Top PDF A Deep Learning-Based System for the MEDDOCAN Task
A Deep Learning-Based System for the MEDDOCAN Task
... is a prerequisite for accessing and sharing clinical records outside of ...with the efforts of i2b2 (the Center of Informatics for Integrating Biology and ...Bedside). The i2b2 ...
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Intelligent Dialogue System Based on Deep Learning Technology
... machine learning has contributed to the rebirth of the ...seen a rise in chat-bot technology being made available on the web and on mobile devices, and recent reports states that 57 % ...
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Multi-task Deep Learning based Environment and Mobility Detection for User Behavior Modeling
... investigate a multi-task based deep learning solution to simultaneously detect a user’s environment and mobility ...classification. The em- pirical evaluation based ...
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Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation
... and learning-based. The classical methods are usually generic statistical methods that can be applied to images from any satellite, without specific ...On the other hand, ...
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Multi-task cross-modality deep learning for pedestrian risk estimation
... in the majority of their high-end ...with a driver assistance package for pedestrian detection warning. The Mercedes system has connected stereo vision cameras with long, medium, and ...
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Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition
... than the visual images, the face recognition of the caricatures is far from the performance of the visual ...images. The challenge is the extreme non-rigid distortions of ...
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A Deep Learning Approach Based on CSP for EEG Analysis
... one for training and the other for evaluation, were recorded from each ...with a short acoustic stimulus and a fixation ...indicates the MI task. The arrow is ...
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A Learning-based Shared Control Architecture for Interactive Task Execution
... exploiting Learning from Demon- stration (LfD), which is a popular approach for transferring human skills to ...encode the demonstrated behavior as trajectory distributions and generalize ...
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A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams
... —In a world of global trading, maritime safety, secu- rity and efficiency are crucial ...propose a multi-task deep learning framework for vessel monitoring using Automatic ...
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LifeCLEF Bird Identification Task 2016: The arrival of Deep learning
... Abstract. The LifeCLEF bird identification challenge provides a large- scale testbed for the system-oriented evaluation of bird species identifi- cation based on audio ...that ...
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A Deep Learning Approach for Intrusion Detection System in Industry Network
... Detection System are capable of providing visibility and detection of any breach on the network, IDS can alarm in response to network security or endpoint security ...IDSs for ICT networks have ...
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Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds
... intended for novices as much as ex- ...of the top- performing networks, classic data augmentation schemes and validated performance ...on the development of core algorithms and test them on all ...
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Deep Learning Based Formation Control for the Multi-Agent Coordination
... important task in the fields of automatic control and robotics. The aim of this paper is to develop a deep learning based formation control strategy for the ...
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Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction
... Center for Biomedical Informatics Research, California ...Transfer learning (TL) proposes to enhance machine learning performance on a problem, by reusing labeled data originally designed ...
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Variance Based Samples Weighting for Supervised Deep Learning
... When a Machine Learning (ML) model is used to learn from data, the distribution of the training data set can have a strong impact on its ...in the context of Deep ...
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Deep learning for multimodal-based video interestingness prediction
... subject. The difficulty comes first from the fact that, besides being a high-level semantic concept, interestingness is highly subjective and its global definition has not been agreed ...presents ...
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Outdoor navigation for visually impaired based on Deep learning
... with the environment very quickly. In the second scenario, it is outdoors in crowded environments where many obstacles and objects are encountered such as people, cars, fences, and buildings, in this case, ...
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A machine learning filter for the slot filling task
... within the pipeline of an individual system and aim, in most cases, at a particular system or work best for particular ...describes a generic approach that can be easily ...
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Deep Learning-based Transmitter identification on the physical layer
... is the identification of a trans- mitter by a ...identify a trans- mitter at the physical layer gives context to the com- munication itself, but is also an important building ...
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When does deep multi-task learning work for loosely related document classification tasks?
... support based on patient records, but in this paper we focus on topic-level multi-way clas- ...use the 20 Newsgroups dataset, a corpus of newsgroup posts that are labeled by the topics of ...
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