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Amir Ahmad
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2020 – today
- 2024
- [j32]Ali Nawaz, Shehroz S. Khan, Amir Ahmad:
Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review. IEEE Access 12: 17273-17289 (2024) - [j31]Amir Ahmad, Sami M. Halawani, Ajay Kumar, Arshad Hashmi, Mutasem Jarrah, Abdul Rafey Ahmad, Zia Abbas:
A Theoretical Study of the Representational Power of Weighted Randomised Univariate Regression Tree Ensembles. J. Inf. Knowl. Manag. 23(4): 2450045:1-2450045:26 (2024) - 2023
- [j30]Moomal Farhad, Mohammad Mehedy Masud, Azam Beg, Amir Ahmad, Luai Awad Ahmed, Sehar Memon:
A data-efficient zero-shot and few-shot Siamese approach for automated diagnosis of left ventricular hypertrophy. Comput. Biol. Medicine 163: 107129 (2023) - [j29]Deepthi Amuru, Andleeb Zahra, Harsha V. Vudumula, Pavan K. Cherupally, Sushanth R. Gurram, Amir Ahmad, Zia Abbas:
AI/ML algorithms and applications in VLSI design and technology. Integr. 93: 102048 (2023) - [c11]Ashutosh Pathy, Andleeb Zahra, Amir Ahmad, Zia Abbas:
A High PSRR CMOS Voltage and Current Reference in One Circuit Without Amplifier for Low Power Applications. ICM 2023: 276-279 - [c10]Alia AlNeyadi, Ashwaq AlMarri, Salha AlKuwaiti, Amir Ahmad:
A Study of the Effect of Vaccinated Populations on the Prediction Accuracy of the Regression Models for Daily Covid-19 Cases Prediction. IIT 2023: 257-261 - 2022
- [j28]Wasif Khan, Nazar Zaki, Amir Ahmad, Mohammad Mehedy Masud, Luqman Ali, Nasloon Ali, Luai Awad Ahmed:
Mixed Data Imputation Using Generative Adversarial Networks. IEEE Access 10: 124475-124490 (2022) - [j27]Nasloon Ali, Wasif Khan, Amir Ahmad, Mohammad Mehedy Masud, Hiba Adam, Luai Awad Ahmed:
Predictive Modeling for the Diagnosis of Gestational Diabetes Mellitus Using Epidemiological Data in the United Arab Emirates. Inf. 13(10): 485 (2022) - [i7]Deepthi Amuru, Harsha V. Vudumula, Pavan K. Cherupally, Sushanth R. Gurram, Amir Ahmad, Andleeb Zahra, Zia Abbas:
AI/ML Algorithms and Applications in VLSI Design and Technology. CoRR abs/2202.10015 (2022) - 2021
- [j26]Khaled Al Rabaiei, Fady Alnajjar, Amir Ahmad:
Kano Model Integration with Data Mining to Predict Customer Satisfaction. Big Data Cogn. Comput. 5(4): 66 (2021) - [j25]Amir Ahmad, Ourooj Safi, Sharaf Jameel Malebary, Sami Alesawi, Entisar S. Alkayal:
Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study. Complex. 2021: 5550344:1-5550344:8 (2021) - [j24]Amir Ahmad, Shehroz S. Khan:
initKmix-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering. Expert Syst. Appl. 167: 114149 (2021) - [j23]Mohd Yousuf Ansari, Mainuddin, Amir Ahmad, Gopal Bhushan:
Spatiotemporal trajectory clustering: A clustering algorithm for spatiotemporal data. Expert Syst. Appl. 178: 115048 (2021) - 2020
- [j22]Mohd Yousuf Ansari, Amir Ahmad, Shehroz S. Khan, Gopal Bhushan, Mainuddin:
Spatiotemporal clustering: a review. Artif. Intell. Rev. 53(4): 2381-2423 (2020) - [j21]Amir Ahmad, Omar Barukab:
A Novel Approach to Identify the Categories of Attributes for the Three-Factor Structure in Customer Satisfaction. Complex. 2020: 9506941:1-9506941:12 (2020) - [i6]Amir Ahmad, Sunita Garhwal, Santosh Kumar Ray, Gagan Kumar, Sharaf Jameel Malebary, Omar Mohammed Omar Barukab:
The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges. CoRR abs/2006.09184 (2020)
2010 – 2019
- 2019
- [j20]Santosh Kumar Ray, Amir Ahmad, Ch. Aswani Kumar:
Review and Implementation of Topic Modeling in Hindi. Appl. Artif. Intell. 33(11): 979-1007 (2019) - [j19]Amir Ahmad, Shehroz S. Khan:
Survey of State-of-the-Art Mixed Data Clustering Algorithms. IEEE Access 7: 31883-31902 (2019) - [j18]Shehroz S. Khan, Amir Ahmad, Alex Mihailidis:
Bootstrapping and multiple imputation ensemble approaches for classification problems. J. Intell. Fuzzy Syst. 37(6): 7769-7783 (2019) - [i5]Amir Ahmad, Shehroz S. Khan:
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets. CoRR abs/1902.00127 (2019) - [i4]Amir Ahmad, Srikanth Bezawada:
OCCER- One-Class Classification by Ensembles of Regression models. CoRR abs/1912.11475 (2019) - 2018
- [j17]Amir Ahmad, Shehroz S. Khan, Ajay Kumar:
Learning regression problems by using classifiers. J. Intell. Fuzzy Syst. 35(1): 945-955 (2018) - [j16]Shehroz S. Khan, Amir Ahmad:
Relationship between Variants of One-Class Nearest Neighbors and Creating Their Accurate Ensembles. IEEE Trans. Knowl. Data Eng. 30(9): 1796-1809 (2018) - [i3]Shehroz S. Khan, Amir Ahmad, Alex Mihailidis:
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data. CoRR abs/1802.00154 (2018) - [i2]Amir Ahmad, Shehroz S. Khan:
A Survey of Mixed Data Clustering Algorithms. CoRR abs/1811.04364 (2018) - 2017
- [j15]Amir Ahmad, Hamza A. S. Abujabal, Ch. Aswani Kumar:
Random Subclasses Ensembles by Using 1-Nearest Neighbor Framework. Int. J. Pattern Recognit. Artif. Intell. 31(10): 1750031:1-1750031:26 (2017) - [j14]Amir Ahmad:
Evaluation of the relationship between brand measures and customer satisfaction by using data mining techniques. J. Intell. Fuzzy Syst. 33(4): 2451-2462 (2017) - 2016
- [j13]Amir Ahmad, Sarosh Hashmi:
K-Harmonic means type clustering algorithm for mixed datasets. Appl. Soft Comput. 48: 39-49 (2016) - [i1]Shehroz S. Khan, Amir Ahmad:
Equivalence Among Different Variants of One-Class Nearest Neighbours and Creating Their Accurate Ensembles. CoRR abs/1604.01686 (2016) - 2015
- [j12]Amir Ahmad, Gavin Brown:
Random Ordinality Ensembles: Ensemble methods for multi-valued categorical data. Inf. Sci. 296: 75-94 (2015) - 2014
- [j11]Amir Ahmad:
Decision tree ensembles based on kernel features. Appl. Intell. 41(3): 855-869 (2014) - [j10]Amir Ahmad, Sami M. Halawani, Ibrahim A. Albidewi:
Consistency of randomized and finite sized decision tree ensembles. Pattern Anal. Appl. 17(1): 97-104 (2014) - [j9]Amir Ahmad, Gavin Brown:
Random Projection Random Discretization Ensembles - Ensembles of Linear Multivariate Decision Trees. IEEE Trans. Knowl. Data Eng. 26(5): 1225-1239 (2014) - 2013
- [j8]Shehroz S. Khan, Amir Ahmad:
Cluster center initialization algorithm for K-modes clustering. Expert Syst. Appl. 40(18): 7444-7456 (2013) - 2012
- [j7]Amir Ahmad, Sami M. Halawani, Ibrahim A. Albidewi:
Novel ensemble methods for regression via classification problems. Expert Syst. Appl. 39(7): 6396-6401 (2012) - [j6]Amir Ahmad, Lipika Dey, Sami M. Halawani:
A rule-based method for identifying the factor structure in customer satisfaction. Inf. Sci. 198: 118-129 (2012) - [c9]Sami M. Halawani, Amir Ahmad:
Ensemble Methods for Prediction of Parkinson Disease. IDEAL 2012: 516-521 - [c8]Shehroz S. Khan, Amir Ahmad:
Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering. MultiClust@SDM 2012: 3-10 - 2011
- [j5]Amir Ahmad, Lipika Dey:
A k-means type clustering algorithm for subspace clustering of mixed numeric and categorical datasets. Pattern Recognit. Lett. 32(7): 1062-1069 (2011)
2000 – 2009
- 2009
- [b1]Amir Ahmad:
Data Transformation for Decision Tree Ensembles. University of Manchester, UK, 2009 - [c7]Amir Ahmad, Gavin Brown:
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data. MCS 2009: 222-231 - [c6]Amir Ahmad, Gavin Brown:
A Study of Random Linear Oracle Ensembles. MCS 2009: 488-497 - 2007
- [j4]Amir Ahmad, Lipika Dey:
A k-mean clustering algorithm for mixed numeric and categorical data. Data Knowl. Eng. 63(2): 503-527 (2007) - [j3]Amir Ahmad, Lipika Dey:
A method to compute distance between two categorical values of same attribute in unsupervised learning for categorical data set. Pattern Recognit. Lett. 28(1): 110-118 (2007) - 2005
- [j2]Amir Ahmad, Lipika Dey:
A feature selection technique for classificatory analysis. Pattern Recognit. Lett. 26(1): 43-56 (2005) - [c5]Amir Ahmad, Lipika Dey:
Algorithm for Fuzzy Clustering of Mixed Data with Numeric and Categorical Attributes. ICDCIT 2005: 561-572 - [c4]Lipika Dey, Amir Ahmad, Sachin Kumar:
Finding Interesting Rules Exploiting Rough Memberships. PReMI 2005: 732-737 - 2004
- [j1]Shehroz S. Khan, Amir Ahmad:
Cluster center initialization algorithm for K-means clustering. Pattern Recognit. Lett. 25(11): 1293-1302 (2004) - 2003
- [c3]Lipika Dey, Nitish Jain, Nishta Dhawan, Amir Ahmad:
A Co-occurrence Based Clustering Algorithm for Categorical Data. IICAI 2003: 479-492 - [c2]Amir Ahmad, Shehroz S. Khan:
Generating K-Prototype Points for Unsupervised Learning. IICAI 2003: 1320-1327 - 2002
- [c1]Amir Ahmad, Lipika Dey:
Attribute Selection for Classificatory Analysis Using a Probabilistic Approach. ICVGIP 2002
Coauthor Index
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last updated on 2024-09-22 00:32 CEST by the dblp team
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