Ioakeim Perros

According to our database, Ioakeim Perros authored at least 15 papers between 2015 and 2020.

Collaborative distances:

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

2020

Health Data Mining using Tensor Factorization: Methods and Applications.

Ioakeim Perros

PhD thesis, 2020

Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work.

Ioakeim Perros, Xiaowei Yan, James B. Jones, Jimeng Sun, Walter F. Stewart

J. Biomed. Informatics, 2020

TASTE: temporal and static tensor factorization for phenotyping electronic health records.

Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization.

Ioakeim Perros, Evangelos E. Papalexakis, Richard W. Vuduc, Elizabeth Searles, Jimeng Sun

J. Biomed. Informatics, 2019

Guaranteed Scalable Learning of Latent Tree Models.

Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.

Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

COPA: Constrained PARAFAC2 for Sparse & Large Datasets.

Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Polyadic Regression and its Application to Chemogenomics.

Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

SPARTan: Scalable PARAFAC2 for Large & Sparse Data.

Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Model-Driven Sparse CP Decomposition for Higher-Order Tensors.

Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data.

Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

Sparse Hierarchical Tucker Factorization and its Application to Healthcare.

Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun

CoRR, 2016

SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling.

Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

An input-adaptive and in-place approach to dense tensor-times-matrix multiply.

Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc

Proceedings of the International Conference for High Performance Computing, 2015

Sparse Hierarchical Tucker Factorization and Its Application to Healthcare.

Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015