Presentations

Prof. Tsamardinos’s tutorial in ECCB18: Automated Machine Learning for Bioinformatics and Computational Biology

Presenters: Ioannis Tsamardinos

Research in Machine Learning has been trying to automate the process dealing with issues such as intelligent selection and combination of algorithms, automated tuning of their hyper-parameters, non-optimistic estimation of performance, feature selection and multiple feature selection, stability of feature selection and many others, in what is called Automatic Machine Learning (AutoML). This tutorial presents an introduction to this area for a bioinformatics-oriented audience. It covers the problems and scope of AutoML, the pitfalls and problems facing the analyst, some basic algorithms, and the tools for AutoML.

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Slides pdf: part 1,part 2,part 3,part 4

Vincenzo Lagani: Link


Darwin Monday Talk Series of University of Crete Man vs. Machine: “who is the master, who is the servant?” May 2018

Presenters: Ioannis Tsamardinos

Prof. Tsamardinos gave an invited talk at Darwin Monday Talk Series of University of Crete entitled
“who is the master, who is the servant?” on May 2018.

DETAILS & VIDEO: here


Prof. Tsamardinos’s invited talk at the 12th Conference of the Hellenic Society for Computational Biology and Bioinformatics

Presenters: Ioannis Tsamardinos

Prof. Tsamardinos gave an invited talk at the 12th Conference of the Hellenic
Society for Computational Biology and Bioinformatics in Athens on the
October 12th 2017.

DETAILS & VIDEO: here


Prof. Tsamardinos’s invited talk at the KDD 2017 conference “Advances in Causal-Based Feature Selection”

Presenters: Ioannis Tsamardinos

Prof. Tsamardinos gave an invited talk at the KDD 2017 conference
“Advances in Causal-Based Feature Selection” in Halifax, Nova Scotia –
Canada on August 2017.

DETAILS & VIDEO: here


Prof. Tsamardinos’s presentation at the 2017 ACM SIGKDD Workshop on Causal Discovery “On Scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing Algorithm”

Presenters: Ioannis Tsamardinos

Prof. Tsamardinos gave presentation at the 2017 ACM SIGKDD Workshop on
Causal Discovery “On Scoring Maximal Ancestral Graphs with the Max-Min
Hill Climbing Algorithm” in Halifax, Nova Scotia – Canada on the August 14th,
2017.

DETAILS & VIDEO: here


Prof. Tsamardinos’s presentation at the 2017 ACM SIGKDD Workshop on Causal Discovery “Constraint-based Causal Discovery with Mixed Data”

Presenters: Ioannis Tsamardinos

Prof. Tsamardinos gave presentation at the 2017 ACM SIGKDD Workshop on
Causal Discovery “Constraint-based Causal Discovery with Mixed Data” in
Halifax, Nova Scotia – Canada on the August 14th, 2017.

DETAILS & VIDEO: here


Prof. Tsamardinos’s invited talk at the 2nd international congress “Evolution and Cancer”

Presenters: Ioannis Tsamardinos

Prof. Tsamardinos gave an invited talk at the 2nd international congress “
Evolution and Cancer” in Thessaloniki on the June 30th 2017.

DETAILS & VIDEO: here


Logic-Based Integrative Causal Discovery with Business Applications

Presenters: Ioannis Tsamardinos

Invited talk at Laboratory of Information, Networking and Communication Sciences (LINCS), February 24, 2016

DETAILS & VIDEO: here


Discovering molecular signatures and causal models from biological data

Presenters: Ioannis Tsamardinos

IMBB Seminar, February 7, 2014

VIDEO: here


Logic-Based Integrative Causal Discovery

Presenters: Ioannis Tsamardinos

On the 26th of August 2016 Prof. Ioannis Tsamardinos introduces the novel field of Logic-based Integrative Causal Discovery in an invited lecture at the North Carolina State University, host Prof. Yannis Viniotis

VIDEO: here


Open BioMedical Data for Integrative Analysis #RECODEconf2015

Presenters: Ioannis Tsamardinos

Conference: Recode Conference / Open Access @ EKT, January 15-16, 2015, National Hellenic Research Foundation, Athens

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VIDEO
PDF


Causal Discovery from Mass Cytometry Data

Presenters: Ioannis Tsamardinos and Sofia Triantafillou

Workshop: “Case Studies of Causal Discovery with Model Search”, October 25-27, 2013, Carnegie Mellon University, Pittsburgh, PA

Slides pdf: pdf_icon cmu_tsamardinos.pdf
Slides ppt: ppt-imag cmu_tsamardinos.ppt

Download only if you have permission to this material

 


Introduction to causal discovery: A Bayesian Networks approach

Presenter: Ioannis Tsamardinos

Conference: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Athens 2011

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VIDEO