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researcher

M. Islam

18 papers hereh-index 303.3k citations172 works total

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

author position
  • middle author5
  • last author13

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CR4
  • cs.DB2
  • cs.AI1
  • cs.NI1
  • cs.SI1
same name
  • M. Islam — 23 papers, h 35
  • M. Islam — 14 papers, h 15
  • M. Islam — 12 papers, h 24
  • M. Islam — 11 papers, h 25
  • M. Islam — 11 papers, h 7
  • M. Islam — 9 papers, h 22

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
20102023
most citedDetecting Autism Spectrum Disorder using Machine Learning

118 citations · 224 across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020★ 118 cited

Detecting Autism Spectrum Disorder using Machine Learning

Md Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar +1

Autism Spectrum Disorder (ASD), which is a neuro development disorder, is often accompanied by sensory issues such an over sensitivity or under sensitivity to sounds and smells or…

cs.LG2020★ 1 cited

FastForest: Increasing Random Forest Processing Speed While Maintaining Accuracy

Darren Yates, Md Zahidul Islam

Random Forest remains one of Data Mining's most enduring ensemble algorithms, achieving well-documented levels of accuracy and processing speed, as well as regularly appearing in n…

cs.LG2020★ 2 cited

A Novel Incremental Clustering Technique with Concept Drift Detection

Mitchell D. Woodbright, Md Anisur Rahman, Md Zahidul Islam

Data are being collected from various aspects of life. These data can often arrive in chunks/batches. Traditional static clustering algorithms are not suitable for dynamic datasets…

cs.LG2020★ 1 cited

Tree Index: A New Cluster Evaluation Technique

A. H. Beg, Md Zahidul Islam, Vladimir Estivill-Castro

We introduce a cluster evaluation technique called Tree Index. Our Tree Index algorithm aims at describing the structural information of the clustering rather than the quantitative…

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