Evangelos E. Papalexakis

Evangelos E. Papalexakis

University of California, Riverside

H-index: 36

North America-United States

About Evangelos E. Papalexakis

Evangelos E. Papalexakis, With an exceptional h-index of 36 and a recent h-index of 29 (since 2020), a distinguished researcher at University of California, Riverside, specializes in the field of Data Mining, Tensor Decomposition, Graph Mining, Fake News Detection.

His recent articles reflect a diverse array of research interests and contributions to the field:

TenGAN: adversarially generating multiplex tensor graphs

Improving Out-of-Vocabulary Handling in Recommendation Systems

Prefrontal multistimulus integration within a dedicated disambiguation circuit guides interleaving contingency judgment learning

Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification

Interpretable Multi-Agent Reinforcement Learning with Decision-Tree Policies

Machine Learning for Complex Instrument Design and Optimization

Search for eccentric black hole coalescences during the third observing run of LIGO and virgo

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation

Evangelos E. Papalexakis Information

University

Position

Assistant Professor

Citations(all)

6511

Citations(since 2020)

4533

Cited By

4077

hIndex(all)

36

hIndex(since 2020)

29

i10Index(all)

88

i10Index(since 2020)

70

Email

University Profile Page

University of California, Riverside

Google Scholar

View Google Scholar Profile

Evangelos E. Papalexakis Skills & Research Interests

Data Mining

Tensor Decomposition

Graph Mining

Fake News Detection

Top articles of Evangelos E. Papalexakis

Title

Journal

Author(s)

Publication Date

TenGAN: adversarially generating multiplex tensor graphs

Data Mining and Knowledge Discovery

William Shiao

Benjamin A Miller

Kevin Chan

Paul Yu

Tina Eliassi-Rad

...

2024/1

Improving Out-of-Vocabulary Handling in Recommendation Systems

arXiv preprint arXiv:2403.18280

William Shiao

Mingxuan Ju

Zhichun Guo

Xin Chen

Evangelos Papalexakis

...

2024/3/27

Prefrontal multistimulus integration within a dedicated disambiguation circuit guides interleaving contingency judgment learning

Edward Korzus

Justin Pastore

Johannes Mayer

Tyler Bailey

John Speigel III

...

2024/1/31

Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification

Uday Singh Saini

Zhongfang Zhuang

Chin-Chia Michael Yeh

Wei Zhang

Evangelos E Papalexakis

2024

Interpretable Multi-Agent Reinforcement Learning with Decision-Tree Policies

Stephanie Milani

Zhicheng Zhang

Nicholay Topin

Zheyuan Ryan Shi

Charles Kamhoua

...

2024

Machine Learning for Complex Instrument Design and Optimization

Barry C Barish

Jonathan Richardson

Evangelos E Papalexakis

Rutuja Gurav

2023

Search for eccentric black hole coalescences during the third observing run of LIGO and virgo

arXiv preprint arXiv:2308.03822

AG Abac

R Abbott

H Abe

F Acernese

K Ackley

...

2023/8/7

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation

Ravdeep S Pasricha

Uday Singh Saini

Nicholas D Sidiropoulos

Fei Fang

Kevin Chan

...

2023

Carl-g: Clustering-accelerated representation learning on graphs

William Shiao

Uday Singh Saini

Yozen Liu

Tong Zhao

Neil Shah

...

2023

Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results

arXiv preprint arXiv:2312.00296

Biqian Cheng

Evangelos E Papalexakis

Jia Chen

2023/12/1

AcTrak: Controlling a Steerable Surveillance Camera using Reinforcement Learning

ACM Transactions on Cyber-Physical Systems

Abdulrahman Fahim

Evangelos Papalexakis

Srikanth V Krishnamurthy

Amit K. Roy Chowdhury

Lance Kaplan

...

2023/4/19

Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision …

arXiv preprint arXiv:2311.15138

Rutuja Gurav

Het Patel

Zhuocheng Shang

Ahmed Eldawy

Jia Chen

...

2023/11/25

Open data from the third observing run of LIGO, Virgo, KAGRA and GEO

arXiv preprint arXiv:2302.03676

R Abbott

H Abe

F Acernese

K Ackley

S Adhicary

...

2023/2/7

NEURAL ADDITIVE TENSOR DECOMPOSITION FOR SPARSE TENSORS

Dawon Ahn

Uday Singh Saini

Evangelos E Papalexakis

Ali Payani

2023/10/13

Compact Interpretable Tensor Graph Multi-Modal News Embeddings

Dawon Ahn

William Shiao

Andrew Bauer

Arindam Khaled

Stefanos Poulis

...

2023

Machine Learning Classification of LIGO Seismic States

Bulletin of the American Physical Society

Isaac Kelly

Rutuja Gurav

Pooyan Goodarzi

Evangelos Papalexakis

Jon Richardson

2023/10/13

TensorShield: Tensor-based defense against adversarial attacks on images

Negin Entezari

Evangelos E Papalexakis

2022/11/28

FRAPPE: ast nk roximation with xplainable Features for Tensors

arXiv preprint arXiv:2206.09316

William Shiao

Evangelos E Papalexakis

2022/6/19

Unsupervised Multiview Embedding of Node Embeddings

Jia Chen

Dalia Orozco

Lizeth Figueroa

Evangelos E Papalexakis

2022/11

Adversarial Generation of Multi-View Tensor Graphs: A Preliminary Model and Encouraging Results

Machine Learning on Graphs (MLoG) Workshop at WSDM 2022

William Shiao

Benjamin A Miller

Kevin Chan

Paul Yu

Tina Eliassi-Rad

...

2022/1

See List of Professors in Evangelos E. Papalexakis University(University of California, Riverside)

Co-Authors

H-index: 151
Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

H-index: 99
Tom Mitchell

Tom Mitchell

Carnegie Mellon University

H-index: 87
Jimeng Sun

Jimeng Sun

University of Illinois at Urbana-Champaign

H-index: 84
Rasmus Bro

Rasmus Bro

Københavns Universitet

H-index: 71
Nikolaos Sidiropoulos

Nikolaos Sidiropoulos

University of Virginia

H-index: 65
Michalis Faloutsos

Michalis Faloutsos

University of California, Riverside

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