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A review of unsupervised feature learning and deep learning for time-series modeling

Pattern recognition letters, 2014-06, Vol.42 (1), p.11-24

2014

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Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2016-04, Vol.8 (4), p.329

2016

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An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring

Sensors (Basel, Switzerland), 2017-11, Vol.17 (11), p.2545

2017

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Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks

Computers in biology and medicine, 2018-06, Vol.97, p.153-160

2018

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Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation

Open Journal Of Semantic Web, 2019-01, Vol.10 (5), p.863-880

2019

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Deep learning based automated estimation of urban green space index from satellite image: A case study

Urban forestry & urban greening, 2024-07, Vol.97, p.128373, Article 128373

2024

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An Analysis of Fast Learning Methods for Classifying Forest Cover Types

Applied artificial intelligence, 2020-08, Vol.34 (10), p.691-709

2020

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Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation

Applied computing and geosciences, 2024-03, Vol.21, p.100153, Article 100153

2024

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Fast classification of meat spoilage markers using nanostructured ZnO thin films and unsupervised feature learning

Sensors (Basel, Switzerland), 2013-01, Vol.13 (2), p.1578-1592

2013

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Learning feature representations with a cost-relevant sparse autoencoder

International journal of neural systems, 2015-02, Vol.25 (1), p.1450034

2015

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Utilization of Computer Classification Methods for Exposure Prediction and Gene Selection in Daphnia magna Toxicogenomics

Biology (Basel, Switzerland), 2023-05, Vol.12 (5), p.692

2023

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Learning Actions to Improve the Perceptual Anchoring of Objects

Frontiers in robotics and AI, 2017-01, Vol.3

2017

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Sleep Stage Classification Using Unsupervised Feature Learning

Advances in artificial neural systems, 2012, Vol.2012 (2012), p.1-9

2012

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Learning Actions to Improve the Perceptual Anchoring of Object

Frontiers in robotics and AI, 2017, Vol.3 (76)

2017

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An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process

2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2023, p.353-360

2023

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Empirical analysis of the convergence of Double DQN in relation to reward sparsity

2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022, p.591-596

2022

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Deep Learning based Aerial Image Segmentation for Computing Green Area Factor

2022 10th European Workshop on Visual Information Processing (EUVIP), 2022, p.1-6

2022

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Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning

Sensors (Basel, Switzerland), 2013-01, Vol.13 (2), p.1578-1592

2013

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AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries

SSRN Electronic Journal, 2024

2024

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Cluster-Based Parallel Testing Using Semantic Analysis

2020 IEEE International Conference On Artificial Intelligence Testing (AITest), 2020, p.99-106

2020

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Affordance-Based Goal Imagination for Embodied AI Agents

2024 IEEE International Conference on Development and Learning (ICDL), 2024, p.1-6

2024

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A review of unsupervised feature learning and deep learning for time-series modeling

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring

Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks

Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation

Deep learning based automated estimation of urban green space index from satellite image: A case study

An Analysis of Fast Learning Methods for Classifying Forest Cover Types

Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation

Fast classification of meat spoilage markers using nanostructured ZnO thin films and unsupervised feature learning

Learning feature representations with a cost-relevant sparse autoencoder

Utilization of Computer Classification Methods for Exposure Prediction and Gene Selection in Daphnia magna Toxicogenomics

Learning Actions to Improve the Perceptual Anchoring of Objects

Sleep Stage Classification Using Unsupervised Feature Learning

Learning Actions to Improve the Perceptual Anchoring of Object

An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process

Empirical analysis of the convergence of Double DQN in relation to reward sparsity

Deep Learning based Aerial Image Segmentation for Computing Green Area Factor

Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning

AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries

Cluster-Based Parallel Testing Using Semantic Analysis

Affordance-Based Goal Imagination for Embodied AI Agents

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