http://aics2019.datascienceinstitute.ie/papers/aics_27.pdf Abstract. Fantasy Premier League (FPL) performance predictors tend to base their algorithms purely on historical statistical data. The main problems with this approach is that external factors such as injuries, managerial decisions and other tournament match statistics can never Read more…
After recently advertising an Assistant Professorship in Computer science (Artificial Intelligence), Trinity College Dublin now has an additional position to fill with a Full Professor in Computer Science focusing on Artificial Intelligence and related disciplines (machine learning, natural language processing, Read more…
This is the pre-print of: Mark Grennan, Martin Schibel, Andrew Collins, and Joeran Beel. “GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing.” In 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 101–112, 2019. final Publication: Read more…
Rohan Anand is a Masters’s student at the School of Computer Science and Statistics at Trinity College Dublin in Ireland and joins our group for the next eight months to conduct his Master Thesis. During his undergraduate program, Rohan published Read more…
We are seeking to hire one business manager, administrator, or marketing expert as the future CEO and one machine learning engineer, software engineer or software architect as the future CTO for our business start-up Darwin & Goliath. The positions are Read more…
Rohit Rawat joins our group for his Master Thesis. Rohit is currently pursuing an MSC in Computer Science majoring in Data Science from Trinity College Dublin. Before joining Trinity College Dublin, he was working with Accenture in Pune, India as Read more…
The School of Computer Science and Statistics (SCSS) at Trinity College Dublin, Ireland, seeks to hire an Assistant Professor in Computer Science (Artificial Intelligence) for a 5-year tenure track. Here is the official description: The School of Computer Science and Read more…
We are delighted to announce that the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science has accepted 4 of our 4 submissions. We are particularly proud that three of the four submissions resulted from the work of Bachelor Read more…
Prapti Setty joins our group for the 2019/2020 Academic Year. Prapti is a 4th-year undergraduate student of Computer Science at Trinity College Dublin. She has experience working as a Software Engineering intern at Microsoft. Prapti has a keen interest in Read more…
Bryan Tyrrell will be joining our group to complete a dissertation during the current academic year. Bryan is currently studying a Masters in the field of computer science and has chosen the future networked systems strand. He completed a bachelor’s Read more…
Divyanshu Marwah is an MSc student at the School of Computer Science and Statistics at Trinity College Dublin. He is doing his post-graduate studies in computer science with a specialization in Data Science. Before joining the Master’s, he worked on Read more…
Time Higher Education has published the World University Rankings 2020 and I am very proud that Trinity College Dublin ranks among the top universities. Overall, Trinity College Dublin ranks #164 in the world and #1 in Ireland, before Dublin City Read more…
After a great guest lecture by Conor Gallagher (Zalando) last year, I am delighted to announce that Conor will be giving a presentation in my e-Business I lecture again. The presentation will be on the 19th of November at 10:00 Read more…
On October 1, 2019, I will be giving an invited talk at Huawei’s ‘Planet-Scale Intelligent Cloud Operations Summit’ in The Gibson Hotel Dublin (11:30 o’clock). Abstract: Selecting and configuring the most effective algorithm for a computational problem is a non-trivial Read more…
We welcome Haley, who will be joining us for the 2019/2020 Academic Year. Haley is an Undergraduate Computer Science & Business student here at Trinity College Dublin. She has just completed an international exchange in The University of Sydney Australia Read more…
Laura Tierney joins our group for the next couple of months. Laura is a 4th-year undergraduate student of Mathematics at Trinity College Dublin. She has experience working as a Data Analyst intern and as a Data Quality intern with the Read more…
We are delighted to announce that Dr. Jorge Cardoso will be giving a guest lecture in our machine-learning module, on Wednesday, the 2nd of October at 12:00 o’clock in the Joly Theatre (Hamilton Building). Guests are very welcome to join. Read more…
We were accepted for publication at ComplexRec 2019, the third workshop on Recommendation in Complex Scenarios at the 13th ACM Recommender Systems Conference (RecSys 2019) in Copenhagan, Denmark. Abstract. effectiveness of recommender system algorithms varies in different real-world scenarios. It Read more…
I love Google Scholar, it’s an amazing search engine for academics, and I have done quite a bit of research on Google Scholar, including an analysis of Google Scholar’s ranking algorithm and the effect of citations on ranking, Google Scholar’s Read more…
Our lab is glad to welcome Dr. Avleen Malhi as a visiting postdoc researcher for September 2019 at Trinity College Dublin Ireland. During Avleen’s stay at Trinity College Dublin, her research will be focused on automated machine learning (AutoML) and exploring Siamese neural networks (SNN) for algorithm selection in our recommender-system as-a-service for digital libraries Mr. DLib.
We are pleased to announce that Colin Daly is joining our core group of researchers. Colin is a part-time researcher and will work towards a Ph.D. over a six-year period. Colin has a BSc from University College Cork, an MBA, Read more…
We will present our recommender-system as-a-service Darwin & Goliath at the 7th COSEAL Workshop in Potsdam, Germany. COSEAL is a forum for discussing the most recent advances in the automated configuration and selection of algorithms. It will take place on August Read more…
Abstract. Many recommender-system datasets are pruned, i.e. some data is removed that wouldn’t be removed in a production recommender-system. For instance, the MovieLens dataset contains only data from users who rated 20 or more movies.1 Similarly, some researchers prune data Read more…
I spent the past two weeks at the National Institute of Informatics (NII) in Tokyo, where I am a visiting professor. As always, being in Tokyo was a great experience both on a personal and a professional level. NII is Read more…
Update 2019-08-12: Some numbers presented in this post were incorrect, and we updated them. For the latest full analysis, please refer to extended pre-print of Data Pruning in Recommender Systems Research: Best Practice or Malpractice? Datasets are a key ingredient Read more…