no code implementations • 4 Dec 2020 • Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh
These explicit feature maps enable us to access the data in the feature space explicitly and take advantage of K-means extensions in that space.
1 code implementation • 11 Nov 2020 • Seyed Amin Fadaee, Maryam Amir Haeri
This classifier utilizes the graph representation of the data and transforms the problem to that of link prediction where we try to find the link between an unlabeled node and the proper class node for it.
1 code implementation • 13 Jun 2020 • Sayyed-Ahmad Naghavi-Nozad, Maryam Amir Haeri, Gianluigi Folino
This paper presents a batch-wise density-based clustering approach for local outlier detection in massive-scale datasets.
1 code implementation • 10 Feb 2019 • Radin Hamidi Rad, Maryam Amir Haeri
VFDT) as a Big Data approach in dealing with the data stream for classification and regression problems showed good performance in handling facing challenges and making the possibility of any-time prediction.
no code implementations • 18 Dec 2018 • Maliheh Goliforoushani, Radin Hamidi Rad, Maryam Amir Haeri
This paper introduces a recommender system based on community detection.
1 code implementation • 1 Oct 2018 • Seyed Amin Fadaee, Maryam Amir Haeri
Using a graph representation of the data, we can convert the problem of classification to the problem of link prediction which aims at finding the missing links between the unlabeled data (unlabeled nodes) and their classes.