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2020 – today
- 2024
[j15]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: 128073 (2024)- [c25]Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera:
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. IJCNN 2024: 1-8 - [i18]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 abs/2401.09983 (2024) - [i17]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 abs/2407.05379 (2024) - 2023
- [j14]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: 105851 (2023) - [j13]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: 101943 (2023) - [j12]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): 6 (2023) - [c24]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: 85-90 - [c23]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: 26-31 - [c22]Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo:
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. SSCI 2023: 1346-1351 - [c21]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: 195-199 - [i16]Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser:
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence. CoRR abs/2303.07940 (2023) - [i15]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 abs/2311.10767 (2023) - [i14]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 abs/2312.08785 (2023) - 2022
- [c20]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo:
A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization. CEC 2022: 1-8 - [c19]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: 71-72 - [i13]Aitor Martínez-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 abs/2210.00894 (2022) - 2021
- [j11]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) - [j10]Juncal Alonso, Leire Orue-Echevarria, Eneko Osaba, Jesús López Lobo, Iñigo Martinez, Josu Díaz-de-Arcaya, Iñaki Etxaniz:
Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum. Inf. 12(8): 308 (2021) - [j9]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular automata for drifting data streams. Inf. Sci. 543: 467-487 (2021) - [j8]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) - [j7]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) - [c18]Jesus L. Lobo, Javier Del Ser, Eneko Osaba:
Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data Streams. ICDM (Workshops) 2021: 304-311 - [c17]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: 50-64 - [c16]Ekhine Irurozki, Aritz Pérez, Jesus L. Lobo, Javier Del Ser:
Rank Aggregation for Non-stationary Data Streams. ECML/PKDD (3) 2021: 297-313 - [c15]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 - 2020
- [j6]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): 599-613 (2020) - [j5]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) - [j4]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) - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [i12]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular Automata for Drifting Data Streams. CoRR abs/2002.02164 (2020) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]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)
2010 – 2019
- 2019
- [i5]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) - [i4]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) - [i3]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) - [i2]Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser:
Online Ranking with Concept Drifts in Streaming Data. CoRR abs/1910.08795 (2019) - [i1]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 abs/1912.08785 (2019) - 2018
- [j3]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: 693-709 (2018) - [j2]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: 1-19 (2018) - [c10]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: 11-25 - [c9]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: 82-94 - [c8]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: 192-203 - 2017
- [c7]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: 1621-1628 - [c6]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: 67-77 - 2016
- [j1]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): 463-479 (2016) - [c5]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: 2233-2239 - [c4]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: 16:1-16:8 - [c3]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: 237-246 - 2014
- [c2]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 - 2013
- [c1]Jesus L. Lobo, Olga C. Santos, Jesus Boticario:
Towards Semantic Descriptions of Collaboration Indicators to Support Collaboration Models Transferability. AIED Workshops 2013
Coauthor Index
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