Automated Machine Learning (AutoML) is receiving increased attention with more and more tools and software libraries released to ease the process of automating the machine learning pipeline, particularly algorithm selection and configuration. We have created a table of some of the more promising AutoML tools and software libraries. We plan Read more…
From 19 to 23 October 2020, the CIKM conference will take place in Galway, Ireland, and the call for papers has just been released. The Conference on Information and Knowledge Management (CIKM) is a key event for the international academic, business and government communities to discuss research on information retrieval, Read more…
This is a continuous call until 2022, with student intakes in September every year (and potentially in March). Next deadline is the 29th of February 2020 for a start in September 2020 for the CRT-AI, and 18th of March for the D-Real CRT. Science Foundation Ireland (SFI) agreed to fund Read more…
Mohammed Al-Rawi is a researcher in the field of computer vision and machine learning. He is interested in analysing images and other data. Throughout his career, he has worked in a few academic institutions including the Department of Electronics, Telecommunications and Informatics at the University of Aveiro (Portugal). His latest Read more…
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 be factored into the final predictions. In this paper, we 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: http://aics2019.datascienceinstitute.ie/papers/aics_25.pdf Abstract. Extracting and parsing reference strings from research articles 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 a paper titled BarGain: Crowd-Sourced Machine Learning Integrated E-Commerce. After 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 placed for around 12 months at Trinity College Dublin, fully 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 Statistics is seeking to appoint an Assistant Professor in Computer 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 and Master students whom we supervised this year. The four 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 degree in computer and electronic engineering from NUI Galway during 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 task — be it for machine learning, recommender systems, or 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. Jorge Cardoso is Chief Architect for Planet-scale AIOps at Huawei’s 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 is difficult to choose a best algorithm for a scenario 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 26 and 27, 2019 in Potsdam, Germany and is organized by Holger Read more…
I am delighted to announce that I was invited to join the editorial board of the International Journal on Digital Libraries (IJDL). I will focus on submissions relating to information retrieval, recommender systems and machine learning in the field of digital libraries. The International Journal on Digital Libraries is a Read more…
Update 2019-08-14 DAAD published a new website for the IFI programme: www.daad.de/ifi I was invited to join the scientific advisory board for the new IFI programme of the German Academic Exchange Service (Deutscher Akademischer Austauschdienst – DAAD). The IFI programme (German: “Internationale Forschungsaufenthalte für Informatiker_Innen”) is the successor of the Read more…
Our following paper has been accepted at MTSummit 2019 and will be presented at the conference in August. Abstract Memory-augmented neural networks (MANNs) have been shown to outperform other recurrent neural network architectures on a series of artificial sequence learning tasks, yet they have had limited application to real-world tasks. Read more…
Google integrated our implementation of a Neural Turing Machine (NTM) into its official TensorFlow release 1.14.0. The implementation is based on the work of our student Mark Collier. The work was previously published at the 27th International Conference on Artificial Neural Networks Conference ICANN and received the best-paper award. Neural Read more…
Please note, this is a continuous program until 2022, with student intakes in September every year (and potentially in March). Hence, please feel free to apply at any time, or if the application page is currently closed, wait for a few weeks until applications are open again. If you have Read more…
Victor will be with us from the 1st of May to the end of July 2019. He’s a French Master’s student from the engineering school Polytech Clermont-Ferrand, which is attached to the university Clermont Auvergne. Victor studies Mathematics and Computer Science in the department of mathematics and modelling. Victor chooses Read more…
Update: Read the full manuscript, which was presented at the AutoML workshop, here. Introduction There is an ever-growing number of tools for automating the machine learning pipeline, both commercial and open source. Auto-sklearn [11, 15], Auto Weka [14], ML-Plan [18], and H2O.ai are only some examples. In addition, the auto* Read more…
The school of computer science and statistics appointed me as the Strand Lead for the Intelligent Systems Programme in the MSc in Computer Science course at Trinity College Dublin. I am looking forward to continuing to develop the programme and ensuring the highest quality in teaching, liaising with student representatives, Read more…
The ELITE-S initiative organizes a breakfast seminar to bring together potential applicants and supervisors. Every postdoctoral researcher, who is interested in standardization in the field of recommender systems, machine learning, and artificial intelligence, is sincerely invited to join the breakfast. During the seminar, you will learn more about the 2-year Read more…
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…