Mattia Fumagalli

Postdoctoral Researcher - #AI #KnowledgeRepresentation #DataScience #RelationalLearning

[Mattia Fumagalli @mattia81]

Thanks for sharing!

[Mattia Fumagalli @mattia81]

Our paper accepted at #ER2022 is out 🙂
I am particularly fond of this work, and I would see it as a step toward supporting analysis and pragmatic explanation of conceptual modeling :) #ai #patternmining #conceptualmodeling
https://t.co/RzVoPqDOge @ERconf

[Dominik Bork @BorkDominik]

Giovanni Sartor delivering a keynote on his ERC advanced grant on #law and #algorithms ⁦@edocconference⁩ #EDOC2022

[Dominik Bork @BorkDominik]

Final Keynote ⁦@edocconference⁩!
⁦@JordiCabot⁩ elaborating on example cases on smart modeling for smart software. Excellent food for thought for the weekend #EDOC2022

[Mattia Fumagalli @mattia81]

Here the final version of our #dke journal paper. The article will be freely accessible for the next 50 days. #ai #ilp #conceptualmodeling #constraintlearning #visualsimulation
https://t.co/LKRCTy3Ui4

[Mattia Fumagalli @mattia81]

It took almost two years, but finally, we made it!

The contribution is about leveraging #ModelValidation and #InductiveLogicProgramming for #ConstraintAcquisition.

The paper will be published soon in the #Data and #KnowledgeEngineering Journal (DKE).

https://t.co/fAl6xC3yvq

[Mattia Fumagalli @mattia81]

Prevention is a key and pervasive phenomenon that requires a proper understanding in many disciplines, from information science, through healthcare to economy and geopolitics.
Check this out.

#appliedontology #conceptualmodeling #prevention #risk

https://t.co/gZL9XD9Djc

[MIT CSAIL @MIT_CSAIL]

The 12 types of ML papers.

(created by @natashajaques @maxhkw)

#MachineLearning #ML #DataScience

[Mattia Fumagalli @mattia81]

@MIT_CSAIL @natashajaques @maxhkw 🤣👍👍

[Anaconda @anacondainc]

📢 Did you hear the news from PyCon!? We are thrilled to introduce PyScript, a framework that allows users to create rich Python applications IN THE BROWSER using a mix of Python with standard HTML! Head to https://t.co/n4OoeBD46z for more information. 🧠 💥

[nature @Nature]

This AI historian can uncover the clues hidden in ancient inscriptions

[Frank van Harmelen @FrankVanHarmele]

This should be good. A new conference on what is now a key direction in AI: Hybrid Human-Artificial Intelligence #HHAI2022, 13-17 June in Amsterdam, paper submission deadline **25 Feb**, all info at https://t.co/tEbYFbF8sy @hhai_conference Consider submitting!

[ER Conference Series @ERconf]

You have 3 months and 4 days left to prepare your abstract for #ERconf22 and excite the program committee with your research on #ConceptualModeling. Find more details in the Call for papers: https://t.co/qxklHrGDyd

[Mattia Fumagalli @mattia81]

"I train with the hope of improving things. That is one of my most important virtues and I think of anyone who wants to progress. I force myself every day to do things well, especially those that I don’t feel like doing."

#21slams @RafaelNadal
@AustralianOpen #RafaelNadal

[Philip Vollet @philipvollet]

The Language Interpretability Tool (LIT) is a visual, interactive model-understanding tool for ML models, focusing on NLP use-cases. It can be run as a standalone server or inside notebook environments such as Colab or Jupyter.

https://t.co/uI004E9nrj

[Arvid Kahl @arvidkahl]

Genius. They wrote a script to make a PDF look like it's printed, signed, and then scanned again. Because digital signatures are still not accepted in many places while a signed and scanned printout is.

This is hacking bureaucracy. I love it!

https://t.co/QcpI09MRz2

[Towards Data Science @TDataScience]

Learn how to train an object-detection model without any bounding-box labels—and make it explainable at the same time—with @nRocketScience's thoughtful walkthrough. https://t.co/Gi8i9RfElX

[Stefano Teso ✈️ AAAI26 @looselycorrect]

Great piece on the importance (necessity?) of symbols in #AI - for human-machine communication, understanding, control. 👇

💙 the ongoing convergence of neuro-symbolic & causal with interaction & alignment! And I'd add concept-level explanations to the mix too.

[Mattia Fumagalli @mattia81]

https://t.co/BA97h0vJT5

[Mark Oakley @DeanSouthwark]

Travelling in a Comfortable Car by Bertolt Brecht #APoemADay