Machine Learning Model

Machine learning models aim to create systems that can learn from data and make predictions or decisions without explicit programming. Current research emphasizes improving model accuracy, interpretability, and robustness, focusing on architectures like deep neural networks, decision tree ensembles, and transformer models, as well as exploring decentralized learning and techniques for mitigating biases and vulnerabilities. These advancements are crucial for diverse applications, ranging from optimizing resource management (e.g., smart irrigation) to improving healthcare diagnostics and enhancing the security and trustworthiness of AI systems.

Papers

December 13, 2024

Analyzing Fairness of Classification Machine Learning Model with Structured Dataset
Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb
Machine Learning Model Structured Data Fair Machine Learning Fairness Evaluation Fairness Analysis ML Fairness Fairness Toolkits

December 12, 2024

Pulling the Carpet Below the Learner's Feet: Genetic Algorithm To Learn Ensemble Machine Learning Model During Concept Drift
Teddy Lazebnik
Machine Learning Machine Learning Model Ensemble Learning Genetic Algorithm Concept Drift Data Driven Model Ensemble Machine Learning B Learner

December 11, 2024

Backdoor attacks on DNN and GBDT -- A Case Study from the insurance domain
Robin Kühlem (1), Daniel Otten (1), Daniel Ludwig (1), Anselm Hudde (1 and 3), Alexander Rosenbaum (2), Andreas Mauthe (2) ((1) Debeka, Koblenz, Germany, (2) Computer Science, University of Koblenz, Koblenz, Germany, (3) Department of Maths and Technology, Koblenz University of Applied Sciences, Remagen, Germany)
Machine Learning Deep Neural Network Machine Learning Model Backdoor Attack Internet Service Domain Gradient Boosting Insurance Industry Claim Size Prediction

December 10, 2024

December 9, 2024

Gentle robustness implies Generalization
Khoat Than, Dat Phan, Giang Vu
Strong Generalization Machine Learning Model Robust Learning Optimal Classifier Intrinsic Robustness

December 6, 2024

Multi-class heart disease Detection, Classification, and Prediction using Machine Learning Models
Mahfuzul Haque, Abu Saleh Musa Miah, Debashish Gupta, Md. Maruf Al Hossain Prince, Tanzina Alam, Nusrat Sharmin, Mohammed Sowket Ali, Jungpil Shin
Machine Learning Model Classification Code Human Prediction Random Forest Disease Detection Death Rate

December 5, 2024

An Efficient Model Maintenance Approach for MLOps
Forough Majidi, Foutse Khomh, Heng Li, Amin Nikanjam
Machine Learning Model MLOps System Model Reuse Model Update

December 4, 2024

Data Acquisition for Improving Model Fairness using Reinforcement Learning
Jahid Hasan, Romila Pradhan
LeArning Abstract Machine Learning Model Bias Mitigation Model Bias Positive Reinforcement Data Collection Model Fairness

December 3, 2024

Modeling and Discovering Direct Causes for Predictive Models
Yizuo Chen, Amit Bhatia
Machine Learning Model Causal Graph Predictive Model Model Evaluation

December 2, 2024

November 30, 2024

November 25, 2024

What can LLM tell us about cities?
Zhuoheng Li, Yaochen Wang, Zhixue Song, Yuqi Huang, Rui Bao, Guanjie Zheng, Zhenhui Jessie Li
Large Language Model Machine Learning Model Medical LLM Data Driven Urban Environment

November 24, 2024

Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning
Shaoxuan Sun, Jingao Yuan, Yuelin Yang
Machine Learning Machine Learning Model Optimization Purpose

November 22, 2024

Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks
Joseph Farrington, Samah Alimam, Martin Utley, Kezhi Li, Wai Keong Wong
Machine Learning Model New Machine Healthcare Facility Advanced Textile Recycling Blood Transfusion Market Return

November 20, 2024

LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy
Machine Learning Model Medical LLM Active Learning View Selection Gradient Norm

November 19, 2024

Machine Learning Model

Papers

Analyzing Fairness of Classification Machine Learning Model with Structured Dataset

Pulling the Carpet Below the Learner's Feet: Genetic Algorithm To Learn Ensemble Machine Learning Model During Concept Drift

Backdoor attacks on DNN and GBDT -- A Case Study from the insurance domain

Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Data

Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance

Gentle robustness implies Generalization

Multi-class heart disease Detection, Classification, and Prediction using Machine Learning Models

An Efficient Model Maintenance Approach for MLOps

Data Acquisition for Improving Model Fairness using Reinforcement Learning

Modeling and Discovering Direct Causes for Predictive Models

IIntelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows

Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid

Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning

On the Conditions for Domain Stability for Machine Learning: a Mathematical Approach

What can LLM tell us about cities?

Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning

Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks

LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training

AI Guided Early Screening of Cervical Cancer

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions