Research output per year
Research output per year
Organization profile
Profile Information
This new Centre operates at the intersection of two ASRIs: Artificial Intelligence and Mental Health. Its scope is to apply AI methods - machine learning, reasoning, knowledge graphs - to various mental health diseases. The initial set of diseases include ADHD, autism and suicide prevention, but is expected to be expanded in the course of the Centre’s operation.
Goals
- To carry out internationally outstanding research in AI for mental health.
- To create a team of research active staff with a common interest in AI for mental health.
- To provide support for existing staff and to build capacity in areas of strategic research importance.
- To produce high quality publications.
- To improve the standard of publications produced by staff and to broaden the scope of publication options.
- To secure high profile research grants.
- To increase international links with world class universities.
- To attract high calibre research students.
- To identify the needs of end users and to develop innovative, multi-disciplinary solutions to those needs.
- To produce research that impacts on policy and practice.
- To disseminate research beyond academia.
Fingerprint
Dive into the research topics where Centre of Artificial Intelligence for Mental Health is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
George Bargiannis
- Department of Computer Science - Subject Area Leader (CIS)
- School of Computing and Engineering
- Centre for Planning, Autonomy and Representation of Knowledge - Member
- Centre of Artificial Intelligence for Mental Health - Member
Person: Academic
-
Sotirios Batsakis
- Department of Computer Science - Senior Research Fellow
- School of Computing and Engineering
- Centre for Planning, Autonomy and Representation of Knowledge - Member
- Centre of Artificial Intelligence for Mental Health - Member
Person: Academic
-
A Decision Tree-initialised Neuro-fuzzy Approach for Clinical Decision Support
Chen, T., Shang, C., Su, P., Keravnou-Papailiou, E., Zhao, Y., Antoniou, G. & Shen, Q., 1 Jan 2021, In: Artificial Intelligence in Medicine. 111, 13 p., 101986.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles
Vallati, M., Scala, E. & Chrpa, L., 15 Jun 2021, (Accepted/In press) Proceedings of 24th IEEE International Conference on Intelligent Transportation - ITSC2021. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
An Efficient Hybrid Planning Framework for In-Station Train Dispatching
Cardellini, M., Maratea, M., Vallati, M., Boleto, G. & Oneto, L., 16 Jun 2021, Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I. Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V. V., Dongarra, J. J. & Sloot, P. M. A. (eds.). Cham: Springer Nature Switzerland AG, Vol. LNCS/LNTCS 12742. p. 168-182 15 p. (Lecture Notes in Computer Science; vol. LNCS/LNTCS 12742).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Development and Approval Group (DAG) Scrutiny Event
Tianhua Chen (Participant)
1 Jul 2021Activity: Participating in or organising an event types › Participating in a conference, workshop, ...
-
Artificial Intelligence in Supply Chain Research: The Case for Explainability
George Bargiannis (Speaker)
6 May 2021Activity: Talk or presentation types › Invited talk
File
Press / Media
-
A New Approach for Transformation Based Fuzzy Rule Interpolation
1/05/21
1 Media contribution
Press/Media: Research
-