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TOWARDS END-TO-END SEMI-SUPERVISED DEEP LEARNING FOR DRUG DISCOVERY
(2018-11-26)
Observing the recent progress in Deep Learning, the employment of AI is surging to accelerate drug discovery and cut R&D costs in the last few years. However, the success of deep learning is attributed to large-scale clean ...
HAND ANALYSIS FROM DEPTH IMAGES
(2022-08-23)
Hand analysis using vision systems is necessary for interaction between people and digital devices and thus is crucial in many applications relating to computer vision and human computer interaction (HCI). The proposed ...
Machine Learning-based Methods for the Segmentation of Scanning Electron Microscopy Images of Fine-Grained Shale Samples
(2022-12-15)
The segmentation of scanning electron microscopy (SEM) images is critical yet time-consuming for geological studies, as it will need to differentiate the boundaries for different mineral objects to facilitate subsequent ...
SEMI-SUPERVISED DEEP LEARNING WITH APPLICATIONS IN SURGICAL VIDEO ANALYSIS AND BIOINFORMATICS
(2020-05-14)
In the current era of big data, deep learning has been the state-of-the-art model for various applications. Image-based applications such as image classification, object detection, image segmentation, benefit most from ...
Semi-supervised Learning using Triple-Siamese Network
(2020-06-04)
Missing data problem is inevitable in mostly all research areas including Artificial Intelligence, Machine Learning and Computer Vision where we have modicum knowledge about the complete dataset. One of the key reasons of ...
DEEP LEARNING FOR MOLECULAR PROPERTY PREDICTION
(2023-08-14)
Drug discovery has always been a crucial task for society, and molecular property prediction is one of the fundamental problem. It is responsible for identifying the target properties or severe side-effects, so that certain ...