International Joint Conference on Neural Networks
E355642
annual conference
artificial intelligence conference
computer science conference
neural networks conference
scientific conference
The International Joint Conference on Neural Networks is a leading annual scientific conference that brings together researchers and practitioners to present and discuss advances in neural networks and related fields of artificial intelligence.
All labels observed (3)
| Label | Occurrences |
|---|---|
| International Joint Conference on Neural Networks canonical | 3 |
| IEEE International Conference on Neural Networks | 1 |
| IJCNN | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3414655 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: International Joint Conference on Neural Networks Context triple: [IEEE Computational Intelligence Society, sponsorsConference, International Joint Conference on Neural Networks]
-
A.
NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
-
B.
Neural Computation
Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
-
C.
ICML
ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.
-
D.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
-
E.
IEEE Computational Intelligence Society
The IEEE Computational Intelligence Society is a professional society of the IEEE that focuses on advancing the theory, design, application, and education of computational intelligence technologies such as neural networks, fuzzy systems, and evolutionary computation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: International Joint Conference on Neural Networks Target entity description: The International Joint Conference on Neural Networks is a leading annual scientific conference that brings together researchers and practitioners to present and discuss advances in neural networks and related fields of artificial intelligence.
-
A.
NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
-
B.
Neural Computation
Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
-
C.
ICML
ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.
-
D.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
-
E.
IEEE Computational Intelligence Society
The IEEE Computational Intelligence Society is a professional society of the IEEE that focuses on advancing the theory, design, application, and education of computational intelligence technologies such as neural networks, fuzzy systems, and evolutionary computation.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
annual conference
ⓘ
artificial intelligence conference ⓘ computer science conference ⓘ neural networks conference ⓘ scientific conference ⓘ |
| abbreviation | IJCNN ⓘ |
| audience |
practitioners
ⓘ
researchers ⓘ students ⓘ |
| field |
artificial intelligence
ⓘ
computational neuroscience ⓘ data mining ⓘ machine learning ⓘ neural networks ⓘ pattern recognition ⓘ signal processing ⓘ |
| focus |
advances in neural network applications
ⓘ
advances in neural network theory ⓘ |
| frequency | annual ⓘ |
| hasFormat | peer-reviewed conference ⓘ |
| hasProceedings | IEEE conference proceedings ⓘ |
| includes |
keynote talks
ⓘ
oral presentations ⓘ poster sessions ⓘ special sessions ⓘ tutorials ⓘ workshops ⓘ |
| indexing |
IEEE Xplore
ⓘ
linked to:
IEEE Xplore Digital Library
Scopus ⓘ Web of Science ⓘ |
| location | various international venues ⓘ |
| organizedBy |
IEEE Computational Intelligence Society
ⓘ
International Neural Network Society ⓘ |
| scope | international ⓘ |
| sponsoredBy |
IEEE
ⓘ
INNS ⓘ |
| startTime | late 1980s ⓘ |
| topic |
applications of neural networks
ⓘ
bio-inspired computation ⓘ cognitive computing ⓘ computer vision ⓘ control systems ⓘ deep learning ⓘ hardware implementations of neural networks ⓘ learning algorithms ⓘ optimization methods for neural networks ⓘ robotics applications ⓘ speech recognition ⓘ theory of neural networks ⓘ time series prediction ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: International Joint Conference on Neural Networks Description of subject: The International Joint Conference on Neural Networks is a leading annual scientific conference that brings together researchers and practitioners to present and discuss advances in neural networks and related fields of artificial intelligence.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
IEEE Computational Intelligence Society
→
sponsorsConference
→
International Joint Conference on Neural Networks
ⓘ
IEEE World Congress on Computational Intelligence
→
includesConference
→
International Joint Conference on Neural Networks
ⓘ
linked to: International Joint Conference on Neural Networks
IEEE International Conference on Fuzzy Systems
→
relatedTo
→
IEEE International Conference on Neural Networks
ⓘ
linked to: International Joint Conference on Neural Networks
International Neural Network Society
→
hasMainConference
→
International Joint Conference on Neural Networks
ⓘ