Multiple Instance Learning via Semi-supervised Laplacian TSVM
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9579-5
Abstract: Multiple instance learning attempts to learn from a training set consists of labeled bags each containing many unlabeled instances. In previous works, most existing algorithms mainly pay attention to the ‘most positive’ instance in each… read more here.
Keywords: instance learning; semi supervised; multiple instance; via semi ... See more keywords
Deep multiple instance selection
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DOI: 10.1007/s11432-020-3117-3
Abstract: Multiple instance learning (MIL) assigns a single class label to a bag of instances tailored for some real-world applications such as drug activity prediction. Classical MIL methods focus on figuring out interested instances, that is,… read more here.
Keywords: selection deep; multiple instance; selection; instance selection ... See more keywords
Multiple instance learning for sequence data with across bag dependencies
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-01021-5
Abstract: In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences. In some real world applications such as bioinformatics, comparing a random couple of sequences makes no sense. In fact,… read more here.
Keywords: instance learning; multiple instance; sequence data; across bag ... See more keywords
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104253
Abstract: Large numbers of histopathological images have been digitized into high resolution whole slide images, opening opportunities in developing computational image analysis tools to reduce pathologists' workload and potentially improve inter- and intra-observer agreement. Most previous… read more here.
Keywords: image; multiple instance; histopathology; multi resolution ... See more keywords
Deep Feature Fusion Multiple Instance Learning for WaDang Recognition
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DOI: 10.1109/access.2019.2929837
Abstract: WaDang recognition can provide valuable information for digital protection of cultural relics. However, WaDang recognition is challenging due to a great number of variations, such as different characters, different background pattern, and different scale and… read more here.
Keywords: multiple instance; deep feature; instance learning; recognition ... See more keywords
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3267095
Abstract: Data-driven approaches for remote detection of Parkinson's Disease and its motor symptoms have proliferated in recent years, owing to the potential clinical benefits of early diagnosis. The holy grail of such approaches is the free-living… read more here.
Keywords: multiple instance; detection; instance learning; instance ... See more keywords
MILAMP: Multiple Instance Prediction of Amyloid Proteins
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DOI: 10.1109/tcbb.2019.2936846
Abstract: Amyloid proteins are implicated in several diseases such as Parkinson's, Alzheimer's, prion diseases, etc. In order to characterize the amyloidogenicity of a given protein, it is important to locate the amyloid forming hotspot regions within… read more here.
Keywords: instance prediction; milamp multiple; amyloid proteins; multiple instance ... See more keywords
Ensemble Learning With Attention-Based Multiple Instance Pooling for Classification of SPT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3124165
Abstract: Tuberculosis is one of the most common infections in the human population, while reactivation of the MTB bacteria can lead to secondary pulmonary tuberculosis (SPT). SPT is a significant health risk for both immunocompromised individuals… read more here.
Keywords: attention based; spt; ensemble learning; multiple instance ... See more keywords
Deep Multiple Instance Convolutional Neural Networks for Learning Robust Scene Representations
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2960889
Abstract: The accuracy and efficiency of scene classification have immensely improved with the extensive application of deep convolutional neural networks (CNNs). However, standard CNNs classify images mostly based on the global features from the last fully… read more here.
Keywords: learning robust; multiple instance; neural networks; instance ... See more keywords
Multitarget Multiple-Instance Learning for Hyperspectral Target Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3060966
Abstract: In remote sensing, it is often challenging to acquire or collect a large data set that is accurately labeled. This difficulty is usually due to several issues, including but not limited to the study site’s… read more here.
Keywords: multiple instance; multitarget multiple; target; data set ... See more keywords
Multiple Instance Graph Learning for Weakly Supervised Remote Sensing Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3123231
Abstract: Weakly supervised object detection (WSOD) has recently attracted much attention in the field of remote sensing, where only image-level labels that distinguish the existence of an object in images are required. However, existing methods frequently… read more here.
Keywords: remote sensing; multiple instance; weakly supervised; graph ... See more keywords