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Esaú Villatoro-Tello

Researcher at Universidad Autónoma Metropolitana

Publications -  76
Citations -  550

Esaú Villatoro-Tello is an academic researcher from Universidad Autónoma Metropolitana. The author has contributed to research in topics: Computer science & Ranking (information retrieval). The author has an hindex of 13, co-authored 67 publications receiving 465 citations. Previous affiliations of Esaú Villatoro-Tello include UAM Cuajimalpa & Idiap Research Institute.

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A Two-step Approach for Effective Detection of Misbehaving Users in Chats

TL;DR: This paper describes the system jointly developed by the Language Technologies Lab from INAOE and the Language and Reasoning Group from UAM for the Sexual Predators Identification task at the PAN 2012, and demonstrates that it is possible to train a classifier to learn those particular terms that turn a chat conversation into a case of online child exploitation.
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Determining and characterizing the reused text for plagiarism detection

TL;DR: A novel method for detecting likely portions of reused text that is able to detect common actions performed by plagiarists such as word deletion, insertion and transposition and represents the identified reused text by means of a set of features that denote its degree of plagiarism, relevance and fragmentation.
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Early detection of deception and aggressiveness using profile-based representations

TL;DR: Results reveal that PBRs achieve state of the art performance when using full-length documents, and that the proposed methodology outperforms previous work on early recognition of sexual predators by a considerable margin, while obtaining state-of-the-art performance in aggressive text identification.

INAOE's participation at PAN'13: Author Profiling task Notebook for PAN at CLEF 2013

TL;DR: In this paper, a second-order Bag-of-Terms representation for Author Profiling (AP) has been proposed to overcome the sparsity and high dimensionality of document representations and the assumption of total independence between terms in documents.
Proceedings ArticleDOI

On the Detection of SOurce COde Re-use

TL;DR: SOCO 2014 as mentioned in this paper focused on the detection of re-used source codes in C/C++ and Java programming languages, and participant systems were asked to annotate several source codes whether or not they represent cases of source code re-use.