4 papers
Multi-source Transfer Learning of Time Series with a Shapelet-based Distance Measure
Jiseok Lee, Brian Kenji Iwana
Transfer learning is an effective technique for addressing data scarcity in deep learning for time series classification, but its success depends on the selection of source dataset…
Adversarial Attacks on Online Handwriting using Salience-based Temporal Editing
Yataro Tamura, Brian Kenji Iwana, Jiseok Lee
Deep learning models for online handwriting recognition have been shown effective and are increasingly deployed in practical applications. However, their vulnerability to adversari…
Towards Time Series Generation Conditioned on Unstructured Natural Language
Jaeyun Woo, Jiseok Lee, Brian Kenji Iwana
Generative Artificial Intelligence (AI) has rapidly become a powerful tool, capable of generating various types of data, such as images and text. However, despite the significant a…
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification
Jiseok Lee, Brian Kenji Iwana
Transfer learning is a common practice that alleviates the need for extensive data to train neural networks. It is performed by pre-training a model using a source dataset and fine…