Peer-reviewed Articles - Biology

86 downloads
331 views

We address the problem of inferring the causal direction between two variables by comparing the least-squares errors of the predictions in both possible directions. Under the assumption of an independence between the function relating cause and effect, the conditional...

["Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.169
61 downloads
241 views

We present a study on co-authorship network representation based on network embedding together with additional information on topic modeling of research papers and new edge embedding operator. We use the link prediction (LP) model for constructing a recommender...

["Artificial Intelligence","Data Mining and Machine Learning","Digital Libraries","Network Science and Online Social Networks","World Wide Web and Web Science"]
doi:10.7717/peerj-cs.172
75 downloads
326 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:10.7717/peerj-cs.170
190 downloads
673 views

A learning algorithm is proposed for the task of Arabic Handwritten Character and Digit recognition. The architecture consists on an ensemble of different Convolutional Neural Networks. The proposed training algorithm uses a combination of adaptive gradient descent...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Computer Vision","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.167
157 downloads
963 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
1 citation
330 downloads
1,354 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
2 citations
916 downloads
2,475 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
154 downloads
944 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
1 citation
217 downloads
1,358 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
645 downloads
2,059 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
10 citations
1,388 downloads
7,325 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
3 citations
1,213 downloads
2,804 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
457 downloads
2,019 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
1 citation
477 downloads
2,411 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
334 downloads
1,829 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

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