Machine learning is one of my core research areas here at Trinity College Dublin in Ireland. I am particularly interested in machine learning and deep learning for recommender-systems as well as automated machine learning (AutoML), meta-learning for algorithm selection, machine-learning evaluation, curriculum learning, and Neural Turing Machines. I teach the Machine Learning module with around 200 students and I am the director of the Intelligent Systems Strand at the School of Computer Science and Statistics at Trinity College Dublin, Ireland. For more details on my work about machine learning read the blog posts below or have a look at the menu above. I am also open to industry collaborations and my group often has open positions for PhDs in machine learning. You find our main website at http://machine-learning.ie/ and the page you are currently looking at, at http://dublin.machine-learning.ie.
Aicha is a PhD student of Computer Science at the University of Laghouat in Algeria. She arrives today and will work with us for 1.5 years. Aicha’s research interests include machine learning, natural language processing, and recommender systems. Aicha’s PhD topic is analyzing user engagement behaviour in online social networks Read more…
Ian will be joining us for 6 months starting today. Ian is currently enrolled as a master’s student of Computer and Information Science at the University of Konstanz in the south of Germany. Ian’s research interests include machine learning, natural language processing, information retrieval and recommender systems. Ian is currently Read more…
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…
Our lab is glad to welcome Hebatallah Mohamed as a visiting PhD student for three months. Hebatallah is a PhD student at the Department of Computer Science at the University of Roma Tre in Italy. In Rome, she is doing her PhD under the supervision of Prof. Alessandro Micarelli in 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…
As in previous years, Trinity College Dublin has up to 10 scholarships to award for PhD positions as part of the China Scholarship Council – Trinity College Dublin Joint Scholarship Programme. Each scholarship will include a full fee-waiver from Trinity, and a stipend for living costs (currently €1,200 per month), Read more…
After announcing a guest presentation from Zalando in our e-Business lecture, we are delighted to announce another talk by Zalando, this time in our machine learning lecture. Antoaneta Marinova from Zalando, will give a presentation on 27th November at 15:00 o’clock. Antoaneta is a Data Engineer in the Customer Fashion Profile 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…
From the 19th of June until the 2nd of July 2018, I am in Japan at the National Institute of Informatics (NII). It is my first visit as Visiting Professor at the NII, and I am working with Professor Akiko Aizawa on a recommender-system and machine-learning project. Besides that work, there are 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…
Our paper “Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers” got recently accepted and will be presented at Joint Conference on Digital Libraries 2018. Abstract: Bibliographic reference parsing refers to extracting machine-readable metadata, such as the names of the authors, the Read more…
Our paper “Who Did What? Identifying Author Contributions in Biomedical Publications using Naïve Bayes” got recently accepted and will be presented at Joint Conference on Digital Libraries 2018. Abstract: Creating scientific publications is a complex process. It is composed of a number of different activities, such as designing the experiments, 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…