171 citations · 172 across the 4 of their papers we have counts for
4 papers
Efficient Approximation Algorithms for Adaptive Target Profit Maximization
Keke Huang, Jing Tang, Xiaokui Xiao +2
Given a social network , the profit maximization (PM) problem asks for a set of seed nodes to maximize the profit, i.e., revenue of influence spread less the cost of seed select…
Thinking towards Motion Modeling: on High-order Derivatives of Displacement
Shixiong Wang, Andrew Lim
This note is concerned with the problem of motion modeling in Physics. We aim to use the Time-Variant Local Autocorrelation Polynomial to understand the mathematical model of motio…
Learning Robust Features using Deep Learning for Automatic Seizure Detection
Pierre Thodoroff, Joelle Pineau, Andrew Lim
We present and evaluate the capacity of a deep neural network to learn robust features from EEG to automatically detect seizures. This is a challenging problem because seizure mani…
A Tabu Search Algorithm for the Multi-period Inspector Scheduling Problem
Hu Qin, Zizhen Zhang, Yubin Xie +1
This paper introduces a multi-period inspector scheduling problem (MPISP), which is a new variant of the multi-trip vehicle routing problem with time windows (VRPTW). In the MPISP,…