10 Result(s)
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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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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
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...
