| Feature selection for RF fingerprinting with multiple discriminant analysis and using ZigBee device emissions TJ Bihl, KW Bauer, MA Temple IEEE transactions on information forensics and security 11 (8), 1862-1874, 2016 | 160 | 2016 |
| Principal component reconstruction error for hyperspectral anomaly detection JA Jablonski, TJ Bihl, KW Bauer IEEE Geoscience and Remote Sensing Letters 12 (8), 1725-1729, 2015 | 71 | 2015 |
| Defining, understanding, and addressing big data TJ Bihl, WA Young II, GR Weckman International Journal of Business Analytics (IJBAN) 3 (2), 1-32, 2016 | 48 | 2016 |
| Dimensional reduction analysis for Physical Layer device fingerprints with application to ZigBee and Z-Wave devices TJ Bihl, KW Bauer, MA Temple, B Ramsey MILCOM 2015-2015 IEEE Military Communications Conference, 360-365, 2015 | 36 | 2015 |
| Ethernet card discrimination using unintentional cable emissions and constellation-based fingerprinting TJ Carbino, MA Temple, TJ Bihl 2015 International Conference on Computing, Networking and Communications …, 2015 | 22 | 2015 |
| Cyber anomaly detection: Using tabulated vectors and embedded analytics for efficient data mining RJ Gutierrez, KW Bauer, BC Boehmke, CM Saie, TJ Bihl Journal of Algorithms & Computational Technology 12 (4), 293-310, 2018 | 17 | 2018 |
| The effectiveness of using diversity to select multiple classifier systems with varying classification thresholds HK Butler IV, MA Friend, KW Bauer Jr, TJ Bihl Journal of Algorithms & Computational Technology 12 (3), 187-199, 2018 | 17 | 2018 |
| Towards the mitigation of correlation effects in anomaly detection for hyperspectral imagery JP Williams, TJ Bihl, KW Bauer The Journal of Defense Modeling and Simulation: Applications, Methodology …, 2013 | 17 | 2013 |
| QUEST Hierarchy for Hyperspectral Face Recognition DM Ryer, TJ Bihl, KW Bauer, SK and Rogers SPIE Symposium on Defense & Security, Peer Reviewed Biometrics Session …, 2011 | 16 | 2011 |
| Keys to accurate feature extraction using residual spiking neural networks A Vicente-Sola, DL Manna, P Kirkland, G Di Caterina, T Bihl Neuromorphic Computing and Engineering 2 (4), 044001, 2022 | 15 | 2022 |
| Associative memory in spiking neural network form implemented on neuromorphic hardware M Hampo, D Fan, T Jenkins, A DeMange, S Westberg, T Bihl, T Taha International Conference on Neuromorphic Systems 2020, 1-8, 2020 | 15 | 2020 |
| Easy and efficient hyperparameter optimization to address some artificial intelligence “ilities” T Bihl, J Schoenbeck, D Steeneck, J Jordan | 15 | 2020 |
| Analytics for Autonomous C4ISR within e-Government: a Research Agenda. TJ Bihl, M Talbert HICSS, 1-10, 2020 | 14 | 2020 |
| Feature extraction and feature selection for classifying cyber traffic threats KL Moore, TJ Bihl, KW Bauer Jr, TE Dube The Journal of Defense Modeling and Simulation 14 (3), 217-231, 2017 | 14 | 2017 |
| An optimization framework for generalized relevance learning vector quantization with application to Z-wave device fingerprinting T Bihl, M Temple, K Bauer | 13 | 2017 |
| Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario DL Manna, A Vicente-Sola, P Kirkland, TJ Bihl, G Di Caterina Neuromorphic Computing and Engineering 2 (4), 044009, 2022 | 12 | 2022 |
| Electricity theft concerns within advanced energy technologies TJ Bihl, S Hajjar 2017 IEEE National Aerospace and Electronics Conference (NAECON), 271-278, 2017 | 12 | 2017 |
| Big data analytics in future power systems AF Zobaa, TJ Bihl CRC Press, 2018 | 11 | 2018 |
| Finding common ground by unifying autonomy indices to understand needed capabilities T Bihl, C Cox, T Jenkins Sensors and Systems for Space Applications XI 10641, 132-149, 2018 | 11 | 2018 |
| Modeling noise in a framework to optimize the detection of anomalies in hyperspectral imaging FM Mindrup, TJ Bihl, KW Bauer Intelligent Engineering Systems through Artificial Neural Networks …, 2010 | 10 | 2010 |
William A. Young IIAssociate Professor of Business Analytics, College of Business, Ohio UniversityVerified email at ohio.edu
