Cited by 16
Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets

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An enhanced strategy for minority class detection using bidirectional GRU employing penalized cross-entropy and self-attention mechanisms for imbalance network traffic
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Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study
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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
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ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection
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Cost-sensitive stacked long short-term memory with an evolutionary framework for minority class detection
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Discovery of new STAT3 inhibitors as anticancer agents using ligand-receptor contact fingerprints and docking-augmented machine learning
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Feature selection and its combination with data over-sampling for multi-class imbalanced datasets
Chih-Fong Tsai, Kuan-Chen Chen, Wei-Chao Lin
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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
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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
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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
Wattana Jindaluang
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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