語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Explainable AI = foundations, method...
~
Mehta, Mayuri.
FindBook
Google Book
Amazon
博客來
Explainable AI = foundations, methodologies and applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Explainable AI/ edited by Mayuri Mehta, Vasile Palade, Indranath Chatterjee.
其他題名:
foundations, methodologies and applications /
其他作者:
Mehta, Mayuri.
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
xxii, 256 p. :ill. (chiefly color), digital ;24 cm.
內容註:
Black Box Models for eXplainable Artificial Intelligence -- Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why? -- An Overview of Explainable AI Methods, Forms and Frameworks.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Philosophy. -
電子資源:
https://doi.org/10.1007/978-3-031-12807-3
ISBN:
9783031128073
Explainable AI = foundations, methodologies and applications /
Explainable AI
foundations, methodologies and applications /[electronic resource] :edited by Mayuri Mehta, Vasile Palade, Indranath Chatterjee. - Cham :Springer International Publishing :2023. - xxii, 256 p. :ill. (chiefly color), digital ;24 cm. - Intelligent systems reference library,v. 2321868-4408 ;. - Intelligent systems reference library ;v. 232..
Black Box Models for eXplainable Artificial Intelligence -- Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why? -- An Overview of Explainable AI Methods, Forms and Frameworks.
This book presents an overview and several applications of explainable artificial intelligence (XAI) It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
ISBN: 9783031128073
Standard No.: 10.1007/978-3-031-12807-3doiSubjects--Topical Terms:
791615
Artificial intelligence
--Philosophy.
LC Class. No.: Q334.7
Dewey Class. No.: 006.301
Explainable AI = foundations, methodologies and applications /
LDR
:02496nmm a2200337 a 4500
001
2314878
003
DE-He213
005
20221019053337.0
006
m d
007
cr nn 008maaau
008
230902s2023 sz s 0 eng d
020
$a
9783031128073
$q
(electronic bk.)
020
$a
9783031128066
$q
(paper)
024
7
$a
10.1007/978-3-031-12807-3
$2
doi
035
$a
978-3-031-12807-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q334.7
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.301
$2
23
090
$a
Q334.7
$b
.E96 2023
245
0 0
$a
Explainable AI
$h
[electronic resource] :
$b
foundations, methodologies and applications /
$c
edited by Mayuri Mehta, Vasile Palade, Indranath Chatterjee.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2023.
300
$a
xxii, 256 p. :
$b
ill. (chiefly color), digital ;
$c
24 cm.
490
1
$a
Intelligent systems reference library,
$x
1868-4408 ;
$v
v. 232
505
0
$a
Black Box Models for eXplainable Artificial Intelligence -- Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why? -- An Overview of Explainable AI Methods, Forms and Frameworks.
520
$a
This book presents an overview and several applications of explainable artificial intelligence (XAI) It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
650
0
$a
Artificial intelligence
$x
Philosophy.
$3
791615
650
1 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Machine Learning.
$3
3382522
650
2 4
$a
Artificial Intelligence.
$3
769149
700
1
$a
Mehta, Mayuri.
$3
3590498
700
1
$a
Palade, Vasile.
$3
890890
700
1
$a
Chatterjee, Indranath.
$3
3625125
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Intelligent systems reference library ;
$v
v. 232.
$3
3626730
856
4 0
$u
https://doi.org/10.1007/978-3-031-12807-3
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9451128
電子資源
11.線上閱覽_V
電子書
EB Q334.7
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入