Aonghus Lawlor

University Name

Ireland

Research Interests

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Articles (17)

Model-data-driven adversarial active learning for brain tumor segmentation

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Year:

2024

Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans

Article Link

Year:

2023

Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems

Article Link

Year:

2023

How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method

Article Link

Year:

2023

Cybersecurity considerations for radiology departments involved with artificial intelligence

Article Link

Year:

2023

Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data

Article Link

Year:

2023

The ethical matrix as a method for involving people living with disease and the wider public (PPI) in near-term artificial intelligence research

Article Link

Year:

2023

DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy

Article Link

Year:

2023

Estimating the cost of training disruptions on marathon performance

Article Link

Year:

2023

Adaptive Adversarial Samples Based Active Learning for Medical Image Classification

Article Link

Year:

2023

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems

Article Link

Year:

2022

Enterprise imaging and big data: A review from a medical physics perspective

Article Link

Year:

2021

DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning

Article Link

Year:

2021

Improving Explainable Recommendations by Deep Review-Based Explanations

Article Link

Year:

2021

MP4Rec: Explainable and accurate top-n recommendations in heterogeneous information networks

Article Link

Year:

2020

Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol

Article Link

Year:

2020

An evaluation of the training determinants of marathon performance: A meta-analysis with meta-regression

Article Link

Year:

2020

Collaborators (42)

Gita Sukthankar

Professor

University of Central Florida

UNITED STATES

Sheikh Rabiul Islam

Assistant Professor

Rutgers University

UNITED STATES

Soon Ae Chun

Professor

UNITED STATES

Mesha L Martinez

Indiana University School of Medicine

UNITED STATES

Sylvain Chartier

Professor

University of Ottawa

CANADA

Francesco Santini

Assistant Professor

Università degli Studi di Napoli Federico II

ITALY

Marco Wilhelm

Technische Universität Dortmund

GERMANY

Syed Ahmad Chan Bukhari

Assistant Professor

St. John's University

UNITED STATES

Silja Renooij

Utrecht University

NETHERLANDS

Deborah L. McGuinness

Rensselaer Polytechnic Institute

UNITED STATES

Juan-Manuel Torres-Moreno

MCF HDR - Associate Professor

FRANCE

Qusay H. Mahmoud

Professor

Ontario Tech University

CANADA

Pierre-Henri Wuillemin

Professor (Associate)

Université Pierre et Marie Curie

FRANCE

Pascal Bercher

Australian National University

AUSTRALIA

Clayton Peterson

Assistant professor

Université du Québec à Trois-Rivières

CANADA

Maikel Leon Espinosa

Assistant Professor of Professional Practice

University of Miami

UNITED STATES

R.H. Dong

Dublin City University

IRELAND

Xiao Luo

Indiana University-Purdue University Indianapolis

UNITED STATES

Ralph Bergmann

University of Trier

GERMANY

Manfred Huber

The University of Texas at Arlington

UNITED STATES

Adriana Giret

Full Professor

Universitat Politècnica de València

SPAIN

Kristýna Pantůčková

Charles University

CZECH REPUBLIC

Fahmida Hamid

Assistant Professor

New College of Florida

UNITED STATES

Zag ElSayed

A. Professor

University of Cincinnati

UNITED STATES

Dmytro Vitel

University of South Florida

UNITED STATES

Neil Hurley

Dublin City University

IRELAND

Noboru Murata

Professor

Waseda University

JAPAN

Stefano Bistarelli

Professore Ordinario

Università degli Studi di Napoli Federico II

ITALY

Md Kamruzzaman Sarker

Assistant Professor

University of Hartford

UNITED STATES

Yevgeniy Vorobeychik

Associate Professor

Washington University in St. Louis

UNITED STATES

Peter Brusilovsky

Professor

University of Pittsburgh

UNITED STATES

Moritz Roidl

Chief Engineer

Technische Universität Dortmund

GERMANY

Malek Mouhoub

University of Regina

CANADA

Marc Legeay

Université d'Angers

FRANCE

Timothy C. Papadopoulos

CYPRUS

Fazel Keshtkar

Associate Professor

St. John's University

UNITED STATES

Massimiliano Filosto

Associate Professor

University of Brescia

ITALY

Muhammad Abu Bakar Siddique

Assistant Professor

University of Kentucky

UNITED STATES

Lubomir Ivanov

Professor

Iona College

UNITED STATES

Jeremy Blackburn

Binghamton University

UNITED STATES

Murat Kantarcioglu

Virginia Polytechnic Institute and State University

UNITED STATES

Kathleen Curran

Prof.

Dublin City University

IRELAND

Aonghus Lawlor

Research Interests

Explore related searches

Contact this professor

Articles (17)

Model-data-driven adversarial active learning for brain tumor segmentation

Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans

Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems

How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method

Cybersecurity considerations for radiology departments involved with artificial intelligence

Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data

The ethical matrix as a method for involving people living with disease and the wider public (PPI) in near-term artificial intelligence research

DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy

Estimating the cost of training disruptions on marathon performance

Adaptive Adversarial Samples Based Active Learning for Medical Image Classification

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems

Enterprise imaging and big data: A review from a medical physics perspective

DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning

Improving Explainable Recommendations by Deep Review-Based Explanations

MP4Rec: Explainable and accurate top-n recommendations in heterogeneous information networks

Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol

An evaluation of the training determinants of marathon performance: A meta-analysis with meta-regression

Collaborators (42)

Gita Sukthankar

Sheikh Rabiul Islam

Soon Ae Chun

Mesha L Martinez

Sylvain Chartier

Francesco Santini

Marco Wilhelm

Syed Ahmad Chan Bukhari

Silja Renooij

Deborah L. McGuinness

Juan-Manuel Torres-Moreno

Qusay H. Mahmoud

Pierre-Henri Wuillemin

Pascal Bercher

Clayton Peterson

Maikel Leon Espinosa

R.H. Dong

Xiao Luo

Ralph Bergmann

Manfred Huber

Adriana Giret

Kristýna Pantůčková

Fahmida Hamid

Zag ElSayed

Dmytro Vitel

Neil Hurley

Noboru Murata

Stefano Bistarelli

Md Kamruzzaman Sarker

Yevgeniy Vorobeychik

Peter Brusilovsky

Moritz Roidl

Malek Mouhoub

Marc Legeay

Timothy C. Papadopoulos

Fazel Keshtkar

Massimiliano Filosto

Muhammad Abu Bakar Siddique

Lubomir Ivanov

Jeremy Blackburn

Murat Kantarcioglu

Kathleen Curran

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