David Lillis

David Lillis

University College Dublin

H-index: 15

Europe-Ireland

About David Lillis

David Lillis, With an exceptional h-index of 15 and a recent h-index of 13 (since 2020), a distinguished researcher at University College Dublin, specializes in the field of Legal NLP, Information Retrieval, Digital Forensics, Data Analytics, Multi Agent Systems.

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

A neural meta model for predicting winter wheat crop yield

Comparing the Similarity of OpenAPI-Based Microservices

Spatiotemporal Object Detection and Activity Recognition

Argument mining with graph representation learning

A deep learning model for heterogeneous dataset analysis-application to winter wheat crop yield prediction

A survey on microservices trust models for open systems

Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning

Experimenting with ensembles of pre-trained language models for classification of custom legal datasets

David Lillis Information

University

Position

Assistant Professor School of Computer Science

Citations(all)

1041

Citations(since 2020)

656

Cited By

591

hIndex(all)

15

hIndex(since 2020)

13

i10Index(all)

29

i10Index(since 2020)

19

Email

University Profile Page

University College Dublin

Google Scholar

View Google Scholar Profile

David Lillis Skills & Research Interests

Legal NLP

Information Retrieval

Digital Forensics

Data Analytics

Multi Agent Systems

Top articles of David Lillis

Title

Journal

Author(s)

Publication Date

A neural meta model for predicting winter wheat crop yield

Machine Learning

Yogesh Bansal

David Lillis

M Kechadi

2024/1/22

Comparing the Similarity of OpenAPI-Based Microservices

Zhongyi Lu

Declan T Delaney

David Lillis

2024

Spatiotemporal Object Detection and Activity Recognition

Vimal Kumar

Shobhit Jain

David Lillis

2024/4/16

Argument mining with graph representation learning

Gechuan Zhang

Paul Nulty

David Lillis

2023/6/19

A deep learning model for heterogeneous dataset analysis-application to winter wheat crop yield prediction

Yogesh Bansal

David Lillis

M-Tahar Kechadi

2023/5/27

A survey on microservices trust models for open systems

IEEE Access

Zhongyi Lu

Declan T Delaney

David Lillis

2023/3/21

Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning

Yogesh Bansal

David Lillis

Tahar Kechadi

2022/12/14

Experimenting with ensembles of pre-trained language models for classification of custom legal datasets

Tamara Matthews

David Lillis

2022/12

Using Pseudo-Labelled Data for Zero-Shot Text Classification

Congcong Wang

Paul Nulty

David Lillis

2022/6/13

A decade of legal argumentation mining: Datasets and approaches

Gechuan Zhang

Paul Nulty

David Lillis

2022/6/13

Enhancing legal argument mining with domain pre-training and neural networks

Journal of Data Mining & Digital Humanities

D Lillis

Paul Nulty

G Zhang

2022/6/10

Can domain pre-training help interdisciplinary researchers from data annotation poverty? A case study of legal argument mining with BERT-based transformers

Gechuan Zhang

David Lillis

Paul Nulty

2021/12

Multi-task transfer learning for finding actionable information from crisis-related messages on social media

TREC 2020

Congcong Wang

David Lillis

2021/2/26

Crisis Domain Adaptation Using Sequence-to-sequence Transformers

arXiv preprint arXiv:2110.08015

Congcong Wang

Paul Nulty

David Lillis

2021/10/15

Transformer-based Multi-task Learning for Disaster Tweet Categorisation

arXiv preprint arXiv:2110.08010

Congcong Wang

Paul Nulty

David Lillis

2021/10/15

Ucd-cs at trec 2021 incident streams track

arXiv preprint arXiv:2112.03737

Congcong Wang

David Lillis

2021/12/7

Explicit Modelling of Resources for Multi-Agent MicroServices using the CArtAgO Framework.

Eoin O'Neill

David Lillis

Gregory MP O'Hare

Rem W Collier

2020/5/5

On the evaluation of data fusion for information retrieval

David Lillis

2020/12/16

The UCD-Net system at SemEval-2020 Task 1: Temporal referencing with semantic network distances

Paul Nulty

David Lillis

2020/12

Delivering multi-agent MicroServices using CArtAgO

Eoin O’Neill

David Lillis

Gregory MP O’Hare

Rem W Collier

2020

See List of Professors in David Lillis University(University College Dublin)

Co-Authors

H-index: 38
Nhien-An Le-Khac

Nhien-An Le-Khac

University College Dublin

H-index: 35
Brett A. Becker

Brett A. Becker

University College Dublin

H-index: 32
Frank Breitinger

Frank Breitinger

Université de Lausanne

H-index: 30
Michael O'Grady

Michael O'Grady

University College Dublin

H-index: 25
Rem Collier

Rem Collier

University College Dublin

H-index: 21
Mark Scanlon

Mark Scanlon

University College Dublin

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