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        <article-title>The 28th AIAI Irish Conference on Arti cial Intelligence and Cognitive Science</article-title>
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        <aff id="aff0">
          <label>0</label>
          <institution>CeADAR, the Enterprise Ireland's Centre for Applied Arti cial Intelligence</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>D-Real, the Science Foundation Ireland centre for Research Training in Digitally-Enhanced Reality</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Insight Centre for Data Analytics https://</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Machine Learning labs, the Science Foundation Ireland centre for Research Training in Machine Learning</institution>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Technological University Dublin, School of Computer Science</institution>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>University College Dublin, School of Computer Science</institution>
        </aff>
      </contrib-group>
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      <title>Introduction</title>
      <p>Arti cial Intelligence is at the forefront of science and technology, especially in
the Republic of Ireland. It is an exciting time to be a scholar in this
fascinating discipline of research. This is re ected in the record number of articles (71)
submitted to this year's Irish Conference on Arti cial Intelligence and Cognitive
Science (AICS 2020), in its 28th edition. These proceedings collect the best
scienti c contributions and exciting research taking place in the Republic of Ireland
in 2020. We are in a delicate and uncertain time, living during the COVID-19
pandemic that sometimes seems will never end and prevents us from meeting in
person. However, this has not stopped scholars to work on a disparate range of
theoretical topics such as deep, transfer, and reinforcement learning,
explainability, ethics, and transparency of arti cial intelligence as well as many applications
in various domains such as in health care, stock market, online news, social
media, and biology. While we cannot meet in person this year, the AICS community
has proved to be adaptable making this edition the rst ever virtual AICS
conference, allowing everyone to participate while not having to leave their own homes.</p>
      <p>The technical programme of the conference was built with scienti c
contributions that went through a rigorous peer-review process. The programme
committee, composed of doctorates and professors working in Irish institutions
from academia and industry, did a thorough and professional job in reviewing all
the submitted manuscripts, providing authors with rich and constructive
feedback. Each article has received at least 2 reviews with multi-section rates and
avenues of improvement. Reviewers had a bidding phase in which they could
select preferred manuscripts. Con ict of interests of reviewers and authors, as
well as their institutional a liations, were taken into account. Submitted work
was divided into 3 tracks: full papers, student papers, and nectar papers. Full
papers were mainly empirical-based researchers, original contributions
describing either basic research, interesting applications, or in-use experiences. Student
papers were emerging works where the rst author was a university student
either at the masters or doctoral level. Nectar papers described signi cant results
previously presented at other international conferences and authors were given
the possibility to verbally present their work.</p>
      <p>Prof. Francesca Toni, from Imperial College London, was the keynote speaker
of this year's conference with an exciting talk on computational
argumentation and explanations. The incessant progress in machine learning has led to
the automatic formation of computational models, trained from data, that are
highly explainable but su er from a lack of inferential transparency,
explainability, and interpretability. Therefore, explainable arti cial intelligence, probably
one of the fastest growing sub-disciplines of arti cial intelligence, is aimed at
tackling the above issues and either wrap computational models with
explanations or learn self-explainable models, for example, by using neuro-symbolic
reasoning approaches.</p>
      <p>The end results of the AICS 2020 programme were of outstanding quality.
We wish to express our gratitude and deepest appreciation to the 54
professional programme committee members, the many authors who submitted their
contributions, as well as all the Irish institutions who supported us in delivering
and running a successful national conference. With your high-quality
involvement and devotion, AICS continues its tradition of excellence in the Republic of
Ireland and active role in advancing the disciplines of arti cial intelligence and
cognitive science, informing the industry sector with original contributions, as
well as the public with novel applications.
2</p>
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      <title>Acknowledgments</title>
      <p>We are thankful for the support of the conference programme committee and
our sponsors.
2.1</p>
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        <title>The Programme Commitee</title>
        <p>{ Antonio Bevilacqua (University College Dublin)
{ Declan O'Sullivan (Trinity College Dublin)
{ Matthias Nickles (National University of Ireland)
{ Ivana Dusparic (Trinity College Dublin)
{ Frank Glavin (National University of Ireland)
{ Niladri Sett (University College Dublin)
{ Ali Naeem (Insight Centre for Data Analytics)
{ Luis Miralles (Technological University Dublin)
{ Sara Perez (University College Dublin)
{ Conor Hayes (Insight Centre for Data Analytics)
{ Dympna O'Sullivan (Technological University Dublin)
{ Suzanne Little (Dublin City University)
{ Susan Mckeever (Technological University Dublin)
{ Aonghus Lawlor (University College Dublin)
{ Deirdre Desmond (Maynooth University)
{ Bojan Bozic (Technological University Dublin)
{ Derek Greene (University College Dublin)
{ Brian Mac Namee (University College Dublin)
{ Bianca Schoen-Phelan (Technological University Dublin)
{ Sean O'Leary (Technological University Dublin)
{ Severin Gsponer (Insight Centre for Data Analytics)
{ Rob Brennan (Dublin City University)
{ Gareth Jones (Dublin City University)
{ Svetlana Hensman (Technological University Dublin)
{ Fiona Newell (Trinity College Dublin)
{ Paul Buitelaar (Insight Centre for Data Analytics)
{ Ken Brown (University College Cork)
{ Fred Cummins (University College Dublin)
{ Alan Smeaton (Dublin City University)
{ Thi Nguyet Que Nguyen (Technological University Dublin)
{ Colm O'Riordan (National University of Ireland, Galway)
{ Mihael Arcan (Insight Centre for Data Analytics)
{ Tiziana Margaria (Lero centre)
{ Paul Mckevitt (University of Ulster)
{ Diarmuid O'Donoghue (Maynooth University)
{ Emma Murphy (Technological University Dublin)
{ Ruairi O'Reilly (Cork Institute of Technology)
{ Duncan Wallace (Insight Centre for Data Analytics)
{ John P. McCrae (National University of Ireland, Galway)
{ Mathieu D'Aquin (Data Science Institute)
{ Eoghan Furey (Letterkenny Institute of Technology)
{ Sarah Jane Delany (Technological University Dublin)
{ Lorraine McGinty (University College Dublin)
{ Enda Barrett (National University of Ireland, Galway)
{ Mark Keane (University College Dublin)
{ Barry Smyth (University College Dublin)
{ Suzanne Egan (Mary Immaculate College)
{ Michael Schukat (National University of Ireland, Galway)
{ Ken Du y (Maynooth University)
{ Fintan Costello (University College Dublin)
{ Katryna Cisek (Technological University Dublin)
{ James McDermott (National University of Ireland, Galway)
{ Cathy Ennis (Technological University Dublin)
{ Derek Bridge (University College Cork)</p>
        <p>Longo et al.</p>
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        <title>Sponsors and Supporters</title>
        <p>The 28th Irish conference on Arti cial Intelligence and Cognitive Science is
grateful for the support received by the Technological University Dublin and The
University College Dublin, as well as the Arti cial Intelligence Association of
Ireland (AIAI).</p>
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