Juan C. Burguillo
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View article: Identification and explanation of disinformation in Wiki data streams
Identification and explanation of disinformation in Wiki data streams Open
Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness and a…
View article: Unraveling Emotions With Pre-Trained Models
Unraveling Emotions With Pre-Trained Models Open
Transformer models have significantly advanced the field of emotion recognition. However, there are still open challenges when exploring open-ended queries for Large Language Models (llms). Although current models offer good results, autom…
View article: Exposing and explaining fake news on-the-fly
Exposing and explaining fake news on-the-fly Open
Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data. Consequently, the latter crowdsourcing model is exposed t…
View article: Emotional Evaluation of Open-Ended Responses with Transformer Models
Emotional Evaluation of Open-Ended Responses with Transformer Models Open
This work applies Natural Language Processing (NLP) techniques, specifically transformer models, for the emotional evaluation of open-ended responses. Today’s powerful advances in transformer architecture, such as ChatGPT, make it possible…
View article: Online Detection and Infographic Explanation of Spam Reviews with Data Drift Adaptation
Online Detection and Infographic Explanation of Spam Reviews with Data Drift Adaptation Open
Spam reviews are a pervasive problem on online platforms due to its significant impact on reputation. However, research into spam detection in data streams is scarce. Another concern lies in their need for transparency. Consequently, this …
View article: Towards adaptive and transparent tourism recommendations: A survey
Towards adaptive and transparent tourism recommendations: A survey Open
Crowdsourced data streams are popular and extremely valuable in several domains, namely in tourism. Tourism crowdsourcing platforms rely on past tourist and business inputs to provide tailored recommendations to current users in real time.…
View article: Network intrusion detection system for DDoS attacks in ICS using deep autoencoders
Network intrusion detection system for DDoS attacks in ICS using deep autoencoders Open
Anomaly detection in industrial control and cyber-physical systems has gained much attention over the past years due to the increasing modernisation and exposure of industrial environments. Current dangers to the connected industry include…
View article: Interpretable Classification of Wiki-Review Streams
Interpretable Classification of Wiki-Review Streams Open
Wiki articles are created and maintained by a crowd of editors, producing a continuous stream of reviews. Reviews can take the form of additions, reverts, or both. This crowdsourcing model is exposed to manipulation since neither reviews n…
View article: Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly
Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly Open
Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge and classifications. It typically processes user-generated…
View article: Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma
Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma Open
Home assistant chat-bots, self-driving cars, drones or automated negotiation systems are some of the several examples of autonomous (artificial) agents that have pervaded our society. These agents enable the automation of multiple tasks, s…
View article: Probabilistic memory-one strategies to dominate the iterated prisoner’s dilemma over networks
Probabilistic memory-one strategies to dominate the iterated prisoner’s dilemma over networks Open
The Iterated Prisoner's Dilemma (IPD) has been a classical game theoretical scenario used to model behaviour interactions among agents. From the famous Axelrod's tournament, and the successful results obtained by the Tit for Tat strategy, …
View article: Explanation Plug-In for Stream-Based Collaborative Filtering
Explanation Plug-In for Stream-Based Collaborative Filtering Open
Collaborative filtering is a widely used recommendation technique, which often relies on rating information shared by users, i.e., crowdsourced data. These filters rely on predictive algorithms, such as, memory or model based predictors, t…
View article: Stream-based explainable recommendations via blockchain profiling
Stream-based explainable recommendations via blockchain profiling Open
Explainable recommendations enable users to understand why certain items are suggested and, ultimately, nurture system transparency, trustworthiness, and confidence. Large crowdsourcing recommendation systems ought to crucially promote aut…
View article: Delegation to autonomous agents promotes cooperation in collective-risk dilemmas
Delegation to autonomous agents promotes cooperation in collective-risk dilemmas Open
Home assistant chat-bots, self-driving cars, drones or automated negotiations are some of the several examples of autonomous (artificial) agents that have pervaded our society. These agents enable the automation of multiple tasks, saving t…
View article: Crowdsourced Data Stream Mining for Tourism Recommendation
Crowdsourced Data Stream Mining for Tourism Recommendation Open
Crowdsourced data streams are continuous flows of data generated at high rate by users, also known as the crowd. These data streams are popular and extremely valuable in several domains. This is the case of tourism, where crowdsourcing pla…
View article: Timing uncertainty in collective risk dilemmas encourages group reciprocation and polarization
Timing uncertainty in collective risk dilemmas encourages group reciprocation and polarization Open
Social dilemmas are often shaped by actions involving uncertain returns only achievable in the future, such as climate action or voluntary vaccination. In this context, uncertainty may produce non-trivial effects. Here, we assess experimen…
View article: Responsible processing of crowdsourced tourism data
Responsible processing of crowdsourced tourism data Open
Online tourism crowdsourcing platforms, such as AirBnB, Expedia or TripAdvisor, rely on the continuous data sharing by tourists and businesses to provide free or paid value-added services. When adequately processed, these data streams can …
View article: TQ-Bot: An AIML-based Tutor and Evaluator Bot
TQ-Bot: An AIML-based Tutor and Evaluator Bot Open
Intelligent Tutoring Systems are computer programs that aim at providing personalized instruction to students. In recent years, conversational robots, usually known as chatterbots, become very popular in the Internet, and ALICE (Artificial…
View article: A 2020 perspective on “Online guest profiling and hotel recommendation”: Reliability, Scalability, Traceability and Transparency
A 2020 perspective on “Online guest profiling and hotel recommendation”: Reliability, Scalability, Traceability and Transparency Open
Tourism crowdsourcing platforms accumulate and use large volumes of feedback data on tourism-related services to provide personalized recommendations with high impact on future tourist behavior. Typically, these recommendation engines buil…
View article: A 2020 perspective on “Scalable modelling and recommendation using wiki-based crowdsourced repositories:” Fairness, scalability, and real-time recommendation
A 2020 perspective on “Scalable modelling and recommendation using wiki-based crowdsourced repositories:” Fairness, scalability, and real-time recommendation Open
Wiki-based crowdsourced data sources generally lack reliability, as their provenance is not intrinsically marshalled. By using recommendation, one may arguably assess the reliability of wiki-based repositories in order to identify the most…
View article: Delegation to autonomous agents promotes cooperation in collective-risk dilemmas
Delegation to autonomous agents promotes cooperation in collective-risk dilemmas Open
Home assistant chat-bots, self-driving cars, drones or automated negotiations are some of the several examples of autonomous (artificial) agents that have pervaded our society. These agents enable the automation of multiple tasks, saving t…
View article: Time Series Prediction Using Coalitions and Self-organizing Maps
Time Series Prediction Using Coalitions and Self-organizing Maps Open
In this chapter we consider the Time Series Prediction problem (TSP), and the use of Self-organizing Maps (SOM) as the basic neural network model to apply. We conduct a topology-based TSP performance analysis, based on extensive numerical …
View article: Cellular Automata
Cellular Automata Open
A basic Cellular Automata (CA) is a regular grid of cells (a lattice), each one having a finite number of states [10] (i.e., a finite state machine). Every cell, also denoted as cellular automaton, has a defined neighborhood to interact wi…
View article: Complex Networks
Complex Networks Open
A complex network is a structure made up of nodes connected by one or more specific types of interdependency. Nodes represent individuals, groups, or organizations, while connections (links, edges or ties) represent relations such as frien…
View article: Self-organization
Self-organization Open
Many natural systems work based on local interactions among their component entities, and some of them are described as self-organized (selforg). This term usually refers to a system that is able to change its internal organization in orde…