Content Merge from Crowd-Sourced Spatial Information Dr. Bianca Schoen-Phelan Application Deadline: 11 January 2016 Application Documents: Academic CV, Cover letter, any other documents that the applicant considers relevant Start Date: February 2016 Application Method: Email to email@example.com Project Description The recent decade has seen an unprecedented surge in available geo-referenced data. Social media […]
Dr. Luca Longo, Dr. Pierpaolo Dondio and Dr. John Kelleher from the school of Computing, at Dublin Institute of Technology are attending and actively participating in the COST action PEERE on new frontiers on peer-review in Athens, Greece.
On the 25th of September 2015 Dr. John Kelleher, lecturer in the DIT School of Computing and manager of the AIRC, launched a new book on machine learning. Dr. Kelleher co-authored the book with former colleague Dr. Brian McNamee of UCD and Aoife D’Arcy of the Analytics Store. The book is entitled: Fundamentals of Machine Learning […]
On Saturday the 17th of October 2015 Dr. Colm Sloan was awarded his PhD from DIT at the Autumn Graudations. Dr. Sloan was awarded his PhD for his thesis: Drive-based Utility-Maximizing Computer Game Non-Player Characters Dr Sloan was supervised by Dr. Brian Mac Namee and Dr. John D. Kelleher. We wish Colm every success in […]
On Wednesday 17th October Alexey Tarasov successfully defended his PhD thesis “Dynamic Estimation of Rater Reliability Using Multi-Armed Bandits”. Well done Dr. Tarasov!
Congratulations to Drs Kenneth Kennedy and Mark Dunne who accepted their PhDs at the DIT graduation on Saturday 19th October. Well done doctors!
Dr Patrick Linstrom successfully defended his thesis, “Handling Concept Drift in the Context of Expensive Labels”, at a viva on 14th October, 2013. Well done Dr Paddy!
The AIRC currently has a fully funded PhD position in machine learning. Details are given below and candidates interested in making an application should visit: http://dit.ie/researchandenterprise/graduateresearchschool/fundedphdprogrammes/science/#d.en.67013 Project Description: Project Description: Inductive-machine-learning-based automated fraud detection systems are best treated as a regression problem, and rely on large collections of historical data labelled with known outcomes for […]
Congratulations to Dr. Mark Dunne who completed his viva this morning in impressive style. Mark’s thesis title is “The Turning, Stretching and Boxing Technique: A Direction Worth Looking Towards”. Well done Mark.
Congratulations to Dr. Kenneth Kennedy how successfully defended his PhD thesis, “Credit Scoring Using Machine Learning” on the 2nd of May 2013. Well done Ken!