canoalberto

AESAKNNS

Continual Learning for Multi-Label Drifting Data Streams using Heterogeneous Ensemble of Self-Adjusting Nearest Neighbors

CAIM-GPU

Scalable CAIM discretization on multiple GPUs using concurrent kernels

DERules

Learning classification rules with differential evolution for high-speed data stream mining on GPUs

ERulesD2S

Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams

imbalanced-streams

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

Kappa-Updated-Ensemble

Kappa Updated Ensemble for drifting data stream mining

MLSAkNN

Self-Adjusting k Nearest Neighbors for Multi-Label Drifting Data Streams

MLSAMPkNN

Multi-label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams

ROSE

ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning from Imbalanced Drifting Data Streams

ur-CAIM

Improved CAIM discretization for unbalanced and balanced data

canoalberto/imbalanced-streams

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

canoalberto/ROSE

ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning from Imbalanced Drifting Data Streams

canoalberto/MLSAMPkNN

Multi-label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams

canoalberto/AESAKNNS

Continual Learning for Multi-Label Drifting Data Streams using Heterogeneous Ensemble of Self-Adjusting Nearest Neighbors

canoalberto/DERules

Learning classification rules with differential evolution for high-speed data stream mining on GPUs

canoalberto/Kappa-Updated-Ensemble

Kappa Updated Ensemble for drifting data stream mining

canoalberto/ur-CAIM

Improved CAIM discretization for unbalanced and balanced data

canoalberto/ERulesD2S

Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams

canoalberto/MLSAkNN

Self-Adjusting k Nearest Neighbors for Multi-Label Drifting Data Streams

canoalberto/CAIM-GPU

Scalable CAIM discretization on multiple GPUs using concurrent kernels

canoalberto/DGC

Weighted Data Gravitation Classification for Standard and Imbalanced Data

canoalberto/ICRM

An Interpretable Classification Rule Mining Algorithm

canoalberto/imbalanced-stream-generator

MOA compatible imbalanced data stream generator, as described in "The impact of data difficulty factors on classification of imbalanced and concept drifting data streams".

canoalberto/moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

canoalberto/spark-arff-data-source

ARFF data source for Apache Spark supporting traditional, multi-output, and multi-instance learning paradigms

canoalberto/0000---Capstone-Template

canoalberto/ARkNN

Aging and rejuvenating strategies for fading windows in multi-label classification on data streams

canoalberto/budgetbasedoversampling

canoalberto/canoalberto.github.io

canoalberto/ondemand

Supercomputing. Seamlessly. Open, Interactive HPC Via the Web

canoalberto/stable-diffusion-webui

Stable Diffusion web UI

canoalberto/text-generation-webui

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

canoalberto/whisperX

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)