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A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery
Process discovery algorithms discover process models from event logs recorded from the real-life processes. Traditional process discovery algorithms...
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ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data
E-commerce companies have an inevitable need in employing recommender systems in order to enhance the user experience, increase customer...
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Toward Explaining Competitive Success in League of Legends: A Machine Learning Analysis
Machine learning techniques have recently transformed the way we analyze competitive games. However, accurately detecting the impact of different...
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Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles
This paper addresses persistent monitoring challenges in Lake Ypacaraí, Paraguay, a crucial hydrological resource facing issues of eutrophication and...
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Community-Based Topic Modeling with Contextual Outlier Handling
E-commerce has become an essential aspect of modern life, providing consumers globally with convenience and accessibility. However, the high volume...
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Exploring the Use of LLMs for Teaching AI and Robotics Concepts at a Master’s Degree
This article explores the use of Large Language Models (LLM) as transformative tools for teaching Artificial Intelligence (AI) and Robotics concepts...
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Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards
RGB-D cameras mounted on moving agricultural robotic platforms provide detailed information about both appearance and volume of plants. Those images...
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Driven PCTBagging: Seeking Greater Discriminating Capacity for the Same Level of Interpretability
The partial consolidated tree bagging (PCTBagging) was presented as a multiple classifier that, based on a parameter, the consolidation percentage,...
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Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains
This comprehensive review explores the rapidly advancing field of Spiking Neural Networks (SNNs), particularly emphasizing their computational...
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Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction
This paper contributes with an alternative to the multivariate Analogue Method (AM) version, using a preprocessing stage carried out by an...
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Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models
Unsupervised time series anomaly detection is a common tasks in many real world problems, in which the normal/anomaly labels are extremely...
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O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification
Time Series Ordinal Classification (TSOC) is a yet unexplored field with a substantial projection in following years given its applicability to...
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An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines
Quantum computing holds great promise for enhancing machine learning algorithms, particularly by integrating classical and quantum techniques. This...
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Special TNFS-Secure Pairings on Ordinary Genus 2 Hyperelliptic Curves
Pairings on genus 2 hyperelliptic curves are believed to be far less efficient compared to elliptic curve ones. The main reason is the structure of...
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Side-Channel Analysis of Arithmetic Encodings for Post-Quantum Cryptography: Cautionary Notes with Application to Kyber
The unprotected implementations of Kyber and Dilithium have recently been shown to offer a variety of side-channel attack paths. These attacks have...
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On the Generalizations of the Rank Metric over Finite Chain Rings
The rank metric over finite fields has received a lot of attention these last decades. Several works propose generalizations of this metric to finite...
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Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views
In cardiovascular magnetic resonance (CMR), typical acquisitions often involve a limited number of short and long axis slices. However,...
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Deep Learning-Based Pulmonary Artery Surface Mesh Generation
Properties of the pulmonary artery play an essential role in the diagnosis and treatment planning of diseases such as pulmonary hypertension....
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A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIs
Atrial segmentation from late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) provides essential information for patient stratification and...
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Temporal Super-Resolution for Fast T1 Map**
Cardiac T1 map** can provide important biomarkers for many cardiovascular diseases. However, the acquisition time of the T1 map** sequence is...