玩忽职守 发表于 2025-3-25 05:38:41

,Towards Refined Classifications Driven by SHAP Explanations,compare the performance of these “SHAP features” against traditional “base features” on binary classification tasks. Then, we add a second-step classifier relying on SHAP features, with the goal of reducing false-positive and false-negative results of typical classifiers. We show that SHAP explanati

multiply 发表于 2025-3-25 11:32:57

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哥哥喷涌而出 发表于 2025-3-25 14:06:59

Identifying Fraud Rings Using Domain Aware Weighted Community Detection,ically in deep learning-based methods like Graph Neural Networks (GNN), it is explicitly provided in traditional methods. In this paper, we propose a scalable and extensible end-to-end framework based on domain-aware weighted community detection to detect fraud rings. We first convert a multi-edge w

arsenal 发表于 2025-3-25 16:38:40

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legitimate 发表于 2025-3-25 21:16:08

,An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard base reinforcement algorithms (e.g. PPO, IMPALA) and neural network architectures, being hard to fairly compare the provided results and the actual progress provided by each solution. The goal of this work is to stress on this crucial matter in reinforcement learning over hard exploration environmen

blister 发表于 2025-3-26 01:04:57

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连锁 发表于 2025-3-26 08:18:07

How to Reduce the Time Necessary for Evaluation of Tree-Based Models,evaluation metrics like functional correctness, usability, stability, and others. We primarily focused on metrics used to evaluate the quality of software products like functional suitability, performance efficiency, usability, etc. Presented proof of concept is further developed into a functional p

轻率的你 发表于 2025-3-26 09:24:54

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Priapism 发表于 2025-3-26 16:38:54

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CROAK 发表于 2025-3-26 16:53:49

Shaik Masihullah,Meghana Negi,Jose Matthew,Jairaj Sathyanarayana een asser-tiviteitstraining beschreven. Leven met assertiviteitsproblemen verschijnt in de reeks Van A tot ggZ. De boeken uit deze reeks zijn zowel voor de professional als voor de cliënt uiterst bruikbaar om meer inzicht te krijgen in diverse stoornissen.978-90-313-4193-1978-90-313-6409-1
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查看完整版本: Titlebook: Machine Learning and Knowledge Extraction; 6th IFIP TC 5, TC 12 Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2022