Meem Arafat Manab

Orcid: 0000-0002-2336-4160

According to our database1, Meem Arafat Manab authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DAOnt: A Formal Ontology for EU Data Act Compliance.
CoRR, April, 2026

Aerial Flood Scene Classification Using Fine-Tuned Attention-Based Architecture for Flood-Prone Countries in South Asia.
IEEE Access, 2026

2025
TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models.
CoRR, April, 2025

Involution fused convolution for classifying eye-tracking patterns of children with Autism Spectrum Disorder.
Eng. Appl. Artif. Intell., 2025

Involution-based efficient autoencoder for denoising histopathological images with enhanced hybrid feature extraction.
Comput. Biol. Medicine, 2025

BAMPolyp: Bi-Axial Mamba Bottleneck for Gastrointestinal Polyp Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation.
CoRR, 2024

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search.
CoRR, 2024

Eternal Sunshine of the Mechanical Mind: The Irreconcilability of Machine Learning and the Right to be Forgotten.
CoRR, 2024

Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder.
CoRR, 2024

TWIG: Two-Step Image Generation Using Segmentation Masks as an Intermediary in Diffusion Models to Prevent Copyright Infringement.
Proceedings of the Privacy and Identity Management. Generating Futures, 2024

2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm.
CoRR, 2023

Unmasking the Invisible: Finding Location-Specific Aggregated Air Quality Index with Smartphone-Captured Images.
CoRR, 2023

Exploring Node Classification Uncertainty in Graph Neural Networks.
Proceedings of the 2023 ACM Southeast Conference, 2023

2022
How certain are tansformers in image classification: uncertainty analysis with Monte Carlo dropout.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022


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