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)

Understanding daily mobility patterns in urban road networks using traffic flow analytics. - Ibai Lana; Javier Del Ser; Ignacio (Iñaki) Olabarrieta (NOMS, 2016)

A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting. - Ibai Lana; Javier Del Ser; Manuel Vélez (CEC, 2017)

Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria. - Javier Del Ser; Ana I. Torre-Bastida; Ibai Lana; Miren Nekane Bilbao; Cristina Perfecto (CEC, 2017)

Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks. - Ibai Laña; Javier Del Ser; Manuel Vélez; Izaskun Oregi (ICHSA, 2017)

A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics. - Ignacio (Iñaki) Olabarrieta; Ana I. Torre-Bastida; Ibai Laña; Sergio Campos-Cordobes; Javier Del Ser (ICHSA, 2017)

Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. - Durgesh Nandini; Elisa Capecci; Lucien Koefoed; Ibai Laña; Gautam Kishore Shahi; Nikola K. Kasabov (ICONIP (1), 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)

Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs. - Eneko Osaba; Javier Del Ser; Antonio J. Nebro; Ibai Lana; Miren Nekane Bilbao; Javier J. Sánchez Medina (ITSC, 2018)

Road Traffic Forecasting: Recent Advances and New Challenges. - Ibai Lana; Javier Del Ser; Manuel Vélez; Eleni I. Vlahogianni (IEEE Intell. Transp. Syst. Mag., 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)

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks. - Antonio D. Masegosa; Eneko Osaba; Juan S. Angarita-Zapata; Ibai Laña; Javier Del Ser (GECCO (Companion), 2019)

What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting. - Alejandro Barredo Arrieta; Ibai Laña; Javier Del Ser (ITSC, 2019)

Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates. - Ismael Estalayo; Eneko Osaba; Ibai Laña; Javier Del Ser (ITSC, 2019)

A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability. - Ibai Laña; Esther Villar-Rodriguez; Urtats Etxegarai; Izaskun Oregi; Javier Del Ser (ITSC, 2019)

Road Traffic Forecasting using Stacking Ensembles of Echo State Networks. - Javier Del Ser; Ibai Laña; Miren Nekane Bilbao; Eleni I. Vlahogianni (ITSC, 2019)

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)

Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systems. - Ibai Laña; Ignacio (Iñaki) Olabarrieta; Javier Del Ser; Luis Rodriguez (ITSC, 2020)

Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. - Eric L. Manibardo; Ibai Laña; Javier Del Ser (ITSC, 2020)

Effect of Soccer Games on Traffic, Study Case: Madrid. - Ignacio (Iñaki) Olabarrieta; Ibai Laña (ITSC, 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)

Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. - Eric L. Manibardo; Ibai Laña; Javier Del Ser (IJCNN, 2021)

Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations. - Ibai Laña; Izaskun Oregi; Javier Del Ser (ITSC, 2021)

Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows. - Eric L. Manibardo; Ibai Laña; Javier Del Ser (ITSC, 2021)

Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges. - Juan Antonio Guerra-Montenegro; Javier J. Sánchez Medina; Ibai Laña; David Sánchez-Rodríguez; Itziar G. Alonso-González; Javier Del Ser (Appl. Soft Comput., 2021)

From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability. - Ibai Laña; Javier J. Sánchez Medina; Eleni I. Vlahogianni; Javier Del Ser (Sensors, 2021)

Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks. - Javier Del Ser; Miren Nekane Bilbao; Ibai Laña; Khan Muhammad 001; David Camacho (IJCNN, 2022)

A Comparison of Modelling Approaches for the Long-term Estimation of Origin Destination Matrices in Bike Sharing Systems. - Ibai Laña; Ignacio (Iñaki) Olabarrieta; Javier Del Ser (ITSC, 2022)

What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads. - Eric L. Manibardo; Ibai Laña; Javier Del Ser (ITSC, 2022)

On the Potential of Randomization-based Neural Networks for Driving Behavior Classification. - Javier Del Ser; Eric L. Manibardo; Ibai Laña (ITSC, 2022)

On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles. - Eric L. Manibardo; Ibai Laña; Esther Villar-Rodriguez; Javier Del Ser (CoRR, 2022)

Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability. - Ibai Laña; Ignacio (Iñaki) Olabarrieta; Javier Del Ser (CoRR, 2022)

On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification. - Alejandro Barredo Arrieta; Sergio Gil-Lopez; Ibai Laña; Miren Nekane Bilbao; Javier Del Ser (Neural Comput. Appl., 2022)

Deep Learning for Road Traffic Forecasting: Does it Make a Difference? - Eric L. Manibardo; Ibai Laña; Javier Del Ser (IEEE Trans. Intell. Transp. Syst., 2022)

Isochrone Overlapping: A Novel Approach to Mobility and Infrastructure Planning. - Andoni Aranguren; Ibai Laña; Eneko Osaba; Silvia Urra-Uriarte (ITSC, 2023)

A Causal Deep Learning Framework for Traffic Forecasting. - Panagiotis Fafoutellis; Ibai Laña; Javier Del Ser; Eleni I. Vlahogianni (ITSC, 2023)

Efficient Platooning for Urban Last Mile Logistics Using Multi-Objective Optimization: Performance Comparison and Load Strategies. - Ibai Laña; Ignacio (Iñaki) Olabarrieta; Javier Del Ser (ITSC, 2023)

Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks. - Eric L. Manibardo; Ibai Laña; Javier Del Ser (ITSC, 2023)

Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles. - Eric L. Manibardo; Ibai Laña; Javier Del Ser; Alexander Carballo; Kazuya Takeda (IV, 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)

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

A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles. - Eric L. Manibardo; Ibai Laña; Esther Villar-Rodriguez; Javier Del Ser (IEEE Trans. Intell. Transp. Syst., 2023)

Industrial Pump Condition Monitoring with Audio Samples: a Low-Rank Linear Autoencoder Feature Extraction Approach. - Ibai Laña; Pedro G. Bascoy; Andoni Aranguren; Sergio Gil-Lopez; Itziar Landa-Torres (COINS, 2024)

Uncertainty Estimation for Energy Consumption Nowcasting. - Danel Rey-Arnal; Ibai Laña; Pablo García Bringas (DEXA Workshops, 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)

Single Agent Formulation for Reinforcement Learning Based Routing of Urban Last Mile Logistics with Platooning Vehicles. - Nagore Bravo; Imanol Echeverria; Alain Andres; Ibai Lana (ITSC, 2024)

On the Connection Between Neural Activations and Uncertainty in Object Detection Transformers Using Topological Data Analysis. - Javier Del Ser; Aitor Martínez-Seras; Ibai Laña; Miren Nekane Bilbao; Panagiotis Fafoutellis; Eleni I. Vlahogianni (ITSC, 2024)

On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications. - Alain Andres; Aitor Martínez-Seras; Ibai Laña; Javier Del Ser (CoRR, 2024)

Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionability. - Ibai Laña; Ignacio (Iñaki) Olabarrieta; Javier Del Ser (IEEE Trans. Intell. Transp. Syst., 2024)

A multi-level IIOT platform for boosting mines digitalization. - Raúl Miñón; Juan López-de-Armentia; Lander Bonilla; Aitor Brazaola; Ibai Laña; M. Carmen Palacios; Szymon Mueller; Michal Blaszczak; Herwig Zeiner; Julia Tschuden; Mohammad Yusuf Quadri; Ignasi Garcia-Milà Vidal; et al. (Future Gener. Comput. Syst., 2025)