and Transcription in Full Pages	2019	2nd International Workshop on Machine Learning	5	29-34
	Manuel Carbonell; Alicia Fornes; Mauricio Villegas; Josep Llados	A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages	2020	Pattern Recognition Letters	136	219-227
	Manuel Carbonell	Neural Information Extraction from Semi-structured Documents A	2020	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde	Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain	2021	Biomedical Signal Processing and Control	68	102535
	Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde	Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization	2021	International Journal of Imaging Systems and Technology	31	2170-2188
	Maedeh Aghaei; Petia Radeva	Bag-of-Tracklets for Person Tracking in Life-Logging Data	2014	17th International Conference of the Catalan Association for Artificial Intelligence	269	35-44
	Maedeh Aghaei; Mariella Dimiccoli; Petia Radeva	Towards social interaction detection in egocentric photo-streams	2015	Proceedings of SPIE, 8th International Conference on Machine Vision , ICMV 2015	9875

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