
Subspace Clustering Based Analysis of Neural Networks
Tools to analyze the latent space of deep neural networks provide a step...
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KNH: MultiView Modeling with KNearest Hyperplanes Graph for Misinformation Detection
Graphs are one of the most efficacious structures for representing datap...
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Identifying Misinformation from Website Screenshots
Can the look and the feel of a website give information about the trustw...
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Analyzing Representations inside Convolutional Neural Networks
How can we discover and succinctly summarize the concepts that a neural ...
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RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multimodal Data
How can we expand the tensor decomposition to reveal a hierarchical stru...
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TenFor: A TensorBased Tool to Extract Interesting Events from Security Forums
How can we get a security forum to "tell" us its activities and events o...
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Ensemble Node Embeddings using Tensor Decomposition: A CaseStudy on DeepWalk
Node embeddings have been attracting increasing attention during the pas...
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HiJoD: SemiSupervised Multiaspect Detection of Misinformation using Hierarchical Joint Decomposition
Distinguishing between misinformation and real information is one of the...
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TensorShield: Tensorbased Defense Against Adversarial Attacks on Images
Recent studies have demonstrated that machine learning approaches like d...
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REST: A thread embedding approach for identifying and classifying userspecified information in security forums
How can we extract useful information from a security forum? We focus on...
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Adaptive Granularity in Tensors: A Quest for Interpretable Structure
Data collected at very frequent intervals is usually extremely sparse an...
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The core consistency of a compressed tensor
Tensor decomposition on big data has attracted significant attention rec...
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Representation Learning by Reconstructing Neighborhoods
Since its introduction, unsupervised representation learning has attract...
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Webly Supervised Joint Embedding for CrossModal ImageText Retrieval
Crossmodal retrieval between visual data and natural language descripti...
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OCTen: Online Compressionbased Tensor Decomposition
Tensor decompositions are powerful tools for large data analytics as the...
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A Constrained Coupled MatrixTensor Factorization for Learning Timeevolving and Emerging Topics
Topic discovery has witnessed a significant growth as a field of data mi...
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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...
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tPINE: Tensorbased Predictable and Interpretable Node Embeddings
Graph representations have increasingly grown in popularity during the l...
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SURREAL: SUbgraph Robust REpresentAtion Learning
The success of graph embeddings or node representation learning in a var...
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Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition
Tensor decompositions are used in various data mining applications from ...
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Semisupervised Contentbased Detection of Misinformation via Tensor Embeddings
Fake news may be intentionally created to promote economic, political an...
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RIPEx: Extracting malicious IP addresses from security forums using crossforum learning
Is it possible to extract malicious IP addresses reported in security fo...
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SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
This paper presents a new method, which we call SUSTain, that extends re...
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COPA: Constrained PARAFAC2 for Sparse & Large Datasets
PARAFAC2 has demonstrated success in modeling irregular tensors, where t...
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The Exact Solution to Rank1 L1norm TUCKER2 Decomposition
We study rank1 L1normbased TUCKER2 (L1TUCKER2) decomposition of 3wa...
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Balancing Interpretability and Predictive Accuracy for Unsupervised Tensor Mining
The PARAFAC tensor decomposition has enjoyed an increasing success in ex...
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SamBaTen: Samplingbased Batch Incremental Tensor Decomposition
Tensor decompositions are invaluable tools in analyzing multimodal datas...
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SPARTan: Scalable PARAFAC2 for Large & Sparse Data
In exploratory tensor mining, a common problem is how to analyze a set o...
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Tensor Decomposition for Signal Processing and Machine Learning
Tensors or multiway arrays are functions of three or more indices (i,j...
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Automatic Unsupervised Tensor Mining with Quality Assessment
A popular tool for unsupervised modelling and mining multiaspect data i...
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ScoupSMT: Scalable Coupled Sparse MatrixTensor Factorization
How can we correlate neural activity in the human brain as it responds t...
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Evangelos E. Papalexakis
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