Carlos E. Seminario

According to our database1, Carlos E. Seminario authored at least 11 papers between 2012 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2016
Nuking Item-Based Collaborative Recommenders with Power Items and Multiple Targets.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015
Structuring Flipped Classes with Lightweight Teams and Gamification.
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Nuke 'Em Till They Go: Investigating Power User Attacks to Disparage Items in Collaborative Recommenders.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Mitigating Power User Attacks on a User-Based Collaborative Recommender System.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
Evil Twins: Modeling Power Users in Attacks on Recommender Systems.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Attacking item-based recommender systems with power items.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Assessing Impacts of a Power User Attack on a Matrix Factorization Collaborative Recommender System.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

2013
When power users attack: assessing impacts in collaborative recommender systems.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Accuracy and robustness impacts of power user attacks on collaborative recommender systems.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012
Case Study Evaluation of Mahout as a Recommender Platform.
Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012

Robustness and Accuracy Tradeoffs for Recommender Systems Under Attack.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012


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