Izaskun Oregi

Orcid: 0000-0002-3950-1668

According to our database1, Izaskun Oregi authored at least 30 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Eclipse Qrisp QAOA: description and preliminary comparison with Qiskit counterparts.
CoRR, 2024

Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?
CoRR, 2024

Quantum Optimization Methods for Satellite Mission Planning.
IEEE Access, 2024

2023
A Quantum Computing-based System for Portfolio Optimization using Future Asset Values and Automatic Reduction of the Investment Universe.
CoRR, 2023

Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers.
CoRR, 2023

Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022
An active adaptation strategy for streaming time series classification based on elastic similarity measures.
Neural Comput. Appl., 2022

Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States.
Entropy, 2022

A Systematic Literature Review of Quantum Computing for Routing Problems.
IEEE Access, 2022

Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Hybrid quantum-classical heuristic for the bin packing problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Methodology to Compare Meta-heuristic Algorithms to Solve Selective Harmonic Elimination-PWM and Optimal Pulse Pattern Formulations.
Proceedings of the IECON 2021, 2021

Focusing on the hybrid quantum computing - Tabu search algorithm: new results on the Asymmetric Salesman Problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences.
Neural Networks, 2020

Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning.
Neural Networks, 2020

Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
jMetalPy: A Python framework for multi-objective optimization with metaheuristics.
Swarm Evol. Comput., 2019

On-line Elastic Similarity Measures for time series.
Pattern Recognit., 2019

Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning.
CoRR, 2019

Real-time Electrical Power Prediction in a Combined Cycle Power Plant.
CoRR, 2019

A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Hybridizing differential evolution and novelty search for multimodal optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures.
Proceedings of the Intelligent Distributed Computing XII, 2018

2017
On-Line Dynamic Time Warping for Streaming Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks.
Proceedings of the Harmony Search Algorithm, 2017

Nature-inspired approaches for distance metric learning in multivariate time series classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017


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