?***************************** DSL's latest research outcomes on mining social norms from open source communities have been presented at the 24th European Conference on Information Systems and 13th International Conference on Mining Software Repositories. The project is led by PhD student Daniel Avery, Dr. Hoa Dam and Prof. Aditya Ghose, and involves collaboration with University of Otago's researchers.
Prof. Aditya Ghose has been invited to deliver a 2-week course on "Computational Service Science" as part of the Prime Minister of India's key educational project, GIAN, under which under which foreign scholars teach at India's leading technology institutes to build knowledge and transform higher education across the country.
DSL authors Renuka Sindhgatta (also of IBM Research India), Prof. Aditya Ghose and Dr. Hoa Dam will report on a novel framework that uses data analytics for optimal business process provisioning at the 2016 International Conference on Advanced Information Systems Engineering (CAISE), the premier conference in this area (acceptance rate: 16.5%)
Prof. Aditya Ghose, Prof. Andrew Miller and Dr. David Stirling were among the authors of a submission (with Prof. David Thwaites of the University of Sydney as lead author) entitled "Mining routine radiation oncology clinical datasets within a distributed rapid learning framework: the potential for supporting optimised clinical decisions" that won the Best Abstract Award at the Cancer Institute of NSW Innovations in Cancer Treatment and Care Conference 2014.
Prof. John Mylopoulos, eminent software engineering and conceptual modelling researcher, is currently visiting the Decision Systems Lab for a period of 3 weeks. His visit was preceded by a visit by Prof. Akhil Kumar from Penn State University in early January.
The Decision Systems Lab/Centre for Oncology Informatics has initiated a new collaboration with the Liverpool Hospital on radiation oncology decision support, funded by a $114,000 research contract.
Prof. Aditya Ghose presented a keynote at a plenary session of Int'l Conf. on Service-Oriented Computing Workshops on Nov. 16th, 2015 in Goa, India.
Prof. Aditya Ghose has been invited to deliver a keynote at a joint plenary session of the Service-Oriented Enterprise Architecture and Evolutionary Business Process Workshops at the EDOC-2015 conference (Adelaide, September, 2015). His keynote title: "The post-theoretic enterprise: Data-driven evolution of enterprise functionality".
SPEAKER: Dr Truyen Tran Deakin University
DATE: Wednesday, July 13, 2016
TIME: 10am onwards
TITLE: Deep learning in non-cognitive domains
Abstract: The current wave of deep learning has broken many records long held by traditional machine learning. The main power of deep learning is to deliver end-to-end systems that learn from raw data, extract multiple feature abstractions, and predict outcomes with little human intervention. All of the successes thus far are in cognitive domains such as vision, speech and languages, where humans do well with little effort. In this talk, I present our recent deep learning work in other domains that require specialized training for humans to perform reasonably, including healthcare, software engineering, anomaly detection, multi-relational databases, and mixed-type analysis.
Bio: Truyen Tran is a lecturer at Deakin University. He works in broad range of data analytics fields with current focus in deep learning, healthcare and software engineering. He received multiple paper awards and prizes including UAI 2009, CRESP 2014, Kaggle 2014 (where he is Kaggle Master), PAKDD 2015, and ACM SIGSOFT 2015. He obtained a Bachelor of Science from University of Melbourne and a PhD in Computer Science from Curtin University in 2001 and 2008, respectively.
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