| 2025 | HAIS | Symbolic Regressor: An Interpretability Tool for Non-intrusive Load Monitoring. | Danel Rey-Arnal, Pablo Garca Bringas, Ibai Laa |
| 2024 | IJCNN | Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. | Javier Del Ser, Aitor Martnez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laa, Francisco Herrera |
| 2022 | IJCNN | Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks. | Javier Del Ser, Miren Nekane Bilbao, Ibai Laa, Khan Muhammad, David Camacho |
| 2021 | IJCNN | Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. | Eric L. Manibardo, Ibai Laa, Javier Del Ser |
| 2020 | IJCNN | New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. | Eric L. Manibardo, Ibai Laa, Jesus L. Lobo, Javier Del Ser |
| 2019 | GECCO | Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks. | Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laa, Javier Del Ser |
| 2018 | ICONIP | Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. | Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laa, Gautam Kishore Shahi, Nikola K. Kasabov |
| 2018 | IDC | Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks. | Ibai Laa, Elisa Capecci, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov |
| 2018 | IDC | Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks. | Jesus L. Lobo, Javier Del Ser, Ibai Laa, Miren Nekane Bilbao, Nikola K. Kasabov |