Shaily Kabir

Shaily Kabir

Doctor of Philosophy
Associate Professor, Department of Computer Science & Engineering, University of Dhaka, Bangladesh

About

19
Publications
2,643
Reads
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69
Citations
Citations since 2016
14 Research Items
68 Citations
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2016201720182019202020212022051015
Introduction
Shaily Kabir is currently working as an Associate Professor at the Department of Computer Science and Engineering, University of Dhaka.

Publications

Publications (19)
Preprint
Full-text available
Wireless Body Area Network (WBAN) ensures high-quality healthcare services by endowing distant and continual monitoring of patients' health conditions. The security and privacy of the sensitive health-related data transmitted through the WBAN should be preserved to maximize its benefits. In this regard, user authentication is one of the primary mec...
Conference Paper
Regression represents one of the most basic building blocks of data analysis and AI. Despite growing interest in interval-valued data across various fields, approaches to establish regression models for interval-valued data which address and handle the specific properties of given data sets are very limited. For broader use and adoption of regressi...
Preprint
Full-text available
Most of statistics and AI draw insights through modelling discord or variance between sources of information (i.e., inter-source uncertainty). Increasingly, however, research is focusing upon uncertainty arising at the level of individual measurements (i.e., within- or intra-source), such as for a given sensor output or human response. Here, adopti...
Article
In view of the importance of effective comparison of uncertain data in real-world applications, this thesis focuses on developing new similarity measures with high accuracy. As it identifies and articulates an inherent limitation of the popular set-theoretic similarity measures for continuous intervals where they return the same similarity value fo...
Chapter
Recent advances in the literature have leveraged the fuzzy integral (FI), a powerful multi-source aggregation operator, where a fuzzy measure (FM) is used to capture the worth of all combinations of subsets of sources. While in most applications, the FM is defined either by experts or numerically derived through optimization, these approaches are o...
Article
With a growing number of areas leveraging interval-valued data—including in the context of modelling human uncertainty (e.g., in Cyber Security), the capacity to accurately and systematically compare intervals for reasoning and computation is increasingly important. In practice, well established set-theoretic similarity measures such as the Jaccard...
Conference Paper
Discontinuous intervals (DIs) arise in a wide range of contexts, from real world data capture of human opinion to α-cuts of non-convex fuzzy sets. Commonly, for assessing the similarity of DIs, the latter are converted into their continuous form, followed by the application of a continuous interval (CI) compatible similarity measure. While this con...
Conference Paper
Discontinuous intervals (DIs) arise in a wide range of contexts, from real world data capture of human opinion to α-cuts of non-convex fuzzy sets. Commonly, for assessing the similarity of DIs, the latter are converted into their continuous form, followed by the application of a continuous interval (CI) compatible similarity measure. While this con...
Conference Paper
Full-text available
Similarity measures are useful for reasoning about fuzzy sets. Hence, many classical set-theoretic similarity measures have been extended for comparing fuzzy sets. In previous work, a set-theoretic similarity measure considering the bidirectional subsethood for intervals was introduced. The measure addressed specific concerns of many common similar...
Conference Paper
Non-Singleton Fuzzy Logic Systems (NSFLSs) have the potential to tackle uncertainty within the design of fuzzy systems. The inference process has a major role in determining results, being partly based on the interaction of input and antecedent fuzzy sets (in generating firing levels). Recent studies have shown that the standard technique for deter...
Conference Paper
Full-text available
In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs of intervals. To address this, we propose a new similarity measure that uses a bi-directional approa...
Article
Full-text available
In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs of intervals. To address this, we propose a new similarity measure that uses a bi-directional approa...
Article
Full-text available
Searching useful information from the web, a popular activity, often involves huge irrelevant contents or noises leading to difficulties in extracting useful information. Indeed, search engines, crawlers and information agents may often fail to separate relevant information from noises indicating significance of efficient search results. Earlier, s...
Article
Full-text available
We present a new weighted session similarity measure to capture the browsing interests of users in web usage profiles discovered from web log data. We base our similarity measure on the reasonable assumption that when users spend longer times on pages or revisit pages in the same session, then very likely, such pages are of greater interest to the...
Article
Full-text available
Facial image morphing is a popular class of techniques used to produce the in-between sequences based on two facial images and predefined correspondence between them. The appeal of morphing is to produce the images that are strikingly lifelike and visually convincing. This paper proposes a method based on pixel correspondence wrapping for establish...

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