IEEE Transactions on Neural Networks and Learning Systems
E355637
IEEE Transactions on Neural Networks and Learning Systems is a leading peer-reviewed scientific journal focusing on the theory, design, and applications of neural networks and machine learning.
All labels observed (3)
| Label | Occurrences |
|---|---|
| IEEE Trans. Neural Netw. Learn. Syst. | 1 |
| IEEE Transactions on Neural Networks | 1 |
| IEEE Transactions on Neural Networks and Learning Systems canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3414650 — 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: IEEE Transactions on Neural Networks and Learning Systems Context triple: [IEEE Computational Intelligence Society, publishes, IEEE Transactions on Neural Networks and Learning Systems]
-
A.
Neural Computation
Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
-
B.
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
-
C.
Proceedings of the IEEE
Proceedings of the IEEE is a leading peer-reviewed journal that publishes comprehensive review, survey, and tutorial articles covering advances across the full spectrum of electrical engineering and computer science.
-
D.
NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
-
E.
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems is a peer-reviewed scientific journal focusing on the theory, design, and applications of control and dynamical systems operating over networks and interconnected infrastructures.
- 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: IEEE Transactions on Neural Networks and Learning Systems Target entity description: IEEE Transactions on Neural Networks and Learning Systems is a leading peer-reviewed scientific journal focusing on the theory, design, and applications of neural networks and machine learning.
-
A.
Neural Computation
Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
-
B.
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
-
C.
Proceedings of the IEEE
Proceedings of the IEEE is a leading peer-reviewed journal that publishes comprehensive review, survey, and tutorial articles covering advances across the full spectrum of electrical engineering and computer science.
-
D.
NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
-
E.
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems is a peer-reviewed scientific journal focusing on the theory, design, and applications of control and dynamical systems operating over networks and interconnected infrastructures.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
peer-reviewed journal ⓘ scientific journal ⓘ |
| countryOfPublication |
United States of America
ⓘ
surface form:
United States
|
| discipline |
computational intelligence
ⓘ
computer science ⓘ pattern recognition ⓘ signal processing ⓘ |
| field |
artificial intelligence
ⓘ
machine learning ⓘ neural networks ⓘ |
| focusesOn |
adaptive learning systems
ⓘ
applications of neural networks ⓘ cognitive and brain-inspired computing ⓘ deep learning ⓘ design of neural networks ⓘ learning systems ⓘ neurodynamic systems ⓘ optimization methods for learning ⓘ pattern classification ⓘ reinforcement learning ⓘ theory of neural networks ⓘ time-series prediction ⓘ |
| formerName |
IEEE Transactions on Neural Networks and Learning Systems
self-linksurface differs
ⓘ
surface form:
IEEE Transactions on Neural Networks
|
| hasAbbreviation |
IEEE Transactions on Neural Networks and Learning Systems
self-linksurface differs
ⓘ
surface form:
IEEE Trans. Neural Netw. Learn. Syst.
|
| hasWebsite | https://cis.ieee.org/publications/t-neural-networks-and-learning-systems ⓘ |
| isIndexedIn |
Ei Compendex
ⓘ
surface form:
EI Compendex
INSPEC ⓘ
surface form:
Inspec
Science Citation Index ⓘ Scopus ⓘ |
| isPeerReviewed | true ⓘ |
| language | English ⓘ |
| medium |
online
ⓘ
print ⓘ |
| publishedBy | IEEE Computational Intelligence Society ⓘ |
| publisher |
Institute of Electrical and Electronics Engineers
ⓘ
surface form:
IEEE
Institute of Electrical and Electronics Engineers ⓘ |
| publishes |
letters
ⓘ
original research articles ⓘ review articles ⓘ technical correspondence ⓘ |
| subjectArea |
data science
ⓘ
engineering ⓘ information technology ⓘ |
| targetAudience |
academics
ⓘ
engineers ⓘ practitioners in machine learning ⓘ researchers ⓘ |
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: IEEE Transactions on Neural Networks and Learning Systems Description of subject: IEEE Transactions on Neural Networks and Learning Systems is a leading peer-reviewed scientific journal focusing on the theory, design, and applications of neural networks and machine learning.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
IEEE Computational Intelligence Society
→
publishes
→
IEEE Transactions on Neural Networks and Learning Systems
ⓘ
IEEE Transactions on Neural Networks and Learning Systems
→
hasAbbreviation
→
IEEE Transactions on Neural Networks and Learning Systems
self-linksurface differs
ⓘ
this entity surface form:
IEEE Trans. Neural Netw. Learn. Syst.
IEEE Transactions on Neural Networks and Learning Systems
→
formerName
→
IEEE Transactions on Neural Networks and Learning Systems
self-linksurface differs
ⓘ
this entity surface form:
IEEE Transactions on Neural Networks