Zois Boukouvalas

Zois Boukouvalas

American University

H-index: 12

North America-United States

About Zois Boukouvalas

Zois Boukouvalas, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at American University, specializes in the field of Machine learning, multimodal data fusion, natural language processing, information geometry, numerical optimization.

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

Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events

Role of Statistics in Detecting Misinformation: A Review of the State of the Art, Open Issues, and Future Research Directions

Using LLMs to discover emerging coded antisemitic hate-speech emergence in extremist social media

Multimodal One-class Learning for Malicious Online Content Detection

Independent vector analysis with sparse inverse covariance estimation: An application to misinformation detection

A Machine Learning Framework to Predict Unreacted Shock Compression Response of Solids Under Scarce Data

A Data Fusion Approach for Quantitative Property Prediction Using Natural Language Processing

Machine learning for shock compression of solids using scarce data

Zois Boukouvalas Information

University

Position

___

Citations(all)

1123

Citations(since 2020)

1072

Cited By

413

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Zois Boukouvalas Skills & Research Interests

Machine learning

multimodal data fusion

natural language processing

information geometry

numerical optimization

Top articles of Zois Boukouvalas

Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events

Machine Learning

2024/4

Role of Statistics in Detecting Misinformation: A Review of the State of the Art, Open Issues, and Future Research Directions

2024/3

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

Using LLMs to discover emerging coded antisemitic hate-speech emergence in extremist social media

arXiv preprint arXiv:2401.10841

2024/1/19

Multimodal One-class Learning for Malicious Online Content Detection

2023/12/15

Independent vector analysis with sparse inverse covariance estimation: An application to misinformation detection

2023/9/17

Roberto Corizzo
Roberto Corizzo

H-Index: 9

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

A Machine Learning Framework to Predict Unreacted Shock Compression Response of Solids Under Scarce Data

Bulletin of the American Physical Society

2023/6/23

A Data Fusion Approach for Quantitative Property Prediction Using Natural Language Processing

Bulletin of the American Physical Society

2023/6/20

Machine learning for shock compression of solids using scarce data

Journal of Applied Physics

2023/4/21

Sangeeth Balakrishnan
Sangeeth Balakrishnan

H-Index: 1

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

Application of machine learning and artificial intelligence methods to energetics science and technology

2022/12/1

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

Efficient multivariate data fusion for misinformation detection during high impact events

2022/10/10

Nathalie Japkowicz
Nathalie Japkowicz

H-Index: 32

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora

arXiv preprint arXiv:2206.00773

2022/6/1

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

Jointly Embedded Machine Learning Approach for Polymer Combustion Properties

APS Shock Compression of Condensed Matter Meeting Abstracts

2022

Automated Knowledge Graph Generation from Text for Synthesis of Energetic Materials

APS Shock Compression of Condensed Matter Meeting Abstracts

2022

Ameliorating synthesis and scarce data challenges through joint embedding for high energy molecule generation

APS Shock Compression of Condensed Matter Meeting Abstracts

2022

Quantitative properties through semantic learning

Bulletin of the American Physical Society

2022/7/14

Independent vector analysis for molecular data fusion: Application to property prediction and knowledge discovery of energetic materials

2021/1/18

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

The case for latent variable vs deep learning methods in misinformation detection: An application to covid-19

2021

A semi-supervised framework for misinformation detection

2021

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

Nathalie Japkowicz
Nathalie Japkowicz

H-Index: 32

Locally Optimizable Joint Embedding Framework to Design Nitrogen‐rich Molecules that are Similar but Improved

Molecular Informatics

2021/7

Sangeeth Balakrishnan
Sangeeth Balakrishnan

H-Index: 1

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm

2021/6/6

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

See List of Professors in Zois Boukouvalas University(American University)