Section Editors

Section Editors provide editorial oversight and community leadership, ensuring a fair and consistent peer review process, and the highest standards of scientific practice in their fields.


Just published in @PeerJCompSci - Reaching for upper bound ROUGE score of extractive summarization methods Read the full article https://t.co/BO6DdHXjiD #ArtificialIntelligence #DataScience #Language #Speech

Matharaarachchi et al. @umanitoba @WesternU publish new research - Minimizing features while maintaining performance in data classification problems Read the full article https://t.co/LcmgTAsKqT #DataMining #MachineLearning #DataScience

Just published in @PeerJCompSci - Empirical mode decomposition using deep learning model for financial market forecasting Read the full article https://t.co/B9JBEfmTUq #DataMining #MachineLearning #DeepLearning

Happy to share our research on improving performance of deduplication methods for "big data" collections, published in @PeerJCompSci https://t.co/Ntbhh7P9LZ The software is used in @OpenAIRE_eu and is available for reuse via @ZENODO_ORG at https://t.co/nU5taVrwmO

Saeedi Nikoo et al. @TUeindhoven examine clone detection for business process models Read the full article https://t.co/WfV7x5wsMm #DataMining #MachineLearning #SoftwareEngineering

Just published in @PeerJCompSci - Gene Ontology Capsule GAN: an improved architecture for protein function prediction Read the full article https://t.co/j31aFN9UAE #Bioinformatics #DataMining #MachineLearning

Just published in @PeerJCompSci - A novel autoencoder approach to feature extraction with linear separability for high-dimensional data Read the full article https://t.co/KaCpGdkTiu #DataMining #MachineLearning #NeuralNetworks