Claudia Perlich

45 papers A* 14A 2Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beware of "Explanations" of AI. CoRR David Martens, Galit Shmueli, Theodoros Evgeniou, Kevin Bauer, Christian Janiesch, Stefan Feuerriegel, Sebastian Gabel, Sofie Goethals, Travis Greene, Nadja Klein, Mathias Kraus, Niklas Kühl, Claudia Perlich, Wouter Verbeke, Alona Zharova, Patrick Zschech, Foster J. Provost
2025	—	`ed.`	Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, KDD 2025, Toronto, ON, Canada, August 3-7, 2025 KDD (1) Yizhou Sun, Flavio Chierichetti, Hady W. Lauw, Claudia Perlich, Wee Hyong Tok, Andrew Tomkins
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI ECML/PKDD (6) Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi
2023	—	`ed.`	Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII ECML/PKDD (7) Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi
2018	A*	`conf`	Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers. KDD Yeming Shi, Claudia Perlich, Rod Hook, Wickus Martin, Melinda Han Williams, Justin Moynihan, Patrick McCarthy, Peter Lenz, Reka Daniel-Weiner, Roger Cost
2017	—	`conf`	Blacklisting the Blacklist in Online Advertising: Improving Delivery by Bidding for What You Can Win. ADKDD@KDD Yeming Shi, Ori Stitelman, Claudia Perlich
2017	—	`ch.`	Learning Curves in Machine Learning. Encyclopedia of Machine Learning and Data Mining Claudia Perlich
2016	A	`conf`	Automated Machine Learning in the Wild. RecSys Claudia Perlich
2015	J	`jnl`	Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies. Big Data Brian Dalessandro, Rod Hook, Claudia Perlich, Foster J. Provost
2014	J	`jnl`	A Data Scientist's Guide to Start-Ups. Big Data Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich
2014	J	`jnl`	Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets. Big Data Brian Dalessandro, Claudia Perlich, Troy Raeder
2014	J	`jnl`	Machine learning for targeted display advertising: transfer learning in action. Mach. Learn. Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, Foster J. Provost
2014	—	`conf`	Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth. ADKDD@KDD Melinda Han Williams, Claudia Perlich, Brian Dalessandro, Foster J. Provost
2014	A*	`conf`	Scalable hands-free transfer learning for online advertising. KDD Brian Dalessandro, Daizhuo Chen, Troy Raeder, Claudia Perlich, Melinda Han Williams, Foster J. Provost
2014	A*	`ed.`	The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 KDD Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, Rayid Ghani
2013	A*	`conf`	Scalable supervised dimensionality reduction using clustering. KDD Troy Raeder, Claudia Perlich, Brian Dalessandro, Ori Stitelman, Foster J. Provost
2013	—	`conf`	The Microsoft Academic Search challenges at KDD Cup 2013. IEEE BigData Martine De Cock, Senjuti Basu Roy, Swapna Savvana, Vani Mandava, Brian Dalessandro, Claudia Perlich, William Cukierski, Benjamin Hamner
2013	—	`conf`	The Microsoft academic search dataset and KDD Cup 2013. KDD Cup Senjuti Basu Roy, Martine De Cock, Vani Mandava, Swapna Savanna, Brian Dalessandro, Claudia Perlich, William Cukierski, Ben Hamner
2013	A*	`conf`	Using co-visitation networks for detecting large scale online display advertising exchange fraud. KDD Ori Stitelman, Claudia Perlich, Brian Dalessandro, Rod Hook, Troy Raeder, Foster J. Provost
2012	A*	`conf`	Bid optimizing and inventory scoring in targeted online advertising. KDD Claudia Perlich, Brian Dalessandro, Rod Hook, Ori Stitelman, Troy Raeder, Foster J. Provost
2012	—	`conf`	Causally motivated attribution for online advertising. AdKDD@KDD Brian Dalessandro, Claudia Perlich, Ori Stitelman, Foster J. Provost
2012	A*	`conf`	Design principles of massive, robust prediction systems. KDD Troy Raeder, Ori Stitelman, Brian Dalessandro, Claudia Perlich, Foster J. Provost
2012	J	`jnl`	Leakage in data mining: Formulation, detection, and avoidance. ACM Trans. Knowl. Discov. Data Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman
2011	A*	`conf`	Latent graphical models for quantifying and predicting patent quality. KDD Yan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen
2011	A*	`conf`	Leakage in data mining: formulation, detection, and avoidance. KDD Shachar Kaufman, Saharon Rosset, Claudia Perlich
2010	—	`ch.`	Learning Curves in Machine Learning. Encyclopedia of Machine Learning Claudia Perlich
2010	J	`jnl`	Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu
2010	J	`jnl`	On cross-validation and stacking: building seemingly predictive models on random data. SIGKDD Explor. Claudia Perlich, Grzegorz Swirszcz
2010	J	`jnl`	Operations Research Improves Sales Force Productivity at IBM. Interfaces Rick Lawrence, Claudia Perlich, Saharon Rosset, Ildar Khabibrakhmanov, Shilpa Mahatma, Sholom M. Weiss, Matthew Callahan, Matt Collins, Alexey Ershov, Shiva Kumar
2009	—	`ch.`	Modeling Quantiles. Encyclopedia of Data Warehousing and Mining Claudia Perlich, Saharon Rosset, Bianca Zadrozny
2009	A*	`conf`	Spatial-temporal causal modeling for climate change attribution. KDD Aurélie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe
2009	—	`conf`	Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yanfeng Zhu
2008	J	`jnl`	Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset
2007	J	`jnl`	Analytics-driven solutions for customer targeting and sales-force allocation. IBM Syst. J. Richard D. Lawrence, Claudia Perlich, Saharon Rosset, Jorge Arroyo, Matthew Callahan, J. Matthew Collins, Alexey Ershov, Sheri Feinzig, Ildar Khabibrakhmanov, Shilpa Mahatma, Mark Niemaszyk, Sholom M. Weiss
2007	A*	`conf`	High-quantile modeling for customer wallet estimation and other applications. KDD Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny
2007	A	`conf`	Identifying Bundles of Product Options using Mutual Information Clustering. SDM Claudia Perlich, Saharon Rosset
2007	—	`conf`	Looking for Great Ideas: Analyzing the Innovation Jam. WebKDD/SNAKDD Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset
2007	J	`jnl`	Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. SIGKDD Explor. Saharon Rosset, Claudia Perlich, Yan Liu
2007	J	`jnl`	Ranking-based evaluation of regression models. Knowl. Inf. Syst. Saharon Rosset, Claudia Perlich, Bianca Zadrozny
2006	A*	`conf`	A new multi-view regression approach with an application to customer wallet estimation. KDD Srujana Merugu, Saharon Rosset, Claudia Perlich
2006	J	`jnl`	Distribution-based aggregation for relational learning with identifier attributes. Mach. Learn. Claudia Perlich, Foster J. Provost
2005	A*	`conf`	Ranking-Based Evaluation of Regression Models. ICDM Saharon Rosset, Claudia Perlich, Bianca Zadrozny
2003	A*	`conf`	Aggregation-based feature invention and relational concept classes. KDD Claudia Perlich, Foster J. Provost
2003	J	`jnl`	Predicting citation rates for physics papers: constructing features for an ordered probit model. SIGKDD Explor. Claudia Perlich, Foster J. Provost, Sofus A. Macskassy
2003	J	`jnl`	Tree Induction vs. Logistic Regression: A Learning-Curve Analysis. J. Mach. Learn. Res. Claudia Perlich, Foster J. Provost, Jeffrey S. Simonoff