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2020 – today
- 2022
[j118]Javier Del Ser
, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives. Appl. Soft Comput. 118: 108526 (2022)- [j117]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Amir Hussain:
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions. Cogn. Comput. 14(3): 927-954 (2022) - [j116]Waseem Ullah, Amin Ullah, Tanveer Hussain, Khan Muhammad, Ali Asghar Heidari, Javier Del Ser, Sung Wook Baik, Victor Hugo C. de Albuquerque:
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data. Future Gener. Comput. Syst. 129: 286-297 (2022) - [j115]Chulin Wu, Heye Zhang, Jiaqi Chen, Zhifan Gao, Pengfei Zhang, Khan Muhammad, Javier Del Ser:
Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks. Future Gener. Comput. Syst. 130: 128-139 (2022) - [j114]Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang Yang:
Swin transformer for fast MRI. Neurocomputing 493: 281-304 (2022) - [j113]Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez:
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion 79: 263-278 (2022) - [j112]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82: 99-122 (2022) - [j111]Shuai Wang, Xinyu Liu, Shuai Liu, Khan Muhammad, Ali Asghar Heidari, Javier Del Ser, Victor Hugo C. de Albuquerque:
Human Short Long-Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities. IEEE Internet Things J. 9(10): 7128-7139 (2022) - [j110]Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser:
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification. Neural Comput. Appl. 34(13): 10257-10277 (2022) - [j109]Eneko Osaba, Javier Del Ser, Carlos Cotta, Pablo Moscato:
Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods. Swarm Evol. Comput. 70: 101047 (2022) - [j108]Aritz D. Martinez, Javier Del Ser, Eneko Osaba, Francisco Herrera:
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning. IEEE Trans. Evol. Comput. 26(2): 233-247 (2022) - [j107]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? IEEE Trans. Intell. Transp. Syst. 23(7): 6164-6188 (2022) - [c159]Tomas Cabezon Pedroso, Javier Del Ser, Natalia Díaz Rodríguez:
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. CD-MAKE 2022: 168-187 - [c158]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments. CD-MAKE 2022: 201-220 - [i56]Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang Yang:
Swin Transformer for Fast MRI. CoRR abs/2201.03230 (2022) - [i55]Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser:
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles. CoRR abs/2201.04968 (2022) - [i54]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR abs/2201.06505 (2022) - [i53]Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakuan Chen, Haiqin Ma, Jun Xia, Javier Del Ser, Guang Yang:
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus. CoRR abs/2202.00650 (2022) - [i52]Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera:
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks. CoRR abs/2202.03844 (2022) - [i51]Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang:
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. CoRR abs/2202.07422 (2022) - [i50]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? CoRR abs/2202.12174 (2022) - [i49]Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang:
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. CoRR abs/2203.05564 (2022) - [i48]Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Andreas Holzinger:
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. CoRR abs/2205.10232 (2022) - [i47]Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments. CoRR abs/2205.11184 (2022) - [i46]Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso, Javier Del Ser, David Casillas-Pérez, Christopher Kadow, Dusan Fister, David Barriopedro, Ricardo García-Herrera, Marcello Restelli, Matteo Giuliani, Andrea Castelletti:
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review. CoRR abs/2207.07580 (2022) - [i45]Tomas Cabezon Pedroso, Javier Del Ser, Natalia Díaz Rodríguez:
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. CoRR abs/2207.08989 (2022) - [i44]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Large-Kernel Attention for 3D Medical Image Segmentation. CoRR abs/2207.11225 (2022) - [i43]Helena Liz, Javier Huertas-Tato, Manuel Sánchez-Montañés, Javier Del Ser, David Camacho:
Deep learning for understanding multilabel imbalanced Chest X-ray datasets. CoRR abs/2207.14408 (2022) - [i42]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation. CoRR abs/2208.06038 (2022) - 2021
- [j106]Juan Antonio Guerra-Montenegro, Javier J. Sánchez Medina, Ibai Laña, David Sánchez-Rodríguez, Itziar G. Alonso-González, Javier Del Ser:
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges. Appl. Soft Comput. 102: 107082 (2021) - [j105]Khan Muhammad, Mohammad S. Obaidat, Tanveer Hussain, Javier Del Ser, Neeraj Kumar, Muhammad Tanveer, Faiyaz Doctor:
Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions. ACM Comput. Surv. 54(3): 68:1-68:33 (2021) - [j104]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: a cellular automaton for concept drift detection. Data Min. Knowl. Discov. 35(6): 2655-2678 (2021) - [j103]Salman Khan, Khan Muhammad, Tanveer Hussain, Javier Del Ser, Fabio Cuzzolin, Siddhartha Bhattacharyya, Zahid Akhtar, Victor Hugo C. de Albuquerque:
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments. Expert Syst. Appl. 182: 115125 (2021) - [j102]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. Inf. Fusion 67: 161-194 (2021) - [j101]Weiwei Zhang, Guang Yang, Nan Zhang, Lei Xu, Xiaoqing Wang, Yanping Zhang, Heye Zhang, Javier Del Ser, Victor Hugo C. de Albuquerque:
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis. Inf. Fusion 71: 64-76 (2021) - [j100]Ijaz Ul Haq, Khan Muhammad, Tanveer Hussain, Javier Del Ser, Muhammad Sajjad, Sung Wook Baik:
QuickLook: Movie summarization using scene-based leading characters with psychological cues fusion. Inf. Fusion 76: 24-35 (2021) - [j99]Tanveer Hussain, Khan Muhammad, Amin Ullah, Javier Del Ser, Amir H. Gandomi, Muhammad Sajjad, Sung Wook Baik, Victor Hugo C. de Albuquerque:
Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments. IEEE Internet Things J. 8(12): 9634-9644 (2021) - [j98]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular automata for drifting data streams. Inf. Sci. 543: 467-487 (2021) - [j97]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera:
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. Inf. Sci. 570: 577-598 (2021) - [j96]Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser:
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. Neural Networks 139: 118-139 (2021) - [j95]Ibai Laña, Javier J. Sánchez Medina, Eleni I. Vlahogianni, Javier Del Ser:
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability. Sensors 21(4): 1121 (2021) - [j94]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64: 100888 (2021) - [j93]Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Poyatos, Javier Del Ser, Francisco Herrera:
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. Swarm Evol. Comput. 67: 100973 (2021) - [j92]Alberto Diez-Olivan, Patxi Ortego, Javier Del Ser, Itziar Landa-Torres, Diego Galar, David Camacho, Basilio Sierra:
Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis Under Changing Conditions. IEEE Trans. Ind. Informatics 17(11): 7760-7770 (2021) - [j91]Muhammad Sajjad, Muhammad Irfan, Khan Muhammad, Javier Del Ser, Javier J. Sánchez Medina, Sergey Andreev, Weiping Ding, Jong Weon Lee:
An Efficient and Scalable Simulation Model for Autonomous Vehicles With Economical Hardware. IEEE Trans. Intell. Transp. Syst. 22(3): 1718-1732 (2021) - [j90]Khan Muhammad, Amin Ullah, Jaime Lloret, Javier Del Ser, Victor Hugo C. de Albuquerque:
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions. IEEE Trans. Intell. Transp. Syst. 22(7): 4316-4336 (2021) - [j89]Khan Muhammad, Salman Khan, Javier Del Ser, Victor Hugo C. de Albuquerque:
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey. IEEE Trans. Neural Networks Learn. Syst. 32(2): 507-522 (2021) - [c157]José Ramón Merino Bernaola, Iker Sobrón, Javier Del Ser, Iratxe Landa, Iñaki Eizmendi, Manuel Vélez:
Ensemble Learning for Seated People Counting using WiFi Signals: Performance Study and Transferability Assessment. GLOBECOM (Workshops) 2021: 1-6 - [c156]Alain Andres, Esther Villar-Rodriguez, Aritz D. Martinez, Javier Del Ser:
Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards. IJCNN 2021: 1-10 - [c155]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. IJCNN 2021: 1-8 - [c154]Jesus L. Lobo, Javier Del Ser, Eneko Osaba:
Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data Streams. ICDM (Workshops) 2021: 304-311 - [c153]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows. ITSC 2021: 1867-1874 - [c152]Ibai Laña, Izaskun Oregi, Javier Del Ser:
Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations. ITSC 2021: 3183-3189 - [c151]Ekhine Irurozki, Aritz Pérez, Jesus L. Lobo, Javier Del Ser:
Rank Aggregation for Non-stationary Data Streams. ECML/PKDD (3) 2021: 297-313 - [c150]Unai Armentia, Irantzu Barrio, Javier Del Ser:
Performance and Explainability of Reservoir Computing Models for Industrial Prognosis. SOCO 2021: 24-36 - [c149]Maria Arostegi, Diana Manjarres, Sonia Bilbao, Javier Del Ser:
Machine Learning Based Soft Sensing Tool for the Prediction of Leaf Wetness Duration in Precision Agriculture. SOCO 2021: 525-535 - [c148]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Antonio J. Nebro, Xin-She Yang:
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. SSCI 2021: 1-8 - [c147]Javier Del Ser, Eneko Osaba, Aritz D. Martinez, Miren Nekane Bilbao, Javier Poyatos, Daniel Molina, Francisco Herrera:
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems. SSCI 2021: 1-7 - [i41]Eneko Osaba, Aritz D. Martinez, Javier Del Ser:
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions. CoRR abs/2102.02558 (2021) - [i40]Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser:
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification. CoRR abs/2102.08634 (2021) - [i39]Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives. CoRR abs/2103.14624 (2021) - [i38]Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez:
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. CoRR abs/2104.00950 (2021) - [i37]Javier Torregrosa, Gema Bello Orgaz, Eugenio Martínez Cámara, Javier Del Ser, David Camacho:
A survey on extremism analysis using Natural Language Processing. CoRR abs/2104.04069 (2021) - [i36]Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan:
Evolutionary Multitask Optimization: Are we Moving in the Right Direction? CoRR abs/2111.14463 (2021) - [i35]Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang:
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information. CoRR abs/2112.05758 (2021) - 2020
- [j88]Eneko Osaba, Javier Del Ser, David Camacho, Miren Nekane Bilbao, Xin-She Yang:
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics. Appl. Soft Comput. 87: 106010 (2020) - [j87]Abdu Gumaei, Mohammad Mehedi Hassan, Md. Shamsul Huda, Md. Rafiul Hassan, David Camacho, Javier Del Ser, Giancarlo Fortino:
A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids. Appl. Soft Comput. 96: 106658 (2020) - [j86]Kelton A. P. da Costa, João P. Papa, Leandro A. Passos, Danilo Colombo, Javier Del Ser, Khan Muhammad, Victor Hugo C. de Albuquerque:
A critical literature survey and prospects on tampering and anomaly detection in image data. Appl. Soft Comput. 97(Part B): 106727 (2020) - [j85]Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera:
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. Cogn. Comput. 12(5): 897-939 (2020) - [j84]Ana Maria Nogareda, Javier Del Ser, Eneko Osaba, David Camacho:
On the design of hybrid bio-inspired meta-heuristics for complex multiattribute vehicle routing problems. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j83]Khan Muhammad, Salman Khan, Neeraj Kumar, Javier Del Ser, Seyedali Mirjalili:
Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges. Future Gener. Comput. Syst. 113: 266-280 (2020) - [j82]Marcus A. G. Santos, Roberto Muñoz, Rodrigo Olivares, Pedro Pedrosa Rebouças Filho, Javier Del Ser, Victor Hugo C. de Albuquerque:
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook. Inf. Fusion 53: 222-239 (2020) - [j81]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58: 82-115 (2020) - [j80]Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera:
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. Inf. Fusion 64: 205-237 (2020) - [j79]Eneko Osaba, Javier J. Sánchez Medina, Eleni I. Vlahogianni, Xin-She Yang, Antonio D. Masegosa, Joshué Pérez Rastelli, Javier Del Ser:
Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial]. IEEE Intell. Transp. Syst. Mag. 12(4): 6-9 (2020) - [j78]Eneko Osaba, Javier Del Ser, Andrés Iglesias, Xin-She Yang:
Soft Computing for Swarm Robotics: New Trends and Applications. J. Comput. Sci. 39 (2020) - [j77]Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and online learning: An overview and perspectives. Neural Networks 121: 88-100 (2020) - [j76]Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser:
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning. Neural Networks 123: 118-133 (2020) - [j75]Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano:
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences. Neural Networks 128: 61-72 (2020) - [j74]Josu Díaz-de-Arcaya, Raúl Miñón, Ana I. Torre-Bastida, Javier Del Ser, Aitor Almeida:
PADL: A Modeling and Deployment Language for Advanced Analytical Services. Sensors 20(23): 6712 (2020) - [j73]Patxi Ortego, Alberto Diez-Olivan, Javier Del Ser, Fernando Veiga, Mariluz Penalva, Basilio Sierra:
Evolutionary LSTM-FCN networks for pattern classification in industrial processes. Swarm Evol. Comput. 54: 100650 (2020) - [j72]Cristina Perfecto, Mohammed Saad ElBamby, Javier Del Ser, Mehdi Bennis:
Taming the Latency in Multi-User VR 360°: A QoE-Aware Deep Learning-Aided Multicast Framework. IEEE Trans. Commun. 68(4): 2491-2508 (2020) - [j71]Tanveer Hussain, Khan Muhammad, Javier Del Ser, Sung Wook Baik, Victor Hugo C. de Albuquerque:
Intelligent Embedded Vision for Summarization of Multiview Videos in IIoT. IEEE Trans. Ind. Informatics 16(4): 2592-2602 (2020) - [j70]Khan Muhammad, Tanveer Hussain, Javier Del Ser, Vasile Palade, Victor Hugo C. de Albuquerque:
DeepReS: A Deep Learning-Based Video Summarization Strategy for Resource-Constrained Industrial Surveillance Scenarios. IEEE Trans. Ind. Informatics 16(9): 5938-5947 (2020) - [j69]Javier Del Ser, Eneko Osaba, Javier J. Sánchez Medina, Iztok Fister Jr., Iztok Fister:
Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead. IEEE Trans. Intell. Transp. Syst. 21(2): 466-495 (2020) - [c146]Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization. CEC 2020: 1-8 - [c145]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. CEC 2020: 1-8 - [c144]Akemi Gálvez, Andrés Iglesias, Eneko Osaba, Javier Del Ser:
Bat Algorithm Method for Automatic Determination of Color and Contrast of Modified Digital Images. COMPSAC 2020: 1195-1200 - [c143]Akemi Gálvez, Eneko Osaba, Iztok Fister, Andrés Iglesias, Javier Del Ser, Iztok Fister Jr.:
Swarm Intelligence for Automatic Color and Contrast Retrieval of Digital Images of Paintings. CW 2020: 227-230 - [c142]Eneko Osaba, Aritz D. Martinez, Akemi Gálvez, Andrés Iglesias, Javier Del Ser:
dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems. GECCO Companion 2020: 1690-1696 - [c141]Eneko Osaba, Javier Del Ser, Xin-She Yang, Andrés Iglesias, Akemi Gálvez:
COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking. ICCS (5) 2020: 244-256 - [c140]Akemi Gálvez, Andrés Iglesias, Eneko Osaba, Javier Del Ser:
Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-adaptive Firefly Algorithm. ICCS (5) 2020: 566-579 - [c139]Mohammad Nasir, Ali Sadollah, Eneko Osaba, Javier Del Ser:
A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks. IDEAL (1) 2020: 64-76 - [c138]Eneko Osaba, Javier Del Ser, Xabier Jubeto, Andrés Iglesias, Iztok Fister Jr., Akemi Gálvez, Iztok Fister:
Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search. IDEAL (2) 2020: 79-91 - [c137]Izaskun Mendia, Sergio Gil-Lopez, Javier Del Ser, Iñaki Grau, Adelaida Lejarazu, Erik Maqueda, Eugenio Perea:
An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments. IDEAL (2) 2020: 92-103 - [c136]Iztok Fister, Dusan Fister, Andrés Iglesias, Akemi Gálvez, Eneko Osaba, Javier Del Ser, Iztok Fister Jr.:
Visualization of Numerical Association Rules by Hill Slopes. IDEAL (1) 2020: 101-111 - [c135]Patxi Ortego, Alberto Diez-Olivan, Javier Del Ser, Basilio Sierra:
Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks. IDEAL (2) 2020: 113-122 - [c134]Alejandro Barredo Arrieta, Javier Del Ser:
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. IJCNN 2020: 1-7 - [c133]Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser:
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. IJCNN 2020: 1-8 - [c132]Panagiotis Fafoutellis, Eleni I. Vlahogianni, Javier Del Ser:
Dilated LSTM Networks for Short-Term Traffic Forecasting using Network-Wide Vehicle Trajectory Data. ITSC 2020: 1-6 - [c131]Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser, Luis Rodriguez:
Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systems. ITSC 2020: 1-6 - [c130]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. ITSC 2020: 1-6 - [c129]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Ibai Laña, Javier Del Ser:
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking. ITSC 2020: 1-8 - [c128]Javier Del Ser, Ibai Laña, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni:
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment. ITSC 2020: 1-6 - [c127]Icíar Lloréns, Ricardo Alonso, Sergio Gil-Lopez, Sandra Riaño, Javier Del Ser:
A Novel Formulation for the Energy Storage Scheduling Problem in Solar Self-consumption Systems. SOCO 2020: 67-78 - [c126]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser:
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs. SSCI 2020: 768-774 - [i34]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular Automata for Drifting Data Streams. CoRR abs/2002.02164 (2020) - [i33]Ibai Lana, Javier J. Sánchez Medina, Eleni I. Vlahogianni, Javier Del Ser:
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability. CoRR abs/2002.02210 (2020) - [i32]Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera:
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations. CoRR abs/2002.08136 (2020) - [i31]Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
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