On the public citation graph
Strategies for improving neural net generalisation
0 signed · 20 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4471-2082-7_15openalex-snapshot
Use of Neural Computing in Multiversion Software Reliability
inferredcites →https://doi.org/10.1016/0893-6080(95)00110-7openalex-snapshot
Network generalization differences quantified
inferredcites →https://doi.org/10.1109/32.58771openalex-snapshot
Conceptual modeling of coincident failures in multiversion software
inferredcites →https://doi.org/10.1109/72.363472openalex-snapshot
Generalization and PAC learning: some new results for the class of generalized single-layer networks
inferredcites →https://doi.org/10.1111/j.1468-0394.1994.tb00323.xopenalex-snapshot
Neural computing for software reliability*
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-45014-9_24openalex-snapshot
Self-Organizing Decomposition of Functions
inferred← citeshttps://doi.org/10.1007/3-540-45428-4_13openalex-snapshot
New Measure of Classifier Dependency in Multiple Classifier Systems
inferred← citeshttps://doi.org/10.1007/3-540-45428-4_9openalex-snapshot
Multistage Neural Network Ensembles
inferred← citeshttps://doi.org/10.1007/3-540-48219-9_40openalex-snapshot
Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting
inferred← citeshttps://doi.org/10.1007/978-1-4613-0231-5_25openalex-snapshot
Set Analysis of Coincident Errors and Its Applications for Combining Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-540-38233-1_3openalex-snapshot
Neural Networks in Multiple Classifier Systems for Remote-Sensing Image Classification
inferred← citeshttps://doi.org/10.1007/978-3-540-45240-9_7openalex-snapshot
Multistage Neural Networks: Adaptive Combination of Ensemble Results
inferred← citeshttps://doi.org/10.1007/bf00974752openalex-snapshot
On the difficulty of really considering a radical novelty
inferred← citeshttps://doi.org/10.1007/bf01413747openalex-snapshot
Use of methodological diversity to improve neural network generalisation
inferred← citeshttps://doi.org/10.1007/s100440200030openalex-snapshot
A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems
inferred← citeshttps://doi.org/10.1017/s0269888997003123openalex-snapshot
Combining diverse neural nets
inferred← citeshttps://doi.org/10.1109/access.2023.3326725openalex-snapshot
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets
inferred← citeshttps://doi.org/10.1109/cimsim.2010.75openalex-snapshot
Improving Generalization of Neural Networks Using MLP Discriminant Based on Multiple Classifiers Failures
inferred← citeshttps://doi.org/10.5120/16679-6784openalex-snapshot
A Survey on Ensemble Combination Schemes of Neural Network
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.