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04/07/2022
Forecasting new diseases in low-data settings using transfer learning
Recent infectious disease outbreaks, such as the COVID-19 pandemic and t...
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10/07/2021
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia
Mental disorders are among the leading causes of disability worldwide. T...
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06/22/2021
Neural Networks for Dengue Prediction: A Systematic Review
Due to a lack of treatments and universal vaccine, early forecasts of De...
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02/15/2021
A modified closed-form maximum likelihood estimator
The maximum likelihood estimator plays a fundamental role in statistics....
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12/28/2020
Objective Bayesian Analysis for the Differential Entropy of the Gamma Distribution
The use of entropy related concepts goes from physics, such as in statis...
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11/17/2020
Sampling with censored data: a practical guide
In this review, we present a simple guide for researchers to obtain pseu...
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09/16/2020
Discovering causal factors of drought in Ethiopia
Drought is a costly natural hazard, many aspects of which remain poorly ...
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08/21/2020
Power laws in the Roman Empire: a survival analysis
The Roman Empire shaped Western civilization, and many Roman principles ...
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05/15/2020
Power laws distributions in objective priors
The use of objective prior in Bayesian applications has become a common ...
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08/08/2018
Pattern Recognition Approach to Violin Shapes of MIMO database
Since the landmarks established by the Cremonese school in the 16th cent...
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08/07/2018
Mobility helps problem-solving systems to avoid Groupthink
Groupthink occurs when everyone in a group starts thinking alike, as whe...
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12/08/2017
Crime prediction through urban metrics and statistical learning
Understanding the causes of crime is a longstanding issue in researcher'...
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12/26/2016
Clustering Algorithms: A Comparative Approach
Many real-world systems can be studied in terms of pattern recognition t...
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06/17/2016
