María José Castro Bleda

发表

Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models

Salvador España Boquera, María José Castro Bleda, Jorge Gorbe-Moya, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hybrid connectionist-structural acoustical modeling in the ATROS system

Francisco Casacuberta, María José Castro Bleda, 1999, EUROSPEECH.

CEU-UPV English-Spanish system for WMT11

María José Castro Bleda, Francisco Zamora-Martínez, Francisco Zamora-Martínez, 2010, WMT@EMNLP.

Acoustic and syntactical modeling in the ATROS system

Francisco Casacuberta, Encarna Segarra, Joan-Andreu Sánchez, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Improving Isolated Handwritten Word Recognition Using a Specialized Classifier for Short Words

Salvador España Boquera, María José Castro Bleda, Jorge Gorbe-Moya, 2009, CAEPIA.

Neural-Based Classification of Blocks from Documents

Damián López, María José Castro Bleda, 2002, ICANN.

Dialogue Act Classification in a Spoken Dialogue System

Emilio Sanchis Arnal, María José Castro Bleda, David Vilar, 2003, CAEPIA.

A Holistic Classification System for Check Amounts Based on Neural Networks with Rejection

David Griol, Francesc J. Ferri, Salvador España Boquera, 2005, PReMI.

The Use of Multilayer Perceptrons in Isolated Word Recognition

Francisco Casacuberta, María José Castro Bleda, 1991, IWANN.

Word Discovering in Low-Resources Languages Through Cross-Lingual Phonemes

Emilio Sanchis Arnal, María José Castro Bleda, José-Ángel González, 2019, SPECOM.

Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System

María José Castro Bleda, Francisco Zamora-Martínez, Francisco Zamora-Martínez, 2018, Int. J. Neural Syst..

Discriminación y predicción de propiedades de fármacos mediante redes neuronales

María José Castro Bleda, Wladimiro Díaz Villanueva, Juan Lucas Domínguez Rubio, 2003, Inteligencia Artif..

F-Measure as the Error Function to Train Neural Networks

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2013, IWANN.

Neural network language models for off-line handwriting recognition

Volkmar Frinken, Horst Bunke, Salvador España Boquera, 2014, Pattern Recognition.

Combining Learned Script Points and Combinatorial Optimization for Text Line Extraction

Angelika Garz, Rolf Ingold, María José Castro Bleda, 2015, HIP@ICDAR.

Behaviour-Based Clustering of Neural Networks

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2009, Encyclopedia of Artificial Intelligence.

Traducción automática basada en n-gramas conexionistas

María José Castro Bleda, Francisco Zamora-Martínez, 2010, Proces. del Leng. Natural.

An inequality for eigenvalues of quasilinear problems with monotonic weights

Juan Pablo Pinasco, María José Castro Bleda, 2010, Appl. Math. Lett..

Building a global dictionary for semantic technologies

María José Castro Bleda, Gábor Borbély, Gábor Recski, 2018, IberSPEECH.

Sistema de Diálogo Estadístico y Adquisición de un Nuevo Corpus de Diálogos

David Griol, Encarna Segarra, Emilio Sanchis Arnal, 2007, Proces. del Leng. Natural.

N-gram-based machine translation enhanced with neural networks

Holger Schwenk, María José Castro Bleda, Francisco Zamora-Martínez, 2010, IWSLT.

Complete System for Text Line Extraction Using Convolutional Neural Networks and Watershed Transform

Marcus Liwicki, María José Castro Bleda, Muhammad Zeshan Afzal, 2016, 2016 12th IAPR Workshop on Document Analysis Systems (DAS).

Musical Style Identification with n-Grams and Neural Networks

María José Castro Bleda, Pedro P. Cruz-Alcázar, 2008, CIARP.

Cursive Word Recognition Based on Interactive Activation and Early Visual Processing Models

María José Castro Bleda, Eric Lecolinet, José Ruiz-Pinales, 2008, Int. J. Neural Syst..

The Morphic Generator Grammatical Inference Methodology and Multilayer Perceptrons: A Hybrid Approach to Acoustic Modeling

Francisco Casacuberta, María José Castro Bleda, F. Casacuberta, 1996, SSPR.

A Simple Connectionist Approach to Language Understanding in a Dialogue System

Emilio Sanchis Arnal, María José Castro Bleda, M. Castro, 2002, IBERAMIA.

Transcriptor ortográfico-fonético para el castellano

Salvador España Boquera, María José Castro Bleda, Andrés Marzal, 2001, Proces. del Leng. Natural.

The NoisyOffice Database: A Corpus To Train Supervised Machine Learning Filters For Image Processing

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2020, Comput. J..

Automatic Speech Segmentation Based on Acoustical Clustering

Emilio Sanchis Arnal, María José Castro Bleda, Jon Ander Gómez, 2010, SSPR/SPR.

A Template-based Recognition System for On-line Handwritten Characters

Sergio Martín, María José Castro Bleda, Andrés Marzal, 2009, J. Inf. Sci. Eng..

A system for assisted transcription and annotation of ancient documents

Juan Miguel Vilar, María José Castro Bleda, Francisco Zamora-Martínez, 2017, CBMI.

A Flexible System for Document Processing and Text Transcription

Albert Gordo, Juan Miguel Vilar, Salvador España Boquera, 2009, CAEPIA.

Uniclass and Multiclass Connectionist Classification of Dialogue Acts

Emilio Sanchis Arnal, María José Castro Bleda, David Vilar, 2003, CIARP.

Artificial Neural Networks and Linear Discriminant Analysis: A Valuable Combination in the Selection of New Antibacterial Compounds

María José Castro Bleda, Wladimiro Díaz Villanueva, Facundo Pérez-Giménez, 2004, J. Chem. Inf. Model..

Handwritten Text Normalization by using Local Extrema Classification

Salvador España Boquera, María José Castro Bleda, Jorge Gorbe-Moya, 2008, PRIS.

The SPARTACUS-Database: a Spanish Sentence Database for Offline Handwriting Recognition

Salvador España Boquera, María José Castro Bleda, José Luis Hidalgo, 2004, LREC.

The UJIpenchars Database: a Pen-Based Database of Isolated Handwritten Characters

Albert Gordo, Juan Miguel Vilar, Sergio Barrachina, 2008, LREC.

Long-short term memory neural networks language modeling for handwriting recognition

Volkmar Frinken, Horst Bunke, Salvador España Boquera, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Speech interaction in a multimodal tool for handwritten text transcription

Juan Miguel Vilar, Salvador España Boquera, María José Castro Bleda, 2011, ICMI '11.

Cache neural network language models based on long-distance dependencies for a spoken dialog system

Renato De Mori, Salvador España Boquera, María José Castro Bleda, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Comparative study of automatic phone segmentation methods for TTS

Jordi Adell, Antonio Bonafonte, María José Castro Bleda, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Adding Morphological Information to a Connectionist Part-Of-Speech Tagger

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2009, CAEPIA.

Improving Pattern Recognition Based Pharmacological Drug Selection Through ROC Analysis

Francesc J. Ferri, María José Castro Bleda, Wladimiro Díaz Villanueva, 2004, CIARP.

Improving a DTW-Based Recognition Engine for On-line Handwritten Characters by Using MLPs

Juan Miguel Vilar, Salvador España Boquera, María José Castro Bleda, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Drugs and Nondrugs: An Effective Discrimination with Topological Methods and Artificial Neural Networks

María José Castro Bleda, Wladimiro Díaz Villanueva, Facundo Pérez-Giménez, 2003, J. Chem. Inf. Comput. Sci..

Experiments on automatic drug activity characterization using support vector classification

Francesc J. Ferri, María José Castro Bleda, Wladimiro Díaz Villanueva, 2006, Computational Intelligence.

A combined Convolutional Neural Network and Dynamic Programming approach for text line normalization

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Handwriting recognition by using deep learning to extract meaningful features

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2019, AI Commun..

Prediction and Discrimination of Pharmacological Activity by Using Artificial Neural Networks

María José Castro Bleda, Wladimiro Díaz Villanueva, Pablo Aibar, 2003, IbPRIA.

Efficient Viterbi Algorithms for Lexical Tree Based Models

Salvador España Boquera, María José Castro Bleda, Jorge Gorbe-Moya, 2007, NOLISP.

Insights on the Use of Convolutional Neural Networks for Document Image Binarization

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2015, IWANN.

Geometric pattern recognition techniques for acoustic-phonetic decoding of Spanish continuous speech

Francisco Casacuberta, María José Castro Bleda, Pablo Aibar, 1995, EUROSPEECH.

Automatic Segmentation of Speech at the Phonetic Level

María José Castro Bleda, Jon Ander Gómez, 2002, SSPR/SPR.

Connectionist classification and specific stochastic models in the understanding process of a dialogue system

Emilio Sanchis Arnal, María José Castro Bleda, David Vilar, 2003, INTERSPEECH.

Hidden Markov Models for Understanding in a Dialogue System

Emilio Sanchis Arnal, María José Castro Bleda, Fernando Blat, 2004, CIARP.

esCam: A Mobile Application to Capture and Enhance Text Images

María José Castro Bleda, Joan Pastor-Pellicer, J. L. Adelantado-Torres, 2015, IWANN.

Holistic cursive word recognition based on perceptual features

María José Castro Bleda, José Ruiz-Pinales, René Jaime-Rivas, 2007, Pattern Recognit. Lett..

Handwriting Normalization by Zone Estimation Using HMM/ANNs

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Evaluating an e-Learning Experience Oriented towards Accessible Instruction

Félix Buendía, José-Vicente Benlloch, María José Castro Bleda, 2012, CSEDU.

Applying Sentiment Analysis with Cross-Domain Models to Evaluate User eXperience in Virtual Learning Environments

María José Castro Bleda, José-Ángel González, Rosario Sanchis-Font, 2019, IWANN.

Design and acquisition of a telephone spontaneous speech dialogue corpus in Spanish: DIHANA

Eduardo Lleida, María José Castro Bleda, Antonio Miguel, 2006, LREC.

Multi-label Text Classification Using Multinomial Models

Emilio Sanchis Arnal, María José Castro Bleda, David Vilar, 2004, EsTAL.

Neural Network Language Models for Translation with Limited Data

José A. R. Fonollosa, Salvador España Boquera, María José Castro Bleda, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Behaviour-Based Clustering of Neural Networks Applied to Document Enhancement

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2007, IWANN.

Unconstrained offline handwriting recognition using connectionist character N-grams

Salvador España Boquera, María José Castro Bleda, Jorge Gorbe-Moya, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Reconocimiento del habla mediante redes neuronales artificiales

María José Castro Bleda, 1997, Inteligencia Artif..

Recognition and Understanding Simulation for a Spoken Dialog Corpus Acquisition

David Griol, Encarna Segarra, Emilio Sanchis Arnal, 2007, TSD.

Enhancement and Cleaning of Handwritten Data by Using Neural Networks

Salvador España Boquera, María José Castro Bleda, José Luis Hidalgo, 2005, IbPRIA.

A Connectionist Approach to Part-Of-Speech Tagging

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2009, IJCCI.

Efficient BP Algorithms for General Feedforward Neural Networks

Salvador España Boquera, María José Castro Bleda, Jorge Gorbe-Moya, 2007, IWINAC.

Hybrid HMM/ANN Models for Bimodal Online and Offline Cursive Word Recognition

Salvador España Boquera, María José Castro Bleda, Jorge Gorbe-Moya, 2010, ICPR Contests.

A Hybrid Approach to Statistical Language Modeling with Multilayer Perceptrons and Unigrams

María José Castro Bleda, Fernando Blat, Joan-Andreu Sánchez, 2005, TSD.

Fast Evaluation of Connectionist Language Models

Salvador España Boquera, María José Castro Bleda, Francisco Zamora-Martínez, 2009, IWANN.

New Directions in Connectionist Language Modeling

María José Castro Bleda, Federico Prat, 2003, IWANN.

Dialogue Act Connectionist Detection in a Spoken Dialogue System

Emilio Sanchis Arnal, María José Castro Bleda, 2002, HIS.

A fast version of the atros system

Francisco Casacuberta, Encarna Segarra, Joan-Andreu Sánchez, 1999, EUROSPEECH.