標(biāo)題: Titlebook: Explainable AI: Foundations, Methodologies and Applications; Mayuri Mehta,Vasile Palade ,Indranath Chatterjee Book 2023 The Editor(s) (if [打印本頁] 作者: fundoplication 時(shí)間: 2025-3-21 18:15
書目名稱Explainable AI: Foundations, Methodologies and Applications影響因子(影響力)
書目名稱Explainable AI: Foundations, Methodologies and Applications影響因子(影響力)學(xué)科排名
書目名稱Explainable AI: Foundations, Methodologies and Applications網(wǎng)絡(luò)公開度
書目名稱Explainable AI: Foundations, Methodologies and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Explainable AI: Foundations, Methodologies and Applications被引頻次
書目名稱Explainable AI: Foundations, Methodologies and Applications被引頻次學(xué)科排名
書目名稱Explainable AI: Foundations, Methodologies and Applications年度引用
書目名稱Explainable AI: Foundations, Methodologies and Applications年度引用學(xué)科排名
書目名稱Explainable AI: Foundations, Methodologies and Applications讀者反饋
書目名稱Explainable AI: Foundations, Methodologies and Applications讀者反饋學(xué)科排名
作者: 駭人 時(shí)間: 2025-3-21 22:02
Black Box Models for eXplainable Artificial Intelligence,o multiple small options for the IDS area. This chapter aims to implement the arrangement of issues labeled in the various black box methods. This survey helps the researcher to understand the classification of various black box models.作者: PTCA635 時(shí)間: 2025-3-22 03:25 作者: 后退 時(shí)間: 2025-3-22 07:15
Methods and Metrics for Explaining Artificial Intelligence Models: A Review, For clarity on the XAI implementation stage, Pre-model, In-model, and Post-model explainability are elaborated along with the model-agnostic and model-specific techniques. The chapter concludes with a brief discussion on a simple use-case of implementing the XAI method in a real-life problem follow作者: 群居男女 時(shí)間: 2025-3-22 09:31 作者: FLIP 時(shí)間: 2025-3-22 14:37
Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP, is a safety critical one and thus requires a qualitative assessment of the reasons for the predictions of the WhONet model at any point of use. There is therefore the need to provide explanations for the WhONet’s predictions to justify its reliability and thus provide a higher level of transparency作者: FLIP 時(shí)間: 2025-3-22 18:09 作者: LAIR 時(shí)間: 2025-3-23 00:43 作者: 無王時(shí)期, 時(shí)間: 2025-3-23 04:53
An Overview of Explainable AI Methods, Forms and Frameworks,作者: FLOAT 時(shí)間: 2025-3-23 08:08 作者: 性行為放縱者 時(shí)間: 2025-3-23 10:14 作者: 假裝是你 時(shí)間: 2025-3-23 15:26
Efrat Tiram,Zilla Sinuany-Sterno multiple small options for the IDS area. This chapter aims to implement the arrangement of issues labeled in the various black box methods. This survey helps the researcher to understand the classification of various black box models.作者: 友好 時(shí)間: 2025-3-23 21:05
Interdiction Models and Applications,s in the construction of XAI concepts, we show that neural networks are no less explanatory AI than linear models and decision trees. Moreover, we will show what the neural network approach can do so that the explanation will not need to be exchanged for the quality of AI algorithms, and that they c作者: Congregate 時(shí)間: 2025-3-24 00:10 作者: 用不完 時(shí)間: 2025-3-24 04:15 作者: 白楊 時(shí)間: 2025-3-24 09:39
Pando G. Georgiev,Fabian J. Theis is a safety critical one and thus requires a qualitative assessment of the reasons for the predictions of the WhONet model at any point of use. There is therefore the need to provide explanations for the WhONet’s predictions to justify its reliability and thus provide a higher level of transparency作者: champaign 時(shí)間: 2025-3-24 14:07 作者: 抵制 時(shí)間: 2025-3-24 15:30
Gabrio Caimi,Frank Fischer,Thomas Schlechtele in healthcare systems. The proposed system is implemented completely on Raspberry Pi allowing a complete embedded application. The application is developed using Python and HTML. PyCharm/Visual Studio Code with the help of an open-source library is used for training, defining, etc. Machine learni作者: ablate 時(shí)間: 2025-3-24 19:49 作者: 可以任性 時(shí)間: 2025-3-25 01:48 作者: 極深 時(shí)間: 2025-3-25 05:06
Explainable AI Driven Applications for Patient Care and Treatment,doctors, but patients, health care departments, and Insurance companies. This chapter later focuses on various AI-driven Applications which are used for patient care and treatment. This chapter shed light on the purpose and benefits of XAI along with a few real examples.作者: 微生物 時(shí)間: 2025-3-25 09:35 作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-25 14:20 作者: 不要嚴(yán)酷 時(shí)間: 2025-3-25 17:21
Human-AI Interfaces are a Central Component of Trustworthy AI,I) research can be adapted to human-AI interaction (HAII) in support of this goal. The practical implementation of a user-centric approach is described within the context of AI applications in computational pathology.作者: wreathe 時(shí)間: 2025-3-25 22:29 作者: insecticide 時(shí)間: 2025-3-26 00:40
Intelligent Systems Reference Libraryhttp://image.papertrans.cn/e/image/319284.jpg作者: 細(xì)胞膜 時(shí)間: 2025-3-26 05:07
https://doi.org/10.1007/978-1-4614-0754-6ial Intelligence (AI) algorithms. Rather, linear models were preferred, and they were easy to understand and interpret. Things started changing with the advent of more advanced processing units, in the last decade, when the algorithms took on real-world problems. The models began getting bigger and better.作者: cipher 時(shí)間: 2025-3-26 10:06 作者: 四牛在彎曲 時(shí)間: 2025-3-26 16:14 作者: 拱形大橋 時(shí)間: 2025-3-26 18:45 作者: ILEUM 時(shí)間: 2025-3-26 23:22 作者: orthopedist 時(shí)間: 2025-3-27 01:59 作者: Dealing 時(shí)間: 2025-3-27 09:18
https://doi.org/10.1007/978-1-4614-0754-6ial Intelligence (AI) algorithms. Rather, linear models were preferred, and they were easy to understand and interpret. Things started changing with the advent of more advanced processing units, in the last decade, when the algorithms took on real-world problems. The models began getting bigger and 作者: 語言學(xué) 時(shí)間: 2025-3-27 09:27
https://doi.org/10.1007/978-3-030-36115-0care industry from hospital care to clinical research, drug development, to insurance, and has been able to reduce costs and improve patient outcomes. Most AI system works as a black box with little or no explanation which results in a lack of trust and accountability among patients and doctors. Thi作者: EVEN 時(shí)間: 2025-3-27 14:49
Pando G. Georgiev,Fabian J. Theist. One of the major systems influencing the safety of AVs is its navigation system. Road localisation of autonomous vehicles is reliant on consistent accurate Global Navigation Satellite System (GNSS) positioning information. The GNSS relies on a number of satellites to perform triangulation and may作者: 受辱 時(shí)間: 2025-3-27 18:19
Telecommunications Network Designip-off providers. Thus, in the proposed work an attempt has been made to help the Law Enforcement (LE) personnel to assess the legitimacy of a Tip-off from a voice call. For the aforesaid objective, four widely used mental states such as ‘Anger’, ‘Happy’, ‘Sadness’, and ‘Neutral’ have been considere作者: 按等級 時(shí)間: 2025-3-28 01:40 作者: osteopath 時(shí)間: 2025-3-28 02:41 作者: instructive 時(shí)間: 2025-3-28 07:37 作者: 小臼 時(shí)間: 2025-3-28 11:13 作者: Arteriography 時(shí)間: 2025-3-28 15:46 作者: 晚間 時(shí)間: 2025-3-28 19:43 作者: 缺陷 時(shí)間: 2025-3-28 23:19
Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why?,s not surprising, since this area began to be actively centralized and actively developed only 6?years ago. But the strange thing is that the motives not only do not converge but may contradict each other. This indicates that there are fundamental errors in the very construction of different XAI con作者: 方便 時(shí)間: 2025-3-29 06:56 作者: 他去就結(jié)束 時(shí)間: 2025-3-29 09:24
Evaluation Measures and Applications for Explainable AI,rowing size and complexity of these models, it’s becoming more difficult to grasp how they arrive at their forecasts and when they go incorrect or even worse. Now, think of a situation in which we humans could open these black-box learning models and translate the content into a human-understandable作者: 吞吞吐吐 時(shí)間: 2025-3-29 14:39 作者: 積習(xí)已深 時(shí)間: 2025-3-29 17:43 作者: liaison 時(shí)間: 2025-3-29 22:08
Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP,t. One of the major systems influencing the safety of AVs is its navigation system. Road localisation of autonomous vehicles is reliant on consistent accurate Global Navigation Satellite System (GNSS) positioning information. The GNSS relies on a number of satellites to perform triangulation and may作者: EVEN 時(shí)間: 2025-3-30 00:14
A Smart System for the Assessment of Genuineness or Trustworthiness of the Tip-Off Using Audio Signip-off providers. Thus, in the proposed work an attempt has been made to help the Law Enforcement (LE) personnel to assess the legitimacy of a Tip-off from a voice call. For the aforesaid objective, four widely used mental states such as ‘Anger’, ‘Happy’, ‘Sadness’, and ‘Neutral’ have been considere
