Peer-reviewed Articles

106 downloads
942 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
355 downloads
1,376 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
163 downloads
655 views

Background The emergence of functions in biological systems is a long-standing issue that can now be addressed at the cell level with the emergence of high throughput technologies for genome sequencing and phenotyping. The reconstruction of complete metabolic networks...

["Bioinformatics","Computational Biology","Artificial Intelligence"]
doi:10.7717/peerj.3860
4 citations
914 downloads
5,064 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
239 downloads
1,283 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
1,771 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
414 downloads
2,665 views

The ability to promptly recognise new research trends is strategic for many stakeholders, including universities, institutional funding bodies, academic publishers and companies. While the literature describes several approaches which aim to identify the emergence...

["Artificial Intelligence","Data Science","Digital Libraries"]
doi:10.7717/peerj-cs.119
14 citations
4,626 downloads
34,437 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
180 downloads
1,124 views

The reality gap is the discrepancy between simulation and reality—the same behavioural algorithm results in different robot swarm behaviours in simulation and in reality (with real robots). In this paper, we study the effect of the reality gap on the psychophysiological...

["Human-Computer Interaction","Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Artificial Intelligence","Robotics"]
doi:10.7717/peerj-cs.82
5 citations
734 downloads
2,272 views

Due to the rapid development of information technology, the Internet has gradually become a part of everyday life. People would like to communicate with friends to share their opinions on social networks. The diverse behavior on socials networks is an ideal reflection...

["Artificial Intelligence","Natural Language and Speech","Social Computing"]
doi:10.7717/peerj-cs.81
5 citations
266 downloads
2,142 views

The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While the literature...

["Artificial Intelligence","World Wide Web and Web Science","Software Engineering"]
doi:10.7717/peerj-cs.77
2 citations
280 downloads
1,353 views

Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for...

["Human-Computer Interaction","Artificial Intelligence","Computer Vision"]
doi:10.7717/peerj-cs.75
1 citation
379 downloads
1,927 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
353 downloads
1,354 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
426 downloads
1,417 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

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