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An active adaptation strategy for streaming time series classification based on elastic similarity measures

Oregi, Izaskun; Pérez, Aritz; Del Ser, Javier; Lozano, Jose A. (Springer Science and Business Media Deutschland GmbH, 2022-05-21)
article

A novel approach for the detection of anomalous energy consumption patterns in industrial cyber‐physical systems

Mendia, Izaskun; Gil‐Lopez, Sergio; Grau, Iñaki; Del Ser, Javier (John Wiley and Sons Ltd, 2022-02-25)
article

AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus

Zhou, Xi; Ye, Qinghao; Yang, Xiaolin; Chen, Jiakun; Ma, Haiqin; [et al.] (Springer Science and Business Media Deutschland GmbH, 2022-02-24)
article

Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives

Para, Jesus; Del Ser, Javier; Nebro, Antonio J. (Multidisciplinary Digital Publishing Institute (MDPI), 2022-01-29)
article

Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information

Huang, Jiahao; Ding, Weiping; Lv, Jun; Yang, Jingwen; Dong, Hao; [et al.] (Springer, 2022-01-28)
article

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

LaTorre, Antonio; Molina, Daniel; Osaba, Eneko; Poyatos, Javier; Del Ser, Javier; [et al.] (Elsevier B.V., 2021-12)
article

Rank Aggregation for Non-stationary Data Streams

Irurozki, Ekhine; Perez, Aritz; Lobo, Jesus; Del Ser, Javier (Springer, 2021-09-11)
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On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification

Barredo Arrieta, Alejandro; Gil-Lopez, Sergio; Laña, Ibai; Bilbao, Miren Nekane; Del Ser, Javier (Springer, 2021-08-06)
article

Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

Torre-Bastida, Ana I.; Díaz-de-Arcaya, Josu; Osaba, Eneko; Muhammad, Khan; Camacho, David; [et al.] (Springer, 2021-08-03)
article

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

Maciąg, Piotr S.; Kryszkiewicz, Marzena; Bembenik, Robert; L. Lobo, Jesus; Del Ser, Javier (Elsevier Ltd, 2021-07)
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An active adaptation strategy for streaming time series classification based on elastic similarity measures

A novel approach for the detection of anomalous energy consumption patterns in industrial cyber‐physical systems

AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus

Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives

Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

Rank Aggregation for Non-stationary Data Streams

On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification

Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

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An active adaptation strategy for streaming time series classification based on elastic similarity measures

A novel approach for the detection of anomalous energy consumption patterns in industrial cyber‐physical systems

AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus

Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives

Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

Rank Aggregation for Non-stationary Data Streams

On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification

Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks