Machine learning techniques and drug design
The interest in the application of machine learning techniques (MLT) as drug design tools is
growing in the last decades. The reason for this is related to the fact that the drug design is …
growing in the last decades. The reason for this is related to the fact that the drug design is …
[PDF][PDF] A comparative study of training algorithms for supervised machine learning
Classification in data mining has gained a lot of importance in literature and it has a great
deal of application areas from medicine to astronomy, from banking to text classification.. It …
deal of application areas from medicine to astronomy, from banking to text classification.. It …
Speech graphs provide a quantitative measure of thought disorder in psychosis
NB Mota, NAP Vasconcelos, N Lemos, AC Pieretti… - PloS one, 2012 - journals.plos.org
Background Psychosis has various causes, including mania and schizophrenia. Since the
differential diagnosis of psychosis is exclusively based on subjective assessments of oral …
differential diagnosis of psychosis is exclusively based on subjective assessments of oral …
Computer-aided techniques for chromogenic immunohistochemistry: status and directions
Although immunohistochemistry (IHC) is a popular imaging technique, the quantitative
analysis of IHC images via computer-aided methods is an emerging field that is gaining …
analysis of IHC images via computer-aided methods is an emerging field that is gaining …
Toward comprehensible software fault prediction models using bayesian network classifiers
K Dejaeger, T Verbraken… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Software testing is a crucial activity during software development and fault prediction models
assist practitioners herein by providing an upfront identification of faulty software code by …
assist practitioners herein by providing an upfront identification of faulty software code by …
Regional land cover mapping and change detection in Central Asia using MODIS time-series
In Central Asia major alterations in land use and land cover occurred in the past decades
due to political collapse of the Soviet Union, human forces, and climate change. In this …
due to political collapse of the Soviet Union, human forces, and climate change. In this …
Grapevine yield and leaf area estimation using supervised classification methodology on RGB images taken under field conditions
The aim of this research was to implement a methodology through the generation of a
supervised classifier based on the Mahalanobis distance to characterize the grapevine …
supervised classifier based on the Mahalanobis distance to characterize the grapevine …
Lexical and syntactic representations in the brain: an fMRI investigation with multi-voxel pattern analyses
Work in theoretical linguistics and psycholinguistics suggests that human linguistic
knowledge forms a continuum between individual lexical items and abstract syntactic …
knowledge forms a continuum between individual lexical items and abstract syntactic …
Kernel sparse representation based classification
Sparse representation has attracted great attention in the past few years. Sparse
representation based classification (SRC) algorithm was developed and successfully used …
representation based classification (SRC) algorithm was developed and successfully used …
On the automatic categorisation of android applications
The presence of mobile devices has increased in our lives offering almost the same
functionality as a personal computer. Android devices have appeared lately and, since then …
functionality as a personal computer. Android devices have appeared lately and, since then …