ListarRESULTADOS DE INVESTIGACIÓN por tema "machine learning"
Mostrando ítems 41-55 de 55
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Predicting ore content throughout a machine learning procedure – An Sn-W enrichment case study
(Journal of Geochemical Exploration, 01/2020)The distribution patterns of trace elements are very useful for predicting mineral deposits occurrence. Machine learning techniques were used for the computation of adequate models in trace elements' prediction. The main ... -
Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning
(AI and Society, 01/09/2019)Through the application of machine learning techniques, this paper aims to estimate the importance of messages with ideological load during the elections held in Spain on May 24th, 2015 posted by Twitter’s users, as well ... -
Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques
(Agriculture and environment perspectives in intelligent systems, 2019)Currently, due to the global shortage of water, the use of reclaimed water from the Wastewater Treatment Plants (WWTPs) for the irrigation of crops is an alternative in areas with water scarcity. However, the use of this ... -
Real-World Data and Machine Learning to Predict Cardiac Amyloidosis
(International journal of environmental research and public health, 2021)(1) Background: Cardiac amyloidosis or “stiff heart syndrome” is a rare condition that occurs when amyloid deposits occupy the heart muscle. Many patients suffer from it and fail to receive a timely diagnosis mainly ... -
Review: machine learning techniques applied to cybersecurity
(International Journal of Machine Learning and Cybernetics, 10/2019)Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization. In this work, the authors review ... -
Sentiment analysis methods for politics and hate speech contents in Spanish language: a systematic review
(IEEE Latin America Transactions, 2023)The political debate in social networks, and its derivatives such as hate speech, has surfaced at the top of the social agenda due to its impact on public opinion and, consequently, in the communication strategies of ... -
Service anomaly detection in dry bulk terminals: a machine learning approach
(International Journal of Shipping and Transport Logistics, 2023)Bulk terminals are complex environments due to a number of variables that affect terminal performance. Although the analysis of big datasets is destined to become an important component of terminal management, previous ... -
Supporting academic decision making at higher educational institutions using machine learning-based algorithms
(Soft Computing, 2018)Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ... -
The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak
(Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)The COVID-19 pandemic spread generated an urgent need for computational systems to model its behavior and support governments and healthcare teams to make proper decisions. There are not many cases of global pandemics in ... -
Towards the Grade’s Prediction. A Study of Different Machine Learning Approaches to Predict Grades from Student Interaction Data
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)There is currently an open problem within the field of Artificial Intelligence applied to the educational field, which is the prediction of students’ grades. This problem aims to predict early school failure and dropout, ... -
Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies
(Expert systems with applications, 2021)Education and employment are key aspects of a country's well-being. Governments expend valuable resources on designing education plans and employment programs. These two aspects are usually analysed separately, although, ... -
Usage of machine learning for strategic decision making at Higher Educational Institutions
(IEEE Access, 2019)Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that the institutions make as a whole. Decision's structures at HEIs are depicted in this paper and ... -
Using Customer Knowledge Surveys to Explain Sales of Postgraduate Programs: A Machine Learning Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)Universities collect information from each customer that contacts them through their websites and social media profiles. Customer knowledge surveys are the main information-gathering tool used to obtain this information ... -
Using the Statistical Machine Learning Models ARIMA and SARIMA to Measure the Impact of Covid-19 on Official Provincial Sales of Cigarettes in Spain
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)From a public health perspective, tobacco use is addictive by nature and triggers several cancers, cardiovascular and respiratory diseases, reproductive disorders, and many other adverse health effects leading to many ... -
Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019
(Vaccines, 01/2021)Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the World Health Organisation. Nowadays, social media has an important role in the spread of information, misinformation, and ...