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2020 – today
- 2025
[j72]Murat Sensoy, Lance M. Kaplan, Simon Julier, Maryam Saleki, Federico Cerutti:
Risk-aware classification via uncertainty quantification. Expert Syst. Appl. 265: 125906 (2025)- 2024
- [j71]Zhen Guo, Zelin Wan
, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho:
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Inf. Fusion 101: 101987 (2024) - [c128]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:
TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action. FUSION 2024: 1-8 - [c127]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti:
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer. FUSION 2024: 1-8 - [c126]James Z. Hare, Yuchen Liang, Lance M. Kaplan, Venugopal V. Veeravalli:
On Network Quickest Change Detection with Uncertain Models: An Experimental Study. FUSION 2024: 1-8 - [c125]Lance M. Kaplan, James Zachary Hare:
Asymptotic Analysis of Uncertain Naïve Bayes via Second-Order Probabilities. FUSION 2024: 1-8 - [c124]Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen:
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR 2024 - [c123]Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava:
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. IROS 2024: 8563-8570 - [i42]Ho Lyun Jeong, Ziqi Wang, Colin Samplawski, Jason Wu, Shiwei Fang, Lance M. Kaplan, Deepak Ganesan, Benjamin M. Marlin, Mani Srivastava:
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors. CoRR abs/2402.14136 (2024) - [i41]Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen:
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR abs/2404.10980 (2024) - [i40]Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho:
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. CoRR abs/2404.18826 (2024) - [i39]Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava:
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. CoRR abs/2406.06796 (2024) - [i38]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Federico Cerutti:
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data. CoRR abs/2407.04733 (2024) - [i37]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti:
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer. CoRR abs/2407.04734 (2024) - [i36]Murat Sensoy, Lance M. Kaplan, Simon Julier, Maryam Saleki, Federico Cerutti:
Risk-aware Classification via Uncertainty Quantification. CoRR abs/2412.03391 (2024) - 2023
- [j70]Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Syst. Appl. 215: 119376 (2023) - [j69]Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance M. Kaplan, Audun Jøsang, Soo-Yeon Ji:
Interactive Web-Based Visual Analysis on Network Traffic Data. Inf. 14(1): 16 (2023) - [j68]Abdulrahman Fahim, Evangelos E. Papalexakis, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Lance M. Kaplan, Tarek F. Abdelzaher:
AcTrak: Controlling a Steerable Surveillance Camera using Reinforcement Learning. ACM Trans. Cyber Phys. Syst. 7(2): 14:1-14:27 (2023) - [c122]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Federico Cerutti:
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data. FUSION 2023: 1-8 - [c121]Michael Kenneth McDonald, Lance M. Kaplan, Van Nguyen:
Bounded Subjective Opinions. FUSION 2023: 1-8 - [c120]James Zachary Hare, Lance M. Kaplan:
Improved Small Sample Hypothesis Testing Using the Uncertain Likelihood Ratio. ICASSP 2023: 1-5 - [c119]Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen:
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP 2023: 1-5 - [c118]Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. ICWS 2023: 722-724 - [i35]Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. CoRR abs/2302.10195 (2023) - [i34]Cai Davies, Marc Roig Vilamala, Alun D. Preece, Federico Cerutti, Lance M. Kaplan, Supriyo Chakraborty:
Knowledge from Uncertainty in Evidential Deep Learning. CoRR abs/2310.12663 (2023) - [i33]Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart, Lance M. Kaplan:
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers. CoRR abs/2312.02912 (2023) - 2022
- [j67]Abdulrahman Fahim, Ajaya Neupane, Evangelos E. Papalexakis, Lance M. Kaplan, Srikanth V. Krishnamurthy, Tarek F. Abdelzaher:
BigEye: Detection and Summarization of Key Global Events From Distributed Crowdsensed Data. IEEE Internet Things J. 9(12): 9749-9765 (2022) - [j66]Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Handling epistemic and aleatory uncertainties in probabilistic circuits. Mach. Learn. 111(4): 1259-1301 (2022) - [c117]James Zachary Hare, Lance M. Kaplan:
Uncertainty-Aware Quickest Change Detection: An Experimental Study. FUSION 2022: 1-8 - [c116]Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska, Federico Cerutti, Kumar Vijay Mishra, Alfred O. Hero III:
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks. FUSION 2022: 1-8 - [c115]Federico Cerutti, Lance M. Kaplan, Murat Sensoy:
Evidential Reasoning and Learning: a Survey. IJCAI 2022: 5418-5425 - [c114]Tarek F. Abdelzaher, Nathaniel D. Bastian, Susmit Jha, Lance M. Kaplan, Mani B. Srivastava, Venugopal V. Veeravalli:
Context-aware Collaborative Neuro-Symbolic Inference in IoBTs. MILCOM 2022: 1053-1058 - [i32]Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang:
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR abs/2206.05675 (2022) - [i31]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:
Automatic Concept Extraction for Concept Bottleneck-based Video Classification. CoRR abs/2206.10129 (2022) - [i30]Conrad D. Hougen, Lance M. Kaplan, Federico Cerutti, Alfred O. Hero III:
Uncertain Bayesian Networks: Learning from Incomplete Data. CoRR abs/2208.04221 (2022) - [i29]Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska, Federico Cerutti, Kumar Vijay Mishra, Alfred O. Hero III:
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks. CoRR abs/2208.07368 (2022) - [i28]Pietro Baroni, Federico Cerutti, Massimiliano Giacomin, Lance M. Kaplan, Murat Sensoy:
Research Note on Uncertain Probabilities and Abstract Argumentation. CoRR abs/2208.10932 (2022) - [i27]Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR abs/2212.06343 (2022) - 2021
- [j65]Huajie Shao, Dachun Sun, Shuochao Yao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher:
Truth Discovery With Multi-Modal Data in Social Sensing. IEEE Trans. Computers 70(9): 1325-1337 (2021) - [j64]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
A General Framework for Distributed Inference With Uncertain Models. IEEE Trans. Signal Inf. Process. over Networks 7: 392-405 (2021) - [c113]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Toward Active Sequential Hypothesis Testing with Uncertain Models. CDC 2021: 3709-3716 - [c112]Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan:
Towards Neural-Symbolic Learning to support Human-Agent Operations. FUSION 2021: 1-8 - [c111]James Zachary Hare, Lance M. Kaplan, Venugopal V. Veeravalli:
Toward Uncertainty Aware Quickest Change Detection. FUSION 2021: 1-8 - [c110]Tianwei Xing, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
DeepSQA: Understanding Sensor Data via Question Answering. IoTDI 2021: 106-118 - [c109]Conrad D. Hougen, Lance M. Kaplan, Federico Cerutti, Alfred O. Hero III:
Uncertain Bayesian Networks: Learning from Incomplete Data. MLSP 2021: 1-6 - [i26]Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits. CoRR abs/2102.10865 (2021) - [i25]Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
Using DeepProbLog to perform Complex Event Processing on an Audio Stream. CoRR abs/2110.08090 (2021) - 2020
- [j63]Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla:
HONEM: Learning Embedding for Higher Order Networks. Big Data 8(4): 255-269 (2020) - [j62]Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla:
Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection. EPJ Data Sci. 9(1): 15 (2020) - [j61]Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan:
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. Patterns 1(4): 100049 (2020) - [j60]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning With Uncertain Models. IEEE Trans. Signal Process. 68: 4178-4193 (2020) - [c108]Murat Sensoy, Lance M. Kaplan, Federico Cerutti, Maryam Saleki:
Uncertainty-Aware Deep Classifiers Using Generative Models. AAAI 2020: 5620-5627 - [c107]James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Gaussian Uncertain Models. ACC 2020: 4484-4490 - [c106]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:
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. CogMI 2020: 82-91 - [c105]Lance M. Kaplan, Federico Cerutti, Murat Sensoy, Kumar Vijay Mishra:
Second-Order Learning and Inference using Incomplete Data for Uncertain Bayesian Networks: A Two Node Example. FUSION 2020: 1-8 - [c104]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Communication Constrained Learning with Uncertain Models. ICASSP 2020: 8609-8613 - [c103]Tianwei Xing, Luis Garcia, Marc Roig Vilamala, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
Neuroplex: learning to detect complex events in sensor networks through knowledge injection. SenSys 2020: 489-502 - [i24]Murat Sensoy, Lance M. Kaplan, Federico Cerutti, Maryam Saleki:
Uncertainty-Aware Deep Classifiers using Generative Models. CoRR abs/2006.04183 (2020) - [i23]Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
A Hybrid Neuro-Symbolic Approach for Complex Event Processing. CoRR abs/2009.03420 (2020) - [i22]Dave Braines, Federico Cerutti, Marc Roig Vilamala, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Gavin Pearson:
Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams. CoRR abs/2010.12327 (2020) - [i21]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
A General Framework for Distributed Inference with Uncertain Models. CoRR abs/2011.10669 (2020) - [i20]Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan:
NSL: Hybrid Interpretable Learning From Noisy Raw Data. CoRR abs/2012.05023 (2020)
2010 – 2019
- 2019
- [j59]Dong Wang, Boleslaw K. Szymanski, Tarek F. Abdelzaher, Heng Ji, Lance M. Kaplan:
The Age of Social Sensing. Computer 52(1): 36-45 (2019) - [c102]Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Probabilistic Logic Programming with Beta-Distributed Random Variables. AAAI 2019: 7769-7776 - [c101]César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. CDC 2019: 3635-3640 - [c100]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models. FUSION 2019: 1-8 - [c99]Huajie Shao, Shuochao Yao, Yiran Zhao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher:
Unsupervised Fact-finding with Multi-modal Data in Social Sensing. FUSION 2019: 1-8 - [c98]Abdelrahman Fahim, Ajaya Neupane, Evangelos E. Papalexakis, Lance M. Kaplan, Srikanth V. Krishnamurthy, Tarek F. Abdelzaher:
Edge-Assisted Detection and Summarization of Key Global Events from Distributed Crowd-Sensed Data. IC2E 2019: 76-85 - [c97]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. NeurIPS 2019: 8206-8215 - [c96]Tianwei Xing, Marc Roig Vilamala, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information. SMARTCOMP 2019: 87-92 - [c95]Hang Cui, Tarek F. Abdelzaher, Lance M. Kaplan:
A Semi-Supervised Active-learning Truth Estimator for Social Networks. WWW 2019: 296-306 - [p1]Lance M. Kaplan, Murat Sensoy:
Uncertainty Characterization and Fusion of Information from Unreliable Sources. Information Quality in Information Fusion and Decision Making 2019: 109-133 - [i19]Lakmal Meegahapola, Vengateswaran Subramaniam, Lance M. Kaplan, Archan Misra:
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units. CoRR abs/1907.02711 (2019) - [i18]Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla:
HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data. CoRR abs/1908.05387 (2019) - [i17]César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. CoRR abs/1909.04255 (2019) - [i16]James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models. CoRR abs/1909.09228 (2019) - [i15]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i14]Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho:
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. CoRR abs/1910.06864 (2019) - [i13]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Gaussian Uncertain Models. CoRR abs/1910.11251 (2019) - [i12]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. CoRR abs/1911.01196 (2019) - 2018
- [j58]Lance M. Kaplan, Magdalena Ivanovska:
Efficient belief propagation in second-order Bayesian networks for singly-connected graphs. Int. J. Approx. Reason. 93: 132-152 (2018) - [j57]Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance M. Kaplan, Shaowen Wang, Jiawei Han:
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams. ACM Trans. Intell. Syst. Technol. 9(3): 34:1-34:24 (2018) - [j56]Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan, Xuanxuan Lu:
A Fundamental Limitation on Maximum Parameter Dimension for Accurate Estimation With Quantized Data. IEEE Trans. Inf. Theory 64(9): 6180-6195 (2018) - [j55]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:
Towards Quality Aware Information Integration in Distributed Sensing Systems. IEEE Trans. Parallel Distributed Syst. 29(1): 198-211 (2018) - [j54]Jiangfan Zhang, Xiaodong Wang, Rick S. Blum, Lance M. Kaplan:
Attack Detection in Sensor Network Target Localization Systems With Quantized Data. IEEE Trans. Signal Process. 66(8): 2070-2085 (2018) - [c94]Hang Cui, Tarek F. Abdelzaher, Lance M. Kaplan:
Recursive Truth Estimation of Time-Varying Sensing Data from Online Open Sources. DCOSS 2018: 25-34 - [c93]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:
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. FUSION 2018: 1-8 - [c92]Lance M. Kaplan, Murat Sensoy:
Trust Estimation of Sources Over Correlated Propositions. FUSION 2018: 414-421 - [c91]Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han:
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. ICDM 2018: 1260-1265 - [c90]Huajie Shao, Shuochao Yao, Yiran Zhao, Chao Zhang, Jinda Han, Lance M. Kaplan, Lu Su, Tarek F. Abdelzaher:
A Constrained Maximum Likelihood Estimator for Unguided Social Sensing. INFOCOM 2018: 2429-2437 - [c89]Karim Khalil, Azeem Aqil, Srikanth V. Krishnamurthy, Tarek F. Abdelzaher, Lance M. Kaplan:
NEST: Efficient Transport of Data Summaries over Named Data Networks. Networking 2018: 280-288 - [c88]Murat Sensoy, Lance M. Kaplan, Melih Kandemir:
Evidential Deep Learning to Quantify Classification Uncertainty. NeurIPS 2018: 3183-3193 - [c87]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM 2018: 144-152 - [i11]Dong Wang, Boleslaw K. Szymanski, Tarek F. Abdelzaher, Heng Ji, Lance M. Kaplan:
The Age of Social Sensing. CoRR abs/1801.09116 (2018) - [i10]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR abs/1803.01848 (2018) - [i9]Murat Sensoy, Melih Kandemir, Lance M. Kaplan:
Evidential Deep Learning to Quantify Classification Uncertainty. CoRR abs/1806.01768 (2018) - [i8]Lance M. Kaplan, Federico Cerutti, Murat Sensoy, Alun D. Preece, Paul Sullivan:
Uncertainty Aware AI ML: Why and How. CoRR abs/1809.07882 (2018) - [i7]Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Probabilistic Logic Programming with Beta-Distributed Random Variables. CoRR abs/1809.07888 (2018) - 2017
- [j53]Prasanna Giridhar, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Dong Wang, Lance M. Kaplan, Jemin George, Raghu K. Ganti:
ClariSense+: An enhanced traffic anomaly explanation service using social network feeds. Pervasive Mob. Comput. 41: 381-396 (2017) - [j52]Lance M. Kaplan:
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 53(1): 1 (2017) - [j51]Lance M. Kaplan:
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 53(2): 543 (2017) - [j50]Lance M. Kaplan:
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 53(6): 2650 (2017) - [j49]Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Lance M. Kaplan, Jiawei Han:
Embedding Learning with Events in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 29(11): 2428-2441 (2017) - [j48]Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan, Xuanxuan Lu:
Functional Forms of Optimum Spoofing Attacks for Vector Parameter Estimation in Quantized Sensor Networks. IEEE Trans. Signal Process. 65(3): 705-720 (2017) - [c86]Liang Ma, Guohong Cao, Lance M. Kaplan:
Graphical approach for influence maximization in social networks under generic threshold-based non-submodular model. IEEE BigData 2017: 970-975 - [c85]Shiguang Wang, Prasanna Giridhar, Lance M. Kaplan, Tarek F. Abdelzaher:
Unsupervised Event Tracking by Integrating Twitter and Instagram. SocialSens@CPSWeek 2017: 81-86 - [c84]Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han:
Identifying Semantically Deviating Outlier Documents. EMNLP 2017: 2748-2757 - [c83]Qiang Le, Lance M. Kaplan:
Joint tracking and power level estimation of multiple targets using a proximity sensor network. FUSION 2017: 1-8 - [c82]Dave Braines, Anna Thomas, Lance M. Kaplan, Murat Sensoy, Jonathan Z. Bakdash, Magdalena Ivanovska, Alun D. Preece, Federico Cerutti:
Subjective Bayesian Networks and Human-in-the-Loop Situational Understanding. GKR 2017: 29-53 - [c81]Prasanna Giridhar, Shiguang Wang, Tarek F. Abdelzaher, Md. Tanvir Al Amin, Lance M. Kaplan:
Social Fusion: Integrating Twitter and Instagram for Event Monitoring. ICAC 2017: 1-10 - [c80]Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan:
Cyber attacks on estimation sensor networks and iots: Impact, mitigation and implications to unattacked systems. ICASSP 2017: 3316-3320 - [c79]Huajie Shao, Shiguang Wang, Shen Li, Shuochao Yao, Yiran Zhao, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Lance M. Kaplan:
Optimizing Source Selection in Social Sensing in the Presence of Influence Graphs. ICDCS 2017: 1157-1167 - [c78]Tuan Dao, Karim Khalil, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Lance M. Kaplan:
Energy Efficient Object Detection in Camera Sensor Networks. ICDCS 2017: 1208-1218 - [c77]Md. Tanvir Al Amin, Charu C. Aggarwal, Shuochao Yao, Tarek F. Abdelzaher, Lance M. Kaplan:
Unveiling polarization in social networks: A matrix factorization approach. INFOCOM 2017: 1-9 - [c76]Prasanna Giridhar, Shiguang Wang, Tarek F. Abdelzaher, Raghu K. Ganti, Lance M. Kaplan, Jemin George:
On localizing urban events with Instagram. INFOCOM 2017: 1-9 - [c75]Shiguang Wang, Prasanna Giridhar, Hongwei Wang, Lance M. Kaplan, Tien Pham, Aylin Yener, Tarek F. Abdelzaher:
StoryLine: Unsupervised Geo-event Demultiplexing in Social Spaces without Location Information. IoTDI 2017: 83-93 - [c74]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. KDD 2017: 877-886 - [c73]Tuan Dao, Amit K. Roy-Chowdhury, Nasser M. Nasrabadi, Srikanth V. Krishnamurthy, Prasant Mohapatra, Lance M. Kaplan:
Accurate and Timely Situation Awareness Retrieval from a Bandwidth Constrained Camera Network. MASS 2017: 416-425 - [c72]Alistair Nottle, Daniel Harborne, Dave Braines, Moustafa Alzantot, Santiago Quintana-Amate, Richard Tomsett, Lance M. Kaplan, Mani B. Srivastava, Supriyo Chakraborty, Alun D. Preece:
Distributed opportunistic sensing and fusion for traffic congestion detection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [i6]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. CoRR abs/1703.04213 (2017) - [i5]Jiangfan Zhang, Xiaodong Wang, Rick S. Blum, Lance M. Kaplan:
Attack Detection in Sensor Network Target Localization Systems with Quantized Data. CoRR abs/1705.05424 (2017) - [i4]Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla:
Detecting Anomalies in Sequential Data with Higher-order Networks. CoRR abs/1712.09658 (2017) - 2016
- [j47]Fangbo Tao, Honglei Zhuang, Chi Wang Yu, Qi Wang, Taylor Cassidy, Lance M. Kaplan, Clare R. Voss, Jiawei Han:
Multi-Dimensional, Phrase-Based Summarization in Text Cubes. IEEE Data Eng. Bull. 39(3): 74-84 (2016) - [j46]Jemin George, Lance M. Kaplan:
A finite point process approach to multi-target localization using transient measurements. Inf. Fusion 32: 62-74 (2016) - [j45]Prasanna Giridhar, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Dong Wang, Lance M. Kaplan, Jemin George, Raghu K. Ganti:
ClariSense+: An enhanced traffic anomaly explanation service using social network feeds. Pervasive Mob. Comput. 33: 140-155 (2016) - [j44]Lance M. Kaplan:
From the Editor-in-Chief [February 2016]. IEEE Trans. Aerosp. Electron. Syst. 52(1): 1 (2016) - [j43]Lance M. Kaplan:
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 52(3): 975-976 (2016) - [j42]Lance M. Kaplan:
The Orcid System [From the editor-in-chief]. IEEE Trans. Aerosp. Electron. Syst. 52(4): 1521 (2016) - [j41]Lance M. Kaplan:
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 52(6): 2611 (2016) - [j40]Wentao Robin Ouyang, Lance M. Kaplan, Alice Toniolo, Mani B. Srivastava, Timothy J. Norman:
Aggregating Crowdsourced Quantitative Claims: Additive and Multiplicative Models. IEEE Trans. Knowl. Data Eng. 28(7): 1621-1634 (2016) - [j39]Wentao Robin Ouyang, Lance M. Kaplan, Alice Toniolo, Mani B. Srivastava, Timothy J. Norman:
Parallel and Streaming Truth Discovery in Large-Scale Quantitative Crowdsourcing. IEEE Trans. Parallel Distributed Syst. 27(10): 2984-2997 (2016) - [c71]Rostyslav Korolov, Di Lu, Jingjing Wang, Guangyu Zhou, Claire Bonial, Clare R. Voss, Lance M. Kaplan, William A. Wallace, Jiawei Han, Heng Ji:
On predicting social unrest using social media. ASONAM 2016: 89-95 - [c70]Murat Sensoy, Lance M. Kaplan, Geeth de Mel, Taha D. Gunes:
SOBE: Source Behavior Estimation for Subjective Opinions In Multiagent Systems (Extended Abstract). AAMAS 2016: 1433-1434 - [c69]Murat Sensoy, Lance M. Kaplan, Geeth de Mel, Taha D. Gunes:
Source behavior discovery for fusion of subjective opinions. FUSION 2016: 138-145 - [c68]Audun Jøsang, Lance M. Kaplan:
Principles of subjective networks. FUSION 2016: 1292-1299 - [c67]Lance M. Kaplan, Magdalena Ivanovska:
Efficient Subjective Bayesian network belief propagation for trees. FUSION 2016: 1300-1307 - [c66]Shuochao Yao, Shaohan Hu, Shen Li, Yiran Zhao, Lu Su, Lance M. Kaplan, Aylin Yener, Tarek F. Abdelzaher:
On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds. ICDCS 2016: 467-476 - [c65]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:
Recursive Ground Truth Estimator for Social Data Streams. IPSN 2016: 14:1-14:12 - [c64]Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao:
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. KDD 2016: 1885-1894 - [c63]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:
Cross-media Event Extraction and Recommendation. HLT-NAACL Demos 2016: 72-76 - [c62]Murat Sensoy, Lance M. Kaplan, Geeth de Mel:
Semantic Reasoning with Uncertain Information from Unreliable Sources. PRIMA 2016: 92-109 - [c61]Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han:
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. SIGIR 2016: 513-522 - [i3]Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan, Xuanxuan Lu:
Functional Forms of Optimum Spoofing Attacks for Vector Parameter Estimation in Quantized Sensor Networks. CoRR abs/1605.07284 (2016) - [i2]Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng:
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. CoRR abs/1610.09769 (2016) - 2015
- [j38]Lance M. Kaplan, Murat Sensoy, Supriyo Chakraborty, Geeth de Mel:
Partial observable update for subjective logic and its application for trust estimation. Inf. Fusion 26: 66-83 (2015) - [j37]Federico Cerutti, Lance M. Kaplan, Timothy J. Norman, Nir Oren, Alice Toniolo:
Subjective logic operators in trust assessment: an empirical study. Inf. Syst. Frontiers 17(4): 743-762 (2015) - [j36]Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan, Raghu K. Ganti, Shaohan Hu, Hengchang Liu:
Reliable social sensing with physical constraints: analytic bounds and performance evaluation. Real Time Syst. 51(6): 724-762 (2015) - [j35]David Saska, Rick S. Blum, Lance M. Kaplan:
Fusion of Quantized and Unquantized Sensor Data for Estimation. IEEE Signal Process. Lett. 22(11): 1927-1930 (2015) - [j34]Lance M. Kaplan:
Time for Introspection [From Editor-in-Cheif]. IEEE Trans. Aerosp. Electron. Syst. 51(1): 1 (2015) - [j33]Lance M. Kaplan:
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 51(2): 801 (2015) - [j32]Lance M. Kaplan:
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 51(3): 1596 (2015) - [j31]Lance M. Kaplan:
From the editor-in-chief. IEEE Trans. Aerosp. Electron. Syst. 51(4): 2509 (2015) - [j30]Yosef Alayev, Amotz Bar-Noy, Matthew P. Johnson, Lance M. Kaplan, Thomas F. La Porta:
You can't get there from here: sensor scheduling with refocusing delays. Wirel. Networks 21(5): 1683-1698 (2015) - [c60]Prasanna Giridhar, Shiguang Wang, Tarek F. Abdelzaher, Jemin George, Lance M. Kaplan, Raghu K. Ganti:
Joint Localization of Events and Sources in Social Networks. DCOSS 2015: 179-188 - [c59]Lance M. Kaplan, Magdalena Ivanovska, Audun Jøsang, Francesco Sambo:
Towards subjective networks: Extending conditional reasoning in subjective logic. FUSION 2015: 319-326 - [c58]Murat Sensoy, Lance M. Kaplan, Gonul Ayci, Geeth de Mel:
FUSE-BEE: Fusion of subjective opinions through behavior estimation. FUSION 2015: 558-565 - [c57]Magdalena Ivanovska, Audun Jøsang, Lance M. Kaplan, Francesco Sambo:
Subjective Networks: Perspectives and Challenges. GKR 2015: 107-124 - [c56]Prasanna Giridhar, Tarek F. Abdelzaher, Jemin George, Lance M. Kaplan:
Event localization and visualization in social networks. INFOCOM Workshops 2015: 35-36 - [c55]Wentao Robin Ouyang, Lance M. Kaplan, Paul Martin, Alice Toniolo, Mani B. Srivastava, Timothy J. Norman:
Debiasing crowdsourced quantitative characteristics in local businesses and services. IPSN 2015: 190-201 - [c54]Shiguang Wang, Lu Su, Shen Li, Shaohan Hu, Md. Tanvir Al Amin, Hongwei Wang, Shuochao Yao, Lance M. Kaplan, Tarek F. Abdelzaher:
Scalable social sensing of interdependent phenomena. IPSN 2015: 202-213 - [c53]Prasanna Giridhar, Tarek F. Abdelzaher, Jemin George, Lance M. Kaplan:
On quality of event localization from social network feeds. PerCom Workshops 2015: 75-80 - [c52]Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han:
GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data. SDM 2015: 388-396 - [c51]Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han:
Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network. SDM 2015: 918-926 - 2014
- [j29]Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan:
Surrogate mobile sensing. IEEE Commun. Mag. 52(8): 36-41 (2014) - [j28]Dong Wang, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Dan Roth, Clare R. Voss, Lance M. Kaplan, Stephen Tratz, Jamal Laoudi, Douglas M. Briesch:
Provenance-Assisted Classification in Social Networks. IEEE J. Sel. Top. Signal Process. 8(4): 624-637 (2014) - [j27]Lance M. Kaplan:
From the Editors January 2014. IEEE Trans. Aerosp. Electron. Syst. 50(1): 1 (2014) - [j26]Lance M. Kaplan:
How Are We Doing? IEEE Trans. Aerosp. Electron. Syst. 50(3): 1615 (2014) - [j25]Lance M. Kaplan:
How are we doing? October 2014. IEEE Trans. Aerosp. Electron. Syst. 50(4): 2415-2416 (2014) - [j24]Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher:
Maximum likelihood analysis of conflicting observations in social sensing. ACM Trans. Sens. Networks 10(2): 30:1-30:27 (2014) - [j23]Srikanth Hariharan, Chatschik Bisdikian, Lance M. Kaplan, Tien Pham:
Efficient Solutions Framework for Optimal Multitask Resource Assignments for Data Fusion in Wireless Sensor Networks. ACM Trans. Sens. Networks 10(3): 48:1-48:26 (2014) - [c50]Jemin George, Lance M. Kaplan, Socrates Deligeorges, George Cakiades:
Multi-shooter localization using finite point process. FUSION 2014: 1-7 - [c49]Lance M. Kaplan, Murat Sensoy, Geeth de Mel:
Trust estimation and fusion of uncertain information by exploiting consistency. FUSION 2014: 1-8 - [c48]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:
Using humans as sensors: an estimation-theoretic perspective. IPSN 2014: 35-46 - [c47]Huan Sun, Mudhakar Srivatsa, Shulong Tan, Yang Li, Lance M. Kaplan, Shu Tao, Xifeng Yan:
Analyzing expert behaviors in collaborative networks. KDD 2014: 1486-1495 - [c46]Prasanna Giridhar, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Lance M. Kaplan, Jemin George, Raghu K. Ganti:
ClariSense: Clarifying sensor anomalies using social network feeds. PerCom Workshops 2014: 395-400 - [c45]Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, Lance M. Kaplan:
Generalized Decision Aggregation in Distributed Sensing Systems. RTSS 2014: 1-10 - [c44]Shiguang Wang, Dong Wang, Lu Su, Lance M. Kaplan, Tarek F. Abdelzaher:
Towards Cyber-Physical Systems in Social Spaces: The Data Reliability Challenge. RTSS 2014: 74-85 - 2013
- [j22]Jemin George, Lance M. Kaplan:
Shooter Localization using a Wireless Sensor Network of Soldier-Worn Gunfire Detection Systems. J. Adv. Inf. Fusion 8(1): 15-32 (2013) - [j21]Wei Wei, Ting He, Chatschik Bisdikian, Dennis Goeckel, Bo Jiang, Lance M. Kaplan, Don Towsley:
Impact of In-Network Aggregation on Target Tracking Quality Under Network Delays. IEEE J. Sel. Areas Commun. 31(4): 808-818 (2013) - [j20]Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal:
On Credibility Estimation Tradeoffs in Assured Social Sensing. IEEE J. Sel. Areas Commun. 31(6): 1026-1037 (2013) - [j19]Qiang Le, Lance M. Kaplan:
Probability Hypothesis Density-Based Multitarget Tracking for Proximity Sensor Networks. IEEE Trans. Aerosp. Electron. Syst. 49(3): 1476-1496 (2013) - [j18]Chun Yang, Lance M. Kaplan, Erik Blasch, Michael Bakich:
Optimal Placement of Heterogeneous Sensors for Targets with Gaussian Priors. IEEE Trans. Aerosp. Electron. Syst. 49(3): 1637-1653 (2013) - [j17]Chatschik Bisdikian, Lance M. Kaplan, Mani B. Srivastava:
On the quality and value of information in sensor networks. ACM Trans. Sens. Networks 9(4): 48:1-48:26 (2013) - [c43]Murat Sensoy, Geeth de Mel, Lance M. Kaplan, Tien Pham, Timothy J. Norman:
TRIBE: Trust revision for information based on evidence. FUSION 2013: 914-921 - [c42]Thyagaraju R. Damarla, Lance M. Kaplan:
A fusion architecture for tracking a group of people using a distributed sensor network. FUSION 2013: 1776-1783 - [c41]Lance M. Kaplan, Murat Sensoy, Yuqing Tang, Supriyo Chakraborty, Chatschik Bisdikian, Geeth de Mel:
Reasoning under uncertainty: Variations of subjective logic deduction. FUSION 2013: 1910-1917 - [c40]Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan, Charu C. Aggarwal:
Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications. ICDCS 2013: 530-539 - [c39]Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan, Raghu K. Ganti, Shaohan Hu, Hengchang Liu:
Exploitation of Physical Constraints for Reliable Social Sensing. RTSS 2013: 212-223 - 2012
- [j16]Ziyu Guan, Xifeng Yan, Lance M. Kaplan:
Measuring Two-Event Structural Correlations on Graphs. Proc. VLDB Endow. 5(11): 1400-1411 (2012) - [j15]Chun Yang, Lance M. Kaplan, Erik Blasch:
Performance Measures of Covariance and Information Matrices in Resource Management for Target State Estimation. IEEE Trans. Aerosp. Electron. Syst. 48(3): 2594-2613 (2012) - [c38]Lance M. Kaplan, Supriyo Chakraborty, Chatschik Bisdikian:
Subjective logic with uncertain partial observations. FUSION 2012: 565-572 - [c37]Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan:
Balancing value and risk in information sharing through obfuscation. FUSION 2012: 1615-1622 - [c36]Dong Wang, Lance M. Kaplan, Hieu Khac Le, Tarek F. Abdelzaher:
On truth discovery in social sensing: a maximum likelihood estimation approach. IPSN 2012: 233-244 - [c35]Lu-An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thomas La Porta, Alice Leung, Tarek F. Abdelzaher, Lance M. Kaplan:
IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems. SDM 2012: 600-611 - [c34]Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal:
On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing. SECON 2012: 506-514 - [c33]Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan:
An obfuscation framework for controlling value of information during sharing. SSP 2012: 157-160 - [i1]Ziyu Guan, Xifeng Yan, Lance M. Kaplan:
Measuring Two-Event Structural Correlations on Graphs. CoRR abs/1208.0221 (2012) - 2011
- [j14]Chuanming Wei, Lance M. Kaplan, Stephen D. Burks, Rick S. Blum:
Diffuse Prior Monotonic Likelihood Ratio Test for Evaluation of Fused Image Quality Measures. IEEE Trans. Image Process. 20(2): 327-344 (2011) - [c32]Jemin George, Lance M. Kaplan:
Multi-sensor data fusion: An unscented least squares approach. FUSION 2011: 1-8 - [c31]Jemin George, Lance M. Kaplan:
Shooter localization using soldier-worn gunfire detection systems. FUSION 2011: 1-8 - [c30]Srikanth Hariharan, Chatschik Bisdikian, Lance M. Kaplan, Tien Pham:
QoI-based resource allocation for multi-target tracking in energy constrained sensor networks. FUSION 2011: 1-8 - [c29]Chun Yang, Lance M. Kaplan, Erik Blasch, Michael Bakich:
Target positioning and tracking in degenerate geometry. FUSION 2011: 1-8 - [c28]Chun Yang, Lance M. Kaplan, Erik Blasch, Michael Bakich:
Optimal placement of heterogeneous sensors in target tracking. FUSION 2011: 1-8 - 2010
- [c27]Qiang Le, Lance M. Kaplan:
Design of operation parameters to resolve two targets using proximity sensors. FUSION 2010: 1-8 - [c26]Yosef Alayev, Amotz Bar-Noy, Matthew P. Johnson, Lance M. Kaplan, Thomas F. La Porta:
You can't get there from here: Sensor scheduling with refocusing delays. MASS 2010: 462-471 - [c25]Jerrid Matthews, Chatschik Bisdikian, Lance M. Kaplan, Tien Pham:
An Ontology-Based Framework for Designing a Sensor Quality of Information Software Library. Mobile Data Management 2010: 264-269 - [c24]Sadaf Zahedi, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan:
Quality Tradeoffs in Object Tracking with Duty-Cycled Sensor Networks. RTSS 2010: 160-169
2000 – 2009
- 2009
- [j13]Lance M. Kaplan, Nasser M. Nasrabadi:
Block Wiener-based image registration for moving target indication. Image Vis. Comput. 27(6): 694-703 (2009) - [j12]Lance M. Kaplan, Stephen D. Burks, Rick S. Blum, Richard K. Moore, Quang Nguyen:
Analysis of Image Quality for Image Fusion via Monotonic Correlation. IEEE J. Sel. Top. Signal Process. 3(2): 222-235 (2009) - [j11]Volkan Cevher, Lance M. Kaplan:
Acoustic sensor network design for position estimation. ACM Trans. Sens. Networks 5(3): 21:1-21:28 (2009) - [c23]Hosam Rowaihy, Matthew P. Johnson, Diego Pizzocaro, Amotz Bar-Noy, Lance M. Kaplan, Thomas La Porta, Alun D. Preece:
Detection and Localization Sensor Assignment with Exact and Fuzzy Locations. DCOSS 2009: 28-43 - [c22]Chuanming Wei, Lance M. Kaplan, Stephen D. Burks, Rick S. Blum:
Diffuse prior monotonic likelihood ratio test for evaluation of fused image quality metrics. FUSION 2009: 1076-1083 - [c21]Chatschik Bisdikian, Lance M. Kaplan, Mani B. Srivastava, David J. Thornley, Dinesh C. Verma, Robert I. Young:
Building principles for a quality of information specification for sensor information. FUSION 2009: 1370-1377 - 2008
- [j10]Yeo-Sun Yoon, Lance M. Kaplan, Seung-Mok Oh, James H. McClellan:
Pruned Multiangle Resolution Fast Beamforming. EURASIP J. Adv. Signal Process. 2008 (2008) - [c20]Volkan Cevher, Lance M. Kaplan:
Pareto Frontiers of Sensor Networks for Localization. IPSN 2008: 27-38 - [c19]Lance M. Kaplan, Thyagaraju R. Damarla, Tien Pham:
QoI for passive acoustic gunfire localization. MASS 2008: 754-759 - 2007
- [c18]Thyagaraju R. Damarla, Lance M. Kaplan, Alex L. Chan:
Human infrastructure & human activity detection. FUSION 2007: 1-8 - 2006
- [j9]Yeo-Sun Yoon, Lance M. Kaplan, James H. McClellan:
TOPS: new DOA estimator for wideband signals. IEEE Trans. Signal Process. 54(6-1): 1977-1989 (2006) - [c17]Oladipo O. Fadiran, Péter Molnár, Lance M. Kaplan:
Adaptive Sampling via Histogram Equalization using an Active Walker Model. ACIS-ICIS 2006: 424-432 - [c16]Agostino Capponi, Concetta Pilotto, Alfonso Farina, Giovanni Golino, Lance M. Kaplan:
Connectivity for the Frisbee Architecture. FUSION 2006: 1-7 - [c15]Agostino Capponi, Concetta Pilotto, Giovanni Golino, Alfonso Farina, Lance M. Kaplan:
Algorithms for the selection of the active sensors in distributed tracking: comparison between Frisbee and GNS methods. FUSION 2006: 1-8 - 2005
- [j8]Lance M. Kaplan, Qiang Le:
On exploiting propagation delays for passive target localization using bearings-only measurements. J. Frankl. Inst. 342(2): 193-211 (2005) - [c14]Oladipo O. Fadiran, Péter Molnár, Lance M. Kaplan:
Towards quantifying clutter in hyperspectral infrared images. Circuits, Signals, and Systems 2005: 228-233 - 2004
- [c13]Yeo-Sun Yoon, Lance M. Kaplan, James H. McClellan:
Direction-of-arrival estimation of wideband sources using arbitrary shaped multidimensional arrays. ICASSP (2) 2004: 221-224 - [c12]Paul S. Hong, Lance M. Kaplan, Mark J. T. Smith:
A comparison of the octave-band directional filter bank and gabor filters for texture classification. ICIP 2004: 1541-1544 - 2003
- [j7]Lance M. Kaplan, Romain Murenzi:
Pose estimation of SAR imagery using the two dimensional continuous wavelet transform. Pattern Recognit. Lett. 24(14): 2269-2280 (2003) - [c11]Yeo-Sun Yoon, Lance M. Kaplan, James H. McClellan:
New signal subspace direction-of-arrival estimator for wideband sources. ICASSP (5) 2003: 225-228 - 2001
- [c10]Lance M. Kaplan, Qiang Le, Péter Molnár:
Maximum likelihood methods for bearings-only target localization. ICASSP 2001: 3001-3004 - 2000
- [c9]Kameswara Rao Namuduri, Karim Bouyoucef, Lance M. Kaplan:
Image Metrics for Clutter Characterization. ICIP 2000: 467-470 - [c8]Lance M. Kaplan, Seung-Mok Oh, Matthew Cobb, James H. McClellan:
Error Analysis for Quadtree Image Formation. ICIP 2000: 717-720
1990 – 1999
- 1999
- [j6]Lance M. Kaplan:
Extended fractal analysis for texture classification and segmentation. IEEE Trans. Image Process. 8(11): 1572-1585 (1999) - 1998
- [c7]Lance M. Kaplan, Romain Murenzi:
Evaluation of CFAR and texture based target detection statistics on SAR imagery. ICASSP 1998: 2141-2144 - [c6]Lance M. Kaplan, Romain Murenzi, Kameswara Rao Namuduri:
Fast Texture Database Retrieval Using Extended Fractal Features. Storage and Retrieval for Image and Video Databases (SPIE) 1998: 162-175 - 1997
- [c5]Lance M. Kaplan, Romain Murenzi:
Texture Segmentation using Multiscale Hurst Features. ICIP (3) 1997: 205-208 - 1996
- [j5]Lance M. Kaplan, C.-C. Jay Kuo:
An improved method for 2-D self-similar image synthesis. IEEE Trans. Image Process. 5(5): 754-761 (1996) - 1995
- [j4]Lance M. Kaplan, C.-C. Jay Kuo:
Texture Segmentation via Haar Fractal Feature Estimation. J. Vis. Commun. Image Represent. 6(4): 387-400 (1995) - [j3]Lance M. Kaplan, C.-C. Jay Kuo:
Texture Roughness Analysis and Synthesis via Extended Self-Similar (ESS) Model. IEEE Trans. Pattern Anal. Mach. Intell. 17(11): 1043-1056 (1995) - [c4]Lance M. Kaplan, C.-C. Jay Kuo:
Fast image synthesis using an extended self-similar (ESS) model. ICASSP 1995: 2575-2578 - 1994
- [j2]Lance M. Kaplan, C.-C. Jay Kuo:
Extending self-similarity for fractional Brownian motion. IEEE Trans. Signal Process. 42(12): 3526-3530 (1994) - [c3]Lance M. Kaplan, C.-C. Jay Kuo:
Signal modeling using increments of extended self-similar processes. ICASSP (4) 1994: 125-128 - [c2]Lance M. Kaplan, C.-C. Jay Kuo:
Beyond Self-Similarity for Landscale Modeling. ICIP (1) 1994: 647-651 - 1993
- [j1]Lance M. Kaplan, C.-C. Jay Kuo:
Fractal estimation from noisy data via discrete fractional Gaussian noise (DFGN) and the Haar basis. IEEE Trans. Signal Process. 41(12): 3554-3562 (1993) - [c1]Lance M. Kaplan, C.-C. Jay Kuo:
An improved algorithm for fractal estimation from noisy measurements. ICASSP (4) 1993: 89-92
Coauthor Index
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the dblp computer science bibliography is funded and supported by:
