Ibai Lana | DeepAI

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Featured Co-authors

Javier Del Ser
61 publications
Eneko Osaba
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Jesus L. Lobo
13 publications
Aritz D. Martinez
9 publications
Izaskun Oregi
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Eric L. Manibardo
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Alejandro Barredo Arrieta
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Miren Nekane Bilbao
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Eleni I. Vlahogianni
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Esther Villar
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∙ 03/14/2023

On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence

AI-based digital twins are at the leading edge of the Industry 4.0 revol...

0 Jesus L. Lobo, et al. ∙

∙ 10/28/2022

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

The estimation of the amount of uncertainty featured by predictive machi...

0 Ibai Lana, et al. ∙

∙ 01/11/2022

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

Traffic forecasting models rely on data that needs to be sensed, process...

4 Eric L. Manibardo, et al. ∙

∙ 02/17/2021

On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification

Since their inception, learning techniques under the Reservoir Computing...

0 Alejandro Barredo Arrieta, et al. ∙

∙ 12/02/2020

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

Deep Learning methods have been proven to be flexible to model complex p...

0 Eric L. Manibardo, et al. ∙

∙ 05/11/2020

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

Multitasking optimization is a recently introduced paradigm, focused on ...

0 Eneko Osaba, et al. ∙

∙ 05/11/2020

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

Multitasking optimization is a recently introduced paradigm, focused on ...

0 Eneko Osaba, et al. ∙

∙ 05/08/2020

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

This work aims at unveiling the potential of Transfer Learning (TL) for ...

0 Eric L. Manibardo, et al. ∙

∙ 04/17/2020

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

In short-term traffic forecasting, the goal is to accurately predict fut...

0 Javier Del Ser, et al. ∙

∙ 03/27/2020

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

This work focuses on classification over time series data. When a time s...

0 Eric L. Manibardo, et al. ∙

∙ 02/06/2020

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

Advances in Data Science are lately permeating every field of Transporta...

0 Ibai Lana, et al. ∙

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