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ORCIDFiruz Kamalov
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2020 – today
- 2024
[j22]Ziad El-Khatib
, Firuz Kamalov, Sherif Moussa, Adel Ben Mnaouer, Mustapha C. E. Yagoub, Halim Yanikomeroglu:
Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique. IEEE Access 12: 17552-17570 (2024)- [j21]Sibi Chakkaravarthy Sethuraman, Aditya Mitra, Anisha Ghosh, Rishita Shaw, Aswani Kumar Cherukuri, Firuz Kamalov:
Conceptual design and implementation of FIDO2 compatible smart medical card for healthcare information system. Int. J. Crit. Comput. Based Syst. 11(1/2): 68-90 (2024) - [j20]Annapurna Jonnalagadda, Debdeep Mohanty, Ashraf Zakee, Firuz Kamalov:
Modelling Data Poisoning Attacks Against Convolutional Neural Networks. J. Inf. Knowl. Manag. 23(2): 2450022:1-2450022:21 (2024) - [j19]Dina Elreedy, Amir F. Atiya, Firuz Kamalov:
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning. Mach. Learn. 113(7): 4903-4923 (2024) - [i18]Febrian Kurniawan, Gandeva Bayu Satrya, Firuz Kamalov:
Lightweight Fish Classification Model for Sustainable Marine Management: Indonesian Case. CoRR abs/2401.02278 (2024) - 2023
- [j18]Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Haythem El-Messiry, Ahmed Al-Gindy:
Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19. Neurocomputing 528: 160-177 (2023) - [j17]Annapurna Jonnalagadda, Manan Rajvir, Shovan Singh, S. Chandramouliswaran, Joshua George, Firuz Kamalov:
An Ensemble-Based Machine Learning Model for Emotion and Mental Health Detection. J. Inf. Knowl. Manag. 22(2): 2250075:1-2250075:24 (2023) - [j16]Amril Nazir, Rohan Mitra, Hana Sulieman, Firuz Kamalov:
Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention. Sensors 23(13): 5811 (2023) - [j15]Firuz Kamalov, Said Elnaffar, Hana Sulieman, Aswani Kumar Cherukuri:
XyGen: Synthetic data generator for feature selection. Softw. Impacts 15: 100485 (2023) - [c17]Firuz Kamalov, David Santandreu, Ho Hon Leung, Jason Johnson, Ziad El-Khatib:
Leveraging computer algebra systems in calculus: a case study with SymPy. EDUCON 2023: 1-6 - [c16]Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri:
Synthetic Data for Feature Selection. ICAISC (2) 2023: 353-365 - [i17]Abhiruph Chakravarty, Jatin Karthik Tripathy, S. Sibi Chakkaravarthy, Aswani Kumar Cherukuri, S. Anitha, Firuz Kamalov, Annapurna Jonnalagadda:
e-Inu: Simulating A Quadruped Robot With Emotional Sentience. CoRR abs/2301.00964 (2023) - [i16]Somya Khatri, Aswani Kumar Cherukuri, Firuz Kamalov:
Global Pandemics Influence on Cyber Security and Cyber Crimes. CoRR abs/2302.12462 (2023) - [i15]Firuz Kamalov, Ikhlaas Gurrib:
A New Era of Artificial Intelligence in Education: A Multifaceted Revolution. CoRR abs/2305.18303 (2023) - 2022
- [j14]Fadi A. Thabtah, Robinson Spencer, Neda Abdelhamid, Firuz Kamalov, Carl Wentzel, Yongsheng Ye, Thanu Dayara:
Autism screening: an unsupervised machine learning approach. Health Inf. Sci. Syst. 10(1): 26 (2022) - [j13]Firuz Kamalov, Ikhlaas Gurrib:
Machine learning-based forecasting of significant daily returns in foreign exchange markets. Int. J. Bus. Intell. Data Min. 21(4): 465-483 (2022) - [j12]Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, Ashraf Elnagar, Murodbek Safaraliev:
Deep learning for Covid-19 forecasting: State-of-the-art review. Neurocomputing 511: 142-154 (2022) - [c15]Firuz Kamalov, Ikhlaas Gurrib, Sherif Moussa, Amril Nazir:
A Comparative Study of Autoregressive and Neural Network Models: Forecasting the GARCH Process. ICIC (3) 2022: 589-603 - [i14]Firuz Kamalov, Amir F. Atiya, Dina Elreedy:
Partial Resampling of Imbalanced Data. CoRR abs/2207.04631 (2022) - [i13]Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri:
Synthetic Data for Feature Selection. CoRR abs/2211.03035 (2022) - 2021
- [j11]Khairan Rajab, Firuz Kamalov:
Finite Sample Based Mutual Information. IEEE Access 9: 118871-118879 (2021) - [j10]Firuz Kamalov:
Orthogonal variance decomposition based feature selection. Expert Syst. Appl. 182: 115191 (2021) - [c14]Ikhlaas Gurrib, Firuz Kamalov, Linda Smail:
Bitcoin Price Forecasting: Linear Discriminant Analysis with Sentiment Evaluation. ArabWIC 2021: 4:1-4:5 - [c13]Sane Yagi, Youssef Mansour, Firuz Kamalov, Ashraf Elnagar:
Evaluation of Arabic-Based Contextualized Word Embedding Models. IALP 2021: 200-206 - [c12]Firuz Kamalov, Amril Nazir, Murodbek Safaraliev, Aswani Kumar Cherukuri, Rita Zgheib:
Comparative analysis of activation functions in neural networks. ICECS 2021: 1-6 - [c11]Firuz Kamalov, Ashraf Elnagar, Ho Hon Leung:
Ensemble Learning with Resampling for Imbalanced Data. ICIC (2) 2021: 564-578 - [c10]Rita Zgheib, Firuz Kamalov, Ghazar Chahbandarian, Osman El Labban:
Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods. ICIC (2) 2021: 616-627 - [c9]Ziad El-Khatib, Firuz Kamalov, Sherif Moussa, Ahmed Al-Gindy:
RF LNA with Active Inductor Linearizer for Wireless Communication. ISNCC 2021: 1-4 - [c8]Firuz Kamalov, Ashraf Elnagar:
Kernel density estimation-based sampling for neural network classification. ISNCC 2021: 1-4 - [c7]Firuz Kamalov, Sherif Moussa, Ziad El-Khatib, Adel Ben Mnaouer:
Orthogonal variance-based feature selection for intrusion detection systems. ISNCC 2021: 1-5 - [c6]Firuz Kamalov, Hana Sulieman:
Time series signal recovery methods: comparative study. ISNCC 2021: 1-5 - [c5]Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Osman El Labban:
Neural Networks Architecture for COVID-19 Early Detection. ISNCC 2021: 1-6 - [i12]Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain:
Machine learning applications for COVID-19: A state-of-the-art review. CoRR abs/2101.07824 (2021) - [i11]Firuz Kamalov, Linda Smail, Ikhlaas Gurrib:
Forecasting with Deep Learning: S&P 500 index. CoRR abs/2103.14080 (2021) - [i10]Firuz Kamalov, Linda Smail, Ikhlaas Gurrib:
Stock price forecast with deep learning. CoRR abs/2103.14081 (2021) - [i9]Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal:
Feature selection for intrusion detection systems. CoRR abs/2106.14941 (2021) - [i8]Firuz Kamalov, Sherif Moussa, Ziad El-Khatib, Adel Ben Mnaouer:
Orthogonal variance-based feature selection for intrusion detection systems. CoRR abs/2110.12627 (2021) - [i7]Firuz Kamalov, Ashraf Elnagar:
Kernel density estimation-based sampling for neural network classification. CoRR abs/2110.12644 (2021) - 2020
- [j9]Firuz Kamalov:
Generalized feature similarity measure. Ann. Math. Artif. Intell. 88(9): 987-1002 (2020) - [j8]Firuz Kamalov:
Kernel density estimation based sampling for imbalanced class distribution. Inf. Sci. 512: 1192-1201 (2020) - [j7]Fadi A. Thabtah, Suhel Hammoud, Firuz Kamalov, Amanda H. Gonsalves:
Data imbalance in classification: Experimental evaluation. Inf. Sci. 513: 429-441 (2020) - [j6]Fadi A. Thabtah, Firuz Kamalov, Suhel Hammoud, Seyed Reza Shahamiri:
Least Loss: A simplified filter method for feature selection. Inf. Sci. 534: 1-15 (2020) - [j5]Firuz Kamalov, Ho Hon Leung:
Outlier Detection in High Dimensional Data. J. Inf. Knowl. Manag. 19(1): 2040013:1-2040013:16 (2020) - [j4]Firuz Kamalov, Dmitry Denisov:
Gamma distribution-based sampling for imbalanced data. Knowl. Based Syst. 207: 106368 (2020) - [j3]Firuz Kamalov:
Forecasting significant stock price changes using neural networks. Neural Comput. Appl. 32(23): 17655-17667 (2020) - [c4]Firuz Kamalov, Ho Hon Leung:
Deep learning regularization in imbalanced data. CCCI 2020: 1-5 - [c3]Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal:
Feature selection for intrusion detection systems. ISCID 2020: 265-269 - [c2]Firuz Kamalov, Linda Smail, Ikhlaas Gurrib:
Forecasting with Deep Learning: S&P 500 index. ISCID 2020: 422-425 - [i6]Firuz Kamalov, Ikhlaas Gurrib:
Machine learning based forecasting of significant daily returns in foreign exchange markets. CoRR abs/2009.10065 (2020) - [i5]Firuz Kamalov, Dmitry Denisov:
Gamma distribution-based sampling for imbalanced data. CoRR abs/2009.10343 (2020)
2010 – 2019
- 2019
- [i4]Firuz Kamalov, Ho Hon Leung:
Outlier Detection in High Dimensional Data. CoRR abs/1909.03681 (2019) - [i3]Firuz Kamalov:
KDE sampling for imbalanced class distribution. CoRR abs/1910.07842 (2019) - [i2]Firuz Kamalov:
Orthogonal variance decomposition based feature selection. CoRR abs/1910.09851 (2019) - [i1]Firuz Kamalov:
Forecasting significant stock price changes using neural networks. CoRR abs/1912.08791 (2019) - 2018
- [j2]Fadi A. Thabtah, Firuz Kamalov, Khairan Rajab:
A new computational intelligence approach to detect autistic features for autism screening. Int. J. Medical Informatics 117: 112-124 (2018) - [c1]Firuz Kamalov:
Sensitivity Analysis for Feature Selection. ICMLA 2018: 1466-1470 - 2017
- [j1]Fadi A. Thabtah, Firuz Kamalov:
Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning. J. Inf. Knowl. Manag. 16(4): 1750034:1-1750034:16 (2017)
Coauthor Index
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last updated on 2024-10-07 22:05 CEST by the dblp team
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