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ESCORT Dataset
The dataset contains Ethereum smart contracts vulnerability detection using deep neural network and transfer learning. -
I2B2 2009 Medical Extraction Challenge
I2B2 2009 Medical Extraction Challenge -
I2B2 2009 Medical Information Extraction Challenge
Named Entity Recognition in Electronic Health Records using Transfer Learning Bootstrapped Neural Networks -
Causal Transfer Random Forest
The dataset used in the paper is a combination of logged data and randomized experiment data. -
Network Transplanting
The dataset used in the paper for network transplanting. -
Genetic Algorithm based hyper-parameters optimization for transfer Convolutio...
Hyperparameter optimization for transfer Convolutional Neural Networks (CNN) using Genetic Algorithm -
KOMPETENCER
Skill Classification (SC) is the task of classifying job competences from job postings. This work is the first in SC applied to Danish job vacancy data. We release the first Danish... -
One-Shot Transfer Learning of Physics-Informed Neural Networks
The dataset used in this paper for one-shot transfer learning of physics-informed neural networks. -
Heritage-Health-Transfer
Heritage-Health-Transfer: A modified version of the Heritage Health dataset, focusing on transfer tasks. -
ACS-Transfer
ACS-Transfer: A modified version of the ACS dataset, focusing on transfer tasks. -
Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers
The Audio Spectrogram Transformer (AST) model is used for audio classification tasks. -
Bumble Bee Species Image Classification
Bumble bee species image classification dataset -
Offline Handwriting Signature Verification: A Transfer Learning and Feature S...
A large dataset of 12600 images from 420 distinct individuals, each with 30 signatures of a certain kind. -
GMISeg: General Medical Image Segmentation without Re-Training
A general model for medical image segmentation that can solve unknown medical image segmentation tasks without requiring additional training. -
Transfer learning with generative models for object detection on limited data...
The dataset used for object detection on limited datasets -
Speech enhancement generative adversarial network
Speech enhancement deep learning systems usually require large amounts of training data to operate in broad conditions or real applications. This makes the adaptability of those... -
Baby Physical Safety Monitoring in Smart Home Using Action Recognition System
A novel lightweight framework combining transfer learning techniques with a Conv2D LSTM layer to extract features from the pre-trained I3D model on the Kinetics dataset for a... -
AttentionHTR: Handwritten Text Recognition
This work proposes an attention-based sequence-to-sequence model for handwritten word recognition and explores transfer learning for data-efficient training of HTR systems. -
Cell2cell Dataset
The Cell2cell dataset is a standard telecom dataset used for churn prediction. It has 34 features and no missing values. -
Orange Dataset
The Orange dataset is a standard telecom dataset used for churn prediction. It has 18 features with missing values and 5 features have just a single value.