Lance M. Kaplan

263 papers A* 17A 15B 18C 43Misc 9Journal 122Unranked 38
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization.
IEEE Trans. Netw. Sci. Eng.
Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2026 J jnl
X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection.
CoRR
Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025 J jnl
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources.
CoRR
Jason Wu, Kang Yang, Lance M. Kaplan, Mani Srivastava
2025 J jnl
Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test.
IEEE Trans. Signal Process.
James Zachary Hare, Yuchen Liang, Lance M. Kaplan, Venugopal V. Veeravalli
2025 J jnl
Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization.
CoRR
Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025 B conf
Ethical AI for Healthcare Systems: Uncertainty-Aware, Fair Federated Learning.
CHASE
Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025 C conf
Evaluation of LLM Reasoning Under Uncertainty: An Atomic Comparison to Normative Approaches.
FUSION
J. P. de Villiers, Allan De Freitas, A-L. Jousselme, Lance M. Kaplan, Erik Blasch, Claire Laudy, P. C. Costa
2025 Misc conf
Keeping the Best: The K-Best rule for Efficient Quickest Change Detection with Unknown Post-Change Distribution.
ICASSP
James Zachary Hare, Lance M. Kaplan, Venugopal V. Veeravalli, Don Towsley
2025 J jnl
NARCE: A Mamba-Based Neural Algorithmic Reasoner Framework for Online Complex Event Detection.
CoRR
Liying Han, Gaofeng Dong, Xiaomin Ouyang, Lance M. Kaplan, Federico Cerutti, Mani Srivastava
2025 C conf
Preliminary Insights Into Resource-Constrained Neuro-Symbolic Causal Complex Event Processing.
FUSION
Christian Bresciani, Luca Lavazza, Marco Cominelli, Liying Han, Gaofeng Dong, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Felix J. Knutson, Federico Cerutti
2025 J jnl
Preliminary Investigation into Uncertainty-Aware Attack Stage Classification.
CoRR
Alessandro Gaudenzi, Lorenzo Nodari, Lance M. Kaplan, Alessandra Russo, Murat Sensoy, Federico Cerutti
2025 — conf
Privacy-Preserving Convergent Dynamic Average Consensus via State Decomposition.
SSP
Parth Paritosh, Lance M. Kaplan
2025 J jnl
Risk-aware classification via uncertainty quantification.
Expert Syst. Appl.
Murat Sensoy, Lance M. Kaplan, Simon Julier, Maryam Saleki, Federico Cerutti
2025 C conf
The Effect of the Prior on Asymptotic Performance of Uncertain Naïve Bayesian Networks.
FUSION
Lance M. Kaplan, James Zachary Hare, Parth Paritosh
2025 J jnl
Toward Foundation Models for Online Complex Event Detection in CPS-IoT: A Case Study.
CoRR
Liying Han, Gaofeng Dong, Xiaomin Ouyang, Lance M. Kaplan, Federico Cerutti, Mani Srivastava
2025 — conf
Tracking Multiple Objects with Dynamic Dependencies and Merged Measurements.
IEEECONF
Yongho Seo, Lance M. Kaplan, Antonia Papandreou-Suppappola
2025 A* conf
fair-LDP: Uncertainty-Guided Fairness and Privacy for Federated Healthcare Learning.
ICDM
Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024 J jnl
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning.
Inf. Fusion
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024 J jnl
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data.
CoRR
Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Federico Cerutti
2024 — conf
Adapting Complex Event Detection to Perceptual Domain Shifts.
MILCOM
Brian Wang, Julian de Gortari Briseno, Liying Han, Henry Phillips, Jeffrey Craighead, Ben Purman, Lance M. Kaplan, Mani Srivastava
2024 C conf
Asymptotic Analysis of Uncertain Naïve Bayes via Second-Order Probabilities.
FUSION
Lance M. Kaplan, James Zachary Hare
2024 A conf
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors.
IROS
Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava
2024 J jnl
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors.
CoRR
Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava
2024 J jnl
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors.
CoRR
Ho Lyun Jeong, Ziqi Wang, Colin Samplawski, Jason Wu, Shiwei Fang, Lance M. Kaplan, Deepak Ganesan, Benjamin M. Marlin, Mani Srivastava
2024 A* conf
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty.
ICLR
Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
2024 J jnl
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty.
CoRR
Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
2024 C conf
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer.
FUSION
Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti
2024 J jnl
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer.
CoRR
Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti
2024 C conf
On Network Quickest Change Detection with Uncertain Models: An Experimental Study.
FUSION
James Zachary Hare, Yuchen Liang, Lance M. Kaplan, Venugopal V. Veeravalli
2024 — conf
On the Inconsistency of Estimation with Uncertain Models.
IEEECONF
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
2024 — conf
Quickest Change Detection in the Presence of Covert Adversaries.
MILCOM
Amir Reza Ramtin, James Zachary Hare, Lance M. Kaplan, Philippe Nain, Venugopal V. Veeravalli, Don Towsley
2024 J jnl
Risk-aware Classification via Uncertainty Quantification.
CoRR
Murat Sensoy, Lance M. Kaplan, Simon Julier, Maryam Saleki, Federico Cerutti
2024 C conf
TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action.
FUSION
Julian de Gortari Briseno, Roko Parac, Leo Ardon, Marc Roig Vilamala, Daniel Furelos-Blanco, Lance M. Kaplan, Vinod K. Mishra, Federico Cerutti, Alun D. Preece, Alessandra Russo, Mani Srivastava
2024 B conf
Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic.
IEEE Big Data
Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024 J jnl
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization.
CoRR
Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2023 J jnl
AcTrak: Controlling a Steerable Surveillance Camera using Reinforcement Learning.
ACM Trans. Cyber Phys. Syst.
Abdulrahman Fahim, Evangelos E. Papalexakis, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Lance M. Kaplan, Tarek F. Abdelzaher
2023 C conf
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data.
FUSION
Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Federico Cerutti
2023 C conf
Bounded Subjective Opinions.
FUSION
Michael Kenneth McDonald, Lance M. Kaplan, Van Nguyen
2023 J jnl
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings.
Expert Syst. Appl.
Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti
2023 A conf
Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning.
ICWS
Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2023 Misc conf
Improved Small Sample Hypothesis Testing Using the Uncertain Likelihood Ratio.
ICASSP
James Zachary Hare, Lance M. Kaplan
2023 J jnl
Interactive Web-Based Visual Analysis on Network Traffic Data.
Inf.
Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance M. Kaplan, Audun Jøsang, Soo-Yeon Ji
2023 J jnl
Knowledge from Uncertainty in Evidential Deep Learning.
CoRR
Cai Davies, Marc Roig Vilamala, Alun D. Preece, Federico Cerutti, Lance M. Kaplan, Supriyo Chakraborty
2023 Misc conf
Multi-Label Temporal Evidential Neural Networks for Early Event Detection.
ICASSP
Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
2023 J jnl
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers.
CoRR
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart, Lance M. Kaplan
2023 J jnl
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information.
CoRR
Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2022 J jnl
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning.
CoRR
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang
2022 J jnl
Automatic Concept Extraction for Concept Bottleneck-based Video Classification.
CoRR
Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia, Yu-Hsi Cheng, Diego Ramirez-Echavarria, Joseph Noor, Alessandra Russo, Lance M. Kaplan, Erik Blasch, Mani B. Srivastava
2022 J jnl
BigEye: Detection and Summarization of Key Global Events From Distributed Crowdsensed Data.
IEEE Internet Things J.
Abdulrahman Fahim, Ajaya Neupane, Evangelos E. Papalexakis, Lance M. Kaplan, Srikanth V. Krishnamurthy, Tarek F. Abdelzaher
2022 — conf
Context-aware Collaborative Neuro-Symbolic Inference in IoBTs.
MILCOM
Tarek F. Abdelzaher, Nathaniel D. Bastian, Susmit Jha, Lance M. Kaplan, Mani B. Srivastava, Venugopal V. Veeravalli
2022 A* conf
Evidential Reasoning and Learning: a Survey.
IJCAI
Federico Cerutti, Lance M. Kaplan, Murat Sensoy
2022 J jnl
Handling epistemic and aleatory uncertainties in probabilistic circuits.
Mach. Learn.
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
2022 J jnl
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration.
CoRR
Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2022 J jnl
Research Note on Uncertain Probabilities and Abstract Argumentation.
CoRR
Pietro Baroni, Federico Cerutti, Massimiliano Giacomin, Lance M. Kaplan, Murat Sensoy
2022 C conf
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks.
FUSION
Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska, Federico Cerutti, Kumar Vijay Mishra, Alfred O. Hero III
2022 J jnl
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks.
CoRR
Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska, Federico Cerutti, Kumar Vijay Mishra, Alfred O. Hero III
2022 J jnl
Uncertain Bayesian Networks: Learning from Incomplete Data.
CoRR
Conrad D. Hougen, Lance M. Kaplan, Federico Cerutti, Alfred O. Hero III
2022 C conf
Uncertainty-Aware Quickest Change Detection: An Experimental Study.
FUSION
James Zachary Hare, Lance M. Kaplan
2021 J jnl
A General Framework for Distributed Inference With Uncertain Models.
IEEE Trans. Signal Inf. Process. over Networks
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2021 — conf
DeepSQA: Understanding Sensor Data via Question Answering.
IoTDI
Tianwei Xing, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava
2021 J jnl
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits.
CoRR
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
2021 — conf
Toward Active Sequential Hypothesis Testing with Uncertain Models.
CDC
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2021 C conf
Toward Uncertainty Aware Quickest Change Detection.
FUSION
James Zachary Hare, Lance M. Kaplan, Venugopal V. Veeravalli
2021 C conf
Towards Neural-Symbolic Learning to support Human-Agent Operations.
FUSION
Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan
2021 J jnl
Truth Discovery With Multi-Modal Data in Social Sensing.
IEEE Trans. Computers
Huajie Shao, Dachun Sun, Shuochao Yao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher
2021 — conf
Uncertain Bayesian Networks: Learning from Incomplete Data.
MLSP
Conrad D. Hougen, Lance M. Kaplan, Federico Cerutti, Alfred O. Hero III
2021 J jnl
Using DeepProbLog to perform Complex Event Processing on an Audio Stream.
CoRR
Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti
2020 J jnl
A General Framework for Distributed Inference with Uncertain Models.
CoRR
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020 J jnl
A Hybrid Neuro-Symbolic Approach for Complex Event Processing.
CoRR
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti
2020 Misc conf
Communication Constrained Learning with Uncertain Models.
ICASSP
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020 J jnl
Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection.
EPJ Data Sci.
Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla
2020 J jnl
HONEM: Learning Embedding for Higher Order Networks.
Big Data
Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla
2020 J jnl
NSL: Hybrid Interpretable Learning From Noisy Raw Data.
CoRR
Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan
2020 Misc conf
Neuroplex: learning to detect complex events in sensor networks through knowledge injection.
SenSys
Tianwei Xing, Luis Garcia, Marc Roig Vilamala, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava
2020 J jnl
Non-Bayesian Social Learning With Uncertain Models.
IEEE Trans. Signal Process.
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020 C conf
Non-Bayesian Social Learning with Gaussian Uncertain Models.
ACC
James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020 — conf
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems.
CogMI
Benjamin M. Marlin, Tarek F. Abdelzaher, Gabriela F. Ciocarlie, Adam D. Cobb, Mark Dennison, Brian Jalaian, Lance M. Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K. Sharma, Mani B. Srivastava, Theron Trout, Meet P. Vadera, Maggie B. Wigness
2020 J jnl
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI.
Patterns
Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan
2020 C conf
Second-Order Learning and Inference using Incomplete Data for Uncertain Bayesian Networks: A Two Node Example.
FUSION
Lance M. Kaplan, Federico Cerutti, Murat Sensoy, Kumar Vijay Mishra
2020 J jnl
Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams.
CoRR
Dave Braines, Federico Cerutti, Marc Roig Vilamala, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Gavin Pearson
2020 A* conf
Uncertainty-Aware Deep Classifiers Using Generative Models.
AAAI
Murat Sensoy, Lance M. Kaplan, Federico Cerutti, Maryam Saleki
2020 J jnl
Uncertainty-Aware Deep Classifiers using Generative Models.
CoRR
Murat Sensoy, Lance M. Kaplan, Federico Cerutti, Maryam Saleki
2019 A* conf
A Semi-Supervised Active-learning Truth Estimator for Social Networks.
WWW
Hang Cui, Tarek F. Abdelzaher, Lance M. Kaplan
2019 J jnl
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining.
CoRR
Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han
2019 B conf
DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information.
SMARTCOMP
Tianwei Xing, Marc Roig Vilamala, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava
2019 B conf
Edge-Assisted Detection and Summarization of Key Global Events from Distributed Crowd-Sensed Data.
IC2E
Abdelrahman Fahim, Ajaya Neupane, Evangelos E. Papalexakis, Lance M. Kaplan, Srikanth V. Krishnamurthy, Tarek F. Abdelzaher
2019 J jnl
HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data.
CoRR
Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla
2019 J jnl
Non-Bayesian Social Learning with Gaussian Uncertain Models.
CoRR
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2019 — conf
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs.
CDC
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
2019 J jnl
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs.
CoRR
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
2019 J jnl
Non-Bayesian Social Learning with Uncertain Models.
CoRR
James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2019 C conf
On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models.
FUSION
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2019 J jnl
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units.
CoRR
Lakmal Meegahapola, Vengateswaran Subramaniam, Lance M. Kaplan, Archan Misra
2019 A* conf
Probabilistic Logic Programming with Beta-Distributed Random Variables.
AAAI
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
2019 J jnl
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks.
CoRR
Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho
2019 A* conf
Spherical Text Embedding.
NeurIPS
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
2019 J jnl
Spherical Text Embedding.
CoRR
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
2019 J jnl
The Age of Social Sensing.
Computer
Dong Wang, Boleslaw K. Szymanski, Tarek F. Abdelzaher, Heng Ji, Lance M. Kaplan
2019 — ch.
Uncertainty Characterization and Fusion of Information from Unreliable Sources.
Information Quality in Information Fusion and Decision Making
Lance M. Kaplan, Murat Sensoy
2019 C conf
Unsupervised Fact-finding with Multi-modal Data in Social Sensing.
FUSION
Huajie Shao, Shuochao Yao, Yiran Zhao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher
2018 A* conf
A Constrained Maximum Likelihood Estimator for Unguided Social Sensing.
INFOCOM
Huajie Shao, Shuochao Yao, Yiran Zhao, Chao Zhang, Jinda Han, Lance M. Kaplan, Lu Su, Tarek F. Abdelzaher
2018 J jnl
A Fundamental Limitation on Maximum Parameter Dimension for Accurate Estimation With Quantized Data.
IEEE Trans. Inf. Theory
Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan, Xuanxuan Lu
2018 A conf
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks.
SDM
Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
2018 J jnl
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks.
CoRR
Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
2018 J jnl
Attack Detection in Sensor Network Target Localization Systems With Quantized Data.
IEEE Trans. Signal Process.
Jiangfan Zhang, Xiaodong Wang, Rick S. Blum, Lance M. Kaplan
2018 A* conf
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data.
ICDM
Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han
2018 J jnl
Efficient belief propagation in second-order Bayesian networks for singly-connected graphs.
Int. J. Approx. Reason.
Lance M. Kaplan, Magdalena Ivanovska
2018 A* conf
Evidential Deep Learning to Quantify Classification Uncertainty.
NeurIPS
Murat Sensoy, Lance M. Kaplan, Melih Kandemir
2018 J jnl
Evidential Deep Learning to Quantify Classification Uncertainty.
CoRR
Murat Sensoy, Melih Kandemir, Lance M. Kaplan
2018 J jnl
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
ACM Trans. Intell. Syst. Technol.
Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance M. Kaplan, Shaowen Wang, Jiawei Han
2018 C conf
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis.
FUSION
Federico Cerutti, Moustafa Alzantot, Tianwei Xing, Daniel Harborne, Jonathan Z. Bakdash, Dave Braines, Supriyo Chakraborty, Lance M. Kaplan, Angelika Kimmig, Alun D. Preece, Ramya Raghavendra, Murat Sensoy, Mani B. Srivastava
2018 B conf
NEST: Efficient Transport of Data Summaries over Named Data Networks.
Networking
Karim Khalil, Azeem Aqil, Srikanth V. Krishnamurthy, Tarek F. Abdelzaher, Lance M. Kaplan
2018 J jnl
Probabilistic Logic Programming with Beta-Distributed Random Variables.
CoRR
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
2018 B conf
Recursive Truth Estimation of Time-Varying Sensing Data from Online Open Sources.
DCOSS
Hang Cui, Tarek F. Abdelzaher, Lance M. Kaplan
2018 J jnl
The Age of Social Sensing.
CoRR
Dong Wang, Boleslaw K. Szymanski, Tarek F. Abdelzaher, Heng Ji, Lance M. Kaplan
2018 J jnl
Towards Quality Aware Information Integration in Distributed Sensing Systems.
IEEE Trans. Parallel Distributed Syst.
Wenjun Jiang, Chenglin Miao, Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue (Steve) Liu, Yan Gao, Lance M. Kaplan
2018 C conf
Trust Estimation of Sources Over Correlated Propositions.
FUSION
Lance M. Kaplan, Murat Sensoy
2018 J jnl
Uncertainty Aware AI ML: Why and How.
CoRR
Lance M. Kaplan, Federico Cerutti, Murat Sensoy, Alun D. Preece, Paul Sullivan
2017 B conf
Accurate and Timely Situation Awareness Retrieval from a Bandwidth Constrained Camera Network.
MASS
Tuan Dao, Amit K. Roy-Chowdhury, Nasser M. Nasrabadi, Srikanth V. Krishnamurthy, Prasant Mohapatra, Lance M. Kaplan
2017 J jnl
Attack Detection in Sensor Network Target Localization Systems with Quantized Data.
CoRR
Jiangfan Zhang, Xiaodong Wang, Rick S. Blum, Lance M. Kaplan
2017 J jnl
ClariSense+: An enhanced traffic anomaly explanation service using social network feeds.
Pervasive Mob. Comput.
Prasanna Giridhar, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Dong Wang, Lance M. Kaplan, Jemin George, Raghu K. Ganti
2017 Misc conf
Cyber attacks on estimation sensor networks and iots: Impact, mitigation and implications to unattacked systems.
ICASSP
Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan
2017 J jnl
Detecting Anomalies in Sequential Data with Higher-order Networks.
CoRR
Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla
2017 — conf
Distributed opportunistic sensing and fusion for traffic congestion detection.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Alistair Nottle, Daniel Harborne, Dave Braines, Moustafa Alzantot, Santiago Quintana-Amate, Richard Tomsett, Lance M. Kaplan, Mani B. Srivastava, Supriyo Chakraborty, Alun D. Preece
2017 J jnl
Embedding Learning with Events in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng.
Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Lance M. Kaplan, Jiawei Han
2017 A conf
Energy Efficient Object Detection in Camera Sensor Networks.
ICDCS
Tuan Dao, Karim Khalil, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Lance M. Kaplan
2017 J jnl
From the Editor-in-Chief.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2017 J jnl
From the Editor-in-Chief.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2017 J jnl
From the Editor-in-Chief.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2017 J jnl
Functional Forms of Optimum Spoofing Attacks for Vector Parameter Estimation in Quantized Sensor Networks.
IEEE Trans. Signal Process.
Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan, Xuanxuan Lu
2017 — conf
Graphical approach for influence maximization in social networks under generic threshold-based non-submodular model.
IEEE BigData
Liang Ma, Guohong Cao, Lance M. Kaplan
2017 A* conf
Identifying Semantically Deviating Outlier Documents.
EMNLP
Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han
2017 C conf
Joint tracking and power level estimation of multiple targets using a proximity sensor network.
FUSION
Qiang Le, Lance M. Kaplan
2017 A* conf
MetaPAD: Meta Pattern Discovery from Massive Text Corpora.
KDD
Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han
2017 J jnl
MetaPAD: Meta Pattern Discovery from Massive Text Corpora.
CoRR
Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han
2017 A* conf
On localizing urban events with Instagram.
INFOCOM
Prasanna Giridhar, Shiguang Wang, Tarek F. Abdelzaher, Raghu K. Ganti, Lance M. Kaplan, Jemin George
2017 A conf
Optimizing Source Selection in Social Sensing in the Presence of Influence Graphs.
ICDCS
Huajie Shao, Shiguang Wang, Shen Li, Shuochao Yao, Yiran Zhao, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Lance M. Kaplan
2017 — conf
Social Fusion: Integrating Twitter and Instagram for Event Monitoring.
ICAC
Prasanna Giridhar, Shiguang Wang, Tarek F. Abdelzaher, Md. Tanvir Al Amin, Lance M. Kaplan
2017 — conf
StoryLine: Unsupervised Geo-event Demultiplexing in Social Spaces without Location Information.
IoTDI
Shiguang Wang, Prasanna Giridhar, Hongwei Wang, Lance M. Kaplan, Tien Pham, Aylin Yener, Tarek F. Abdelzaher
2017 — conf
Subjective Bayesian Networks and Human-in-the-Loop Situational Understanding.
GKR
Dave Braines, Anna Thomas, Lance M. Kaplan, Murat Sensoy, Jonathan Z. Bakdash, Magdalena Ivanovska, Alun D. Preece, Federico Cerutti
2017 — conf
Unsupervised Event Tracking by Integrating Twitter and Instagram.
SocialSens@CPSWeek
Shiguang Wang, Prasanna Giridhar, Lance M. Kaplan, Tarek F. Abdelzaher
2017 A* conf
Unveiling polarization in social networks: A matrix factorization approach.
INFOCOM
Md. Tanvir Al Amin, Charu C. Aggarwal, Shuochao Yao, Tarek F. Abdelzaher, Lance M. Kaplan
2016 J jnl
A finite point process approach to multi-target localization using transient measurements.
Inf. Fusion
Jemin George, Lance M. Kaplan
2016 J jnl
Aggregating Crowdsourced Quantitative Claims: Additive and Multiplicative Models.
IEEE Trans. Knowl. Data Eng.
Wentao Robin Ouyang, Lance M. Kaplan, Alice Toniolo, Mani B. Srivastava, Timothy J. Norman
2016 J jnl
ClariSense+: An enhanced traffic anomaly explanation service using social network feeds.
Pervasive Mob. Comput.
Prasanna Giridhar, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Dong Wang, Lance M. Kaplan, Jemin George, Raghu K. Ganti
2016 — conf
Cross-media Event Extraction and Recommendation.
HLT-NAACL Demos
Di Lu, Clare R. Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William A. Wallace, James A. Hendler, Mei Si, Lance M. Kaplan
2016 C conf
Efficient Subjective Bayesian network belief propagation for trees.
FUSION
Lance M. Kaplan, Magdalena Ivanovska
2016 A* conf
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach.
KDD
Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao
2016 J jnl
From the Editor-in-Chief [February 2016].
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2016 J jnl
From the Editor-in-Chief.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2016 J jnl
From the Editor-in-Chief.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2016 J jnl
Functional Forms of Optimum Spoofing Attacks for Vector Parameter Estimation in Quantized Sensor Networks.
CoRR
Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan, Xuanxuan Lu
2016 A* conf
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
SIGIR
Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han
2016 J jnl
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks.
CoRR
Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng
2016 J jnl
Multi-Dimensional, Phrase-Based Summarization in Text Cubes.
IEEE Data Eng. Bull.
Fangbo Tao, Honglei Zhuang, Chi Wang Yu, Qi Wang, Taylor Cassidy, Lance M. Kaplan, Clare R. Voss, Jiawei Han
2016 A conf
On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds.
ICDCS
Shuochao Yao, Shaohan Hu, Shen Li, Yiran Zhao, Lu Su, Lance M. Kaplan, Aylin Yener, Tarek F. Abdelzaher
2016 B conf
On predicting social unrest using social media.
ASONAM
Rostyslav Korolov, Di Lu, Jingjing Wang, Guangyu Zhou, Claire Bonial, Clare R. Voss, Lance M. Kaplan, William A. Wallace, Jiawei Han, Heng Ji
2016 J jnl
Parallel and Streaming Truth Discovery in Large-Scale Quantitative Crowdsourcing.
IEEE Trans. Parallel Distributed Syst.
Wentao Robin Ouyang, Lance M. Kaplan, Alice Toniolo, Mani B. Srivastava, Timothy J. Norman
2016 C conf
Principles of subjective networks.
FUSION
Audun Jøsang, Lance M. Kaplan
2016 — conf
Recursive Ground Truth Estimator for Social Data Streams.
IPSN
Shuochao Yao, Md. Tanvir Al Amin, Lu Su, Shaohan Hu, Shen Li, Shiguang Wang, Yiran Zhao, Tarek F. Abdelzaher, Lance M. Kaplan, Charu C. Aggarwal, Aylin Yener
2016 A conf
SOBE: Source Behavior Estimation for Subjective Opinions In Multiagent Systems (Extended Abstract).
AAMAS
Murat Sensoy, Lance M. Kaplan, Geeth de Mel, Taha D. Gunes
2016 B conf
Semantic Reasoning with Uncertain Information from Unreliable Sources.
PRIMA
Murat Sensoy, Lance M. Kaplan, Geeth de Mel
2016 C conf
Source behavior discovery for fusion of subjective opinions.
FUSION
Murat Sensoy, Lance M. Kaplan, Geeth de Mel, Taha D. Gunes
2016 J jnl
The Orcid System [From the editor-in-chief].
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2015 — conf
Debiasing crowdsourced quantitative characteristics in local businesses and services.
IPSN
Wentao Robin Ouyang, Lance M. Kaplan, Paul Martin, Alice Toniolo, Mani B. Srivastava, Timothy J. Norman
2015 — conf
Event localization and visualization in social networks.
INFOCOM Workshops
Prasanna Giridhar, Tarek F. Abdelzaher, Jemin George, Lance M. Kaplan
2015 C conf
FUSE-BEE: Fusion of subjective opinions through behavior estimation.
FUSION
Murat Sensoy, Lance M. Kaplan, Gonul Ayci, Geeth de Mel
2015 J jnl
From the Editor-in-Chief.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2015 J jnl
From the Editor-in-Chief.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2015 J jnl
From the editor-in-chief.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2015 J jnl
Fusion of Quantized and Unquantized Sensor Data for Estimation.
IEEE Signal Process. Lett.
David Saska, Rick S. Blum, Lance M. Kaplan
2015 A conf
GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data.
SDM
Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han
2015 A conf
Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network.
SDM
Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han
2015 B conf
Joint Localization of Events and Sources in Social Networks.
DCOSS
Prasanna Giridhar, Shiguang Wang, Tarek F. Abdelzaher, Jemin George, Lance M. Kaplan, Raghu K. Ganti
2015 — conf
On quality of event localization from social network feeds.
PerCom Workshops
Prasanna Giridhar, Tarek F. Abdelzaher, Jemin George, Lance M. Kaplan
2015 J jnl
Partial observable update for subjective logic and its application for trust estimation.
Inf. Fusion
Lance M. Kaplan, Murat Sensoy, Supriyo Chakraborty, Geeth de Mel
2015 J jnl
Reliable social sensing with physical constraints: analytic bounds and performance evaluation.
Real Time Syst.
Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan, Raghu K. Ganti, Shaohan Hu, Hengchang Liu
2015 — conf
Scalable social sensing of interdependent phenomena.
IPSN
Shiguang Wang, Lu Su, Shen Li, Shaohan Hu, Md. Tanvir Al Amin, Hongwei Wang, Shuochao Yao, Lance M. Kaplan, Tarek F. Abdelzaher
2015 — conf
Subjective Networks: Perspectives and Challenges.
GKR
Magdalena Ivanovska, Audun Jøsang, Lance M. Kaplan, Francesco Sambo
2015 J jnl
Subjective logic operators in trust assessment: an empirical study.
Inf. Syst. Frontiers
Federico Cerutti, Lance M. Kaplan, Timothy J. Norman, Nir Oren, Alice Toniolo
2015 J jnl
Time for Introspection [From Editor-in-Cheif].
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2015 C conf
Towards subjective networks: Extending conditional reasoning in subjective logic.
FUSION
Lance M. Kaplan, Magdalena Ivanovska, Audun Jøsang, Francesco Sambo
2015 J jnl
You can't get there from here: sensor scheduling with refocusing delays.
Wirel. Networks
Yosef Alayev, Amotz Bar-Noy, Matthew P. Johnson, Lance M. Kaplan, Thomas F. La Porta
2014 A* conf
Analyzing expert behaviors in collaborative networks.
KDD
Huan Sun, Mudhakar Srivatsa, Shulong Tan, Yang Li, Lance M. Kaplan, Shu Tao, Xifeng Yan
2014 — conf
ClariSense: Clarifying sensor anomalies using social network feeds.
PerCom Workshops
Prasanna Giridhar, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Lance M. Kaplan, Jemin George, Raghu K. Ganti
2014 J jnl
Efficient Solutions Framework for Optimal Multitask Resource Assignments for Data Fusion in Wireless Sensor Networks.
ACM Trans. Sens. Networks
Srikanth Hariharan, Chatschik Bisdikian, Lance M. Kaplan, Tien Pham
2014 J jnl
From the Editors January 2014.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2014 A conf
Generalized Decision Aggregation in Distributed Sensing Systems.
RTSS
Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, Lance M. Kaplan
2014 J jnl
How Are We Doing?
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2014 J jnl
How are we doing? October 2014.
IEEE Trans. Aerosp. Electron. Syst.
Lance M. Kaplan
2014 J jnl
Maximum likelihood analysis of conflicting observations in social sensing.
ACM Trans. Sens. Networks
Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher
2014 C conf
Multi-shooter localization using finite point process.
FUSION
Jemin George, Lance M. Kaplan, Socrates Deligeorges, George Cakiades
2014 J jnl
Provenance-Assisted Classification in Social Networks.
IEEE J. Sel. Top. Signal Process.
Dong Wang, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Dan Roth, Clare R. Voss, Lance M. Kaplan, Stephen Tratz, Jamal Laoudi, Douglas M. Briesch
2014 J jnl
Surrogate mobile sensing.
IEEE Commun. Mag.
Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan
2014 A conf
Towards Cyber-Physical Systems in Social Spaces: The Data Reliability Challenge.
RTSS
Shiguang Wang, Dong Wang, Lu Su, Lance M. Kaplan, Tarek F. Abdelzaher
2014 C conf
Trust estimation and fusion of uncertain information by exploiting consistency.
FUSION
Lance M. Kaplan, Murat Sensoy, Geeth de Mel
2014 — conf
Using humans as sensors: an estimation-theoretic perspective.
IPSN
Dong Wang, Md. Tanvir Al Amin, Shen Li, Tarek F. Abdelzaher, Lance M. Kaplan, Siyu Gu, Chenji Pan, Hengchang Liu, Charu C. Aggarwal, Raghu K. Ganti, Xinlei Wang, Prasant Mohapatra, Boleslaw K. Szymanski, Hieu Khac Le
2013 C conf
A fusion architecture for tracking a group of people using a distributed sensor network.
FUSION
Thyagaraju R. Damarla, Lance M. Kaplan
2013 A conf
Exploitation of Physical Constraints for Reliable Social Sensing.
RTSS
Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan, Raghu K. Ganti, Shaohan Hu, Hengchang Liu
2013 J jnl
Impact of In-Network Aggregation on Target Tracking Quality Under Network Delays.
IEEE J. Sel. Areas Commun.
Wei Wei, Ting He, Chatschik Bisdikian, Dennis Goeckel, Bo Jiang, Lance M. Kaplan, Don Towsley
2013 J jnl
On Credibility Estimation Tradeoffs in Assured Social Sensing.
IEEE J. Sel. Areas Commun.
Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal
2013 J jnl
On the quality and value of information in sensor networks.
ACM Trans. Sens. Networks
Chatschik Bisdikian, Lance M. Kaplan, Mani B. Srivastava
2013 J jnl
Optimal Placement of Heterogeneous Sensors for Targets with Gaussian Priors.
IEEE Trans. Aerosp. Electron. Syst.
Chun Yang, Lance M. Kaplan, Erik Blasch, Michael Bakich
2013 J jnl
Probability Hypothesis Density-Based Multitarget Tracking for Proximity Sensor Networks.
IEEE Trans. Aerosp. Electron. Syst.
Qiang Le, Lance M. Kaplan
2013 C conf
Reasoning under uncertainty: Variations of subjective logic deduction.
FUSION
Lance M. Kaplan, Murat Sensoy, Yuqing Tang, Supriyo Chakraborty, Chatschik Bisdikian, Geeth de Mel
2013 A conf
Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications.
ICDCS
Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan, Charu C. Aggarwal
2013 J jnl
Shooter Localization using a Wireless Sensor Network of Soldier-Worn Gunfire Detection Systems.
J. Adv. Inf. Fusion
Jemin George, Lance M. Kaplan
2013 C conf
TRIBE: Trust revision for information based on evidence.
FUSION
Murat Sensoy, Geeth de Mel, Lance M. Kaplan, Tien Pham, Timothy J. Norman
2012 — conf
An obfuscation framework for controlling value of information during sharing.
SSP
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan
2012 C conf
Balancing value and risk in information sharing through obfuscation.
FUSION
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan
2012 A conf
IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems.
SDM
Lu-An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thomas La Porta, Alice Leung, Tarek F. Abdelzaher, Lance M. Kaplan
2012 J jnl
Measuring Two-Event Structural Correlations on Graphs
CoRR
Ziyu Guan, Xifeng Yan, Lance M. Kaplan
2012 J jnl
Measuring Two-Event Structural Correlations on Graphs.
Proc. VLDB Endow.
Ziyu Guan, Xifeng Yan, Lance M. Kaplan
2012 B conf
On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing.
SECON
Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal
2012 — conf
On truth discovery in social sensing: a maximum likelihood estimation approach.
IPSN
Dong Wang, Lance M. Kaplan, Hieu Khac Le, Tarek F. Abdelzaher
2012 J jnl
Performance Measures of Covariance and Information Matrices in Resource Management for Target State Estimation.
IEEE Trans. Aerosp. Electron. Syst.
Chun Yang, Lance M. Kaplan, Erik Blasch
2012 C conf
Subjective logic with uncertain partial observations.
FUSION
Lance M. Kaplan, Supriyo Chakraborty, Chatschik Bisdikian
2011 J jnl
Diffuse Prior Monotonic Likelihood Ratio Test for Evaluation of Fused Image Quality Measures.
IEEE Trans. Image Process.
Chuanming Wei, Lance M. Kaplan, Stephen D. Burks, Rick S. Blum
2011 C conf
Multi-sensor data fusion: An unscented least squares approach.
FUSION
Jemin George, Lance M. Kaplan
2011 C conf
Optimal placement of heterogeneous sensors in target tracking.
FUSION
Chun Yang, Lance M. Kaplan, Erik Blasch, Michael Bakich
2011 C conf
QoI-based resource allocation for multi-target tracking in energy constrained sensor networks.
FUSION
Srikanth Hariharan, Chatschik Bisdikian, Lance M. Kaplan, Tien Pham
2011 C conf
Shooter localization using soldier-worn gunfire detection systems.
FUSION
Jemin George, Lance M. Kaplan
2011 C conf
Target positioning and tracking in degenerate geometry.
FUSION
Chun Yang, Lance M. Kaplan, Erik Blasch, Michael Bakich
2010 B conf
An Ontology-Based Framework for Designing a Sensor Quality of Information Software Library.
Mobile Data Management
Jerrid Matthews, Chatschik Bisdikian, Lance M. Kaplan, Tien Pham
2010 C conf
Design of operation parameters to resolve two targets using proximity sensors.
FUSION
Qiang Le, Lance M. Kaplan
2010 A conf
Quality Tradeoffs in Object Tracking with Duty-Cycled Sensor Networks.
RTSS
Sadaf Zahedi, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan
2010 B conf
You can't get there from here: Sensor scheduling with refocusing delays.
MASS
Yosef Alayev, Amotz Bar-Noy, Matthew P. Johnson, Lance M. Kaplan, Thomas F. La Porta
2009 J jnl
Acoustic sensor network design for position estimation.
ACM Trans. Sens. Networks
Volkan Cevher, Lance M. Kaplan
2009 J jnl
Analysis of Image Quality for Image Fusion via Monotonic Correlation.
IEEE J. Sel. Top. Signal Process.
Lance M. Kaplan, Stephen D. Burks, Rick S. Blum, Richard K. Moore, Quang Nguyen
2009 J jnl
Block Wiener-based image registration for moving target indication.
Image Vis. Comput.
Lance M. Kaplan, Nasser M. Nasrabadi
2009 C conf
Building principles for a quality of information specification for sensor information.
FUSION
Chatschik Bisdikian, Lance M. Kaplan, Mani B. Srivastava, David J. Thornley, Dinesh C. Verma, Robert I. Young
2009 B conf
Detection and Localization Sensor Assignment with Exact and Fuzzy Locations.
DCOSS
Hosam Rowaihy, Matthew P. Johnson, Diego Pizzocaro, Amotz Bar-Noy, Lance M. Kaplan, Thomas La Porta, Alun D. Preece
2009 C conf
Diffuse prior monotonic likelihood ratio test for evaluation of fused image quality metrics.
FUSION
Chuanming Wei, Lance M. Kaplan, Stephen D. Burks, Rick S. Blum
2008 — conf
Pareto Frontiers of Sensor Networks for Localization.
IPSN
Volkan Cevher, Lance M. Kaplan
2008 J jnl
Pruned Multiangle Resolution Fast Beamforming.
EURASIP J. Adv. Signal Process.
Yeo-Sun Yoon, Lance M. Kaplan, Seung-Mok Oh, James H. McClellan
2008 B conf
QoI for passive acoustic gunfire localization.
MASS
Lance M. Kaplan, Thyagaraju R. Damarla, Tien Pham
2007 C conf
Human infrastructure & human activity detection.
FUSION
Thyagaraju R. Damarla, Lance M. Kaplan, Alex L. Chan
2006 — conf
Adaptive Sampling via Histogram Equalization using an Active Walker Model.
ACIS-ICIS
Oladipo O. Fadiran, Péter Molnár, Lance M. Kaplan
2006 C conf
Algorithms for the selection of the active sensors in distributed tracking: comparison between Frisbee and GNS methods.
FUSION
Agostino Capponi, Concetta Pilotto, Giovanni Golino, Alfonso Farina, Lance M. Kaplan
2006 C conf
Connectivity for the Frisbee Architecture.
FUSION
Agostino Capponi, Concetta Pilotto, Alfonso Farina, Giovanni Golino, Lance M. Kaplan
2006 J jnl
TOPS: new DOA estimator for wideband signals.
IEEE Trans. Signal Process.
Yeo-Sun Yoon, Lance M. Kaplan, James H. McClellan
2005 J jnl
On exploiting propagation delays for passive target localization using bearings-only measurements.
J. Frankl. Inst.
Lance M. Kaplan, Qiang Le
2005 — conf
Towards quantifying clutter in hyperspectral infrared images.
Circuits, Signals, and Systems
Oladipo O. Fadiran, Péter Molnár, Lance M. Kaplan
2004 B conf
A comparison of the octave-band directional filter bank and gabor filters for texture classification.
ICIP
Paul S. Hong, Lance M. Kaplan, Mark J. T. Smith
2004 — conf
Direction-of-arrival estimation of wideband sources using arbitrary shaped multidimensional arrays.
ICASSP (2)
Yeo-Sun Yoon, Lance M. Kaplan, James H. McClellan
2003 — conf
New signal subspace direction-of-arrival estimator for wideband sources.
ICASSP (5)
Yeo-Sun Yoon, Lance M. Kaplan, James H. McClellan
2003 J jnl
Pose estimation of SAR imagery using the two dimensional continuous wavelet transform.
Pattern Recognit. Lett.
Lance M. Kaplan, Romain Murenzi
2001 Misc conf
Maximum likelihood methods for bearings-only target localization.
ICASSP
Lance M. Kaplan, Qiang Le, Péter Molnár
2000 B conf
Error Analysis for Quadtree Image Formation.
ICIP
Lance M. Kaplan, Seung-Mok Oh, Matthew Cobb, James H. McClellan
2000 B conf
Image Metrics for Clutter Characterization.
ICIP
Kameswara Rao Namuduri, Karim Bouyoucef, Lance M. Kaplan
1999 J jnl
Extended fractal analysis for texture classification and segmentation.
IEEE Trans. Image Process.
Lance M. Kaplan
1998 Misc conf
Evaluation of CFAR and texture based target detection statistics on SAR imagery.
ICASSP
Lance M. Kaplan, Romain Murenzi
1998 — conf
Fast Texture Database Retrieval Using Extended Fractal Features.
Storage and Retrieval for Image and Video Databases (SPIE)
Lance M. Kaplan, Romain Murenzi, Kameswara Rao Namuduri
1997 — conf
Texture Segmentation using Multiscale Hurst Features.
ICIP (3)
Lance M. Kaplan, Romain Murenzi
1996 J jnl
An improved method for 2-D self-similar image synthesis.
IEEE Trans. Image Process.
Lance M. Kaplan, C.-C. Jay Kuo
1995 Misc conf
Fast image synthesis using an extended self-similar (ESS) model.
ICASSP
Lance M. Kaplan, C.-C. Jay Kuo
1995 J jnl
Texture Roughness Analysis and Synthesis via Extended Self-Similar (ESS) Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Lance M. Kaplan, C.-C. Jay Kuo
1995 J jnl
Texture Segmentation via Haar Fractal Feature Estimation.
J. Vis. Commun. Image Represent.
Lance M. Kaplan, C.-C. Jay Kuo
1994 — conf
Beyond Self-Similarity for Landscale Modeling.
ICIP (1)
Lance M. Kaplan, C.-C. Jay Kuo
1994 J jnl
Extending self-similarity for fractional Brownian motion.
IEEE Trans. Signal Process.
Lance M. Kaplan, C.-C. Jay Kuo
1994 — conf
Signal modeling using increments of extended self-similar processes.
ICASSP (4)
Lance M. Kaplan, C.-C. Jay Kuo
1993 — conf
An improved algorithm for fractal estimation from noisy measurements.
ICASSP (4)
Lance M. Kaplan, C.-C. Jay Kuo
1993 J jnl
Fractal estimation from noisy data via discrete fractional Gaussian noise (DFGN) and the Haar basis.
IEEE Trans. Signal Process.
Lance M. Kaplan, C.-C. Jay Kuo