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Tony Jan
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2020 – today
- 2025
- [j17]Ansam Khraisat, Ammar Alazab, Sarabjot Singh, Tony Jan, Alfredo Gomez Jr.:
Survey on Federated Learning for Intrusion Detection System: Concept, Architectures, Aggregation Strategies, Challenges, and Future Directions. ACM Comput. Surv. 57(1): 7:1-7:38 (2025) - 2024
- [j16]Pradyumna G. R.
, Roopa B. Hegde
Empowering Healthcare With IoMT: Evolution, Machine Learning Integration, Security, and Interoperability Challenges. IEEE Access 12: 20603-20623 (2024) - [j15]Amr Adel, Noor H. S. Alani, Scott Thompson-Whiteside, Tony Jan:
Who is Watching Whom? Military and Civilian Drone: Vision Intelligence Investigation and Recommendations. IEEE Access 12: 177236-177276 (2024) - [j14]Mahbuba Begum
Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition for Enhanced Imperceptibility and Robustness. Algorithms 17(1): 32 (2024) - [j13]Amr Adel
Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security Challenges. Future Internet 16(7): 250 (2024) - [j12]SM Nuruzzaman Nobel
Unmasking Banking Fraud: Unleashing the Power of Machine Learning and Explainable AI (XAI) on Imbalanced Data. Inf. 15(6): 298 (2024) - [j11]Hamza Sulimani
HybOff: a Hybrid Offloading approach to improve load balancing in fog environments. J. Cloud Comput. 13(1): 113 (2024) - [j10]Shakil Rana
DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features. Sensors 24(9): 2830 (2024) - [j9]Pradyumna G. R.
Recent Innovations in Footwear and the Role of Smart Footwear in Healthcare - A Survey. Sensors 24(13): 4301 (2024) - 2023
- [j8]Pratham Grover
Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI. Algorithms 16(8): 377 (2023) - [j7]Hamza Sulimani
Reinforcement optimization for decentralized service placement policy in IoT-centric fog environment. Trans. Emerg. Telecommun. Technol. 34(11) (2023) - [j6]Anand Singh Rajawat
Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT). Future Internet 15(8): 271 (2023) - [c36]Zeyang Zhou
Deep Learning-Based Classification of Neurodegenerative Diseases Using Gait Dataset: A Comparative Study. RCVE 2023: 59-64 - 2022
- [c35]Supriya
Alcoholic EEG Data Classification Using Weighted Graph-Based Technique. HIS 2022: 266-276 - [c34]Tich Phuoc Tran
Learning Analytics for Improved Course Delivery: Applications and Techniques. ICDTE 2022: 100-106 - 2021
- [j5]Shreya Pare
Remote Sensing Imagery Segmentation: A Hybrid Approach. Remote. Sens. 13(22): 4604 (2021) - [c33]Hamza Sulimani
Sustainability of Load Balancing Techniques in Fog Computing Environment: Review. FNC/MobiSPC 2021: 93-101 - 2020
- [j4]Saeid Iranmanesh
Novel DTN Mobility-Driven Routing in Autonomous Drone Logistics Networks. IEEE Access 8: 13661-13673 (2020) - [j3]Pegah Azami, Tony Jan
Determining the Optimal Restricted Driving Zone Using Genetic Algorithm in a Smart City. Sensors 20(8): 2276 (2020) - [c32]Jin Ho Go, Tony Jan
Visualization Approach for Malware Classification with ResNeXt. CEC 2020: 1-7 - [c31]Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting. ICONIP (5) 2020: 113-120
2010 – 2019
- 2019
- [c30]Ashkan Yousefi, Omid Ameri Sianaki
Big Data Analytics for Electricity Price Forecast. AINA Workshops 2019: 915-922 - [c29]Tony Jan
Ensemble of Semi-Parametric Models for IoT Fog Modeling. SSCI 2019: 2995-2998 - 2018
- [c28]Tony Jan
Ada-Boosted Locally Enhanced Probabilistic Neural Network for IoT Intrusion Detection. CISIS 2018: 583-589 - [c27]Tony Jan
Ensemble of Semi-Supervised Models for IoT Resource Scheduling and Sharing. DASC/PiCom/DataCom/CyberSciTech 2018: 376-378 - [c26]Tony Jan
Boosted Probabilistic Neural Network for IoT Data Classification. DASC/PiCom/DataCom/CyberSciTech 2018: 408-411 - 2010
- [j2]Ting Yu, Simeon J. Simoff, Tony Jan
VQSVM: A case study for incorporating prior domain knowledge into inductive machine learning. Neurocomputing 73(13-15): 2614-2623 (2010)
2000 – 2009
- 2009
- [j1]Pohsiang Tsai, Longbing Cao
A bi-modal face recognition framework integrating facial expression with facial appearance. Pattern Recognit. Lett. 30(12): 1096-1109 (2009) - 2008
- [c25]Tich Phuoc Tran
A Multi-expert Classification Framework with Transferable Voting for Intrusion Detection. ICMLA 2008: 877-882 - [c24]Tich Phuoc Tran
An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering. ICPR 2008: 1-4 - [c23]Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz, Tony Jan
An evaluation of bi-modal facial appearance+facial expression face biometrics. ICPR 2008: 1-5 - [c22]Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz, Tony Jan
Adaptive Multiple Experts System for personal identification using facial behaviour biometrics. MMSP 2008: 660-665 - 2007
- [c21]Ting Yu, Tony Jan
A Hierarchical VQSVM for Imbalanced Data Sets. IJCNN 2007: 518-523 - [c20]Pohsiang Tsai, Tony Jan
Kernel-based Subspace Analysis for Face Recognition. IJCNN 2007: 1127-1132 - [c19]Pohsiang Tsai, Tom Hintz, Tony Jan
Facial behavior as behavior biometric? an empirical study. SMC 2007: 3917-3922 - 2006
- [c18]Tich Phuoc Tran, Tony Jan, Andrew James Simmonds:
A multi-expert classification framework for network misuse de tection. Artificial Intelligence and Soft Computing 2006: 203-208 - [c17]Ting Yu, John K. Debenham, Tony Jan
Combine Vector Quantization and Support Vector Machine for Imbalanced Datasets. IFIP AI 2006: 81-88 - [c16]Tich Phuoc Tran
Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion Detection. IJCNN 2006: 2354-2361 - [c15]Ting Yu, Tony Jan, John K. Debenham, Simeon J. Simoff:
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine. IJCNN 2006: 2993-2998 - 2005
- [c14]Paul D. Yoo, Maria H. Kim, Tony Jan:
Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation. CIMCA/IAWTIC 2005: 835-841 - [c13]Eric Dahai Cheng, Massimo Piccardi, Tony Jan:
Boat-generated acoustic target signal detection by use of an Adaptive Median CFAR and multi-frame integration algorithm. EUSIPCO 2005: 1-4 - [c12]Pohsiang Tsai, Tony Jan:
Expression-invariant face recognition system using subspace model analysis. SMC 2005: 1712-1717 - 2004
- [c11]Hatice Gunes, Massimo Piccardi
Face and Body Gesture Analysis for Multimodal HCI. APCHI 2004: 583-588 - [c10]Massimo Piccardi
Mean-shift background image modelling. ICIP 2004: 3399-3402 - [c9]Hatice Gunes, Massimo Piccardi
Comparative beauty classification for pre-surgery planning. SMC (3) 2004: 2168-2174 - [c8]Tony Jan
Efficient video object classifier using locality-enhanced support vector machines. SMC (7) 2004: 6373-6377 - [c7]Hatice Gunes, Massimo Piccardi
Automated classification of female facial beauty by image analysis and supervised learning. VCIP 2004 - 2003
- [c6]Hatice Gunes, Massimo Piccardi, Tony Jan:
Performance Evaluation of an Automated Classifier of Female Facial Beauty. CISST 2003: 652-656 - [c5]Tony Jan, Massimo Piccardi, Hatice Gunes:
Suspicious Behavior Assessment for Visual Surveillance Using Neural Network Classifiers. CISST 2003: 657-664 - [c4]Tony Jan:
Combination of Linear and General Regression Neural Network for Robust Short Term Financial Prediction. IDEAL 2003: 228-235 - [c3]Tony Jan
Neural network classifiers for automated video surveillance. NNSP 2003: 729-738 - [c2]Hatice Gunes, Massimo Piccardi, Tony Jan:
Face and Body Gesture Recognition for a Vision-Based Multimodal Analyzer. VIP 2003: 19-28
1990 – 1999
- 1999
- [c1]Tony Jan, Anthony Zaknich:
An adjustable model for linear to nonlinear regression. IJCNN 1999: 846-850
Coauthor Index
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