Minimizing bias is critical to adoption and implementation of machine learning (ML) in clinical p... more Minimizing bias is critical to adoption and implementation of machine learning (ML) in clinical practice. Systematic mathematical biases produce consistent and reproducible differences between the observed and expected performance of ML systems, resulting in suboptimal performance. Such biases can be traced back to various phases of ML development: data handling, model development, and performance evaluation. This report presents 12 suboptimal practices during data handling of an ML study, explains how those practices can lead to biases, and describes what may be done to mitigate them. Authors employ an arbitrary and simplified framework that splits ML data handling into four steps: data collection, data investigation, data splitting, and feature engineering. Examples from the available research literature are provided. A Google Colaboratory Jupyter notebook includes code examples to demonstrate the suboptimal practices and steps to prevent them.
Bulletin of the Geological Society of Greece, 2018
High resolution techniques for data acquisition and processing procedures are increasingly applie... more High resolution techniques for data acquisition and processing procedures are increasingly applied in near-surface geophysics for archaeology. In this paper we present the preliminary results of two geophysical measurements campaigns aimed to the investigation of buried remains in the archaeological sites of Θουρία (Péloponnèse, Hellas) and Sibari (Southern Italy). In the first field survey the geophysical approach involved the integrated application of the geoelectrical and magnetic methods and an innovative tomographic analysis for the inversion of both resistivity and magnetic data. In the second case, we carried out high resolution magnetic measurements, interpreted by means of the use of an appropriate filtering procedure. The applied data inversion allows us to provide reliable space patterns of the most probable specific target boundaries, improving the information quality of geophysical methods. The results obtained at this early stage of data processing confirm some archaeo...
Page 244. 3 Die Literatur der Kaiserzeit GIAN BIAGIO CONTE 3.1 Die frühere Kaiserzeit: Tiberius b... more Page 244. 3 Die Literatur der Kaiserzeit GIAN BIAGIO CONTE 3.1 Die frühere Kaiserzeit: Tiberius bis Domitian 3.1. 1 Kultur und Schauspiel Die augusteische Literatur hatte ein organisches System der Gattungen be-gründen ...
Judicial process and scholarly procedures: evidence, witnesses This paper aims to find contact po... more Judicial process and scholarly procedures: evidence, witnesses This paper aims to find contact points between the theoretical principles of law and the methodological principles of textual criticism. Those points are mainly two: evidence and witnesses. The arguments will use examples from textual criticism on both ancient Greek and Latin texts.
Minimizing bias is critical to adoption and implementation of machine learning (ML) in clinical p... more Minimizing bias is critical to adoption and implementation of machine learning (ML) in clinical practice. Systematic mathematical biases produce consistent and reproducible differences between the observed and expected performance of ML systems, resulting in suboptimal performance. Such biases can be traced back to various phases of ML development: data handling, model development, and performance evaluation. This report presents 12 suboptimal practices during data handling of an ML study, explains how those practices can lead to biases, and describes what may be done to mitigate them. Authors employ an arbitrary and simplified framework that splits ML data handling into four steps: data collection, data investigation, data splitting, and feature engineering. Examples from the available research literature are provided. A Google Colaboratory Jupyter notebook includes code examples to demonstrate the suboptimal practices and steps to prevent them.
Bulletin of the Geological Society of Greece, 2018
High resolution techniques for data acquisition and processing procedures are increasingly applie... more High resolution techniques for data acquisition and processing procedures are increasingly applied in near-surface geophysics for archaeology. In this paper we present the preliminary results of two geophysical measurements campaigns aimed to the investigation of buried remains in the archaeological sites of Θουρία (Péloponnèse, Hellas) and Sibari (Southern Italy). In the first field survey the geophysical approach involved the integrated application of the geoelectrical and magnetic methods and an innovative tomographic analysis for the inversion of both resistivity and magnetic data. In the second case, we carried out high resolution magnetic measurements, interpreted by means of the use of an appropriate filtering procedure. The applied data inversion allows us to provide reliable space patterns of the most probable specific target boundaries, improving the information quality of geophysical methods. The results obtained at this early stage of data processing confirm some archaeo...
Page 244. 3 Die Literatur der Kaiserzeit GIAN BIAGIO CONTE 3.1 Die frühere Kaiserzeit: Tiberius b... more Page 244. 3 Die Literatur der Kaiserzeit GIAN BIAGIO CONTE 3.1 Die frühere Kaiserzeit: Tiberius bis Domitian 3.1. 1 Kultur und Schauspiel Die augusteische Literatur hatte ein organisches System der Gattungen be-gründen ...
Judicial process and scholarly procedures: evidence, witnesses This paper aims to find contact po... more Judicial process and scholarly procedures: evidence, witnesses This paper aims to find contact points between the theoretical principles of law and the methodological principles of textual criticism. Those points are mainly two: evidence and witnesses. The arguments will use examples from textual criticism on both ancient Greek and Latin texts.
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