An investigation of machine learning based prediction systems

No abstract is available for this paper.

• Publication year

  2000

• Venue

  Journal of Systems and Software

• Publication date

  2000-07-15

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/S0164-1212(00)00005-4
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Artificial Intelligence in Medicine: 23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part I

  2025cited by this paper
• Heuristic principles for the design of artificial neural networks

  1999cited by this paper
• Human performance estimating with analogy and regression models: an empirical validation

  1998cited by this paper
• The Construction and Evaluation of Decision Trees: a Comparison of Evolutionary and Concept Learning Methods

  1997cited by this paper
• Estimating software development effort with connectionist models

  1997cited by this paper
• Estimating Software Project Effort Using Analogies

  1997cited by this paper
• A comparison of techniques for developing predictive models of software metrics

  1997cited by this paper
• Case-Based Reasoning: Experiences, Lessons and Future Directions

  1996cited by this paper
• Machine Learning Approaches to Estimating Software Development Effort

  1995cited by this paper
• Experience With the Accuracy of Software Maintenance Task Effort Prediction Models

  1995cited by this paper
• Cost Estimation of Software Projects through Case Base Reasoning

  1995cited by this paper
• Analogy‐Based Solution to Markup Estimation Problem

  1994cited by this paper
• Case-based reasoning

  1994cited by this paper
• Case-based reasoning: A review

  1994cited by this paper
• Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches

  1994cited by this paper
• Software Engineering Economics

  1993cited by this paper
• Software cost estimation using artificial neural networks

  1993cited by this paper
• Using neural networks in reliability prediction

  1992cited by this paper
• Case-Based Learning Algorithms

  1991cited by this paper
• The MERMAID Approach to software cost estimation

  1990cited by this paper
• Case-Based Reasoning in Software Effort estimation

  1990cited by this paper
• Identification and control of dynamical systems using neural networks

  1990cited by this paper
• Parallel Networks that Learn to Pronounce English Text

  1987cited by this paper
• An empirical validation of software cost estimation models

  1987cited by this paper
• Software engineering metrics and models

  1986cited by this paper
• Dynamic Memory: A Theory of Reminding and Learning in Computers and People

  1983cited by this paper
• Dynamic memory - a theory of reminding and learning in computers and people

  1983cited by this paper

• A Computational Physics–Based Machine Learning Modelling of Multiphase Flow Dynamics for Crude Oil Percentage Prediction Using Water Cut and Sediment Indicators

  2026cites this paper
• Artificial intelligence for assessing player partnerships in football matches

  2026cites this paper
• An Algorithm for Performance Evaluation of Prediction Models

  2025cites this paper
• Application of Neural Networks in Prediction of Software Effort

  2025cites this paper
• Optimizing student performance: the impact of time management strategies

  2025cites this paper
• Using machine learning paradigm to predict CBR value of treated expansive soil

  2025cites this paper
• AI-based constitutive model simulator for predicting the axial load-deflection behavior of recycled concrete powder and steel fiber reinforced concrete column

  2025cites this paper
• Machine learning-based multiphase pipeline network modeling

  2025cites this paper
• Preparation of iron-based Fenton-like catalysts using sufficient pyrolysis method: Rapid evaluation of performance, prediction of performance by machine learning, and characterization

  2025cites this paper
• Eye-XAI: an explainable artificial intelligence approach for eye disease detection using symptom analysis

  2025cites this paper
• Machine learning research advances in energy storage polymer-based dielectrics

  2025cites this paper
• Machine learning-based deformation prediction and inverse design of magnetic soft cantilever using deformation simulation data

  2025cites this paper
• Predicting Starch Content in Early Potato Varieties Using Neural Networks and Regression Models: A Comparative Study

  2024cites this paper
• Artificial intelligence in landscape architecture: a survey

  2024cites this paper
• Neural Networks‐Based Software Development Effort Estimation: A Systematic Literature Review

  2024cites this paper
• Multi-Step Dynamic Ensemble Selection to Estimate Software Effort

  2024cites this paper
• Accurate cooling load estimation using multi-layer perceptron machine learning models

  2024cites this paper
• Maximizing Performance and Efficiency: An Algorithm Approach to Engine Sensor Optimization using Machine Learning

  2024cites this paper
• The hospital emigration to another region in the light of the environmental, social and governance model in Italy during the period 2004-2021

  2024cites this paper
• A Medical Image Classification Model based on Quantum-Inspired Genetic Algorithm

  2024cites this paper
• Predicting hospital readmissions in diabetes patients: A comparative study of machine learning models

  2024cites this paper
• Dynamic Prediction of Delays in Software Projects using Delay Patterns and Bayesian Modeling

  2023cites this paper
• Machine learning framework with feature selection approaches for thyroid disease classification and associated risk factors identification

  2023cites this paper
• Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images

  2023cites this paper
• Optimizing Supply Chain Operations with Machine Learning: A Path to Efficient Business Decision Making

  2023cites this paper
• Modelling erosive wear of nano-filler added carbon fibre reinforced polymer composite by artificial neural networks

  2023cites this paper
• Exploring Distributional Shifts in Large Language Models for Code Analysis

  2023cites this paper
• Machine learning based predictive modeling to effectively implement DevOps practices in software organizations

  2023cites this paper
• DYNAMIC THRESHOLDING GA-BASED ECG FEATURE SELECTION IN CARDIOVASCULAR DISEASE DIAGNOSIS

  2023cites this paper
• Neural network system for recognition and visualization of problem areas of crops in precision farming: justification of application and aspects of implementation

  2023cites this paper
• A Proposed Model for Enhancing Product Recommendation Based on Word Embedding

  2023cites this paper
• Deep Learning-Based Path Loss Prediction for Fifth-Generation New Radio Vehicle Communications

  2023cites this paper
• Prediction of tensile elastic modulus of SiC/SiC mini-composites with the artificial neural network

  2023cites this paper
• An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods

  2022cites this paper
• Development of an algorithm for spectral analysis of images from UAVs to assess the quality of crop sprouts

  2022cites this paper
• Pearson correlation analysis and ANN prediction for population and temperature changes

  2022cites this paper
• On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review

  2022cites this paper
• Overview of intelligent technologies for ecosystem bioproductivity management based on neural network algorithms

  2022cites this paper
• Software cost estimation model based on fuzzy C-means and improved self adaptive differential evolution algorithm

  2022cites this paper
• Additive manufacturing of complexly shaped SiC with high density via extrusion-based technique – Effects of slurry thixotropic behavior and 3D printing parameters

  2022cites this paper
• Prediction of soil-bearing capacity on forest roads by statistical approaches

  2021cites this paper
• Prediction of Fuel Tankering in Aviation Industry with MAchine Learning Algorithms

  2021cites this paper
• CarEnvision: A Data-Driven Machine Learning Framework for Automated Car Value Prediction

  2021cites this paper
• Preliminary performance study of a brief review on machine learning techniques for analogy based software effort estimation

  2021cites this paper
• Identification of efficient COVID-19 diagnostic test through artificial neural networks approach − substantiated by modeling and simulation

  2021cites this paper
• Predictive model and feature importance for early detection of type II diabetes mellitus

  2021cites this paper
• Satellite monitoring and visualization of vegetation indices for assessing crop productivity

  2021cites this paper
• Multi-layer neural network for solving problems of recognition of drained crop areas

  2021cites this paper
• Polynomial analogy‐based software development effort estimation using combined particle swarm optimization and simulated annealing

  2021cites this paper
• Direction finding in sensors model based automatic modulation classification

  2021cites this paper
• Uncertainty Analysis on Electric Power Consumption

  2021cites this paper
• Vegetative indices dynamics modeling based on multispectral distant monitoring data analysis

  2021cites this paper
• Quantum Inspired Genetic Algorithm Model based Automatic Modulation Classification

  2021cites this paper
• Intelligent system for agricultural crops defective areas monitoring and visualization based on spectral analysis of satellite high-resolution images

  2021cites this paper
• Optoelectronic Materials Informatics: Utilizing Random-forest Machine Learning in Optimizing the Harvesting Capabilities of Mesostructured-based Solar Cells

  2021cites this paper
• Size Effect of a Piezoelectric Patch on a Rectangular Plate with the Neural Network Model

  2021cites this paper
• Implementation of a multi-layer hamming network in problems for recognition dry areas of agricultural crops

  2021cites this paper
• A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

  2021cites this paper
• Artificial Neural Networks in Creating Intelligent Distance Learning Systems

  2021cites this paper
• Software Effort Estimation for Successful Software Application Development

  2020cites this paper
• Applying Machine Learning in Technical Debt Management: Future Opportunities and Challenges

  2020cites this paper
• Software Estimation Framework for Digital Enhancements and Maintenance Projects

  2020cites this paper
• Optimization Scheme for Text Classification Using Machine Learning Naïve Bayes Classifier

  2020cites this paper
• The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review

  2020cites this paper
• AI-Driven IT and Its Potentials – A State-of-the-Art Approach

  2020cites this paper
• Computer Science – CACIC 2019: 25th Argentine Congress of Computer Science, CACIC 2019, Río Cuarto, Argentina, October 14–18, 2019, Revised Selected Papers

  2020cites this paper
• A Systematic Analysis of Data Preprocessing for Machine Learning-based Software Cost Estimation

  2020cites this paper
• A Model for Corrective Software Maintenance Effort Estimation after Privacy Leak Detection in Social Network

  2020cites this paper
• Application of machine learning in software engineering: an overview

  2019cites this paper
• Enhancing Software Project Outcomes: Using Machine Learning and Open Source Data to Employ Software Project Performance Determinants

  2019cites this paper
• Chemometrics approach for the prediction of chemical compounds’ toxicity degree based on quantum inspired optimization with applications in drug discovery

  2019cites this paper
• Quantum‐inspired genetic programming model with application to predict toxicity degree for chemical compounds

  2019cites this paper
• Hybrid case-base maintenance approach for modeling large scale case-based reasoning systems

  2019cites this paper
• Artificial Intelligence to Enhance Aerodynamic Shape Optimisation of the Aegis UAV

  2019cites this paper
• New Application of the Requirements Elicitation Process for the Construction of Intelligent System-Based Predictive Models

  2019cites this paper
• Integration of properties of virtual reality, artificial neural networks, and artificial intelligence in the automation of software tests: A review

  2019cites this paper
• An Insight into Machine Learning Techniques for Predictive Analysis and Feature Selection

  2019cites this paper
• Medical School Admissions: Defining the Future of Healthcare Delivery in the United States

  2019cites this paper
• Computational Intelligence Generation of Subject-Specific Knee and Hip Healthy Joint Angles Reference Curves

  2019cites this paper
• Application of the Requirements Elicitation Process for the Construction of Intelligent System-Based Predictive Models in the Education Area

  2019cites this paper
• Maternal depression in the intergenerational transmission of childhood maltreatment and its sequelae: Testing postpartum effects in a longitudinal birth cohort

  2018cites this paper
• Exposé zur Bachelorarbeit: Aufwandsschätzungen von Softwareprojekten durch Random Forest

  2018cites this paper
• Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation

  2018cites this paper
• Probabilistic estimation of software development effort techniques using machine learning

  2018cites this paper
• A Fuzzy Inference System and Data Mining Toolkit for Agent-Based Simulation in NetLogo

  2018cites this paper
• Duplex output software effort estimation model with self-guided interpretation

  2018cites this paper
• Prediction of shear strength of soft soil using machine learning methods

  2018cites this paper
• Satellite data and machine learning tools for predicting poverty in rural India

  2018cites this paper
• Linear Programming as a Baseline for Software Effort Estimation

  2018cites this paper
• Prediction of Electroencephalogram Time Series via Artificial Neuro-Fuzzy Inference System Trained by League Championship Algorithm

  2018cites this paper
• A Fuzzy Model for Function Point Analysis to Development and Enhancement Project Assessments

  2018cites this paper
• Software Development Effort Estimation Using Ensemble Machine Learning

  2017influential citation
• Proceso de elicitación de requerimientos para la construcción de modelos predictivos basados en sistemas inteligentes

  2017cites this paper
• Analysis of Critical Features and Evaluation of BIM Software : 1 Towards a Plugin for Construction Waste Minimisation

  2017cites this paper
• Case-based reasoning with optimized weight derived by particle swarm optimization for software effort estimation

  2017cites this paper
• Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study

  2017influential citation
• Proqram mühəndisliyində süni intellekt problemləri

  2017cites this paper
• Kernel-Based Machine Learning Models for the Prediction of Dengue and Chikungunya Morbidity in Colombia

  2017cites this paper
• Application of Artificial Neural Networks for Catalysis: A Review

  2017cites this paper
• Developing a routing algorithm and a prediction method for the turtle rescue problem

  2017influential citation