Applied Data Mining

ADM research group at University of Antwerp, headed by prof. David Martens

[Applied Data Mining @ApplDataMining]

Hoe gevaarlijk is Sam Altman, de ceo van OpenAI? https://t.co/2tJqMkjDm3

[De Morgen @demorgen]

Alle macht in AI zit buiten Europa. Dit kunnen we eraan doen https://t.co/B5ofriRWTt

[Anneleen Rummens @AnneleenRummens]

Book tip: Data Science Ethics by David Martens

A very nice read if you want to learn more about possible ethical problems we can encounter in data science and also the techniques and concepts we can use to counter them, like explainable AI.

[UAntwerpen @UAntwerpen]

Artificiële intelligentie beslist nu al of je een lening kan krijgen bij de bank. Het oordeel van de computer zou compleet objectief zijn. Of niet? Prof. David Martens #UAntwerpen legt uit. @UAntwerpenFBE

https://t.co/tdMPuQuu5F

[Applied Data Mining @ApplDataMining]

🚀Launching 𝐀𝐂𝐑𝐀𝐈: Antwerp's hub for Responsible AI! 📅28th Sept. Highlights: 🕔Intro & TRAIL collab 🕠ChatGPT session w/ Prof. Daelemans 🕕Keynote by Mr. Renard @ AXA 🕡Meet the ACRAI team 🕖Reception 📍Antwerp or online. RSVP👉 https://t.co/G71YA5XmUu🚀 #ResponsibleAI

[DataMiningApps @DataMiningApps]

Data Science Ethics written by my former PhD, prof. David Martens, provides a comprehensive coverage of Ethical AI.
I especially appreciate the explanation of the relevant technical methods (such as k-anonymity, differential priva…https://t.co/hMzKif4Vfh https://t.co/UwW99CMJ0d

[Sandra Wachter [email protected] @SandraWachter5]

there is still time to apply!

[Sandra Wachter [email protected] @SandraWachter5]

Just found this in my mail, super excited! thank you, @ApplDataMining ! fantastic book, everything you need to know about Data Science Ethics

[I Programmer @Iprogrammerinfo]

Data Science Ethics by David Martens (@OxUniPress) sel;ected by @bookwatchiprog. This book looks at data science ethics - all about what is right and wrong when conducting data science. https://t.co/lylPeiXaMt

[John Symons @johnfsymons]

David Martens new book on data science ethics just appeared in our mailbox. Looks great and I'm eager to read it

[Applied Data Mining @ApplDataMining]

@FrieseWoudloper Many thanks! I'll push the publisher to go below the current 40 euro for the second edition.

[UAntwerpen FBE @UAntwerpenFBE]

@RamonYanou explains how she makes AI rule(s). | 'Science Figured Out' lures scientists out of their trusted lab or office space and places them in front of a camera for a 3-minute pitch about their research! https://t.co/BdLKdsh0xq
@UAntwerpen @ApplDataMining @FWOVlaanderen

[UAntwerpen FBE @UAntwerpenFBE]

In de eerste aflevering van Profcast - Seizoen 2 vertelt prof. David Martens over data mining en privacy. ▶️ Luister nu via Spotify, Apple Music, SoundCloud en YouTube. https://t.co/V8ekxeKiKL
#profcast @UAntwerpen

[Applied Data Mining @ApplDataMining]

What is Data Science Ethics? A 20-minutes video of the talk at the "Data-Driven Business" conference of Heliview will be available at: https://t.co/kX96CaLdNG

[Applied Data Mining @ApplDataMining]

Open #postdoc position in explainable AI in Antwerp: https://t.co/5skQOqzFS8

[The INFORMS Journal on Data Science @InformsJDataSci]

Join the @InformsJDataSci conversation today! We look forward to engaging with you, your favorite editors, and experts from the field.

[Applied Data Mining @ApplDataMining]

A new top journal! Of particular inerest for data scientists and researchers in business (schools)!

[The INFORMS Journal on Data Science @InformsJDataSci]

Introduction to IJDS https://t.co/vkyf5pKIbr

[Applied Data Mining @ApplDataMining]

@RamonYanou won the 2020 Best Paper award at UA's Doctoral Day, with her work on rule extraction using metafeatures. Big congrats!
https://t.co/d3uhdrWRcZ

[Yanou Ramon @RamonYanou]

I'm very proud to say I won this year's "Best Paper Award" at the Doctoral Day, during which PhD students at the Faculty of Business & Economics present their work. Congrats as well to second-place winner Bryan Galarza Montenegro - another researcher from…https://t.co/QPU6CbjUEv

[Applied Data Mining @ApplDataMining]

Evidence Counterfactuals for explaining predictive models on Big Data - KDnuggets https://t.co/EzmyXtDI0i