Preprints (not yet peer-reviewed)

26 downloads
51 views

Clinical studies/trials are experiments or observations on human subjects considered by the scientific community the most appropriate instrument to answer specific research questions on interventions on health outcomes. The time-line of the observations might be...

["Bioinformatics","Clinical Trials","Epidemiology","Statistics","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27385v1
40 downloads
69 views

Playlist recommendation involves producing a set of songs that a user might enjoy. We investigate this problem in three cold-start scenarios: (i) cold playlists, where we recommend songs to form new personalised playlists for an existing user; (ii) cold users,...

["Data Mining and Machine Learning","Data Science"]
doi:10.7287/peerj.preprints.27383v2
39 downloads
95 views

Cognitive neuroscience is the study of how the human brain functions on tasks like decision making, language, perception and reasoning. Deep learning is a class of machine learning algorithms that use neural networks. They are designed to model the responses of...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning","Natural Language and Speech"]
doi:10.7287/peerj.preprints.27377v1
451 downloads
536 views

A long-standing goal in neuroscience has been to bring together neuronal recordings and neural network modeling to understand brain function. Neuronal recordings can inform the development of network models, and network models can in turn provide predictions for...

["Neuroscience","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27340v1
28 downloads
98 views

To compare multiple genome sequences, we transform each primary genome sequence into corresponding k-mer-based vectors. According to the principle of independent component analysis (ICA), the operation can be regarded as mixing multiple source genomic signals via...

["Bioinformatics","Computational Biology","Genomics","Mathematical Biology","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27333v1
65 downloads
157 views

Identification of biologic objects in images is a major source of biodiversity data. Currently this is done by scarce taxonomic experts and data is thus limited in scope and reproducibility. Automated identification in fields such as plankton research or micropaleontology,...

["Paleontology","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27328v1
101 downloads
298 views

Evolutionary algorithms often incorporate ecological concepts to help maintain diverse populations and drive continued innovation. However, while there is strong evidence for the value of ecological dynamics, a lack of overarching theoretical framework renders...

["Computational Biology","Adaptive and Self-Organizing Systems","Data Mining and Machine Learning","Theory and Formal Methods"]
doi:10.7287/peerj.preprints.27315v1
76 downloads
58 views

Background. The world’s last uncontacted indigenous societies in Amazonia have only intermittent and often hostile interactions with the outside world. Knowledge of their locations is essential for urgent protection efforts, but their extreme isolation, small populations,...

["Data Mining and Machine Learning","Spatial and Geographic Information Systems"]
doi:10.7287/peerj.preprints.27307v1
49 downloads
77 views

Background. Test resources are usually limited and therefore it is often not possible to completely test an application before a release. To cope with the problem of scarce resources, development teams can apply defect prediction to identify fault-prone code regions....

["Data Mining and Machine Learning","Software Engineering"]
doi:10.7287/peerj.preprints.27304v1
118 downloads
268 views

Background. Although pathogenic Gram-negative bacteria lack their own ubiquitination machinery, they have evolved or acquired virulence effectors that can manipulate the host ubiquitination process through structural and/or functional mimicry of host machinery....

["Bioinformatics","Computational Biology","Microbiology","Infectious Diseases","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27292v1
39 downloads
77 views

Machine learning is a field of study that uses computational and statistical techniques to enable computers to learn. When machine learning is applied, it functions as an instrument that can solve problems or expand knowledge about the surrounding world. Increasingly,...

["Artificial Intelligence","Computer Vision","Data Mining and Machine Learning","Data Science","Multimedia"]
doi:10.7287/peerj.preprints.27280v1
105 downloads
337 views

Translational models that utilize omics data generated in in vitro studies to predict the drug efficacy of anti-cancer compounds in patients are highly distinct, which complicates the benchmarking process for new computational approaches. In reaction to this, we...

["Computational Biology","Genomics","Statistics","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27256v1
478 downloads
895 views

Pathway and cell-type signatures are patterns present in transcriptome data that are associated with biological processes or phenotypic consequences. These signatures result from specific cell-type and pathway expression, but can require large transcriptomic compendia...

["Bioinformatics","Computational Biology","Genomics","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27229v1
43 downloads
84 views

This paper focuses on the recognition of Activities of Daily Living (ADL) applying pattern recognition techniques to the data acquired by the accelerometer available in the mobile devices. The recognition of ADL is composed by several stages, including data acquisition,...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Data Mining and Machine Learning","Data Science","Mobile and Ubiquitous Computing"]
doi:10.7287/peerj.preprints.27225v1
477 downloads
425 views

In the fifty years since Evarts first recorded single neurons in motor cortex of behaving monkeys, great effort has been devoted to understanding their relation to movement. Yet these single neurons exist within a vast network, the nature of which has been largely...

["Bioengineering","Neuroscience","Computational Science","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27217v1
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