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03/14/2023
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence
AI-based digital twins are at the leading edge of the Industry 4.0 revol...
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09/30/2022
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks
Research around Spiking Neural Networks has ignited during the last year...
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10/08/2020
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
Transfer Optimization is an incipient research area dedicated to the sim...
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09/21/2020
CURIE: A Cellular Automaton for Concept Drift Detection
Data stream mining extracts information from large quantities of data fl...
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05/11/2020
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking
Multitasking optimization is a recently introduced paradigm, focused on ...
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05/11/2020
On the Transferability of Knowledge among Vehicle Routing Problems by using a Cellular Evolutionary Multitasking
Multitasking optimization is a recently introduced paradigm, focused on ...
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04/17/2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment
In short-term traffic forecasting, the goal is to accurately predict fut...
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03/27/2020
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data
This work focuses on classification over time series data. When a time s...
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03/24/2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis
Multitasking optimization is an incipient research area which is lately ...
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02/06/2020
LUNAR: Cellular Automata for Drifting Data Streams
With the advent of huges volumes of data produced in the form of fast st...
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12/18/2019
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
In this work, we propose a novel OeSNN-UAD (Online evolving Spiking Neur...
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07/23/2019
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning
Stream data processing has gained progressive momentum with the arriving...
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07/23/2019