Learning Locally Testable Languages in the Strict Sense. - Pedro García 001; Enrique Vidal 001; José Oncina (ALT, 1990)

An algorithm for finding nearest neighbours in constant average time with a linear space complexity. - Luisa Micó; José Oncina; Enrique Vidal 001 (ICPR (2), 1992)

Transducer learning in pattern recognition. - José Oncina; Pedro García 001; Enrique Vidal 001 (ICPR (2), 1992)

Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks. - José Oncina; Pedro García 001; Enrique Vidal 001 (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Learning Stochastic Regular Grammars by Means of a State Merging Method. - Rafael C. Carrasco; José Oncina (ICGI, 1994)

A new version of the nearest-neighbour approximating and eliminating search algorithm (AESA) with linear preprocessing time and memory requirements. - Luisa Micó; José Oncina; Enrique Vidal 001 (Pattern Recognit. Lett., 1994)

Identification of DFA: data-dependent vs data-independent algorithms. - Colin de la Higuera; José Oncina; Enrique Vidal 001 (ICGI, 1996)

Using domain information during the learning of a subsequential transducer. - José Oncina; Miguel Angel Varó (ICGI, 1996)

The Cocke-Younger-Kasami algorithm for cyclic strings. - José Oncina (ICPR, 1996)

A fast branch & bound nearest neighbour classifier in metric spaces. - Luisa Micó; José Oncina; Rafael C. Carrasco (Pattern Recognit. Lett., 1996)

The Data Driven Approach Applied to the OSTIA Algorithm. - José Oncina (ICGI, 1998)

Language understanding and subsequential transducer learning. - Antonio Castellanos; Enrique Vidal 001; Miguel Angel Varó; José Oncina (Comput. Speech Lang., 1998)

Comparison of fast nearest neighbour classifiers for handwritten character recognition. - Luisa Micó; José Oncina (Pattern Recognit. Lett., 1998)

Learning deterministic regular grammars from stochastic samples in polynomial time. - Rafael C. Carrasco; José Oncina (RAIRO Theor. Informatics Appl., 1999)

A Fast Approximately k -Nearest-Neighbour Search Algorithm for Classification Tasks. - Francisco Moreno-Seco; Luisa Micó; José Oncina (SSPR/SPR, 2000)

Stochastic Inference of Regular Tree Languages. - Rafael C. Carrasco; José Oncina; Jorge Calera-Rubio (Mach. Learn., 2001)

An approximate median search algorithm in non-metric spaces. - Luisa Micó; José Oncina (Pattern Recognit. Lett., 2001)

Inferring Deterministic Linear Languages. - Colin de la Higuera; José Oncina (COLT, 2002)

On Sufficient Conditions to Identify in the Limit Classes of Grammars from Polynomial Time and Data. - Colin de la Higuera; José Oncina (ICGI, 2002)

A Fast Approximated k-Median Algorithm. - Eva Gómez-Ballester; Luisa Micó; José Oncina (SSPR/SPR, 2002)

Extending LAESA Fast Nearest Neighbour Algorithm to Find the k Nearest Neighbours. - Francisco Moreno-Seco; Luisa Micó; José Oncina (SSPR/SPR, 2002)

Identification with Probability One of Stochastic Deterministic Linear Languages. - Colin de la Higuera; José Oncina (ALT, 2003)

Some Improvements in Tree Based Nearest Neighbour Search Algorithms. - Eva Gómez-Ballester; Luisa Micó; José Oncina (CIARP, 2003)

Approximate Nearest Neighbour Search with the Fukunaga and Narendra Algorithm and Its Application to Chromosome Classification. - Francisco Moreno-Seco; Luisa Micó; José Oncina (CIARP, 2003)

Extending Fast Nearest Neighbour Search Algorithms for Approximate k-NN Classification. - Francisco Moreno-Seco; Luisa Micó; José Oncina (IbPRIA, 2003)

A modification of the LAESA algorithm for approximated k-NN classification. - Francisco Moreno-Seco; Luisa Micó; José Oncina (Pattern Recognit. Lett., 2003)

Identifying Left-Right Deterministic Linear Languages. - Jorge Calera-Rubio; José Oncina (ICGI, 2004)

Learning Stochastic Finite Automata. - Colin de la Higuera; José Oncina (ICGI, 2004)

A New Classification Rule based on Nearest Neighbour Search. - Francisco Moreno-Seco; Luisa Micó; José Oncina (ICPR (4), 2004)

Testing Some Improvements of the Fukunaga and Narendra's Fast Nearest Neighbour Search Algorithm in a Spelling Task. - Eva Gómez-Ballester; Luisa Micó; José Oncina (IbPRIA (2), 2005)

Learning Multiplicity Tree Automata. - Amaury Habrard; José Oncina (ICGI, 2006)

Using Learned Conditional Distributions as Edit Distance. - José Oncina; Marc Sebban (SSPR/SPR, 2006)

Some approaches to improve tree-based nearest neighbour search algorithms. - Eva Gómez-Ballester; Luisa Micó; José Oncina (Pattern Recognit., 2006)

Learning stochastic edit distance: Application in handwritten character recognition. - José Oncina; Marc Sebban (Pattern Recognit., 2006)

A Tabular Pruning Rule in Tree-Based Fast Nearest Neighbor Search Algorithms. - José Oncina; Franck Thollard; Eva Gómez-Ballester; Luisa Micó; Francisco Moreno-Seco (IbPRIA (2), 2007)

Using Multiplicity Automata to Identify Transducer Relations from Membership and Equivalence Queries. - José Oncina (ICGI, 2008)

SEDiL: Software for Edit Distance Learning. - Laurent Boyer 002; Yann Esposito; Amaury Habrard; José Oncina; Marc Sebban (ECML/PKDD (2), 2008)

A Pruning Rule Based on a Distance Sparse Table for Hierarchical Similarity Search Algorithms. - Eva Gómez-Ballester; Luisa Micó; José Oncina (SSPR/SPR, 2008)

A Stochastic Approach to Median String Computation. - Cristian Olivares-Rodríguez; José Oncina (SSPR/SPR, 2008)

Experimental Analysis of Insertion Costs in a Naïve Dynamic MDF-Tree. - Luisa Micó; José Oncina (IbPRIA, 2009)

Optimum algorithm to minimize human interactions in sequential Computer Assisted Pattern Recognition. - José Oncina (Pattern Recognit. Lett., 2009)

A Constant Average Time Algorithm to Allow Insertions in the LAESA Fast Nearest Neighbour Search Index. - Luisa Micó; José Oncina (ICPR, 2010)

Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms. - Eva Gómez-Ballester; Luisa Micó; Franck Thollard; José Oncina; Francisco Moreno-Seco (SSPR/SPR, 2010)

Interactive Structured Output Prediction: Application to Chromosome Classification. - José Oncina; Enrique Vidal 001 (IbPRIA, 2011)

Finding the Most Probable String and the Consensus String: an Algorithmic Study. - Colin de la Higuera; José Oncina (IWPT, 2011)

Impact of the Initialization in Tree-Based Fast Similarity Search Techniques. - Aureo Serrano; Luisa Micó; José Oncina (SIMBAD, 2011)

A fast pivot-based indexing algorithm for metric spaces. - Raisa Socorro; Luisa Micó; José Oncina (Pattern Recognit. Lett., 2011)

Restructuring versus Non Restructuring Insertions in MDF Indexes. - Aureo Serrano; Luisa Micó; José Oncina (ICPRAM (1), 2012)

A log square average case algorithm to make insertions in fast similarity search. - Luisa Micó; José Oncina (Pattern Recognit. Lett., 2012)

Computing the Most Probable String with a Probabilistic Finite State Machine. - Colin de la Higuera; José Oncina (FSMNLP, 2013)

Which Fast Nearest Neighbour Search Algorithm to Use? - Aureo Serrano; Luisa Micó; José Oncina (IbPRIA, 2013)

Recognition of Pen-Based Music Notation: The HOMUS Dataset. - Jorge Calvo-Zaragoza; José Oncina (ICPR, 2014)

Dynamic Insertions in TLAESA Fast NN Search Algorithm. - Luisa Micó; José Oncina (ICPR, 2014)

The most probable string: an algorithmic study. - Colin de la Higuera; José Oncina (J. Log. Comput., 2014)

Clustering of Strokes from Pen-Based Music Notation: An Experimental Study. - Jorge Calvo-Zaragoza; José Oncina (IbPRIA, 2015)

Computing the Expected Edit Distance from a String to a PFA. - Jorge Calvo-Zaragoza; Colin de la Higuera; José Oncina (CIAA, 2016)

Music staff removal with supervised pixel classification. - Jorge Calvo-Zaragoza; Luisa Micó; José Oncina (Int. J. Document Anal. Recognit., 2016)

Recognition of pen-based music notation with finite-state machines. - Jorge Calvo-Zaragoza; José Oncina (Expert Syst. Appl., 2017)

Computing the Expected Edit Distance from a String to a Probabilistic Finite-State Automaton. - Jorge Calvo-Zaragoza; José Oncina; Colin de la Higuera (Int. J. Found. Comput. Sci., 2017)

Staff-line detection and removal using a convolutional neural network. - Jorge Calvo-Zaragoza; Antonio Pertusa; José Oncina (Mach. Vis. Appl., 2017)

An efficient approach for Interactive Sequential Pattern Recognition. - Jorge Calvo-Zaragoza; José Oncina (Pattern Recognit., 2017)

Adaptively Learning to Recognize Symbols in Handwritten Early Music. - Luisa Micó; José Oncina; José M. Iñesta (PKDD/ECML Workshops (2), 2019)