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■ Abbreviation / Long Form : MIL / multiple instance learning

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Total Number of Papers: 65
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Abbreviation:   MIL  (>> Co-occurring Abbreviation)
Long Form:   multiple instance learning
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No. Year Title Co-occurring Abbreviation
2019 A Lagrangian Relaxation Approach for Binary Multiple Instance Classification. BCD
2019 Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems. AL, MIAL
2019 Early Expression Detection via Online Multi-Instance Learning With Nonlinear Extension. EED, MIED, MMED, OMIED
2019 Learning to Detect Blue-White Structures in Dermoscopy Images With Weak Supervision. BWS
2019 Mixed Supervised Object Detection with Robust Objectness Transfer. MSD, WSD
2019 Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. ---
2018 Automatic emphysema detection using weakly labeled HRCT lung images. COPD, DLCO, HRCT, PFTs
2018 Convex formulation of multiple instance learning from positive and unlabeled bags. ---
2018 Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis. EMC, MUP
10  2018 Extracting Privileged Information for Enhancing Classifier Learning. PI
11  2018 Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning. CAD, DBT, DCNN
12  2018 Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis. MI-DOR, MI-DORF
13  2018 PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. WSOD
14  2018 Pornographic Image Recognition via Weighted Multiple Instance Learning. ---
15  2018 SyMIL: MinMax Latent SVM for Weakly Labeled Data. ---
16  2018 Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding. CNN, WSCNN
17  2017 A Sphere-Description-Based Approach for Multiple-Instance Learning. SDB-MIL
18  2017 Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework. SPL
19  2017 Computational modeling of in vivo and in vitro protein-DNA interactions by multiple instance learning. TF
20  2017 Constrained Deep Weak Supervision for Histopathology Image Segmentation. DWS, FCNs
21  2017 Friend or Foe: Fine-Grained Categorization With Weak Supervision. ---
22  2017 Learning Multi-Instance Deep Discriminative Patterns for Image Classification. ---
23  2017 Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks. ---
24  2017 Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction. MI, MIMTL
25  2017 Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning. ---
26  2017 Multiple-Instance Learning for Medical Image and Video Analysis. MIVA, SIL
27  2017 Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL). CAMIL, LSH, MGWAS
28  2017 Salient Object Detection via Multiple Instance Learning. ---
29  2017 Scalable Algorithms for Multi-Instance Learning. miFV, miVLAD
30  2017 Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification. RVM
31  2017 Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization. PI, WSDG
32  2016 Classifying and segmenting microscopy images with deep multiple instance learning. CNNs, HCS
33  2016 Co-Labeling for Multi-View Weakly Labeled Learning. ROD, SSL
34  2016 Genome-Wide Functional Annotation of Human Protein-Coding Splice Variants Using Multiple Instance Learning. PCSVs, SVM
35  2016 Heart beat characterization from ballistocardiogram signals using extended functions of multiple instances. BCG, eFUMI
36  2016 Multiple-Instance Learning for Anomaly Detection in Digital Mammography. ---
37  2016 On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis. AL, CAD, TB
38  2016 Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model. IRR, IRRB, IRSB
39  2015 A novel multiple instance learning method based on extreme learning machine. ELM, SLFN
40  2015 A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest X-rays. CAD
41  2015 Boosting for multi-graph classification. bMGC, MGC
42  2015 Dealing with heterogeneous classification problem in the framework of multi-instance learning. maxc-LS-SVM
43  2015 Multiple-instance learning for breast cancer detection in mammograms. ---
44  2014 A similarity-based classification framework for multiple-instance learning. SMILE
45  2014 Classification and Weakly Supervised Pain Localization using Multiple Segment Representation. AFER, BoW
46  2014 Image annotation by multiple-instance learning with discriminative feature mapping and selection. ---
47  2014 Multiple instance learning for classification of dementia in brain MRI. AD, MCI
48  2014 Weakly supervised histopathology cancer image segmentation and classification. MCIL
49  2013 A novel multiinstance learning approach for liver cancer recognition on abdominal CT images based on CPSO-SVM and IO. IO
50  2013 Drug activity prediction using multiple-instance learning via joint instance and feature selection. ---
51  2013 mi-DS: Multiple-Instance Learning Algorithm. ---
52  2013 Real-time object tracking via online discriminative feature selection. ---
53  2012 ---
54  2012 Breast ultrasound image classification based on multiple-instance learning. BUS, ROIs
55  2012 Detecting Parkinsons' symptoms in uncontrolled home environments: a multiple instance learning approach. APR, PD
56  2012 Early illness recognition using in-home monitoring sensors and multiple instance learning. AROC
57  2012 ECG analysis using multiple instance learning for myocardial infarction detection. ---
58  2012 Seeing is believing: video classification for computed tomographic colonography using multiple-instance learning. CAD, CTC
59  2011 MILIS: multiple instance learning with instance selection. ---
60  2011 Robust Object Tracking with Online Multiple Instance Learning. ---
61  2010 Boosting instance prototypes to detect local dermoscopic features. DD, EC, ELM, SIL, SVMs
62  2010 Human action recognition in videos using kinematic features and multiple instance learning. PCA
63  2008 Kernels for generalized multiple-instance learning. FPRAS
64  2008 Multiple-instance learning algorithms for computer-aided detection. CAD
65  2006 MILES: multiple-instance learning via embedded instance selection. ---