Ibai Lana
Orcid: 0000-0002-2682-6199
According to our database1,
Ibai Lana
authored at least 45 papers
between 2016 and 2023.
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Bibliography
2023
IEEE Trans. Intell. Transp. Syst., August, 2023
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence.
CoRR, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Efficient Platooning for Urban Last Mile Logistics Using Multi-Objective Optimization: Performance Comparison and Load Strategies.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification.
Neural Comput. Appl., 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability.
CoRR, 2022
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles.
CoRR, 2022
On the Potential of Randomization-based Neural Networks for Driving Behavior Classification.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
A Comparison of Modelling Approaches for the Long-term Estimation of Origin Destination Matrices in Bike Sharing Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability.
Sensors, 2021
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges.
Appl. Soft Comput., 2021
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021
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
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systems.
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
2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
Neural Networks, 2018
IEEE Intell. Transp. Syst. Mag., 2018
Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 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
Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics.
Proceedings of the Harmony Search Algorithm, 2017
Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks.
Proceedings of the Harmony Search Algorithm, 2017
Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Understanding daily mobility patterns in urban road networks using traffic flow analytics.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 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