Christos Diou

AI and Machine learning researcher

[Naftali Kaminski @KaminskiMed]

Great news‼️
Our AIRIS consortium is selected for funding by the EU Horizon AI program.
22 Europe & North America institutions will collaborate to build mechanism-informed generative AI frameworks to accelerate biomedical research.
👏🏼 @cdiou & #AIRIS team 👏🏼
#CollaborationBliss

[Vasilis Gkolemis @givasile1]

🌟 Excited to announce the release of Effector 🌟

🚀a Python package for global and regional explanations on tabular data.

🚀 if you find it useful, please star the repo https://t.co/WVf5Nzq2JI

@cdiou , @Theodore_D, @entoutsi, @GiuCasalicchio , @JuliaHerbinger , @BBischl

[Vasilis Gkolemis @givasile1]

Time is coming for the @ECMLPKDD Workshop "Uncertainty meets Explainability", co-organized with @cdiou!

Check the final program here https://t.co/L9H1j0xzqu

Looking forward to meeting you all in Turin! 😎

[Christos Diou @cdiou]

Check out our recent IEEE TETCI paper with Aristotelis Ballas, where we present BioDG, a benchmark for Domain Generalization in 12-lead ECG and 64-channel EEG signals, as well as a set of baseline algorithms.

Paper: https://t.co/SD2jN8moXk
Code: https://t.co/VAmtGwCKyD

[Christos Diou @cdiou]

Today we presented a short tutorial on Domain Generalization for Machine Learning at the IEEE CISOSE 2023 conference, along with Aristotelis Ballas.

If you are interested, you can find the slides at https://t.co/LZ5ZCw7CPQ

[Vasilis Gkolemis @givasile1]

The **call for paper** is out for the Workshop on Uncertainty and Explainability @ ECML-PKDD 2023.

https://t.co/MTlUS3VhBt

We are co-organizing along with @cdiou @BengsViktor Willem Waegeman and Eyke Hullermeier.

Spread the word and consider submitting!

[arXiv Daily @Arxiv_Daily]

DALE: Differential Accumulated Local Effects for efficient and accurate global explanations
https://t.co/5LgUb7VCrs
by Vasilis Gkolemis et al. including @cdiou
#UnbiasedEstimator #Estimator

[Christos Diou @cdiou]

Very happy for our latest work with @givasile1 and @Theodore_D . DALE enables fast and accurate global explanations for differentiable models. @givasile1 great start with your PhD, congratulations!

[Vasilis Gkolemis @givasile1]

Differential ALE (DALE): Efficient and accurate ALE approximation, for differentiable models.
https://t.co/xytJ7MSbcv

Accepted in Asian Conference ML 2022 @ACMLConf
Coauthors @cdiou @Theodore_D
Special thanks @entoutsi

[Christos Diou @cdiou]

@fopsom @INAB_Institute @scfragkoul @npechl @CERTHellas Congratulations Foti!!! Well deserved, keep up the great work!

[Metabolic Imaging @ImagingFat]

Huge thanks to @SSIBsociety extremely honoured to be invited to present our research in their Big Data session today. Thoroughly enjoyed the fantastic presentations from @Bankslab @cdiou @Witte1Veronica and subsequent discussion.

[BigO Project @BigO_Project]

New Methods for Objective Measurements of Eating Behavior in Free-Living Conditions - @cdiou will present @BigO_Project at @SSIBsociety #SSIB2021 as part of the symposium "Go Big [Data] or Go Home" on Thursday July 15th.

#childhoodobesity #citizenscience #bigdata #publichealth

[Christos Diou @cdiou]

@mo_mars @WUR @ADelopoulos Wow, great news, congratulations @inathens !!!

[BigO Project @BigO_Project]

Lots of interesting presenations and discussions during the BigO Clsoing Webinar today. Thank you all for joining!

#ChildhoodObesity #CitizenScience #BigData

[BigO Project @BigO_Project]

BigO on #FoodSHIFT2030: How big data can be used in the prevention of childhood obesity. Watch the presentation of Katerina Riviou and Ioannis Ioakeimidis now via the link below!

https://t.co/F9gR5x0xSC

#ChildhoodObesity #BigData #CitizenScience

[Monica Mars @mo_mars]

New paper on food texture recognition using an in-ear microphone. A result from the @projectSPLENDID, with co-authors @VasileiosPapapa @cdiou @BoerJanet @ADelopoulos

My research is available on @ResearchGate: https://t.co/YnCEmneYGP

[BigO Project @BigO_Project]

Today and tomorrow we have the BigO consortium meeting. This morning we got an overview of the data collection at the school sites, this afternoon we will discuss the data collection at the clincis.

[Michelle Fay Cortez @FayCortez]

BREAKING: Abbott launches $5 coronavirus test that yields results in 15 minutes, without needing any laboratory equipment. This will significantly speed testing efforts. 50 million tests a months, headed our way.

[Christos Diou @cdiou]

Many thanks to @mo_mars and the @WUR team for hosting and to all attendees for joining!

[Monica Mars @mo_mars]

Group picture during the @BigO_Project webinar of this afternoon. Thank you all for joining!!
Ãround 84 persons joined (parts of) the webinar.

@WUR @WhatscookingHN

#CitizenScience #childhoodobesity

[BigO Project @BigO_Project]

BigO Webinar | On Wednesday June 3th 14:00 (CET) the BigO consortium will host a webinar in which the project, platform, and first results will be presented. You can register now: https://t.co/HhDgvhpr4F
Take a look at our website for the program: https://t.co/p2EvouFKvB

[Christos Diou @cdiou]

We're happy to have three papers to appear in this year's #EMBC20 on how big data can help address childhood obesity through measurements of behavior and the environment. Pre-prints:
https://t.co/jy19EMxLoe
https://t.co/GIQynLejiy
https://t.co/r46pO4d0VI