Brian Dalessandro

According to our database, Brian Dalessandro authored at least 15 papers between 2009 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Explaining Classification Models Built on High-Dimensional Sparse Data.

Julie Moeyersoms, Brian Dalessandro, Foster J. Provost, David Martens

CoRR, 2016

2015

Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies.

Brian Dalessandro, Rod Hook, Claudia Perlich, Foster J. Provost

Big Data, 2015

2014

Machine learning for targeted display advertising: transfer learning in action.

Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, Foster J. Provost

Mach. Learn., 2014

Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets.

Brian Dalessandro, Claudia Perlich, Troy Raeder

Big Data, 2014

Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth.

Melinda Han Williams, Claudia Perlich, Brian Dalessandro, Foster J. Provost

Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 2014

Scalable hands-free transfer learning for online advertising.

Brian Dalessandro, Daizhuo Chen, Troy Raeder, Claudia Perlich, Melinda Han Williams, Foster J. Provost

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Bring the Noise: Embracing Randomness Is the Key to Scaling Up Machine Learning Algorithms.

Brian Dalessandro

Big Data, 2013

Using co-visitation networks for detecting large scale online display advertising exchange fraud.

Ori Stitelman, Claudia Perlich, Brian Dalessandro, Rod Hook, Troy Raeder, Foster J. Provost

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

The Microsoft academic search dataset and KDD Cup 2013.

Senjuti Basu Roy, Martine De Cock, Vani Mandava, Swapna Savanna, Brian Dalessandro, Claudia Perlich, William Cukierski, Ben Hamner

Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Scalable supervised dimensionality reduction using clustering.

Troy Raeder, Claudia Perlich, Brian Dalessandro, Ori Stitelman, Foster J. Provost

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

The Microsoft Academic Search challenges at KDD Cup 2013.

Martine De Cock, Senjuti Basu Roy, Swapna Savvana, Vani Mandava, Brian Dalessandro, Claudia Perlich, William Cukierski, Benjamin Hamner

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Design principles of massive, robust prediction systems.

Troy Raeder, Ori Stitelman, Brian Dalessandro, Claudia Perlich, Foster J. Provost

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Bid optimizing and inventory scoring in targeted online advertising.

Claudia Perlich, Brian Dalessandro, Rod Hook, Ori Stitelman, Troy Raeder, Foster J. Provost

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Causally motivated attribution for online advertising.

Brian Dalessandro, Claudia Perlich, Ori Stitelman, Foster J. Provost

Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, 2012

2009

Audience selection for on-line brand advertising: privacy-friendly social network targeting.

Foster J. Provost, Brian Dalessandro, Rod Hook, Xiaohan Zhang, Alan Murray

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009