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Ibai Lana
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2020 – today
- 2025
- [j10]Raúl Miñón
, Juan López-de-Armentia, Lander Bonilla, Aitor Brazaola
A multi-level IIOT platform for boosting mines digitalization. Future Gener. Comput. Syst. 163: 107501 (2025) - 2024
- [j9]Ibai Laña
Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionability. IEEE Trans. Intell. Transp. Syst. 25(9): 11180-11199 (2024) - [c36]Ibai Laña, Pedro G. Bascoy, Andoni Aranguren, Sergio Gil-Lopez, Itziar Landa-Torres:
Industrial Pump Condition Monitoring with Audio Samples: a Low-Rank Linear Autoencoder Feature Extraction Approach. COINS 2024: 1-5 - [c35]Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera:
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. IJCNN 2024: 1-8 - [i11]Alain Andres, Aitor Martínez-Seras, Ibai Laña, Javier Del Ser:
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications. CoRR abs/2411.00818 (2024) - 2023
- [j8]Eric L. Manibardo
A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles. IEEE Trans. Intell. Transp. Syst. 24(8): 8701-8715 (2023) - [c34]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks. ITSC 2023: 4782-4789 - [c33]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: 4790-4797 - [c32]Panagiotis Fafoutellis, Ibai Laña, Javier Del Ser, Eleni I. Vlahogianni:
A Causal Deep Learning Framework for Traffic Forecasting. ITSC 2023: 5047-5053 - [c31]Andoni Aranguren
Isochrone Overlapping: A Novel Approach to Mobility and Infrastructure Planning. ITSC 2023: 6199-6205 - [c30]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: 1-8 - [c29]Javier Del Ser, Alain Andres
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. SSCI 2023: 1346-1351 - [i10]Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser:
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence. CoRR abs/2303.07940 (2023) - 2022
- [j7]Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification. Neural Comput. Appl. 34(13): 10257-10277 (2022) - [j6]Eric L. Manibardo
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? IEEE Trans. Intell. Transp. Syst. 23(7): 6164-6188 (2022) - [c28]Javier Del Ser, Miren Nekane Bilbao
Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks. IJCNN 2022: 1-7 - [c27]Eric L. Manibardo
What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads. ITSC 2022: 1668-1675 - [c26]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: 1683-1689 - [c25]Javier Del Ser, Eric L. Manibardo
On the Potential of Randomization-based Neural Networks for Driving Behavior Classification. ITSC 2022: 2991-2997 - [i9]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 abs/2201.04968 (2022) - [i8]Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser:
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability. CoRR abs/2210.16049 (2022) - 2021
- [j5]Juan Antonio Guerra-Montenegro
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges. Appl. Soft Comput. 102: 107082 (2021) - [j4]Ibai Laña
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability. Sensors 21(4): 1121 (2021) - [c24]Eric L. Manibardo
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. IJCNN 2021: 1-8 - [c23]Eric L. Manibardo
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows. ITSC 2021: 1867-1874 - [c22]Ibai Laña, Izaskun Oregi, Javier Del Ser:
Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations. ITSC 2021: 3183-3189 - [i7]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 abs/2102.08634 (2021) - 2020
- [j3]Elisa Capecci
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks. Evol. Syst. 11(4): 599-613 (2020) - [c21]Eric L. Manibardo
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. IJCNN 2020: 1-8 - [c20]Ibai Laña
Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systems. ITSC 2020: 1-6 - [c19]Eric L. Manibardo
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. ITSC 2020: 1-6 - [c18]Ignacio (Iñaki) Olabarrieta
Effect of Soccer Games on Traffic, Study Case: Madrid. ITSC 2020: 1-5 - [c17]Eneko Osaba, Aritz D. Martinez
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking. ITSC 2020: 1-8 - [c16]Javier Del Ser
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment. ITSC 2020: 1-6 - [i6]Ibai Lana, 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. CoRR abs/2002.02210 (2020) - [i5]Eric L. Manibardo
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. CoRR abs/2003.14304 (2020) - [i4]Javier Del Ser, Ibai Lana, 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. CoRR abs/2004.08170 (2020) - [i3]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 abs/2005.05066 (2020) - [i2]Eric L. Manibardo
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. CoRR abs/2005.05069 (2020) - [i1]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? CoRR abs/2012.02260 (2020)
2010 – 2019
- 2019
- [c15]Antonio D. Masegosa, Eneko Osaba
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks. GECCO (Companion) 2019: 1312-1320 - [c14]Ismael Estalayo, Eneko Osaba, Ibai Laña
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates. ITSC 2019: 1336-1342 - [c13]Ibai Laña
A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability. ITSC 2019: 1922-1928 - [c12]Alejandro Barredo Arrieta, Ibai Laña
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting. ITSC 2019: 2232-2237 - [c11]Javier Del Ser
Road Traffic Forecasting using Stacking Ensembles of Echo State Networks. ITSC 2019: 2591-2597 - 2018
- [j2]Ibai Lana
Road Traffic Forecasting: Recent Advances and New Challenges. IEEE Intell. Transp. Syst. Mag. 10(2): 93-109 (2018) - [j1]Jesus L. Lobo
Evolving Spiking Neural Networks for online learning over drifting data streams. Neural Networks 108: 1-19 (2018) - [c10]Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laña
Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. ICONIP (1) 2018: 571-581 - [c9]Jesus L. Lobo
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks. IDC 2018: 82-94 - [c8]Ibai Laña
Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks. IDC 2018: 192-203 - [c7]Eneko Osaba
Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs. ITSC 2018: 865-870 - 2017
- [c6]Javier Del Ser
Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria. CEC 2017: 480-487 - [c5]Ibai Lana
A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting. CEC 2017: 706-713 - [c4]Ibai Laña
Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks. ICHSA 2017: 91-100 - [c3]Ignacio (Iñaki) Olabarrieta
A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics. ICHSA 2017: 101-111 - 2016
- [c2]Jesus L. Lobo
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift. IDC 2016: 237-246 - [c1]Ibai Lana
Understanding daily mobility patterns in urban road networks using traffic flow analytics. NOMS 2016: 1157-1162
Coauthor Index
aka: Eric L. Manibardo
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last updated on 2024-12-12 20:55 CET by the dblp team
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