Information Sciences
ISSN: 0020-0255
Datasets associated with articles published in Information Sciences
Filter Results
27 results
- Source code for: A Negative Transfer Approach to Person Re-Identification via Domain AugmentationWe provide the source code of this paper for reproducibility.
- Data for: A Process Mining Algorithm to Mixed Multiple Concurrency Short-Loop StructuresContains algorithm and test data, and results display
- Data for: Temporal similarity metrics for latent network reconstruction: The role of time-lag decayOur dataset is gathered from different sources including various disciplines.
- Data for: A Hybrid Data-Level Ensemble to Enable Learning from Highly Imbalanced DatasetThis repo contains 42 highly imbalanced datasets for the paper "A Hybrid Data-Level Ensemble (HD-Ensemble) for Highly Imbalance Learning". 28 of the datasets were extracted from KEEL, and 14 were manually created by ourselvies.
- Data for: Hip-DE: Historical population based mutation strategy in Differential Evolution with parameter adaptive mechanismThe raw data of the Hip-DE algorithm. Code can be fetched via: https://sites.google.com/view/zhenyumeng after acceptance of our paper.
- Data for: Echo-state networks for Soft Sensor design in an SRU processNormalized Input and output variable from a nonlinear dynamical MIMO SRU process of a refinery.
- Data for: DeepEmLAN: Deep Embedding Learning for Attributed NetworksThree kinds of attributed networks are used in our experiments. They are Cora data set, Citeseer data set, and Wiki data set.
- Data for: Long Short-Term Memory-Based Deep Recurrent Neural Networks for Target TrackingThe dataset we simulated for our experiments in the "Long Short-Term Memory-Based Deep Recurrent Neural Networks for Target Tracking". It contains training dataset we used to train our networks and test data we used to obtain the results in the paper.
- Data for: Bidirectional Approximate Reasoning-Based Approach for Decision SupportThis .zip file includes the source coding and data sets.
- Data for: An Incremental Density-Based Clustering Framework using Fuzzy Local ClusteringDataset and algorithm implemented in R programming
1