書目名稱Machine Learning and Knowledge Extraction影響因子(影響力)學(xué)科排名
書目名稱Machine Learning and Knowledge Extraction網(wǎng)絡(luò)公開度
書目名稱Machine Learning and Knowledge Extraction網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning and Knowledge Extraction被引頻次
書目名稱Machine Learning and Knowledge Extraction被引頻次學(xué)科排名
書目名稱Machine Learning and Knowledge Extraction年度引用
書目名稱Machine Learning and Knowledge Extraction年度引用學(xué)科排名
書目名稱Machine Learning and Knowledge Extraction讀者反饋
書目名稱Machine Learning and Knowledge Extraction讀者反饋學(xué)科排名
作者: reception 時(shí)間: 2025-3-21 22:53
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620556.jpg作者: Anthrp 時(shí)間: 2025-3-22 00:57 作者: Jingoism 時(shí)間: 2025-3-22 06:31 作者: 環(huán)形 時(shí)間: 2025-3-22 12:27
https://doi.org/10.1007/978-3-031-14463-9artificial intelligence; computer networks; computer science; computer systems; computer vision; data min作者: 委托 時(shí)間: 2025-3-22 14:20
,Effects of?Fairness and?Explanation on?Trust in?Ethical AI,d decision making. The results show that the use of AI explanations and fairness statements in AI applications is complex: we need to consider not only the type of explanations, but also the level of fairness introduced. This is a strong motivation for further work.作者: Outshine 時(shí)間: 2025-3-22 19:49 作者: Serenity 時(shí)間: 2025-3-22 21:40 作者: FRONT 時(shí)間: 2025-3-23 02:19 作者: 揭穿真相 時(shí)間: 2025-3-23 08:13 作者: hazard 時(shí)間: 2025-3-23 19:13 作者: Coronation 時(shí)間: 2025-3-24 00:34
,The Influence of?User Diversity on?Motives and?Barriers when Using Health Apps - A Conjoint Investiigured based on selected attributes. Differences in decision-making between men and women, exercisers and non-exercisers, as well as influences of certain personality dimensions and motivational types have been found. The results provide important clues that may help to customize fitness apps to specific user groups and for further research.作者: Free-Radical 時(shí)間: 2025-3-24 03:54 作者: 不朽中國(guó) 時(shí)間: 2025-3-24 10:29
Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm,ing one another in a batch of tests, and reaching similar results in others. Understanding why each algorithm outperformed the other in different circumstances may shed light on the advantages and disadvantages of specific features of keyword extraction methods.作者: 思考才皺眉 時(shí)間: 2025-3-24 13:16
0302-9743 D-MAKE 2022, held in Vienna, Austria during August 2022..The 23 full papers presented were carefully reviewed and selected from 45 submissions.?The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algori作者: acquisition 時(shí)間: 2025-3-24 17:41 作者: POINT 時(shí)間: 2025-3-24 22:46 作者: 高原 時(shí)間: 2025-3-24 23:26 作者: 玩忽職守 時(shí)間: 2025-3-25 05:38
,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作者: multiply 時(shí)間: 2025-3-25 11:32 作者: 哥哥噴涌而出 時(shí)間: 2025-3-25 14:06
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作者: arsenal 時(shí)間: 2025-3-25 16:38 作者: legitimate 時(shí)間: 2025-3-25 21:16
,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作者: blister 時(shí)間: 2025-3-26 01:04 作者: 連鎖 時(shí)間: 2025-3-26 08:18
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作者: 輕率的你 時(shí)間: 2025-3-26 09:24 作者: Priapism 時(shí)間: 2025-3-26 16:38 作者: CROAK 時(shí)間: 2025-3-26 16:53
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 cli?nt uiterst bruikbaar om meer inzicht te krijgen in diverse stoornissen.978-90-313-4193-1978-90-313-6409-1作者: obstruct 時(shí)間: 2025-3-26 22:16 作者: 走路左晃右晃 時(shí)間: 2025-3-27 03:05 作者: Medicaid 時(shí)間: 2025-3-27 09:07
Alain Andres,Esther Villar-Rodriguez,Javier Del Ser 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 cli?nt uiterst bruikbaar om meer inzicht te krijgen in diverse stoornissen.978-90-313-4193-1978-90-313-6409-1作者: EVEN 時(shí)間: 2025-3-27 11:56
Clayton Leroy Chapman,Lars Hillebrand,Marc Robin Stenzel,Tobias Deu?er,David Biesner,Christian Bauck 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 cli?nt uiterst bruikbaar om meer inzicht te krijgen in diverse stoornissen.978-90-313-4193-1978-90-313-6409-1作者: 表狀態(tài) 時(shí)間: 2025-3-27 16:18
Eliseo Reategui,Marcio Bigolin,Michel Carniato,Rafael Antunes dos Santos 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 cli?nt uiterst bruikbaar om meer inzicht te krijgen in diverse stoornissen.978-90-313-4193-1978-90-313-6409-1作者: craving 時(shí)間: 2025-3-27 20:40 作者: 混亂生活 時(shí)間: 2025-3-28 01:38 作者: fatty-acids 時(shí)間: 2025-3-28 03:37 作者: senile-dementia 時(shí)間: 2025-3-28 07:07
Federico Cabitza,Andrea Campagner,Lorenzo Famiglini,Enrico Gallazzi,Giovanni Andrea La Maida作者: decipher 時(shí)間: 2025-3-28 13:23
Alessa Angerschmid,Kevin Theuermann,Andreas Holzinger,Fang Chen,Jianlong Zhou作者: 壯觀的游行 時(shí)間: 2025-3-28 16:05 作者: FLACK 時(shí)間: 2025-3-28 19:57
Federico Cabitza,Andrea Campagner,Lorenzo Famiglini作者: 2否定 時(shí)間: 2025-3-29 01:39
André M. Carrington,Paul W. Fieguth,Franz Mayr,Nick D. James,Andreas Holzinger,John W. Pickering,Ric作者: Armory 時(shí)間: 2025-3-29 03:51
Vladimir Marochko,Richard Reilly,Rachel McDonnell,Luca Longo作者: 擴(kuò)音器 時(shí)間: 2025-3-29 09:12 作者: 過濾 時(shí)間: 2025-3-29 11:40
,Explain to?Not Forget: Defending Against Catastrophic Forgetting with?XAI,al networks. Unfortunately, the traditional optimization algorithms often require large amounts of data available during training time and updates w.r.t. new data are difficult after the training process has been completed. In fact, when new data or tasks arise, previous progress may be lost as neur作者: 因無(wú)茶而冷淡 時(shí)間: 2025-3-29 16:07 作者: Occlusion 時(shí)間: 2025-3-29 22:19 作者: ALLEY 時(shí)間: 2025-3-30 00:39 作者: STERN 時(shí)間: 2025-3-30 06:39 作者: Palter 時(shí)間: 2025-3-30 10:48
,Global Interpretable Calibration Index, a?New Metric to?Estimate Machine Learning Models’ Calibratine. However, existing calibration metrics can be difficult to interpret and are affected by theoretical limitations. In this paper, we present a new metric, called GICI (Global Interpretable Calibration Index), which is characterized by being local and defined only in terms of simple geometrical pri作者: 虛度 時(shí)間: 2025-3-30 14:36
,The ROC Diagonal is Not Layperson’s Chance: A New Baseline Shows the?Useful Area,ve in a Receiver Operating Characteristic (ROC) plot and a quantity known as the area under the ROC curve (AUC or AUROC). In ROC plots, the main diagonal is often referred to as “chance” or the “random line”. In general, however, this does not correspond to the layperson’s concept of chance or rando作者: 為寵愛 時(shí)間: 2025-3-30 19:35
,Debiasing MDI Feature Importance and?SHAP Values in?Tree Ensembles, variable-importance measure in random forests, Gini importance. In particular, we demonstrate a common thread among the out-of-bag based bias correction methods and their connection to local explanation for trees. In addition, we point out a bias caused by the inclusion of inbag data in the newly d作者: 有偏見 時(shí)間: 2025-3-30 23:48 作者: 傻 時(shí)間: 2025-3-31 02:33 作者: 感激小女 時(shí)間: 2025-3-31 05:21
,Capabilities, Limitations and?Challenges of?Style Transfer with?CycleGANs: A Study on?Automatic Rine rendering process is complicated and takes a significant amount of time, not only in the rendering itself but in the setting of the scene as well. Materials, lights and cameras need to be set in order to get the best quality results. Nevertheless, the optimal output may not be obtained in the firs作者: ABIDE 時(shí)間: 2025-3-31 11:40
,Semantic Causal Abstraction for?Event Prediction,is often useful to reduce the complexity of the causal connections by producing an abstracted version of the graph. In this paper, we introduce semantic causal abstractions, a scheme for constructing abstracted causal graphs in order to provide a domain-independent approximation to formal causal abs作者: 水汽 時(shí)間: 2025-3-31 13:46
,An Evaluation Study of?Intrinsic Motivation Techniques Applied to?Reinforcement Learning over?Hard notable. Among the numerous approaches proposed to deal with these hard exploration problems, intrinsic motivation mechanisms are arguably among the most studied alternatives to date. Advances reported in this area over time have tackled the exploration issue by proposing new algorithmic ideas to ge作者: 公共汽車 時(shí)間: 2025-3-31 19:16 作者: cataract 時(shí)間: 2025-3-31 23:36
Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm,ised keyword extraction algorithm. Both algorithms identify keywords from single documents using mainly a statistical method, providing context independent information. The article describes briefly previous uses of SOBEK in the literature, and presents a detailed description of its text mining algo作者: 思想靈活 時(shí)間: 2025-4-1 03:27 作者: podiatrist 時(shí)間: 2025-4-1 06:53
,A Survey on?the?Application of?Virtual Reality in?Event-Related Potential Research,in the field of Neuroscience, and above all probing newer activity with the analysis of electroencephalographic (EEG) event-related potentials (ERP) is underexplored. This article reviews the state-of-the-art applications of virtual reality in ERP research, analysing current ways to integrate Head-M作者: infringe 時(shí)間: 2025-4-1 12:57 作者: Digitalis 時(shí)間: 2025-4-1 17:35 作者: Bridle 時(shí)間: 2025-4-1 21:52 作者: modifier 時(shí)間: 2025-4-1 23:46 作者: Glucose 時(shí)間: 2025-4-2 03:35
Shaik Masihullah,Meghana Negi,Jose Matthew,Jairaj Sathyanarayanain te nemen. Subassertiviteit is het tegen-overgestelde. Iemand die subassertief is, laat zich te gemakkelijk wegdrukken, offert zich te vaak op en durft nauwelijks ruimte in te nemen. Subassertiviteit gaat vaak samen met andere problemen, zoals relationele problemen en depressiviteit. De schattinge作者: IVORY 時(shí)間: 2025-4-2 10:04
Tomas Cabezon Pedroso,Javier Del Ser,Natalia Díaz-Rodríguezin te nemen. Subassertiviteit is het tegen-overgestelde. Iemand die subassertief is, laat zich te gemakkelijk wegdrukken, offert zich te vaak op en durft nauwelijks ruimte in te nemen. Subassertiviteit gaat vaak samen met andere problemen, zoals relationele problemen en depressiviteit. De schattinge
