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    KAUST Research Workshop on Optimization and Big Data

     Feb 5-7, 2018

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Uchenna Akujuobi
Arnaud Dethise
Chen-Yu Ho
Daniel Wilson-Nunn
Eugene Ndiaye
Elaf Islam
Arwa Bin Raies

Event Quick Information

Date
Wednesday, February 07, 2018
Time
02:15 PM – 04:00 PM

Spotlight Talks and Poster Session


  • Uchenna Akujuobi (KAUST): Delve: A Scholarly Engine for Dataset Retrieval and Document Analysis

  • Arwa Bin Raies (KAUST): In Silico Toxicology: Comprehensive Benchmarking of Muli-Label Classification Methods Applied to Toxicity Data

  • Arnaud Dethise (KAUST): A Reinforcement Learning Approach to Optimize Performance of Stream Processors

  • Chen-Yu Ho (KAUST): DAIET: Data Aggregation In nETwork

  • Elaf Islam (KAUST): Applying Machine Learning Classifiers for Prediction of Poly(A) Signals in Human Genomic DNA

  • Eugene Ndiaye (Télécom ParisTech): Gap Safe Screening Rules for Sparse-Group Lasso

  • Daniel Wilson-Nunn (The Alan Turing Institute): Dyadic Rough Path Signature Approach to Sequential Data Classification

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