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2020 – today
- 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) - [i28]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 abs/2206.05675 (2022) - [i27]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) - 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 Notile, 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)