Rationalization for explainable NLP: a survey
Recent advances in deep learning have improved the performance of many Natural
Language Processing (NLP) tasks such as translation, question-answering, and text …
Language Processing (NLP) tasks such as translation, question-answering, and text …
Research on unsupervised feature learning for android malware detection based on restricted Boltzmann machines
Android malware detection has attracted much attention in recent years. Existing methods
mainly research on extracting static or dynamic features from mobile apps and build mobile …
mainly research on extracting static or dynamic features from mobile apps and build mobile …
Fair decision-making under uncertainty
There has been concern within the artificial intelligence (AI) community and the broader
society regarding the potential lack of fairness of AI-based decision-making systems …
society regarding the potential lack of fairness of AI-based decision-making systems …
A generic knowledge based medical diagnosis expert system
In this paper, we design and implement a generic medical knowledge based system (MKBS)
for identifying diseases from several symptoms. In this system, some important aspects like …
for identifying diseases from several symptoms. In this system, some important aspects like …
Interpretable visual understanding with cognitive attention network
While image understanding on recognition-level has achieved remarkable advancements,
reliable visual scene understanding requires comprehensive image understanding on …
reliable visual scene understanding requires comprehensive image understanding on …
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
The integration of Artificial Intelligence (AI) into education has transformative potential,
providing tailored learning experiences and creative instructional approaches. However, the …
providing tailored learning experiences and creative instructional approaches. However, the …
Responsibility management through responsibility networks
R Chen, J Qiu, X Tang - arXiv preprint arXiv:2102.07246, 2021 - arxiv.org
The safety management is critically important in the workplace. Unfortunately, responsibility
issues therein such as inefficient supervision, poor evaluation and inadequate perception …
issues therein such as inefficient supervision, poor evaluation and inadequate perception …
The internet of responsibilities-connecting human responsibilities using big data and blockchain
X Tang, J Qiu, W Zhang, I Toure… - … Conference on Big …, 2019 - ieeexplore.ieee.org
Accountability in the workplace is critically important and remains a challenging problem,
especially with respect to workplace safety management. In this paper, we introduce a novel …
especially with respect to workplace safety management. In this paper, we introduce a novel …
Attention Mechanism based Cognition-level Scene Understanding
Given a question-image input, the Visual Commonsense Reasoning (VCR) model can
predict an answer with the corresponding rationale, which requires inference ability from the …
predict an answer with the corresponding rationale, which requires inference ability from the …
Research on fine-tuning CNN for cancer diagnosis with gene expression data
Z Liu, R Wang, J Yang, W Zhang - Proceedings of the 2022 14th …, 2022 - dl.acm.org
Convolutional neural networks have been used for cancer type prediction with gene
expression data. However, its success is impeded by the lack of large labeled datasets in …
expression data. However, its success is impeded by the lack of large labeled datasets in …