Visually-Enabled Active Deep Learning for (Geo) Text and Image Classification: A Review
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Visually-Enabled Active Deep Learning for (Geo) Text and Image Classification: A Review
Authors
Keywords
-
Journal
ISPRS International Journal of Geo-Information
Volume 7, Issue 2, Pages 65
Publisher
MDPI AG
Online
2018-02-21
DOI
10.3390/ijgi7020065
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Batch-based active learning: Application to social media data for crisis management
- (2018) Daniela Pohl et al. EXPERT SYSTEMS WITH APPLICATIONS
- Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study
- (2018) Jurgen Bernard et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Do Convolutional Neural Networks Learn Class Hierarchy?
- (2018) Alsallakh Bilal et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow
- (2018) Kanit Wongsuphasawat et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings
- (2018) Clayton Miller et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- ANALYTiC: An Active Learning System for Trajectory Classification
- (2017) Amilcar Soares Junior et al. IEEE COMPUTER GRAPHICS AND APPLICATIONS
- Active Deep Learning for Classification of Hyperspectral Images
- (2017) Peng Liu et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Cost-Effective Active Learning for Deep Image Classification
- (2017) Keze Wang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis
- (2017) Dominik Sacha et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- A visual analytical approach for transfer learning in classification
- (2017) Yuxin Ma et al. INFORMATION SCIENCES
- What you see is what you can change: Human-centered machine learning by interactive visualization
- (2017) Dominik Sacha et al. NEUROCOMPUTING
- A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery
- (2017) Mesay Bejiga et al. Remote Sensing
- Exploring Representativeness and Informativeness for Active Learning
- (2017) Bo Du et al. IEEE Transactions on Cybernetics
- Power to the People: The Role of Humans in Interactive Machine Learning
- (2017) Saleema Amershi et al. AI MAGAZINE
- Evidence-based uncertainty sampling for active learning
- (2016) Manali Sharma et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Active learning: an empirical study of common baselines
- (2016) Maria E. Ramirez-Loaiza et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Deep learning for visual understanding: A review
- (2016) Yanming Guo et al. NEUROCOMPUTING
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
- A Tutorial on Multilabel Learning
- (2015) Eva Gibaja et al. ACM COMPUTING SURVEYS
- Computational Linguistics and Deep Learning
- (2015) Christopher D. Manning COMPUTATIONAL LINGUISTICS
- Deep Learning Based Feature Selection for Remote Sensing Scene Classification
- (2015) Qin Zou et al. IEEE Geoscience and Remote Sensing Letters
- Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study
- (2015) Guido Cervone et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Active learning via query synthesis and nearest neighbour search
- (2015) Liantao Wang et al. NEUROCOMPUTING
- Computational Linguistics and Deep Learning
- (2015) Christopher D. Manning computational linguistics
- The importance of the label hierarchy in hierarchical multi-label classification
- (2014) Jurica Levatić et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- The human is the loop: new directions for visual analytics
- (2014) Alex Endert et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
- (2014) Wei Bi et al. IEEE Transactions on Neural Networks and Learning Systems
- Active Learning in the Spatial Domain for Remote Sensing Image Classification
- (2013) Andre Stumpf et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Review on Multi-Label Learning Algorithms
- (2013) Min-Ling Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Active deep learning method for semi-supervised sentiment classification
- (2013) Shusen Zhou et al. NEUROCOMPUTING
- A few useful things to know about machine learning
- (2012) Pedro Domingos COMMUNICATIONS OF THE ACM
- Visual Classifier Training for Text Document Retrieval
- (2012) F. Heimerl et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- How much information is geospatially referenced? Networks and cognition
- (2012) Stefan Hahmann et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Active learning in multimedia annotation and retrieval
- (2012) Meng Wang et al. ACM Transactions on Intelligent Systems and Technology
- A Batch-Mode Active Learning Technique Based on Multiple Uncertainty for SVM Classifier
- (2011) Swarnajyoti Patra et al. IEEE Geoscience and Remote Sensing Letters
- A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification
- (2011) Devis Tuia et al. IEEE Journal of Selected Topics in Signal Processing
- Challenging problems of geospatial visual analytics
- (2011) Gennady Andrienko et al. JOURNAL OF VISUAL LANGUAGES AND COMPUTING
- Classifier chains for multi-label classification
- (2011) Jesse Read et al. MACHINE LEARNING
- An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
- (2011) Mikel Galar et al. PATTERN RECOGNITION
- A survey of hierarchical classification across different application domains
- (2010) Carlos N. Silla et al. DATA MINING AND KNOWLEDGE DISCOVERY
- A Fast Cluster-Assumption Based Active-Learning Technique for Classification of Remote Sensing Images
- (2010) Swarnajyoti Patra et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images
- (2010) Begüm Demir et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Semisupervised SVM batch mode active learning with applications to image retrieval
- (2009) Steven C. H. Hoi et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Active Learning Methods for Remote Sensing Image Classification
- (2009) D. Tuia et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A systematic analysis of performance measures for classification tasks
- (2009) Marina Sokolova et al. INFORMATION PROCESSING & MANAGEMENT
- The Automation of Science
- (2009) Ross D. King et al. SCIENCE
- An Active Learning Approach to Hyperspectral Data Classification
- (2008) S. Rajan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Decision trees for hierarchical multi-label classification
- (2008) Celine Vens et al. MACHINE LEARNING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started