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Perlich, Claudia
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1

Machine Learning and Knowledge Discovery in Databases: Appl.. 

Lecture Notes in Artificial Intelligence, 14174
De Francisci Morales, Gianmarco ; Perlich, Claudia ; Ruchansky, Natali... - 1st ed. 2023 . , 2023
Link: https://doi.org/10.1007/..
 
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2

Machine Learning and Knowledge Discovery in Databases: Appl.. 

Lecture Notes in Artificial Intelligence, 14175
De Francisci Morales, Gianmarco ; Perlich, Claudia ; Ruchansky, Natali... - 1st ed. 2023 . , 2023
Link: https://doi.org/10.1007/..
 
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3

Audience Size Forecasting : Fast and Smart Budget Planni..:

, In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Shi, Yeming ; Perlich, Claudia ; Hook, Rod... - p. 744-753 , 2018
Link: https://dl.acm.org/doi/1..
 
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4

Blacklisting the Blacklist in Online Advertising : Impro..:

, In: Proceedings of the ADKDD'17,
Shi, Yeming ; Stitelman, Ori ; Perlich, Claudia - p. 1-6 , 2017
Link: https://dl.acm.org/doi/1..
 
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5

Automated Machine Learning in the Wild:

, In: Proceedings of the 10th ACM Conference on Recommender Systems,
Perlich, Claudia - p. 1 ff. , 2016
Link: https://dl.acm.org/doi/1..
 
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6

Scalable hands-free transfer learning for online advertisin:

, In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining,
Dalessandro, Brian ; Chen, Daizhuo ; Raeder, Troy... - p. 1573-1582 , 2014
Link: https://dl.acm.org/doi/1..
 
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7

Pleasing the advertising oracle : Probabilistic predicti..:

, In: Proceedings of the Eighth International Workshop on Data Mining for Online Advertising,
Williams, Melinda Han ; Perlich, Claudia ; Dalessandro, Brian. - p. 1-9 , 2014
Link: https://dl.acm.org/doi/1..
 
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8

Proceedings of the 20th ACM SIGKDD international conference..:

Macskassy, Sofus ; Perlich, Claudia ; Leskovec, Jure.. , 2014
Link: https://dl.acm.org/doi/1..
 
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9

Using co-visitation networks for detecting large scale onli..:

, In: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining,
Stitelman, Ori ; Perlich, Claudia ; Dalessandro, Brian... - p. 1240-1248 , 2013
Link: https://dl.acm.org/doi/1..
 
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10

The Microsoft academic search dataset and KDD Cup 2013:

, In: Proceedings of the 2013 KDD Cup 2013 Workshop,
Roy, Senjuti Basu ; De Cock, Martine ; Mandava, Vani... - p. 1-6 , 2013
Link: https://dl.acm.org/doi/1..
 
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11

Scalable supervised dimensionality reduction using clusteri..:

, In: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining,
Raeder, Troy ; Perlich, Claudia ; Dalessandro, Brian.. - p. 1213-1221 , 2013
Link: https://dl.acm.org/doi/1..
 
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12

Leakage in data mining : Formulation, detection, and avo..:

Kaufman, Shachar ; Rosset, Saharon ; Perlich, Claudia.
ACM Transactions on Knowledge Discovery from Data (TKDD).  6 (2012)  4 - p. 1-21 , 2012
Link: https://dl.acm.org/doi/1..
 
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13

Bid optimizing and inventory scoring in targeted online adv..:

, In: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining,
Perlich, Claudia ; Dalessandro, Brian ; Hook, Rod... - p. 804-812 , 2012
Link: https://dl.acm.org/doi/1..
 
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14

Causally motivated attribution for online advertising:

, In: Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy,
Dalessandro, Brian ; Perlich, Claudia ; Stitelman, Ori. - p. 1-9 , 2012
Link: https://dl.acm.org/doi/1..
 
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15

Leakage in data mining: Formulation, detection, and avoidan..:

Kaufman, Shachar ; Rosset, Saharon ; Perlich, Claudia.
ACM Transactions on Knowledge Discovery from Data.  6 (2012)  4 - p. 1-21 , 2012
Link: https://doi.org/10.1145/..
 
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