Evangelos E. Papalexakis

research

∙ 06/12/2023

CARL-G: Clustering-Accelerated Representation Learning on Graphs

Self-supervised learning on graphs has made large strides in achieving g...

0 William Shiao, et al. ∙

research

∙ 06/19/2022

FRAPPE: Fast Rank Approximation with Explainable Features for Tensors

Tensor decompositions have proven to be effective in analyzing the struc...

0 William Shiao, et al. ∙

research

∙ 05/25/2022

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

Many recent breakthroughs in multi-agent reinforcement learning (MARL) r...

0 Stephanie Milani, et al. ∙

research

∙ 07/02/2021

Subspace Clustering Based Analysis of Neural Networks

Tools to analyze the latent space of deep neural networks provide a step...

0 Uday Singh Saini, et al. ∙

research

∙ 02/15/2021

KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection

Graphs are one of the most efficacious structures for representing datap...

0 Sara Abdali, et al. ∙

research

∙ 02/15/2021

Identifying Misinformation from Website Screenshots

Can the look and the feel of a website give information about the trustw...

0 Sara Abdali, et al. ∙

research

∙ 12/23/2020

Analyzing Representations inside Convolutional Neural Networks

How can we discover and succinctly summarize the concepts that a neural ...

43 Uday Singh Saini, et al. ∙

research

∙ 11/14/2020

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

How can we expand the tensor decomposition to reveal a hierarchical stru...

0 Risul Islam, et al. ∙

research

∙ 11/14/2020

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

How can we get a security forum to "tell" us its activities and events o...

0 Risul Islam, et al. ∙

research

∙ 08/17/2020

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

Node embeddings have been attracting increasing attention during the pas...

3 Jia Chen, et al. ∙

research

∙ 05/08/2020

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

Distinguishing between misinformation and real information is one of the...

0 Sara Abdali, et al. ∙

research

∙ 02/18/2020

TensorShield: Tensor-based Defense Against Adversarial Attacks on Images

Recent studies have demonstrated that machine learning approaches like d...

0 Negin Entezari, et al. ∙

research

∙ 01/08/2020

REST: A thread embedding approach for identifying and classifying user-specified information in security forums

How can we extract useful information from a security forum? We focus on...

0 Joobin Gharibshah, et al. ∙

research

∙ 12/19/2019

Adaptive Granularity in Tensors: A Quest for Interpretable Structure

Data collected at very frequent intervals is usually extremely sparse an...

0 Ravdeep Pasricha, et al. ∙

research

∙ 11/18/2018

The core consistency of a compressed tensor

Tensor decomposition on big data has attracted significant attention rec...

0 Georgios Tsitsikas, et al. ∙

research

∙ 11/05/2018

Representation Learning by Reconstructing Neighborhoods

Since its introduction, unsupervised representation learning has attract...

0 Chin-Chia Michael Yeh, et al. ∙

research

∙ 08/23/2018

Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval

Cross-modal retrieval between visual data and natural language descripti...

2 Niluthpol Chowdhury Mithun, et al. ∙

research

∙ 07/03/2018

OCTen: Online Compression-based Tensor Decomposition

Tensor decompositions are powerful tools for large data analytics as the...

0 Ekta Gujral, et al. ∙

research

∙ 06/30/2018

A Constrained Coupled Matrix-Tensor Factorization for Learning Time-evolving and Emerging Topics

Topic discovery has witnessed a significant growth as a field of data mi...

0 Sanaz Bahargam, et al. ∙

research

∙ 06/06/2018

A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens

Despite their increasing popularity and success in a variety of supervis...

0 Uday Singh Saini, et al. ∙

research

∙ 05/03/2018

t-PINE: Tensor-based Predictable and Interpretable Node Embeddings

Graph representations have increasingly grown in popularity during the l...

0 Saba A. Al-Sayouri, et al. ∙

research

∙ 05/03/2018

SURREAL: SUbgraph Robust REpresentAtion Learning

The success of graph embeddings or node representation learning in a var...

0 Saba A. Al-Sayouri, et al. ∙

research

∙ 04/25/2018

Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition

Tensor decompositions are used in various data mining applications from ...

0 Ravdeep Pasricha, et al. ∙

research

∙ 04/24/2018

Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings

Fake news may be intentionally created to promote economic, political an...

0 Gisel Bastidas Guacho, et al. ∙

research

∙ 04/13/2018

RIPEx: Extracting malicious IP addresses from security forums using cross-forum learning

Is it possible to extract malicious IP addresses reported in security fo...

0 Joobin Gharibshah, et al. ∙

research

∙ 03/14/2018

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

This paper presents a new method, which we call SUSTain, that extends re...

0 Ioakeim Perros, et al. ∙

research

∙ 03/12/2018

COPA: Constrained PARAFAC2 for Sparse & Large Datasets

PARAFAC2 has demonstrated success in modeling irregular tensors, where t...

0 Ardavan Afshar, et al. ∙

research

∙ 10/31/2017

The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition

We study rank-1 L1-norm-based TUCKER2 (L1-TUCKER2) decomposition of 3-wa...

0 Panos P. Markopoulos, et al. ∙

research

∙ 09/04/2017

Balancing Interpretability and Predictive Accuracy for Unsupervised Tensor Mining

The PARAFAC tensor decomposition has enjoyed an increasing success in ex...

0 Ishmam Zabir, et al. ∙

research

∙ 09/03/2017

SamBaTen: Sampling-based Batch Incremental Tensor Decomposition

Tensor decompositions are invaluable tools in analyzing multimodal datas...

0 Ekta Gujral, et al. ∙

research

∙ 03/13/2017

SPARTan: Scalable PARAFAC2 for Large & Sparse Data

In exploratory tensor mining, a common problem is how to analyze a set o...

0 Ioakeim Perros, et al. ∙

research

∙ 07/06/2016

Tensor Decomposition for Signal Processing and Machine Learning

Tensors or multi-way arrays are functions of three or more indices (i,j...

0 Nicholas D. Sidiropoulos, et al. ∙

research

∙ 03/11/2015

Automatic Unsupervised Tensor Mining with Quality Assessment

A popular tool for unsupervised modelling and mining multi-aspect data i...

0 Evangelos E. Papalexakis, et al. ∙

research

∙ 02/28/2013

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization

How can we correlate neural activity in the human brain as it responds t...

0 Evangelos E. Papalexakis, et al. ∙

Evangelos E. Papalexakis

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