Peer-reviewed Articles - Biology

84 downloads
510 views

We study the problem of combining active learning suggestions to identify informative training examples by empirically comparing methods on benchmark datasets. Many active learning heuristics for classification problems have been proposed to help us pick which...

["Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.157
95 downloads
748 views

The increased interest in analyzing and explaining gender inequalities in tech, media, and academia highlights the need for accurate inference methods to predict a person’s gender from their name. Several such services exist that provide access to large databases...

["Data Mining and Machine Learning","Data Science","Databases","Digital Libraries"]
doi:10.7717/peerj-cs.156
253 downloads
1,490 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
86 downloads
725 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
131 downloads
1,054 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
419 downloads
1,652 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
1,055 downloads
5,835 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
895 downloads
2,350 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
278 downloads
1,534 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
330 downloads
2,039 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
3 citations
252 downloads
1,598 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
415 downloads
1,656 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
481 downloads
1,815 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
223 downloads
1,548 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
18 citations
4,887 downloads
36,096 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

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