Evaluating LLP Methods: Challenges and Approaches.
Technical Report Nr. arXiv:2310.19065. doi:10.48550/arXiv.2310.19065
Data Mining |
| [Franco et al., 2023] | Gabriel Franco, Giovanni Comarela and Mark Crovella (2023). Evaluating LLP Methods: Challenges and Approaches. Technical Report Nr. arXiv:2310.19065. doi:10.48550/arXiv.2310.19065 |
| [Salamatian et al., 2023] | Loqman Salamatian, Scott Anderson, Joshua Matthews, Paul Barford, Walter Willinger and Mark Crovella (2023). A Manifold View of Connectivity in the Private Backbone Networks of Hyperscalers. In: Communications of the ACM, . Research Highlight in CACM. doi:10.1145/3604620 |
| [Canetti et al., 2023] | Ran Canetti, Aloni Cohen, Chris Conley, Mark Crovella, Stacey L. Dogan, Marco Gaboardi, Woodrow Hartzog, Rory Van Loo, Christopher T. Robertson, Katharine Baird Silbaugh (2023). National Telecommunications and Information Administration: Comments from Researchers at Boston University and the University of Chicago. Technical Report Nr. Boston Univ. School of Law Research Paper No. 23-24. |
| [Franco et al., 2023] | Gabriel Franco, Mark Crovella and Giovanni Comarela (2023). Dependence and Model Selection in LLP: The Problem of Variants. In: Proceedings of KDD. Los Angeles, CA. doi:10.1145/3580305.3599307 |
| [Quinn et al., 2022] | Kevin Quinn, Evimaria Terzi and Mark Crovella (2022). Characterizing Covid Waves via Spatio-Temporal Decomposition. In: Proceedings of KDD. Washington, DC. doi:10.1145/3534678.3539136 |
| [Salamatian et al., 2022] | Loqman Salamatian, Scott Anderson, Joshua Matthews, Paul Barford, Walter Willinger and Mark Crovella (2022). Curvature-based Analysis of Network Connectivity in Private Backbone Infrastructures. In: Proceedings of ACM SIGMETRICS / IFIP Performance. Mumbai, India. doi:10.1145/3508025 |
| [Amichi et al., 2021] | Licia Amichi, Aline Carneiro Viana, Mark Crovella, Antonio A. F. Loureiro (2021). From Movement Purpose to Perceptive Spatial Mobility Prediction. In: Proceedings of ACM SIGSPATIAL. Beijing, China. doi:10.1145/3474717.3484220 |
| [Amichi et al., 2020] | Licia Amichi, Aline Carneiro Viana, Mark Crovella, Antonio A. F. Loureiro (2020). Understanding Individuals' Proclivity for Novelty Seeking. In: Proceedings of ACM SIGSPATIAL. Seattle, WA. doi:10.1145/3397536.3422248 |
| [Comarela et al., 2018] | Giovanni Comarela, Ramakrishnan Durairajan, Paul Barford, Dino Christenson and Mark Crovella (2018). Assessing Candidate Preference through Web Browsing History. In: Proceedings of ACM KDD 2018. London, UK. doi:10.1145/3219819.3219884 |
| [Ruchansky et al., 2017] | Natali Ruchansky, Evimaria Terzi and Mark Crovella (2017). Targeted Matrix Completion. In: Proceedings of the SIAM International Conference on Data Mining (SDM). Houston, TX. doi:10.1137/1.9781611974973.29 |
| [Mavroforakis et al., 2017] | Charalampos Mavroforakis, Dora Erdös, Mark Crovella and Evimari Terzi (2017). Active Positive-Definite Matrix Completion. In: Proceedings of the SIAM International Conference on Data Mining (SDM). Houston, TX. doi:10.1137/1.9781611974973.30 |
| [Comarela et al., 2016] | Giovanni Comarela, Evimaria Terzi and Mark Crovella (2016). Detecting Unusually-Routed ASes: Methods and Applications. In: Proceedings of the ACM Internet Measurement Conference (IMC). Santa Monica, CA. doi:10.1145/2987443.2987478 |
| [Ruchansky et al., 2015] | Natali Ruchansky, Mark Crovella and Evimaria Terzi (2015). Matrix Completion with Queries. In: Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Sydney, Australia. doi:10.1145/2783258.2783259 |
| [Comarela and Crovella, 2014] | Giovanni Comarela and Mark Crovella (2014). Identifying and Analyzing High Impact Routing Events with PathMiner. In: Proceedings of the ACM Internet Measurement Conference (IMC). Vancouver, BC, pp. 421--434. doi:10.1145/2663716.2663754 |
| [Zhang et al., 2014] | Yaonan Zhang, Theodoros Lappas, Mark Crovella and Eric Kolaczyk (2014). Online ratings: convergence towards a positive perspective? In: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Florence, Italy. doi:10.1109/ICASSP.2014.6854511 |
| [Lappas et al., 2012] | Theodoros Lappas, Mark Crovella and Evimari Terzi (2012). Selecting a Characteristic Set of Reviews. In: Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2012. Beijing, China. doi:10.1145/2339530.2339663 |
| [Eriksson and Crovella, 2012] | Brian Eriksson and Mark Crovella (2012). Estimating Intrinsic Dimension via Clustering. In: IEEE Statistical Signal Processing Workshop (SSP). Ann Arbor, MI. Code for this method is included in the R package ider available from CRAN. |