no code implementations • 4 Jan 2024 • Febrian Kurniawan, Gandeva Bayu Satrya, Firuz Kamalov
The enormous demand for seafood products has led to exploitation of marine resources and near-extinction of some species.
no code implementations • 3 Jan 2023 • Abhiruph Chakravarty, Jatin Karthik Tripathy, Sibi Chakkaravarthy S, Aswani Kumar Cherukuri, S. Anitha, Firuz Kamalov, Annapurna Jonnalagadda
To this end, we use a combination of reinforcement learning and software engineering concepts to simulate a quadruped robot that can understand emotions, navigate through various terrains and detect sound sources, and respond to emotions using audio-visual feedback.
1 code implementation • 6 Nov 2022 • Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri
Feature selection is an important and active field of research in machine learning and data science.
no code implementations • 11 Jul 2022 • Firuz Kamalov, Amir F. Atiya, Dina Elreedy
Imbalanced data is a frequently encountered problem in machine learning.
no code implementations • 25 Oct 2021 • Firuz Kamalov, Sherif Moussa, Ziad El Khatib, Adel Ben Mnaouer
In this paper, we apply a fusion machine learning method to construct an automatic intrusion detection system.
no code implementations • 25 Oct 2021 • Firuz Kamalov, Ashraf Elnagar
We conclude that KDE sampling is capable of significantly improving the performance of neural networks.
no code implementations • 28 Jun 2021 • Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal
In this paper, we analyze existing feature selection methods to identify the key elements of network traffic data that allow intrusion detection.
no code implementations • 21 Mar 2021 • Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
In this paper, we compare various approaches to stock price prediction using neural networks.
no code implementations • 21 Mar 2021 • Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
Stock price prediction has been the focus of a large amount of research but an acceptable solution has so far escaped academics.
no code implementations • 19 Jan 2021 • Firuz Kamalov, Aswani Cherukuri, Hana Sulieman, Fadi Thabtah, Akbar Hossain
The COVID-19 pandemic has galvanized the machine learning community to create new solutions that can help in the fight against the virus.
no code implementations • 22 Sep 2020 • Firuz Kamalov, Dmitry Denisov
The proposed method is based on generating new minority instances in the neighborhood of the existing minority points via a gamma distribution.
no code implementations • 21 Sep 2020 • Firuz Kamalov, Ikhlaas Gurrib
Numerical experiments show that outlier detection methods substantially outperform traditional machine learning and finance techniques.
no code implementations • 21 Nov 2019 • Firuz Kamalov
Stock price prediction is a rich research topic that has attracted interest from various areas of science.
no code implementations • 22 Oct 2019 • Firuz Kamalov
Existing feature selection methods fail to properly account for interactions between features when evaluating feature subsets.
no code implementations • 17 Oct 2019 • Firuz Kamalov
We believe that KDE offers a more natural way of generating new instances of minority class that is less prone to overfitting than other standard sampling techniques.
no code implementations • 9 Sep 2019 • Firuz Kamalov, Ho Hon Leung
In particular, outlier detection algorithms perform poorly on data set of small size with a large number of features.