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Md Saiful Islam

4 papers hereh-index 232 citations8 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
  • cs.LG1
same name
  • Md Saiful Islam — 3 papers, h 3
  • Md Saiful Islam — 1 paper, h 1
  • Md Saiful Islam — 1 paper, h 7

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

collaborators

4 papers

cs.AI2026

Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI

Md. Hasin Sarwar Ifty, Nisharga Nirjan, Labib Islam +4

The unrestrained proliferation of cells that are malignant in nature is cancer. In recent times, medical professionals are constantly acquiring enhanced diagnostic and treatment ab…

cs.LG2025

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet

Md Kamrujjaman Mobin, Md Saiful Islam, Sadik Al Barid +1

Electrocardiogram (ECG) classification is crucial for automated cardiac disease diagnosis, yet existing methods often struggle to capture local morphological details and long-range…

cs.CL2025

LuxVeri at GenAI Detection Task 3: Cross-Domain Detection of AI-Generated Text Using Inverse Perplexity-Weighted Ensemble of Fine-Tuned Transformer Models

Md Kamrujjaman Mobin, Md Saiful Islam

This paper presents our approach for Task 3 of the GenAI content detection workshop at COLING-2025, focusing on Cross-Domain Machine-Generated Text (MGT) Detection. We propose an e…

cs.CL2025

LuxVeri at GenAI Detection Task 1: Inverse Perplexity Weighted Ensemble for Robust Detection of AI-Generated Text across English and Multilingual Contexts

Md Kamrujjaman Mobin, Md Saiful Islam

This paper presents a system developed for Task 1 of the COLING 2025 Workshop on Detecting AI-Generated Content, focusing on the binary classification of machine-generated versus h…

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