Tsai-Ching Lu - RankMe

50 papers A* 1A 7C 4Misc 4Journal 10Unranked 24

Year	Rank	Type	Title / Venue / Authors
2023	Misc	`conf`	Causanom: Anomaly Detection With Flexible Causal Graphs. FLAIRS Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu
2023	Misc	`conf`	Semi-supervised Learning of Visual Causal Macrovariables. FLAIRS Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya
2022	C	`conf`	Semantic Causal Abstraction for Event Prediction. CD-MAKE Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu
2021	—	`conf`	Causal Abstraction Via Emergence for Predicting Bilateral Trade. CAWS Aruna Jammalamadaka, Dana Warmsley, Tsai-Ching Lu
2021	—	`conf`	Characterizing Disease Spreading via Visibility Graph Embedding. IEEE BigData Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov
2020	—	`conf`	CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong
2020	—	`conf`	Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs. IEEE BigData Alexei Kopylov, Jiejun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu
2019	—	`conf`	MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. IEEE BigData David J. Huber, Samuel D. Johnson, Nigel Stepp, Aruna Jammalamadaka, Dana Warmsley, Tiffany Kim, Tsai-Ching Lu
2019	—	`conf`	MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. IEEE BigData David J. Huber, Nigel Stepp, Aruna Jammalamadaka, Tiffany Kim, Sam Johnson, Dana Warmsley, Tsai-Ching Lu
2018	A	`conf`	A crowdsourcing triage algorithm for geopolitical event forecasting. RecSys Mohammad Rostami, David J. Huber, Tsai-Ching Lu
2018	—	`conf`	From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. IEEE BigData Dana Warmsley, Jiejun Xu, Tsai-Ching Lu
2018	A	`conf`	GTA WSDM Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss
2017	—	`conf`	An Agent-Based Model of Posting Behavior During Times of Societal Unrest. SBP-BRiMS Krishna C. Bathina, Aruna Jammalamadaka, Jiejun Xu, Tsai-Ching Lu
2017	—	`conf`	Characterizing Regional and Behavioral Device Variations Across the Twitter Timeline: A Longitudinal Study. WebSci Laura Cruz-Albrecht, Jiejun Xu, Kang-Yu Ni, Tsai-Ching Lu
2017	—	`conf`	EDSV: Emerging Defect Surveillance for Vehicles. WebSci Jiejun Xu, Daniel Xie, Tsai-Ching Lu, John A. Cafeo
2017	J	`jnl`	Explosive Percolation on Directed Networks Due to Monotonic Flow of Activity. CoRR Alex Waagen, Raissa M. D'Souza, Tsai-Ching Lu
2017	—	`conf`	What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr. IEEE BigData Daniel Xie, Jiejun Xu, Tsai-Ching Lu
2016	—	`conf`	Automated classification of extremist Twitter accounts using content-based and network-based features. IEEE BigData Daniel Xie, Jiejun Xu, Tsai-Ching Lu
2015	—	`conf`	Inferring User Interests on Tumblr. SBP Jiejun Xu, Tsai-Ching Lu
2015	—	`conf`	Network-Based Group Account Classification. SBP Patrick S. Park, Ryan F. Compton, Tsai-Ching Lu
2015	A	`conf`	Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. IUI Jiejun Xu, Tsai-Ching Lu
2015	—	`conf`	Toward precise user-topic alignment in online social media. IEEE BigData Jiejun Xu, Tsai-Ching Lu
2014	J	`jnl`	Algorithm Instance Games. CoRR Samuel D. Johnson, Tsai-Ching Lu
2014	—	`conf`	Civil Unrest Prediction: A Tumblr-Based Exploration. SBP Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen
2014	J	`jnl`	Information dynamic spectrum characterizes system instability toward critical transitions. EPJ Data Sci. Kang-Yu Ni, Tsai-Ching Lu
2014	J	`jnl`	Most Relevant Explanation in Bayesian Networks. CoRR Changhe Yuan, Heejin Lim, Tsai-Ching Lu
2014	—	`conf`	Quantifying cross-platform engagement through large-scale user alignment. WebSci Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen
2014	—	`conf`	Rolling through tumblr: characterizing behavioral patterns of the microblogging platform. WebSci Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen
2014	J	`jnl`	Using publicly visible social media to build detailed forecasts of civil unrest. Secur. Informatics Ryan Compton, Craig Lee, Jiejun Xu, Luis Artieda-Moncada, Tsai-Ching Lu, Lalindra De Silva, Michael Macy
2013	J	`jnl`	Causal Mechanism-based Model Construction CoRR Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
2013	—	`conf`	Characterizing Online Discussions in Microblogs Using Network Analysis. AAAI Spring Symposium: Analyzing Microtext Veronika Strnadova, David Jurgens, Tsai-Ching Lu
2013	C	`conf`	Context matters: Improving the uses of big data for forecasting civil unrest: Emerging phenomena and big data. ISI Pedro D. Manrique, Hong Qi, Ana Morgenstern, Nicolas Velasquez, Tsai-Ching Lu, Neil F. Johnson
2013	C	`conf`	Detecting future social unrest in unprocessed Twitter data: "Emerging phenomena and big data". ISI Ryan Compton, Craig Lee, Tsai-Ching Lu, Lalindra De Silva, Michael Macy
2012	J	`jnl`	Annealed MAP CoRR Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
2012	—	`conf`	Information Dynamic Spectrum Predicts Critical Transitions. Complex Kang-Yu Ni, Tsai-Ching Lu
2012	J	`jnl`	Most Relevant Explanation: Properties, Algorithms, and Evaluations CoRR Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim
2012	—	`conf`	Progress Curves and the Prediction of Significant Market Events. Complex Sofia Apreleva, Neil F. Johnson, Tsai-Ching Lu
2012	A	`conf`	Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia. ICWSM David Jurgens, Tsai-Ching Lu
2011	J	`jnl`	Most Relevant Explanation in Bayesian Networks. J. Artif. Intell. Res. Changhe Yuan, Heejin Lim, Tsai-Ching Lu
2009	—	`conf`	Detecting and analyzing relationships among anomalies. IEEE VAST David Allen, Tsai-Ching Lu, David J. Huber
2009	J	`jnl`	Interactive construction of graphical decision models based on causal mechanisms. Eur. J. Oper. Res. Tsai-Ching Lu, Marek J. Druzdzel
2009	A	`conf`	Most Relevant Explanation: Properties, Algorithms, and Evaluations. UAI Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim
2008	A*	`conf`	A General Framework for Generating Multivariate Explanations in Bayesian Networks. AAAI Changhe Yuan, Tsai-Ching Lu
2007	Misc	`conf`	System Diagnosability Analysis Using p-slop MAP. FLAIRS Tsai-Ching Lu, K. Wojtek Przytula
2006	Misc	`conf`	Focusing Strategies for Multiple Fault Diagnosis. FLAIRS Tsai-Ching Lu, K. Wojtek Przytula
2005	—	`conf`	Mechanism-based Causal Models for Adaptive Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Tsai-Ching Lu, Marek J. Druzdzel
2004	A	`conf`	Annealed MAP. UAI Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
2002	—	`conf`	Causal Models, Value of Intervention, and Search for Opportunities. Probabilistic Graphical Models Tsai-Ching Lu, Marek J. Druzdzel
2001	C	`conf`	Supporting Changes in Structure in Causal Model Construction. ECSQARU Tsai-Ching Lu, Marek J. Druzdzel
2000	A	`conf`	Causal Mechanism-based Model Constructions. UAI Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong