2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA)
Somiya Abokadr, Azreen Azman, Hazlina Hamdan, Nurul Amelina
2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC)
Amin Amiri, Alireza Ghaffarnia, Shahnewaz Karim Sakib, Dalei Wu, Yu Liang
An enhanced strategy for minority class detection using bidirectional GRU employing penalized cross-entropy and self-attention mechanisms for imbalance network traffic
Asima Akber Abbasi, Aneela Zameer, Muhammad Asif Zahoor Raja
Journal
The European Physical Journal Plus
Volume 139,
Issue 6
(2024)
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
ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection
Lan Liu, Pengcheng Wang, Jianliang Ruan, Jun Lin, Junhan Hu
Book
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (Security and Privacy in New Computing Environments)
Volume 525
(2025),
p. 125
Cost-sensitive stacked long short-term memory with an evolutionary framework for minority class detection
Asima Akber Abbasi, Aneela Zameer, Earum Mushtaq, Muhammad Asif Zahoor Raja
Journal
Applied Soft Computing
Volume 165
(2024),
p. 112098
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)
Hybrid Model for Network Traffic Anomaly Detection Based on Parallel Two-Stage Feature Fusion
Changpeng Ji, Huan Liu, Wei Dai
Journal
IEEE Access
Volume 13
(2025),
p. 27310
Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum
Sita Sirisha Madugula, Pranav Pujar, Bharani Nammi, Shouyi Wang, Vindi M. Jayasinghe-Arachchige, Tyler Pham, Dominic Mashburn, Maria Artiles, Jin Liu
Journal
Journal of Chemical Information and Modeling
Volume 64,
Issue 12
(2024),
p. 4897
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
RETRACTED: Oversampling by genetic algorithm and k-nearest neighbors for network intrusion problem
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