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ORCIDMomotaz Begum
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- affiliation: University of New Hampshire, NH, USA
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Journal Articles
- 2024
[j8]Momotaz Begum
, Mehedi Hasan Shuvo, Mostofa Kamal Nasir, Amran Hossain, Mohammad Jakir Hossain, Imran Ashraf, Jia Uddin, Md Abdus Samad:
LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI. IEEE Access 12: 55744-55756 (2024)- 2023
- [j7]Momotaz Begum, Mehedi Hasan Shuvo, Imran Ashraf, Abdullah Al Mamun, Jia Uddin, Md Abdus Samad:
Software Defects Identification: Results Using Machine Learning and Explainable Artificial Intelligence Techniques. IEEE Access 11: 132750-132765 (2023) - 2016
- [j6]Momotaz Begum, Richard W. Serna, Holly A. Yanco:
Are Robots Ready to Deliver Autism Interventions? A Comprehensive Review. Int. J. Soc. Robotics 8(2): 157-181 (2016) - 2015
- [j5]Frank Rudzicz, Rosalie Wang, Momotaz Begum, Alex Mihailidis:
Speech Interaction with Personal Assistive Robots Supporting Aging at Home for Individuals with Alzheimer's Disease. ACM Trans. Access. Comput. 7(2): 6:1-6:22 (2015) - 2011
- [j4]Momotaz Begum, Fakhreddine Karray:
Visual Attention for Robotic Cognition: A Survey. IEEE Trans. Auton. Ment. Dev. 3(1): 92-105 (2011) - 2010
- [j3]Momotaz Begum, Fakhri Karray, George K. I. Mann, Raymond G. Gosine:
A Probabilistic Model of Overt Visual Attention for Cognitive Robots. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1305-1318 (2010) - 2008
- [j2]Momotaz Begum, George K. I. Mann, Ray G. Gosine:
Integrated fuzzy logic and genetic algorithmic approach for simultaneous localization and mapping of mobile robots. Appl. Soft Comput. 8(1): 150-165 (2008) - 2007
- [j1]Momotaz Begum, George K. I. Mann, Ray G. Gosine:
An evolutionary algorithm for simultaneous localization and mapping (SLAM) of mobile robots. Adv. Robotics 21(9): 1031-1050 (2007)
Conference and Workshop Papers
- 2024
- [c36]Momotaz Begum, Mehedi Hasan Shuvo, Md. Golam Mostofa, ABM Kamrul Islam Riad, Md Arabin Islam Talukder, Mst. Shapna Akter, Hossain Shahriar:
M-DBSCAN: Modified DBSCAN Clustering Algorithm for Detecting and Controlling Outliers. SAC 2024: 1034-1035 - 2023
- [c35]Paul Gesel, Momotaz Begum:
Learning Stable Dynamics via Iterative Quadratic Programming. ICRA 2023: 2958-2964 - [c34]Paul Gesel, Noushad Sojib, Momotaz Begum:
Self-Supervised Visual Motor Skills via Neural Radiance Fields. IROS 2023: 3712-3718 - 2022
- [c33]Mostafa Hussein, Momotaz Begum:
Detecting Incorrect Visual Demonstrations for Improved Policy Learning. CoRL 2022: 1817-1827 - [c32]Md. Hamidur Rahman, Momotaz Begum:
Partitional Technique for Searching Initial Cluster Centers in K-means Algorithm. TCCE 2022: 255-266 - 2021
- [c31]Paul Gesel, Dain La Roche, Sajay Arthanat, Momotaz Begum:
Learning to Optimize Control Policies and Evaluate Reproduction Performance from Human Demonstrations. IROS 2021: 7800-7806 - [c30]Mostafa Hussein, Brendan Crowe, Madison Clark-Turner, Paul Gesel, Marek Petrik, Momotaz Begum:
Robust Behavior Cloning with Adversarial Demonstration Detection. IROS 2021: 7858-7864 - 2020
- [c29]Paul Gesel, Francesco Mikulis-Borsoi, Dain La Roche, Sajay Arthanat, Momotaz Begum:
Learning Optimized Human Motion via Phase Space Analysis. IROS 2020: 8329-8335 - 2019
- [c28]Mostafa Hussein, Momotaz Begum, Marek Petrik:
Inverse Reinforcement Learning of Interaction Dynamics from Demonstrations. ICRA 2019: 2267-2274 - [c27]Paul Gesel, Momotaz Begum, Dain La Roche:
Learning Motion Trajectories from Phase Space Analysis of the Demonstration. ICRA 2019: 7055-7061 - [c26]Estuardo Carpio, Madison Clark-Turner, Paul Gesel, Momotaz Begum:
Leveraging Temporal Reasoning for Policy Selection in Learning from Demonstration. ICRA 2019: 7798-7804 - [c25]Estuardo Carpio, Madison Clark-Turner, Momotaz Begum:
Learning Sequential Human-Robot Interaction Tasks from Demonstrations: The Role of Temporal Reasoning. RO-MAN 2019: 1-8 - 2018
- [c24]Madison Clark-Turner, Momotaz Begum:
Deep Reinforcement Learning of Abstract Reasoning from Demonstrations. HRI 2018: 160-168 - [c23]Madison Clark-Turner, Momotaz Begum:
Deep Reinforcement Learning of Abstract Reasoning from Demonstrations. HRI (Companion) 2018: 372 - 2017
- [c22]Momotaz Begum, Selma Sabanovic:
"All for One and One for All": Systematic Data Collection and Sharing to Advance Socially Assistive Robots. HRI (Companion) 2017: 419-420 - [c21]Andreas Lydakis, Yuanliang Meng, Christopher Munroe, Yi-Ning Wu, Momotaz Begum:
A learning-based agent for home neurorehabilitation. ICORR 2017: 1233-1238 - [c20]Andreas Lydakis, Pei-Chun Kao, Momotaz Begum:
Irregular Gait Detection using Wearable Sensors. PETRA 2017: 150-155 - [c19]Madison Clark-Turner, Momotaz Begum:
Deep recurrent Q-learning of behavioral intervention delivery by a robot from demonstration data. RO-MAN 2017: 1024-1029 - 2016
- [c18]Christopher Munroe, Yuanliang Meng, Holly A. Yanco, Momotaz Begum:
Augmented Reality Eyeglasses for Promoting Home-Based Rehabilitation for Children with Cerebral Palsy. HRI 2016: 565 - [c17]Daniel J. Brooks, Momotaz Begum, Holly A. Yanco:
Analysis of reactions towards failures and recovery strategies for autonomous robots. RO-MAN 2016: 487-492 - [c16]Yuanliang Meng, Christopher Munroe, Yi-Ning Wu, Momotaz Begum:
A learning from demonstration framework to promote home-based neuromotor rehabilitation. RO-MAN 2016: 1126-1131 - 2015
- [c15]Momotaz Begum, Richard W. Serna, David Kontak, Jordan Allspaw, James Kuczynski, Holly A. Yanco, Jacob Suarez:
Measuring the Efficacy of Robots in Autism Therapy: How Informative are Standard HRI Metrics'. HRI 2015: 335-342 - 2014
- [c14]Frank Rudzicz, Rosalie Wang, Momotaz Begum, Alex Mihailidis:
Speech recognition in Alzheimer's disease with personal assistive robots. SLPAT@ACL 2014: 20-28 - 2013
- [c13]Momotaz Begum, Rosalie Wang, Rajibul Huq, Alex Mihailidis:
Performance of daily activities by older adults with dementia: The role of an assistive robot. ICORR 2013: 1-8 - 2011
- [c12]Momotaz Begum, Fakhri Karray:
Integrating visual exploration and visual search in robotic visual attention: The role of human-robot interaction. ICRA 2011: 3822-3827 - [c11]Crystal Chao, Jinhan Lee, Momotaz Begum, Andrea Lockerd Thomaz:
Simon plays Simon says: The timing of turn-taking in an imitation game. RO-MAN 2011: 235-240 - 2009
- [c10]Momotaz Begum, Fakhri Karray, George K. I. Mann, Raymond G. Gosine:
A probabilistic approach for attention-based multi-modal human-robot interaction. RO-MAN 2009: 200-205 - 2008
- [c9]Momotaz Begum, George K. I. Mann, Ray G. Gosine, Fakhri Karray:
Object- and space-based visual attention: An integrated framework for autonomous robots. IROS 2008: 301-306 - [c8]Momotaz Begum, Fakhri Karray, George K. I. Mann, Raymond G. Gosine:
Re-mapping of visual saliency in overt attention: A particle filter approach for robotic systems. ROBIO 2008: 425-430 - 2006
- [c7]Momotaz Begum, George K. I. Mann, Raymond G. Gosine:
A Fuzzy-Evolutionary Algorithm for Simultaneous Localization and Mapping of Mobile Robots. IEEE Congress on Evolutionary Computation 2006: 1975-1982 - [c6]Momotaz Begum, George K. I. Mann, Raymond G. Gosine:
A Biologically Inspired Bayesian Model of Visual Attention for Humanoid Robots. Humanoids 2006: 587-592 - [c5]Momotaz Begum, George K. I. Mann, Ray G. Gosine:
An Evolutionary SLAM Algorithm for Mobile Robots. IROS 2006: 4066-4071 - [c4]Rajibul Huq, Momotaz Begum, George K. I. Mann, Raymond G. Gosine:
Biased Competitive Model of Humanoid Visual Attention Using Fuzzy Discrete Event System. ROBIO 2006: 1559-1564 - 2005
- [c3]Momotaz Begum, George K. I. Mann, Raymond G. Gosine:
Concurrent mapping and localization for mobile robot using soft computing techniques. IROS 2005: 2266-2271 - 2003
- [c2]Momotaz Begum, Nurun Nahar, Kaneez Fatimah, Kamrul Hasan:
An efficient wavelet-VQ method for image coding. ISCAS (2) 2003: 428-431 - [c1]Momotaz Begum, Nurun Nahar, Kaneez Fatimah, M. K. Hasan, M. A. Rahman:
An Efficient Algorithm for Codebook Design in Transform Vector Quantization. WSCG 2003
Informal and Other Publications
- 2021
- [i1]Mostafa Hussein, Brendan Crowe, Marek Petrik, Momotaz Begum:
Robust Maximum Entropy Behavior Cloning. CoRR abs/2101.01251 (2021)
Coauthor Index
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