Monica Nicolescu - Publications

  • Francois Michaud, Monica Nicolescu, "Behavior-Based Robotics", In Bruno Siciliano, Oussama Khatib (Ed.), Springer Handbook of Robotics, (in press), 2014.
  • Richard Kelley, Alireza Tavakkoli, Chris King, Amol Ambardekar, Liesl Wigand, Monica Nicolescu, Mircea Nicolescu, "Intent Recognition for Human-Robot Interaction", in Plan, Activity, and Intent Recognition, Gita Sukthankar, Christopher Geib, Hung Hai Bui, David Pynadath and Robert Goldman Editors, Elsevier, pp. 343-365, 2013. [Link]
  • Richard Kelley, Alireza Tavakkoli, Christopher King, Monica Nicolescu, Mircea Nicolescu, "Understanding Activities and Intentions for Human-Robot Interaction", in Advances in Human-Robot Interaction, Daisuke Chugo (editor), In-Tech, pages 288-305, February 2010. [PDF]
  • Sara Nasser, Adrienne Breland, Frederick C. Harris Jr., Monica Nicolescu, and Gregory L. Vert, "Fuzzy Genome Sequence Assembly for Single and Environmental Genomes", in Fuzzy Systems in Bioinformatics, Bioengineering and Computational Biology, Springer Book Series on Studies in Computational Intelligence, 2009. [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Task Learning Through Imitation and Human-Robot Interaction", in Models and Mechanisms of Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions, Kerstin Dautenhahn and Chrystopher Nehaniv Eds., pages 407-424, 2006. [PDF]
  • Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, “A One-Shot Next Best View System for Active Object Recognition”, Applied Intelligence, vol. 52, pages 1-20, Springer, March 2022.
  • Shuvo Kumar Paul, Pourya Hoseini, Arjun Vettath Gopinath, Mircea Nicolescu, Monica Nicolescu, “Integration of Multimodal Inputs and Interaction Interfaces for Generating Reliable Human-Robot Collaborative Task Configurations”, International Journal of Computers and Their Applications, vol. 29, nr. 2, pages 97-110, June 2022.
  • Logan Carlson, Dalton Navalta, Monica Nicolescu, Mircea Nicolescu, Gail Woodward, “Early Classification of Intent for Maritime Domains using Multinomial Hidden Markov Models”, Frontiers in Artificial Intelligence – Special Issue on Advances in Goal, Plan and Activity Recognition, vol. 4, pages 1-11, October 2021.
  • Shuvo Kumar Paul, Pourya Hoseini, Mircea Nicolescu, Monica Nicolescu, "Performance Analysis of Keypoint Detectors and Binary Descriptors under Varying Degrees of Photometric and Geometric Transformations", Journal of Image and Graphics, vol. 9, no. 1, pages 1-8, March 2021.
  • Santosh Balajee Banisetty, Scott Forer, Logan Yliniemi, Monica Nicolescu, and David Feil-Seifer, “Socially Aware Navigation: A Non-linear Multi-objective Optimization Approach,” ACM Transactions on Interactive Intelligent Systems, vol. 11, no. 2, Article 15, July 2021.
  • Touqeer Ahmad, George Bebis, Monica Nicolescu, Ara Nefian, Terry Fong, “Horizon line detection using supervised learning and edge cues,” in Computer Vision and Image Understanding, Volume 191, February 2020.
  • Pourya Hoseini, Janelle Blankenburg, Mircea Nicolescu, Monica Nicolescu, David Feil-Seifer, "Active Eye-in-Hand Data Management to Improve the Robotic Object Detection Performance", Computers - Special Issue on Vision, Image and Signal Processing, vol.8, no. 4, pages 1-17, September 2019.
  • Banafsheh Rekabdar, Luke Fraser, Monica Nicolescu, Mircea Nicolescu, "A Real-Time Spike-Timing Classifier of Spatio-Temporal Patterns", Neurocomputing, vol. 311, pages 183-196, October 2018.
  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, Sushil Louis, "Using Patterns of Firing Neurons in Spiking Neural Networks for Learning and Early Recognition of Spatio-Temporal Patterns", Neural Computing and Applications – Special Issue on Computational Intelligence for Vision and Robotics, vol. 28, nr. 5, pages 881-897, May 2017.
  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, Mohammad Taghi Saffar, Richard Kelley, "A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns using Spiking Neural Networks", Neural Processing Letters, vol. 43, no. 2, pages 327-343, April 2016.
  • Mohammad Saffar, Mircea Nicolescu, Monica Nicolescu, Banafsheh Rekabdar, “Intent Understanding Using an Activation Spreading Architecture,” Robotics – Special Issue on Representations and Reasoning for Robotics, vol. 4, no. 3, pages 284-315, July 2015.
  • Banafsheh Rekabdar, Monica Nicolescu, Richard Kelley, Mircea Nicolescu, "An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks", in Journal of Intelligent and Robotic Systems, January 2015. [LINK]
  • Abbas Roayaei Ardakany, Mircea Nicolescu, Monica Nicolescu, "Improving Gender Classification Using an Extended Set of Local Binary Pattern", in International Journal of Multimedia Data Engineering and Management, vol. 5, no. 3, pages 47-66, July-September 2014.[LINK]
  • Amol Ambardekar, Mircea Nicolescu, George Bebis and Monica Nicolescu, "Vehicle Classification Framework: A Comparative Study", Journal on Image and Video Processing, 2014:29, pages 1-13, Springer, June 2014. [LINK]
  • Monica Nicolescu, "Improving the modeling of dog-owner interactions for the design of social robots", in Interactive Studies Journal, vol. 15, no 2, pages 180-183, 2014. [PDF]
  • Bradford Towle Jr, and Monica Nicolescu, "An Auction Behavior-Based Robotic Architecture for Service Robotics", in Intelligent Service Robotics, 1-18, 2014. [PDF] [LINK]
  • Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica Nicolescu, "Visual Traffic Surveillance Framework: Classification to Event Detection", Journal of Electronic Imaging - Special Issue on Video Surveillance and Transportation Imaging Applications, vol. 22, no. 4, pages 1-17, October-December 2013. [PDF]
  • Richard Kelley, Alireza Tavakkoli, Chris King, Amol Ambardekar, Monica Nicolescu, Mircea Nicolescu, "Context-Based Bayesian Intent Recognition", in IEEE Transactions on Autonomous Mental Development, 4(3), 215-225, 2012. [PDF] [LINK]
  • Richard Kelley, Enrique Schaerer, Micaela Gomez, and Monica Nicolescu, "Liability in Robotics: An International Perspective on Robots as Animals", in Advanced Robotics, Vol. 24, No. 13, pp. 1861-1871, 2010. [PDF]
  • Richard Kelley, Christopher King, Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, George Bebis, "An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation", International Journal of Humanoid Robotics, Special Issue on Cognitive Humanoid Robots, vol. 5, no. 2, pages 1-22, 2008. [PDF]
  • Monica Nicolescu, Odest Chadwicke Jenkins, Adam Olenderski, Eric Fritzinger, "Learning Behavior Fusion from Observation", Interactive Studies Journal, Special Issue on Robot and Human Interactive Communication , vol. 9, no. 2, pages 319-352, 2008. [PDF]
  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica Nicolescu, "A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds", in the International Journal on Artificial Intelligence Tools, 2008. [PDF]
  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica Nicolescu, "Non-Parametric Statistical Background Modeling for Efficient Foreground Region Detection", Machine Vision and Applications, April 2008. [PDF]
  • Junxian Wang, George Bebis, Mircea Nicolescu, Monica Nicolescu, Ronald Miller, "Improving Target Detection by Coupling It with Tracking", Machine Vision and Applications, February 2008. [PDF]
  • Monica Nicolescu, Ryan Leigh, Adam Olenderski, Sushil Louis, Sergiu Dascalu, Chris Miles, Juan Quiroz, Ryan Aleson, "A Training Simulation System with Realistic Autonomous Ship Control", Computational Intelligence, Special Issue on Artificial Intelligence Methods for Ambient Intelligence, vol. 23, no. 4, pages 497-516, November 2007. [PDF]
  • Jorge Usabiaga, George Bebis, Ali Erol, Mircea Nicolescu, Monica Nicolescu, "Recognizing Simple Human Actions Using 3D Head Movement", Computational Intelligence, Special Issue on Artificial Intelligence Methods for Ambient Intelligence, vol. 23, no. 4, pages 484-496, November 2007. [PDF]
  • Sara Nasser, Gregory Vert, Monica Nicolescu, Alison Murray "Multi Sequence Assembly for Prokaryotes and Eukaryotes Using Fuzzy Logic", IEEE International Journal of Information Technology and Intelligent Computing, vol. 2, no. 4, 2007. [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Learning and Interacting in Human-Robot Domains", Special Issue of IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans , Vol. 31, No. 5, pages 419-430, Chelsea C. White and Kerstin Dautenhahn Eds., September, 2001. [PDF]
  • Shuvo Kumar Paul, Pourya Hoseini, Arjun Vettath Gopinath, Mircea Nicolescu, Monica Nicolescu, "Simultaneous Integration of Multimodal Interfaces for Generating Structured and Reliable Robotic Task Configurations", in the Proceedings of the International Conference on Machine Vision and Applications, pages 61-66, Singapore, February 2022.
  • Shuvo Kumar Paul, Pourya Hoseini, Mircea Nicolescu, Monica Nicolescu, “Resolving User(s) of Interest in the Context of a Multi-Party Collaborative HRI Setting Using Active Speaker and Facing State Estimation”, Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition, pages 1-8, Las Vegas, Nevada, July 2022.
  • Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "A Surface and Appearance-Based Next Best View System for Active Object Recognition", in the Proceedings of the International Conference on Computer Vision Theory and Applications, vol. 5, pages 841-851, best paper award finalist, February 2021.
  • Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "A Comparative Evaluation of Keypoint Detectors and Binary Descriptors", in the Proceedings of the International Conference on Robotics and Machine Vision, pages 1-10, Seoul, Korea, February 2021.
  • Janelle Blankenburg, Mariya Zagainova, Stephen M. Simmons, Gabrielle Talavera, Monica Nicolescu, and David Feil-Seifer. "Human-Robot Collaboration and Dialogue for Fault Recovery on Hierarchical Tasks." In International Conference on Social Robotics (ICSR), CO, Oct 2020.
  • Andrew Palmer, Christopher Peterson, Janelle Blankenburg, Monica Nicolescu, and David Feil-Seifer. "Simple Camera-to-2D-LiDAR Calibration Method for General Use." In International Conference on Visual Computing (ISVC), Virtual, Sep 2020.
  • Muhammed Tawfiq Chowdhury, Shuvo Kumar Paul, Monica Nicolescu, Mircea Nicolescu, David Feil-Seifer, Sergiu Dascalu, "Computation of Suitable Grasp Pose for Usage of Objects Based on Predefined Training and Real Time Pose Estimation", Proceedings of the International Conference on Autonomic and Autonomous Systems – Special Track on Vision and Learning for Robotic Applications, pages 91-96, Lisbon, Portugal, September-October 2020.
  • Shuvo Kumar Paul, Muhammed Tawfiq Chowdhury, Mircea Nicolescu, Monica Nicolescu, David Feil-Seifer, "Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping", Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition, pages 1-10, Las Vegas, Nevada, July 2020.
  • Bashira Akter Anima, Mariya Zagainova, S. Pourya Hoseini Alinodehi, Muhammed Tawfiq Chowdhury, Janelle Blankenburg, Monica Nicolescu, David Feil-Seifer, Mircea Nicolescu, "Collaborative Human-Robot Hierarchical Task Execution with an Activation Spreading Architecture",Proceedings of the International Conference on Social Robotics, best paper award finalist, pages 301-310, Madrid, Spain, November 2019
  • Seyed Pourya Hoseini Alinodehi, Janelle Blankenburg, Mircea Nicolescu, Monica Nicolescu, David Feil-Seifer, "An Active Robotic Vision System with a Pair of Moving and Stationary Cameras", Proceedings of the International Symposium on Visual Computing, pages 184-195, Lake Tahoe, Nevada, October 2019.
  • Monica Nicolescu, Natalie Arnold, Janelle Blankenburg, David Feil-Seifer, Santosh Banisetty, Mircea Nicolescu, Andrew Palmer, Thor Monteverde, "Learning of Complex-Structured Tasks from Verbal Instruction", Proceedings of the IEEE-RAS International Conference on Humanoid Robots, pages 1-8, Toronto, Canada, October 2019.
  • Logan Carlson, Dalton Navalta, Monica Nicolescu, Gail Woodward, Mircea Nicolescu, "Multinomial HMMs for Intent Recognition in Maritime Domains", Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, Montreal, Canada, May 2019.
  • Logan Carlson, Dalton Navalta, Monica Nicolescu, Mircea Nicolescu, Gail Woodward, "Intent Classification in Maritime Domains with Multinomial HMMs", Proceedings of the International Workshop on EXplainable TRansparent Autonomous Agents and Multi-Agent Systems, pages 1-15, Montreal, Canada, May 2019.
  • Scott Forer, Santosh Balajee Banisetty, Logan Yliniemi, Monica Nicolescu, and David Feil-Seifer, “Socially-Aware Navigation Using Non-Linear Multi-Objective Optimization,” In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, Spain, Oct 2018.
  • Seyed Pourya Hoseini Alinodehi, Mircea Nicolescu, Monica Nicolescu, "Active Object Detection Through Dynamic Incorporation of Dempster-Shafer Fusion for Robotic Applications", Proceedings of the International Conference on Vision, Image and Signal Processing, pages 1-7, Las Vegas, Nevada, August 2018.
  • Seyed Pourya Hoseini Alinodehi, Mircea Nicolescu, Monica Nicolescu, "Handling Ambiguous Object Recognition Situations in a Robotic Environment via Dynamic Information Fusion", Proceedings of the IEEE International Conference on Cognitive and Computational Aspects of Situation Management, pages 56-62, Boston, Massachusetts, June 2018.
  • Janelle Blankenburg, Santosh Balajee Banisetty, Seyed Pourya Hoseini Alinodehi, Luke Fraser, David Feil-Seifer, Monica Nicolescu, Mircea Nicolescu, "A Distributed Control Architecture for Collaborative Multi-Robot Task Allocation", Proceedings of the IEEE-RAS International Conference on Humanoid Robots, pages 1-8, Birmingham, UK, November 2017.
  • Luke Fraser, Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, David Feil-Seifer, George Bebis, "A Compact Task Representation for Hierarchical Robot Control", Proceedings of the IEEE-RAS International Conference on Humanoid Robots, pages 1-8, Cancun, Mexico, November 2016.
  • Luke Fraser, Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, David Feil-Seifer, "A Hierarchical Control Architecture for Robust and Adaptive Collaborative Robot Task Execution", Proceedings of Planning for Human-Robot Interaction: Shared Autonomy and Collaborative Robotics – RSS Workshop, pages 1-3, Ann Arbor, Michigan, June 2016.
  • Banafsheh Rekabdar, Luke Fraser, Monica Nicolescu, Mircea Nicolescu, “Spiking Neural Network for Human Hand Gesture Recognition: A Real-Time Approach”, Proceedings of Model Learning for Human-Robot Communication – RSS Workshop, pages 1-3, Ann Arbor, Michigan, June 2016.
  • Touqeer Ahmad, George Bebis, Monica Nicolescu, Ara Nefian, Terry Fong, “An Edge-less approach to horizon line detection”, IEEE International Conference on Machine Learning and Applications, 2015.
  • Touqeer Ahmad, George Bebis, Monica Nicolescu, Ara Nefian, Terry Fong, “Fusion of Edge-less and Edge-based Approaches for Horizon Line Detection”, 6th International Conference on Information, Intelligence, Systems and Applications, 2015.
  • Mohammad Saffar, Mircea Nicolescu, Monica Nicolescu, Banafsheh Rekabdar, "Context-Based Intent Understanding Using an Activation Spreading Architecture", Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1-8, Hamburg, Germany, September 2015.
  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, Richard Kelley, "A Biologically Inspired Approach to Learning Spatio-Temporal Patterns", Proceedings of the International Conference on Development and Learning and on Epigenetic Robotics, pages 291-297, Providence, Rhode Island, August 2015.
  • Mohammad Saffar, Mircea Nicolescu, Monica Nicolescu, Daniel Bigelow, Christopher Ballinger, Sushil Louis, "Intent Recognition in a Simulated Maritime Multi-Agent Domain", Proceedings of the International Workshop on Machine Learning, Optimization and Big Data, pages 1-12, Taormina, Italy, July 2015.
  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, Richard Kelley, "Scale and Translation Invariant Learning of Spatio-Temporal Patterns using Longest Common Subsequences and Spiking Neural Networks", Proceedings of the International Joint Conference on Neural Networks, pages 3659-3666, Killarney, Ireland, July 2015.
  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, "An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Networks", Proceedings of the HRI Pioneers Workshop (in conjunction with the ACM/IEEE International Conference on Human-Robot Interaction), pages 213-214, Portland, Oregon, March 2015.
  • Banafsheh Rekabdar, Monica Nicolescu, Richard Kelley, Mircea Nicolescu, "Unsupervised Learning of Spatio-Temporal Patterns Using Spike Timing Dependent Plasticity", to appear in the Proceedings of the Seventh Annual Conference on Artificial General Intelligence, Quebec City, Canada, August 2014. [Link]
  • Siming Liu, Sushil J. Louis, and Monica Nicolescu, "Comparing Heuristic Search Methods for Finding Effective Group Behaviors in RTS Game", in 2013 IEEE Congress on Evolutionary Computation (CEC), pages 1371-1378, 2013. [PDF] [Link]
  • Siming Liu, Sushil J. Louis, and Monica Nicolescu, "Using Cigar for Finding Effective Group Behaviors in RTS Game", in 2013 IEEE Conference on Computational Intelligence in Games (CIG), pages 1-8. IEEE, 2013. [PDF] [Link]
  • Bradford Towle, Monica N. Nicolescu, "Incorporating a Reusable Human Robot Interface with an Auction Behavior-Based Robotic Architecture", in IEEE, ACM 4th International Workshop on Collaborative Robots and Human Robot Interaction, pp. 203 - 209, 2013. [PDF] [Link]
  • Abbas Roayaei Ardakany, Mircea Nicolescu, Monica Nicolescu, "An Extended Local Binary Pattern for Gender Classification", Proceedings of the IEEE International Symposium on Multimedia, pages 1-6, Anaheim, California, December 2013. [PDF] [Link]
  • Liesl Wigand, Monica Nicolescu, Mircea Nicolescu, "A Developmental Approach to Concept Learning", Proceedings of the International Conference on Informatics in Control, Automation and Robotics, pages 337-344, Reykjavik, Iceland, July 2013. [PDF] [Link]
  • Mike Oberberger, Sushil Louis, Monica Nicolescu, "Evolving Team Tactics using Potential Fields", in Computational Intelligence for Security and Defense Applications, pp 1-9, 2013. [Link]
  • Bradford Towle, Monica Nicolescu, "Real-World Implementation of an Auction Behavior-Based Robotic Architecture (ABBRA)", in Proceedings of the IEEE International Conference on Technologies for Practical Robot Applications (TePRA), 2012. [PDF] [Link]
  • Katie Browne, Monica Nicolescu, "Learning to Generalize from Demonstrations", in Proceedings of AIMSA 2012 Workshop on Advances in Robot Learning and Human-Robot Interaction, 2012. [PDF]
  • Richard Kelley, Liesl Wigand, Brian Hamilton, Katie Browne, Monica Nicolescu, Mircea Nicolescu, "Deep Networks for Predicting Human Intent with Respect to Objects", in Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, Boston, MA, 2012. [Link]
  • Richard Kelley, Amol Ambardekar, Liesl Wigand, Monica Nicolescu, Mircea Nicolescu, "Point Clouds and Range Images for Intent Recognition and Human-Robot Interaction", in Proceedings of the Advanced Reasoning with Depth Cameras Workshop (in conjunction with the Robotics: Science and Systems Conference), Los Angeles, California, June 2011. [PDF]
  • Bradford A. Towle Jr. and Monica Nicolescu, "Applying Dynamic Conditions to the Auction Behavior-Based Robotic Architecture", in Proceedings of International Conference on Artificial Intelligence, Las Vegas, NV, July 18-21, 2011. [PDF]
  • Richard Kelley, Christopher King, Amol Ambardekar, Monica Nicolescu, Mircea Nicolescu and Alireza Tavakkoli, "Integrating Context into Intent Recognition Systems", in the "7th International Conference on Informatics in Control, Automation and Robotics", pages 315-320, Funchal, Madeira, Portugal, June, 2010. [PDF]
  • Amol Ambardekar, Alireza Tavakkoli, Mircea Nicolescu, and Monica Nicolescu, "A Developmental Framework for Visual Learning in Robotics", in the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition, July 12-15, Las Vegas, USA, 2010. [PDF]
  • Bradford A. Towle Jr., Monica Nicolescu, "Fusing Multiple Sensors through Behaviors with the Distributed Architecture", in the "IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems", pages 115-120, September 5-7, 2010. [PDF] [LINK]
  • Brad Towle, Monica Nicolescu, and Sergiu Dascalu, "Towards Integrating Role Playing Game Constructs in Real-Time Strategy Games", in "19th International Conference on Software Engineering and Data Engineering", San Francisco, USA, June 16-18, 2010. [PDF]
  • Saul Byberg Reed, Tyson Richard Curtis Reed, Sergiu Dascalu, Monica Nicolescu, "Recursive, Hyperspherical Behavioral Learning for Robotic Control", in "World Automation Congress", Kobe, Japan, September 19-22, 2010. [PDF] [LINK]
  • Adrienne Breland, Karen Schlauch, Monica Nicolescu, and Frederick Harris, "An Annotated k-deep Prefix Tree for (1-k)-mer Based Sequence Comparisons", in the "ACM International Conference on Bioinformatics and Computational Biology", August 2-4, New York, USA, 2010. [PDF] [LINK]
  • Mukesh Motwani, Nishith Tirpankar, Rakhi Motwani, Monica Nicolescu, Frederick C.Harris, Jr., "Towards Benchmarking Of Video Motion Tracking Algorithms", in Proceedings of IEEE International Conference on Signal Acquisition and Processing (ICSAP 2010), February 9-10, 2010, Bangalore, India. [Link]
  • Richard Kelley, Monica Nicolescu, "Stochastic Models of Intent Recognition", the 9th SIAM International Conference on Data Mining, Reno, NV, April 30 - May 2, 2009.
  • Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Efficient Background Modeling through Incremental Support Vector Data Description", SIAM International Conference on Data Mining, Sparks, Nevada, April 2009.
  • Richard Kelley, Monica Nicolescu, Mircea Nicolescu, Sushil Louis, "An Evolutionary Approach to Maximum Likelihood Estimation for Generative Stochastic Models", the 40th International Symposium on Robotics, Barcelona, Spain, March 10-13, 2009. [PDF]
  • Amol Ambardekar, Mircea Nicolescu, Monica Nicolescu, "Object Tracking Using Piecewise Feature Clustering", Proceedings of the International Conference on Visualization, Imaging and Image Processing, Cambridge, UK, July 2009. [PDF]
  • Enrique Schaerer, Richard Kelley, Monica Nicolescu, "Robots as Animals: A Framework for Liability and Responsibility in Human-Robot Interactions", the 18th IEEE Symposium on Robot and Human Interactive Communication, Toyama, Japan, Sep-Oct 2009. [LINK]
  • Richard Kelley, Monica Nicolescu, Mircea Nicolescu, "Grammar-Based Robot Control", Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, Budapest, Hungary, pages 1153-1154, May, 2009. [PDF] [LINK]
  • Sara Nasser, Adrienne Breland, Frederick Harris Jr, Monica Nicolescu, "A Fuzzy Classifier to Taxonomically Group DNA Fragments within a Metagenome", in Proceedings of the North American Fuzzy Information Processing Society Conference, New York, NY, May, 2008. [PDF]
  • Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Efficient Background Modeling through Incremental Support Vector Data Description", in the Proceedings of the International Conference on Pattern Recognition, Tampa, Florida, December 2008. [PDF]
  • Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Incremental SVDD Training: Improving Efficiency of Background Modeling in Videos", in the Proceedings of the International Conference on Signal and Image Processing, Kailua-Kona, Hawaii, August 2008. [PDF]
  • Richard Kelley, Alireza Tavakkoli, Christopher King, Monica Nicolescu, Mircea Nicolescu, George Bebis, "Understanding Human Intentions via Hidden Markov Models in Autonomous Mobile Robots", Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 367-374, Amsterdam, Netherlands, March 2008. [PDF]
  • Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica Nicolescu, George Bebis, "A Vision-Based Architecture for Intent Recognition", Proceedings of the International Symposium on Visual Computing, pages 173-182, Lake Tahoe, Nevada, November 2007. [PDF]
  • Monica Nicolescu, Odest Chadwicke Jenkins, Austin Stanhope, "Fusing Robot Behaviors for Human-Level Tasks", in Proceedings, IEEE International Conference on Development and Learning (ICDL 07), London, UK, July 11-13, 2007.[PDF]
  • Anil Shankar, Juan Quiroz, Sergiu Dascalu, Sushil Louis, Monica Nicolescu "Sycophant: An API for Research in Context-Aware User Interfaces", in Proceedings, International Conference on Software Engineering Advances, Cap Esterel, France, Aug25-31, 2007.[PDF]
  • Jeff C. LaCombe, Eric L. Wang, Monica Nicolescu, Pablo Rivera, B. Poe "Design Experiences with a Student Satellite Program", in Proceedings, the American Society for Engineering Education, Pacific Southwest Section Conference, Reno, NV, USA, April 12-13, 2007.[PDF]
  • Sara Nasser, Gregory Vert, Monica Nicolescu, "Fuzzy Classification of Genome Sequences Prior to Assembly Based on Similarity Measures", in Proceedings, the North American Fuzzy Information Processing Society Conference San Diego, CA, June 24-27, 2007. [PDF]
  • Christopher King, Xavier Palathingal, Monica Nicolescu, Mircea Nicolescu, "A Vision-Based Architecture for Long-Term Human-Robot Interaction", in Proceedings, the IASTED International Conference on Human Computer Interaction, Chamonix, France, March 14-16, 2007.[PDF]
  • Christopher King, Xavier Palathingal, Monica Nicolescu, Mircea Nicolescu, "A Control Architecture for Long-Term Autonomy of Robotic Assistants", Proceedings of the International Symposium on Visual Computing, pages 375-384, Lake Tahoe, Nevada, November 2007. [PDF]
  • Sara Nasser, Gregory Vert, Monica Nicolescu, "Multiple Sequence Alignment using Fuzzy Logic", in Proceedings, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Honolulu, HI, April 1-5, 2007. [PDF]
  • Monica Nicolescu, Odest Chadwicke Jenkins, Adam Olenderski, "Learning Behavior Fusion Estimation from Demonstration", in Proceedings, IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 06), Hatfield, UK, pages 340-345, September 6-8, 2006. [Link]
  • Monica Nicolescu, Odest Chadwicke Jenkins, Adam Olenderski, "Behavior Fusion Estimation for Robot Learning from Demonstration", in Proceedings, IEEE 2006 Workshop on Distributed Intelligent Systems (DIS06), Prague, Czech Republic, pages 31-36, June 15-16, 2006. [PDF]
  • Adam Olenderski, Monica Nicolescu, Sushil Louis, "A Behavior-Based Architecture for Realistic Autonomous Ship Control", in Proceedings, IEEE Symposium on Computational Intelligence and Games (CIG06), Reno, NV, USA, May 22-24, 2006. [PDF]
  • Michael Capps, Joseph Liu, Edward Resnik, Monica Nicolescu, "Specification and Design of a High Risk Surveillance Vehicle", in Proceedings, International Conference on Software Engineering Research and Practice (SERP 2005), Las Vegas, NV, USA, June 27-30, 2005.
  • Ryan Leigh, Tony Morelli, Sushil Louis, Monica Nicolescu, Chris Miles, "Finding Attack Strategies for Predator Swarms Using Genetic Algorithms", in Proceedings, IEEE Congress on Evolutionary Computation, Edinburgh, SCOTLAND, September 2-5, 2005. [PDF]
  • Adam Olenderski, Monica Nicolescu, Sushil Louis, "Robot Learning by Demonstration Using Forward Models of Schema-Based Behaviors", in Proceedings, International Conference on Informatics in Control, Automation and Robotics, Barcelona, SPAIN, September 14-17, 2005. [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Natural Methods for Robot Task Learning: Instructive Demonstration, Generalization and Practice", in Proceedings, Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, Melbourne, AUSTRALIA, July 14-18, 2003 (best student paper nomination). [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Linking Perception and Action in a Control Architecture for Human-Robot Domains", Proceedings, Thirty-Sixth Hawaii International Conference on System Sciences (HICSS-36), Hawaii, USA, January 6-9, 2003 (best paper award). [PS], [PDF]
  • Monica Nicolescu, Maja J Mataric´, "A Hierarchical Architecture for Behavior-Based Robots", Proceedings, First International Joint Conference on Autonomous Agents and Multi-Agent Systems, pages 227-233, Bologna, ITALY, July 15-19, 2002. [PS], [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Experience-Based Representation Construction: Learning from Human and Robot Teachers", Proceedings, IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 740-745, Maui, Hawaii, USA, October 29 - November 3, 2001. [PS], [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Experience-Based Learning of Task Representations from Human-robot Interaction", Proceedings, IEEE International Symposium on Computational Intelligence in Robotics and Automation, pages 463-468, Banff, Alberta, CANADA, July 29 - August 1, 2001. [PS], [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Learning Cooperation From Human-Robot Interaction", Proceedings, 5th International Symposium on Distributed Autonomous Robotic Systems (DARS), pages 477-478, Knoxville, TN, October 4-6, 2000. [PS], [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Deriving and Using Abstract Representation in Behavior-Based Systems", Proceedings, Seventeenth National Conference on Artificial Intelligence (AAAI), Student poster, page 1087, Austin, Texas, July 30-August 3, 2000. [PS], [PDF]
  • Monica Nicolescu, Maja J Mataric´, "Extending Behavior-Based Systems Capabilities Using An Abstract Behavior Representation", Working Notes of the AAAI Fall Symposium on Parallel Cognition, pages 27-34, North Falmouth, MA, November 3-5, 2000. [PS], [PDF]
  • Odest C. Jenkins, Monica Nicolescu, Maja J Mataric´, "Autonomy and Supervision for Robot Skills and Tasks Learned from Demonstration", in Proceedings, the American Association for Artificial Intelligence, Workshop on Supervisory Control of Learning and Adaptive Systems, San Jose, CA, July 25, 2004. [PDF]
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