Peer-reviewed Articles

125 downloads
816 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
69 downloads
644 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
91 downloads
762 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
142 downloads
1,211 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
8 citations
3,189 downloads
26,142 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
112 downloads
702 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
1 citation
406 downloads
1,341 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
3 citations
201 downloads
1,613 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
173 downloads
881 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
214 downloads
1,191 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
219 downloads
891 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
353 downloads
1,002 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
5 citations
673 downloads
2,258 views

Motivation. Finding relevant scientific literature is one of the essential tasks researchers are facing on a daily basis. Digital libraries and web information retrieval techniques provide rapid access to a vast amount of scientific literature. However, no further...

["Artificial Intelligence","Digital Libraries","Natural Language and Speech"]
doi:10.7717/peerj-cs.37
323 downloads
1,242 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
1 citation
312 downloads
860 views

In this communication a representation of the links between DNA-relatives based on Graph Theory is applied to the analysis of personal genomic data to obtain genealogical information. The method is tested on both simulated and real data and its applicability to...

["Computational Biology","Artificial Intelligence","Visual Analytics"]
doi:10.7717/peerj-cs.27

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