# Pierre-Alain Müller

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/pierre-alain-muller/

## Facts

| Field | Value |
| --- | --- |
| Citations | 5,338 |
| Field | Model-Driven Software Engineering Techniques |
| h-index | 20 |
| i10-index | 32 |
| Last Known Institution | Université Paris Cité |
| OpenAlex ID | https://openalex.org/A5014963512 |
| Works | 73 |

## Researcher papers

- [Deep learning for time series classification: a review](https://scholariq.org/papers/deep-learning-for-time-series-classification-a-review/)
- [Weaving Executability into Object-Oriented Meta-languages](https://scholariq.org/papers/weaving-executability-into-object-oriented-meta-languages/)
- [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/)
- [Qualifying input test data for model transformations](https://scholariq.org/papers/qualifying-input-test-data-for-model-transformations/)
- [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/)

## Researcher topics

- [Model-Driven Software Engineering Techniques](https://scholariq.org/topics/model-driven-software-engineering-techniques/)
- [Service-Oriented Architecture and Web Services](https://scholariq.org/topics/service-oriented-architecture-and-web-services/)
- [Advanced Software Engineering Methodologies](https://scholariq.org/topics/advanced-software-engineering-methodologies/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)

## Researcher university

- [Université Paris Cité](https://scholariq.org/institutions/universite-paris-cite/)

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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.