According to our database1, Ali Azari
Legend:Book In proceedings Article PhD thesis Other
MILES: multiclass imbalanced learning in ensembles through selective sampling.
Proceedings of the Symposium on Applied Computing, 2017
Imbalanced learning to predict long stay Emergency Department patients.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
B-dids: Mining anomalies in a Big-distributed Intrusion Detection System.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014
Healthcare Data Mining: Predicting Hospital Length of Stay (PHLOS).
Clustered service rank in support of web service discovery.
Proceedings of the iConference 2012, Toronto, Ontario, Canada, February 7-10, 2012, 2012
Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012