Results 51 to 60 of about 78,288 (166)

Explainable and responsible artificial intelligence [PDF]

Electronic Markets, 2022
Christian Meske, Babak Abedin, Mathias Klier, Fethi Rabhi   +3 more
openaire   +2 more sources

Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential Recommendation

IEEE Access
In recommender systems, leveraging user interaction history as sequential information has recently led to significant performance improvements. However, in many online services, user interactions are often grouped into sessions that inherently share user
Jinseok Seol, Youngrok Ko, Sang-Goo Lee
doaj   +1 more source

The Intuitive Appeal of Explainable Machines [PDF]

, 2018
Algorithmic decision-making has become synonymous with inexplicable decision-making, but what makes algorithms so difficult to explain? This Article examines what sets machine learning apart from other ways of developing rules for decision-making and the
Barocas, Solon, Selbst, Andrew D.
core   +1 more source

The Role of Causality in Explainable Artificial Intelligence

WIREs Data Mining and Knowledge Discovery
ABSTRACTCausality and eXplainable Artificial Intelligence (XAI) have developed as separate fields in computer science, even though the underlying concepts of causation and explanation share common ancient roots. This is further enforced by the lack of review works jointly covering these two fields. In this paper, we investigate the literature to try to
Carloni, Gianluca, Berti, Andrea, Colantonio, Sara   +2 more
openaire   +4 more sources

Fully Interpretable Deep Learning Model Using IR Thermal Images for Possible Breast Cancer Cases

Biomimetics
Breast cancer remains a global health problem requiring effective diagnostic methods for early detection, in order to achieve the World Health Organization’s ultimate goal of breast self-examination. A literature review indicates the urgency of improving
Yerken Mirasbekov, Nurduman Aidossov, Aigerim Mashekova, Vasilios Zarikas, Yong Zhao, Eddie Yin Kwee Ng, Anna Midlenko   +6 more
doaj   +1 more source

Automated Reasoning for Explainable Artificial Intelligence

EPiC Series in Computing, 2018
Reasoning and learning have been considered fundamental features of intelligence ever since the dawn of the field of artificial intelligence, leading to the development of the research areas of automated reasoning and machine learning. This short paper is a non-technical position statement that aims at prompting a discussion of the relationship between
openaire   +3 more sources

A maize-centric framework for explainable artificial intelligence in decoding drought tolerance mechanisms

Discover Plants
Climate change-induced drought threatens global food security, with reports indicating that maize yield losses can exceed 30% in vulnerable regions, such as sub-Saharan Africa and South Asia.
Bushra Quyoom, Aijaz Ahmad Wani, Ajaz Ahmad Lone, Zahoor Ahmad Dar, Bilal Ahmad Mir, Latif Ahmad Peer   +5 more
doaj   +1 more source

A Trust-Centered Explainable Deep-Learning Framework for Acute Lymphoblastic Leukemia Detection Using Multi-Model Fusion and Interpretability Scoring

Algorithms
Currently, advances in healthcare technologies are transforming medical diagnostics, particularly for data-driven disease detection. Acute lymphoblastic leukemia is a common and life-threatening blood cancer, especially prevalent in children.
Khadija Parwez, Syed Irfan Sohail, Muhammad Bilal, Wesam Shishah, Ali Raza, Mubeen Javed   +5 more
doaj   +1 more source

Causal Inference

Engineering, 2020
Causal inference is a powerful modeling tool for explanatory analysis, which might enable current machine learning to become explainable. How to marry causal inference with machine learning to develop explainable artificial intelligence (XAI) algorithms ...
Kun Kuang, Lian Li, Zhi Geng, Lei Xu, Kun Zhang, Beishui Liao, Huaxin Huang, Peng Ding, Wang Miao, Zhichao Jiang   +9 more
doaj   +1 more source

Explainable Artificial Intelligence for Diabetes Diagnosis [PDF]

E3S Web of Conferences
Whether young, old, type 1, type 2, gestational, newly diagnosed, long-time sufferer, caretaker or loved one, millions of people are afflicted and affected by diabetes.
Lamri Mohamed, Sahour Abdelhakim, Boumehrez Farouk, Bekhouche Abdelaali   +3 more
doaj   +1 more source