Firuz Kamalov - RankMe

66 papers C 7Journal 47Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Automation: A Systematic Review of AI Teaching Methodologies and a Framework for Human-AI Synergy in Higher Education. IEEE Access Ahmed Abdel Aziz Elsayed, Ghassan Malkawi, Yousef Wardat, Firuz Kamalov
2026	J	`jnl`	Theoretical Convergence of SMOTE-Generated Samples. CoRR Firuz Kamalov, Hana Sulieman, Witold Pedrycz
2025	J	`jnl`	Can Large Language Models Bridge the Gap in Environmental Knowledge? CoRR Linda Smail, David Santandreu Calonge, Firuz Kamalov, Nur H. Orak
2025	—	`conf`	Elliptic Separator: A Geometric Approach to Linear Classification. ICAISC (2) Firuz Kamalov
2025	J	`jnl`	Empirical Evaluation of the Relative Range for Detecting Outliers. Entropy Dania Dallah, Hana Sulieman, Ayman Al Zaatreh, Firuz Kamalov
2025	J	`jnl`	Evolution of AI in Education: Agentic Workflows. CoRR Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif
2025	J	`jnl`	ICAIMT: ART-LSTM: Augmented Reverse Training for Data-Efficient Time Series Forecasting. J. Inf. Knowl. Manag. Firuz Kamalov, Ikhlaas Gurrib, Linda Smail, Ziad El-Khatib
2025	J	`jnl`	Path-Weighted Integrated Gradients for Interpretable Dementia Classification. CoRR Firuz Kamalov, Mohmad Al Falasi, Fadi A. Thabtah
2024	J	`jnl`	A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning. Mach. Learn. Dina Elreedy, Amir F. Atiya, Firuz Kamalov
2024	J	`jnl`	Conceptual design and implementation of FIDO2 compatible smart medical card for healthcare information system. Int. J. Crit. Comput. Based Syst. Sibi Chakkaravarthy Sethuraman, Aditya Mitra, Anisha Ghosh, Rishita Shaw, Aswani Kumar Cherukuri, Firuz Kamalov
2024	—	`conf`	Gamma Sampling for Intrusion Detection with Imbalanced Data. SocialSec Firuz Kamalov, Rohan Mitra, Hana Sulieman
2024	J	`jnl`	Lightweight Fish Classification Model for Sustainable Marine Management: Indonesian Case. CoRR Febrian Kurniawan, Gandeva Bayu Satrya, Firuz Kamalov
2024	J	`jnl`	Modelling Data Poisoning Attacks Against Convolutional Neural Networks. J. Inf. Knowl. Manag. Annapurna Jonnalagadda, Debdeep Mohanty, Ashraf Zakee, Firuz Kamalov
2024	J	`jnl`	Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique. IEEE Access Ziad El-Khatib, Firuz Kamalov, Sherif Moussa, Adel Ben Mnaouer, Mustapha C. E. Yagoub, Halim Yanikomeroglu
2023	J	`jnl`	A New Era of Artificial Intelligence in Education: A Multifaceted Revolution. CoRR Firuz Kamalov, Ikhlaas Gurrib
2023	J	`jnl`	An Ensemble-Based Machine Learning Model for Emotion and Mental Health Detection. J. Inf. Knowl. Manag. Annapurna Jonnalagadda, Manan Rajvir, Shovan Singh, S. Chandramouliswaran, Joshua George, Firuz Kamalov
2023	J	`jnl`	Global Pandemics Influence on Cyber Security and Cyber Crimes. CoRR Somya Khatri, Aswani Kumar Cherukuri, Firuz Kamalov
2023	C	`conf`	Leveraging computer algebra systems in calculus: a case study with SymPy. EDUCON Firuz Kamalov, David Santandreu, Ho Hon Leung, Jason Johnson, Ziad El-Khatib
2023	J	`jnl`	Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention. Sensors Amril Nazir, Rohan Mitra, Hana Sulieman, Firuz Kamalov
2023	—	`conf`	Synthetic Data for Feature Selection. ICAISC (2) Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri
2023	J	`jnl`	Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19. Neurocomputing Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Haythem El-Messiry, Ahmed Al-Gindy
2023	J	`jnl`	XyGen: Synthetic data generator for feature selection. Softw. Impacts Firuz Kamalov, Said Elnaffar, Hana Sulieman, Aswani Kumar Cherukuri
2023	J	`jnl`	e-Inu: Simulating A Quadruped Robot With Emotional Sentience. CoRR Abhiruph Chakravarty, Jatin Karthik Tripathy, S. Sibi Chakkaravarthy, Aswani Kumar Cherukuri, S. Anitha, Firuz Kamalov, Annapurna Jonnalagadda
2022	—	`conf`	A Comparative Study of Autoregressive and Neural Network Models: Forecasting the GARCH Process. ICIC (3) Firuz Kamalov, Ikhlaas Gurrib, Sherif Moussa, Amril Nazir
2022	J	`jnl`	Autism screening: an unsupervised machine learning approach. Health Inf. Sci. Syst. Fadi A. Thabtah, Robinson Spencer, Neda Abdelhamid, Firuz Kamalov, Carl Wentzel, Yongsheng Ye, Thanu Dayara
2022	J	`jnl`	Deep learning for Covid-19 forecasting: State-of-the-art review. Neurocomputing Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, Ashraf Elnagar, Murodbek Safaraliev
2022	J	`jnl`	Machine learning-based forecasting of significant daily returns in foreign exchange markets. Int. J. Bus. Intell. Data Min. Firuz Kamalov, Ikhlaas Gurrib
2022	J	`jnl`	Partial Resampling of Imbalanced Data. CoRR Firuz Kamalov, Amir F. Atiya, Dina Elreedy
2022	J	`jnl`	Synthetic Data for Feature Selection. CoRR Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri
2021	—	`conf`	Bitcoin Price Forecasting: Linear Discriminant Analysis with Sentiment Evaluation. ArabWIC Ikhlaas Gurrib, Firuz Kamalov, Linda Smail
2021	—	`conf`	Comparative analysis of activation functions in neural networks. ICECS Firuz Kamalov, Amril Nazir, Murodbek Safaraliev, Aswani Kumar Cherukuri, Rita Zgheib
2021	—	`conf`	Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods. ICIC (2) Rita Zgheib, Firuz Kamalov, Ghazar Chahbandarian, Osman El Labban
2021	—	`conf`	Ensemble Learning with Resampling for Imbalanced Data. ICIC (2) Firuz Kamalov, Ashraf Elnagar, Ho Hon Leung
2021	—	`conf`	Evaluation of Arabic-Based Contextualized Word Embedding Models. IALP Sane Yagi, Youssef Mansour, Firuz Kamalov, Ashraf Elnagar
2021	J	`jnl`	Feature selection for intrusion detection systems. CoRR Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal
2021	J	`jnl`	Finite Sample Based Mutual Information. IEEE Access Khairan Rajab, Firuz Kamalov
2021	J	`jnl`	Forecasting with Deep Learning: S&P 500 index. CoRR Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
2021	C	`conf`	Kernel density estimation-based sampling for neural network classification. ISNCC Firuz Kamalov, Ashraf Elnagar
2021	J	`jnl`	Kernel density estimation-based sampling for neural network classification. CoRR Firuz Kamalov, Ashraf Elnagar
2021	J	`jnl`	Machine learning applications for COVID-19: A state-of-the-art review. CoRR Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain
2021	C	`conf`	Neural Networks Architecture for COVID-19 Early Detection. ISNCC Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Osman El Labban
2021	J	`jnl`	Orthogonal variance decomposition based feature selection. Expert Syst. Appl. Firuz Kamalov
2021	C	`conf`	Orthogonal variance-based feature selection for intrusion detection systems. ISNCC Firuz Kamalov, Sherif Moussa, Ziad El-Khatib, Adel Ben Mnaouer
2021	J	`jnl`	Orthogonal variance-based feature selection for intrusion detection systems. CoRR Firuz Kamalov, Sherif Moussa, Ziad El-Khatib, Adel Ben Mnaouer
2021	C	`conf`	RF LNA with Active Inductor Linearizer for Wireless Communication. ISNCC Ziad El-Khatib, Firuz Kamalov, Sherif Moussa, Ahmed Al-Gindy
2021	J	`jnl`	Stock price forecast with deep learning. CoRR Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
2021	C	`conf`	Time series signal recovery methods: comparative study. ISNCC Firuz Kamalov, Hana Sulieman
2020	J	`jnl`	Data imbalance in classification: Experimental evaluation. Inf. Sci. Fadi A. Thabtah, Suhel Hammoud, Firuz Kamalov, Amanda H. Gonsalves
2020	—	`conf`	Deep learning regularization in imbalanced data. CCCI Firuz Kamalov, Ho Hon Leung
2020	—	`conf`	Feature selection for intrusion detection systems. ISCID Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal
2020	J	`jnl`	Forecasting significant stock price changes using neural networks. Neural Comput. Appl. Firuz Kamalov
2020	—	`conf`	Forecasting with Deep Learning: S&P 500 index. ISCID Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
2020	J	`jnl`	Gamma distribution-based sampling for imbalanced data. CoRR Firuz Kamalov, Dmitry Denisov
2020	J	`jnl`	Gamma distribution-based sampling for imbalanced data. Knowl. Based Syst. Firuz Kamalov, Dmitry Denisov
2020	J	`jnl`	Generalized feature similarity measure. Ann. Math. Artif. Intell. Firuz Kamalov
2020	J	`jnl`	Kernel density estimation based sampling for imbalanced class distribution. Inf. Sci. Firuz Kamalov
2020	J	`jnl`	Least Loss: A simplified filter method for feature selection. Inf. Sci. Fadi A. Thabtah, Firuz Kamalov, Suhel Hammoud, Seyed Reza Shahamiri
2020	J	`jnl`	Machine learning based forecasting of significant daily returns in foreign exchange markets. CoRR Firuz Kamalov, Ikhlaas Gurrib
2020	J	`jnl`	Outlier Detection in High Dimensional Data. J. Inf. Knowl. Manag. Firuz Kamalov, Ho Hon Leung
2019	J	`jnl`	Forecasting significant stock price changes using neural networks. CoRR Firuz Kamalov
2019	J	`jnl`	KDE sampling for imbalanced class distribution. CoRR Firuz Kamalov
2019	J	`jnl`	Orthogonal variance decomposition based feature selection. CoRR Firuz Kamalov
2019	J	`jnl`	Outlier Detection in High Dimensional Data. CoRR Firuz Kamalov, Ho Hon Leung
2018	J	`jnl`	A new computational intelligence approach to detect autistic features for autism screening. Int. J. Medical Informatics Fadi A. Thabtah, Firuz Kamalov, Khairan Rajab
2018	C	`conf`	Sensitivity Analysis for Feature Selection. ICMLA Firuz Kamalov
2017	J	`jnl`	Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning. J. Inf. Knowl. Manag. Fadi A. Thabtah, Firuz Kamalov