5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization
Alireza Ghods, Trong Nghia Hoang, Diane Cook
Data summarization is the process of generating interpretable and representative subsets from a dataset. Existing time series summarization approaches often search for recurring su…
cs.LG2019★ 3 cited
A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization
Alireza Ghods, Diane J Cook
Deep neural networks have introduced novel and useful tools to the machine learning community. Other types of classifiers can potentially make use of these tools as well to improve…
cs.LG2019★ 5 cited
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model
Alireza Ghods, Diane J. Cook
Recognizing activities of daily living (ADLs) plays an essential role in analyzing human health and behavior. The widespread availability of sensors implanted in homes, smartphones…