| 2nd Workshop on Online and Adaptive Recommender Systems (OARS) | 0 | 0.34 | 2022 |
| Rank List Sensitivity of Recommender Systems to Interaction Perturbations. | 0 | 0.34 | 2022 |
| Characterizing, Detecting, and Predicting Online Ban Evasion | 0 | 0.34 | 2022 |
| Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact) | 0 | 0.34 | 2022 |
| Cross-Platform Multimodal Misinformation: Taxonomy, Characteristics and Detection for Textual Posts and Videos | 0 | 0.34 | 2022 |
| HawkEye: a robust reputation system for community-based counter-misinformation | 0 | 0.34 | 2021 |
| PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models | 1 | 0.36 | 2021 |
| Deception Detection in Group Video Conversations using Dynamic Interaction Networks | 0 | 0.34 | 2021 |
| Evaluating Graph Vulnerability and Robustness using TIGER | 1 | 0.41 | 2021 |
| Workshop on Online and Adaptative Recommender Systems (OARS) | 0 | 0.34 | 2021 |
| The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web | 0 | 0.34 | 2021 |
| Influence-guided Data Augmentation for Neural Tensor Completion | 0 | 0.34 | 2021 |
| The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic | 0 | 0.34 | 2020 |
| Higher-Order Label Homogeneity and Spreading in Graphs | 1 | 0.36 | 2020 |
| Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks | 31 | 0.97 | 2019 |
| Predicting dominance in multi-person videos. | 0 | 0.34 | 2019 |
| Predicting the Visual Focus of Attention in Multi-Person Discussion Videos. | 0 | 0.34 | 2019 |
| Measuring the Evolution of a Scientific Field through Citation Frames. | 4 | 0.38 | 2018 |
| MIS2: Misinformation and Misbehavior Mining on the Web. | 0 | 0.34 | 2018 |
| Breaking Bad - Forecasting Adversarial Android Bad Behavior. | 0 | 0.34 | 2018 |
| Learning Dynamic Embeddings from Temporal Interactions. | 2 | 0.36 | 2018 |
| REV2: Fraudulent User Prediction in Rating Platforms. | 30 | 0.82 | 2018 |
| Demand-Driven Single- and Multitarget Mixture Preparation Using Digital Microfluidic Biochips. | 2 | 0.41 | 2018 |
| False Information on Web and Social Media: A Survey. | 8 | 0.43 | 2018 |
| Community Interaction and Conflict on the Web. | 8 | 0.47 | 2018 |
| An Army of Me: Sockpuppets in Online Discussion Communities. | 24 | 0.70 | 2017 |
| Antisocial Behavior on the Web: Characterization and Detection. | 2 | 0.38 | 2017 |
| FairJudge: Trustworthy User Prediction in Rating Platforms. | 3 | 0.37 | 2017 |
| Tutorial: Identifying Malicious Actors on Social Media. | 0 | 0.34 | 2016 |
| Citation Classification for Behavioral Analysis of a Scientific Field. | 1 | 0.35 | 2016 |
| Stubborn Mining: Generalizing Selfish Mining and Combining with an Eclipse Attack | 66 | 3.94 | 2016 |
| Edge Weight Prediction in Weighted Signed Networks | 8 | 0.44 | 2016 |
| Vandals and Hoaxes on the Web. | 0 | 0.34 | 2016 |
| Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes. | 45 | 1.57 | 2016 |
| ASONAM 2016 tutorials: Tutorial 1: Evolutionary computation for community detection in complex networks | 0 | 0.34 | 2016 |
| Structure and Dynamics of Signed Citation Networks. | 3 | 0.37 | 2016 |
| Metric Logic Program Explanations for Complex Separator Functions. | 0 | 0.34 | 2016 |
| VEWS: A Wikipedia Vandal Early Warning System | 28 | 1.35 | 2015 |
| Layout-Aware Mixture Preparation of Biochemical Fluids on Application-Specific Digital Microfluidic Biochips | 7 | 0.49 | 2015 |
| SPINN: Suspicion prediction in nuclear networks | 1 | 0.35 | 2015 |
| Linguistic Harbingers Of Betrayal: A Case Study On An Online Strategy Game | 7 | 0.52 | 2015 |
| Accurately detecting trolls in Slashdot Zoo via decluttering | 18 | 0.88 | 2014 |
| Demand-Driven Mixture Preparation and Droplet Streaming using Digital Microfluidic Biochips | 5 | 0.41 | 2014 |
| Automatic Classification and Analysis of Interdisciplinary Fields in Computer Sciences | 2 | 0.37 | 2013 |
| Routing-aware resource allocation for mixture preparation in digital microfluidic biochips. | 6 | 0.47 | 2013 |
| Efficient mixture preparation on digital microfluidic biochips | 12 | 0.62 | 2013 |
