You will be able to know “Arthur”, a unique realistic human-like robot, and share opportunities of collaboration in terms of research and applications associated to this interesting humanoid
Benemérita Universidad Autónoma de Puebla
Puebla de Zaragoza, México
Prof. David Pinto obtained his PhD in artificial intelligence and pattern recognition at the Polytechnic University of Valencia, Spain in 2008. At present he is a full time professor at the Faculty of Computer Science of the Benemérita Universidad Autónoma de Puebla (BUAP) leading the laboratory and PhD Program of Language & Knowledge Engineering. His areas of interest include clustering, information retrieval, crosslingual NLP tasks, computational linguistics, robotics, augmented reality, virtual reality, mobile devices and complexity theory.
He has written more than 100 papers and has developed research projects, whose products have been registered in the Mexican Institute of Industrial Property.
He has created various laboratories, being the last one, the Language & Knowledge Engineering Lab, visited by several national and international researchers for establishing collaboration in different topics of artificial intelligence.
Dr. Pinto has a humanoid named Arthur, a robot capable of listening, viewing, speaking, understanding, but more interesting, being able to show emotional expressions. This robot is being used for projects such as the following ones: language disorder treatment, behavioral disorders detection, and diagnostics of serious medical illness such as depression.
He is a very active researcher with duties in academia, but also performing other activities such as consulting and executing projects with direct application in industrial companies.
David Pinto Avendaño (BUAP). Emotions can be defined as a conscious experience that is associated with a particular pattern of physiological activity. They involve different components, such as subjective experience, cognitive processes, expressive behavior, psychophysiological changes, and instrumental behavior. Emotions are characterized by intense mental activity and a high degree of pleasure or displeasure which may be categorized in one of a wide number of possible emotional states such as happiness or sadness. In this talk we will discuss about emotional expressions of a realistic robot we have at our laboratoy of Language & Knowledge Engineering (with the presence of such Robot in the talk). But we will also, discuss about how expressions of this kind may influence in the process of interaction between humans and robots, therefore, the discussion will be in some way associated with HRI, as often referred to Human-Robot Interaction, which is a multidisciplinary field with contributions from human–computer interaction, artificial intelligence, robotics, natural language understanding, design, and social sciences.
Profesor Investigar Titular A
You will be able to know “Arthur”, a unique realistic human-like robot, and share opportunities of collaboration in terms of research and applications associated to this interesting humanoid
Mireya Tovar, David Pinto, Azucena Montes, Gabriel González, Darnes Vilariño
Ayala, Beatriz Beltrán: Use of Lexico-Syntactic Patterns for the Evaluation of Taxonomic
Relations. MCPR 2014: 331-340, 2014
Priego Sánchez Belém, David Pinto, Salah Mejri: Evaluating Polarity for Verbal
Phraseological Units. MICAI (1) 2014: 191-200, 2014
Helena Gómez-Adorno, David Pinto, Darnes Vilariño Ayala: A Question Answering
System for Reading Comprehension Tests. MCPR 2013: 354-363, 2013
Mireya Tovar, David Pinto, Azucena Montes, Darnes Vilariño Ayala: Determining the
Degree of Semantic Similarity Using Prototype Vectors.MCPR 2013: 364-373, 2013
David Pinto, Darnes Vilariño, Yuridiana Alemán, Helena Gómez, Nahun Loya and Héctor
Jiménez-Salazar. The Soundex Phonetic Algorithm Revisited for SMS Text Representation.
LNCS 7499, pp.47–55. 2012. Springer-Verlag, Berlín.
Darnes Vilariño, David Pinto, Beatriz Beltrán, Saúl León, Esteban Castillo, and Mireya
Tovar. A Machine-Translation Method for Normalization of SMS. MCPR 2012, LNCS
7329, pp. 293–302, 2012.
Darnes Vilariño Ayala, David Pinto, Saúl León Silverio, Esteban Castillo and Mireya Tovar
Vidal. BUAP: A Recursive Approach to the Data-Centric track of INEX 2011. LNCS 7424,
pp. 161–166, 2012.
Darnes Vilariño Ayala, David Pinto, Carlos Balderas, Mireya Tovar, Saul León: BUAP: A
First Approach to the Data-Centric Track of INEX 2010. LNCS 6932, Springer-Verlag:
219-226, 2011. DOI: 10.1007/978-3-642-23577-1_19
María Josefa Somodevilla García, Beatriz Beltrán, David Pinto, Darnes Vilariño Ayala,
José Cruz Aaron: The BUAP Participation at the Web Service Discovery Track of INEX
2010. LNCS 6932, Springer-Verlag: 347-350, 2011. DOI: 10.1007/978-3-642-23577-1_33
Mireya Tovar, Adrián Cruz, Blanca Vázquez, David Pinto, Darnes Vilariño Ayala, Azucena
Montes: An Iterative Clustering Method for the XML-Mining Task of the INEX 2010,
LNCS 6932, Springer-Verlag: 377-382, 2011, DOI: 10.1007/978-3-642-23577-1_36
Darnes Vilariño, David Pinto, Carlos Balderas, Mireya Tovar, Beatriz Beltrán, and Sofia
Paniagua: Use of Elliptic Curves in Term Discrimination. Advances in Pattern Recognition
(MCPR 2011), LNCS 6718, Springer-Verlag: 341–349, 2011
David Pinto, Darnes Vilariño, Carlos Balderas, Mireya Tovar, Beatriz Beltran: A Naïve
Bayes Approach to Cross-Lingual Word Sense Disambiguation and Lexical Substitution.
Advances in Pattern Recognition (MCPR 2010), LNCS 6256, Springer-Verlag: 352–361,
2010
Fernando Perez-Tellez, David Pinto, John Cardiff, Paolo Rosso: Clustering Weblogs on the
Basis of a Topic Detection Method. Advances in Pattern Recognition (MCPR 2010), LNCS
6256, Springer-Verlag: 342–351, 2010
Darnes Vilariño, David Pinto, Mireya Tovar, Carlos Balderas, Beatriz Beltran: A
Probabilistic Model Based on n-Grams for Bilingual Word Sense Disambiguation.
Advances in Artificial Intelligence (MICAI 2010), LNCS 6437, Springer-Verlag: 82–91,
2010
Antonio Juárez-González, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, David Pinto
Avendaño, Manuel Alberto Pérez-Coutiño: Selecting the N-Top Retrieval Result Lists for
an Effective Data Fusion. CICLing 2010: 580-589, 2010
Gabriela Ramírez-de-la-Rosa, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, David
Pinto Avendaño, Thamar Solorio: Using Information from the Target Language to Improve
Crosslingual Text Classification. IceTAL 2010: 305-313, 2010
David Pinto, Mireya Tovar, Darnes Vilariño, Beatriz Beltran, Héctor Jiménez-Salazar,
Basilia Campos:BUAP: Performance of K-Star at the INEX’09 Clustering Task. INEX
2009. LNCS 6203, Springer-Verlag: 434-440, 2010
David Pinto, Paolo Rosso, Héctor Jiménez-Salazar : On the Assessment of Text Corpora.
NLDB 2009. LNCS 5723, Springer-Verlag: 281-290, 2010
Fernando Perez-Tellez, David Pinto, John Cardiff, Paolo Rosso: Characterizing Weblog
Corpora. NLDB 2009. LNCS 5723, Springer-Verlag: 299-300, 2010
Rafael Guzmán-Cabrera, Paolo Rosso, Manuel Montes-y-Gómez, Luis Villaseñor Pineda,
David Pinto Avendaño: Semi-supervised Word Sense Disambiguation Using the Web as
Corpus. CICLing 2009: 256-265, 2009
Fernando Perez-Tellez, David Pinto, John Cardiff, Paolo Rosso: Improving the Clustering
of Blogosphere with a Self-term Enriching Technique. TSD 2009: 40-47, 2009
Diego Ingaramo, David Pinto, Paolo Rosso, Marcelo Errecalde: Evaluation of Internal
Validity Measures in Short-Text Corpora. CICLing 2008. Lecture Notes in Computer
Science 4919, Springer-Verlag: 555-567, 2008
David Pinto, Paolo Rosso: On the Relative Hardness of Clustering Corpora. TSD 2007.
Lecture Notes in Artificial Intelligence 4629, Springer-Verlag: 155-161, 2007
David Pinto, Alfons Juan, Paolo Rosso: Using Query-Relevant Documents Pairs for CrossLingual
Information Retrieval. TSD 2007. Lecture Notes in Artificial Intelligence 4629,
Springer-Verlag: 630-637, 2007
David Pinto, José-Miguel Benedí, Paolo Rosso: Clustering Narrow-Domain Short Texts by
Using the Kullback-Leibler Distance. CICLing 2007. Lecture Notes in Computer Science
4394, Springer-Verlag: 611-622, 2007
Eugene Levner, David Pinto, Paolo Rosso, David Alcaide, R. R. K. Sharma: Fuzzifying
Clustering Algorithms: The Case Study of MajorClust. MICAI 2007: 821-830, 2007
Franco Rojas López, Héctor Jiménez-Salazar, David Pinto: A Competitive Term Selection
Method for Information Retrieval. CICLing 2007. Lecture Notes in Computer Science
4394, Springer-Verlag: 468-475, 2007
David Pinto, Héctor Jiménez-Salazar, Paolo Rosso: Clustering Abstracts of Scientific Texts
Using the Transition Point Technique. CICLing 2006. Lecture Notes in Computer
Science 3878, Springer-Verlag:536-546, 2006
David Pinto, Paolo Rosso, Ernesto Jiménez: A Penalisation Based-Ranked Approach for
the Mixed Monolingual Task of WebCLEF 2006. CLEF 2006. Lecture Notes in Computer
Science 4730, Springer-Verlag: 826-829, 2006
Franco Rojas, Héctor Jiménez-Salazar, David Pinto: Vocabulary Reduction and Text
Enrichment at WebCLEF. CLEF 2006. Lecture Notes in Computer Science 4730, SpringerVerlag:
830-834, 2006
David Pinto, Héctor Jiménez-Salazar, Paolo Rosso, Emilio Sanchis: BUAP-UPV TPIRS: A
System for Document Indexing Reduction at WebCLEF. CLEF 2005: 873-879, 2005