This news feed aggregates content from the Research News feeds from the Helsinki Institute for Information Technology HIIT, Aalto University Department of Computer Science, and the University of Helsinki Department of Computer Science.
-
RNA-sequencing data analysis method BitSeq developed by Academy Research Fellow Antti Honkela's research group and University of Manchester researchers has been found to be the most accurate gene transcript expression estimation method in a large international assessment. The method is based on probabilistic modelling which can capture the uncertainty related to the measurements. RNA-sequencing allows measuring the gene expression of humans or other organisms. The method has recently become...
-
RNA-sequencing data analysis method BitSeq developed by Academy Research Fellow Antti Honkela's research group and University of Manchester researchers has been found to be the most accurate gene transcript expression estimation method in a large international assessment. The method is based on probabilistic modelling which can capture the uncertainty related to the measurements. RNA-sequencing allows measuring the gene expression of humans or other organisms. The method has recently become...
-
The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) has opened a call for 20 fully funded doctoral student positions in all areas of ICT within the two participating universities (Aalto University and the University of Helsinki). The deadline for applications is Tuesday 30 September. For further information about the network and application instructions for the call, see the HICT website at http://www.hict.fi/.
-
M.Sc. Seppo Virtanen defended his doctoral dissertation Bayesian latent variable models for learning dependencies between multiple data sources on 25 August 2014. The opponent was Dr. Cédric Archambeau (Amazon, Berlin) and the custodian was Prof. Samuel Kaski. The dissertation is available online at http://urn.fi/URN:ISBN:978-952-60-5785-9
-
The Department of Computer Science launches a new MSc study profile on Data Science. This profile answers the demand for professionals for “big data”, both domestically and internationally. The profile is available immediately as the academic year 2014-15 starts next week. Data scientists help organizations make sense of their data. As data collection grows in speed, size and complexity, new challenges emerge in dealing with this so called "big data". These challenges...
-
The joint work by UH NODES group and Cambridge NetOS group, lead by Prof. Sasu Tarkoma and Prof. Jon Crowcroft, receives the best paper award - “Best of CCR” from ACM SIGCOMM: http://conferences.sigcomm.org/sigcomm/2014/program.php The paper has been featured in...
-
The joint work of HIIT, NODES group (lead by UH Prof. Sasu Tarkoma) and NetOS group (lead by Cambridge Prof. Jon Crowcroft) receives the best paper award - “Best of CCR” from ACM SIGCOMM: http://conferences.sigcomm.org/sigcomm/2014/program.php The paper has been featured in the ...
-
Summer workers at Dept. CS and HIIT present the results of their projects. The presentation slots are 15 minutes each (10-12 minutes for the presentation + 3-5 minutes for questions and switching the presenter). There is also a 15-minute break after each session that can be used for additional discussions, a bathroom break or fetching coffee (up to the session chair to decide). Please prepare your slides as a single PDF file and place it somewhere where you can access it quickly (e.g. WWW or an...
-
M.Sc. Ali Faisal defended his doctoral dissertation Retrieval of Gene Expression Measurements with Probabilistic Models on 15 August 2014. The opponent was Professor Hiroshi Mamitsuka from Kyoto University and the custodian was Professor Samuel Kaski. For more information, see the dissertation release.
-
M.Sc. Sourav Bhattacharya will defend his doctoral thesis Continuous context inference on mobile platforms on Monday 25th of August.2014 at 12 o'clock in the University of Helsinki Main Building, Auditorium XIV (Unioninkatu 34, 3rd floor). His opponent is Professor Antonio Krüger (German Research Center for Artificial Intelligence and Saarland University, Germany) and custos Professor Petri Myllymäki (University of Helsinki). The defense will be held English....