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ORCIDLeon Reznik
Person information
- affiliation: Rochester Institute of Technology, Department of Computer Science, NY, USA
- affiliation: University of Texas at El Paso, Department of Computer Science, TX, USA
- affiliation: Victoria University, School of Communications and Informatics, Melbourne, Australia
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2020 – today
- 2024
[c46]Sergei Chuprov, Raman Zatsarenko, Dmitrii Korobeinikov, Leon Reznik:
Robust Training on the Edge: Federated vs. Transfer Learning for Computer Vision in Intelligent Transportation Systems. AIIoT 2024: 172-178- [c45]Raman Zatsarenko, Sergei Chuprov, Dmitrii Korobeinikov, Leon Reznik:
Trust-Based Anomaly Detection in Federated Edge Learning. AIIoT 2024: 273-279 - 2023
- [c44]Sergei Chuprov, Leon Reznik, Garegin Grigoryan:
Study on Network Importance for ML End Application Robustness. ICC 2023: 6627-6632 - 2022
- [c43]Sergei Chuprov
, Leon Reznik, Igor Khokhlov, Karan Manghi:
Multi-Modal Sensor Selection with Genetic Algorithms. IEEE SENSORS 2022: 1-4 - [c42]Igor Khokhlov, Sergei Chuprov, Leon Reznik:
Integrating Security with Accuracy Evaluation in Sensors Fusion. IEEE SENSORS 2022: 1-4 - [c41]Sergei Chuprov, Igor Khokhlov, Leon Reznik, Srujan Shetty:
Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation. IJCNN 2022: 1-8 - [c40]Sergei Chuprov, Leon Reznik, Antoun Obeid, Srujan Shetty:
How Degrading Network Conditions Influence Machine Learning End Systems Performance? INFOCOM Workshops 2022: 1-6 - 2021
- [j11]Igor Khokhlov, Leon Reznik, Sergey Chuprov:
Framework for Integral Data Quality and Security Evaluation in Smartphones. IEEE Syst. J. 15(2): 2058-2065 (2021) - [c39]Sergey Chuprov, Ilya I. Viksnin, Iuliia Kim, Timofey Melnikov, Leon Reznik, Igor Khokhlov:
Improving Knowledge Based Detection of Soft Attacks Against Autonomous Vehicles with Reputation, Trust and Data Quality Service Models. SMDS 2021: 115-120 - 2020
- [j10]Hussein Alrubaye, Mohamed Wiem Mkaouer, Igor Khokhlov, Leon Reznik, Ali Ouni, Jason Mcgoff:
Learning to recommend third-party library migration opportunities at the API level. Appl. Soft Comput. 90: 106140 (2020) - [c38]Igor Khokhlov, Ninad Ligade, Leon Reznik:
Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices. IJCNN 2020: 1-8 - [c37]Sergey Chuprov, Egor Marinenkov, Ilya I. Viksnin, Leon Reznik, Igor Khokhlov:
Image Processing in Autonomous Vehicle Model Positioning and Movement Control. WF-IoT 2020: 1-6 - [c36]Igor Khokhlov, Leon Reznik:
Knowledge Graph in Data Quality Evaluation for IoT applications. WF-IoT 2020: 1-6
2010 – 2019
- 2019
- [c35]Igor Khokhlov, Leon Reznik, Rohit Bhaskar:
The Machine Learning Models for Activity Recognition Applications with Wearable Sensors. ICMLA 2019: 387-391 - [c34]Igor Khokhlov, Michael Perez, Leon Reznik:
Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices. ICMLA 2019: 1328-1333 - [c33]Igor Khokhlov, Akshay Pudage, Leon Reznik:
Sensor Selection Optimization with Genetic Algorithms. IEEE SENSORS 2019: 1-4 - [i1]Hussein Alrubaye, Mohamed Wiem Mkaouer, Igor Khokhlov, Leon Reznik, Ali Ouni, Jason Mcgoff:
Learning to Recommend Third-Party Library Migration Opportunities at the API Level. CoRR abs/1906.02882 (2019) - 2018
- [c32]Igor Khokhlov, Leon Reznik:
Android system security evaluation. CCNC 2018: 1-2 - [c31]Igor Khokhlov, Leon Reznik, Suresh Babu Jothilingam, Rohit Bhaskar:
What can data analysis recommend on design of wearable sensors? CCNC 2018: 1-2 - [c30]Igor Khokhlov, Chinmay Jain, Ben Miller-Jacobson, Andrew Heyman, Leonid K. Reznik, Robert St. Jacques:
MeetCI: A Computational Intelligence Software Design Automation Framework. FUZZ-IEEE 2018: 1-8 - [c29]Akhil Killawala, Igor Khokhlov, Leon Reznik:
Computational Intelligence Framework for Automatic Quiz Question Generation. FUZZ-IEEE 2018: 1-8 - [c28]Igor Khokhlov, Leon Reznik, Justin Cappos, Rohit Bhaskar:
Design of activity recognition systems with wearable sensors. SAS 2018: 1-6 - 2017
- [c27]Igor Khokhlov, Leon Reznik:
Colluded Applications Vulnerabilities in Android Devices. DASC/PiCom/DataCom/CyberSciTech 2017: 462-469 - [c26]Igor Khokhlov, Leon Reznik:
Data security evaluation for mobile android devices. FRUCT 2017: 154-160 - [c25]Igor Khokhlov, Leon Reznik, Ashish Kumar, Ankan Mookherjee, Rohan Dalvi:
Data security and quality evaluation framework: Implementation empirical study on android devices. FRUCT 2017: 161-168 - [c24]Michael Potter, Leon Reznik, Stanislaw P. Radziszowski:
Neural networks and the search for a quadratic residue detector. IJCNN 2017: 1887-1894 - 2015
- [j9]Andrew Heyman, Leon Reznik, Michael Negnevitsky, Andrew Hoffman:
Fuzzy System Design for Security and Environment Control Applications. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(Supplement-1): 43-56 (2015) - [j8]Konstantin K. Semenov, Leonid K. Reznik, Gennady N. Solopchenko:
Fuzzy Intervals Application for Software Metrological Certification in Measurement and Information Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(Supplement-1): 95-104 (2015) - [c23]Richard S. Weiss, Leon Reznik, Yanyan Zhuang, Andrew Hoffman, Darrell Pollard, Albert Rafetseder, Tao Li, Justin Cappos:
Trust Evaluation in Mobile Devices: An Empirical Study. TrustCom/BigDataSE/ISPA (1) 2015: 25-32 - 2013
- [c22]Leon Reznik, Elisa Bertino:
Data quality evaluation: integrating security and accuracy. CCS 2013: 1367-1370 - [c21]Jeton Bacaj, Leon Reznik:
Signal anomaly based attack detection in wireless sensor networks. CCS 2013: 1391-1394 - 2012
- [c20]Dmitri Yudanov, Leon Reznik:
Scalable multi-precision simulation of spiking neural networks on GPU with OpenCL. IJCNN 2012: 1-8 - 2011
- [j7]Roman V. Yampolskiy, Leon Reznik, Mike Adams, Joshua Harlow, Dima Novikov:
Resource awareness in computational intelligence. Int. J. Adv. Intell. Paradigms 3(3/4): 305-322 (2011) - [j6]Greg P. Timms, Paulo A. de Souza, Leon Reznik, Daniel V. Smith:
Automated Data Quality Assessment of Marine Sensors. Sensors 11(10): 9589-9602 (2011) - 2010
- [j5]Leon Reznik, Michael J. Adams, Bryan Woodard:
Intelligent Intrusion Detection Based on Genetically Tuned Artificial Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 14(6): 708-713 (2010) - [c19]Dmitri Yudanov, Muhammad Shaaban, Roy Melton, Leon Reznik:
GPU-based simulation of spiking neural networks with real-time performance & high accuracy. IJCNN 2010: 1-8
2000 – 2009
- 2008
- [j4]Dima Novikov, Roman V. Yampolskiy, Leon Reznik:
Traffic Analysis Based Identification of Attacks. Int. J. Comput. Sci. Appl. 5(2): 69-88 (2008) - [j3]Leon Reznik, Vladik Kreinovich:
Fuzzy Prediction Models in Measurement. IEEE Trans. Fuzzy Syst. 16(4): 851-862 (2008) - [c18]Leon Reznik, Gregory Von Pless:
Neural networks for cognitive sensor networks. IJCNN 2008: 1235-1241 - 2007
- [c17]Leon Reznik, Robert St. Jacques:
Fuzzy Expert System Shell Development with Computer Security Assessment Application. FUZZ-IEEE 2007: 1-6 - 2006
- [c16]James L. King, Leon Reznik:
Topology Selection for Signal Change Detection in Sensor Networks: RBF vs MLP. IJCNN 2006: 2529-2535 - [c15]Dima Novikov, Roman V. Yampolskiy, Leon Reznik:
Anomaly Detection Based Intrusion Detection. ITNG 2006: 420-425 - 2005
- [c14]Leon Reznik, Gregory Von Pless, Tayeb Al Karim:
Intelligent Protocols Based on Sensor Signal Change Detection. Systems Communications 2005: 443-448 - [c13]Leon Reznik, Gregory Von Pless, Tayeb Al Karim:
Embedding intelligent sensor signal change detection into sensor network protocols. SECON 2005: 207-217 - 2004
- [c12]Leon Reznik, Vladik Kreinovich:
Fuzzy and probabilistic models of association information in sensor networks. FUZZ-IEEE 2004: 185-189 - [c11]Gregory Von Pless, Tayeb Al Karim, Leon Reznik:
Time-based multi-layer perceptron for novelty detection in sensor networks. ICMLA 2004: 156-163 - 2003
- [c10]Leon Reznik, Vladik Kreinovich, Scott A. Starks:
Use of fuzzy expert's information in measurement and what we can gain from its application in geophysics. FUZZ-IEEE 2003: 1026-1031 - 2002
- [c9]Leonid K. Reznik:
Fuzzy system implementation through its approximation with simplified radial basis networks. FUZZ-IEEE 2002: 1186-1191 - [c8]Leon Reznik, Michael Negnevitsky:
A neuro-fuzzy method of power disturbances recognition and reduction. FUZZ-IEEE 2002: 1517-1522 - 2001
- [c7]Leon Reznik, Binh Pham:
Fuzzy Models in Evaluation of Information Uncertainty in Engineering and Technology Applications. FUZZ-IEEE 2001: 972-975 - [c6]Shane Spiteri, Leon Reznik, Paul Vilas-Boas:
Embedded Fuzzy Control for Reefer Refrigeration Systems. FUZZ-IEEE 2001: 1088-1091 - 2000
- [j2]Anthony Little, Leonid K. Reznik:
Improving the Approximation Smoothness of Radial Basis Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 4(6): 417-420 (2000) - [c5]Anthony Little, Leonid K. Reznik:
Implementation of fuzzy controllers with radial basis neural networks. FUZZ-IEEE 2000: 581-586
1990 – 1999
- 1998
- [j1]Antony T. Popov, Hung T. Nguyen, Leonid K. Reznik:
An Application of Fuzzy Mathematical Morphology to Interval-Valued Knowledge Representation: A Remark. Reliab. Comput. 4(3): 283-290 (1998) - [c4]Leon Reznik:
Intelligent sensor: an attempt to define. KES (3) 1998: 603-608 - [c3]Leon Reznik:
Fuzzy controller design: recommendations to the user. KES (3) 1998: 609-616 - 1996
- [c2]Anthony Little, Leonid K. Reznik:
Speech detection method analysis and intelligent structure development. ANZIIS 1996: 203-206 - [c1]O. Ghanayem, Leonid K. Reznik:
A novel excitation control scheme: design and implementation. ANZIIS 1996: 212-215
Coauthor Index
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last updated on 2024-07-25 20:23 CEST by the dblp team
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