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Ο καθηγητής Ι. Τσαμαρδίνος βραβεύτηκε με το European Research…
Ο καθηγητής Ι. Τσαμαρδίνος βραβεύτηκε με το European Research Council, Proof of Concept για το 2021.
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Βραβείο καλύτερης δημοσίευσης από το 37ο συνέδριο BDA 2021…
Βραβείο καλύτερης δημοσίευσης από το 37ο συνέδριο BDA 2021 στο National French conference on Data Management, για τη δημοσίευση: “On predictive Explanation of Data Anomalies”. Οι συγγραφείς της δημοσίευσης ήταν ο Μυρτάκης Νίκο, ο Τσαμαρδίνος Ιωάννης και ο Χριστοφίδης Βασίλης.
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ASCO Annual Meeting
-Prof. Tsamardinos will attend the ASCO Annual Meeting, taking place May 31 – June 4, 2019, at the McCormick Place Convention Center in Chicago, Illinois, where his recent scientific work produced in collaboration with Oluf D. Roe from NTNU will be presented.
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Cancer Development and Complexity
Prof. Tsamardinos will attend The Workshop and School on “Cancer Development and Complexity” at Lake Como, May 27-31, 2019and will give an Invited Research talk titled : “Automated Machine Learning for Biomedicine”
http://cdac2019.lakecomoschool.org/
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Automated Machine Learning for Bioinformatics and Computational Biology
Prof. Tsamardinos and Dr. Lagani will give a tutorial on: “Automated Machine Learning for Bioinformatics and Computational Biology” during the 15th International Conference on Artificial Intelligence Applications and Innovations, which will take place in Heraklion, @ Knossos Royal Beach Resort, 24-26 May 2019 http://www.aiai2019.eu/
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Open positions available – CALLS FOR EXPRESSION OF INTEREST
Several contractual positions are open for our ERC Consolidator Grant that kicked off January 1st, 2015 and will run for the next 3 years. The grant is entitled “CAUSALPATH: Next Generation Causal Analysis: Inspired by the Induction of Biological Pathways from Cytometry Data“. ERC grants are prestigious European research programs that support scientific excellence and provide research autonomy and flexibility. The grant’s goals are: (a) basic research on causal discovery, causal analysis, and causal modeling, (b) application on de novo inducing signal pathways from mass cytometry data, and (c) design of automated tools for causal discovery and signal pathways. CAUSALPATH is coordinated by our group in the Computer Science Department of University of Crete in collaboration with the Computational Medicine Unit in Karolinska Insitutet. Our group is highly multi-disciplinary and multi-national focusing on data analysis and machine learning with an emphasis on biomedical data.
Further information can be found in the attached calls for expression of interest.
- Post-Doc position –
- PhD Candidate position –
- Web Application Development position –
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Συμμετοχή του κ. Τσαμαρδίνου στο συνέδριο Κλινικής και Μεταφραστικής…
Στο πλαίσιο του συνεδρίου Κλινικής και Μεταφραστικής Ογκολογίας που πραγματοποιείται στο Ξενοδοχείο “Aquila Atlantis” στο Ηράκλειο το διάστημα 17-20 Νοεμβρίου 2016, ο κ. Ιωάννης Τσαμαρδίνος θα πραγματοποιήσει στις 19/11 μεταξύ 11:30-13:00 ομιλία με θέμα “Αυτόματα εύρεση βιοδεικτών και βιοϋπογραφών σε βιολογικά δεδομένα”. Η διάλεξη θα ενταχθεί στο στρογγυλό τραπέζι: ” Βιοπληροφορική και Ογκολογία”.
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‘MXM’ package (v.0.1)
The ’MXM’ (Mens eX Machina, meaning ’Mind from the Machine’ in Latin) package is an R package that implements feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets.
The ’MXM’ package provides source code for the SES algorithm and for some appropriate statistical conditional independence tests (testIndFisher, testIndLogistic, gSquare and censIndLR are included).
‘MXM’-package (v. 0.1) is released under CRAN Repository.