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Ibai Laña
ORCID
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 44
Top Topics
Metaheuristic
Road Traffic
E Learning
Neural Network
Top Venues
ITSC
CoRR
IJCNN
IDC
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Publications
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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)