Releases: tommyippoz/RELOAD
Reload V7.1 (ARTISAN 2022)
Memory Optimization
RELOAD V7.0
Latest Version of RELOAD
Stable for
- Unsupervised Algorithms
- Meta Learning
- Loading CSV/ARFF files
RELOAD V6.5
Preliminary version of RELOAD which includes Meta-Learning
- refactoring of the code to reduce RAM usage
- speedup of training phase
RELOAD V6 For DSN Attendees
Release to support Tutorial
Into the Unknown: Unsupervised Machine Learning Algorithms for Anomaly-Based Intrusion Detection
RELOAD V5.7
Refactoring of RELOAD to use less RAM
Loaders to load rows directly + Memory Optimization
Fixing WEKA-Discretize bug with small bins when features have small values
RELOAD V5.6
Update to WEKA 3.8 and addtioni of other feature selection strategies
RELOAD V5.5
Added new Metrics to evaluate Safety-Related systems + Refactoring of Voting
Added GMeans algorithm, and a new way to aggregate features (MULTIPLE_UNION)
RELOAD V5.4
Updated Stability of Algorithms
RELOAD V5.3
Updated Javadoc
Optimization of Training phase of algorithms. Now the tool trains algorithms faster thanks to a careful refactoring.
RELOAD V5.2
Updated UI
Bug Fixes
Added SOS, ISOS and LDCOF algorithms (under testing in this version)