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20132026
most citedTensor Decomposition for Signal Processing and Machine Learning

1.7k citations · 1.8k across the 76 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.LG2020

Analyzing Representations inside Convolutional Neural Networks

Uday Singh Saini, Evangelos E. Papalexakis

How can we discover and succinctly summarize the concepts that a neural network has learned? Such a task is of great importance in applications of networks in areas of inference th…

cs.IR2020

RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data

Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis +1

How can we expand the tensor decomposition to reveal a hierarchical structure of the multi-modal data in a self-adaptive way? Current tensor decomposition provides only a single la…

cs.CR2020

TenFor: A Tensor-Based Tool to Extract Interesting Events from Security Forums

Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis +1

How can we get a security forum to "tell" us its activities and events of interest? We take a unique angle: we want to identify these activities without any a priori knowledge, whi…

cs.LG2020★ 1 cited

Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk

Jia Chen, Evangelos E. Papalexakis

Node embeddings have been attracting increasing attention during the past years. In this context, we propose a new ensemble node embedding approach, called TenSemble2Vec, by first…

cs.CR2020★ 10 cited

SourceFinder: Finding Malware Source-Code from Publicly Available Repositories

Md Omar Faruk Rokon, Risul Islam, Ahmad Darki +2

Where can we find malware source code? This question is motivated by a real need: there is a dearth of malware source code, which impedes various types of security research. Our wo…

cs.SI2020

Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition

Sara Abdali, Neil Shah, Evangelos E. Papalexakis

Distinguishing between misinformation and real information is one of the most challenging problems in today's interconnected world. The vast majority of the state-of-the-art in det…