# Hassan Ismail Fawaz

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hassan-ismail-fawaz/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,384 |
| Field | Anomaly Detection Techniques and Applications |
| h-index | 12 |
| i10-index | 13 |
| Last Known Institution | Saudi Heart Association |
| OpenAlex ID | https://openalex.org/A5044378917 |
| ORCID iD | 0000-0003-1384-5996 |
| Works | 25 |

## 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/)
- [Knowledge-driven Biometric Authentication in Virtual Reality](https://scholariq.org/papers/knowledge-driven-biometric-authentication-in-virtual-reality/)
- [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

- [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/)
- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)

## Researcher university

- [Saudi Heart Association](https://scholariq.org/institutions/saudi-heart-association/)

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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.