{"total":26,"rows":[{"id":"2111.00418","title":"Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances","created":"2021-10-31","cited_by_count":54,"area":null},{"id":"2206.13508","title":"Data Augmentation techniques in time series domain: A survey and taxonomy","created":"2022-06-25","cited_by_count":41,"area":null},{"id":"2309.03755","title":"TSGBench: Time Series Generation Benchmark","created":"2023-09-07","cited_by_count":26,"area":null},{"id":"2204.04797","title":"Multi-Label Clinical Time-Series Generation via Conditional GAN","created":"2022-04-10","cited_by_count":16,"area":null},{"id":"2101.03678","title":"Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation","created":"2021-01-11","cited_by_count":15,"area":null},{"id":"2310.10060","title":"Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey","created":"2023-10-16","cited_by_count":9,"area":null},{"id":"2311.01388","title":"Time-series Generation by Contrastive Imitation","created":"2023-11-02","cited_by_count":9,"area":null},{"id":"2402.06318","title":"TimEHR: Image-based Time Series Generation for Electronic Health Records","created":"2024-02-09","cited_by_count":8,"area":null},{"id":"2303.14254","title":"Towards Diverse and Coherent Augmentation for Time-Series Forecasting","created":"2023-03-24","cited_by_count":7,"area":null},{"id":"2103.01904","title":"A Spectral Enabled GAN for Time Series Data Generation","created":"2021-03-02","cited_by_count":6,"area":null},{"id":"2110.12365","title":"Conditional Generation of Periodic Signals with Fourier-Based Decoder","created":"2021-10-24","cited_by_count":6,"area":null},{"id":"2410.21203","title":"SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning","created":"2024-10-28","cited_by_count":6,"area":null},{"id":"2304.11702","title":"Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions","created":"2023-04-23","cited_by_count":4,"area":null},{"id":"2406.06518","title":"Data Augmentation for Multivariate Time Series Classification: An Experimental Study","created":"2024-06-10","cited_by_count":3,"area":null},{"id":"2508.02758","title":"CTBench: Cryptocurrency Time Series Generation Benchmark","created":"2025-08-03","cited_by_count":3,"area":null},{"id":"2108.08976","title":"ASAT: Adaptively Scaled Adversarial Training in Time Series","created":"2021-08-20","cited_by_count":2,"area":null},{"id":"2409.14013","title":"ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation","created":"2024-09-21","cited_by_count":2,"area":null},{"id":"2210.07617","title":"Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain","created":"2022-10-14","cited_by_count":1,"area":null},{"id":"2304.04271","title":"Embarrassingly Simple MixUp for Time-series","created":"2023-04-09","cited_by_count":1,"area":null},{"id":"2309.12380","title":"Methods for generating and evaluating synthetic longitudinal patient data: a systematic review","created":"2023-09-21","cited_by_count":1,"area":null},{"id":"2409.03612","title":"VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-Series Data","created":"2024-09-05","cited_by_count":1,"area":null},{"id":"2201.06147","title":"Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks","created":"2022-01-12","cited_by_count":0,"area":null},{"id":"2309.04732","title":"TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering","created":"2023-09-09","cited_by_count":0,"area":null},{"id":"2309.04733","title":"A Spatiotemporal Deep Neural Network for Fine-Grained Multi-Horizon Wind Prediction","created":"2023-09-09","cited_by_count":0,"area":null},{"id":"2401.05295","title":"Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN)","created":"2024-01-10","cited_by_count":0,"area":null},{"id":"2402.19287","title":"StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds","created":"2024-02-29","cited_by_count":0,"area":null}],"next_cursor":null}