40 citations · 143 across the 13 of their papers we have counts for
14 papers
CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets
Mominul Islam, Hasib Zunair, Nabeel Mohammed
Crafting effective deep learning models for medical image analysis is a complex task, particularly in cases where the medical image dataset lacks significant inter-class variation.…
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification
Abu Adnan Sadi, Labib Chowdhury, Nusrat Jahan +4
With advances in digital technology, the classification of medical images has become a crucial step for image-based clinical decision support systems. Automatic medical image class…
Knowledge Distillation approach towards Melanoma Detection
Md. Shakib Khan, Kazi Nabiul Alam, Abdur Rab Dhruba +2
Melanoma is regarded as the most threatening among all skin cancers. There is a pressing need to build systems which can aid in the early detection of melanoma and enable timely tr…
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models
Mohammed Rakib, Md. Ismail Hossain, Nabeel Mohammed +1
Although over 300M around the world speak Bangla, scant work has been done in improving Bangla voice-to-text transcription due to Bangla being a low-resource language. However, wit…
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition
Md. Ismail Hossain, Mohammed Rakib, Sabbir Mollah +2
Word-level handwritten optical character recognition (OCR) remains a challenge for morphologically rich languages like Bangla. The complexity arises from the existence of a large n…
Rethinking Task-Incremental Learning Baselines
Md Sazzad Hossain, Pritom Saha, Townim Faisal Chowdhury +3
It is common to have continuous streams of new data that need to be introduced in the system in real-world applications. The model needs to learn newly added capabilities (future t…