Robuta

https://deepai.org/publication/domain-adaptive-multiple-instance-learning-for-instance-level-prediction-of-pathological-images Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images |... Apr 7, 2023 - 04/07/23 - Pathological image analysis is an important process for detecting abnormalities such as cancer from cell images. However, since th... multiple instance learningfor leveldomainadaptive https://arxiv.org/html/2406.15303v3 AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image... multiple instance learningentropy maximization https://www.amazon.science/publications/inherently-interpretable-time-series-classification-via-multiple-instance-learning Inherently interpretable time series classification via multiple instance learning - Amazon Science Conventional Time Series Classification (TSC) methods are often black boxes that obscure inherent interpretation of their decision-making processes. In this... multiple instance learningtime seriesclassification https://aclanthology.org/Q18-1002/ Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis - ACL Anthology Stefanos Angelidis, Mirella Lapata. Transactions of the Association for Computational Linguistics, Volume 6. 2018. multiple instance learningfine grainedsentiment analysisnetworks https://openreview.net/forum?id=GfNyqrwECJ Incorporating probabilistic domain knowledge into deep multiple instance learning | OpenReview Deep learning methods, including deep multiple instance learning methods, have been criticized for their limited ability to incorporate domain knowledge. A... multiple instance learningdomain knowledgeincorporatingprobabilisticdeep https://aclanthology.org/D14-1052/ Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis - ACL... Nikolaos Pappas, Andrei Popescu-Belis. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014. multiple instance learning https://openreview.net/forum?id=LKUfuWxajHc TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image... We proposed a correlated MIL framework and devised a Transformer based MIL to the weakly supervised classification of whole slide images. multiple instance learningtransformerbasedcorrelated https://openreview.net/forum?id=Y1fPxGevQj xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology | OpenReview Multiple instance learning (MIL) is an effective and widely used approach for weakly supervised machine learning. In histopathology, MIL models have achieved... multiple instance learninginsightfulexplanationshistopathologyopenreview https://deepai.org/publication/dtfd-mil-double-tier-feature-distillation-multiple-instance-learning-for-histopathology-whole-slide-image-classification DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole... Mar 22, 2022 - 03/22/22 - Multiple instance learning (MIL) has been increasingly used in the classification of histopathology whole slide images (WSIs). How... multiple instance learning https://deepai.org/publication/multiple-instance-learning-for-ecg-risk-stratification Multiple Instance Learning for ECG Risk Stratification | DeepAI Dec 2, 2018 - 12/02/18 - In this paper, we apply a multiple instance learning paradigm to signal-based risk stratification for cardiovascular outcomes. In ... multiple instance learningrisk stratificationecgdeepai https://openreview.net/forum?id=nmFczdJtc2 Attribute Prediction as Multiple Instance Learning | OpenReview Attribute-based representations help machine learning models perform tasks based on human understandable concepts, allowing a closer human-machine... multiple instance learningattribute predictionopenreview https://openreview.net/forum?id=NpHKh4YlQ0D Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in... An interpretable deep multiple instance learning architecture shows competitive caries classification and localization performance on a large-scale bitewing... multiple instance learning https://openreview.net/forum?id=SkW2m-3oM&referrer=%5Bthe%20profile%20of%20Veronica%20Vilaplana%5D(%2Fprofile%3Fid%3D~Veronica_Vilaplana1) Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification |... In this paper we propose a patch sampling strategy based on sequential Monte-Carlo methods for Whole Slide Image classification in the context of Multiple... monte carlo samplingmultiple instance learning https://deepai.org/publication/an-application-of-multiple-instance-learning-to-estimate-generalization-risk An Application of Multiple-Instance Learning to Estimate Generalization Risk | DeepAI Nov 14, 2019 - 11/14/19 - We focus on several learning approaches that employ max-operator to evaluate the margin. For example, such approaches are commonly... multiple instance learningapplication https://deepai.org/publication/multiple-instance-learning-by-boosting-infinitely-many-shapelet-based-classifiers Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers | DeepAI Nov 20, 2018 - 11/20/18 - We propose a new formulation of Multiple-Instance Learning (MIL). In typical MIL settings, a unit of data is given as a set of ins... multiple instance learningboosting https://openreview.net/forum?id=cUcvlgkQxP&referrer=%5BAuthor%20Console%5D%28%2Fgroup%3Fid%3DNeurIPS.cc%2F2024%2FConference%2FAuthors%23your-submissions%29 Are Multiple Instance Learning Algorithms Learnable for Instances? | OpenReview Multiple Instance Learning (MIL) has been increasingly adopted to mitigate the high costs and complexity associated with labeling individual instances,... multiple instance learningalgorithmsinstancesopenreview