I. Laña

发表

The role of local urban traffic and meteorological conditions in air pollution: A data-based case study in Madrid, Spain

Javier Del Ser, C. Casanova-Mateo, Manuel Velez, 2016 .

Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs

Javier J. Sánchez Medina, Javier Del Ser, Eneko Osaba, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Understanding daily mobility patterns in urban road networks using traffic flow analytics

Javier Del Ser, Ignacio Olabarrieta, Ibai Lana, 2016, NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium.

Micro-Adaptive Long-Term Traﬃc Forecasting with Evolving Spiking Neural Networks

J. Ser, N. Kasabov, I. Laña, 2018 .

Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis

Eric L. Manibardo, J. Ser, I. Laña, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks

Miren Nekane Bilbao, David Camacho, J. Del Ser, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles

Eric L. Manibardo, J. Ser, Esther Villar-Rodriguez, 2022, IEEE Transactions on Intelligent Transportation Systems.

Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability

J. Ser, I. Laña, I. Olabarrieta, 2022, ArXiv.

On the Potential of Randomization-based Neural Networks for Driving Behavior Classification

Eric L. Manibardo, J. Ser, I. Laña, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks

N. Kasabov, I. Laña, E. Capecci, 2019, Evolving Systems.

Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks

Nikola K. Kasabov, Josafath Israel Espinosa Ramos, Elisa Capecci, 2019, Evolving Systems.

Adaptive long-term traffic state estimation with evolving spiking neural networks

Nikola Kasabov, Javier Del Ser, Elisa Capecci, 2019, Transportation Research Part C: Emerging Technologies.

Road Traffic Forecasting: Recent Advances and New Challenges

Eleni I. Vlahogianni, Manuel Velez, Ibai Lana, 2018, IEEE Intelligent Transportation Systems Magazine.

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks

Javier Del Ser, Eneko Osaba, Antonio D. Masegosa, 2019, GECCO.

On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification pdf

Ibai Lana, Javier Del Ser, Sergio Gil-Lopez, 2021, Neural Computing and Applications.

On the imputation of missing data for road traffic forecasting: New insights and novel techniques

Javier Del Ser, Ignacio Olabarrieta, Ibai Laña, 2018 .

Big Data for transportation and mobility: recent advances, trends and challenges

Javier Del Ser, Ana I. Torre-Bastida, Miren Nekane Bilbao, 2018, IET Intelligent Transport Systems.

Introductory Chapter: Artificial Intelligence - Latest Advances, New Paradigms and Novel Applications

Eneko Osaba, Ibai Laña, Esther Villar, 2021, Artificial Intelligence.

From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability

J. Ser, E. Vlahogianni, I. Laña, 2020, Sensors.

Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows

Javier Del Ser, Eric L. Manibardo, Ibai Laña, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Evolving Spiking Neural Networks for online learning over drifting data streams

Javier Del Ser, Nikola K. Kasabov, Jesus L. Lobo, 2018, Neural Networks.

Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks

Javier Del Ser, Nikola K. Kasabov, Jesus L. Lobo, 2018, IDC.

Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges

Javier J. Sánchez Medina, Javier Del Ser, Itziar G. Alonso-González, 2021, Appl. Soft Comput..

Deep Learning for Road Traffic Forecasting: Does it Make a Difference? pdf

Ibai Lana, Javier Del Ser, Eric L. Manibardo, 2020, IEEE Transactions on Intelligent Transportation Systems.

New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data

Ibai Lana, Javier Del Ser, Eric L. Manibardo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift

Javier Del Ser, Sancho Salcedo-Sanz, Jesus L. Lobo, 2016, IDC.

Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment

Ibai Lana, Eleni I. Vlahogianni, Javier Del Ser, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Road Traffic Forecasting using Stacking Ensembles of Echo State Networks

Eleni I. Vlahogianni, Javier Del Ser, Miren Nekane Bilbao, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting

Javier Del Ser, Ibai Laña, Alejandro Barredo Arrieta, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking

Ibai Lana, Javier Del Ser, Eneko Osaba, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

A Comparison of Modelling Approaches for the Long-term Estimation of Origin Destination Matrices in Bike Sharing Systems

J. Ser, I. Laña, I. Olabarrieta, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Big Data in Road Transport and Mobility Research

Javier Del Ser, Ana I. Torre-Bastida, Ignacio Olabarrieta, 2018 .

On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles

Ibai Lana, Javier Del Ser, Eric L. Manibardo, 2022, ArXiv.

Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations

Javier Del Ser, Izaskun Oregi, Ibai Laña, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Effect of Soccer Games on Traffic, Study Case: Madrid

Ibai Laña, Ignacio Iñaki Olabarrieta, I. Laña, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls

Ibai Lana, Javier Del Ser, Eric L. Manibardo, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks

Nikola K. Kasabov, Elisa Capecci, Durgesh Nandini, 2018, ICONIP.

Model Free Identification of Traffic Conditions Using Unmanned Aerial Vehicles and Deep Learning

Eleni I. Vlahogianni, Konstantinos Kepaptsoglou, Ibai Laña, 2021, Journal of Big Data Analytics in Transportation.

Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks

Javier Del Ser, Izaskun Oregi, Manuel Vélez, 2017, ICHSA.

Evolving Spiking Neural Networks for online learning over drifting data streams

Miren Nekane Bilbao, J. Ser, N. Kasabov, 2018, Neural Networks.

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, Cristina Perfecto, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks

Eric L. Manibardo, J. Ser, I. Laña, 2023, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC).