On 23 December, Veronika Plotnikova defended her PhD thesis on “FIN-DM: A Data Mining Process for the Financial Services”, which investigated standard data mining frameworks, their usage across different industries and associated gaps. Based on the results, the new process model FIN-DM was developed to support practitioners to conduct data mining in the financial services. […]

Tartu Ülikooli arvutiteaduse instituudi toetusel toimus 8.-19. novembril informaatikaviktoriin Kobras, millel osales peaaegu 4000 Eesti õpilast rohkem kui 110 koolist. Parimaid ootab uuel aastal ees finaalvõistlus. Viktoriin toimus kolmes vanuserühmas: benjaminid (6.–8. klass), juuniorid (9.–10. klass) ja seeniorid (11.–12. klass). Ühe koolitunni (45 minutit) jooksul vastasid õpilased 15 küsimusele, mille teemaderingi mahuvad küsimused arvutite riist- […]

We are currently in the process of significant changes in the communications paradigms. Among others, one of the changes is moving to cloud-based services instead of using local applications (Office365, Youtube, Spotify, etc.). We can argue about the motivation of this trend, but this allows us to provide the customers with the most up-to-date solutions […]

Researchers from the University of Tartu’s Institute of Computer Science are taking part in the EU Horizon project SPATIAL (Security and Privacy Accountable Technology Innovations, Algorithms and Machine Learning), which aims to develop resilient accountable metrics, privacy-preserving methods, verification tools and system solutions that will serve as critical building blocks for trustworthy AI in ICT […]

The article was translated and published in English by the University of Tartu. It was initially published in Estonian in Eesti Ekspress by Greete Lehepuu. The cover of the September issue of Communications of ACM, the most prestigious journal in computer science, featured an article led by University of Tartu researchers. The article proposes steps to tackle one of […]

The article was initially published in Ekspress by Greete Lehepuu. The app works like Google Maps: given genetic coordinates associated with a disease it finds which gene is likely to cause the disease and in which tissue. Imagine that the only way to find your way in an unknown city is to buy the map […]

By Dmytro Fishman, Junior Lecturer of Data Science The human organism is a profoundly complex mechanism, consisting of trillions of cells, each powered by about 42 million protein molecules that interact with one another in a gazillion of ways. Recently, scientists developed technologies (i.e. high-throughput screening) that enable us to listen and record data from […]

On June 28, Dmytro Fishman defended his PhD thesis on “Developing a data analysis pipeline for automated protein profiling in immunology”. In this work, Dmytro and his collaborators explored the dynamics of autoimmune diseases as well as developed a software tool that simplifies similar research in the future. Proteins are essential elements of all living […]

On June 21, Liis Kolberg defended her PhD thesis on “Developing and applying bioinformatics tools for gene expression data interpretation” which provides convenient tools that simplify the work of biologists and saves their time.  Modern technologies enable researchers to simultaneously measure the expression levels of all genes under different conditions and in different groups of […]

While human average life expectancy has surged in the past century, a growing concern is a rising disease burden in the later stages of life. It is well known that lifestyle choices can help to prevent or delay disease onset, but once the disease has manifested, medical treatment (such as in the form of drugs) […]

We are glad to announce that the Association for Computing Machinery (ACM) has recognized Prof. Jaak Vilo as their Senior Member being the first researcher from Estonia who has received this prestigious title. ACM is the world’s largest educational and scientific computing society, which every year awards its members, who for years have demonstrated performance […]

Our faculty member, Stefania Tomasiello, lecturer of Artificial Intelligence, recently joined IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) as associate editor. IEEE TNNLS publishes articles that deal with the theory, design, and applications of neural networks and related learning systems. It is a premier journal in the field of Neural Networks and […]

By Dima Fishman Machine learning is a study of computer algorithms capable of automatically learning ways to solve difficult problems from the existing data without being explicitly programmed. Over time machine learning methods have substantially contributed to human progress across many areas. Machine learning has been taught for many years in the Institute of Computer […]

Oma ligi 80-aastase ajaloo juures on elektronarvutid fundamentaalselt muutnud info kogumist, töötlust ja kommunikatsiooni. Kiirete numbriliste arvutuste võimaldajast (computer oli ametinimetus käsitsi arvutajatele, peamiselt tegelesid sellega meestest palju hoolikamad naised) sai kuuekümnendatel ettevõtete andmete, palgatšekkide ja reserveeringute haldaja. Kui 1980ndatel jõudsid personaalarvutid ja tabelarvutus massidesse, kadusid masinakirjutajad. Edasi avas ülemaailmne võrk Internet ligipääsu kaugel olevale […]