Kourosh Modarresi

发表

Adaptive Objective Functions and Distance Metrics for Recommendation Systems

Michael C. Burkhart, Kourosh Modarresi, K. Modarresi, 2019, ICCS.

Determining Adaptive Loss Functions and Algorithms for Predictive Models

Michael C. Burkhart, Kourosh Modarresi, 2019, ICCS.

An Evaluation Metric for Content Providing Models, Recommendation Systems, and Online Campaigns

Kourosh Modarresi, Jamie Diner, K. Modarresi, 2019, ICCS.

Recommendation System Based on Complete Personalization

Kourosh Modarresi, K. Modarresi, 2016, ICCS.

An Efficient Deep Learning Model for Recommender Systems

Kourosh Modarresi, Jamie Diner, K. Modarresi, 2018, ICCS.

Analysis of the Significance of Multimedia Channels Using Sparse PCA and Regularized SVD

Kourosh Modarresi, 2015 .

Unsupervised Feature Extraction Using Singular Value Decomposition

Kourosh Modarresi, K. Modarresi, 2015, ICCS.

Detecting the Most Insightful Parts of Documents Using a Regularized Attention-Based Model

Kourosh Modarresi, K. Modarresi, 2020, ICCS.

Finding the Winner of a Hypothesis Test via Sample Allocation Optimization

Khashayar Khosravi, Kourosh Modarresi, 2017, ICCS.

Algorithmic Approach for Learning a Comprehensive View of Online Users

Kourosh Modarresi, K. Modarresi, 2016, ICCS.

Computation of Recommender System Using Localized Regularization

Kourosh Modarresi, K. Modarresi, 2015, ICCS.

Generalized Variable Conversion Using K-means Clustering and Web Scraping

Kourosh Modarresi, Abdurrahman Munir, K. Modarresi, 2018, ICCS.

Standardization of Featureless Variables for Machine Learning Models Using Natural Language Processing

Kourosh Modarresi, Abdurrahman Munir, K. Modarresi, 2018, ICCS.

A local regularization method using multiple regularization levels

Gene H. Golub, Kourosh Modarresi, 2007 .