Leman Akoglu | DeepAI

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∙ 08/28/2023

Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities

Self-supervised learning (SSL) is a growing torrent that has recently tr...

0 Leman Akoglu, et al. ∙

∙ 04/06/2023

From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management

Anomalies are often indicators of malfunction or inefficiency in various...

0 Xueying Ding, et al. ∙

∙ 11/05/2022

Unsupervised Machine Learning for Explainable Medicare Fraud Detection

The US federal government spends more than a trillion dollars per year o...

0 Shubhranshu Shekhar, et al. ∙

∙ 10/15/2022

D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments

How can we detect outliers, both scattered and clustered, and also expli...

0 Shuli Jiang, et al. ∙

∙ 08/16/2022

Role of Data Augmentation in Unsupervised Anomaly Detection

Self-supervised learning (SSL) has emerged as a promising alternative to...

0 Jaemin Yoo, et al. ∙

∙ 06/15/2022

Summarizing Labeled Multi-Graphs

Real-world graphs can be difficult to interpret and visualize beyond a c...

0 Dimitris Berberidis, et al. ∙

∙ 06/02/2022

Sparx: Distributed Outlier Detection at Scale

There is no shortage of outlier detection (OD) algorithms in the literat...

0 Sean Zhang, et al. ∙

∙ 11/11/2021

Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series

Given a cardiac-arrest patient being monitored in the ICU (intensive car...

5 Shubhranshu Shekhar, et al. ∙

∙ 10/13/2021

C-AllOut: Catching Calling Outliers by Type

Given an unlabeled dataset, wherein we have access only to pairwise simi...

0 Guilherme D. F. Silva, et al. ∙

∙ 05/21/2021

Anomaly Mining – Past, Present and Future

Anomaly mining is an important problem that finds numerous applications ...

0 Leman Akoglu, et al. ∙

∙ 12/05/2020

FAIROD: Fairness-aware Outlier Detection

Fairness and Outlier Detection (OD) are closely related, as it is exactl...

0 Shubhranshu Shekhar, et al. ∙

∙ 10/07/2020

Anomaly Detection in Large Labeled Multi-Graph Databases

Within a large database G containing graphs with labeled nodes and direc...

0 Hung T. Nguyen, et al. ∙

∙ 06/22/2020

Connecting Graph Convolutional Networks and Graph-Regularized PCA

Graph convolution operator of the GCN model is originally motivated from...

0 Lingxiao Zhao, et al. ∙

∙ 06/20/2020

Generalizing Graph Neural Networks Beyond Homophily

We investigate the representation power of graph neural networks in the ...

6 Jiong Zhu, et al. ∙

∙ 11/06/2019

Coverage-based Outlier Explanation

Outlier detection is a core task in data mining with a plethora of algor...

0 Yue Wu, et al. ∙

∙ 09/26/2019

A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification

Semi-supervised learning (SSL) is effectively used for numerous classifi...

0 Xuan Wu, et al. ∙

∙ 09/26/2019

PairNorm: Tackling Oversmoothing in GNNs

The performance of graph neural nets (GNNs) is known to gradually decrea...

0 Lingxiao Zhao, et al. ∙

∙ 07/08/2019

Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection

Nearest-neighbor (NN) procedures are well studied and widely used in bot...

0 Xiaoyi Gu, et al. ∙

∙ 06/28/2019

Continual Rare-Class Recognition with Emerging Novel Subclasses

Given a labeled dataset that contains a rare (or minority) class of of-i...

5 Hung Nguyen, et al. ∙

∙ 05/06/2018

Incorporating Privileged Information to Unsupervised Anomaly Detection

We introduce a new unsupervised anomaly detection ensemble called SPI wh...

0 Shubhranshu Shekhar, et al. ∙

∙ 08/20/2017

Explaining Anomalies in Groups with Characterizing Subspace Rules

Anomaly detection has numerous applications and has been studied vastly....

0 Meghanath Macha, et al. ∙

∙ 09/18/2016

Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective

Ensemble methods for classification and clustering have been effectively...

0 Shebuti Rayana, et al. ∙

∙ 11/19/2015

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection

Review fraud is a pervasive problem in online commerce, in which fraudul...

0 Bryan Hooi, et al. ∙

∙ 11/27/2013

Want a Good Answer? Ask a Good Question First!

Community Question Answering (CQA) websites have become valuable reposit...

0 Yuan Yao, et al. ∙

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