Roberto Interdonato (@interdonatos) 's Twitter Profile
Roberto Interdonato

@interdonatos

If you're here for my job: researcher [remote sensing, network analysis and mining]. Also: music and comics critic, amateur chef and polemic, former-rock-dj.

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linkhttps://sites.google.com/view/interdonato/ calendar_today07-08-2009 14:27:17

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Roberto Interdonato (@interdonatos) 's Twitter Profile Photo

New article out on Applied NetSci (Springer Nature) ! Joint work with Dino Ienco, Liliana Martirano and Andrea Tagarelli DyHANE: dynamic heterogeneous attributed network embedding through experience node replay appliednetsci.springeropen.com/articles/10.10…

Roberto Interdonato (@interdonatos) 's Twitter Profile Photo

New article just come out on World Development Perspectives (Elsevier) ! "Mining resources, the inconvenient truth of the “ecological” transition" Check it out! Bourgoin Jeremy Matteo Zignani - RD Cirad Università degli Studi di Milano Land Matrix sciencedirect.com/science/articl…

Cirad (@cirad) 's Twitter Profile Photo

🔋Panneaux solaires, éoliennes, batteries électriques… Les efforts pour transformer le secteur de l’énergie se multiplient. Mais cette transition, gourmande en minerais, a un prix caché, d'ordre écologique mais aussi social ! A lire 👉cirad.fr/les-actualites… Land Coalition

Luca Maria Aiello - @lajello@datasci.social (@lajello) 's Twitter Profile Photo

Fabiana Zollo opening keynote at ASONAM Conference on how fact-checking is largely ineffective in countering misinformation, because debunking can’t reach the “tall towers” of polarization. #asonam24

Fabiana Zollo opening keynote at <a href="/asonamcon/">ASONAM Conference</a> on how fact-checking is largely ineffective in countering misinformation, because debunking can’t reach the “tall towers” of polarization. #asonam24
Luca Maria Aiello - @lajello@datasci.social (@lajello) 's Twitter Profile Photo

Non-human errors are the most insidious in AI as it’s hard for us to even imagine them. Ricardo Baeza-Yates on the tangle of biases in data, systems, and human behaviour, suggesting that it would be best if AI systems said “I don’t know” sometimes. Great keynote at ASONAM Conference

Non-human errors are the most insidious in AI as it’s hard for us to even imagine them. <a href="/PolarBearby/">Ricardo Baeza-Yates</a> on the tangle of biases in data, systems, and human behaviour, suggesting that it would be best if AI systems said “I don’t know” sometimes. Great keynote at <a href="/asonamcon/">ASONAM Conference</a>
Roberto Interdonato (@interdonatos) 's Twitter Profile Photo

It has been an honor to have Ricardo Baeza-Yates as a keynote speaker for ASONAM Conference 2024 at Università della Calabria. His talk about the limitations of data, machine learning and us has raised tons of questions about the future of AI and how we should manage our relation with it! #asonam24

It has been an honor to have <a href="/PolarBearby/">Ricardo Baeza-Yates</a> as a keynote speaker for <a href="/asonamcon/">ASONAM Conference</a> 2024 at <a href="/UniCalPortale/">Università della Calabria</a>. His talk about the limitations of data, machine learning and us has raised tons of questions about the future of AI and how we should manage our relation with it! #asonam24
Luigi Arminio (@arminioluigi) 's Twitter Profile Photo

Honored to share that my paper "Which Reveals Ideology Better? Comparing Self-Presentation and Public Rhetoric in the Facebook Climate Debate via Embeddings Analysis" was awarded Best Paper of the PhD Forum track at ASONAM! 🏆 Huge thanks to the organizers and reviewers.#ASONAM24

Honored to share that my paper "Which Reveals Ideology Better? Comparing Self-Presentation and Public Rhetoric in the Facebook Climate Debate via Embeddings Analysis" was awarded Best Paper of the PhD Forum track at ASONAM! 🏆 Huge thanks to the organizers and reviewers.#ASONAM24