Cited by 10
Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets

2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA)
Somiya Abokadr, Azreen Azman, Hazlina Hamdan, Nurul Amelina
Conference:  (2023), p. 1
Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study
Amenah M. AL‐Imam, Safa Daoud, Ma'mon M. Hatmal, Mutasem Omar Taha
Journal:  Molecular Informatics Volume 42, Issue 6 (2023)
Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT3 as case study
Nour Jamal Jaradat, Mamon Hatmal, Dana Alqudah, Mutasem Omar Taha
Journal:  Journal of Computer-Aided Molecular Design Volume 37, Issue 12 (2023), p. 659
Discovery of new STAT3 inhibitors as anticancer agents using ligand-receptor contact fingerprints and docking-augmented machine learning
Nour Jamal Jaradat, Walhan Alshaer, Mamon Hatmal, Mutasem Omar Taha
Journal:  RSC Advances Volume 13, Issue 7 (2023), p. 4623
Feature selection and its combination with data over-sampling for multi-class imbalanced datasets
Chih-Fong Tsai, Kuan-Chen Chen, Wei-Chao Lin
Journal:  Applied Soft Computing Volume 153 (2024), p. 111267
GRU‐GBM: A combined intrusion detection model using LightGBM and gated recurrent unit
Alper Sarıkaya, Banu Günel Kılıç, Mehmet Demirci
Journal:  Expert Systems Volume 39, Issue 9 (2022)
Machine Learning Algorithms for Raw and Unbalanced Intrusion Detection Data in a Multi-Class Classification Problem
Mantas Bacevicius, Agne Paulauskaite-Taraseviciene
Journal:  Applied Sciences Volume 13, Issue 12 (2023), p. 7328
NETWORK INTRUSION DETECTION USING HYBRID MACHINE LEARNING METHODS
Karina Čiurlienė, Denisas Stankevičius
Journal:  Mokslas - Lietuvos ateitis Volume 15 (2023), p. 1
Oversampling by genetic algorithm and k-nearest neighbors for network intrusion problem
Wattana Jindaluang
Journal:  Journal of Intelligent & Fuzzy Systems Volume 43, Issue 3 (2022), p. 2515
Toward Improved Machine Learning-Based Intrusion Detection for Internet of Things Traffic
Sarah Alkadi, Saad Al-Ahmadi, Mohamed Maher Ben Ismail
Journal:  Computers Volume 12, Issue 8 (2023), p. 148