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IEEE transactions on circuits and systems for video technology, ISSN 1558-2205, 2019, Volume 29, Issue 6, pp. 1631 - 1644
Journal Article
Information processing & management, ISSN 0306-4573, 08/2019, p. 102096
Journal Article
Entropy, ISSN 1099-4300, 06/2016, Volume 18, Issue 6, pp. 204 - 204
Relation extraction has benefited from distant supervision in recent years with the development of natural language processing techniques and data explosion... 
Relation extraction | Distant supervision | Ranking | Multi-instance multi-label learning | ranking | multi-instance multi-label learning | PHYSICS, MULTIDISCIPLINARY | relation extraction | distant supervision | Learning | Training | Production methods | Strategy | Extraction | Knowledge base | Explosions | Optimization
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 01/2019, Volume 74, pp. 709 - 728
The mapping relations learning between instances and multiple labels should reflect the underlying joint probability distribution following by the data sets... 
Deep supervised autoencoder | Multi-label relations | Joint multi-label conditional posterior probability | Joint multi-label conditional posterior | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | probability | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Information Sciences, ISSN 0020-0255, 04/2017, Volume 385-386, pp. 325 - 337
With the development of social networking applications, microblog has turned to be an indispensable online communication network in our daily life. For... 
Microblog recommendation | User-tag weight | Tag retrieval | User–user social relation | User-tag matrix | Tag correlation | FEATURE-SELECTION | COMPUTER SCIENCE, INFORMATION SYSTEMS | CLASSIFICATION | User user social relation | MULTI-LABEL | Computer science | Social networks | Usage | Algorithms | Social aspects
Journal Article
Lecture Notes in Electrical Engineering, ISSN 1876-1100, 2015, Volume 330, pp. 251 - 256
Conference Proceeding
Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, ISSN 1003-6059, 10/2017, Volume 30, Issue 10, pp. 952 - 960
Journal Article
Ecological Modelling, ISSN 0304-3800, 06/2015, Volume 306, pp. 294 - 304
•We build four types of community structure models for three different ecosystems.•We explore how taxonomic rank and multi-species data influence model... 
Community structure modelling | Taxonomic rank | Hierarchical multi-label classification | Predictive clustering trees | Classification | REGRESSION TREES | RIVER WATER-QUALITY | ENSEMBLES | ECOLOGY | RULES | CHEMICAL-PARAMETERS | Construction | Communities | Organisms | Mathematical models | Community relations | Models | Modelling
Journal Article
IEEE Transactions on Services Computing, ISSN 1939-1374, 6/2017, pp. 1 - 1
While it is well understood that the Internet of things (IoT) offers the capability of integrating the physical world and the cyber world, it also presents... 
Support vector machines | Interaction behaviours | Semantics | Things Categorization | Multi-label classification | Hidden Markov models | Feature extraction | Latent variable model | Internet of Things | Intelligent sensors | Internet of things
Journal Article
2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC), 06/2019, pp. 106 - 111
Relations extraction is an important semantic analysis task in the field of natural language processing... 
Convolution | joint extraction | Sequence labeling | Semantics | Multi-label classification | end-to-end | Feature extraction | Decoding | Data mining | Labeling | Task analysis
Conference Proceeding
Proceedings of the 1st International Workshop on affect & sentiment in multimedia, 10/2015, pp. 33 - 38
...Prediction of User Ratings of Oral Presentationsusing Label Relations Toshihiko Yamasaki Yusuke Fukushima Ryosuke FurutaDept. Info. and Comm. Eng.Dept. Info... 
markov random field (MRF) | optimization | label relations | user ratings | late fusion | multi-label classification | oral presentations | User ratings | Oral presentations | Label relations | Multi-label classification late fusion | Markov random fiel (MRF) | Optimization
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 11055, pp. 403 - 413
Conference Proceeding
2017 9th International Conference on Knowledge and Smart Technology (KST), 02/2017, pp. 144 - 149
Conventional clustering algorithms based on the assumption that a data point can be assigned to only a single cluster. In spite of, there are several types of... 
Algorithm design and analysis | Overlapping Clustering | Multi-Label Data | Clustering methods | Multi-Category Data | K-Means | Clustering algorithms | Estimation | Linear programming | Partitioning algorithms | Clustering | Standards
Conference Proceeding
IEEE access, ISSN 2169-3536, 2017, Volume 5, pp. 21791 - 21805
Journal Article
International Journal of Pattern Recognition and Artificial Intelligence, ISSN 0218-0014, 03/2018, Volume 32, Issue 3, p. 1850005
.... In fact, they neglect inner relation mapping from example space to label space, which is an implicit way of modeling label relationships... 
Pattern Recognition | automatic labeling | active learning | image classification | mapping relation | sample noise | label correlation | Multi-label | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA), 10/2016, pp. 1 - 6
In graded multi-label classification (GMLC), each data can be assigned to multiple labels according to a degree of membership on an ordinal scale, and with respect to label relations... 
Fuzzy sets | Limiting | Measurement uncertainty | Web pages | Motion pictures | Loss measurement | Mercury (metals)
Conference Proceeding
Proceedings of the 5th ACM on international conference on multimedia retrieval, 06/2015, pp. 575 - 578
Current research of aesthetic assessment for images assumes one aesthetic score or one aesthetic label for an image, ignoring the relations of multiple aesthetic-related attributes... 
multi-label tasks | bayesian network | aesthetic assessment | Multi-label tasks | Bayesian Network | Aesthetic assessment
Conference Proceeding
2015 International Conference on 3D Vision, 10/2015, pp. 309 - 317
.... In this system, objects are described using global geometric relations of 3D features. We propose using the Joint SVM method for learning and we investigate the extraction... 
Support vector machines | 3D features | Histograms | Visualization | Three-dimensional displays | Feature extraction | Encoding | structured learning | Joints | object affordances | object categorization | multi-label learning | Learning | Conferences | Categories | Clusters | Gain | Visual | Three dimensional
Conference Proceeding
Studies in Computational Intelligence, ISSN 1860-949X, 2018, Volume 777, pp. 115 - 164
Journal Article
Journal of Cognitive Science, ISSN 1598-2327, 2015, Volume 16, Issue 3, p. 260
This paper reports on novel results for the automatic classification of semantic relations that hold between the constituents of nominal compounds in German... 
Compound Analysis | Multi-Label Classification | Classification of Semantic Relations | Support Vector Machines
Journal Article
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