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Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs)

Gupta, Brij B.; Agrawal, Dharma P.; Sajjad, Muhammad; Sheng, Michael; Del Ser, Javier (Institute of Electrical and Electronics Engineers Inc., 2022-10)
article

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

Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions

Osaba, Eneko; Del Ser, Javier; Martinez, Aritz D.; Hussain, Amir (Springer, 2022-04-12)
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)
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Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs)

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

Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions

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

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Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs)

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

Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions

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