Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. In practice, much of this work will be performed by multiple observers, and maximising inter-observer consistency is of particular importance. Another discipline where consistency in classification is vital is biological taxonomy. A classification tool of great utility, the binary key, is designed to simplify the classification decision process and ensure consistent identification of proper categories. We show how this same decision-making tool - the binary key - can be used to promote consistency in the classification of behaviour. The construction of a binary key also ensures that the categories in which behaviour is classified are co...
To a certain extent the everyday incidents of life occur in a chaotic and orderless fashion. But in ...
Most binary classifiers work by processing the input to produce a scalar response and comparing it t...
The present study consisted of eleven experiments divided between two series of studies. The first ...
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. ...
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. ...
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. ...
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. ...
Binary classification is a fundamental task in machine learning, with applications spanning various ...
Various algorithms are capable of learning a set of classification rules from a number of observatio...
Automated quantification of behavior is increasingly prevalent in neuroscience research. Human judgm...
Previous work has shown that the information value of requests can be manipulated by controlling the...
Making binary decisions is a common data analytical task in scientific research and industrial appli...
Studies that evaluate the accuracy of binary classification tools are needed. Such studies provide 2...
This study sought to provide guidelines for implementing typology-based qualitative analysis of huma...
Abstract. Binary classification methods can be generalized in many ways to handle multiple classes. ...
To a certain extent the everyday incidents of life occur in a chaotic and orderless fashion. But in ...
Most binary classifiers work by processing the input to produce a scalar response and comparing it t...
The present study consisted of eleven experiments divided between two series of studies. The first ...
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. ...
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. ...
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. ...
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. ...
Binary classification is a fundamental task in machine learning, with applications spanning various ...
Various algorithms are capable of learning a set of classification rules from a number of observatio...
Automated quantification of behavior is increasingly prevalent in neuroscience research. Human judgm...
Previous work has shown that the information value of requests can be manipulated by controlling the...
Making binary decisions is a common data analytical task in scientific research and industrial appli...
Studies that evaluate the accuracy of binary classification tools are needed. Such studies provide 2...
This study sought to provide guidelines for implementing typology-based qualitative analysis of huma...
Abstract. Binary classification methods can be generalized in many ways to handle multiple classes. ...
To a certain extent the everyday incidents of life occur in a chaotic and orderless fashion. But in ...
Most binary classifiers work by processing the input to produce a scalar response and comparing it t...
The present study consisted of eleven experiments divided between two series of studies. The first ...