An adjustable model for linear to nonlinear regression. - Tony Jan; Anthony Zaknich (IJCNN, 1999)

Performance Evaluation of an Automated Classifier of Female Facial Beauty. - Hatice Gunes; Massimo Piccardi; Tony Jan (CISST, 2003)

Suspicious Behavior Assessment for Visual Surveillance Using Neural Network Classifiers. - Tony Jan; Massimo Piccardi; Hatice Gunes (CISST, 2003)

Combination of Linear and General Regression Neural Network for Robust Short Term Financial Prediction. - Tony Jan (IDEAL, 2003)

Robust short term prediction using combination of linear regression and modified probabilistic neural network model. - Tony Jan (IJCNN, 2003)

Neural network classifiers for automated video surveillance. - Tony Jan; Massimo Piccardi; Tom Hintz (NNSP, 2003)

Face and Body Gesture Recognition for a Vision-Based Multimodal Analyzer. - Hatice Gunes; Massimo Piccardi; Tony Jan (VIP, 2003)

Face and Body Gesture Analysis for Multimodal HCI. - Hatice Gunes; Massimo Piccardi; Tony Jan (APCHI, 2004)

Mean-shift background image modelling. - Massimo Piccardi; Tony Jan (ICIP, 2004)

Neural network based threat assessment for automated visual surveillance. - Tony Jan (IJCNN, 2004)

Comparative beauty classification for pre-surgery planning. - Hatice Gunes; Massimo Piccardi; Tony Jan (SMC (3), 2004)

Efficient video object classifier using locality-enhanced support vector machines. - Tony Jan; Pohsiang Tsai; Massimo Piccardi; Tom Hintz (SMC (7), 2004)

Automated classification of female facial beauty by image analysis and supervised learning. - Hatice Gunes; Massimo Piccardi; Tony Jan (VCIP, 2004)

Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation. - Paul D. Yoo; Maria H. Kim; Tony Jan (CIMCA/IAWTIC, 2005)

Boat-generated acoustic target signal detection by use of an Adaptive Median CFAR and multi-frame integration algorithm. - Eric Dahai Cheng; Massimo Piccardi; Tony Jan (EUSIPCO, 2005)

Vector quantized radial basis function neural network with embedded multiple local linear models for financial prediction. - Tony Jan; Maria H. Kim (IJCNN, 2005)

Expression-invariant face recognition system using subspace model analysis. - Pohsiang Tsai; Tony Jan (SMC, 2005)

A multi-expert classification framework for network misuse de tection. - Tich Phuoc Tran; Tony Jan; Andrew James Simmonds (Artificial Intelligence and Soft Computing, 2006)

Combine Vector Quantization and Support Vector Machine for Imbalanced Datasets. - Ting Yu 008; John K. Debenham; Tony Jan; Simeon J. Simoff (IFIP AI, 2006)

Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion Detection. - Tich Phuoc Tran; Tony Jan (IJCNN, 2006)

Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine. - Ting Yu 008; Tony Jan; John K. Debenham; Simeon J. Simoff (IJCNN, 2006)

Kernel-based Subspace Analysis for Face Recognition. - Pohsiang Tsai; Tony Jan; Tom Hintz (IJCNN, 2007)

A Hierarchical VQSVM for Imbalanced Data Sets. - Ting Yu 008; Tony Jan; Simeon J. Simoff; John K. Debenham (IJCNN, 2007)

Facial behavior as behavior biometric? an empirical study. - Pohsiang Tsai; Tom Hintz; Tony Jan (SMC, 2007)

A Multi-expert Classification Framework with Transferable Voting for Intrusion Detection. - Tich Phuoc Tran; Pohsiang Tsai; Tony Jan (ICMLA, 2008)

An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering. - Tich Phuoc Tran; Pohsiang Tsai; Tony Jan (ICPR, 2008)

An evaluation of bi-modal facial appearance+facial expression face biometrics. - Pohsiang Tsai; Tich Phuoc Tran; Tom Hintz; Tony Jan (ICPR, 2008)

Adaptive Multiple Experts System for personal identification using facial behaviour biometrics. - Pohsiang Tsai; Tich Phuoc Tran; Tom Hintz; Tony Jan (MMSP, 2008)

A bi-modal face recognition framework integrating facial expression with facial appearance. - Pohsiang Tsai; Longbing Cao; Tom Hintz; Tony Jan (Pattern Recognit. Lett., 2009)

VQSVM: A case study for incorporating prior domain knowledge into inductive machine learning. - Ting Yu 008; Simeon J. Simoff; Tony Jan (Neurocomputing, 2010)

Ada-Boosted Locally Enhanced Probabilistic Neural Network for IoT Intrusion Detection. - Tony Jan (CISIS, 2018)

Ensemble of Semi-Supervised Models for IoT Resource Scheduling and Sharing. - Tony Jan (DASC/PiCom/DataCom/CyberSciTech, 2018)

Boosted Probabilistic Neural Network for IoT Data Classification. - Tony Jan; A. S. M. Sajeev (DASC/PiCom/DataCom/CyberSciTech, 2018)

Big Data Analytics for Electricity Price Forecast. - Ashkan Yousefi; Omid Ameri Sianaki; Tony Jan (AINA Workshops, 2019)

Ensemble of Semi-Parametric Models for IoT Fog Modeling. - Tony Jan; Saeid Iranmanesh; A. S. M. Sajeev (SSCI, 2019)

Visualization Approach for Malware Classification with ResNeXt. - Jin Ho Go; Tony Jan; Manoranjan Mohanty; Om Prakash Patel; Deepak Puthal; Mukesh Prasad (CEC, 2020)

Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting. - Ayush Agarwal; Aneesh Sreevallabh Chivukula; Monowar H. Bhuyan; Tony Jan; Bhuva Narayan; Mukesh Prasad (ICONIP (5), 2020)

Novel DTN Mobility-Driven Routing in Autonomous Drone Logistics Networks. - Saeid Iranmanesh; Raad Raad; Muhammad Salman Raheel; Faisel E. M. Tubbal; Tony Jan (IEEE Access, 2020)

Determining the Optimal Restricted Driving Zone Using Genetic Algorithm in a Smart City. - Pegah Azami; Tony Jan; Saeid Iranmanesh; Omid Ameri Sianaki; Shiva Hajiebrahimi (Sensors, 2020)

Sustainability of Load Balancing Techniques in Fog Computing Environment: Review. - Hamza Sulimani; Wael Y. Alghamdi; Tony Jan; Gnana Bharathy; Mukesh Prasad (FNC/MobiSPC, 2021)

Remote Sensing Imagery Segmentation: A Hybrid Approach. - Shreya Pare; Himanshu Mittal; Mohammad Sajid; Jagdish Chand Bansal; Amit Saxena 001; Tony Jan; Witold Pedrycz; Mukesh Prasad (Remote. Sens., 2021)

Alcoholic EEG Data Classification Using Weighted Graph-Based Technique. - Supriya; Tony Jan; Nandini Sidnal; Scott Thompson-Whiteside (HIS, 2022)

Learning Analytics for Improved Course Delivery: Applications and Techniques. - Tich Phuoc Tran; Tony Jan; Si Na Kew (ICDTE, 2022)

Deep Learning-Based Classification of Neurodegenerative Diseases Using Gait Dataset: A Comparative Study. - Zeyang Zhou; Ayush Kanwal; Kunal Chaturvedi; Rehan Raza; Shiv Prakash; Tony Jan; Mukesh Prasad (RCVE, 2023)

Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI. - Pratham Grover; Kunal Chaturvedi; Xing Zi; Amit Saxena 001; Shiv Prakash; Tony Jan; Mukesh Prasad (Algorithms, 2023)

Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT). - Anand Singh Rajawat; S. B. Goyal; Pradeep Bedi; Tony Jan; Md Whaiduzzaman; Mukesh Prasad (Future Internet, 2023)

Reinforcement optimization for decentralized service placement policy in IoT-centric fog environment. - Hamza Sulimani; Akbar Muhammad Sajjad; Wael Y. Alghamdi; Omprakash Kaiwartya; Tony Jan; Simeon Simoff; Mukesh Prasad (Trans. Emerg. Telecommun. Technol., 2023)

Epilepsy Detection from Weighted EEG Graph (WEG) Using Novel Feature- Normalized Weighted Forgotten Topological Index (NWFT-Index). - Supriya; Nandini Sidnal; Tony Jan; Scott Thompson-Whiteside (HIS, 2024)

Who is Watching Whom? Military and Civilian Drone: Vision Intelligence Investigation and Recommendations. - Amr Adel; Noor H. S. Alani; Scott Thompson-Whiteside; Tony Jan (IEEE Access, 2024)

Empowering Healthcare With IoMT: Evolution, Machine Learning Integration, Security, and Interoperability Challenges. - Pradyumna G. R.; Roopa B. Hegde; Bommegowda K. Basavarajappa; Tony Jan; Ganesh R. Naik (IEEE Access, 2024)

Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition for Enhanced Imperceptibility and Robustness. - Mahbuba Begum; Sumaita Binte Shorif; Mohammad Shorif Uddin; Jannatul Ferdush; Tony Jan; Alistair Barros; Md Whaiduzzaman (Algorithms, 2024)

Factories of the future in industry 5.0 - Softwarization, Servitization, and Industrialization. - Amr Adel; Noor H. S. Alani; Tony Jan (Internet Things, 2024)

DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features. - Shakil Rana; Md Jabed Hosen; Tasnim Jahan Tonni; Md. Awlad Hossen Rony; Kaniz Fatema; Md. Zahid Hasan; Md. Tanvir Rahman; Risala Tasin Khan; Tony Jan; Md Whaiduzzaman (Sensors, 2024)

Unmasking Banking Fraud: Unleashing the Power of Machine Learning and Explainable AI (XAI) on Imbalanced Data. - SM Nuruzzaman Nobel; Shirin Sultana; Sondip Poul Singha; Sudipto Chaki; Md. Julkar Nayeen Mahi; Tony Jan; Alistair Barros; Md Whaiduzzaman (Inf., 2024)

Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security Challenges. - Amr Adel; Tony Jan (Future Internet, 2024)

Recent Innovations in Footwear and the Role of Smart Footwear in Healthcare - A Survey. - Pradyumna G. R.; Roopa B. Hegde; Bommegowda K. Basavarajappa; Anil Kumar Bhat; Amit N. Pujari; Gaetano D. Gargiulo; Upul Gunawardana; Tony Jan; Ganesh R. Naik (Sensors, 2024)

HybOff: a Hybrid Offloading approach to improve load balancing in fog environments. - Hamza Sulimani; Rahaf Sulimani; Fahimeh Ramezani 001; Mohsen Naderpour; Huan Huo; Tony Jan; Mukesh Prasad (J. Cloud Comput., 2024)

Cyber Attack Prediction: From Traditional Machine Learning to Generative Artificial Intelligence. - Shilpa Ankalaki; Aparna Rajesh Atmakuri; M. Pallavi; Geetabai S. Hukkeri; Tony Jan; Ganesh R. Naik (IEEE Access, 2025)

Quantification of Interference Constraint for Small Cells in Low SINR Regime With Steepest Ascent Method. - Sanjeeb Shrestha; Xiaojing Huang 001; Kashif Saleem; Savitri Bevinakoppa; Tony Jan (IEEE Access, 2025)

A CIA Triad-Based Taxonomy of Prompt Attacks on Large Language Models. - Nicholas Jones; Md Whaiduzzaman; Tony Jan; Amr Adel; Ammar Alazab; Afnan Alkreisat (Future Internet, 2025)

Survey on Federated Learning for Intrusion Detection System: Concept, Architectures, Aggregation Strategies, Challenges, and Future Directions. - Ansam Khraisat; Ammar Alazab; Sarabjot Singh; Tony Jan; Alfredo Gomez Jr. (ACM Comput. Surv., 2025)

A comprehensive survey of machine learning and deep learning approaches for anomaly detection in high-performance computing systems. - Cibin Ki; Ramah Sivakumar; Jaison Paul Mulerikkal; Binu Ayyappan; Manish Gupta; Tony Jan (J. Supercomput., 2025)

Securing federated learning: a defense strategy against targeted data poisoning attack. - Ansam Khraisat; Ammar Alazab; Moutaz Alazab; Tony Jan; Sarabjot Singh; Md. Ashraf Uddin 001 (Discov. Internet Things, 2025)

Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy. - Ansam Khraisat; Ammar Alazab; Moutaz Alazab; Areej Obeidat; Sarabjot Singh; Tony Jan (Discov. Internet Things, 2025)