most citedDeep neural network ensemble by data augmentation and bagging for skin lesion classification

7 citations · 15 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023

Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation

Chung-Soo Ahn, Jagath C. Rajapakse, Rajib Rana

While speech emotion recognition (SER) research has made significant progress, achieving generalization across various corpora continues to pose a problem. We propose a novel domai…

cs.CV2023

Self-supervised learning for hotspot detection and isolation from thermal images

Shreyas Goyal, Jagath C. Rajapakse

Hotspot detection using thermal imaging has recently become essential in several industrial applications, such as security applications, health applications, and equipment monitori…

eess.IV2023★ 2 cited

Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans

Yanteng Zhanga, Xiaohai He, Yi Hao Chan +2

In recent years, deep learning models have been applied to neuroimaging data for early diagnosis of Alzheimer's disease (AD). Structural magnetic resonance imaging (sMRI) and posit…

cs.CL2018

Marshall-Olkin Power-Law Distributions in Length-Frequency of Entities

Xiaoshi Zhong, Xiang Yu, Erik Cambria +1

Entities involve important concepts with concrete meanings and play important roles in numerous linguistic tasks. Entities have different forms in different linguistic tasks and re…

cs.CL2018★ 1 cited

Large Language Models for Few-Shot Named Entity Recognition

Yufei Zhao, Xiaoshi Zhong, Erik Cambria +1

Named entity recognition (NER) is a fundamental task in numerous downstream applications. Recently, researchers have employed pre-trained language models (PLMs) and large language…

cs.CV2018★ 7 cited

Deep neural network ensemble by data augmentation and bagging for skin lesion classification

Manik Goyal, Jagath C. Rajapakse

This work summarizes our submission for the Task 3: Disease Classification of ISIC 2018 challenge in Skin Lesion Analysis Towards Melanoma Detection. We use a novel deep neural net…

cs.CV2018★ 5 cited

Automatic segmentation of skin lesions using deep learning

Joshua Peter Ebenezer, Jagath C. Rajapakse

This paper summarizes the method used in our submission to Task 1 of the International Skin Imaging Collaboration's (ISIC) Skin Lesion Analysis Towards Melanoma Detection challenge…