Melesio Crespo-Sanchez
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View article: A Mexican Enhanced Dataset of Pollutant Releases and Transfers (2004 to 2022) with IARC Cancer Classifications
A Mexican Enhanced Dataset of Pollutant Releases and Transfers (2004 to 2022) with IARC Cancer Classifications Open
As a member of the North American Free Trade Agreement, the Mexican Ministry of Environment and Natural Resources publishes the Pollutant Releases and Transfers Registry of Substances annually, in accordance with the Official Mexican Norm …
View article: Evaluating Deep Learning Techniques for Sugarcane Disease Classification
Evaluating Deep Learning Techniques for Sugarcane Disease Classification Open
Recent studies have explored the use of deep learning algorithms for the early detection of diseases. This work presents a comparative analysis of three state-of-the-art deep learning model architectures applied to this task. A study was c…
View article: Spectrep: A software for spectral representation of text content
Spectrep: A software for spectral representation of text content Open
Spectrep (Spectral Representation) implements a text representation framework for obtaining a multi-view representation that consolidates lexical, syntactic, and semantic features by structuring a workflow with popular text processing tool…
View article: Spectrep: A Software for Spectral Representation of Text Content
Spectrep: A Software for Spectral Representation of Text Content Open
View article: A Generalized Clustering Method Based on Validity Indices and Membership Functions
A Generalized Clustering Method Based on Validity Indices and Membership Functions Open
Clustering is an important task in data analysis to find a partition on an unlabeled dataset based on similarity relationships among its elements. Typically, such similarity is determined by a proximity measure or distance. Then, the optim…