Amir Ahmad

Orcid: 0000-0002-9062-8170

According to our database1, Amir Ahmad authored at least 50 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Theoretical Study of the Representational Power of Weighted Randomised Univariate Regression Tree Ensembles.
J. Inf. Knowl. Manag., August, 2024

Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review.
IEEE Access, 2024

2023
AI/ML algorithms and applications in VLSI design and technology.
Integr., November, 2023

A data-efficient zero-shot and few-shot Siamese approach for automated diagnosis of left ventricular hypertrophy.
Comput. Biol. Medicine, September, 2023

A Study of the Effect of Vaccinated Populations on the Prediction Accuracy of the Regression Models for Daily Covid-19 Cases Prediction.
Proceedings of the 15th International Conference on Innovations in Information Technology, 2023

A High PSRR CMOS Voltage and Current Reference in One Circuit Without Amplifier for Low Power Applications.
Proceedings of the International Conference on Microelectronics, 2023

2022
Predictive Modeling for the Diagnosis of Gestational Diabetes Mellitus Using Epidemiological Data in the United Arab Emirates.
Inf., 2022

Mixed Data Imputation Using Generative Adversarial Networks.
IEEE Access, 2022

2021
Spatiotemporal trajectory clustering: A clustering algorithm for spatiotemporal data.
Expert Syst. Appl., 2021

<i>initKmix</i>-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering.
Expert Syst. Appl., 2021

Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study.
Complex., 2021

Kano Model Integration with Data Mining to Predict Customer Satisfaction.
Big Data Cogn. Comput., 2021

2020
The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges.
CoRR, 2020

A Novel Approach to Identify the Categories of Attributes for the Three-Factor Structure in Customer Satisfaction.
Complex., 2020

Spatiotemporal clustering: a review.
Artif. Intell. Rev., 2020

2019
Bootstrapping and multiple imputation ensemble approaches for classification problems.
J. Intell. Fuzzy Syst., 2019

OCCER- One-Class Classification by Ensembles of Regression models.
CoRR, 2019

A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets.
CoRR, 2019

Survey of State-of-the-Art Mixed Data Clustering Algorithms.
IEEE Access, 2019

Review and Implementation of Topic Modeling in Hindi.
Appl. Artif. Intell., 2019

2018
Relationship between Variants of One-Class Nearest Neighbors and Creating Their Accurate Ensembles.
IEEE Trans. Knowl. Data Eng., 2018

Learning regression problems by using classifiers.
J. Intell. Fuzzy Syst., 2018

A Survey of Mixed Data Clustering Algorithms.
CoRR, 2018

Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data.
CoRR, 2018

2017
Evaluation of the relationship between brand measures and customer satisfaction by using data mining techniques.
J. Intell. Fuzzy Syst., 2017

Random Subclasses Ensembles by Using 1-Nearest Neighbor Framework.
Int. J. Pattern Recognit. Artif. Intell., 2017

2016
Equivalence Among Different Variants of One-Class Nearest Neighbours and Creating Their Accurate Ensembles.
CoRR, 2016

K-Harmonic means type clustering algorithm for mixed datasets.
Appl. Soft Comput., 2016

2015
Random Ordinality Ensembles: Ensemble methods for multi-valued categorical data.
Inf. Sci., 2015

2014
Random Projection Random Discretization Ensembles - Ensembles of Linear Multivariate Decision Trees.
IEEE Trans. Knowl. Data Eng., 2014

Consistency of randomized and finite sized decision tree ensembles.
Pattern Anal. Appl., 2014

Decision tree ensembles based on kernel features.
Appl. Intell., 2014

2013
Cluster center initialization algorithm for K-modes clustering.
Expert Syst. Appl., 2013

2012
A rule-based method for identifying the factor structure in customer satisfaction.
Inf. Sci., 2012

Novel ensemble methods for regression via classification problems.
Expert Syst. Appl., 2012

Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering.
Proceedings of the 3rd MultiClust Workshop: Discovering, 2012

Ensemble Methods for Prediction of Parkinson Disease.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011
A k-means type clustering algorithm for subspace clustering of mixed numeric and categorical datasets.
Pattern Recognit. Lett., 2011

2009
Data Transformation for Decision Tree Ensembles.
PhD thesis, 2009

A Study of Random Linear Oracle Ensembles.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

2007
A method to compute distance between two categorical values of same attribute in unsupervised learning for categorical data set.
Pattern Recognit. Lett., 2007

A k-mean clustering algorithm for mixed numeric and categorical data.
Data Knowl. Eng., 2007

2005
A feature selection technique for classificatory analysis.
Pattern Recognit. Lett., 2005

Finding Interesting Rules Exploiting Rough Memberships.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Algorithm for Fuzzy Clustering of Mixed Data with Numeric and Categorical Attributes.
Proceedings of the Distributed Computing and Internet Technology, 2005

2004
Cluster center initialization algorithm for K-means clustering.
Pattern Recognit. Lett., 2004

2003
A Co-occurrence Based Clustering Algorithm for Categorical Data.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Generating K-Prototype Points for Unsupervised Learning.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

2002
Attribute Selection for Classificatory Analysis Using a Probabilistic Approach.
Proceedings of the ICVGIP 2002, 2002


  Loading...