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researcher

Mazharul Islam

University of Jinan

4 papers hereh-index 449 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.IR1
  • cs.LG1
  • cs.NE1
affiliations
  • University of Jinan
ORCID 0000-0001-8101-2385
same name
  • Mazharul Islam — 5 papers, h 8
  • Mazharul Islam — 1 paper, h 0
  • Mazharul Islam — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedA Definition and a Test for Human-Level Artificial Intelligence

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

A CDF-First Framework for Free-Form Density Estimation

Chenglong Song, Mazharul Islam, Lin Wang +2

Conditional density estimation (CDE) is a fundamental task in machine learning that aims to model the full conditional law P(y∣x), beyond mere poi…

cs.AI2020★ 1 cited

A Definition and a Test for Human-Level Artificial Intelligence

Deokgun Park, Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula +1

Despite recent advances of AI research in many application-specific domains, we do not know how to build a human-level artificial intelligence (HLAI). We conjecture that learning f…

cs.IR2020

Dimensionality Reduction for Sentiment Classification: Evolving for the Most Prominent and Separable Features

Aftab Anjum, Mazharul Islam, Lin Wang

In sentiment classification, the enormous amount of textual data, its immense dimensionality, and inherent noise make it extremely difficult for machine learning classifiers to ext…

cs.NE2019

Improving Neural Network Classifier using Gradient-based Floating Centroid Method

Mazharul Islam, Shuangrong Liu, Lin Wang +1

Floating centroid method (FCM) offers an efficient way to solve a fixed-centroid problem for the neural network classifiers. However, evolutionary computation as its optimization m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.