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会议文集


文集名Machine Learning, Optimization, and Data Science
会议名8th International Conference on Machine Learning, Optimization, and Data Science (LOD 2022)
中译名《第八届国际机器学习、优化及数据科学会议，卷2》
会议日期September 18-22, 2022
会议地点Certosa di Pontignano, Italy
出版年2023
馆藏号349207


题名作者出版年
Pooling Graph Convolutional Networks for Structural Performance PredictionLorenz Wendlinger; Michael Granitzer; Christofer Fellicious2023
A Game Theoretic Flavoured Decision Tree for ClassificationMihai-Alexandru Suciu; Rodica-Ioana Lung2023
Human-Centric Machine Learning Approach for Injection Mold Design: Towards Automated Ejector Pin PlacementRobert Jungnickel; Johanna Lauwigi; Vladimir Samsonov; Daniel Lutticke2023
A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural GraphsRoss A. J. McLaren; Kehinde Oluwatoyin Babaagba; Zhiyuan Tan2023
Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete AutoencodersPedro Henrique da Costa Avelar; Roman Laddach; Sophia N. Karagiannis; Min Wu; Sophia Tsoka2023
Smart Pruning of Deep Neural Networks Using Curve Fitting and Evolution of WeightsAshhadul Islam; Samir Brahim Belhaouari2023
Biologically Inspired Unified Artificial Immune System for Industrial Equipment DiagnosticGalina Samigulina; Zarina Samigulina2023
A Nonparametric Pooling Operator Capable of Texture ExtractionV. Vigneron; H. Maaref2023
Strategic Workforce Planning with Deep Reinforcement LearningYannick Smit; Floris den Hengst; Sandjai Bhulai; Ehsan Mehdad2023
Enhanced Association Rules and PythonPetr Masa; Jan Rauch2023
Generating Vascular Networks: A Reinforcement Learning ApproachJoao Braz Simoes; Rui Travasso; Ernesto Costa; Tiago Baptista2023
Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud DetectionKanishka Ghosh Dastidar; Wissam Siblini; Michael Granitzer2023
Digital Twins: Modelling Languages ComparisonAbdul Wahid; Jiafeng Zhu; Stefano Mauceri; Lei Li; Minghua Liu2023
Algorithms that Get Old: The Case of Generative Deep Neural NetworksGabriel Turinici2023
A Two-Country Study of Default Risk Prediction Using Bayesian Machine-LearningFabio Incerti; Falco J. Bargagli-Stoffi; Massimo Riccaboni2023
Enforcing Hard State-Dependent Action Bounds on Deep Reinforcement Learning PoliciesBram De Cooman; Johan Suykens; Andreas Ortseifen2023
A Bee Colony Optimization Approach for the Electric Vehicle Routing Problem with DronesNikolaos A. Kyriakakis; Themistoklis Stamadianos; Magdalene Marinaki; Nikolaos Matsatsinis; Yannis Marinakis2023
Best Practices in Flux Sampling of Constrained-Based ModelsBruno G. Galuzzi; Luca Milazzo; Chiara Damiani2023
EFI: A Toolbox for Feature Importance Fusion and Interpretation in PythonAayush Kumar; Jimiama M. Mase; Divish Rengasamy; Benjamin Rothwell; Mercedes Torres Torres; David A. Winkler; Grazziela P. Figueredo2023
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged AgentWadhah Zai El Amri; Luca Hermes; Malte Schilling2023
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