On the public citation graph

Comparative Analysis on Prediction of Software Effort Estimation Using Machine Learning Techniques

0 signed · 13 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/eng2.70687openalex-snapshot
A Review on Explainable, Federated Multimodal AI for Heart Disease Detection Using ECG , Cardiac Imaging, and Electronic Health Records
inferred← citeshttps://doi.org/10.1002/smr.2611openalex-snapshot
Incorporating statistical and machine learning techniques into the optimization of correction factors for software development effort estimation
inferred← citeshttps://doi.org/10.1007/978-981-19-7892-0_16openalex-snapshot
Earlier Heart Disease Prediction System Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-4241-0_3openalex-snapshot
Introduction to Deep Learning for Disease Prediction
inferred← citeshttps://doi.org/10.1007/s41870-021-00669-zopenalex-snapshot
A predictive model to estimate effort in a sprint using machine learning techniques
inferred← citeshttps://doi.org/10.1109/access.2024.3404879openalex-snapshot
Review and Empirical Analysis of Machine Learning-Based Software Effort Estimation
inferred← citeshttps://doi.org/10.1109/cine63708.2024.10881438openalex-snapshot
Scalability and AI: An Insight on Software Project Management
inferred← citeshttps://doi.org/10.1109/iciss63372.2025.11076303openalex-snapshot
Enhancing Software Effort Estimation with Machine and Deep Learning Strategies
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130223openalex-snapshot
Effective ANN Model based on Neuro-Evolution Mechanism for Realistic Software Estimates in the Early Phase of Software Development
inferred← citeshttps://doi.org/10.3390/math12020200openalex-snapshot
An Optimized LSTM Neural Network for Accurate Estimation of Software Development Effort
inferred← citeshttps://doi.org/10.3390/systems11020091openalex-snapshot
An Artificial Neural Network Model for Project Effort Estimation
inferred← citeshttps://doi.org/10.46932/sfjdv6n4-007openalex-snapshot
Modelos matemáticos para predicción de propagación de enfermedades emergentes
inferred← citeshttps://doi.org/10.5753/jbcs.2026.5860openalex-snapshot
User Story Estimation using Natural Language Processing and Deep Learning: A Comparative Study
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.