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06/20/2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
Obtaining large pre-trained models that can be fine-tuned to new tasks w...
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05/10/2023
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods
Correlation matrix visualization is essential for understanding the rela...
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05/10/2023
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction
Monotone missing data is a common problem in data analysis. However, imp...
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04/24/2023
Adaptive-saturated RNN: Remember more with less instability
Orthogonal parameterization is a compelling solution to the vanishing gr...
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03/16/2023
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification
Transfer learning plays an essential role in Deep Learning, which can re...
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02/02/2023
Conditional expectation for missing data imputation
Missing data is common in datasets retrieved in various areas, such as m...
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01/11/2023
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval
Many models have been proposed for vision and language tasks, especially...
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12/30/2022
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world...
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12/04/2022
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
Collecting large-scale medical datasets with fully annotated samples for...
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05/29/2022
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Identifying the relevant variables for a classification model with corre...
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05/26/2022
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification
Fisher Discriminant Analysis (FDA) is one of the essential tools for fea...
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05/12/2022
TaDeR: A New Task Dependency Recommendation for Project Management Platform
Many startups and companies worldwide have been using project management...
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05/12/2022
FPSRS: A Fusion Approach for Paper Submission Recommendation System
Recommender systems have been increasingly popular in entertainment and ...
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05/12/2022
SimCPSR: Simple Contrastive Learning for Paper Submission Recommendation System
The recommendation system plays a vital role in many areas, especially a...
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05/12/2022
Fall detection using multimodal data
In recent years, the occurrence of falls has increased and has had detri...
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03/18/2022
An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices
Stress is a complex issue with wide-ranging physical and psychological i...
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10/21/2021
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Generative Adversarial Networks (GANs) have emerged as useful generative...
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08/04/2021
An Effective Leaf Recognition Using Convolutional Neural Networks Based Features
There is a warning light for the loss of plant habitats worldwide that e...
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07/26/2021
An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
Accurate insect pest recognition is significant to protect the crop or t...
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06/18/2021
SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs
In this paper, we propose SPBERT, a transformer-based language model pre...
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06/06/2021
DPER: Efficient Parameter Estimation for Randomly Missing Data
The missing data problem has been broadly studied in the last few decade...
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06/04/2021
A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
Conventional approaches to image-text retrieval mainly focus on indexing...
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04/04/2021
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
Existing skin attributes detection methods usually initialize with a pre...
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09/23/2020
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images
Until now, Coronavirus SARS-CoV-2 has caused more than 850,000 deaths an...
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02/21/2020
Aggregation of Multiple Knockoffs
We develop an extension of the Knockoff Inference procedure, introduced ...
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09/29/2016
