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
2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT)
2025 International Conference on New Trends in Computing Sciences (ICTCS)
Sawsan Alodibat, Mouhammd Alkasassbeh
Conference
(2025),
p. 133
A Two-Stage Deep Learning Framework Based on Device Address Features for Network Intrusion Detection
Yan Fan, Yuxin Ma, Xingbo Liu, Jun Ma
Book
Lecture Notes in Networks and Systems (Proceedings of 17th International Conference on Machine Learning and Computing)
Volume 1476
(2025),
p. 595
A Unified Framework for Hybrid Network Intrusion Detection
Yan Wang, Sheng Cao, Jingwei Li, Xiaosong Zhang
Journal
IEEE Transactions on Network and Service Management
Volume 22,
Issue 6
(2025),
p. 5328
An Oversampling-Enhanced Multi-Class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-Reported Outcomes
Yang Yan, Zhong Chen, Cai Xu, Xinglei Shen, Jay Shiao, John Einck, Ronald C. Chen, Hao Gao
Journal
IEEE Access
Volume 13
(2025),
p. 175479
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)
Augmented visualization of class–cluster match in patient similarity networks
Ondrej Janca, Arootin Gharibian, Eliska Ochodkova, Eva Kriegova, Milos Kudelka
Journal
Applied Network Science
Volume 10,
Issue 1
(2025)
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)
Class Dominancy Profiles in Multi-class and Multi-cluster Similarity Networks
Ondrej Janca, Arootin Gharibian, Eliska Ochodkova, Eva Kriegova, Milos Kudelka
Book
Studies in Computational Intelligence (Complex Networks & Their Applications XIII)
Volume 1190
(2025),
p. 15
Classification of individual dairy cow behaviors using accelerometer, gyroscope, and integrated sensor models
Khamta Pongsanun, Tadsorn Apirak, Leklerdsiriwong Aekaluck, Chunithipaisan Sanphet, Inchaisri Chaidate
Journal
BMC Veterinary Research
Volume 21,
Issue 1
(2025)
Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets
Saeed Ullah, Junsheng Wu, Zhijun Lin, Mian Muhammad Kamal, Hala Mostafa, Muhammad Sheraz, Teong Chee Chuah
Journal
Scientific Reports
Volume 15,
Issue 1
(2025)
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
Computer-aided discovery of CDK16 inhibitors: a docking-augmented machine learning regression modelling approach
Taqwa Alfararjeh, Safa Dauod, Mamon Hatmal, Ahmed Adel, Mutasem O. Taha
Journal
Journal of Computer-Aided Molecular Design
Volume 40,
Issue 1
(2026)
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
Enhancing the Network Intrusion Detection Using CNN–BiLSTM: A Comparative Study with CNN–Stacked LSTM and MLP–GRU Architectures
Ajay Kumar Kushwaha, Pawan Kumar Tiwari
Book
Lecture Notes in Networks and Systems (Next-Generation Networks and Deployable Artificial Intelligence)
Volume 1794
(2026),
p. 413
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
Improving Multi-Class Classification for Recognition of the Prioritized Classes Using the Analytic Hierarchy Process
Algimantas Venčkauskas, Jevgenijus Toldinas, Nerijus Morkevičius
Journal
Applied Sciences
Volume 15,
Issue 13
(2025),
p. 7071
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
Multi-class Classification on Network Traffic Data: Evaluation with a Multi-class APT Dataset
Mamoqenelo P. Morolong, Fungai Bhunu Shava, Attlee M. Gamundani
Book
Learning and Analytics in Intelligent Systems (Data Science and Big Data Analytics)
Volume 43
(2025),
p. 679
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