1 citations · 1 across the 1 of their papers we have counts for
5 papers
Active Learning of Causal Structures with Deep Reinforcement Learning
Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi
We study the problem of experiment design to learn causal structures from interventional data. We consider an active learning setting in which the experimenter decides to intervene…
Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs
Mahdi Bozorg, Saber Salehkaleybar, Matin Hashemi
The network alignment (or graph matching) problem refers to recovering the node-to-node correspondence between two correlated networks. In this paper, we propose a network alignmen…
Ultra Low-Power and Real-time ECG Classification Based on STDP and R-STDP Neural Networks for Wearable Devices
Alireza Amirshahi, Matin Hashemi
This paper presents a novel ECG classification algorithm for real-time cardiac monitoring on ultra low-power wearable devices. The proposed solution is based on spiking neural netw…
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU
Behrooz Zarebavani, Foad Jafarinejad, Matin Hashemi +1
The main goal in many fields in the empirical sciences is to discover causal relationships among a set of variables from observational data. PC algorithm is one of the promising so…
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi
Objective: A novel ECG classification algorithm is proposed for continuous cardiac monitoring on wearable devices with limited processing capacity. Methods: The proposed solution e…