Peer-reviewed Articles - Computer sci

106 downloads
960 views

Cervical cancer remains a significant cause of mortality all around the world, even if it can be prevented and cured by removing affected tissues in early stages. Providing universal and efficient access to cervical screening programs is a challenge that requires...

["Bioinformatics","Computational Biology","Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.154
58 downloads
485 views

Over the last decades, clinical decision support systems have been gaining importance. They help clinicians to make effective use of the overload of available information to obtain correct diagnoses and appropriate treatments. However, their power often comes at...

["Data Mining and Machine Learning","Data Science","Optimization Theory and Computation"]
doi:10.7717/peerj-cs.150
109 downloads
879 views

The relationship between a driver’s glance orientation and corresponding head rotation is highly complex due to its nonlinear dependence on the individual, task, and driving context. This paper presents expanded analytic detail and findings from an effort that...

["Human-Computer Interaction","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.146
3 citations
358 downloads
1,390 views

Background Artificial neural networks (ANNs) are a robust class of machine learning models and are a frequent choice for solving classification problems. However, determining the structure of the ANNs is not trivial as a large number of weights (connection links)...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.137
4 citations
916 downloads
5,091 views

We present a CUDA-based implementation of a decision tree construction algorithm within the gradient boosting library XGBoost. The tree construction algorithm is executed entirely on the graphics processing unit (GPU) and shows high performance with a variety of...

["Artificial Intelligence","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj-cs.127
2 citations
774 downloads
2,050 views

Background The availability of large databases containing high resolution three-dimensional (3D) models of proteins in conjunction with functional annotation allows the exploitation of advanced supervised machine learning techniques for automatic protein function...

["Bioinformatics","Computational Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.124
240 downloads
1,291 views

Despite recent algorithmic improvements, learning the optimal structure of a Bayesian network from data is typically infeasible past a few dozen variables. Fortunately, domain knowledge can frequently be exploited to achieve dramatic computational savings, and...

["Artificial Intelligence","Data Mining and Machine Learning","Data Science","Distributed and Parallel Computing"]
doi:10.7717/peerj-cs.122
293 downloads
1,780 views

Motivation Scientists increasingly rely on intelligent information systems to help them in their daily tasks, in particular for managing research objects, like publications or datasets. The relatively young research field of Semantic Publishing has been addressing...

["Human-Computer Interaction","Artificial Intelligence","Data Mining and Machine Learning","Digital Libraries"]
doi:10.7717/peerj-cs.121
1 citation
224 downloads
1,427 views

We developed a web-based cloud-hosted system that allow users to archive, listen, visualize, and annotate recordings. The system also provides tools to convert these annotations into datasets that can be used to train a computer to detect the presence or absence...

["Bioinformatics","Computational Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.113
392 downloads
1,432 views

Music transcription involves the transformation of an audio recording to common music notation, colloquially referred to as sheet music. Manually transcribing audio recordings is a difficult and time-consuming process, even for experienced musicians. In response,...

["Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj-cs.109
3 citations
445 downloads
1,622 views

Online Social Networks (OSNs) have been widely adopted as a means of news dissemination, event reporting, opinion expression and discussion. As a result, news and events are being constantly reported and discussed online through OSNs such as Twitter. However, the...

["Data Mining and Machine Learning","Network Science and Online Social Networks","Social Computing"]
doi:10.7717/peerj-cs.107
2 citations
202 downloads
1,389 views

Synthesizing human movement is useful for most applications where the use of avatars is required. These movements should be as realistic as possible and thus must take into account anthropometric characteristics (weight, height, etc.), gender, and the performance...

["Data Mining and Machine Learning","Graphics","Scientific Computing and Simulation"]
doi:10.7717/peerj-cs.102
14 citations
4,635 downloads
34,488 views

Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving judicial decisions. This can be useful, for both lawyers and judges, as an assisting tool to rapidly...

["Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning","Data Science","Natural Language and Speech"]
doi:10.7717/peerj-cs.93
6 citations
465 downloads
2,617 views

Ascribing function to sequence in the absence of biological data is an ongoing challenge in bioinformatics. Differentiating the toxins of venomous animals from homologues having other physiological functions is particularly problematic as there are no universally...

["Bioinformatics","Computational Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.90
1 citation
379 downloads
1,931 views

We describe a method for assessing data set complexity based on the estimation of the underlining probability distribution and Hellinger distance. In contrast to some popular complexity measures, it is not focused on the shape of a decision boundary in a classification...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.76

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