default search action
Milos Manic
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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) - [c94]Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Devin Drake, Milos Manic:
Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats. HSI 2024: 1-8 - [c93]Chamod Samarajeewa, Daswin De Silva, Evgeny Osipov, Damminda Alahakoon, Milos Manic:
Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation. HSI 2024: 1-6 - [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
A Review of Visualization Methods for Cyber-Physical Security: Smart Grid Case Study. IEEE Access 11: 59788-59803 (2023) - [j36]Walid Al Misba
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting. IEEE Access 11: 124725-124737 (2023) - [j35]Chathurika S. Wickramasinghe
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
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
Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. ISIE 2023: 1-7 - [c82]Harsha Moraliyage, Dilantha Haputhanthri
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
Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals. IEEE Access 10: 133526-133538 (2022) - [j33]Haoran Zhao
Dual discriminator adversarial distillation for data-free model compression. Int. J. Mach. Learn. Cybern. 13(5): 1213-1230 (2022) - [j32]Sergio Vazquez
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
Deep Learning Shared Bandpass Filters for Resource-Constrained Human Activity Recognition. IEEE Access 9: 39089-39097 (2021) - [j30]Chathurika S. Wickramasinghe
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
Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access 9: 131824-131843 (2021) - [j28]Daniel L. Marino
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
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
Deep Embedded Clustering with ResNets. HSI 2021: 1-6 - 2020
- [j26]Xiaoqiang Yan
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
Trustworthy AI Development Guidelines for Human System Interaction. HSI 2020: 130-136 - [c77]Daniel L. Marino
AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation. HSI 2020: 155-161
2010 – 2019
- 2019
- [j25]Alfonso Damiano
Resilience in Energy Industries - Recent Advances, Open Challenges, and Future Directions. IEEE Trans. Ind. Informatics 15(7): 4315-4318 (2019) - [j24]Daniel L. Marino
Modeling and Planning Under Uncertainty Using Deep Neural Networks. IEEE Trans. Ind. Informatics 15(8): 4442-4454 (2019) - [j23]Chathurika S. Wickramasinghe
Deep Self-Organizing Maps for Unsupervised Image Classification. IEEE Trans. Ind. Informatics 15(11): 5837-5845 (2019) - [c76]Kasun Amarasinghe
Explaining What a Neural Network has Learned: Toward Transparent Classification. FUZZ-IEEE 2019: 1-6 - [c75]Chathurika S. Wickramasinghe, Kasun Amarasinghe
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
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
Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. IECON 2019: 5855-5861 - [p1]Patrick Sivils, Craig Rieger, Kasun Amarasinghe
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
Interpretable Data-Driven Modeling in Biomass Preprocessing. HSI 2018: 291-297 - [c70]Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino
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
Generalization of Deep Learning for Cyber-Physical System Security: A Survey. IECON 2018: 745-751 - [c67]Daniel L. Marino
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
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
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
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
Building energy load forecasting using Deep Neural Networks. IECON 2016: 7046-7051 - [c55]Daniel L. Marino
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
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
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
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
Introduction to the Special Section on Intelligent Systems. IEEE Trans. Ind. Electron. 59(8): 3046-3048 (2012) - [j9]Xinghuo Yu
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: