Lance M. Kaplan

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 148

Top Venues

CoRR

FUSION

IEEE Trans. Aerosp. Electron. Syst.

IPSN

Publications

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 (2024)
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) (2023)
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 (2023)
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)
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) (2023)
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)
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 (2023)
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)
Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart, Lance M. Kaplan
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers. CoRR (2023)
Cai Davies, Marc Roig Vilamala, Alun D. Preece, Federico Cerutti, Lance M. Kaplan, Supriyo Chakraborty
Knowledge from Uncertainty in Evidential Deep Learning. CoRR (2023)
James Zachary Hare, Lance M. Kaplan
Improved Small Sample Hypothesis Testing Using the Uncertain Likelihood Ratio. ICASSP (2023)
Michael K. McDonald, Lance M. Kaplan, Van Nguyen
Bounded Subjective Opinions. FUSION (2023)
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
Handling epistemic and aleatory uncertainties in probabilistic circuits. Mach. Learn. 111 (4) (2022)
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) (2022)
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 (2022)
Conrad D. Hougen, Lance M. Kaplan, Federico Cerutti, Alfred O. Hero III
Uncertain Bayesian Networks: Learning from Incomplete Data. CoRR (2022)
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)
James Zachary Hare, Lance M. Kaplan
Uncertainty-Aware Quickest Change Detection: An Experimental Study. FUSION (2022)
Federico Cerutti, Lance M. Kaplan, Murat Sensoy
Evidential Reasoning and Learning: a Survey. IJCAI (2022)
Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong H. Jeong, Jin-Hee Cho
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR (2022)
Pietro Baroni, Federico Cerutti, Massimiliano Giacomin, Lance M. Kaplan, Murat Sensoy
Research Note on Uncertain Probabilities and Abstract Argumentation. CoRR (2022)
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)
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong H. Jeong, Audun Jøsang
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR (2022)
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 (2022)
Conrad D. Hougen, Lance M. Kaplan, Federico Cerutti, Alfred O. Hero III
Uncertain Bayesian Networks: Learning from Incomplete Data. MLSP (2021)
Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan
Towards Neural-Symbolic Learning to support Human-Agent Operations. FUSION (2021)
Tianwei Xing, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava
DeepSQA: Understanding Sensor Data via Question Answering. IoTDI (2021)
James Zachary Hare, Lance M. Kaplan, Venugopal V. Veeravalli
Toward Uncertainty Aware Quickest Change Detection. FUSION (2021)
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 (2021)
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 (2021)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Toward Active Sequential Hypothesis Testing with Uncertain Models. CDC (2021)
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) (2021)
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits. CoRR (2021)
Murat Sensoy, Lance M. Kaplan, Federico Cerutti, Maryam Saleki
Uncertainty-Aware Deep Classifiers using Generative Models. CoRR (2020)
Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla
HONEM: Learning Embedding for Higher Order Networks. Big Data 8 (4) (2020)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
A General Framework for Distributed Inference with Uncertain Models. CoRR (2020)
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) (2020)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Communication Constrained Learning with Uncertain Models. ICASSP (2020)
Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan
NSL: Hybrid Interpretable Learning From Noisy Raw Data. CoRR (2020)
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)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning With Uncertain Models. IEEE Trans. Signal Process. 68 (2020)
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)
Murat Sensoy, Lance M. Kaplan, Federico Cerutti, Maryam Saleki
Uncertainty-Aware Deep Classifiers Using Generative Models. AAAI (2020)
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)
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 (2020)
James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning with Gaussian Uncertain Models. ACC (2020)
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 (2020)
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) (2020)
Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. CoRR (2019)
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)
Lakmal Meegahapola, Vengateswaran Subramaniam, Lance M. Kaplan, Archan Misra
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units. CoRR (2019)
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)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models. FUSION (2019)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning with Gaussian Uncertain Models. CoRR (2019)
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)
Hang Cui, Tarek F. Abdelzaher, Lance M. Kaplan
A Semi-Supervised Active-learning Truth Estimator for Social Networks. WWW (2019)
Dong Wang, Boleslaw K. Szymanski, Tarek F. Abdelzaher, Heng Ji, Lance M. Kaplan
The Age of Social Sensing. Computer 52 (1) (2019)
James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning with Uncertain Models. CoRR (2019)
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 (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
Spherical Text Embedding. CoRR (2019)
Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla
HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data. CoRR (2019)
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
Probabilistic Logic Programming with Beta-Distributed Random Variables. AAAI (2019)
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. CoRR (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
Spherical Text Embedding. NeurIPS (2019)
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)
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy
Probabilistic Logic Programming with Beta-Distributed Random Variables. CoRR (2018)
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) (2018)
Murat Sensoy, Melih Kandemir, Lance M. Kaplan
Evidential Deep Learning to Quantify Classification Uncertainty. CoRR (2018)
Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM (2018)
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) (2018)
Murat Sensoy, Lance M. Kaplan, Melih Kandemir
Evidential Deep Learning to Quantify Classification Uncertainty. NeurIPS (2018)
Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR (2018)
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)
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) (2018)
Lance M. Kaplan, Magdalena Ivanovska
Efficient belief propagation in second-order Bayesian networks for singly-connected graphs. Int. J. Approx. Reason. 93 (2018)
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)
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)
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)
Lance M. Kaplan, Murat Sensoy
Trust Estimation of Sources Over Correlated Propositions. FUSION (2018)
Lance M. Kaplan, Federico Cerutti, Murat Sensoy, Alun D. Preece, Paul Sullivan
Uncertainty Aware AI ML: Why and How. CoRR (2018)
Hang Cui, Tarek F. Abdelzaher, Lance M. Kaplan
Recursive Truth Estimation of Time-Varying Sensing Data from Online Open Sources. DCOSS (2018)
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) (2018)
Dong Wang, Boleslaw K. Szymanski, Tarek F. Abdelzaher, Heng Ji, Lance M. Kaplan
The Age of Social Sensing. CoRR (2018)
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)
Qiang Le, Lance M. Kaplan
Joint tracking and power level estimation of multiple targets using a proximity sensor network. FUSION (2017)
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)
Shiguang Wang, Prasanna Giridhar, Lance M. Kaplan, Tarek F. Abdelzaher
Unsupervised Event Tracking by Integrating Twitter and Instagram. SocialSens@CPSWeek (2017)
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)
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 (2017)
Lance M. Kaplan
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 53 (1) (2017)
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) (2017)
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) (2017)
Jiangfan Zhang, Xiaodong Wang, Rick S. Blum, Lance M. Kaplan
Attack Detection in Sensor Network Target Localization Systems with Quantized Data. CoRR (2017)
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)
Lance M. Kaplan
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 53 (2) (2017)
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)
Lance M. Kaplan
From the Editor-in-Chief. IEEE Trans. Aerosp. Electron. Syst. 53 (6) (2017)
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)
Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla
Detecting Anomalies in Sequential Data with Higher-order Networks. CoRR (2017)
Prasanna Giridhar, Shiguang Wang, Tarek F. Abdelzaher, Raghu K. Ganti, Lance M. Kaplan, Jemin George
On localizing urban events with Instagram. INFOCOM (2017)

Lance M. Kaplan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lance M. Kaplan