Robin Gras

Robin Gras

University of Windsor

H-index: 22

North America-Canada

About Robin Gras

Robin Gras, With an exceptional h-index of 22 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Windsor, specializes in the field of Deep Learning, Machine Learning, Articial Intelligence, Theoretical Biology, Ecological Modelling.

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

Summary Augmenter: A Text Augmentation Framework to Improve Summarization Quality

Efficient Latent Space Compression for Lightning-Fast Fine-Tuning and Inference of Transformer-Based Models

Lottery Ticket Search on Untrained Models with Applied Lottery Sample Selection

Identification of neurotoxic compounds in cyanobacteria exudate mixtures

Using individual-based modelling to investigate a pluralistic explanation for the prevalence of sexual reproduction in animal species

Attention Visualizer Package: Revealing Word Importance for Deeper Insight into Encoder-Only Transformer Models

A Robust Approach to Fine-Tune Pre-Trained Transformer-Based models for Text Summarization through Latent Space Compression

Lottery Ticket Structured Node Pruning for Tabular Datasets

Robin Gras Information

University

Position

Professor of Computer Science

Citations(all)

1786

Citations(since 2020)

462

Cited By

1521

hIndex(all)

22

hIndex(since 2020)

10

i10Index(all)

41

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Robin Gras Skills & Research Interests

Deep Learning

Machine Learning

Articial Intelligence

Theoretical Biology

Ecological Modelling

Top articles of Robin Gras

Title

Journal

Author(s)

Publication Date

Summary Augmenter: A Text Augmentation Framework to Improve Summarization Quality

International Journal on Artificial Intelligence Tools

AA Falaki

R Gras

2024/2/20

Efficient Latent Space Compression for Lightning-Fast Fine-Tuning and Inference of Transformer-Based Models

Machine Learning and Knowledge Extraction

Ala Alam Falaki

Robin Gras

2023/7/30

Lottery Ticket Search on Untrained Models with Applied Lottery Sample Selection

Machine Learning & Knowledge Extraction

Ryan Bluteau

Robin Gras

2023/4/18

Identification of neurotoxic compounds in cyanobacteria exudate mixtures

Science of The Total Environment

Yuanyan Zi

Justin R Barker

Hugh J MacIsaac

Ruihan Zhang

Robin Gras

...

2023/1/20

Using individual-based modelling to investigate a pluralistic explanation for the prevalence of sexual reproduction in animal species

Ecological Modelling

Brian MacPherson

Ryan Scott

Robin Gras

2023/1/1

Attention Visualizer Package: Revealing Word Importance for Deeper Insight into Encoder-Only Transformer Models

arXiv preprint arXiv:2308.14850

Ala Alam Falaki

Robin Gras

2023/8/28

A Robust Approach to Fine-Tune Pre-Trained Transformer-Based models for Text Summarization through Latent Space Compression

Ala Alam Falaki

Robin Gras

2022/12/12

Lottery Ticket Structured Node Pruning for Tabular Datasets

Machine Learning and Knowledge Extraction

Ryan Bluteau

Robin Gras

Zachary Innes

Mitchel Paulin

2022/10/28

Using individual-based modeling to investigate whether fluctuating resources help to explain the prevalence of sexual reproduction in animal species

Ecological Informatics

Brian MacPherson

Ryan Scott

Robin Gras

2022/5/1

Data-Mining with Three Genome-Scale Approaches Supports that Lungfish is the Closest Living Relative of Land Vertebrate, but not Coelacanth

Yunfeng Shan

Guo Li

Xiu-Qing Li

Robin Gras

Youjun Zhou

2022/12/14

Sex and recombination purge the genome of deleterious alleles: An Individual Based Modeling Approach

Ecological Complexity

Brian MacPherson

Ryan Scott

Robin Gras

2021/1/1

Using individual-based modelling to investigate the possible role that the Red Tooth effect plays in maintaining sexual reproduction

Ecological Modelling

Brian MacPherson

Ryan Scott

Robin Gras

2021/11/1

Improving Sentiment Classification Using 0-Shot Generated Labels for Custom Transformer Embeddings

Ryan Bluteau

Robin Gras

2021/10/6

Compressing Transformer-Based Sequence to Sequence Models With Pre-trained Autoencoders for Text Summarization

Ala Alam Falaki

Robin Gras

2021/10/6

A simulation study shows impacts of genetic diversity on establishment success of digital invaders in heterogeneous environments

Ecological modelling

Ryan Scott

Robin Gras

2020/9/1

See List of Professors in Robin Gras University(University of Windsor)

Co-Authors

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