Joan Vila‐Francés
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View article: An Agent-Based RAG Architecture for Intelligent Tourism Assistance: The Valencia Case Study
An Agent-Based RAG Architecture for Intelligent Tourism Assistance: The Valencia Case Study Open
The contemporary digital landscape overwhelms visitors with fragmented and dynamic information, complicating travel planning and often leading to decision paralysis. This paper presents a real-world case study on the design and deployment …
View article: An Agent-Based RAG Architecture for Intelligent Tourism Assistance: The Valencia Case Study
An Agent-Based RAG Architecture for Intelligent Tourism Assistance: The Valencia Case Study Open
The contemporary digital landscape overwhelms visitors with fragmented and dynamic information, complicating travel planning and often leading to decision paralysis. This paper presents a real-world case study on the design and deployment …
View article: Automated classification of oral cancer lesions: Vision transformers vs radiomics
Automated classification of oral cancer lesions: Vision transformers vs radiomics Open
The ViT classification surpassed the radiomics-based approach yet combining ViT with radiomics yielded similar results. However, the attention maps generated by ViT tend to associate oral lesions in cancer patients with regions distant fro…
View article: Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes: A Hybrid Approach Using Clustering and Isolation Forest
Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes: A Hybrid Approach Using Clustering and Isolation Forest Open
In the era of increasing digitalisation, organisations face the critical challenge of detecting anomalies in large volumes of data, which may indicate suspicious activities. To address this challenge, audit engagements are conducted regula…
View article: Automatic magnetic resonance imaging series labelling for large repositories
Automatic magnetic resonance imaging series labelling for large repositories Open
Large medical image repositories present challenges related to unstructured data. A data enrichment process allows the storage of additional information for fast identification of the content and properties of medical imaging studies. The …
View article: Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance
Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance Open
Predictive maintenance in manufacturing industry applications is a challenging research field. Packaging machines are widely used in a large number of logistic companies’ warehouses and must be working uninterruptedly. Traditionally, preve…
View article: Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras
Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras Open
In this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series in video format using a multimodal approach. Through pattern recognition algorithms and segmentation, informative…
View article: Beyond Words: Analyzing Emotions and Linguistic Characteristics to Detect Hoax-Related Tweets During Spanish Regional Elections
Beyond Words: Analyzing Emotions and Linguistic Characteristics to Detect Hoax-Related Tweets During Spanish Regional Elections Open
Detecting misinformation on social media, especially Twitter/X, is crucial during electoral periods. This study presents a comprehensive methodology using a Random Forest model to identify hoax-related tweets in the Spanish political lands…
View article: Verbal fluency in schizophrenia and bipolar disorder - A longitudinal, family study
Verbal fluency in schizophrenia and bipolar disorder - A longitudinal, family study Open
Verbal fluency (VF) has been proposed as a putative neurocognitive endophenotype in schizophrenia (SZ) and bipolar disorder (BD). However, this hypothesis has not been examined using a longitudinal family approach. We conducted a five-grou…
View article: Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes
Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes Open
In a context of a continuous digitalisation of processes, organisations must deal with the challenge of detecting anomalies that can reveal suspicious activities upon an increasing volume of data. To pursue this goal, audit engagements are…
View article: Multimodal video analysis for crowd anomaly detection using open access tourism cameras
Multimodal video analysis for crowd anomaly detection using open access tourism cameras Open
In this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series from video format using a multimodal approach. Through pattern recognition algorithms and segmentation, informati…
View article: Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance
Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance Open
Predictive maintenance in manufacturing industry applications is a challenging research field. Packaging machines are widely used in a large number of logistic companies' warehouses and must be working uninterruptedly. Traditionally, preve…
View article: Automatic magnetic resonance imaging series labelling for large repositories
Automatic magnetic resonance imaging series labelling for large repositories Open
Large medical image repositories present challenges related to unstructured data. A data enrichment process allows the storage of additional information for fast identification of the content and properties of medical imaging studies. The …
View article: Inflammation and weight change related to neurocognitive and functional impairment in diabetes and psychiatric disorders
Inflammation and weight change related to neurocognitive and functional impairment in diabetes and psychiatric disorders Open
Obesity is characterized by neurocognitive and functional impairments alongside low-grade systemic inflammation. Adiposity-related inflammatory biomarkers may contribute to neurocognitive and functional decline in individuals with T2DM and…
View article: Review of: "Exploding AI-Generated Deepfakes and Misinformation: A Threat to Global Concern in the 21st Century"
Review of: "Exploding AI-Generated Deepfakes and Misinformation: A Threat to Global Concern in the 21st Century" Open
View article: Automated Classification of Oral Cancer Lesions: Vision Transformers vs Radiomics
Automated Classification of Oral Cancer Lesions: Vision Transformers vs Radiomics Open
View article: Review of: "Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education"
Review of: "Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education" Open
Potential competing interests: No potential competing interests to declare.This article reviews and analyses the use of LLM and chatbots in education, acording to the title.However, it only focuses on LLM-based chatbots.The paper is very d…
View article: Text Characterisation for the Fight Against Political Misinformation
Text Characterisation for the Fight Against Political Misinformation Open
Social media increase the transmission of false news, hoaxes and opinions, misleading, manipulating and misinforming the population due to the speed at which information spreads. Currently there are different websites known as fact-checker…
View article: Review of: "Digital Persona: Reflection on the Power of Generative AI for Customer Profiling in Social Media Marketing"
Review of: "Digital Persona: Reflection on the Power of Generative AI for Customer Profiling in Social Media Marketing" Open
View article: Comparison between Machine Learning and Deep Learning Approaches for the Detection of Toxic Comments on Social Networks
Comparison between Machine Learning and Deep Learning Approaches for the Detection of Toxic Comments on Social Networks Open
The way we communicate has been revolutionised by the widespread use of social networks. Any kind of online message can reach anyone in the world almost instantly. The speed with which information spreads is undoubtedly the strength of soc…
View article: Empirical study of the modulus as activation function in computer vision applications
Empirical study of the modulus as activation function in computer vision applications Open
View article: Empirical study of the modulus as activation function in computer vision applications
Empirical study of the modulus as activation function in computer vision applications Open
In this work we propose a new non-monotonic activation function: the modulus. The majority of the reported research on nonlinearities is focused on monotonic functions. We empirically demonstrate how by using the modulus activation functio…
View article: Public stigma profile toward mental disorders across different university degrees in the University of Valencia (Spain)
Public stigma profile toward mental disorders across different university degrees in the University of Valencia (Spain) Open
Background A large proportion of studies carried out in recent years in different populations have shown that stigma toward mental disorders is highly prevalent. In the present study we conducted a comprehensive assessment of stigma to des…
View article: Online polarization and cross-fertilization in multi-cleavage societies: the case of Spain
Online polarization and cross-fertilization in multi-cleavage societies: the case of Spain Open
View article: Prediction of the risk of cancer and the grade of dysplasia in leukoplakia lesions using deep learning
Prediction of the risk of cancer and the grade of dysplasia in leukoplakia lesions using deep learning Open
The proposed model using deep learning can be a helpful tool for predicting the possible malignant evolution of oral leukoplakias. The generated heatmap provides a high confidence on the output of the model and enables its interpretability.
View article: Immune–Inflammatory Biomarkers Predict Cognition and Social Functioning in Patients With Type 2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: A 1-Year Follow-Up Study
Immune–Inflammatory Biomarkers Predict Cognition and Social Functioning in Patients With Type 2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: A 1-Year Follow-Up Study Open
Background Systemic, low-grade immune–inflammatory activity, together with social and neurocognitive performance deficits are a transdiagnostic trait of people suffering from type 2 diabetes mellitus (T2DM) and severe mental illnesses (SMI…
View article: Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders
Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders Open
Objective Obesity and metabolic diseases such as metabolic syndrome (MetS) are more prevalent in people with type 2 diabetes mellitus (T2DM), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). MetS components m…
View article: MICEmi: A method to identify cognitive endophenotypes of mental illnesses
MICEmi: A method to identify cognitive endophenotypes of mental illnesses Open
Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce …
View article: Transdiagnostic neurocognitive deficits in patients with type 2 diabetes mellitus, major depressive disorder, bipolar disorder, and schizophrenia: A 1-year follow-up study
Transdiagnostic neurocognitive deficits in patients with type 2 diabetes mellitus, major depressive disorder, bipolar disorder, and schizophrenia: A 1-year follow-up study Open
View article: End-to-end Keyword Spotting using Xception-1d
End-to-end Keyword Spotting using Xception-1d Open
The field of conversational agents is growing fast and there is an increasing need for algorithms that enhance natural interaction. In this work we show how we achieved state of the art results in the Keyword Spotting field by adapting and…