3 papers
cs.CL2023
Insights Into the Nutritional Prevention of Macular Degeneration based on a Comparative Topic Modeling Approach
Lucas Cassiel Jacaruso
Topic modeling and text mining are subsets of Natural Language Processing (NLP) with relevance for conducting meta-analysis (MA) and systematic review (SR). For evidence synthesis,…
eess.SP2021
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data
Lucas Cassiel Jacaruso
Deep learning methods have shown suitability for time series classification in the health and medical domain, with promising results for electrocardiogram data classification. Succ…
cs.LG2021
Free congruence: an exploration of expanded similarity measures for time series data
Lucas Cassiel Jacaruso
Time series similarity measures are highly relevant in a wide range of emerging applications including training machine learning models, classification, and predictive modeling. St…