Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Amit K. Saha

dblp:98/6167 · DBLP profile ↗
← Back
4ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 50% Data models and query languages · 50%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages › uncertain data
fuzzy data model		 0.012002
An Object-Oriented Fuzzy Data Model for Similarity Detection in Image Databases · IEEE Trans. Knowl. Data Eng. 2002
Information retrieval
image retrieval		 0.012002
An Object-Oriented Fuzzy Data Model for Similarity Detection in Image Databases · IEEE Trans. Knowl. Data Eng. 2002

Methods — techniques the papers use, named apart from their topics

object-oriented graph model · 0.1fuzzy graph matching · 0.1
YearPublicationVenuePosition
2021 Prediction Model for Detecting Asymptomatic Covid-19 Infection in Preoperative Patients
Amit K. Saha, Scott Segal
 AMIA1
2018 An improved Harmony Search Algorithm embedded with a novel piecewise opposition based learning algorithm
Ritesh Sarkhel, Nibaran Das, Amit K. Saha, Mita Nasipuri
 Eng. Appl. Artif. Intell.3
2016 A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition
Ritesh Sarkhel, Nibaran Das, Amit K. Saha, Mita Nasipuri
 Pattern Recognit.3
2002 An Object-Oriented Fuzzy Data Model for Similarity Detection in Image Databases
abstract
We introduce a fuzzy set theoretic approach for dealing with uncertainty in images in the context of spatial and topological relations existing among the objects in the image. We propose an object-oriented graph theoretic model for representing an image and this model allows us to assess the similarity between images using the concept of (fuzzy) graph matching. Sufficient flexibility has been provided in the similarity algorithm so that different features of an image may be independently focused upon.
Arun K. Majumdar, Indrajit Bhattacharya, Amit K. Saha
 IEEE Trans. Knowl. Data Eng.3