Update: Deadline extended to July 15th, 2019. ELITE-S provides up to 16 postdoctoral fellowships to work for 2 years in the ADAPT Research Centre at Trinity College Dublin, University College Dublin, or other Irish universities as well as with an industry partner. ELITE-S is a EU Marie Skłodowska-Curie COFUND Action. Read more…
The 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS) is over, and it was a full success. This year, AICS celebrated its 30th anniversary and was hosted by Trinity College Dublin’s School of Computer Science and Statistics, the School of Psychology and the Institute of Neuroscience. I had the Read more…
Our paper “A Novel Approach to Recommendation Algorithm Selection using Meta-Learning” was accepted for publication at the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS): Introduction The ‘algorithm selection problem’ describes the challenge of finding the most effective algorithm for a given recommendation scenario. Some typical recommendation scenarios are Read more…
Our proposal for the “1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)“, to be held at the 41st European Conference on Information Retrieval (ECIR), was accepted. AMIR will take place on the 14th of April 2019 in Cologne, Germany. The algorithm selection problem describes the challenge Read more…
Our manuscript “ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers” was accepted for publication at the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS). It is an extended version of our recently presented poster “ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing” at the ACM RecSys conference. The Read more…
Update 2019-05-25: Google integrates our Neural Turing Machine implementation in TensorFlow. We received the best-paper award at the 27th International Conference on Artificial Neural Networks (ICANN 2018) for our paper Implementing Neural Turing Machines. Our student, and co-author of the paper, Mark Collier was at ICANN to present our work about implementing Read more…
Update 12/11/2018: Our paper has been accepted at AICS 2018 and will be presented at the conference in December. We have published a pre-print (now available on Arxiv) which outlines our work comparing different syllabuses for curriculum learning. Neural networks are typically trained by repeatedly randomly selecting examples from a Read more…
Lars Kotthoff and I have applied to organize the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) at the 41st European Conference on Information Retrieval (ECIR). Let’s cross fingers and hope it will get accepted. In the following, you find the proposal (also available on ResearchGate as PDF). Read more…
The Irish Research Council (IRC) has published a new call for its “Government of Ireland Postgraduate Scholarship” programme. We are eligible to supervise applicants during their application process and act as PhD supervisor for the 4-year period of the scholarship. Hence, if you are interested in doing a PhD at Read more…
The 3rd call for EU Marie Curie EDGE fellowships has been published. We successfully supported the application of one EDGE fellow a year ago, and we would be happy to support talented candidates this year, too. So, if you are interested in an EDGE fellowship in the field of machine learning, recommender systems or Read more…
The University of Dublin, Trinity College, invites applications for the position of Professor of Intelligent Systems. The successful candidate will provide strong academic leadership in research, teaching and supervision. The Professor will strengthen the strategic research areas of Artificial Intelligence and Intelligent Content in the School of Computer Science and Read more…
We are delighted to announce that our poster “ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing” has been accepted at the 12th ACM Recommender Systems Conference (RecSys) for presentation in Vancouver, Canada. The pre-print is available on arXiv, and here in our blog: Abstract Bibliographic reference parsers extract metadata (e.g. author names, Read more…
Update 2019-05-25: Google integrates our NTM implementation in the official TensorFlow release. Update 2018-10-20: Official publication available at SpringerLink Update: 2018-10-06: Our paper received the best-paper award at ICANN. We have released an open source implementation of a Neural Turing Machine for TensorFlow, and published on arXiv the corresponding paper which Read more…
I am on the advisory board of Iris.ai, a business start-up in the field of open science, blockchain, and artificial intelligence. Iris.ai was founded in 2015 and since then has released several exciting products that have the potential to revolutionize how scientists work. With their latest project, Project Aiur, the Read more…
The German Academic Exchange Service (DAAD) organizes the “Postdoctoral Researchers’ Networking AI Tour” 2018 to offer on-site visits to universities, research institutes and companies in the field of artificial intelligence, discussions with experts and numerous networking opportunities. Programme-related costs and a travel allowance are covered by DAAD. We have cooperated Read more…
The European Union has published the call for Individual Marie Curie Fellowships (MSCA) with the application deadline being 12 September 2018. The goal of the Individual Fellowships is to enhance the creative and innovative potential of experienced researchers. Our group has already one Marie Curie fellow, i.e. a postdoctoral researcher, as part of Read more…
We have received funding to hire two employees to spin-out a business start-up in the field of recommendations-as-a-service. The two positions are to be filled with two machine-learning engineers, software engineers, software architects or product managers and both employees are expected to work together very closely here at Trinity College Read more…
The next Machine Learning Dublin Meetup will take place on 30th April 2018 at Zalando Dublin, 3 Grand Canal Quay, Dublin 2, Ireland from 6:00 PM to 9:00 PM. I am one of the three presenters: Joeran Beel, Assistant Professor at ADAPT Centre The Potential of Meta Recommender-Systems at Macro- and Read more…
We successfully registered the domain machine-learning.ie (in addition to our domain names relating to recommender-systems). For now, all domains point to our main website https://ISG.beel.org/. In the long run, we may use the domain machine-learning.ie for more specific purposes relating to machine learning. For instance, we may build a platform that Read more…
We are delighted to announce the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’2018), which we will co-organize together with Rob Brennan, Ruth Byrne, Jeremy Debattista, and a renowned program committee. AICS 2018 takes place from December 6 to 7, 2018 at Trinity College Dublin, more precisely in the Long Room Read more…
The Machine Learning Meetup in Dublin, takes place on the last Monday every month. This month, the machine learning meetup is hosted by Dogpatch and there will be plenty of exciting presentations about machine learning: Marco Forte (PhD researcher, Sigmedia Group) speaks about foreground estimation in machine learning and motion estimation Read more…
Today, I just discovered that our website is ranked #4 by Google for the search query ‘machine learning dublin’ and #6 for ‘dublin machine learning’. Of course, this is not to mean that we, the School of Computer Science and Statistics at Trinity College Dublin or the ADAPT Centre are one of the primary authorities in the field of machine-learning in Dublin or Read more…
This is another post in our series What Machine-Learning Students Think/Like/Know/Are …, which we began during teaching our Machine-Learning module at Trinity College Dublin, Ireland. Today, we present the machine-learning students’ experience and preferences of machine-learning libraries such as scikit-learn, Tensorflow, and Weka. This survey was conducted in one of the Read more…
Students apparently had a strong focus on the application of machine learning. Students could each distribute 100 points to the different categories, and most students (24% of the points) wanted to learn about machine learning frameworks like scikit-learn, or Tensorflow. However, also a deep understanding of algorithms was demanded (19%). Read more…
