- Recommender Systems and Techniques
- Internet Traffic Analysis and Secure E-voting
- Smart Cities and Technologies
- E-Government and Public Services
- Sentiment Analysis and Opinion Mining
- Social Media and Politics
- Human Mobility and Location-Based Analysis
- Privacy, Security, and Data Protection
- Innovative Approaches in Technology and Social Development
- Complex Network Analysis Techniques
- Caching and Content Delivery
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Hate Speech and Cyberbullying Detection
- Ethics and Social Impacts of AI
- Big Data and Business Intelligence
- Digital Marketing and Social Media
- Opinion Dynamics and Social Influence
- Network Security and Intrusion Detection
- Cultural and political discourse analysis
- Mobile Crowdsensing and Crowdsourcing
- Rough Sets and Fuzzy Logic
- Mobile Health and mHealth Applications
- SARS-CoV-2 detection and testing
- Auction Theory and Applications
University of Fribourg
2015-2024
Lucerne University of Applied Sciences and Arts
2023-2024
Escuela Politécnica del Ejército
2015-2021
Universidad Técnica de Ambato
2019-2021
Universidad San Francisco de Quito
2019-2021
Instituto de Altos Estudios Nacionales
2019-2021
Escuela Superior Politecnica del Litoral
2019-2021
Universidad de Las Américas
2019-2021
National Polytechnic School
2021
Secretaría de Educación Superior, Ciencia, Tecnología e Innovación
2019-2020
Recommender systems are computer-based techniques mainly used on electronic business to reduce information overload and provide suggestions of products likely interest a user. This paper presents an ongoing research recommender applied eGovernment, particularly it is extension so-called voting advice applications (VAAs). Traditional VAAs recommendations political parties candidates focusing static profiles users, while the system architecture presented in this work proposes advanced approach...
In the latest years, a number of citizen movements and protests have spread across world. One characteristics such events is that demonstrations been aroused by use social networking channels as Twitter, Facebook, Whatsapp, among others. Different scholars are currently analyzing this phenomenon to better understand its impact on societies. Furthermore, Internet driver or tool for organizing different groups leaves traces changes addressed technology. Nevertheless, it important define ways...
Explainable deep learning (XDL) is a research field that aims to make predictions or classifications more understandable for humans. Literature shows (DL) algorithms are precise in terms of their prediction than traditional machine (ML) algorithms. Nevertheless, they lack the interpretability and explainability less complex fitted. Nowadays, one main goals XDL these highly explainable. There exist different systems techniques, but only limited on explaining neural networks using soft...
In this work, we present the complete blood count data and PCR test results of a population Ecuadorians from different provinces, primarily residing in Andean region, especially Quito. was standard to detect Covid-19 during pandemic since 2020. The were obtained between March 1st August 12th, 2021. Segurilab Previne Salud laboratories performed tests. dataset contains about 400 clinical cases. Each patient agreed participate study by sharing their (reverse transcription polymerase chain...
Social networks and communities have become an important environment for exchanging information about products, services, music, movies, among other things.In knowledge society, such technologies could also improve democratic processes, increase citizens' interest in political issues, enhance participation, renew civic engagement.However, the difficulty of finding citizens or parties that share common goals is still a barrier.In this paper, fuzzy-based recommender system architecture...
In the context of elections, Internet opens new and promising possibilities for parties candidates looking a better political strategy visibility. this way they can also organize their election campaign to gather funds, mobilize support, enter into direct dialogue with electorate. This paper presents an ongoing research recommender systems applied on e-government, particularly it is extension so-called voting advice applications (VAA's). VAA's are Web that support voters, providing relevant...
The investigation of conventional complete blood-count (CBC) data for classifying the SARS-CoV-2 infection status became a topic interest, particularly as complementary laboratory tool in developing and third-world countries that financially struggled to test their population. Although hematological parameters COVID-19-affected individuals from Asian USA populations are available, there no descriptions comparative analyses CBC findings between COVID-19 positive negative cases Latin American...
Dynamically developing digitization initiatives among public institutions and private companies necessitate a balanced approach to digital ethics. Several frameworks legal regulations have been adopted clarify define the various ethical challenges in contexts. These often accentuate one of three components: data security, governance, or strategy. However, an integrated is required meet current demand for sustainable digitalization address growing number occurring handling related peripheral...
Electronic payment methods, or ePayments, are frequently used by the private sector for eCommerce transactions buying and selling goods services offered through Internet. This term describes process needed to carry out supply chain without changing media channels. Mobile systems electronic cash have emerged as a quick safe opportunity, which draws high penetration use of cell phones payments in world. type method can also be extended implemented public administrations. In this paper, case...
The rapid increase of information on the Internet is currently a key issue when one looking for relevant information. At same time, in political sector, amount available about candidates and parties also increasing. This becoming significant problem voters they face election processes that require them to select their representatives from big list since, many cases, are relatively unknown constituents. Additionally, creation communities interested addressing issues hurdle yet overcome. In...