Machine Learning

Machine learning (ML) focuses on developing algorithms that allow computers to learn from data without explicit programming, aiming to improve prediction accuracy, automate tasks, and extract insights. Current research emphasizes areas like fairness in federated learning, efficient model training and deployment (including techniques to reduce communication overhead), and enhancing model interpretability and robustness against adversarial attacks. ML's impact spans diverse fields, from healthcare (e.g., disease prediction) and industrial quality control to astrophysics (e.g., galaxy classification) and cybersecurity, demonstrating its broad applicability and significant potential for scientific advancement and practical problem-solving.

Papers

October 19, 2023

Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison
Francesca Tavazza, Kamal Choudhary, Brian DeCost
Machine Learning Constructive Approach Uncertainty Quantification Consistent Comparison Ensemble Method Prediction Interval Material Property Prediction Material Property
Fuel Consumption Prediction for a Passenger Ferry using Machine Learning and In-service Data: A Comparative Study
Pedram Agand, Allison Kennedy, Trevor Harris, Chanwoo Bae, Mo Chen, Edward J Park
Machine Learning Comparative Study Predictive Performance Prediction Model Fuel Consumption MARINE Vessel
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
Amey P. Pasarkar, Adji Bousso Dieng
Machine Learning Open Sampling Science Journalism Diversity Metric Vendi Score
Detection and Evaluation of bias-inducing Features in Machine learning
Moses Openja, Gabriel Laberge, Foutse Khomh
Machine Learning Data Detection Global Evaluation Absolute Stance Bias Fair Machine Learning Bias Evaluation Cause Effect
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
Machine Learning Machine Learning Model Membership Inference Attack Advanced Machine Learning Target Model Public Model
Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models
Sami Hamdan, Shammi More, Leonard Sasse, Vera Komeyer, Kaustubh R. Patil, Federico Raimondo
Machine Learning Machine Learning Model Generalization Performance Cross Validation Easy to Use Library Visual Inspection Machine Learning Pipeline
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho, M. Fouesneau, B. Nord, J. E. G. Peek, M. Walmsley, J. F. Wu, C. Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, A. D. Goulding, T. Kacprzak, P. Melchior, M. Pasquato, N. Ramachandra, Y. -S. Ting, G. van de Ven, S. Villar, V. A. Villar, E. Zinger
Machine Learning Machine Learning Model Astronomical Data Best Practice Scientific Research Human Reviewer Cosmological Simulation
Testing the Consistency of Performance Scores Reported for Binary Classification Problems
Attila Fazekas, György Kovács
Machine Learning Strong Consistency Binary Classification Cross Validation Performance Score Consistency Test
Machine Learning for Leaf Disease Classification: Data, Techniques and Applications
Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Garg
Machine Learning Financial Application Raw Data Barzilai Borwein Technique Machine Learning Application Smart Agriculture Leaf Disease

October 18, 2023

Flexible Payload Configuration for Satellites using Machine Learning
Marcele O. K. Mendonca, Flor G. Ortiz-Gomez, Jorge Querol, Eva Lagunas, Juan A. Vásquez Peralvo, Victor Monzon Baeza, Symeon Chatzinotas, Bjorn Ottersten
Machine Learning Multiple Satellite Radio Resource Management Satellite Communication Heterogeneous Traffic Payload Transmission Probability Model Spectrum Utilization
Text Annotation Handbook: A Practical Guide for Machine Learning Projects
Felix Stollenwerk, Joey Öhman, Danila Petrelli, Emma Wallerö, Fredrik Olsson, Camilla Bengtsson, Andreas Horndahl, Gabriela Zarzar Gandler
Machine Learning Gentle Introduction Practical Guide Annotation Rather Text Annotation Annotation Task Readability Level Machine Learning Project

October 16, 2023

Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey
Elaheh Jafarigol, William Keely, Tess Hartog, Tom Welborn, Peyman Hekmatpour, Theodore B. Trafalis
Machine Learning Random Forest Variable Importance Industrial Revolution Value Survey
Observational and Experimental Insights into Machine Learning-Based Defect Classification in Wafers
Kamal Taha
Machine Learning New Machine Defect Classification Wafer Defect
Machine learning in physics: a short guide
Francisco A. Rodrigues
Reinforcement Learning Deep Learning Machine Learning Symbolic Regression Theoretical Physic Practical Guide
Advantages of Machine Learning in Bus Transport Analysis
Amirsadegh Roshanzamir
Machine Learning Supervised Learning Supervised Machine Learning Public Transit Advantage Feedback Route Recommendation
A Comprehensive Study of Privacy Risks in Curriculum Learning
Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li
Machine Learning Membership Inference Attack Curriculum Learning Comprehensive Study PRIvacy Leakage Privacy Risk Inference Attack
Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities
Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys
Machine Learning Technical Challenge Financial Application Manufacturing Industry Digital Biomarkers Biopharmaceutical Process Development

Machine Learning

Papers

Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison

Fuel Consumption Prediction for a Passenger Ferry using Machine Learning and In-service Data: A Comparative Study

Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning

Detection and Evaluation of bias-inducing Features in Machine learning

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models

Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

Testing the Consistency of Performance Scores Reported for Binary Classification Problems

Machine Learning for Leaf Disease Classification: Data, Techniques and Applications

Flexible Payload Configuration for Satellites using Machine Learning

Text Annotation Handbook: A Practical Guide for Machine Learning Projects

FROST: Towards Energy-efficient AI-on-5G Platforms -- A GPU Power Capping Evaluation

Why Do Students Drop Out? University Dropout Prediction and Associated Factor Analysis Using Machine Learning Techniques

Machine Learning in the Quantum Age: Quantum vs. Classical Support Vector Machines

Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey

Observational and Experimental Insights into Machine Learning-Based Defect Classification in Wafers

Machine learning in physics: a short guide

Advantages of Machine Learning in Bus Transport Analysis

A Comprehensive Study of Privacy Risks in Curriculum Learning

Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities