Ibai Laña

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 44

Top Topics

Top Venues

Publications

Panagiotis Fafoutellis, Ibai Laña, Javier Del Ser, Eleni I. Vlahogianni
A Causal Deep Learning Framework for Traffic Forecasting. ITSC (2023)
Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. SSCI (2023)
Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence. CoRR (2023)
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
Efficient Platooning for Urban Last Mile Logistics Using Multi-Objective Optimization: Performance Comparison and Load Strategies. ITSC (2023)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks. ITSC (2023)
Andoni Aranguren, Ibai Laña, Eneko Osaba, Silvia Urra-Uriarte
Isochrone Overlapping: A Novel Approach to Mobility and Infrastructure Planning. ITSC (2023)
Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser
A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Eric L. Manibardo, Ibai Laña, Javier Del Ser, Alexander Carballo, Kazuya Takeda
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles. IV (2023)
Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification. Neural Comput. Appl. 34 (13) (2022)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads. ITSC (2022)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability. CoRR (2022)
Javier Del Ser, Eric L. Manibardo, Ibai Laña
On the Potential of Randomization-based Neural Networks for Driving Behavior Classification. ITSC (2022)
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
A Comparison of Modelling Approaches for the Long-term Estimation of Origin Destination Matrices in Bike Sharing Systems. ITSC (2022)
Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles. CoRR (2022)
Javier Del Ser, Miren Nekane Bilbao, Ibai Laña, Khan Muhammad, David Camacho
Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks. IJCNN (2022)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. IJCNN (2021)
Ibai Laña, Izaskun Oregi, Javier Del Ser
Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations. ITSC (2021)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows. ITSC (2021)
Ibai Laña, Javier J. Sánchez Medina, Eleni I. Vlahogianni, Javier Del Ser
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability. Sensors 21 (4) (2021)
Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification. CoRR (2021)
Juan Antonio Guerra-Montenegro, Javier J. Sánchez Medina, Ibai Laña, David Sánchez-Rodríguez, Itziar G. Alonso-González, Javier Del Ser
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges. Appl. Soft Comput. 102 (2021)
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)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? CoRR (2020)
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) (2020)
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)
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 (2020)
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser, Luis Rodriguez
Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systems. ITSC (2020)
Ignacio (Iñaki) Olabarrieta, Ibai Laña
Effect of Soccer Games on Traffic, Study Case: Madrid. ITSC (2020)
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)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. ITSC (2020)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. CoRR (2020)
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 (2020)
Alejandro Barredo Arrieta, Ibai Laña, Javier Del Ser
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting. ITSC (2019)
Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laña, Javier Del Ser
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks. GECCO (Companion) (2019)
Ismael Estalayo, Eneko Osaba, Ibai Laña, Javier Del Ser
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates. ITSC (2019)
Ibai Laña, Esther Villar-Rodriguez, Urtats Etxegarai, Izaskun Oregi, Javier Del Ser
A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability. ITSC (2019)
Javier Del Ser, Ibai Laña, Miren Nekane Bilbao, Eleni I. Vlahogianni
Road Traffic Forecasting using Stacking Ensembles of Echo State Networks. ITSC (2019)
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 (2018)
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)
Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laña, Gautam Kishore Shahi, Nikola K. Kasabov
Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. ICONIP (1) (2018)
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)
Ignacio (Iñaki) Olabarrieta, Ana I. Torre-Bastida, Ibai Laña, Sergio Campos-Cordobes, Javier Del Ser
A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics. ICHSA (2017)
Ibai Laña, Javier Del Ser, Manuel Vélez, Izaskun Oregi
Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks. ICHSA (2017)