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Milos Manic
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2020 – today
- 2024
- [j39]Nishan Mills, Zafar Issadeen, Amali Matharaarachchi, Tharindu R. Bandaragoda, Daswin De Silva, Andrew Jennings, Milos Manic:
A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence. Discov. Artif. Intell. 4(1): 33 (2024) - [j38]Gihan Gamage, Daswin De Silva, Nishan Mills, Damminda Alahakoon, Milos Manic:
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis. J. Big Data 11(1): 93 (2024) - [c92]Gihan Gamage, Nishan Mills, Daswin De Silva, Milos Manic, Harsha Moraliyage, Andrew Jennings, Damminda Alahakoon:
Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems. ICIT 2024: 1-6 - [c91]Sajani Ranasinghe, Daswin De Silva, Nishan Mills, Damminda Alahakoon, Milos Manic, Yen Lim, Weranja Ranasinghe:
Addressing the Productivity Paradox in Healthcare with Retrieval Augmented Generative AI Chatbots. ICIT 2024: 1-6 - 2023
- [j37]Victor Cobilean
, Harindra S. Mavikumbure
, Brady J. Mcbride, Bjorn Vaagensmith, Vivek Kumar Singh
, Ruixuan Li, Craig Rieger
, Milos Manic
:
A Review of Visualization Methods for Cyber-Physical Security: Smart Grid Case Study. IEEE Access 11: 59788-59803 (2023) - [j36]Walid Al Misba
, Harindra S. Mavikumbure
, Md Mahadi Rajib
, Daniel L. Marino
, Victor Cobilean
, Milos Manic, Jayasimha Atulasimha
:
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting. IEEE Access 11: 124725-124737 (2023) - [j35]Chathurika S. Wickramasinghe
, Daniel L. Marino
, Harindra S. Mavikumbure
, Victor Cobilean
, Timothy D. Pennington, Benny J. Varghese, Craig Rieger
, Milos Manic
:
RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. IEEE Trans. Intell. Transp. Syst. 24(12): 14051-14063 (2023) - [c90]Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic:
Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems. ICIT 2023: 1-7 - [c89]Daswin De Silva, Nishan Mills, Mona El-Ayoubi, Milos Manic, Damminda Alahakoon:
ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots. ICIT 2023: 1-6 - [c88]Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Benny J. Varghese, Timothy D. Pennington, Milos Manic:
Anomaly Detection for In-Vehicle Communication Using Transformers. IECON 2023: 1-6 - [c87]Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Benny J. Varghese, Timothy D. Pennington, Milos Manic:
DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection. IECON 2023: 1-7 - [c86]Prabod Rathnayaka, Gihan Gamage, Daswin De Silva, Damminda Alahakoon, Milos Manic:
EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion. IECON 2023: 1-4 - [c85]Gihan Gamage, Sachin Kahawala, Nishan Mills, Daswin De Silva, Milos Manic, Damminda Alahakoon, Andrew Jennings:
Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI. ISIE 2023: 1-6 - [c84]Lakshitha Gunasekara, Harsha Moraliyage, Daswin De Silva, Nishan Mills, Damminda Alahakoon, Andrew Jennings, Milos Manic:
A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. ISIE 2023: 1-6 - [c83]Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Tyler Phillips, Benny J. Varghese, Barney Carlson, Craig Rieger, Timothy D. Pennington, Milos Manic:
Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. ISIE 2023: 1-7 - [c82]Harsha Moraliyage, Dilantha Haputhanthri
, Chamod Samarajeewa, Nishan Mills, Daswin De Silva, Milos Manic, Andrew Jennings:
Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions. ISIE 2023: 1-7 - [i8]Walid Al Misba, Harindra S. Mavikumbure, Md Mahadi Rajib, Daniel L. Marino, Victor Cobilean, Milos Manic, Jayasimha Atulasimha:
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting. CoRR abs/2304.03343 (2023) - 2022
- [j34]Srdjan Lesaja
, Morgan Stuart
, Jerry J. Shih
, Pedram Zanganeh Soroush
, Tanja Schultz
, Milos Manic
, Dean J. Krusienski
:
Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals. IEEE Access 10: 133526-133538 (2022) - [j33]Haoran Zhao
, Xin Sun
, Junyu Dong, Milos Manic, Huiyu Zhou, Hui Yu
:
Dual discriminator adversarial distillation for data-free model compression. Int. J. Mach. Learn. Cybern. 13(5): 1213-1230 (2022) - [j32]Sergio Vazquez
, Daniel L. Marino
, Eduardo Zafra
, María Dolores Valdés Peña
, Juan J. Rodríguez-Andina
, Leopoldo García Franquelo
, Milos Manic
:
An Artificial Intelligence Approach for Real-Time Tuning of Weighting Factors in FCS-MPC for Power Converters. IEEE Trans. Ind. Electron. 69(12): 11987-11998 (2022) - [c81]Daswin De Silva, Rashmika Nawaratne, Jacek Ruminski, Aleksander Malinowski, Milos Manic:
Human System Interaction in Review: Advancing the Artificial Intelligence Transformation. HSI 2022: 1-5 - [c80]Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Victor Cobilean, Milos Manic:
Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. IECON 2022: 1-7 - [i7]Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic:
Self-Supervised and Interpretable Anomaly Detection using Network Transformers. CoRR abs/2202.12997 (2022) - [i6]Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic:
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data. CoRR abs/2209.02052 (2022) - 2021
- [j31]Morgan Stuart
, Milos Manic:
Deep Learning Shared Bandpass Filters for Resource-Constrained Human Activity Recognition. IEEE Access 9: 39089-39097 (2021) - [j30]Chathurika S. Wickramasinghe
, Daniel L. Marino
, Milos Manic
:
ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation. IEEE Access 9: 40511-40520 (2021) - [j29]Chathurika S. Wickramasinghe
, Kasun Amarasinghe
, Daniel L. Marino
, Craig Rieger
, Milos Manic
:
Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access 9: 131824-131843 (2021) - [j28]Daniel L. Marino
, Chathurika S. Wickramasinghe
, Vivek Kumar Singh
, Jake Gentle, Craig Rieger
, Milos Manic
:
The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. IEEE Access 9: 159475-159494 (2021) - [j27]Daniel L. Marino
, Chathurika S. Wickramasinghe
, Billy Tsouvalas
, Craig Rieger
, Milos Manic
:
Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. IEEE Access 9: 163138-163150 (2021) - [c79]Chathurika S. Wickramasinghe, Daniel L. Marino
, Milos Manic:
Deep Embedded Clustering with ResNets. HSI 2021: 1-6 - 2020
- [j26]Xiaoqiang Yan
, Yangdong Ye
, Xueying Qiu
, Milos Manic
, Hui Yu
:
CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts. IEEE Trans. Ind. Informatics 16(6): 3974-3986 (2020) - [c78]Chathurika S. Wickramasinghe, Daniel L. Marino
, Javier Grandio
, Milos Manic:
Trustworthy AI Development Guidelines for Human System Interaction. HSI 2020: 130-136 - [c77]Daniel L. Marino
, Javier Grandio
, Chathurika S. Wickramasinghe, Kyle Schroeder, Keith Bourne, Afroditi V. Filippas, Milos Manic:
AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation. HSI 2020: 155-161
2010 – 2019
- 2019
- [j25]Alfonso Damiano
, Craig Rieger
, Valeriy Vyatkin, Milos Manic
:
Resilience in Energy Industries - Recent Advances, Open Challenges, and Future Directions. IEEE Trans. Ind. Informatics 15(7): 4315-4318 (2019) - [j24]Daniel L. Marino
, Milos Manic
:
Modeling and Planning Under Uncertainty Using Deep Neural Networks. IEEE Trans. Ind. Informatics 15(8): 4442-4454 (2019) - [j23]Chathurika S. Wickramasinghe
, Kasun Amarasinghe
, Milos Manic
:
Deep Self-Organizing Maps for Unsupervised Image Classification. IEEE Trans. Ind. Informatics 15(11): 5837-5845 (2019) - [c76]Kasun Amarasinghe
, Milos Manic:
Explaining What a Neural Network has Learned: Toward Transparent Classification. FUZZ-IEEE 2019: 1-6 - [c75]Chathurika S. Wickramasinghe, Kasun Amarasinghe
, Daniel L. Marino, Zachary A. Spielman, Ira E. Pray, David Gertman, Milos Manic:
Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets. HSI 2019: 34-40 - [c74]Morgan Stuart, Chathurika S. Wickramasinghe, Daniel L. Marino, Deepak Kumbhare
, Kathryn Holloway
, Milos Manic:
Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG. HSI 2019: 143-150 - [c73]Chathurika S. Wickramasinghe, Daniel L. Marino, Fatih Yucel, Eyuphan Bulut, Milos Manic:
Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data. HSI 2019: 168-173 - [c72]Daniel L. Marino
, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic:
Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. IECON 2019: 5855-5861 - [p1]Patrick Sivils, Craig Rieger, Kasun Amarasinghe
, Milos Manic:
Integrated Cyber Physical Assessment and Response for Improved Resiliency. The Internet of Things for Smart Urban Ecosystems 2019: 51-74 - [i5]Daniel L. Marino, Milos Manic:
Combining Physics-Based Domain Knowledge and Machine Learning using Variational Gaussian Processes with Explicit Linear Prior. CoRR abs/1906.02160 (2019) - 2018
- [c71]Daniel L. Marino
, Matthew Anderson, Kevin Kenney, Milos Manic:
Interpretable Data-Driven Modeling in Biomass Preprocessing. HSI 2018: 291-297 - [c70]Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino
, Milos Manic:
Deep Self-Organizing Maps for Visual Data Mining. HSI 2018: 304-310 - [c69]Kasun Amarasinghe, Kevin Kenney, Milos Manic:
Toward Explainable Deep Neural Network Based Anomaly Detection. HSI 2018: 311-317 - [c68]Chathurika S. Wickramasinghe, Daniel L. Marino
, Kasun Amarasinghe, Milos Manic:
Generalization of Deep Learning for Cyber-Physical System Security: A Survey. IECON 2018: 745-751 - [c67]Daniel L. Marino
, Chathurika S. Wickramasinghe, Milos Manic:
An Adversarial Approach for Explainable AI in Intrusion Detection Systems. IECON 2018: 3237-3243 - [c66]Kasun Amarasinghe, Milos Manic:
Improving User Trust on Deep Neural Networks Based Intrusion Detection Systems. IECON 2018: 3262-3268 - [i4]Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic:
An Adversarial Approach for Explainable AI in Intrusion Detection Systems. CoRR abs/1811.11705 (2018) - [i3]Craig Rieger, Milos Manic:
On Critical Infrastructures, Their Security and Resilience - Trends and Vision. CoRR abs/1812.02710 (2018) - 2017
- [j22]Guillermo Navarro
, David K. Umberger, Milos Manic:
VD-IT2, Virtual Disk Cloning on Disk Arrays Using a Type-2 Fuzzy Controller. IEEE Trans. Fuzzy Syst. 25(6): 1752-1764 (2017) - [c65]Kang-Hyun Jo
, Luís Gomes
, Milos Manic, Jacek Ruminski
, Young Soo Suh:
Welcome message. HSI 2017: 1 - [c64]Howard J. Carey, Kasun Amarasinghe, Milos Manic:
Reduction of massive EEG datasets for epilepsy analysis using Artificial Neural Networks. HSI 2017: 137-143 - [c63]Patrick Sivils, Kasun Amarasinghe, Matthew Anderson, Neal Yancey, Quang Nguyen, Kevin Kenney, Milos Manic:
Dynamic user interfaces for control systems. HSI 2017: 277-283 - [c62]Morgan Stuart, Milos Manic:
Survey of progress in deep neural networks for resource-constrained applications. IECON 2017: 7259-7266 - [c61]Kasun Amarasinghe, Daniel L. Marino
, Milos Manic:
Deep neural networks for energy load forecasting. ISIE 2017: 1483-1488 - [c60]Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic:
Parallalizable deep self-organizing maps for image classification. SSCI 2017: 1-7 - 2016
- [c59]Howard J. Carey, Milos Manic, Paul Arsenovic:
Epileptic Spike Detection with EEG using artificial Neural Networks. HSI 2016: 89-95 - [c58]Lee T. Ostrom, Kelly M. Verner, Milos Manic, Kasun Amarasinghe, Dumidu Wijayasekara:
Multi-use high-technology testbed. HSI 2016: 289-295 - [c57]Kasun Amarasinghe, Patrick Sivils, Milos Manic:
EEG feature selection for thought driven robots using evolutionary Algorithms. HSI 2016: 355-361 - [c56]Daniel L. Marino
, Kasun Amarasinghe, Milos Manic:
Building energy load forecasting using Deep Neural Networks. IECON 2016: 7046-7051 - [c55]Daniel L. Marino
, Milos Manic:
Fast trajectory simplification algorithm for natural user interfaces in Robot programming by demonstration. ISIE 2016: 905-911 - [c54]Howard J. Carey, Milos Manic:
HTML web content extraction using paragraph tags. ISIE 2016: 1099-1105 - [c53]Daniel L. Marino
, Kasun Amarasinghe, Milos Manic:
Simultaneous generation-classification using LSTM. SSCI 2016: 1-8 - [i2]Daniel L. Marino, Milos Manic:
Fast Trajectory Simplification Algorithm for Natural User Interfaces in Robot Programming by Demonstration. CoRR abs/1608.07338 (2016) - [i1]Daniel L. Marino, Kasun Amarasinghe, Milos Manic:
Building Energy Load Forecasting using Deep Neural Networks. CoRR abs/1610.09460 (2016) - 2015
- [j21]Kurt W. Derr, Milos Manic:
Wireless Sensor Networks - Node Localization for Various Industry Problems. IEEE Trans. Ind. Informatics 11(3): 752-762 (2015) - [c52]Dumidu Wijayasekara, Milos Manic, David Gertman:
Data driven fuel efficient driving behavior feedback for fleet vehicles. HSI 2015: 75-81 - [c51]Dumidu Wijayasekara, Milos Manic:
Data-fusion for increasing temporal resolution of building energy management system data. IECON 2015: 4550-4555 - [c50]Kasun Amarasinghe, Dumidu Wijayasekara, Howard J. Carey, Milos Manic, Dawei He, Wei-Peng Chen:
Artificial neural networks based thermal energy storage control for buildings. IECON 2015: 5421-5426 - 2014
- [j20]Dumidu Wijayasekara, Ondrej Linda, Milos Manic, Craig Rieger:
FN-DFE: Fuzzy-Neural Data Fusion Engine for Enhanced Resilient State-Awareness of Hybrid Energy Systems. IEEE Trans. Cybern. 44(11): 2065-2075 (2014) - [j19]Todd Vollmer, Milos Manic:
Cyber-Physical System Security With Deceptive Virtual Hosts for Industrial Control Networks. IEEE Trans. Ind. Informatics 10(2): 1337-1347 (2014) - [j18]Todd Vollmer, Milos Manic, Ondrej Linda:
Autonomic Intelligent Cyber-Sensor to Support Industrial Control Network Awareness. IEEE Trans. Ind. Informatics 10(2): 1647-1658 (2014) - [j17]Dumidu Wijayasekara, Ondrej Linda, Milos Manic, Craig Rieger:
Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions. IEEE Trans. Ind. Informatics 10(3): 1829-1840 (2014) - [c49]Dumidu Wijayasekara, Milos Manic:
Data driven fuzzy membership function generation for increased understandability. FUZZ-IEEE 2014: 133-140 - [c48]Kevin McCarty, Milos Manic:
Fuzzy Contexts (Type C) and fuzzymorphism to solve situational discontinuity problems. FUZZ-IEEE 2014: 689-694 - [c47]Milos Manic, Dumidu Wijayasekara, Kasun Amarasinghe, Joel D. Hewlett, Kevin Handy, Christopher Becker, Bruce Patterson, Robert Peterson:
Next Generation Emergency Communication Systems via Software Defined Networks. GREE 2014: 1-8 - [c46]Kevin McCarty, Milos Manic:
A database driven memetic algorithm for fuzzy set optimization. HSI 2014: 26-31 - [c45]Dumidu Wijayasekara, Milos Manic, David Gertman:
Driving behavior prompting framework for improving fuel efficiency. HSI 2014: 55-60 - [c44]Kasun Amarasinghe, Dumidu Wijayasekara, Milos Manic:
EEG based brain activity monitoring using Artificial Neural Networks. HSI 2014: 61-66 - [c43]Dumidu Wijayasekara, Milos Manic:
Fuzzy logic based force-feedback for obstacle collision avoidance of robot manipulators. HSI 2014: 76-81 - [c42]Dumidu Wijayasekara, Milos Manic, Miles McQueen:
Vulnerability identification and classification via text mining bug databases. IECON 2014: 3612-3618 - [c41]Dumidu Wijayasekara, Milos Manic:
Dynamic fuzzy force field based force-feedback for collision avoidance in robot manipulators. IECON 2014: 3997-4003 - [c40]Ondrej Linda, Dumidu Wijayasekara, Milos Manic, Miles McQueen:
Optimal placement of Phasor Measurement Units in power grids using Memetic Algorithms. ISIE 2014: 2035-2041 - [c39]Kasun Amarasinghe, Dumidu Wijayasekara, Milos Manic:
Neural Network based downscaling of Building Energy Management System data. ISIE 2014: 2670-2675 - [c38]Viviana Molano, Carlos Alberto Cobos Lozada
, Martha Mendoza, Enrique Herrera-Viedma, Milos Manic:
Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes. MICAI (1) 2014: 80-91 - 2013
- [j16]Carlos Alberto Cobos Lozada, Martha Mendoza, Elizabeth León, Milos Manic, Enrique Herrera-Viedma:
TopicSearch - Personalized Web Clustering Engine Using Semantic Query Expansion, Memetic Algorithms and Intelligent Agents. Polibits 47: 31-45 (2013) - [j15]Kurt W. Derr, Milos Manic:
Wireless Sensor Network Configuration - Part I: Mesh Simplification for Centralized Algorithms. IEEE Trans. Ind. Informatics 9(3): 1717-1727 (2013) - [j14]Kurt W. Derr, Milos Manic:
Wireless Sensor Network Configuration - Part II: Adaptive Coverage for Decentralized Algorithms. IEEE Trans. Ind. Informatics 9(3): 1728-1738 (2013) - [j13]Kurt W. Derr, Milos Manic:
Adaptive Control Parameters for Dispersal of Multi-Agent Mobile Ad Hoc Network (MANET) Swarms. IEEE Trans. Ind. Informatics 9(4): 1900-1911 (2013) - [c37]Dumidu Wijayasekara, Milos Manic, Miles McQueen:
Information gain based dimensionality selection for classifying text documents. IEEE Congress on Evolutionary Computation 2013: 440-445 - [c36]Dumidu Wijayasekara, Milos Manic:
Human machine interaction via brain activity monitoring. HSI 2013: 103-109 - [c35]Kevin McCarty, Milos Manic, Allan Gagnon:
A fuzzy framework with modeling language for type 1 and type 2 application development. HSI 2013: 334-341 - [c34]Carlos Alberto Cobos Lozada
, Martha Mendoza, Milos Manic, Elizabeth León, Enrique Herrera-Viedma:
Clustering of web search results based on an Iterative Fuzzy C-means Algorithm and Bayesian Information Criterion. IFSA/NAFIPS 2013: 507-512 - [c33]Ondrej Linda, Milos Manic, Annarita Giani, Miles McQueen:
Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average. ISIE 2013: 1-8 - [c32]Dumidu Wijayasekara, Ondrej Linda, Milos Manic:
Shadowed Type-2 Fuzzy Logic Systems. T2FUZZ 2013: 15-22 - 2012
- [j12]Ondrej Linda, Milos Manic:
Monotone Centroid Flow Algorithm for Type Reduction of General Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 20(5): 805-819 (2012) - [j11]Ondrej Linda, Milos Manic:
General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 20(5): 883-897 (2012) - [j10]Milos Manic, Honghai Liu, Adam Slowik
, Bogdan M. Wilamowski:
Introduction to the Special Section on Intelligent Systems. IEEE Trans. Ind. Electron. 59(8): 3046-3048 (2012) - [j9]Xinghuo Yu
, Okyay Kaynak, Milos Manic:
Guest Editorial Special Section on Soft Computing in Industrial Informatics. IEEE Trans. Ind. Informatics 8(4): 731-732 (2012) - [c31]Ondrej Linda, Milos Manic, Miles McQueen:
Improving Control System Cyber-State Awareness Using Known Secure Sensor Measurements. CRITIS 2012: 46-58 - [c30]Ondrej Linda, Milos Manic:
On the accuracy of input-output uncertainty modeling with interval Type-2 Fuzzy Logic Systems. FUZZ-IEEE 2012: 1-7 - [c29]Ondrej Linda, Milos Manic:
Shadowed Type-2 Fuzzy Sets -Type-2 Fuzzy Sets with shadowed secondary membership functions. FUZZ-IEEE 2012: 1-8 - [c28]Dumidu Wijayasekara, Milos Manic, Jason L. Wright
, Miles McQueen:
Mining Bug Databases for Unidentified Software Vulnerabilities. HSI 2012: 89-96 - [c27]Ondrej Linda, Milos Manic:
Improving Vehicle Fleet Fuel Economy via Learning Fuel-Efficient Driving Behaviors. HSI 2012: 137-143 - [c26]Udhay Ravishankar, Milos Manic:
Iterative Learning Heuristic Dynamic Programming (ILHDP) design of a Steam Power Plant Controller. IECON 2012: 1362-1367 - [c25]Udhay Ravishankar, Milos Manic:
The Adaptive Critic Learning Agent (ACLA) algorithm: Towards problem independent neural network based optimizers. IJCNN 2012: 1-7 - [c24]Dumidu Wijayasekara, Milos Manic:
Visual, linguistic data mining using Self- Organizing Maps. IJCNN 2012: 1-8 - [c23]Udhay Ravishankar, Milos Manic:
A Direct Utility Adaptive Critic (DUAC) algorithm for power plant load management. ISIE 2012: 786-791 - 2011
- [j8]Ondrej Linda, Milos Manic:
Interval Type-2 fuzzy voter design for fault tolerant systems. Inf. Sci. 181(14): 2933-2950 (2011) - [j7]Ondrej Linda, Milos Manic:
Self-Organizing Fuzzy Haptic Teleoperation of Mobile Robot Using Sparse Sonar Data. IEEE Trans. Ind. Electron. 58(8): 3187-3195 (2011) - [j6]Ondrej Linda, Milos Manic:
Fuzzy Force-Feedback Augmentation for Manual Control of Multirobot System. IEEE Trans. Ind. Electron. 58(8): 3213-3220 (2011) - [j5]Guillermo Navarro, Milos Manic:
FuSnap: Fuzzy Control of Logical Volume Snapshot Replication for Disk Arrays. IEEE Trans. Ind. Electron. 58(9): 4436-4444 (2011) - [j4]Kurt W. Derr, Milos Manic:
Extended Virtual Spring Mesh (EVSM): The Distributed Self-Organizing Mobile Ad Hoc Network for Area Exploration. IEEE Trans. Ind. Electron. 58(12): 5424-5437 (2011) - [j3]Ondrej Linda, Milos Manic:
Uncertainty-Robust Design of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot. IEEE Trans. Ind. Informatics 7(4): 661-670 (2011) - [j2]Ondrej Linda, Milos Manic:
Online Spatio-Temporal Risk Assessment for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 12(1): 194-200 (2011) - [c22]Todd Vollmer, Jim Alves-Foss, Milos Manic:
Autonomous rule creation for intrusion detection. CICS 2011: 1-8 - [c21]Ondrej Linda, Milos Manic, Todd Vollmer, Jason L. Wright
:
Fuzzy logic based anomaly detection for embedded network security cyber sensor. CICS 2011: 202-209 - [c20]Ondrej Linda, Milos Manic:
Centroid density of interval type-2 fuzzy sets: Comparing stochastic and deterministic defuzzification. FUZZ-IEEE 2011: 1560-1567 - [c19]Udhay Ravishankar, Milos Manic:
A hardware suitable Integrated Neural System for Autonomous Vehicles - Road Structuring and Path Tracking. IJCNN 2011: 2024-2030 - [c18]Dumidu Wijayasekara, Ondrej Linda, Milos Manic:
CAVE-SOM: Immersive visual data mining using 3D Self-Organizing Maps. IJCNN 2011: 2471-2478 - [c17]Ondrej Linda, Milos Manic:
Uncertainty modeling for interval Type-2 Fuzzy Logic Systems based on sensor characteristics. T2FUZZ 2011: 31-37 - 2010
- [c16]Ondrej Linda, Milos Manic:
Importance sampling based defuzzification for general type-2 fuzzy sets. FUZZ-IEEE 2010: 1-7 - [c15]Jason L. Wright
, Milos Manic:
Neural network architecture selection analysis with application to cryptography location. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c14]Gregory Hauser, Milos Manic:
Neural Network Real Time Video Processor for Early Aircraft Detection. ETFA 2009: 1-4 - [c13]Jason L. Wright
, Milos Manic:
Neural Network Approach to Locating Cryptography in Object Code. ETFA 2009: 1-4 - [c12]Ondrej Linda, Milos Manic:
GNG-SVM framework - classifying large datasets with Support Vector Machines using Growing Neural Gas. IJCNN 2009: 1820-1826 - [c11]Ondrej Linda, Todd Vollmer, Milos Manic:
Neural Network based Intrusion Detection System for critical infrastructures. IJCNN 2009: 1827-1834 - 2008
- [c10]Kevin McCarty, Milos Manic, Sergiu-Dan Stan:
Contextual Data Rule Generation For Autonomous Vehicle Control. SCSS (1) 2008: 123-128 - [c9]Sergiu-Dan Stan, Grigore Gogu, Milos Manic, Radu Balan, Ciprian Rad:
Fuzzy Control of a 3 Degree of Freedom Parallel Robot. EIAT/IETA 2008: 437-442 - [c8]Kevin McCarty, Milos Manic:
Descending Deviation Optimization techniques for scheduling problems. ETFA 2008: 257-260 - [c7]Kurt W. Derr, Milos Manic:
DSTiPE algorithm for fuzzy spatio-temporal risk calculation in wireless environments. ETFA 2008: 1161-1164 - [c6]Sergiu-Dan Stan, Milos Manic, Vistrian Maties, Radu Balan:
A Novel Virtual Reality Robot Interface for Isoglide3 Parallel Robot. ICIRA (1) 2008: 1265-1275 - 2007
- [c5]Kurt W. Derr, Milos Manic:
Intelligent control in automation based on wireless traffic analysis. ETFA 2007: 249-256 - [c4]Guillermo Navarro, Milos Manic:
Fuzzy control of sparing in disk arrays. ETFA 2007: 1441-1444 - [c3]Guillermo Navarro, Milos Manic:
Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic. IJCNN 2007: 2421-2426 - [c2]Donald D. Dudenhoeffer, May R. Permann, Steven Woolsey, Robert Timpany, Chuck Miller, Anthony McDermott, Milos Manic:
Interdependency modeling and emergency response. SCSC 2007: 1230-1237 - 2006
- [j1]Robert E. Hiromoto, Milos Manic:
Information-based Algorithmic Design of a Neural Network Classifier. Int. J. Comput. 5(3): 87-98 (2006) - [c1]Donald D. Dudenhoeffer, May R. Permann, Milos Manic:
CIMS: a framework for infrastructure interdependency modeling and analysis. WSC 2006: 478-485
Coauthor Index
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