Firuz Kamalov

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 56

Top Topics

Foreign Exchange

Imbalanced Data

Density Estimation

Feature Selection

Top Venues

J. Inf. Knowl. Manag.

Publications

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) (2024)
Febrian Kurniawan, Gandeva Bayu Satrya, Firuz Kamalov
Lightweight Fish Classification Model for Sustainable Marine Management: Indonesian Case. CoRR (2024)
Dina Elreedy, Amir F. Atiya, Firuz Kamalov
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning. Mach. Learn. 113 (7) (2024)
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 (2024)
Abhiruph Chakravarty, Jatin Karthik Tripathy, Sibi Chakkaravarthy S, Aswani Kumar Cherukuri, S. Anitha, Firuz Kamalov, Annapurna Jonnalagadda
e-Inu: Simulating A Quadruped Robot With Emotional Sentience. CoRR (2023)
Somya Khatri, Aswani Kumar Cherukuri, Firuz Kamalov
Global Pandemics Influence on Cyber Security and Cyber Crimes. CoRR (2023)
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 (2023)
Firuz Kamalov, Said Elnaffar, Hana Sulieman, Aswani Kumar Cherukuri
XyGen: Synthetic data generator for feature selection. Softw. Impacts 15 (2023)
Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri
Synthetic Data for Feature Selection. ICAISC (2) (2023)
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) (2023)
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) (2023)
Firuz Kamalov, Ikhlaas Gurrib
A New Era of Artificial Intelligence in Education: A Multifaceted Revolution. CoRR (2023)
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)
Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, Ashraf Elnagar, Murodbek Safaraliev
Deep learning for Covid-19 forecasting: State-of-the-art review. Neurocomputing 511 (2022)
Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri
Synthetic Data for Feature Selection. CoRR (2022)
Firuz Kamalov, Ikhlaas Gurrib
Machine learning-based forecasting of significant daily returns in foreign exchange markets. Int. J. Bus. Intell. Data Min. 21 (4) (2022)
Firuz Kamalov, Amir F. Atiya, Dina Elreedy
Partial Resampling of Imbalanced Data. CoRR (2022)
Firuz Kamalov, Ikhlaas Gurrib, Sherif Moussa, Amril Nazir
A Comparative Study of Autoregressive and Neural Network Models: Forecasting the GARCH Process. ICIC (3) (2022)
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) (2022)
Firuz Kamalov, Ashraf Elnagar
Kernel density estimation-based sampling for neural network classification. CoRR (2021)
Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
Forecasting with Deep Learning: S&P 500 index. CoRR (2021)
Ziad El-Khatib, Firuz Kamalov, Sherif Moussa, Ahmed AlGindy
RF LNA with Active Inductor Linearizer for Wireless Communication. ISNCC (2021)
Ikhlaas Gurrib, Firuz Kamalov, Linda Smail
Bitcoin Price Forecasting: Linear Discriminant Analysis with Sentiment Evaluation. ArabWIC (2021)
Firuz Kamalov
Orthogonal variance decomposition based feature selection. Expert Syst. Appl. 182 (2021)
Firuz Kamalov, Ashraf Elnagar
Kernel density estimation-based sampling for neural network classification. ISNCC (2021)
Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
Stock price forecast with deep learning. CoRR (2021)
Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Osman El Labban
Neural Networks Architecture for COVID-19 Early Detection. ISNCC (2021)
Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal
Feature selection for intrusion detection systems. CoRR (2021)
Firuz Kamalov, Amril Nazir, Murodbek Safaraliev, Aswani Kumar Cherukuri, Rita Zgheib
Comparative analysis of activation functions in neural networks. ICECS (2021)
Firuz Kamalov, Hana Sulieman
Time series signal recovery methods: comparative study. ISNCC (2021)
Sane Yagi, Youssef Mansour, Firuz Kamalov, Ashraf Elnagar
Evaluation of Arabic-Based Contextualized Word Embedding Models. IALP (2021)
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)
Firuz Kamalov, Aswani Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain
Machine learning applications for COVID-19: A state-of-the-art review. CoRR (2021)
Khairan Rajab, Firuz Kamalov
Finite Sample Based Mutual Information. IEEE Access 9 (2021)
Firuz Kamalov, Sherif Moussa, Ziad El-Khatib, Adel Ben Mnaouer
Orthogonal variance-based feature selection for intrusion detection systems. ISNCC (2021)
Firuz Kamalov, Ashraf Elnagar, Ho Hon Leung
Ensemble Learning with Resampling for Imbalanced Data. ICIC (2) (2021)
Firuz Kamalov, Sherif Moussa, Ziad El-Khatib, Adel Ben Mnaouer
Orthogonal variance-based feature selection for intrusion detection systems. CoRR (2021)
Firuz Kamalov, Ho Hon Leung
Outlier Detection in High Dimensional Data. J. Inf. Knowl. Manag. 19 (1) (2020)
Fadi A. Thabtah, Suhel Hammoud, Firuz Kamalov, Amanda H. Gonsalves
Data imbalance in classification: Experimental evaluation. Inf. Sci. 513 (2020)
Firuz Kamalov, Dmitry Denisov
Gamma distribution-based sampling for imbalanced data. Knowl. Based Syst. 207 (2020)
Firuz Kamalov
Generalized feature similarity measure. Ann. Math. Artif. Intell. 88 (9) (2020)
Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
Forecasting with Deep Learning: S&P 500 index. ISCID (2020)
Firuz Kamalov
Forecasting significant stock price changes using neural networks. Neural Comput. Appl. 32 (23) (2020)
Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal
Feature selection for intrusion detection systems. ISCID (2020)
Firuz Kamalov
Kernel density estimation based sampling for imbalanced class distribution. Inf. Sci. 512 (2020)
Firuz Kamalov, Dmitry Denisov
Gamma distribution-based sampling for imbalanced data. CoRR (2020)
Firuz Kamalov, Ho Hon Leung
Deep learning regularization in imbalanced data. CCCI (2020)
Firuz Kamalov, Ikhlaas Gurrib
Machine learning based forecasting of significant daily returns in foreign exchange markets. CoRR (2020)
Fadi A. Thabtah, Firuz Kamalov, Suhel Hammoud, Seyed Reza Shahamiri
Least Loss: A simplified filter method for feature selection. Inf. Sci. 534 (2020)
Firuz Kamalov, Ho Hon Leung
Outlier Detection in High Dimensional Data. CoRR (2019)
Firuz Kamalov
Orthogonal variance decomposition based feature selection. CoRR (2019)
Firuz Kamalov
KDE sampling for imbalanced class distribution. CoRR (2019)
Firuz Kamalov
Forecasting significant stock price changes using neural networks. CoRR (2019)
Firuz Kamalov
Sensitivity Analysis for Feature Selection. ICMLA (2018)
Fadi A. Thabtah, Firuz Kamalov, Khairan Rajab
A new computational intelligence approach to detect autistic features for autism screening. Int. J. Medical Informatics 117 (2018)
Fadi A. Thabtah, Firuz Kamalov
Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning. J. Inf. Knowl. Manag. 16 (4) (2017)