259 Result(s)
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Chapter and Conference Paper
Establishing the Foundation for Out-of-Distribution Detection in Monument Classification Through Nested Dichotomies
This paper introduces a hierarchical approach utilizing nested dichotomies to enhance the MonuMAI framework designed for architectural image classification. The study focuses on developing a foundational layer...
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Chapter and Conference Paper
A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning
Realising a general purpose artificial intelligence is an ambitious goal. To do this, new techniques, especially in an open-world context where new tasks may appear, are to be developed to deal with the dynami...
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Article
Consensus Reaching with Dynamic Trust Relationships and Cost-Learning in Group Decision Making
In group decision making (GDM), consensus reaching process (CRP) is a very effective tool for decision makers to reach cooperative agreements. Generally, decision makers need to modify their preferences to rea...
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Article
Open AccessSmart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Differences in data size per class, also known as imbalanced data distribution, have become a common problem affecting data quality. Big Data scenarios pose a new challenge to traditional imbalanced classifica...
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Article
Open AccessMetric learning for monotonic classification: turning the space up to the limits of monotonicity
This paper presents, for the first time, a distance metric learning algorithm for monotonic classification. Monotonic datasets arise in many real-world applications, where there exist order relations in the in...
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Chapter and Conference Paper
Toward Responsible Artificial Intelligence Systems: Safety and Trustworthiness
This short paper associated to the invited lectures introduces two key concepts essential to artificial intelligence (AI), the area of trustworthy AI and the concept of responsible AI systems, fundamental to u...
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Article
Rechargeable sodium-ion battery based on a cathode of copper hexacyanoferrate
In this work, the performance of copper (II) hexacyanoferrate(III) (CuHCF) as a cathode material for sodium-ion batteries was studied. The compound was synthesized by a precipitation reaction in aqueous soluti...
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Chapter and Conference Paper
Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses
Anomaly detection is a crucial task in various domains such as finance, cybersecurity or medical diagnosis. The demand for interpretability and explainability in model decisions has revived the use of traceabl...
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Chapter and Conference Paper
Optimizing LIME Explanations Using REVEL Metrics
Explainable artificial intelligence (XAI) has emerged as a crucial topic in the field of machine learning to provide insights into the reasoning performed by artificial intelligence (AI) systems. However, the ...
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Article
Open AccessSentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning
Land-Use and Land-Cover (LULC) mapping is relevant for many applications, from Earth system and climate modelling to territorial and urban planning. Global LULC products are continuously developing as remote s...
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Article
Open AccessCourse Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns
To provide a good study plan is key to avoid students’ failure. Academic advising based on student’s preferences, complexity of the semester, or even background knowledge is usually considered to reduce the dr...
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Chapter and Conference Paper
Action Recognition for Anomaly Detection Using Transfer Learning and Deep Architectures
video surveillance is an emerging research area, where a huge number of publications are appearing everyday. However, there is still much room for improvements, since results of state-of-the-art are still lim...
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Chapter and Conference Paper
Personalised Federated Learning with BERT Fine Tuning. Case Study on Twitter Sentiment Analysis
learning is a machine learning approach where many clients jointly train a model under the orchestration of a central server, while keeping the data sequestered on the clients. It allows to preserve data priv...
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Chapter and Conference Paper
A Preliminary Approach for using Metric Learning in Monotonic Classification
The purpose of this paper is to introduce, for the first time, a distance metric learning algorithm for monotonic classification. Monotonic classification is performed on labeled data in which both input and o...
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Article
CURIE: a cellular automaton for concept drift detection
Data stream mining extracts information from large quantities of data flowing fast and continuously (data streams). They are usually affected by changes in the data distribution, giving rise to a phenomenon re...
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Article
Ordinal regression with explainable distance metric learning based on ordered sequences
The purpose of this paper is to introduce a new distance metric learning algorithm for ordinal regression. Ordinal regression addresses the problem of predicting classes for which there is a natural ordering, ...
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Article
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
The17 Sustainable Development Goals (SDGs) established by the United Nations Agenda 2030 constitute a global blueprint agenda and instrument for peace and prosperity worldwide. Artificial intelligence and othe...
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Article
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect
Data Science and Machine Learning have become fundamental assets for companies and research institutions alike. As one of its fields, supervised classification allows for class prediction of new samples, learn...
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Article
Changes in the spectroelectrochemical properties of copper(II) hexacyanoferrate(III) during electrochemical insertion of alkaline ions
In this work, the influence of the electrochemical insertion of different alkali ions, e.g., lithium, sodium, and potassium, on the electrochromic properties of copper(II) hexacyanoferrate(III) (CuHCF) was add...
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Article
Photo-assisted charge/discharge of a secondary cell of α-Fe2O3/Prussian blue–based electrodes
In this work, an assembly of FTO/α-Fe2O3/PB|M+ electrolyte|PB/α-Fe2O3/FTO (M+ = Li+, Na+, K+) secondary photocell was done to improve the charge capacity in the presence of illumination. Our previous results with...