Jesus L. Lobo
Orcid: 0000-0002-6283-5148
According to our database1,
Jesus L. Lobo
authored at least 44 papers
between 2013 and 2023.
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Bibliography
2023
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability.
Inf. Fusion, December, 2023
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks.
Environ. Model. Softw., December, 2023
Understanding the challenges and novel architectural models of multi-cloud native applications - a systematic literature review.
J. Cloud Comput., 2023
CoRR, 2023
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence.
CoRR, 2023
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations.
Proceedings of the 2023 11th International Conference on Computer and Communications Management, 2023
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
2022
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks.
CoRR, 2022
PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks.
Neural Networks, 2021
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Inf. Sci., 2021
Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum.
Inf., 2021
Data Min. Knowl. Discov., 2021
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency.
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
2020
Neural Networks, 2020
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning.
Neural Networks, 2020
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.
Evol. Syst., 2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
CoRR, 2019
2018
Neural Networks, 2018
DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments.
Appl. Soft Comput., 2018
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks.
Proceedings of the Intelligent Distributed Computing XII, 2018
Proceedings of the Intelligent Distributed Computing XII, 2018
Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency.
Proceedings of the Intelligent Distributed Computing XII, 2018
2017
On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics.
Proceedings of the Harmony Search Algorithm, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Identifying recommendation opportunities for computer-supported collaborative environments.
Expert Syst. J. Knowl. Eng., 2016
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift.
Proceedings of the Intelligent Distributed Computing X - Proceedings of the 10th International Symposium on Intelligent Distributed Computing, 2016
Proceedings of the International Conference on Human-Computer Interaction in Aerospace, 2016
Community detection in graphs based on surprise maximization using firefly heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2014
Towards a Transferable and Domain-Independent Reputation Indicator to Group Students in the Collaborative Logical Framework Approach.
Proceedings of the Posters, 2014
2013
Towards Semantic Descriptions of Collaboration Indicators to Support Collaboration Models Transferability.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013