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Nisar Razzi Ahmed
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2020 – today
- 2024
[j25]Nicholas Conlon
, Nisar R. Ahmed, Daniel Szafir:
A Survey of Algorithmic Methods for Competency Self-Assessments in Human-Autonomy Teaming. ACM Comput. Surv. 56(7): 164:1-164:31 (2024)- [j24]Anne Theurkauf, Justin Kottinger, Nisar R. Ahmed, Morteza Lahijanian:
Chance-Constrained Multi-Robot Motion Planning Under Gaussian Uncertainties. IEEE Robotics Autom. Lett. 9(1): 835-842 (2024) - [j23]Shohei Wakayama, Nisar R. Ahmed:
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration. IEEE Robotics Autom. Lett. 9(10): 8531-8538 (2024) - [j22]Zhaozhong Chen, Harel Biggie, Nisar R. Ahmed, Simon Julier, Christoffer Heckman:
Kalman Filter Auto-Tuning With Consistent and Robust Bayesian Optimization. IEEE Trans. Aerosp. Electron. Syst. 60(2): 2236-2250 (2024) - [c42]Nisar R. Ahmed, Luke Burks, Kailah Cabral, Alyssa Bekai Rose:
Exact Consistency Tests for Gaussian Mixture Filters Using Normalized Deviation Squared Statistics. ACC 2024: 454-461 - [c41]Changkyo Shin, Ofer Dagan, Nisar R. Ahmed, Han-Lim Choi:
Fault-tolerant Bayesian Decentralized Data Fusion Using Reliability Variables and Mixture Models. FUSION 2024: 1-8 - [c40]Hunter M. Ray, Zakariya Laouar, Zachary Sunberg, Nisar R. Ahmed:
Human-Centered Autonomy for UAS Target Search. ICRA 2024: 9563-9570 - [i48]Ofer Dagan, Tycho L. Cinquini, Nisar R. Ahmed:
Scalable Factor Graph-Based Heterogeneous Bayesian DDF for Dynamic Systems. CoRR abs/2401.16301 (2024) - [i47]Aastha Acharya, Caleb Lee, Marissa D'Alonzo, Jared Shamwell, Nisar R. Ahmed, Rebecca L. Russell:
Deep Modeling of Non-Gaussian Aleatoric Uncertainty. CoRR abs/2405.20513 (2024) - [i46]Peter Amorese, Shohei Wakayama, Nisar R. Ahmed, Morteza Lahijanian:
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference. CoRR abs/2406.11984 (2024) - [i45]Brett W. Israelsen, Nisar R. Ahmed, Matthew Aitken, Eric W. Frew, Dale A. Lawrence, Brian Argrow:
"A Good Bot Always Knows Its Limitations": Assessing Autonomous System Decision-making Competencies through Factorized Machine Self-confidence. CoRR abs/2407.19631 (2024) - [i44]Shohei Wakayama, Alberto Candela, Paul Hayne, Nisar R. Ahmed:
Active Inference in Contextual Multi-Armed Bandits for Autonomous Robotic Exploration. CoRR abs/2408.04119 (2024) - [i43]Jiho Lee, Nisar R. Ahmed, Kyle Hollins Wray, Zachary N. Sunberg:
Rao-Blackwellized POMDP Planning. CoRR abs/2409.16392 (2024) - 2023
- [j21]Nicholas Conlon, Nisar R. Ahmed, Daniel Szafir:
Event-triggered robot self-assessment to aid in autonomy adjustment. Frontiers Robotics AI 10 (2023) - [j20]Ofer Dagan, Nisar R. Ahmed:
Exact and Approximate Heterogeneous Bayesian Decentralized Data Fusion. IEEE Trans. Robotics 39(2): 1136-1150 (2023) - [j19]Shohei Wakayama, Nisar R. Ahmed:
Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing. IEEE Trans. Robotics 39(4): 3008-3023 (2023) - [j18]Luke Burks, Hunter M. Ray, Jamison McGinley, Sousheel Vunnam, Nisar R. Ahmed:
HARPS: An Online POMDP Framework for Human-Assisted Robotic Planning and Sensing. IEEE Trans. Robotics 39(4): 3024-3042 (2023) - [c39]Shohei Wakayama, Nisar R. Ahmed:
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits. ICRA 2023: 7916-7922 - [c38]Anne Theurkauf, Qi Heng Ho, Roland B. Ilyes, Nisar R. Ahmed, Morteza Lahijanian:
Chance-Constrained Motion Planning with Event-Triggered Estimation. ICRA 2023: 7944-7950 - [c37]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories. ICRA 2023: 12751-12757 - [c36]Ofer Dagan, Tycho L. Cinquini, Nisar R. Ahmed:
Non-Linear Heterogeneous Bayesian Decentralized Data Fusion. IROS 2023: 9262-9268 - [i42]Nicholas Conlon, Aastha Acharya, Nisar R. Ahmed:
AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA). CoRR abs/2301.05384 (2023) - [i41]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories. CoRR abs/2302.08669 (2023) - [i40]Nicholas Conlon, Nisar R. Ahmed, Daniel Szafir:
Dynamic Competency Self-Assessment for Autonomous Agents. CoRR abs/2303.01646 (2023) - [i39]Anne Theurkauf, Justin Kottinger, Nisar R. Ahmed, Morteza Lahijanian:
Chance-Constrained Multi-Robot Motion Planning under Gaussian Uncertainties. CoRR abs/2303.11476 (2023) - [i38]Ofer Dagan, Tycho L. Cinquini, Luke Morrissey, Kristen Such, Nisar R. Ahmed, Christoffer Heckman:
Towards Decentralized Heterogeneous Multi-Robot SLAM and Target Tracking. CoRR abs/2306.04570 (2023) - [i37]Zhaozhong Chen, Harel Biggie, Nisar R. Ahmed, Simon Julier, Christoffer Heckman:
Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization. CoRR abs/2306.07225 (2023) - [i36]Christopher Funk, Ofer Dagan, Benjamin Noack, Nisar R. Ahmed:
Exploiting Structure for Optimal Multi-Agent Bayesian Decentralized Estimation. CoRR abs/2307.10594 (2023) - [i35]Hunter M. Ray, Zakariya Laouar, Zachary Sunberg, Nisar R. Ahmed:
Human-Centered Autonomy for UAS Target Search. CoRR abs/2309.06395 (2023) - [i34]Akash Ratheesh, Ofer Dagan, Nisar R. Ahmed, Jay McMahon:
Using Surprise Index for Competency Assessment in Autonomous Decision-Making. CoRR abs/2312.09033 (2023) - [i33]Shohei Wakayama, Nisar R. Ahmed:
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Exploration with Uncertain Semantic Data. CoRR abs/2312.12583 (2023) - [i32]Nisar R. Ahmed, Luke Burks, Kailah Cabral, Alyssa Bekai Rose:
Exact Consistency Tests for Gaussian Mixture Filters using Normalized Deviation Squared Statistics. CoRR abs/2312.17420 (2023) - 2022
- [c35]Luke Barbier, Luke Morrissey, Nisar R. Ahmed, Eric W. Frew, Sonia Martínez, Kenneth Center:
Distributed Event-Triggered Localization for High Latency Communication*. ACC 2022: 5016-5023 - [c34]Anne Theurkauf, Nisar R. Ahmed, Morteza Lahijanian:
Pareto Optimal Strategies for Event-triggered Estimation. CDC 2022: 2884-2889 - [c33]Nicholas Conlon, Daniel Szafir, Nisar R. Ahmed:
"I'mConfident This Will End Poorly": Robot Proficiency Self-Assessment in Human-Robot Teaming. IROS 2022: 2127-2134 - [c32]Ofer Dagan, Nisar R. Ahmed:
Conservative Filtering for Heterogeneous Decentralized Data Fusion in Dynamic Robotic Systems. IROS 2022: 5840-5847 - [c31]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Competency Assessment for Autonomous Agents using Deep Generative Models. IROS 2022: 8211-8218 - [i31]Ofer Dagan, Nisar R. Ahmed:
Conservative Filtering for Heterogeneous Decentralized Data Fusion in Dynamic Robotic Systems. CoRR abs/2203.07142 (2022) - [i30]Nicholas Conlon, Daniel Szafir, Nisar R. Ahmed:
Investigating the Effects of Robot Proficiency Self-Assessment on Trust and Performance. CoRR abs/2203.10407 (2022) - [i29]Brett W. Israelsen, Nisar R. Ahmed:
A Factor-Based Framework for Decision-Making Competency Self-Assessment. CoRR abs/2203.11981 (2022) - [i28]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Competency Assessment for Autonomous Agents using Deep Generative Models. CoRR abs/2203.12670 (2022) - [i27]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Uncertainty Quantification for Competency Assessment of Autonomous Agents. CoRR abs/2206.10553 (2022) - [i26]Hunter M. Ray, Ryan Singer, Nisar R. Ahmed:
A Review of the Operational Use of UAS in Public Safety Emergency Incidents. CoRR abs/2207.07761 (2022) - [i25]Anne Theurkauf, Nisar R. Ahmed, Morteza Lahijanian:
Pareto Optimal Strategies for Event Triggered Estimation. CoRR abs/2207.08971 (2022) - [i24]Ofer Dagan, Tycho L. Cinquini, Nisar R. Ahmed:
Heterogeneous Bayesian Decentralized Data Fusion: An Empirical Study. CoRR abs/2209.08401 (2022) - [i23]Shohei Wakayama, Nisar R. Ahmed:
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits. CoRR abs/2209.09185 (2022) - [i22]Anne Theurkauf, Qi Heng Ho, Roland B. Ilyes, Nisar R. Ahmed, Morteza Lahijanian:
Chance-Constrained Motion Planning with Event-Triggered Estimation. CoRR abs/2210.07190 (2022) - 2021
- [j17]Jeremy Muesing, Nisar R. Ahmed, Luke Burks, Michael L. Iuzzolino, Danielle Albers Szafir:
Fully Bayesian Human-Machine Data Fusion for Robust Online Dynamic Target Characterization. J. Aerosp. Inf. Syst. 18(2): 26-49 (2021) - [j16]Steve McGuire, P. Michael Furlong, Christoffer Heckman, Simon Julier, Nisar R. Ahmed:
Human-Aware Reinforcement Learning for Fault Recovery Using Contextual Gaussian Processes. J. Aerosp. Inf. Syst. 18(7): 429-441 (2021) - [j15]Luke Burks, Nisar R. Ahmed, Ian Loefgren, Luke Barbier, Jeremy Muesing, Jamison McGinley, Sousheel Vunnam:
Collaborative human-autonomy semantic sensing through structured POMDP planning. Robotics Auton. Syst. 140: 103753 (2021) - [c30]Zhaozhong Chen, Christoffer Heckman, Simon Julier, Nisar R. Ahmed:
Time Dependence in Kalman Filter Tuning. FUSION 2021: 1-8 - [c29]Ofer Dagan, Nisar R. Ahmed:
Factor Graphs for Heterogeneous Bayesian Decentralized Data Fusion. FUSION 2021: 1-8 - [c28]Jack D. Center, Nisar R. Ahmed:
Data Fusion-Aware Motion Planning for Ad Hoc Robotic Search Teams. SSRR 2021: 160-167 - [i21]Ofer Dagan, Nisar R. Ahmed:
Exact and Approximate Heterogeneous Bayesian Decentralized Data Fusion. CoRR abs/2101.11116 (2021) - [i20]Ofer Dagan, Nisar R. Ahmed:
Factor Graphs for Heterogeneous Bayesian Decentralized Data Fusion. CoRR abs/2106.13285 (2021) - [i19]Zhaozhong Chen, Christoffer Heckman, Simon Julier, Nisar R. Ahmed:
Time Dependence in Kalman Filter Tuning. CoRR abs/2108.10712 (2021) - [i18]Shohei Wakayama, Nisar R. Ahmed:
Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing. CoRR abs/2110.09621 (2021) - [i17]Luke Burks, Hunter M. Ray, Jamison McGinley, Sousheel Vunnam, Nisar R. Ahmed:
Semantic Sensing and Planning for Human-Robot Collaboration in Uncertain Environments. CoRR abs/2110.10324 (2021) - 2020
- [c27]Ramya Kanlapuli Rajasekaran, Nisar R. Ahmed, Eric W. Frew:
Bayesian Fusion of Unlabeled Vision and RF Data for Aerial Tracking of Ground Targets. IROS 2020: 1629-1636 - [c26]Ofer Dagan, Nisar R. Ahmed:
Heterogeneous Decentralized Fusion Using Conditionally Factorized Channel Filters. MFI 2020: 46-53 - [i16]Michael L. Iuzzolino, Tetsumichi Umada, Nisar R. Ahmed, Danielle Albers Szafir:
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems. CoRR abs/2004.00762 (2020) - [i15]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data. CoRR abs/2011.09004 (2020)
2010 – 2019
- 2019
- [j14]Brett W. Israelsen, Nisar R. Ahmed:
"Dave...I can assure you ...that it's going to be all right ..." A Definition, Case for, and Survey of Algorithmic Assurances in Human-Autonomy Trust Relationships. ACM Comput. Surv. 51(6): 113:1-113:37 (2019) - [j13]Steve McGuire, P. Michael Furlong, Terry Fong, Christoffer Heckman, Daniel Szafir, Simon J. Julier, Nisar R. Ahmed:
Everybody Needs Somebody Sometimes: Validation of Adaptive Recovery in Robotic Space Operations. IEEE Robotics Autom. Lett. 4(2): 1216-1223 (2019) - [j12]John Klingner, Nisar R. Ahmed, Nikolaus Correll:
Fault-tolerant Covariance Intersection for localizing robot swarms. Robotics Auton. Syst. 122 (2019) - [j11]Luke Burks, Ian Loefgren, Nisar R. Ahmed:
Optimal Continuous State POMDP Planning With Semantic Observations: A Variational Approach. IEEE Trans. Robotics 35(6): 1488-1507 (2019) - [c25]Brett W. Israelsen, Nisar R. Ahmed, Eric W. Frew, Dale A. Lawrence, Brian Argrow:
Machine Self-confidence in Autonomous Systems via Meta-analysis of Decision Processes. AHFE (14) 2019: 213-223 - [c24]Luke Burks, Nisar R. Ahmed:
Collaborative Semantic Data Fusion with Dynamically Observable Decision Processes. FUSION 2019: 1-8 - [c23]Ian Loefgren, Nisar R. Ahmed, Eric W. Frew, Christoffer Heckman, J. Sean Humbert:
Scalable Event-Triggered Data Fusion for Autonomous Cooperative Swarm Localization. FUSION 2019: 1-8 - [c22]John Stechschulte, Nisar R. Ahmed, Christoffer Heckman:
Robust low-overlap 3-D point cloud registration for outlier rejection. ICRA 2019: 7143-7149 - [i14]Nisar R. Ahmed:
Decentralized Gaussian Mixture Fusion through Unified Quotient Approximations. CoRR abs/1907.04008 (2019) - [i13]Zhaozhong Chen, Nisar R. Ahmed, Simon Julier, Christoffer Heckman:
Kalman Filter Tuning with Bayesian Optimization. CoRR abs/1912.08601 (2019) - 2018
- [j10]Brett W. Israelsen, Nisar R. Ahmed, Kenneth Center, Roderick Green, Winston Bennett:
Adaptive Simulation-Based Training of Artificial-Intelligence Decision Makers Using Bayesian Optimization. J. Aerosp. Inf. Syst. 15(2): 38-56 (2018) - [j9]Michael T. Ouimet, David Iglesias, Nisar R. Ahmed, Sonia Martínez:
Cooperative Robot Localization Using Event-Triggered Estimation. J. Aerosp. Inf. Syst. 15(7): 427-449 (2018) - [j8]Steve McGuire, P. Michael Furlong, Christoffer Heckman, Simon Julier, Daniel Szafir, Nisar R. Ahmed:
Failure is Not an Option: Policy Learning for Adaptive Recovery in Space Operations. IEEE Robotics Autom. Lett. 3(3): 1639-1646 (2018) - [j7]Nisar R. Ahmed:
Data-Free/Data-Sparse Softmax Parameter Estimation With Structured Class Geometries. IEEE Signal Process. Lett. 25(9): 1408-1412 (2018) - [c21]John Klingner, Nisar R. Ahmed, Nikolaus Correll:
Fault-Tolerant Covariance Intersection for Localizing Robot Swarms. DARS 2018: 485-497 - [c20]Zhaozhong Chen, Christoffer Heckman, Simon Julier, Nisar R. Ahmed:
Weak in the NEES?: Auto-Tuning Kalman Filters with Bayesian Optimization. FUSION 2018: 1072-1079 - [c19]Luke Burks, Ian Loefgren, Luke Barbier, Jeremy Muesing, Jamison McGinley, Sousheel Vunnam, Nisar R. Ahmed:
Closed-Loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search. FUSION 2018: 2262-2269 - [c18]Steven J. Dourmashkin, Nisar R. Ahmed, Dennis M. Akos, William W. Whitacre:
GPS-limited cooperative localization using scalable approximate decentralized data fusion. PLANS 2018: 1473-1484 - [i12]Michael T. Ouimet, David Iglesias, Nisar R. Ahmed, Sonia Martínez:
Cooperative Robot Localization Using Event-triggered Estimation. CoRR abs/1802.07346 (2018) - [i11]Luke Burks, Ian Loefgren, Luke Barbier, Jeremy Muesing, Jamison McGinley, Sousheel Vunnam, Nisar R. Ahmed:
Closed-loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search. CoRR abs/1806.00727 (2018) - [i10]Luke Burks, Ian Loefgren, Nisar R. Ahmed:
Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach. CoRR abs/1807.08229 (2018) - [i9]Zhaozhong Chen, Christoffer Heckman, Simon Julier, Nisar R. Ahmed:
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization. CoRR abs/1807.08855 (2018) - [i8]Brett W. Israelsen, Nisar R. Ahmed, Eric W. Frew, Dale A. Lawrence, Brian Argrow:
Machine Self-Confidence in Autonomous Systems via Meta-Analysis of Decision Processes. CoRR abs/1810.06519 (2018) - [i7]Steve McGuire, Christoffer Heckman, Daniel Szafir, Simon Julier, Nisar R. Ahmed:
Extrinisic Calibration of a Camera-Arm System Through Rotation Identification. CoRR abs/1812.08280 (2018) - 2017
- [j6]Nisar R. Ahmed, David W. Casbeer, Yongcan Cao, Derek B. Kingston:
Multitarget Localization on Road Networks with Hidden Markov Rao-Blackwellized Particle Filters. J. Aerosp. Inf. Syst. 14(11): 573-596 (2017) - [c17]Sangwoo Moon, Vinod Ramaswamy, Eric W. Frew, Nisar R. Ahmed:
Co-optimization of communication, sensing, and computation for information gathering using cloud computing. CCTA 2017: 1861-1867 - [c16]Luke Burks, Nisar R. Ahmed:
Optimal continuous state POMDP planning with semantic observations. CDC 2017: 1509-1516 - [i6]Brett W. Israelsen, Nisar R. Ahmed, Kenneth Center, Roderick Green, Winston Bennett Jr.:
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization. CoRR abs/1703.09310 (2017) - [i5]Brett W. Israelsen, Nisar R. Ahmed:
"Dave...I can assure you...that it's going to be all right..." - A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships. CoRR abs/1711.03846 (2017) - 2016
- [c15]Nicholas Sweet, Nisar R. Ahmed:
Structured synthesis and compression of semantic human sensor models for Bayesian estimation. ACC 2016: 5479-5485 - [c14]Nisar R. Ahmed, William W. Whitacre, Sangwoo Moon, Eric W. Frew:
Factorized covariance intersection for scalable partial state decentralized data fusion. FUSION 2016: 1049-1056 - [c13]Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar:
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. ICCPS 2016: 3:1-3:10 - [c12]Vinod Ramaswamy, Sangwoo Moon, Eric W. Frew, Nisar R. Ahmed:
Mutual Information based communication aware path planning: A game theoretic perspective. IROS 2016: 1823-1828 - [i4]Brett W. Israelsen, Nisar R. Ahmed:
Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions. CoRR abs/1612.03981 (2016) - [i3]Brett W. Israelsen, Nisar R. Ahmed, Kenneth Center, Roderick Green, Winston Bennett Jr.:
Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots. CoRR abs/1612.04315 (2016) - 2015
- [j5]Rina Tse, Nisar R. Ahmed, Mark E. Campbell:
Unified Terrain Mapping Model With Markov Random Fields. IEEE Trans. Robotics 31(2): 290-306 (2015) - [c11]Nisar R. Ahmed, Mark E. Campbell, David W. Casbeer, Yongcan Cao, Derek B. Kingston:
Fully bayesian learning and spatial reasoning with flexible human sensor networks. ICCPS 2015: 80-89 - [c10]Michael T. Ouimet, Nisar R. Ahmed, Sonia Martínez:
Event-based cooperative localization using implicit and explicit measurements. MFI 2015: 246-251 - [c9]Nisar R. Ahmed:
What's one mixture divided by another?: A unified approach to high-fidelity distributed data fusion with mixture models. MFI 2015: 289-296 - [i2]Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar:
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. CoRR abs/1512.07592 (2015) - 2014
- [c8]Nisar Razzi Ahmed, Rina Tse, Mark E. Campbell:
Enabling Robust Human-Robot Cooperation through Flexible Fully Bayesian Shared Sensing. AAAI Spring Symposia 2014 - [c7]Nisar Razzi Ahmed, Ewart de Visser, Tyler H. Shaw, Raja Parasuraman, Amira Mohammed-Amin, Mark Campbell:
A Look at Probabilistic Gaussian Process, Bayes Net, and Classifier Models for Prediction and Verification of Human Supervisory Performance. AAAI Spring Symposia 2014 - 2013
- [j4]Nisar R. Ahmed, Eric M. Sample, Mark E. Campbell:
Bayesian Multicategorical Soft Data Fusion for Human-Robot Collaboration. IEEE Trans. Robotics 29(1): 189-206 (2013) - [i1]Nisar R. Ahmed, Tsung-Lin Yang, Mark E. Campbell:
On Generalized Bayesian Data Fusion with Complex Models in Large Scale Networks. CoRR abs/1308.3015 (2013) - 2012
- [j3]Nisar R. Ahmed, Mark E. Campbell:
On estimating simple probabilistic discriminative models with subclasses. Expert Syst. Appl. 39(7): 6659-6664 (2012) - [j2]Nisar R. Ahmed, Mark E. Campbell:
Fast Consistent Chernoff Fusion of Gaussian Mixtures for Ad Hoc Sensor Networks. IEEE Trans. Signal Process. 60(12): 6739-6745 (2012) - [c6]Rina Tse, Nisar R. Ahmed, Mark E. Campbell:
Unified mixture-model based terrain estimation with Markov Random Fields. MFI 2012: 238-243 - [c5]Nisar R. Ahmed, Jonathan R. Schoenberg, Mark E. Campbell:
Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion. Robotics: Science and Systems 2012 - 2011
- [j1]Nisar R. Ahmed, Mark E. Campbell:
Variational Bayesian Learning of Probabilistic Discriminative Models With Latent Softmax Variables. IEEE Trans. Signal Process. 59(7): 3143-3154 (2011) - [c4]Nisar R. Ahmed, Mark E. Campbell:
Variational learning of autoregressive Mixtures of Experts for fully Bayesian hybrid system identification. ACC 2011: 139-144 - [c3]Nisar R. Ahmed, Eric M. Sample, Ken Ho, Tauhira Hoossainy, Mark E. Campbell:
Categorical soft data fusion via variational Bayesian importance sampling with applications to cooperative search. ACC 2011: 1268-1273 - 2010
- [c2]Nisar R. Ahmed, Mark E. Campbell:
Variational Bayesian data fusion of multi-class discrete observations with applications to cooperative human-robot estimation. ICRA 2010: 186-191
2000 – 2009
- 2008
- [c1]Nisar R. Ahmed, Mark E. Campbell:
Multimodal operator decision models. ACC 2008: 4504-4509