Towards Semantic Descriptions of Collaboration Indicators to Support Collaboration Models Transferability. - Jesus L. Lobo; Olga C. Santos; Jesus Boticario (AIED Workshops, 2013)

Towards a Transferable and Domain-Independent Reputation Indicator to Group Students in the Collaborative Logical Framework Approach. - Jesus L. Lobo; Olga C. Santos; Jesus Boticario (UMAP Workshops, 2014)

Community detection in graphs based on surprise maximization using firefly heuristics. - Javier Del Ser; Jesus L. Lobo; Esther Villar-Rodriguez; Miren Nekane Bilbao; Cristina Perfecto (CEC, 2016)

Cognitive workload classification using eye-tracking and EEG data. - Jesus L. Lobo; Javier Del Ser; Flavia De Simone; Roberta Presta; Simona Collina; Zdenek Moravek (HCI-Aero, 2016)

A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift. - Jesus L. Lobo; Javier Del Ser; Miren Nekane Bilbao; Ibai Lana; Sancho Salcedo-Sanz (IDC, 2016)

Identifying recommendation opportunities for computer-supported collaborative environments. - Jesus L. Lobo; Olga C. Santos; Jesus Boticario; Javier Del Ser (Expert Syst. J. Knowl. Eng., 2016)

Multi-objective heuristics applied to robot task planning for inspection plants. - Itziar Landa-Torres; Jesus L. Lobo; Idoia Murua; Diana Manjarres; Javier Del Ser (CEC, 2017)

On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics. - Jesus L. Lobo; Javier Del Ser; Esther Villar-Rodriguez; Miren Nekane Bilbao; Sancho Salcedo-Sanz (ICHSA, 2017)

Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency. - Maria Arostegi; Ana I. Torre-Bastida; Jesus L. Lobo; Miren Nekane Bilbao; Javier Del Ser (IDC, 2018)

Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks. - Ibai Laña; Elisa Capecci; Javier Del Ser; Jesus L. Lobo; Nikola K. Kasabov (IDC, 2018)

Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks. - Jesus L. Lobo; Javier Del Ser; Ibai Laña; Miren Nekane Bilbao; Nikola K. Kasabov (IDC, 2018)

DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments. - Jesus L. Lobo; Javier Del Ser; Miren Nekane Bilbao; Cristina Perfecto; Sancho Salcedo-Sanz (Appl. Soft Comput., 2018)

Evolving Spiking Neural Networks for online learning over drifting data streams. - Jesus L. Lobo; Ibai Laña; Javier Del Ser; Miren Nekane Bilbao; Nikola K. Kasabov (Neural Networks, 2018)

Real-time Electrical Power Prediction in a Combined Cycle Power Plant. - Jesus L. Lobo; Igor Ballesteros; Izaskun Oregi; Javier Del Ser (CoRR, 2019)

Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning. - Jesus L. Lobo; Izaskun Oregi; Albert Bifet; Javier Del Ser (CoRR, 2019)

Online Ranking with Concept Drifts in Streaming Data. - Ekhine Irurozki; Jesus L. Lobo; Aritz Pérez; Javier Del Ser (CoRR, 2019)

Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. - Eneko Osaba; Aritz D. Martinez; Jesus L. Lobo; Javier Del Ser; Francisco Herrera (CEC, 2020)

New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. - Eric L. Manibardo; Ibai Laña; Jesus L. Lobo; Javier Del Ser (IJCNN, 2020)

On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking. - Eneko Osaba; Aritz D. Martinez; Jesus L. Lobo; Ibai Laña; Javier Del Ser (ITSC, 2020)

Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment. - Javier Del Ser; Ibai Laña; Eric L. Manibardo; Izaskun Oregi; Eneko Osaba; Jesus L. Lobo; Miren Nekane Bilbao; Eleni I. Vlahogianni (ITSC, 2020)

Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks. - Elisa Capecci; Jesus L. Lobo; Ibai Laña; Josafath Israel Espinosa Ramos; Nikola K. Kasabov (Evol. Syst., 2020)

Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning. - Jesus L. Lobo; Izaskun Oregi; Albert Bifet; Javier Del Ser (Neural Networks, 2020)

Spiking Neural Networks and online learning: An overview and perspectives. - Jesus L. Lobo; Javier Del Ser; Albert Bifet; Nikola K. Kasabov (Neural Networks, 2020)

Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data Streams. - Jesus L. Lobo; Javier Del Ser; Eneko Osaba (ICDM (Workshops), 2021)

SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency. - Maria Arostegi; Jesus L. Lobo; Javier Del Ser (IAL@PKDD/ECML, 2021)

Rank Aggregation for Non-stationary Data Streams. - Ekhine Irurozki; Aritz Pérez; Jesus L. Lobo; Javier Del Ser (ECML/PKDD (3), 2021)

MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. - Eneko Osaba; Javier Del Ser; Aritz D. Martinez; Jesus L. Lobo; Antonio J. Nebro; Xin-She Yang 001 (SSCI, 2021)

CURIE: a cellular automaton for concept drift detection. - Jesus L. Lobo; Javier Del Ser; Eneko Osaba; Albert Bifet; Francisco Herrera (Data Min. Knowl. Discov., 2021)

Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum. - Juncal Alonso; Leire Orue-Echevarria; Eneko Osaba; Jesús López Lobo; Iñigo Martinez; Josu Díaz-de-Arcaya; Iñaki Etxaniz (Inf., 2021)

LUNAR: Cellular automata for drifting data streams. - Jesus L. Lobo; Javier Del Ser; Francisco Herrera (Inf. Sci., 2021)

AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. - Eneko Osaba; Javier Del Ser; Aritz D. Martinez; Jesus L. Lobo; Francisco Herrera (Inf. Sci., 2021)

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. - Piotr S. Maciag; Marzena Kryszkiewicz; Robert Bembenik; Jesus L. Lobo; Javier Del Ser (Neural Networks, 2021)

A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization. - Eneko Osaba; Javier Del Ser; Aritz D. Martinez; Jesus L. Lobo (CEC, 2022)

PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations. - Eneko Osaba; Josu Díaz-de-Arcaya; Leire Orue-Echevarria; Juncal Alonso; Jesus L. Lobo; Gorka Benguria; Iñaki Etxaniz (GECCO Companion, 2022)

A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks. - Aitor Martínez-Seras; Javier Del Ser; Jesus L. Lobo; Pablo García Bringas; Nikola K. Kasabov (CoRR, 2022)

Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing. - Eneko Osaba; Gorka Benguria; Jesus L. Lobo; Josu Díaz-de-Arcaya; Juncal Alonso; Iñaki Etxaniz (CIIS, 2023)

Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations. - Eneko Osaba; Josu Díaz-de-Arcaya; Juncal Alonso; Jesus L. Lobo; Gorka Benguria; Iñaki Etxaniz (ICCCM, 2023)

Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. - Javier Del Ser; Alain Andres; Miren Nekane Bilbao; Ibai Laña; Jesus L. Lobo (SSCI, 2023)

IEM: A Unified Lifecycle Orchestrator for Multilingual IaC Deployments. - Josu Díaz-de-Arcaya; Eneko Osaba; Gorka Benguria; Iñaki Etxaniz; Jesus L. Lobo; Juncal Alonso; Ana I. Torre-Bastida; Aitor Almeida (ICPE (Companion), 2023)

On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence. - Jesus L. Lobo; Ibai Laña; Eneko Osaba; Javier Del Ser (CoRR, 2023)

Managing the unknown: a survey on Open Set Recognition and tangential areas. - Marcos Barcina-Blanco; Jesus L. Lobo; Pablo García Bringas; Javier Del Ser (CoRR, 2023)

Understanding the challenges and novel architectural models of multi-cloud native applications - a systematic literature review. - Juncal Alonso; Leire Orue-Echevarria; Valentina Casola; Ana I. Torre-Bastida; Maider Huarte; Eneko Osaba; Jesus L. Lobo (J. Cloud Comput., 2023)

Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks. - Piotr S. Maciag; Robert Bembenik; Aleksandra Piekarzewicz; Javier Del Ser; Jesus L. Lobo; Nikola K. Kasabov (Environ. Model. Softw., 2023)

A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability. - Aitor Martínez-Seras; Javier Del Ser; Jesus L. Lobo; Pablo García Bringas; Nikola K. Kasabov (Inf. Fusion, 2023)

Resilience to the Flowing Unknown: An Open Set Recognition Framework for Data Streams. - Marcos Barcina-Blanco; Jesus L. Lobo; Pablo García Bringas; Javier Del Ser (HAIS (1), 2024)

Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. - Javier Del Ser; Aitor Martínez-Seras; Miren Nekane Bilbao; Jesus L. Lobo; Ibai Laña; Francisco Herrera (IJCNN, 2024)

AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency. - Maria Arostegi; Miren Nekane Bilbao; Jesus L. Lobo; Javier Del Ser (CoRR, 2024)

Can transformative AI shape a new age for our civilization?: Navigating between speculation and reality. - Jesus L. Lobo; Javier Del Ser (CoRR, 2024)

Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects. - Marcos Barcina-Blanco; Jesus L. Lobo; Pablo García Bringas; Javier Del Ser (Neurocomputing, 2024)

World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child. - Javier Del Ser; Jesus L. Lobo; Heimo Müller; Andreas Holzinger (CoRR, 2025)

AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams. - Maria Arostegi; Miren Nekane Bilbao; Jesus L. Lobo; Javier Del Ser (CoRR, 2025)