Master of Data Science Project

Adaptive Neural Ensemble Network (AdaNEN) for On-The-Fly Classification of Evolving Text Streams

A list of papers that studies Novel Class Discovery

Steam data learning

Novelty detection for data streams in Python

Frouros: an open-source Python library for drift detection in machine learning systems.

🎓Automatically Update FL Papers Daily using Github Actions (Update Every 12th hours)

🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition

Online Federated Learning.

code for paper SpamDam

code -revision-2

BearingEdge: A Edge-friendly Industrial Fault Diagnosis System

DARWIN: An Online Deep Learning Approach to handle Concept Drifts in Predictive Process Monitoring

Frouros: an open-source Python library for drift detection in machine learning systems.

Concept Drift handling with Domain Adaptation approach

PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).

Federated adaptation for fairness and concept drift aware stream classification

This is official implementation of Fed-CO2 (NeurIPS.2023)[https://arxiv.org/abs/2312.13923]

FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams

Federated Learning under Distributed Concept Drift (FedDrift)

Ability to identify the controller erros from the equipment input energy data

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis"…

CADM+: Confusion-based Learning Framework With Drift Detection and Adaptation for Real-time Safety Assessment