An Investigation of Hepatitis B Virus Genome using Markov Models

no code implementations • 12 Nov 2023 • Khadijeh, Jahanian, Elnaz Shalbafian, Morteza Saberi, Roohallah Alizadehsani, Iman Dehzangi

Our analyses reveal that either APOBEC3 enzymes are not active against HBV, or the induction of G-to-A mutations by these enzymes is not sequence context-dependent in the HBV genome.

ChatGPT-guided Semantics for Zero-shot Learning

1 code implementation • 18 Oct 2023 • Fahimul Hoque Shubho, Townim Faisal Chowdhury, Ali Cheraghian, Morteza Saberi, Nabeel Mohammed, Shafin Rahman

Then, we enrich word vectors by combining the word embeddings from class names and descriptions generated by ChatGPT.

Attribute Language Modelling +3

Prompt-guided Scene Generation for 3D Zero-Shot Learning

no code implementations • 29 Sep 2022 • Majid Nasiri, Ali Cheraghian, Townim Faisal Chowdhury, Sahar Ahmadi, Morteza Saberi, Shafin Rahman

To address this problem, we propose a prompt-guided 3D scene generation and supervision method that augments 3D data to learn the network better, exploring the complex interplay of seen and unseen objects.

Contrastive Learning Data Augmentation +2

Few-shot Class-incremental Learning for 3D Point Cloud Objects

1 code implementation • 30 May 2022 • Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman

Few-shot class-incremental learning (FSCIL) aims to incrementally fine-tune a model (trained on base classes) for a novel set of classes using a few examples without forgetting the previous training.

Few-Shot Class-Incremental Learning Incremental Learning