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20192025
most citedLevels of explainable artificial intelligence for human-aligned conversational explanations

120 citations · 347 across the 16 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.LG2019★ 7 cited

Improved histogram-based anomaly detector with the extended principal component features

Sunil Aryal, Arbind Agrahari Baniya, KC Santosh

In this era of big data, databases are growing rapidly in terms of the number of records. Fast automatic detection of anomalous records in these massive databases is a challenging…

cs.CV2019★ 15 cited

Unsupervised Deep Features for Privacy Image Classification

Chiranjibi Sitaula, Yong Xiang, Sunil Aryal +1

Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful represent…

cs.CV2019★ 9 cited

Tag-based Semantic Features for Scene Image Classification

Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2

The existing image feature extraction methods are primarily based on the content and structure information of images, and rarely consider the contextual semantic information. Regar…

cs.CV2019★ 15 cited

Indoor image representation by high-level semantic features

Chiranjibi Sitaula, Yong Xiang, Yushu Zhang +2

Indoor image features extraction is a fundamental problem in multiple fields such as image processing, pattern recognition, robotics and so on. Nevertheless, most of the existing f…

cs.IR2019★ 17 cited

A new simple and effective measure for bag-of-word inter-document similarity measurement

Sunil Aryal, Kai Ming Ting, Takashi Washio +1

To measure the similarity of two documents in the bag-of-words (BoW) vector representation, different term weighting schemes are used to improve the performance of cosine similarit…