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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1》
会议日期
September 22-26, 2023
会议地点
Grasmere, UK
出版年
2024
馆藏号
351857
题名
作者
出版年
Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning
Srijoni Majumdar; Evangelos Pournaras
2024
Leverage Mathematics' Capability to Compress and Generalize as Application of ML Embedding Extraction from LLMs and Its Adaptation in the Automotive Space
Vera Kalinichenko
2024
Speeding Up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks
Johannes Varga; Emil Karlsson; Gunther R. Raidl; Elina Ronnberg; Fredrik Lindsten; Tobias Rodemann
2024
Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets
Margarita Zaleshina; Alexander Zaleshin
2024
A Machine Learning Approach for Source Code Similarity via Graph-Focused Features
Giacomo Boldini; Alessio Diana; Vincenzo Arceri; Vincenzo Bonnici; Roberto Bagnara
2024
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping
Sahib Julka; Michael Granitzer
2024
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation
Abhijeet Pendyala; Justin Dettmer; Tobias Glasmachers; Asma Atamna
2024
Perceptrons Under Verifiable Random Data Corruption
Jose E. Aguilar Escamilla; Dimitrios I. Diochnos
2024
Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach
Jiri Novak; Peter Chudy
2024
Solving Continuous Optimization Problems with a New Hyperheuristic Framework
Nandor Bandi; Noemi Gasko
2024
Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text
Georgios Cheirmpos; Seyed Amin Tabatabaei; Evangelos Kanoulas; Georgios Tsatsaronis
2024
Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data
Fitria Wulandari Ramlan; James McDermott
2024
A FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality
Ang Li; Peter Stuckey; Sven Koenig; T. K. Satish Kumar
2024
Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas
Filipe Ferraz; Diogo Ribeiro; Marta B. Lopes; Sonia Pedro; Susana Vinga; Alexandra M. Carvalho
2024
The Price of Data Processing: Impact on Predictive Model Performance
Gail Gilboa Freedman
2024
Reward Shaping for Job Shop Scheduling
Alexander Nasuta; Marco Kemmerling; Daniel Lutticke; Robert H. Schmitt
2024
A 3D Terrain Generator: Enhancing Robotics Simulations with GANs
Silvia Arellano; Beatriz Otero; Tomasz Piotr Kucner; Ramon Canal
2024
Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region
Ameya Gujar; Tanu Gupta; Sudip Roy
2024
Bilevel Optimization by Conditional Bayesian Optimization
Vedat Dogan; Steven Prestwich
2024
Few-Shot Learning for Character Recognition in Persian Historical Documents
Alireza Hajebrahimi; Michael Evan Santoso; Mate Kovacs; Victor V. Kryssanov
2024
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