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Data and Samples
Think about a time when you heard someone talking in a different language. Maybe you listened to the voice tones or the volume or the flow of words....
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Energy-Based Policy Constraint for Offline Reinforcement Learning
Offline RL suffers from the distribution shift problem. One way to address this issue is to constrain the divergence between the target policy and...
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Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networks
Convolutional neural newtorks have been presenting great results regarding image classification in different contexts. As known in the literature,...
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Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease
Niemann-Pick Class 1 (NPC1) disease is a rare and neurodegenerative disease, and often metabolomics datasets of NPC1 patients are limited in the...
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Deep CNN Based Alzheimer Analysis in MRI Using Clinical Dementia Rating
Globally, Neurological disorders are a major health concern affecting a population of billions worldwide. There’s a need for accurate and timely...
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Web Scams Detection System
Web-based scams rely on scam websites to provide fraudulent business or fake services to steal money and sensitive information from unsuspecting...
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Assessing the Effect of Text Type on the Choice of Linguistic Mechanisms in Scientific Publications
In this paper, we report a qualitative and quantitative evaluation of a hand-crafted set of discourse features and their interaction with different...
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Deep Metric Learning with Music Data
Music Information Retrieval has often relied on supervised learning with handpicked features. These supervised models are often trained with a fixed...
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Knowledge Compensation Network with Divisible Feature Learning for Unsupervised Domain Adaptive Person Re-identification
Due to the large domain shift and the discriminative feature learning with unlabeled datasets, unsupervised domain adaptation (UDA) for person...
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One Step Large-Scale Multi-view Subspace Clustering Based on Orthogonal Matrix Factorization with Consensus Graph Learning
Multi-view clustering has always been a widely concerned issue due to its wide range of applications. Since real-world datasets are usually very...
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GCK-Maps: A Scene Unbiased Representation for Efficient Human Action Recognition
Human action recognition from visual data is a popular topic in Computer Vision, applied in a wide range of domains. State-of-the-art solutions often...
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Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
Deep learning-based medical image segmentation usually requires abundant high-quality labeled data from experts, yet, it is often infeasible in...
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HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai
The rapid advancement of internet technology, widespread smartphone usage, and the rise of social media platforms have drastically transformed the...
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Incremental Learning and Ambiguity Rejection for Document Classification
Along with the innovation and development of society, millions of documents are generated daily, and new types of documents related to new activities...
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Class Prediction with Microarray Datasets
Microarray technology is having a significant impact in the biological and medical sciences and class prediction will play an increasingly important...
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A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation
Graph embedding based on deep learning is an effective approach for link prediction. However, there still remain some unsolved problems. Firstly,...
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Justification and Hypothesis Selection in Data Mining
Data mining is an instance of the inductive methodology. Many philosophical considerations for induction can also be carried out for data mining. In...
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Performance Analysis of Machine Learning Algorithm on Cloud Platforms: AWS vs Azure vs GCP
The significance of adopting cloud technology in enterprises is accelerating and becoming ubiquitous in business and industry. Due to migrating the...
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Towards Representation of Daily Living Activities by Reusing ICF Categories
The study of commonsense reasoning and robotic agents in home environments is trending considering artificial intelligence. Handling the contexts of...
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Context-Dependent Computations in Spiking Neural Networks with Apical Modulation
Neocortical pyramidal neurons integrate two distinct streams of information. Bottom-up information arrives at their basal dendrites, and resulting...