AIMC Topic: Semantics

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Deep learning recommendation algorithm based on semantic mining.

PloS one Sep 26, 2022
This paper proposes Deep Semantic Mining based Recommendation (DSMR), which can extract user features and item attribute features more accurately by deeply mining the semantic information of review text and item description documents recommend. First...
Algorithms Deep Learning Semantics
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A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-Based Semantic Scene Understanding Using Multi-Modal Sensor Fusion.

Sensors (Basel, Switzerland) Sep 25, 2022
Simultaneous Localisation and Mapping (SLAM) is one of the fundamental problems in autonomous mobile robots where a robot needs to reconstruct a previously unseen environment while simultaneously localising itself with respect to the map. In particul...
Algorithms Robotics Semantics
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A Novel Ground Metric for Optimal Transport-Based Chronological Age Estimation.

IEEE transactions on cybernetics Sep 19, 2022
Label distribution learning (LDL) is the state-of-the-art approach to dealing with a number of real-world applications, such as chronological age estimation from a face image, where there is an inherent similarity among adjacent age labels. LDL takes...
Neural Networks, Computer Algorithms Semantics
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Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation.

IEEE transactions on cybernetics Sep 19, 2022
Thanks to large-scale labeled training data, deep neural networks (DNNs) have obtained remarkable success in many vision and multimedia tasks. However, because of the presence of domain shift, the learned knowledge of the well-trained DNNs cannot be ...
Humans Neural Networks, Computer Emotions Semantics
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SOLO-SLAM: A Parallel Semantic SLAM Algorithm for Dynamic Scenes.

Sensors (Basel, Switzerland) Sep 15, 2022
Simultaneous localization and mapping (SLAM) is a core technology for mobile robots working in unknown environments. Most existing SLAM techniques can achieve good localization accuracy in static scenes, as they are designed based on the assumption t...
Algorithms Robotics Semantics
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COVID-19 Semantic Pneumonia Segmentation and Classification Using Artificial Intelligence.

Contrast media & molecular imaging Sep 15, 2022
Coronavirus 2019 (COVID-19) has become a pandemic. The seriousness of COVID-19 can be realized from the number of victims worldwide and large number of deaths. This paper presents an efficient deep semantic segmentation network (DeepLabv3Plus). Initi...
Humans Artificial Intelligence COVID-19 SARS-CoV-2 Deep Learning Pneumonia Semantics
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Learning Across Tasks for Zero-Shot Domain Adaptation From a Single Source Domain.

IEEE transactions on pattern analysis and machine intelligence Sep 14, 2022
Domain adaptation techniques learn transferable knowledge from a source domain to a target domain and train models that generalize well in the target domain. Unfortunately, a majority of the existing techniques are only applicable to scenarios that t...
Humans Machine Learning Algorithms Animals Semantics
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Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering.

IEEE transactions on pattern analysis and machine intelligence Sep 14, 2022
Unsupervised domain adaptation (UDA) is to learn classification models that make predictions for unlabeled data on a target domain, given labeled data on a source domain whose distribution diverges from the target one. Mainstream UDA methods strive t...
Machine Learning Algorithms Cluster Analysis Semantics
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Attack to Fool and Explain Deep Networks.

IEEE transactions on pattern analysis and machine intelligence Sep 14, 2022
Deep visual models are susceptible to adversarial perturbations to inputs. Although these signals are carefully crafted, they still appear noise-like patterns to humans. This observation has led to the argument that deep visual representation is misa...
Humans Neural Networks, Computer Algorithms Semantics
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GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing.

BMC bioinformatics Sep 13, 2022
BACKGROUND: The main focus of in silico drug repurposing, which is a promising area for using artificial intelligence in drug discovery, is the prediction of drug-disease relationships. Although many computational models have been proposed recently, ...
Artificial Intelligence Drug Discovery Drug Repositioning Semantics
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