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ORCIDJavier Del Ser
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2020 – today
- 2021
[j102]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)- [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular automata for drifting data streams. Inf. Sci. 543: 467-487 (2021) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [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) - [i39]Eneko Osaba, Aritz D. Martinez, Javier Del Ser:
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions. CoRR abs/2102.02558 (2021) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - 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:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization. CoRR abs/2002.12133 (2020) - [i30]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. CoRR abs/2003.10768 (2020) - [i29]Alejandro Barredo Arrieta, Javier Del Ser:
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. CoRR abs/2003.11323 (2020) - [i28]Eneko Osaba, Javier Del Ser, Xin-She Yang, Andrés Iglesias, Akemi Gálvez:
COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking. CoRR abs/2003.11628 (2020) - [i27]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. CoRR abs/2003.14304 (2020) - [i26]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. CoRR abs/2004.06559 (2020) - [i25]Javier Del Ser, Ibai Lana, 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. CoRR abs/2004.08170 (2020) - [i24]Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics. CoRR abs/2004.09969 (2020) - [i23]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. CoRR abs/2005.05066 (2020) - [i22]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. CoRR abs/2005.05069 (2020) - [i21]Mostafa Shahriari, David Pardo, J. A. Rivera, Carlos Torres-Verdín, Artzai Picón, Javier Del Ser, S. Ossandón, Victor M. Calo:
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements. CoRR abs/2005.08868 (2020) - [i20]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. CoRR abs/2008.03620 (2020) - [i19]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: A Cellular Automaton for Concept Drift Detection. CoRR abs/2009.09677 (2020) - [i18]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser:
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs. CoRR abs/2009.14477 (2020) - [i17]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. CoRR abs/2010.03917 (2020) - [i16]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? CoRR abs/2012.02260 (2020)
2010 – 2019
- 2019
- [j68]Iztok Fister, Andrés Iglesias, Akemi Gálvez, Javier Del Ser, Eneko Osaba, Iztok Fister Jr., Matjaz Perc, Mitja Slavinec:
Novelty search for global optimization. Appl. Math. Comput. 347: 865-881 (2019) - [j67]María Jesús García-Godoy, Esteban López-Camacho, José García-Nieto, Javier Del Ser, Antonio J. Nebro, José Francisco Aldana Montes:
Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives. Appl. Soft Comput. 79: 30-45 (2019) - [j66]Jesus Para, Javier Del Ser, Antonio J. Nebro, Urko Zurutuza, Francisco Herrera:
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0. Eng. Appl. Artif. Intell. 82: 30-43 (2019) - [j65]Alberto Diez-Olivan, Javier Del Ser, Diego Galar, Basilio Sierra:
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0. Inf. Fusion 50: 92-111 (2019) - [j64]Andoni Elola, Elisabete Aramendi, Unai Irusta, Javier Del Ser, Erik Alonso, Mohamud Daya:
ECG-based pulse detection during cardiac arrest using random forest classifier. Medical Biol. Eng. Comput. 57(2): 453-462 (2019) - [j63]Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano:
On-line Elastic Similarity Measures for time series. Pattern Recognit. 88: 506-517 (2019) - [j62]Carlos Camacho-Gómez, Silvia Jiménez-Fernández, R. Mallol-Poyato, Javier Del Ser, Sancho Salcedo-Sanz:
Optimal design of Microgrid's network topology and location of the distributed renewable energy resources using the Harmony Search algorithm. Soft Comput. 23(15): 6495-6510 (2019) - [j61]Eneko Osaba, Xin-She Yang, Iztok Fister Jr., Javier Del Ser, Pedro López-García, Alejo J. Vazquez-Pardavila:
A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection. Swarm Evol. Comput. 44: 273-286 (2019) - [j60]Cristian Ramírez-Atencia, Javier Del Ser, David Camacho:
Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning. Swarm Evol. Comput. 44: 480-495 (2019) - [j59]Javier Del Ser, Zong Woo Geem, Xin-She Yang:
Foreword: New theoretical insights and practical applications of bio-inspired computation approaches. Swarm Evol. Comput. 45: 68-69 (2019) - [j58]Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48: 220-250 (2019) - [j57]Antonio Benítez-Hidalgo, Antonio J. Nebro, José García-Nieto, Izaskun Oregi, Javier Del Ser:
jMetalPy: A Python framework for multi-objective optimization with metaheuristics. Swarm Evol. Comput. 51 (2019) - [j56]Amin Ullah, Khan Muhammad, Javier Del Ser, Sung Wook Baik, Victor Hugo C. de Albuquerque:
Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM. IEEE Trans. Ind. Electron. 66(12): 9692-9702 (2019) - [j55]Javier Del Ser, Javier J. Sánchez Medina, Eleni I. Vlahogianni:
Introduction to the Special Issue on Online Learning for Big-Data Driven Transportation and Mobility. IEEE Trans. Intell. Transp. Syst. 20(12): 4621-4623 (2019) - [c125]Akemi Gálvez, Iztok Fister, Eneko Osaba, Iztok Fister Jr., Javier Del Ser, Andrés Iglesias:
Hybrid Modified Firefly Algorithm for Border Detection of Skin Lesions in Medical Imaging. CEC 2019: 111-118 - [c124]Ismael Estalayo, Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Khan Muhammad, Akemi Gálvez, Andrés Iglesias:
Return, Diversification and Risk in Cryptocurrency Portfolios using Deep Recurrent Neural Networks and Multi-Objective Evolutionary Algorithms. CEC 2019: 755-761 - [c123]Iztok Fister Jr., Andrés Iglesias, Akemi Gálvez, Javier Del Ser, Eneko Osaba, Iztok Fister:
Cooperative game concepts in solving global optimization. CEC 2019: 1525-1532 - [c122]Eric Manibardo, Unai Irusta, Javier Del Ser, Elisabete Aramendi, Iraia Isasi, Mikel Olabarria, Carlos Corcuera, Jose F. Veintemillas, Andima Larrea:
ECG-based Random Forest Classifier for Cardiac Arrest Rhythms. EMBC 2019: 1504-1508 - [c121]Maria Carrillo, Javier Sánchez Cubillo, Eneko Osaba, Miren Nekane Bilbao, Javier Del Ser:
Trophallaxis, Low-Power Vision Sensors and Multi-objective Heuristics for 3D Scene Reconstruction Using Swarm Robotics. EvoApplications 2019: 599-615 - [c120]Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laña, Javier Del Ser:
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks. GECCO (Companion) 2019: 1312-1320 - [c119]Eneko Osaba, Javier Del Ser, Ángel Panizo, David Camacho, Akemi Gálvez, Andrés Iglesias:
Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams. GECCO (Companion) 2019: 1329-1335 - [c118]Iztok Fister Jr., Akemi Gálvez, Eneko Osaba, Javier Del Ser, Andrés Iglesias, Iztok Fister:
Discovering dependencies among mined association rules with population-based metaheuristics. GECCO (Companion) 2019: 1668-1674 - [c117]Akemi Gálvez, Iztok Fister Jr., Eneko Osaba, Iztok Fister, Javier Del Ser, Andrés Iglesias:
Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm. GECCO (Companion) 2019: 1675-1682 - [c116]Aritz D. Martinez, Eneko Osaba, Izaskun Oregi, Iztok Fister Jr., Iztok Fister, Javier Del Ser:
Hybridizing differential evolution and novelty search for multimodal optimization problems. GECCO (Companion) 2019: 1980-1989 - [c115]Eneko Osaba, Miren Nekane Bilbao, Andrés Iglesias, Javier Del Ser, Akemi Gálvez, Iztok Fister Jr., Iztok Fister:
Dynamic Partitioning of Evolving Graph Streams Using Nature-Inspired Heuristics. ICCS (3) 2019: 367-380 - [c114]Akemi Gálvez, Eneko Osaba, Javier Del Ser, Andrés Iglesias:
Bat Algorithm for Kernel Computation in Fractal Image Reconstruction. ICCS (3) 2019: 381-394 - [c113]Ismael Estalayo, Eneko Osaba, Ibai Laña, Javier Del Ser:
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates. ITSC 2019: 1336-1342 - [c112]Ibai Laña, Esther Villar-Rodriguez, Urtats Etxegarai, Izaskun Oregi, Javier Del Ser:
A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability. ITSC 2019: 1922-1928 - [c111]Alejandro Barredo Arrieta, Ibai Laña, Javier Del Ser:
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting. ITSC 2019: 2232-2237 - [c110]Javier Del Ser, Ibai Laña, Miren Nekane Bilbao, Eleni I. Vlahogianni:
Road Traffic Forecasting using Stacking Ensembles of Echo State Networks. ITSC 2019: 2591-2597 - [c109]Iztok Fister, Andrés Iglesias, Akemi Gálvez, Javier Del Ser, Eneko Osaba, Iztok Fister Jr.:
Using Adaptive Novelty Search in Differential Evolution. PAAMS (Workshops) 2019: 267-275 - [c108]Akemi Gálvez, Iztok Fister, Iztok Fister Jr., Eneko Osaba, Javier Del Ser, Andrés Iglesias:
Cuckoo Search Algorithm for Border Reconstruction of Medical Images with Rational Curves. ICSI (1) 2019: 320-330 - [i15]Antonio Benítez-Hidalgo, Antonio J. Nebro, José García-Nieto, Izaskun Oregi, Javier Del Ser:
jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics. CoRR abs/1903.02915 (2019) - [i14]Jesus L. Lobo, Igor Ballesteros, Izaskun Oregi, Javier Del Ser:
Real-time Electrical Power Prediction in a Combined Cycle Power Plant. CoRR abs/1907.11653 (2019) - [i13]Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser:
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning. CoRR abs/1908.08018 (2019) - [i12]Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and Online Learning: An Overview and Perspectives. CoRR abs/1908.08019 (2019) - [i11]Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser:
Online Ranking with Concept Drifts in Streaming Data. CoRR abs/1910.08795 (2019) - [i10]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser,