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

October 26, 2024

Enhancing Lie Detection Accuracy: A Comparative Study of Classic ML, CNN, and GCN Models using Audio-Visual Features
Abdelrahman Abdelwahab, Akshaj Vishnubhatla, Ayaan Vaswani, Advait Bharathulwar, Arnav Kommaraju
Audio Visual Multimodal Model CNN Network Micro Expression Classical Machine Learning Deception Detection GCN Model Lie Detection

October 16, 2024

Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier
Md. Sohanur Rahman, Muhammad E. H. Chowdhury, Hasib Ryan Rahman, Mosabber Uddin Ahmed, Muhammad Ashad Kabir, Sanjiban Sekhar Roy, Rusab Sarmun
Random Forest Classification Performance Robust Framework Classical Machine Learning Meta Classifier Dense Self Supervised Learning Nodule Classification

September 17, 2024

Quantum Machine Learning for Semiconductor Fabrication: Modeling GaN HEMT Contact Process
Zeheng Wang, Fangzhou Wang, Liang Li, Zirui Wang, Timothy van der Laan, Ross C. C. Leon, Jing-Kai Huang, Muhammad Usman
GAN Model Quantum Machine Learning Classical Machine Learning Semiconductor Manufacturing

September 2, 2024

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Arian Salahi-Niri, Hossein Toreyhi, Zahra Atf, Amirali Mohsenzadeh-Kermani, Mahshad Sarikhani, Zohreh Tajabadi, Fatemeh Shojaeian, Mohammad Hassan Bagheri, Aydin Feyzi, Mohammadamin Tarighatpayma, Narges Gazmeh, Fateme Heydari, Hossein Afshar, Amirreza Allahgholipour, Farid Alimardani, Ameneh Salehi, Naghmeh Asadimanesh, Mohammad Amin Khalafi, Hadis Shabanipour, Ali Moradi, Sajjad Hossein Zadeh, Omid Yazdani, Romina Esbati, Moozhan Maleki, Danial Samiei Nasr, Amirali Soheili, Hossein Majlesi, Saba Shahsavan, Alireza Soheilipour, Nooshin Goudarzi, Erfan Taherifard, Hamidreza Hatamabadi, Jamil S Samaan, Thomas Savage, Ankit Sakhuja, Ali Soroush, Girish Nadkarni, Ilad Alavi Darazam, Mohamad Amin Pourhoseingholi, Seyed Amir Ahmad Safavi-Naini
System Performance Covid 19 High Dimensional Data Classical Machine Learning Covid 19 Patient

August 3, 2024

Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution
Absalom E. Ezugwu, Yuh-Shan Ho, Ojonukpe S. Egwuche, Olufisayo S. Ekundayo, Annette Van Der Merwe, Apu K. Saha, Jayanta Pal
Machine Learning Last Decade Evolution Strategy Traditional Machine Learning Classical Machine Learning

July 10, 2024

DS@GT eRisk 2024: Sentence Transformers for Social Media Risk Assessment
David Guecha, Aaryan Potdar, Anthony Miyaguchi
Jina Embeddings Mental Health Binary Classifier Risk Assessment Classical Machine Learning Sentence Transformer Beck Depression Inventory

April 24, 2024

A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
Maximilian Wendlinger, Kilian Tscharke, Pascal Debus
Adversarial Attack Adversarial Robustness Comparative Study Quantum Machine Learning Quantum Physic Classical Machine Learning Quantum Model Quantum Network

March 25, 2024

Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning
Dillon Z. Chen, Felipe Trevizan, Sylvie Thiébaux
Task Planning Customer Service Classical Planning Feature Generation Classical Machine Learning Planning Model Heuristic Rule Wang Landau Algorithm

January 29, 2024

Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence
Juan Ramón Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas, Antonio Javier Gallego
Explainable Artificial Intelligence Classical Machine Learning Explanatory Feedback Fine Tuned Judge Model Objective Evaluation

November 27, 2023

Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning
Michael Adjeisah, Kwame Omono Asamoah, Martha Asamoah Yeboah, Raji Rafiu King, Godwin Ferguson Achaab, Kingsley Adjei
Deep Learning Artificial Intelligence Deep Learning Model Classical Machine Learning

November 22, 2023

Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
Shilin Zhang, Jiahui Wang
Continual Learning Class Incremental Learning Online Continual Learning Distribution Learning Classical Machine Learning Generative Factor

September 25, 2023

Can neural networks count digit frequency?
Padmaksh Khandelwal
Neural Network Machine Learning Classical Machine Learning Handwritten Digit Recognition

August 13, 2023

Neural Networks for Programming Quantum Annealers
Samuel Bosch, Bobak Kiani, Rui Yang, Adrian Lupascu, Seth Lloyd
Neural Network Quantum Machine Learning Quantum Annealers Classical Neural Network Classical Machine Learning

July 20, 2023

Deep learning for classification of noisy QR codes
Rebecca Leygonie, Sylvain Lobry, ), Laurent Wendling (LIPADE)
Deep Learning Deep Learning Model Classification Code Image Classification Classical Machine Learning QR Code

July 14, 2023

Fairness of ChatGPT and the Role Of Explainable-Guided Prompts
Yashar Deldjoo
ChatGPT Generated Conversation Procedural Fairness Integral Role Binary Classification Large Scale Language Model Traditional Machine Learning Machine Learning Task Classical Machine Learning Domain Specific Prompt

July 8, 2023

Active Learning in Physics: From 101, to Progress, and Perspective
Yongcheng Ding, José D. Martín-Guerrero, Yolanda Vives-Gilabert, Xi Chen
Machine Learning Active Learning Visual Perspective Much Progress Theoretical Physic Classical Machine Learning

July 1, 2023

Unified Transfer Learning Models in High-Dimensional Linear Regression
Shuo Shuo Liu
Transfer Learning High Dimensional Mobility Data Classical Machine Learning Source Detection

March 1, 2023

On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches
Kevin Iselborn, Marco Stricker, Takashi Miyamoto, Marlon Nuske, Andreas Dengel
Importance Aware Feature Representation Classical Machine Learning Flood Inundation Mapping Flood Mapping Surface Water

February 1, 2023

Anderson Acceleration For Bioinformatics-Based Machine Learning
Sarwan Ali, Prakash Chourasia, Murray Patterson
Machine Learning Classical Machine Learning Anderson Acceleration Adaptive Classification

January 31, 2023

CMLCompiler: A Unified Compiler for Classical Machine Learning
Xu Wen, Wanling Gao, Anzheng Li, Lei Wang, Zihan Jiang, Jianfeng Zhan
Classical Machine Learning Scikit Learn