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Chapter and Conference Paper
Overcoming the Lack of Data to Improve Prediction and Treatment of Individuals with Autistic Spectrum Disorder and Attention Deficit Hyperactivity Disorder
The problem of lack of data remains a major drawback regardless of the continuous evolution of machine learning and deep learning models. This paper presents a modular and scalable architecture for the predict...
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Chapter and Conference Paper
New Trends in Machine Learning Techniques for Human Activity Recognition Using Multimodal Sensors
The ageing of today’s society, according to demographic and epidemiological data, presents a significant increase in the elderly population. Following the experienced pandemic, research in telemedicine to impr...
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Chapter and Conference Paper
Challenges and Opportunities for the Recognition of Human Activity in Supervised Flats
The scientific and technological evolution that has taken place in the field of human activity recognition, while enormous, is possibly only the tip of the iceberg of the possibilities that we are currently fa...
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Chapter and Conference Paper
A Model to Support the Prediction of Indicators in the Diagnosis and Intervention of Autism Spectrum Disorder
Autism Spectrum Disorder (ASD) is a developmental disability primarily characterized by challenges in social interaction and communication. Due to the unknown etiology of ASD, numerous computational psychiatr...
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Article
Open AccessImproving security in NoSQL document databases through model-driven modernization
NoSQL technologies have become a common component in many information systems and software applications. These technologies are focused on performance, enabling scalable processing of large volumes of structur...
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Chapter and Conference Paper
Improvement of a Sign Language Learning Reinforcement Tool Through Phonological Proximity
The study of sign languages (SL) has generated great interest in the fields of linguistics, computing and teaching. Teaching and learning SL are complex tasks, since they are rarely taught by people who are fl...
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Chapter and Conference Paper
Architecture Based on Machine Learning Techniques and Data Mining for Prediction of Indicators in the Diagnosis and Intervention of Autistic Spectrum Disorder
In the complex study to obtain indicators in the autism spectrum disorder it is very common to perform many and very complex tasks. Often, these tasks require the completion of a series of forms and surveys th...
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Chapter and Conference Paper
A Step Further in Sentiment Analysis Application in Marketing Decision-Making
Nowadays, firms have realized the importance of Big Data, highlighting the need for understanding the current state of marketing practice with respect to Big Data analytics. Among the different sources of Big ...
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Chapter and Conference Paper
Big Data-Assisted Word Sense Disambiguation for Sign Language
Automatic word sense disambiguation (WSD) from text is a task of great importance in various applications of natural language processing, for example, in machine translation, question answering, automatic summ...
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Chapter and Conference Paper
How the Conceptual Modelling Improves the Security on Document Databases
Big Data is becoming a prominent trend in our society. Ever larger amounts of data, including sensitive and personal information, are being loaded into NoSQL and other Big Data technologies for analysis and pr...
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Article
A framework for enriching Data Warehouse analysis with Question Answering systems
Business Intelligence (BI) applications allow their users to query, understand, and analyze existing data within their organizations in order to acquire useful knowledge, thus making better strategic decisions...
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Chapter and Conference Paper
Obtaining Key Performance Indicators by Using Data Mining Techniques
Currently dashboards are the preferred tool across organizations to monitor business performance. Dashboards are often composed by different data visualization techniques, amongst which Key Performance Indicat...
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Chapter and Conference Paper
Energy Consumption Prediction by Using an Integrated Multidimensional Modeling Approach and Data Mining Techniques with Big Data
During the past decades the resources have been used of an irresponsible and negligent manner. This has led to an increasing necessity of adopting more intelligent ways to manage the existing resources, specia...
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Chapter and Conference Paper
Integrating Logic Forms and Anaphora Resolution in the AliQAn System
This paper deals with the AliQAn QA system in the multilingual (English - Spanish) task. It highlights the translation module of the QA system by applying two methods: the first one based on logic forms, and t...
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Chapter and Conference Paper
Using AliQAn in Monolingual QA@CLEF 2008
This paper describes the participation of the system AliQAn in the CLEF 2008 Spanish monolingual QA task. This time, the main goals of the current version of AliQAn were to deal with topic-related questions an...
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Chapter and Conference Paper
Investigating the Best Configuration of HMM Spanish PoS Tagger when Minimum Amount of Training Data Is Available
One of the important processing steps for many natural language systems (information extraction, question answering, etc.) is Part-of-speech (PoS) tagging. This issue has been tackled with a number of differen...
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Chapter and Conference Paper
Pronominal Anaphora Generation in an English-Spanish MT Approach
This paper presents the pronominal anaphora generation module in a Machine Translation (MT) system. The MT interlingua approach -AGIR (Anaphora Generation with an Interlingua Representation) - allows the generati...
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Chapter and Conference Paper
IL MT System.Evaluation for Spanish-English Pronominal Anaphora Generation
In this paper the pronominal anaphora generation module of a complete interlingua Machine Translation (MT)approach is presented. The approach named AGIR (Anaphora Generation with an Interlingua Representation ...
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Chapter and Conference Paper
Generation of Spanish Zero-Pronouns into English
It is widely agreed that anaphora and ellipsis resolution is an important problem that is still to be solved in Natural Language Processing systems, such as Machine Translation and Information Extraction appli...
