Javier Diaz

Javier Diaz
ICESI University | ICESI · Departamento de Tecnologías de Información y Comunicaciones (TICs)

Phd Computer Science

About

32
Publications
15,524
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
310
Citations
Additional affiliations
January 2016 - present
ICESI University
Position
  • Professor (Assistant)
October 2004 - September 2008
Sorbonne Université
Position
  • PhD Student
Education
October 2011 - September 2013
Conservatoire National des Arts et Métiers
Field of study
  • Corporate Finance
October 2004 - September 2008
Université Pierre et Marie Curie (Paris VI - Sorbonne Universités), Paris, France
Field of study
  • Informatics,
October 2003 - September 2004
Université Pierre et Marie Curie (Paris VI - Sorbonne Universités), Paris, France
Field of study
  • Artificial Intelligence, Pattern Recognition and Applications

Publications

Publications (32)
Article
Full-text available
In data analysis, context information plays a significant role in enhancing the quality of the insight obtained. Furthermore, spatial analysis helps understand spatial relationships among entities. Nevertheless, findings of a comprehensive literature review show that the characterization of geographic areas based on user generated content, such as...
Article
Full-text available
Context information has become a significant asset to optimize the value obtained from information systems. Location is an important type of context information that refers to the place in which an event occurs. In business environments, the implementation of location-based analytics systems to aid decision making processes is of paramount importan...
Preprint
Full-text available
Electoral prediction from Twitter data is an appealing research topic. The article aims at inferring the results of 2019 Spanish Presidential elections analysing Tweets. It defines a specific political dictionnary to analyse the sentiment and the opinion of the messages posted during the campaign. Our predicting model compares the performance of 5...
Preprint
Full-text available
The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only their value, but also their limits. Predicting election results using Twitter data is an example of how data can directly influence the politic dom...
Preprint
Full-text available
The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only their value, but also their limits. Predicting election results using Twitter data is an example of how data can directly influence the politic dom...
Preprint
Full-text available
The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only their value, but also their limits. Predicting election results using Twitter data is an example of how data can directly influence the politic dom...
Article
We analyze financial transactions of corporate bank clients not only at the level of particular customers, but also at the level of communities of customers and a system as a whole. We first build a structure of communities using the Louvain method, which in turn allows us to estimate the profitability of each community. Then, we visualize the comm...
Article
Full-text available
Context: Colombia over the last decade has experienced a historic economic boom and Information Technology (IT) has been emerging as a tool to enable the competitiveness of companies. The last government (2014-2018) took different actions to explain how the use of data science and open data improve the business activity. The question to identify i...
Chapter
Separation anxiety in dogs is a common condition that is manifested by destructive behavior when dogs are left alone. The most successful treatment for canine separation-related problems requires dog’s behavior modification via a time consuming training. Moreover, this type of training needs a high commitment from the dog’s owner. Here, a canine we...
Research
Full-text available
We develop a Reinforcement Learning strategy to exploit a Machine Learning defense model for classifying Android Apps, and then we improve its robustness through Adversarial training. We also suggest an activity concerning the security of Machine Learning models against adversarial attacks in the evaluation phase of the CRISP-DM methodology.
Chapter
The authors describe the importance of music design for background instrumental music and the effect on task performance. Three instrumental music conditions that differ in tempo, articulation, mode, and musical meter were tested using a complex task scenario. The task was performed using a complicated web-interface that required users to focus the...
Conference Paper
Full-text available
Image classification is one of the most important tasks in computer vision, since it can be used to retrieve, store, organize, and analyze digital images. In recent years, deep learning convolutional neural networks have been successfully used to classify images surpassing previous state of the art performances. Moreover, using transfer learning te...
Article
El documento tiene como objetivo encontrar el mejor modelo jerárquico que permita proyectar la demanda total de gasolina corriente y por tanto el recaudo por sobretasa a la gasolina en Bogotá, Colombia, impuesto importante para el financiamiento de la malla vial y sistemas de transporte masivos. Para lograr este objetivo, se emplean datos de los ga...
Conference Paper
Full-text available
Parkinson's disease (PD) is the second most common neurodegenerative disorder. Changes in gait kinematics and its spatiotemporal features are hallmarks for the diagnosis of PD. Lower limbs movement analysis is intricate and usually requires a gait and biomechanics laboratory; these complex systems are not always available in the medical consultatio...
Presentation
Full-text available
Parkinson's disease (PD) is the second most common neurodegenerative disorder. Changes in gait kinematics and its spatiotemporal features are hallmarks for the diagnosis of PD. Lower limbs movement analysis is intricate and usually requires a gait and biomechanics laboratory; these complex systems are not always available in the medical consultatio...
Conference Paper
Android is one of the most used mobile operating system worldwide. Due to its technological impact, its open source code and the possibility of installing applications from third parties without any central control, Android has recently become a malware target. Even if it includes security mechanisms, the last news about malicious activities and An...
Conference Paper
Full-text available
Music affects the listener behavior and emotion, but this condition depends on variables of music design. In this regard, the present study aims to compare the emotional state, task load and performance under three different sound conditions determined by the tempo, articulation, mode, and metre of the songs. To achieve this end, we implemented a w...
Article
Context-aware recommender systems leverage the value of recommendations by exploiting context information that affects user preferences and situations, with the goal of recommending items that are really relevant to changing user needs. Despite the importance of context-awareness in the recommender systems realm, researchers and practitioners lack...
Conference Paper
In the retailing industry, recommendation systems analyze historical purchasing information with the purpose of predicting user product preferences. Nevertheless, despite the increasing use of these applications, their results still lack precision with respect to the real needs and preferences of customers. This is in part because the user’s purcha...
Article
Full-text available
The problem of fusing beliefs in the Dempster-Shafer belief theory has attracted consid- erable attention over the last two decades. The classical Dempster's Rule has often been criticised, and many alternative rules for belief fusion have been proposed in the literature. We show that it is crucial to consider the nature of the situation to be mode...
Article
Full-text available
ABSTRACT. In this paper, we present an application using the SUMMA-LSA platform developed by Baier, Lehnard, Hoffmann & Schneider (this volume). SUMMA-LSA was used to evaluate biology knowledge of 7th and 8th grades students dealing with The human body energy requirements . Student knowledge has been measured by means of classical and evidential mu...
Article
Full-text available
Dempster's Rule is commonly described as an operator for fusing beliefs. While there are different possible interpretations of belief fusion, there is considerable confusion regarding the exact type of belief fusion that Dempster's rule performs. Many alternative operators for belief fusion have been proposed, where some are based on the same funda...
Conference Paper
Full-text available
Multiple choice questions (MCQs) are the most common and computably tractable ways of assessing the knowledge of a student, but they restrain the students to express a precise answer that doesn’t really represent what they know, leaving no room for ambiguities or doubts. We propose Ev-MCQs (Evidential MCQs), an application of belief function theory...
Article
Full-text available
We propose the use of a knowledge based framework for diagnosis in which the knowledge base consists of particular instances of general hierarchical disorder models. We study how to select which manifestation (symptom, malfunction) to query in order to reduce a set of competing diagnosis hypotheses (disorders), none of them completely satisfying, c...
Article
Full-text available
One of the most common and computably tractable ways of evaluating the knowledge of a student is through the use of questionnaires with multiple choice questions (MCQ), where students must express a precise choice to answer a question, without leaving room for ambiguities or doubts. The problem is that sometimes the student doesn't really know the...
Conference Paper
Full-text available
We propose the use of a knowledge based framework for diagnosis in which the knowledge base consists of particular instances of general disorder models. We study how to select which manifestation (symptom, malfunction) to query in order to reduce a set of competing diagnosis hypotheses (disorders), none of them completely satisfying, considering on...
Conference Paper
Full-text available
A similarity measure between the focal elements used on a distance function of two basic belief assignments in the theory of evidence is presented, making way for the application of classical classification algorithms in this field. The properties of this measure are particular to its context, considering the characteristics of the focal elements,...

Network

Cited By

Projects

Projects (6)
Archived project
To be able to segment and characterize geographic areas according to geotagged text data shared by users. To identify prospect geographic areas where people show interest towards a selected group of goods and services.
Project
how data support city development and decision process