Michael J. Cafarella
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
20
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIDR | Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing. | Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Rana Shahout, Gerardo Vitagliano |
| 2025 | EDBT | Toward Standardized Data Preparation: A Bottom-Up Approach. | Eugenie Y. Lai, Yuze Lou, Brit Youngmann, Michael J. Cafarella |
| 2025 | SIGMOD | CausaLens: A System for Summarizing Causal DAGs. | Noam Chen, Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, Babak Salimi |
| 2025 | SIGMOD | SeerCuts: Explainable Attribute Discretization. | Eugenie Y. Lai, Inbal Croitoru, Noam Bitton, Ariel Shalem, Brit Youngmann, Sainyam Galhotra, El Kindi Rezig, Michael J. Cafarella |
| 2025 | SIGMOD | CauSumX: Summarized Causal Explanations For Group-By-Average Queries. | Nativ Levy, Michael J. Cafarella, Amir Gilad, Sudeepa Roy, Brit Youngmann |
| 2025 | SIGMOD | PalimpChat: Declarative and Interactive AI analytics. | Chunwei Liu, Gerardo Vitagliano, Brandon Rose, Matthew Printz, David Andrew Samson, Michael J. Cafarella |
| 2024 | SIGMOD | Sawmill: From Logs to Causal Diagnosis of Large Systems. | Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella |
| 2023 | CIDR | Transactions Make Debugging Easy. | Qian Li, Peter Kraft, Michael J. Cafarella, agatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia |
| 2023 | ICDE | On Explaining Confounding Bias. | Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi |
| 2023 | SIGMOD | NEXUS: On Explaining Confounding Bias. | Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi |
| 2022 | CIDR | A Progress Report on DBOS: A Database-oriented Operating System. | Qian Li, Peter Kraft, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Jason Li, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia |
| 2022 | CIDR | Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. | Michael R. Anderson, Yuze Lou, Jiayun Zou, Michael J. Cafarella, Sarah E. Chasins, Doug Downey, Tian Gao, Kexin Huang, Dinghao Shen, Jenny M. Vo-Phamhi, Yitong Wang, Yuning Wang, Anna Zeng |
| 2022 | OSDI | Debugging the OmniTable Way. | Andrew Quinn, Jason Flinn, Michael J. Cafarella, Baris Kasikci |
| 2022 | SIGMOD | HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics. | Azza Abouzied, Dominik Moritz, Michael J. Cafarella |
| 2022 | SIGMOD | Controlled Intentional Degradation in Analytical Video Systems. | Wenjia He, Michael J. Cafarella |
| 2022 | SIGMOD | Enabling useful provenance in scripting languages with a human-in-the-loop. | Yuze Lou, Michael J. Cafarella |
| 2020 | CIDR | Constructing Expressive Relational Queries with Dual-Specification Synthesis. | Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish |
| 2020 | Mobisys | BeeCluster: drone orchestration via predictive optimization. | Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden |
| 2020 | SIGMOD | Duoquest: A Dual-Specification System for Expressive SQL Queries. | Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish |
| 2020 | SIGMOD | MIRIS: Fast Object Track Queries in Video. | Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden |
| 2020 | SIGMOD | A Method for Optimizing Opaque Filter Queries. | Wenjia He, Michael R. Anderson, Maxwell Strome, Michael J. Cafarella |
| 2019 | ACL | Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements. | Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory J. DeAngelo, Elena Eneva, Andy E. Fano |
| 2019 | CIDR | Demonstration of a Multiresolution Schema Mapping System. | Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish, Yuze Lou |
| 2019 | EDBT | CLX: Towards verifiable PBE data transformation. | Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar, Joseph M. Hellerstein |
| 2019 | HotOS | You can't debug what you can't see: Expanding observability with the OmniTable. | Andrew Quinn, Jason Flinn, Michael J. Cafarella |
| 2019 | ICDE | Physical Representation-Based Predicate Optimization for a Visual Analytics Database. | Michael R. Anderson, Michael J. Cafarella, Germn Ros, Thomas F. Wenisch |
| 2019 | SIGMOD | Knowledge Graph Programming with a Human-in-the-Loop: Preliminary Results. | Yuze Lou, Mahfus Uddin, Nathaniel Brown, Michael J. Cafarella |
| 2018 | OSDI | Sledgehammer: Cluster-Fueled Debugging. | Andrew Quinn, Jason Flinn, Michael J. Cafarella |
| 2018 | SIGMOD | Beaver: Towards a Declarative Schema Mapping. | Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish |
| 2017 | CIKM | Spreadsheet Property Detection With Rule-assisted Active Learning. | Zhe Chen, Sasha Dadiomov, Richard Wesley, Gang Xiao, Daniel Cory, Michael J. Cafarella, Jock D. Mackinlay |
| 2017 | SIGMOD | Foofah: Transforming Data By Example. | Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, H. V. Jagadish |
| 2017 | SIGMOD | Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs. | Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, H. V. Jagadish |
| 2017 | SIGMOD | Database Learning: Toward a Database that Becomes Smarter Every Time. | Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari |
| 2016 | EDBT | DBExplorer: Exploratory Search in Databases. | Manish Singh, Michael J. Cafarella, H. V. Jagadish |
| 2016 | ICDE | Input selection for fast feature engineering. | Michael R. Anderson, Michael J. Cafarella |
| 2016 | ICDE | A query system for social media signals. | Dolan Antenucci, Michael R. Anderson, Penghua Zhao, Michael J. Cafarella |
| 2016 | ICDE | Dark Data: Are we solving the right problems? | Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher R |
| 2016 | ICDE | Visualization-aware sampling for very large databases. | Yongjoo Park, Michael J. Cafarella, Barzan Mozafari |
| 2016 | ICDE | HAWK: Hardware support for unstructured log processing. | Prateek Tandon, Faissal M. Sleiman, Michael J. Cafarella, Thomas F. Wenisch |
| 2016 | MICRO | HARE: Hardware accelerator for regular expressions. | Vaibhav Gogte, Aasheesh Kolli, Michael J. Cafarella, Loris D'Antoni, Thomas F. Wenisch |
| 2016 | OSDI | DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services. | Michael Chow, Kaushik Veeraraghavan, Michael J. Cafarella, Jason Flinn |
| 2016 | SIGMOD | Extracting Databases from Dark Data with DeepDive. | Ce Zhang, Jaeho Shin, Christopher R, Michael J. Cafarella, Feng Niu |
| 2016 | WSDM | Long-tail Vocabulary Dictionary Extraction from the Web. | Zhe Chen, Michael J. Cafarella, H. V. Jagadish |
| 2015 | WWW | DiagramFlyer: A Search Engine for Data-Driven Diagrams. | Zhe Chen, Michael J. Cafarella, Eytan Adar |
| 2015 | SIGMOD | Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? | Christopher R, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan |
| 2014 | ICPP | Reducing MapReduce Abstraction Costs for Text-centric Applications. | Chun-Hung Hsiao, Michael J. Cafarella, Satish Narayanasamy |
| 2014 | KDD | Integrating spreadsheet data via accurate and low-effort extraction. | Zhe Chen, Michael J. Cafarella |
| 2014 | OOPSLA | Using web corpus statistics for program analysis. | Chun-Hung Hsiao, Michael J. Cafarella, Satish Narayanasamy |
| 2013 | CIDR | Brainwash: A Data System for Feature Engineering. | Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher R, Ce Zhang |
| 2013 | ICWSM | Leveraging Noisy Lists for Social Feed Ranking. | Matthew Burgess, Alessandra Mazzia, Eytan Adar, Michael J. Cafarella |
| 2013 | VLDB | Automatic web spreadsheet data extraction. | Zhe Chen, Michael J. Cafarella |
| 2012 | SIGMOD | Sample-driven schema mapping. | Li Qian, Michael J. Cafarella, H. V. Jagadish |
| 2011 | SIGMOD | Web data management. | Michael J. Cafarella, Alon Y. Halevy |
| 2009 | CIDR | Extracting and Querying a Comprehensive Web Database. | Michael J. Cafarella |
| 2007 | CIDR | Structured Querying of Web Text Data: A Technical Challenge. | Michael J. Cafarella, Christopher R, Dan Suciu, Oren Etzioni |
| 2007 | IJCAI | Open Information Extraction from the Web. | Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, Oren Etzioni |
| 2007 | NAACL | TextRunner: Open Information Extraction on the Web. | Alexander Yates, Michele Banko, Matthew Broadhead, Michael J. Cafarella, Oren Etzioni, Stephen Soderland |
| 2006 | AAAI | Machine Reading. | Oren Etzioni, Michele Banko, Michael J. Cafarella |
| 2005 | NAACL | KnowItNow: Fast, Scalable Information Extraction from the Web. | Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni |
| 2005 | WWW | A search engine for natural language applications. | Michael J. Cafarella, Oren Etzioni |
| 2004 | AAAI | Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison. | Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates |
| 2004 | WWW | Web-scale information extraction in knowitall: (preliminary results). | Oren Etzioni, Michael J. Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates |