research
∙
09/07/2023
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Forecasting natural gas consumption, considering seasonality and trends,...
share
research
∙
04/30/2023
Transfer of knowledge among instruments in automatic music transcription
Automatic music transcription (AMT) is one of the most challenging tasks...
research
∙
03/28/2023
Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
The paper discusses an approach to decipher large collections of handwri...
research
∙
01/11/2023
Combining Self-labeling with Selective Sampling
Since data is the fuel that drives machine learning models, and access t...
research
∙
10/10/2022
Tracking changes using Kullback-Leibler divergence for the continual learning
Recently, continual learning has received a lot of attention. One of the...
research
∙
02/22/2022
Increasing Depth of Neural Networks for Life-long Learning
Increasing neural network depth is a well-known method for improving neu...
research
∙
12/19/2021
Active Weighted Aging Ensemble for Drifted Data Stream Classification
One of the significant problems of streaming data classification is the ...
research
∙
10/25/2021
Employing chunk size adaptation to overcome concept drift
Modern analytical systems must be ready to process streaming data and co...
research
∙
05/09/2021
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification
Real-world classification domains, such as medicine, health and safety, ...
research
∙
01/30/2021
Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification
The imbalanced data classification remains a vital problem. The key is t...
research
∙
12/28/2020
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study
Fake news has now grown into a big problem for societies and also a majo...
research
∙
04/07/2020
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise
The imbalanced data classification is one of the most crucial tasks faci...
research
∙
11/17/2018
