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会议文集
文集名
Machine Learning, Optimization, and Data Science
会议名
9th International Conference on Machine Learning, Optimization, and Data Science (LOD 2023)
中译名
《第九届国际机器学习、优化及数据科学会议,卷2》
会议日期
September 22-26, 2023
会议地点
Grasmere, UK
出版年
2024
馆藏号
351858
题名
作者
出版年
Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation
Jiye Li; Yun Yin; Daniel Lafond; Alireza Ghasemi; Claver Diallo; Eric Bertrand
2024
Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code
Silvia Arellano; Beatriz Otero; Ruben Tous
2024
Geolocation Risk Scores for Credit Scoring Models
Erdem Unal; Ugur Aydin; Murat Koras; Baris Akgun; Mehmet Gonen
2024
Social Media Analysis: The Relationship Between Private Investors and Stock Price
Zijun Liu; Xinxin Wu; Wei Yao
2024
Deep Learning Model of Two-Phase Fluid Transport Through Fractured Media: A Real-World Case Study
Leonid Sheremetov; Luis A. Lopez-Pena; Gabriela B. Diaz-Cortes; Dennys A. Lopez-Falcon; Erick E. Luna-Rojero
2024
A Proximal Algorithm for Network Slimming
Kevin Bui; Fanghui Xue; Fredrick Park; Yingyong Qi; Jack Xin
2024
Diversity in Deep Generative Models and Generative AI
Gabriel Turinici
2024
Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes
Piotr Pomorski; Denise Gorse
2024
Okolopoly: Case Study on Large Action Spaces in Reinforcement Learning
Raphael C. Engelhardt; Ralitsa Raycheva; Moritz Lange; Laurenz Wiskott; Wolfgang Konen
2024
Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems
Jan Kronqvist; Boda Li; Jan Rolfes; Shudian Zhao
2024
Heaviest and Densest Subgraph Computation for Binary Classification. A Case Study
Zoltan Tasnadi; Noemi Gasko
2024
SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization
Tarek Salhi; John Woodward
2024
Accelerated Graph Integration with Approximation of Combining Parameters
Taehwan Yun; Myung Jun Kim; Hyunjung Shin
2024
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison
Moritz Lange; Noah Krystiniak; Raphael C. Engelhardt; Wolfgang Konen; Laurenz Wiskott
2024
A Hybrid Steady-State Genetic Algorithm for the Minimum Conflict Spanning Tree Problem
Punit Kumar Chaubey; Shyam Sundar
2024
Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization
Sara Ceschia; Luca Di Gaspero; Roberto Maria Rosati; Andrea Schaerf
2024
Evaluation of Selected Autoencoders in the Context of End-User Experience Management
Sven Beckmann; Bernhard Bauer
2024
Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems
David Heik; Fouad Bahrpeyma; Dirk Reichelt
2024
Solving Mixed Influence Diagrams by Reinforcement Learning
S. D. Prestwich
2024
Multi-scale Heat Kernel Graph Network for Graph Classification
Jong Ho Jhee; Jeongheun Yeon; Yoonshin Kwak; Hyunjung Shin
2024
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