Department of Computer Science
Compete against our basketball bookie using math and machine learning in Qminers Quant Hackathon 2024. Winners get to split the prize of CZK 100 000!
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Event
Rostislav Horčík and Gustav Šír from Artificial Intelligence Center and Intelligent Data Analysis lab received a best paper runner-up (2nd place) at the prestigious International Conference on Automated Planning and Scheduling (ICAPS) conference for their paper "Expressiveness of Graph Neural Networks in Planning Domains."
Awards
Gustav Šír summarized the risks of AI in his recent blog post on Medium. Dig into the insightful long-read that approaches this hot topic from the perspective of an academic AI researcher.
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News
How is ChatGPT changing the landscape of NLP research? And what are the implications for businesses looking to leverage these technologies? Join us for an invited talk by Jan Pichl, CTO at PromethistAI which takes place on April 13, 2023.
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Event
A new book is out! Deep Learning with Relational Logic Representations by Gustav Šír was published in the IOS Press.
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News
IDA group co-organized the Qminers Quant Hackathon 2022 together with the tech company Qminers. Šimon Mandlík, Ph.D. student in our department, won the main prize.
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News
Postdoctoral researcher Christos Pelekis from NTU Athens will give a talk on September 1, 2022. Come learn about algorithms for the network coloring game in this IDA seminar!
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Event
The dissertation defense of Gustav Šír will take place on September 22, 2021 at 13:00. Registration to watch online is required.
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Ida
Immunologist Karel Drbal from IDA research group was interviewed by Aktuálně.cz about the Covid-19 vaccination, its efficiency and strategy for distribution.
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Media
We are organizing Qminers Quant Hackathon that brings algorithmic trading into the field of sports betting. Register until October 31, beat a virtual bookmaker with your investment strategy and get financial awards.
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Event
Karel Drbal, a prominent immunologist working in our IDA research group, presented his views on the pandemic on ČT24 (national television). He was interviewed together with other academics by excellent Daniel Stach in his show Zěme v nouzi (Country in need).
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Media
Deník N interviewed Karel Drbal from the Intelligent Data Analysis research group about the current Covid-19 pandemic covering his thoughts on immunity being formed under the face masks.
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Media
Karel Drbal from IDA research group advised the readers of Echo.24 how to fight the coronavirus pandemic: It is essential to inform, test as much as possible and isolate only the ones infected and the risk groups, so that we can treat as few severe patients with COVID-19 as possible.
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Media
Karel Drbal from IDA research group talked on the renowned DVTV show about the Covid-19 pandemic. Apart from his interest in data science, Karel is also recognized as a leading immunologist expert. Through his scientific background, he offers an interesting and rather unusual insight into the current situation.
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Media
Mortality from coronavirus will eventually be comparable to seasonal flu, says the immunologist and IDA researcher Karel Drbal in his new interview for iHNed.cz.
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Media
How does coronavirus behave compared to other pandemic diseases and what can we do to protect ourselves in the long run? Immunologist and data scientist Karel Drbal who joined our department in 2019 (IDA group) answered in an extensive interview for Echo24.cz.
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Media
We are happy to welcome Prof. Joe Song from New Mexico State University in the Department of Computer Science. He will join Prof. Filip Železný's Intelligent Data Analysis (IDA) Research Group within the Fulbright Program from January 20, 2019. Students will have the chance to meet him in the Bioinformatics course at which he will participate during the Summer Semester 2018/2019. Welcome in Prague, Joe Song!
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News
Long non-coding RNAs in myelodysplastic syndromes: clinical relevance and implication in the pathogenesis
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Ida
A project on combinatorial design of multi-lock systems funded by the Czech Technology Agency
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Ida
miXGENE.ORG - a public tool for integrated analysis of microarray, microRNA and methylation data
Systems biology focuses on complex interaction within biological systems. These complex interactions, hidden both in high-throughput measurements and a vast amount of existing biological knowledge, are difficult to be mined without an aid of automated tools. MiXGENE is a workflow management tool that develops and analyzes accurate, mainly disease predictive, models from the raw omics data.
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Completed Projects
Predicting protein properties with spatial statistical machine learning: Proteins are what we are made of and what controls what happens inside of us. Yet, we know too little about the functions of the thousands of specific proteins that have been discovered. We design algorithms that learn to predict “what the protein does” from “what the protein looks like”.
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Completed Projects
Will it break down once warranty’s over? We ask a similar question in a more complex setting: in the European project SUPREME, we explore how machine learning and data mining techniques can be used to predict failures in an industrial plant
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