Jesus L. Lobo

66 papers B 7Misc 4Journal 37Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
AiGAS-dEVL: An adaptive incremental neural gas model for drifting data streams under extreme verification latency.
Inf. Sci.
Maria Arostegi, Miren Nekane Bilbao, Jesus L. Lobo, Javier Del Ser
2025 B conf
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams.
IJCNN
Maria Arostegi, Miren Nekane Bilbao, Jesus L. Lobo, Javier Del Ser
2025 J jnl
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams.
CoRR
Maria Arostegi, Miren Nekane Bilbao, Jesus L. Lobo, Javier Del Ser
2025 J jnl
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child.
CoRR
Javier Del Ser, Jesus L. Lobo, Heimo Müller, Andreas Holzinger
2024 J jnl
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency.
CoRR
Maria Arostegi, Miren Nekane Bilbao, Jesus L. Lobo, Javier Del Ser
2024 B conf
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression.
IJCNN
Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera
2024 J jnl
Can transformative AI shape a new age for our civilization?: Navigating between speculation and reality.
CoRR
Jesus L. Lobo, Javier Del Ser
2024 J jnl
Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects.
Neurocomputing
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser
2024 J jnl
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations.
CoRR
Eneko Osaba, Josu Díaz-de-Arcaya, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
2024 — conf
Resilience to the Flowing Unknown: An Open Set Recognition Framework for Data Streams.
HAIS (1)
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser
2024 J jnl
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams.
CoRR
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser
2023 J jnl
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability.
Inf. Fusion
Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
2023 J jnl
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks.
Environ. Model. Softw.
Piotr S. Maciag, Robert Bembenik, Aleksandra Piekarzewicz, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
2023 — conf
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks.
SSCI
Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo
2023 — conf
IEM: A Unified Lifecycle Orchestrator for Multilingual IaC Deployments.
ICPE (Companion)
Josu Díaz-de-Arcaya, Eneko Osaba, Gorka Benguria, Iñaki Etxaniz, Jesus L. Lobo, Juncal Alonso, Ana I. Torre-Bastida, Aitor Almeida
2023 J jnl
Managing the unknown: a survey on Open Set Recognition and tangential areas.
CoRR
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser
2023 — conf
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations.
ICCCM
Eneko Osaba, Josu Díaz-de-Arcaya, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
2023 — conf
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence.
CAI
Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser
2023 J jnl
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence.
CoRR
Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser
2023 — conf
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing.
CIIS
Eneko Osaba, Gorka Benguria, Jesus L. Lobo, Josu Díaz-de-Arcaya, Juncal Alonso, Iñaki Etxaniz
2023 J jnl
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing.
CoRR
Eneko Osaba, Gorka Benguria, Jesus L. Lobo, Josu Díaz-de-Arcaya, Juncal Alonso, Iñaki Etxaniz
2023 — conf
The Right to Be Forgotten in Artificial Intelligence: Issues, Approaches, Limitations and Challenges.
CAI
Jesus L. Lobo, Sergio Gil-Lopez, Javier Del Ser
2023 J jnl
Understanding the challenges and novel architectural models of multi-cloud native applications - a systematic literature review.
J. Cloud Comput.
Juncal Alonso, Leire Orue-Echevarria, Valentina Casola, Ana I. Torre-Bastida, Maider Huarte, Eneko Osaba, Jesus L. Lobo
2022 B conf
A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization.
CEC
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo
2022 J jnl
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks.
CoRR
Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
2022 — conf
PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations.
GECCO Companion
Eneko Osaba, Josu Díaz-de-Arcaya, Leire Orue-Echevarria, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
2021 J jnl
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Inf. Sci.
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera
2021 J jnl
CURIE: a cellular automaton for concept drift detection.
Data Min. Knowl. Discov.
Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera
2021 J jnl
LUNAR: Cellular automata for drifting data streams.
Inf. Sci.
Jesus L. Lobo, Javier Del Ser, Francisco Herrera
2021 — conf
Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data Streams.
ICDM (Workshops)
Jesus L. Lobo, Javier Del Ser, Eneko Osaba
2021 — conf
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
SSCI
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Antonio J. Nebro, Xin-She Yang
2021 — conf
Rank Aggregation for Non-stationary Data Streams.
ECML/PKDD (3)
Ekhine Irurozki, Aritz Pérez, Jesus L. Lobo, Javier Del Ser
2021 — conf
SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency.
IAL@PKDD/ECML
Maria Arostegi, Jesus L. Lobo, Javier Del Ser
2021 J jnl
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks.
Neural Networks
Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser
2020 J jnl
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
CoRR
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera
2020 J jnl
CURIE: A Cellular Automaton for Concept Drift Detection.
CoRR
Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera
2020 — conf
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
ITSC
Javier Del Ser, Ibai Laña, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni
2020 J jnl
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
CoRR
Javier Del Ser, Ibai Lana, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni
2020 J jnl
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning.
Neural Networks
Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser
2020 J jnl
LUNAR: Cellular Automata for Drifting Data Streams.
CoRR
Jesus L. Lobo, Javier Del Ser, Francisco Herrera
2020 J jnl
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.
Evol. Syst.
Elisa Capecci, Jesus L. Lobo, Ibai Laña, Josafath Israel Espinosa Ramos, Nikola K. Kasabov
2020 B conf
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis.
CEC
Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera
2020 J jnl
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis.
CoRR
Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera
2020 B conf
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.
IJCNN
Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser
2020 J jnl
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.
CoRR
Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser
2020 — conf
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking.
ITSC
Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Ibai Laña, Javier Del Ser
2020 J jnl
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking.
CoRR
Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Ibai Laña, Javier Del Ser
2020 J jnl
Spiking Neural Networks and online learning: An overview and perspectives.
Neural Networks
Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
2019 J jnl
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning.
CoRR
Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser
2019 J jnl
Online Ranking with Concept Drifts in Streaming Data.
CoRR
Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser
2019 J jnl
Real-time Electrical Power Prediction in a Combined Cycle Power Plant.
CoRR
Jesus L. Lobo, Igor Ballesteros, Izaskun Oregi, Javier Del Ser
2019 J jnl
Spiking Neural Networks and Online Learning: An Overview and Perspectives.
CoRR
Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
2019 J jnl
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks.
CoRR
Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser
2018 Misc conf
Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency.
IDC
Maria Arostegi, Ana I. Torre-Bastida, Jesus L. Lobo, Miren Nekane Bilbao, Javier Del Ser
2018 J jnl
DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments.
Appl. Soft Comput.
Jesus L. Lobo, Javier Del Ser, Miren Nekane Bilbao, Cristina Perfecto, Sancho Salcedo-Sanz
2018 Misc conf
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks.
IDC
Jesus L. Lobo, Javier Del Ser, Ibai Laña, Miren Nekane Bilbao, Nikola K. Kasabov
2018 J jnl
Evolving Spiking Neural Networks for online learning over drifting data streams.
Neural Networks
Jesus L. Lobo, Ibai Laña, Javier Del Ser, Miren Nekane Bilbao, Nikola K. Kasabov
2018 Misc conf
Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks.
IDC
Ibai Laña, Elisa Capecci, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
2017 B conf
Multi-objective heuristics applied to robot task planning for inspection plants.
CEC
Itziar Landa-Torres, Jesus L. Lobo, Idoia Murua, Diana Manjarres, Javier Del Ser
2017 — conf
On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics.
ICHSA
Jesus L. Lobo, Javier Del Ser, Esther Villar-Rodriguez, Miren Nekane Bilbao, Sancho Salcedo-Sanz
2016 Misc conf
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift.
IDC
Jesus L. Lobo, Javier Del Ser, Miren Nekane Bilbao, Ibai Lana, Sancho Salcedo-Sanz
2016 — conf
Cognitive workload classification using eye-tracking and EEG data.
HCI-Aero
Jesus L. Lobo, Javier Del Ser, Flavia De Simone, Roberta Presta, Simona Collina, Zdenek Moravek
2016 B conf
Community detection in graphs based on surprise maximization using firefly heuristics.
CEC
Javier Del Ser, Jesus L. Lobo, Esther Villar-Rodriguez, Miren Nekane Bilbao, Cristina Perfecto
2016 J jnl
Identifying recommendation opportunities for computer-supported collaborative environments.
Expert Syst. J. Knowl. Eng.
Jesus L. Lobo, Olga C. Santos, Jesus Boticario, Javier Del Ser
2014 — conf
Towards a Transferable and Domain-Independent Reputation Indicator to Group Students in the Collaborative Logical Framework Approach.
UMAP Workshops
Jesus L. Lobo, Olga C. Santos, Jesus Boticario
2013 — conf
Towards Semantic Descriptions of Collaboration Indicators to Support Collaboration Models Transferability.
AIED Workshops
Jesus L. Lobo, Olga C. Santos, Jesus Boticario