Next Generation Sequencing machines are generating millions of short DNA sequences (reads) everyday. There is a need for efficient algorithms to map these sequences to the referen...
Sanchit Misra, Ramanathan Narayanan, Simon Lin, Al...
Generating realistic and responsive traffic that reflects different network conditions is a challenging problem associated with performing valid experiments in network testbeds. I...
Monia Ghobadi, Martin Labrecque, Geoffrey Salmon, ...
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
In this paper we give the first construction of a pseudorandom generator, with seed length O(log n), for CC0[p], the class of constant-depth circuits with unbounded fan-in MODp ga...
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...