Ibai Laña

54 papers B 4C 1Misc 2Journal 19Unranked 28
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multi-level IIOT platform for boosting mines digitalization.
Future Gener. Comput. Syst.
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, Andrea Bartoli, Norbert Gormolla, Alberto Fernández, Pablo Segarra, José A. Sanchidrián, Philipp Hartlieb
2025 J jnl
Game On: Exploring the Potential for Soft Skill Development Through Video Games.
Inf.
Juan Bartolomé, Idoya del Río, Aritz D. Martinez, Andoni Aranguren, Ibai Laña, Sergio Alloza
2025 — conf
Symbolic Regressor: An Interpretability Tool for Non-intrusive Load Monitoring.
HAIS (1)
Danel Rey-Arnal, Pablo García Bringas, Ibai Laña
2024 B conf
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression.
IJCNN
Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera
2024 — conf
Industrial Pump Condition Monitoring with Audio Samples: a Low-Rank Linear Autoencoder Feature Extraction Approach.
COINS
Ibai Laña, Pedro G. Bascoy, Andoni Aranguren, Sergio Gil-Lopez, Itziar Landa-Torres
2024 J jnl
Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionability.
IEEE Trans. Intell. Transp. Syst.
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
2024 J jnl
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications.
CoRR
Alain Andres, Aitor Martínez-Seras, Ibai Laña, Javier Del Ser
2024 — conf
On the Connection Between Neural Activations and Uncertainty in Object Detection Transformers Using Topological Data Analysis.
ITSC
Javier Del Ser, Aitor Martínez-Seras, Ibai Laña, Miren Nekane Bilbao, Panagiotis Fafoutellis, Eleni I. Vlahogianni
2024 — conf
Uncertainty Estimation for Energy Consumption Nowcasting.
DEXA Workshops
Danel Rey-Arnal, Ibai Laña, Pablo García Bringas
2023 — conf
A Causal Deep Learning Framework for Traffic Forecasting.
ITSC
Panagiotis Fafoutellis, Ibai Laña, Javier Del Ser, Eleni I. Vlahogianni
2023 J jnl
A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles.
IEEE Trans. Intell. Transp. Syst.
Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser
2023 — conf
Efficient Platooning for Urban Last Mile Logistics Using Multi-Objective Optimization: Performance Comparison and Load Strategies.
ITSC
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
2023 — conf
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks.
SSCI
Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo
2023 C conf
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles.
IV
Eric L. Manibardo, Ibai Laña, Javier Del Ser, Alexander Carballo, Kazuya Takeda
2023 — conf
Isochrone Overlapping: A Novel Approach to Mobility and Infrastructure Planning.
ITSC
Andoni Aranguren, Ibai Laña, Eneko Osaba, Silvia Urra-Uriarte
2023 — conf
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks.
ITSC
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2023 — conf
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence.
CAI
Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser
2023 J jnl
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence.
CoRR
Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser
2022 — conf
A Comparison of Modelling Approaches for the Long-term Estimation of Origin Destination Matrices in Bike Sharing Systems.
ITSC
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
2022 J jnl
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
IEEE Trans. Intell. Transp. Syst.
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2022 B conf
Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks.
IJCNN
Javier Del Ser, Miren Nekane Bilbao, Ibai Laña, Khan Muhammad, David Camacho
2022 J jnl
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability.
CoRR
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
2022 J jnl
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles.
CoRR
Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser
2022 — conf
On the Potential of Randomization-based Neural Networks for Driving Behavior Classification.
ITSC
Javier Del Ser, Eric L. Manibardo, Ibai Laña
2022 J jnl
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification.
Neural Comput. Appl.
Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser
2022 — conf
What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads.
ITSC
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2021 — conf
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows.
ITSC
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2021 J jnl
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges.
Appl. Soft Comput.
Juan Antonio Guerra-Montenegro, Javier J. Sánchez Medina, Ibai Laña, David Sánchez-Rodríguez, Itziar G. Alonso-González, Javier Del Ser
2021 J jnl
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability.
Sensors
Ibai Laña, Javier J. Sánchez Medina, Eleni I. Vlahogianni, Javier Del Ser
2021 J jnl
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification.
CoRR
Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser
2021 B conf
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis.
IJCNN
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2021 — conf
Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations.
ITSC
Ibai Laña, Izaskun Oregi, Javier Del Ser
2020 — conf
Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systems.
ITSC
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser, Luis Rodriguez
2020 — conf
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
ITSC
Javier Del Ser, Ibai Laña, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni
2020 J jnl
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
CoRR
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2020 — conf
Effect of Soccer Games on Traffic, Study Case: Madrid.
ITSC
Ignacio (Iñaki) Olabarrieta, Ibai Laña
2020 J jnl
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.
Evol. Syst.
Elisa Capecci, Jesus L. Lobo, Ibai Laña, Josafath Israel Espinosa Ramos, Nikola K. Kasabov
2020 B conf
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.
IJCNN
Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser
2020 J jnl
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.
CoRR
Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser
2020 — conf
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking.
ITSC
Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Ibai Laña, Javier Del Ser
2020 J jnl
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking.
CoRR
Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Ibai Laña, Javier Del Ser
2020 — conf
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls.
ITSC
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2020 J jnl
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls.
CoRR
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2019 — conf
A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability.
ITSC
Ibai Laña, Esther Villar-Rodriguez, Urtats Etxegarai, Izaskun Oregi, Javier Del Ser
2019 — conf
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates.
ITSC
Ismael Estalayo, Eneko Osaba, Ibai Laña, Javier Del Ser
2019 — conf
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks.
GECCO (Companion)
Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laña, Javier Del Ser
2019 — conf
Road Traffic Forecasting using Stacking Ensembles of Echo State Networks.
ITSC
Javier Del Ser, Ibai Laña, Miren Nekane Bilbao, Eleni I. Vlahogianni
2019 — conf
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting.
ITSC
Alejandro Barredo Arrieta, Ibai Laña, Javier Del Ser
2018 Misc conf
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks.
IDC
Jesus L. Lobo, Javier Del Ser, Ibai Laña, Miren Nekane Bilbao, Nikola K. Kasabov
2018 J jnl
Evolving Spiking Neural Networks for online learning over drifting data streams.
Neural Networks
Jesus L. Lobo, Ibai Laña, Javier Del Ser, Miren Nekane Bilbao, Nikola K. Kasabov
2018 — conf
Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks.
ICONIP (1)
Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laña, Gautam Kishore Shahi, Nikola K. Kasabov
2018 Misc conf
Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks.
IDC
Ibai Laña, Elisa Capecci, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
2017 — conf
A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics.
ICHSA
Ignacio (Iñaki) Olabarrieta, Ana I. Torre-Bastida, Ibai Laña, Sergio Campos-Cordobes, Javier Del Ser
2017 — conf
Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks.
ICHSA
Ibai Laña, Javier Del Ser, Manuel Vélez, Izaskun Oregi