Classical Machine Learning

Classical machine learning (CML) encompasses a broad range of algorithms designed to extract patterns and make predictions from data, focusing on efficiency and interpretability. Current research emphasizes optimizing CML performance across diverse applications, including improving model accuracy and robustness through ensemble methods, and exploring efficient feature representation techniques to enhance model generalization. The field's significance lies in its continued relevance for high-dimensional tabular data and its integration with other machine learning approaches, offering practical solutions in areas like healthcare, finance, and environmental monitoring.

Papers

December 1, 2022

Explainable Artificial Intelligence for Improved Modeling of Processes
Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
Machine Learning Explainable Artificial Intelligence Complex Process Process Mining Knowledge Extraction Process Model Model Improvement Classical Machine Learning

October 13, 2022

An efficient combination strategy for hybird quantum ensemble classifier
Xiao-Ying Zhang, Ming-Ming Wang
Machine Learning Quantum Machine Learning Ensemble Learning Ensemble Classifier Classical Machine Learning Hybrid Quantum Item Combination

August 26, 2022

Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning
Matthias Kahl, Daniel Jorde, Hans-Arno Jacobsen
Representation Learning Consistent Comparison Energy Consumption Classical Machine Learning Non Intrusive Load Monitoring Appliance Detection

June 16, 2022

When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification
Adi Lichy, Ofek Bader, Ran Dubin, Amit Dvir, Chen Hajaj
Deep Learning CNN Network Intrusion Detection Traffic Classification Malware Family Classical Machine Learning Novel RF Editing Pipeline Malicious Traffic Encrypted Traffic Classification

June 13, 2022

Hybrid Ensemble for Fake News Detection: An attempt
Lovedeep Singh
Deep Learning Machine Learning Fake News Fake News Detection Manual Effort Classical Machine Learning

June 3, 2022

Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain
Modar Sulaiman, Kallol Roy
Machine Learning Machine Learning Model Case Study Education Domain Fair Classification Classical Machine Learning Legal Datasets

May 25, 2022

A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer
Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li
Comparative Study Ensemble Learning Linear Regression Classical Machine Learning Visual Transformer Multiple Classifier Gastric Cancer

May 10, 2022

Crypto Pump and Dump Detection via Deep Learning Techniques
Viswanath Chadalapaka, Kyle Chang, Gireesh Mahajan, Anuj Vasil
Deep Learning Classical Machine Learning Deep Learning Solution Memory Dump

March 30, 2022

Optimization for Classical Machine Learning Problems on the GPU
Sören Laue, Mark Blacher, Joachim Giesen
Optimization Purpose Single GPU Deep Learning Framework Constrained Optimization Classical Machine Learning

February 25, 2022

Multi-Layer Perceptron Neural Network for Improving Detection Performance of Malicious Phishing URLs Without Affecting Other Attack Types Classification
Pow Chang
Neural Network Multi Layer Improved Detection Multinomial Logistic Classical Machine Learning Uniform Resource Locator

September 27, 2020

Machines Learn to Infer Stellar Parameters Just by Looking at a Large Number of Spectra
Nima Sedaghat, Martino Romaniello, Jonathan E. Carrick, François-Xavier Pineau
Deep Learning Machine Learning New Machine Numerical Data Astronomical Data Classical Machine Learning Synthetic Spectrum Stellar Parameter Stellar Spectrum

Classical Machine Learning

Papers

Explainable Artificial Intelligence for Improved Modeling of Processes

An efficient combination strategy for hybird quantum ensemble classifier

Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning

When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification

Hybrid Ensemble for Fake News Detection: An attempt

Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain

A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer

Crypto Pump and Dump Detection via Deep Learning Techniques

Optimization for Classical Machine Learning Problems on the GPU

Multi-Layer Perceptron Neural Network for Improving Detection Performance of Malicious Phishing URLs Without Affecting Other Attack Types Classification

Machines Learn to Infer Stellar Parameters Just by Looking at a Large Number of Spectra