Peer-reviewed Articles - Computer sci

86 downloads
339 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
64 downloads
255 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
192 downloads
679 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
2 citations
919 downloads
2,485 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
3 citations
649 downloads
2,060 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
1,391 downloads
7,329 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
457 downloads
2,020 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
481 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
30 citations
6,031 downloads
41,460 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
1 citation
591 downloads
2,528 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
522 downloads
1,815 views

It is a well-known fact that some criminals follow perpetual methods of operations known as modi operandi. Modus operandi is a commonly used term to describe the habits in committing crimes. These modi operandi are used in relating criminals to crimes for which...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.65
549 downloads
1,719 views

We describe and experimentally validate a question-asking framework for machine-learned linguistic knowledge about human emotions. Using the Socratic method as a theoretical inspiration, we develop an experimental method and computational model for computers to...

["Agents and Multi-Agent Systems","Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning","Natural Language and Speech"]
doi:10.7717/peerj-cs.40
3 citations
780 downloads
1,770 views

An activity fundamental to science is building mathematical models. These models are used to both predict the results of future experiments and gain insight into the structure of the system under study. We present an algorithm that automates the model building...

["Artificial Intelligence","Data Mining and Machine Learning","Scientific Computing and Simulation"]
doi:10.7717/peerj-cs.31

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