# Lhassane Idoumghar

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/lhassane-idoumghar/

## Facts

| Field | Value |
| --- | --- |
| Citations | 5,871 |
| Field | Metaheuristic Optimization Algorithms Research |
| h-index | 25 |
| i10-index | 60 |
| Last Known Institution | Université de Haute-Alsace |
| OpenAlex ID | https://openalex.org/A5077151661 |
| ORCID iD | 0000-0001-8853-3968 |
| Works | 241 |

## Researcher papers

- [Deep learning for time series classification: a review](https://scholariq.org/papers/deep-learning-for-time-series-classification-a-review/)
- [Transfer learning for time series classification](https://scholariq.org/papers/transfer-learning-for-time-series-classification/)
- [Adversarial Attacks on Deep Neural Networks for Time Series Classification](https://scholariq.org/papers/adversarial-attacks-on-deep-neural-networks-for-time-series-classification/)
- [Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks](https://scholariq.org/papers/evaluating-surgical-skills-from-kinematic-data-using-convolutional-neural/)
- [Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks](https://scholariq.org/papers/accurate-and-interpretable-evaluation-of-surgical-skills-from-kinematic-data/)
- [Deep Neural Network Ensembles for Time Series Classification](https://scholariq.org/papers/deep-neural-network-ensembles-for-time-series-classification/)
- [Data augmentation using synthetic data for time series classification\n with deep residual networks](https://scholariq.org/papers/data-augmentation-using-synthetic-data-for-time-series-classification-n-with/)
- [Recent trends in crowd analysis: A review](https://scholariq.org/papers/recent-trends-in-crowd-analysis-a-review/)
- [Hybrid Differential Evolution Algorithm Employed for the Optimum Design of a High-Speed PMSM Used for EV Propulsion](https://scholariq.org/papers/hybrid-differential-evolution-algorithm-employed-for-the-optimum-design-of-a/)
- [Data augmentation using synthetic data for time series classification with deep residual networks](https://scholariq.org/papers/data-augmentation-using-synthetic-data-for-time-series-classification-with-deep/)
- [Surgical motion analysis using discriminative interpretable patterns](https://scholariq.org/papers/surgical-motion-analysis-using-discriminative-interpretable-patterns/)

## Researcher topics

- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)
- [Advanced Multi-Objective Optimization Algorithms](https://scholariq.org/topics/advanced-multi-objective-optimization-algorithms/)
- [Electric Vehicles and Infrastructure](https://scholariq.org/topics/electric-vehicles-and-infrastructure/)
- [Evolutionary Algorithms and Applications](https://scholariq.org/topics/evolutionary-algorithms-and-applications/)
- [Advanced Battery Technologies Research](https://scholariq.org/topics/advanced-battery-technologies-research/)

## Researcher university

- [Université de Haute-Alsace](https://scholariq.org/institutions/universite-de-haute-alsace/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.