Jesus L. Lobo

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Spiking Neural Networks

Top Venues

Neural Networks

Publications

Eneko Osaba, Josu Díaz-de-Arcaya, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations. CoRR (2024)
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser
Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects. Neurocomputing 599 (2024)
Maria Arostegi, Miren Nekane Bilbao, Jesus L. Lobo, Javier Del Ser
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency. CoRR (2024)
Eneko Osaba, Gorka Benguria, Jesus L. Lobo, Josu Díaz-de-Arcaya, Juncal Alonso, Iñaki Etxaniz
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing. CoRR (2023)
Piotr S. Maciag, Robert Bembenik, Aleksandra Piekarzewicz, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks. Environ. Model. Softw. 170 (2023)
Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. SSCI (2023)
Eneko Osaba, Gorka Benguria, Jesus L. Lobo, Josu Díaz-de-Arcaya, Juncal Alonso, Iñaki Etxaniz
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing. CIIS (2023)
Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence. CoRR (2023)
Juncal Alonso, Leire Orue-Echevarria, Valentina Casola, Ana I. Torre-Bastida, Maider Huarte, Eneko Osaba, Jesus L. Lobo
Understanding the challenges and novel architectural models of multi-cloud native applications - a systematic literature review. J. Cloud Comput. 12 (1) (2023)
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser
Managing the unknown: a survey on Open Set Recognition and tangential areas. CoRR (2023)
Josu Díaz-de-Arcaya, Eneko Osaba, Gorka Benguria, Iñaki Etxaniz, Jesus L. Lobo, Juncal Alonso, Ana I. Torre-Bastida, Aitor Almeida
IEM: A Unified Lifecycle Orchestrator for Multilingual IaC Deployments. ICPE (Companion) (2023)
Eneko Osaba, Josu Díaz-de-Arcaya, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations. ICCCM (2023)
Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability. Inf. Fusion 100 (2023)
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo
A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization. CEC (2022)
Aitor Martinez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks. CoRR (2022)
Eneko Osaba, Josu Díaz-de-Arcaya, Leire Orue-Echevarria, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations. GECCO Companion (2022)
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 (2021)
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 (2021)
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)
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) (2021)
Jesus L. Lobo, Javier Del Ser, Eneko Osaba
Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data Streams. ICDM (Workshops) (2021)
Maria Arostegi, Jesus L. Lobo, Javier Del Ser
SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency. IAL@PKDD/ECML (2021)
Jesus L. Lobo, Javier Del Ser, Francisco Herrera
LUNAR: Cellular automata for drifting data streams. Inf. Sci. 543 (2021)
Ekhine Irurozki, Aritz Pérez, Jesus L. Lobo, Javier Del Ser
Rank Aggregation for Non-stationary Data Streams. ECML/PKDD (3) (2021)
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)
Elisa Capecci, Jesus L. Lobo, Ibai Laña, Josafath Israel Espinosa Ramos, Nikola K. Kasabov
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks. Evol. Syst. 11 (4) (2020)
Jesus L. Lobo, Javier Del Ser, Francisco Herrera
LUNAR: Cellular Automata for Drifting Data Streams. CoRR (2020)
Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera
CURIE: A Cellular Automaton for Concept Drift Detection. CoRR (2020)
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)
Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
Spiking Neural Networks and online learning: An overview and perspectives. Neural Networks 121 (2020)
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 (2020)
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 (2020)
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 (2020)
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)
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 (2020)
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 (2020)
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)
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 (2020)
Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning. CoRR (2019)
Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser
Online Ranking with Concept Drifts in Streaming Data. CoRR (2019)
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. CoRR (2019)
Jesus L. Lobo, Igor Ballesteros, Izaskun Oregi, Javier Del Ser
Real-time Electrical Power Prediction in a Combined Cycle Power Plant. CoRR (2019)
Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
Spiking Neural Networks and Online Learning: An Overview and Perspectives. CoRR (2019)
Maria Arostegi, Ana I. Torre-Bastida, Jesus L. Lobo, Miren Nekane Bilbao, Javier Del Ser
Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency. IDC (2018)
Jesus L. Lobo, Javier Del Ser, Miren Nekane Bilbao, Cristina Perfecto, Sancho Salcedo-Sanz
DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments. Appl. Soft Comput. 68 (2018)
Jesus L. Lobo, Ibai Laña, Javier Del Ser, Miren Nekane Bilbao, Nikola K. Kasabov
Evolving Spiking Neural Networks for online learning over drifting data streams. Neural Networks 108 (2018)
Ibai Laña, Elisa Capecci, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks. IDC (2018)
Jesus L. Lobo, Javier Del Ser, Ibai Laña, Miren Nekane Bilbao, Nikola K. Kasabov
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks. IDC (2018)
Jesus L. Lobo, Javier Del Ser, Esther Villar-Rodriguez, Miren Nekane Bilbao, Sancho Salcedo-Sanz
On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics. ICHSA (2017)
Itziar Landa-Torres, Jesus L. Lobo, Idoia Murua, Diana Manjarres, Javier Del Ser
Multi-objective heuristics applied to robot task planning for inspection plants. CEC (2017)
Jesus L. Lobo, Olga C. Santos, Jesus Boticario, Javier Del Ser
Identifying recommendation opportunities for computer-supported collaborative environments. Expert Syst. J. Knowl. Eng. 33 (5) (2016)
Javier Del Ser, Jesus L. Lobo, Esther Villar-Rodriguez, Miren Nekane Bilbao, Cristina Perfecto
Community detection in graphs based on surprise maximization using firefly heuristics. CEC (2016)
Jesus L. Lobo, Javier Del Ser, Flavia De Simone, Roberta Presta, Simona Collina, Zdenek Moravek
Cognitive workload classification using eye-tracking and EEG data. HCI-Aero (2016)
Jesus L. Lobo, Javier Del Ser, Miren Nekane Bilbao, Ibai Lana, Sancho Salcedo-Sanz
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift. IDC (2016)
Jesus L. Lobo, Olga C. Santos, Jesus Boticario
Towards a Transferable and Domain-Independent Reputation Indicator to Group Students in the Collaborative Logical Framework Approach. UMAP Workshops (2014)
Jesus L. Lobo, Olga C. Santos, Jesus Boticario
Towards Semantic Descriptions of Collaboration Indicators to Support Collaboration Models Transferability. AIED Workshops (2013)