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Abu Raihan Mostofa Kamal

9 papers hereh-index 340 citations7 works total

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

author position
  • middle author3
  • last author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CL2
  • cs.CR1
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedA Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing 2026 · cs.LGShow all

3 papers · 2 filters

cs.LG2026

Ensemble Classification and Cancer-Specific Gene Signatures from Quality-Aware Hybrid Gene Selection in TCGA RNA-Seq data

Tareque Mohmud Chowdhury, Abu Raihan Mostofa Kamal

Gene-expression classifiers of cancer type are usually developed and validated within one cohort using random splits. Starting from a quality-aware hybrid Boruta selector from earl…

cs.LG2026

Tree Depth and Sample-Quality-Associated Features: Two Hidden Factors in Boruta Selection for RNA-Seq Data Classification

Tareque Mohmud Chowdhury, Abu Raihan Mostofa Kamal

Random Forest--based selectors such as Boruta depend on tree depth, yet Boruta's most used implementation, BorutaPy, recommends depths of 3 to 7 without published evidence. We test…

cs.LG2026

Routing Is Not Enough: Diagnosing Intra-Adapter Subspace Contention in MoE+LoRA Fine-Tuning

Mehreen Hossain Chowdhury, Nowshin Mahjabin, Ahmed Shafin Ruhan +3

Multi-domain fine-tuning often combines MoE routing with LoRA, assuming that token-level routing separates domain-specific updates. We test this assumption in MoE+LoRA using Python…

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