• AIDA – Auto-encoding-based anomaly detection for Intrusion Detection via clAssification
  • ARES – Association Rule Extractor from Spatial data
  • ATRE – a machine learning system for the induction of recursive logical theories
  • BEE – Biomedical Entity Extractor
  • ComiRNEt – The Database of Predicted miRNAs Regulatory Networks
  • CoNeRa COllective NEtwork Regression via Active learning
  • CORSO – Clustering Of Related Structured Objects
  • CoSTKCoKriging based Spatio-Temporal Interpolate
  • CVARSpatio-temporal Cluster-based Vector AutoRegressive model
  • Ensemble MT-MrSBC – Ensemble multi-type classification in Heterogeneous Networks
  • HENPC – Multi-Type Clustering and Classification from Heterogeneous Networks
  • HOCCLUS: Hierarchical Overlapping Co-CLUStering:
  • ImagePPMiner – an approach which uses Convolutional Neural Networks for Predictive Process Analytics
  • ICT-TICT – (Time-evolving) Interpolative Clustering Tree Learners
  • jKarma – Pattern-based change detection system
  • KBD2000 –  a KDD support system
  • Kometa – Knowledge COMmunity for Efficient TrAining through Virtual Technologies
  • MINDFUL – MultI-chanNel Deep FeatUre Learning for intrusion detection
  • MTA – MeSH Term Associator
  • MURENA – a MUlti RElational aNAlyzer
  • Potato routines – Used for experiments on decision tree pruning (Direct download)
  • S2COTRAC Spectral-Spatial Co-Training Algorithm for the Transductive Classification of Hyperspectral Imagery Data
  • S2TEC Spectral and Spatio-relational Transductive Ensemble of Classifiers
  • SoCRATE Spectral-spatial CoRrelation SegmenTation based ClAssifier
  • SONN – Symbolic object K-NN classifier
  • SUMATRA-TRECI – COUNT-BASED WINDOW TREND CLUSTER discovery: Summarization and Interpolation
  • SWOD – SLIDING WINDOW INCREMENTAL TREND CLUSTER discovery: Outlier Detection and Classification
  • Webclass – a Web Mining system for the automated classification of Web pages
  • WISDOM++  an intelligent document processing system