Machine Learning Lab is directed by prof @sbarbonjr, hosted at @DiaUnits, @UniTrieste, and hosts PostDocs, PhD students and MS students.
Trieste, Italy
Joined January 2012
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Machine Learning Lab retweeted
The legendary Bruce Lee! Wow! 🔥🔥🔥🔥🔥
Readers added context they thought people might want to know
Bruce Lee performed many real impressive martial arts feats. This video however features a mix of footage and fabricated clips including the ping pong with nunchaku which is from a 2008 advertisement and not real.
snopes.com/fact-check/bru…
Machine Learning Lab retweeted
Explain your spectral models with SMX!
Useful for Raman, NIR, XRF, NMR, FTIR and other spectral data.
Library: github.com/joseviniciusr/SMX
Paper: arxiv.org/html/2605.02684v1
#Spectroscopy #MachineLearning #Chemometrics #ExplainableAI #SMX @MaleLabTs
Machine Learning Lab retweeted
New post in the DPGExplainer Saga Benchmarks: Breast Cancer Wisconsin. TreeSHAP and DPGExplainer/LRC, one helps explain why a single prediction moved, the other shows how the model organizes its global rule structure.
medium.com/p/dd38765903be?po…
#ExplainableAI #TreeSHAP @MaleLabTs
Machine Learning Lab retweeted
📣 Un nuovo appuntamento degli #AITalks sta arrivando!
"Confessioni di un fairnessaro: a cosa serve (davvero) l’equità algoritmica"
"IA responsabile: missione (im)possibile?"
📅 16 marzo 2026
🕒 20:30
📍 Hangar Teatri
#IntelligenzaArtificiale #hangarteatri #AI #Divulgazione
Machine Learning Lab retweeted
RF importance tells us the main ingredients; DPGExplainer (via LRC) tells us the recipe.
In this new post (DPGExplainer Saga — Episode 2: Wine), I compare RF importance with DPG predicate influence (LRC) on the classic Wine dataset. Here: lnkd.in/dxDizDHC @MaleLabTs
Machine Learning Lab retweeted
Feature importance tells you what matters. DPG shows how the model reasons. "Episode 1 (Iris): predicate-level influence (LRC), bottlenecks (BC), communities, overlap diagnostics".
Read: medium.com/p/c8816db2857d
#ExplainableAI #XAI @MaleLabTs
Machine Learning Lab retweeted
Gostaria de compartilhar com vocês o meu novo livro!!! Inteligência Artificial em Ciência Animal: Aplicações em Pesquisa e na Indústria! @MaleLabTs
Machine Learning Lab retweeted
NeurIPS received 21,575 paper submissions this year. Our Agentic Reviewer, released last week, just surpassed this in number of papers submitted and reviewed. It's clear agentic paper reviewing is here to stay and will be impactful!
Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better.
I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was painfully slow. We wanted to see if an agentic workflow can help researchers iterate faster.
When we trained the system on ICLR 2025 reviews and measured Spearman correlation (higher is better) on the test set:
- Correlation between two human reviewers: 0.41
- Correlation between AI and a human reviewer: 0.42
This suggests agentic reviewing is approaching human-level performance.
The agent grounds its feedback by searching arXiv, so it works best in fields like AI where research is freely published there. It’s an experimental tool, but I hope it helps you with your research.
Check it out here: paperreview.ai
Machine Learning Lab retweeted
Call for Papers – 4th World Conference on Explainable Artificial Intelligence (XAI 2026)
Be part of the global conversation shaping the future of transparent and trustworthy AI!
Submission: lnkd.in/dn469BxU
Deadline: February 1, 2026
@MaleLabTs
Machine Learning Lab retweeted
O futuro da Inteligência Artificial é explicável. E você, vai ficar de fora?
youtube.com/watch?v=aO3Qh_6P…
Vem com a gente para a 4th World Conference on Explainable Artificial Intelligence (xAI 2026), no Brasil!!!
@MaleLabTs
Machine Learning Lab retweeted
Working on Interpretable Reinforcement Learning? Submit your work to our Special Issue on Applied Soft Computing!
Submission: Dec 31, 2025
Final Decision: June 1, 2026
Details & submission: sciencedirect.com/special-is…
#reinforcementlearning #interpretability #xai
Machine Learning Lab retweeted
🚀 New preprint!
ARC-NCA shows how Neural Cellular Automata —incl. memory-rich EngramNCA—crack tasks from the ARC-AGI benchmark, hitting GPT-4.5-level accuracy at a fraction of the cost. 🌱🤖
Web: etimush.github.io/ARC_NCA/
Preprint: arxiv.org/abs/2505.08778
#NeuroAI #AGI #CA #ALIFE
Machine Learning Lab retweeted
Our Special Issue on AI in Biomedical Speech & Voice Analysis is out in Computers in Biology and Medicine, Elsevier!
Explore topics like #XAI, voice biomarkers, Parkinson’s, Alzheimer’s & more.
sciencedirect.com/special-is…
#AI #SpeechTech #HealthTech #ML @MaleLabTs
Machine Learning Lab retweeted
The 2025 @EvostarConf in Trieste summarized: well-prepared conference, constructive atmosphere and hospitable hosts. Thanks to both participants and organizers.
Machine Learning Lab retweeted
I'd like to invite everyone attending #IJCNN25 to check out the presentation of #TPOT-Clustering! Matheus Camilo da Silva (@MaleLabTs) will be presenting this new tool, developed as part of his PhD project.
Yes, you can use AutoML for clustering!
Machine Learning Lab retweeted
AI is making food safer—spotting contamination, checking freshness & more. But can we really trust these "black box" models? Our new survey shows how #XAI can open up AI in Food Engineering, making decisions clearer for everyone! arxiv.org/pdf/2504.10527 @MaleLabTs
Machine Learning Lab retweeted
Il #7febbraio Giovanni Vigna, Distinguished Professor all’Università della California, terrà una Lectio Magistralis su #IntelligenzaArtificiale e #Cybersecurity, con un’introduzione del Prof. Alberto Bartoli.
🔎 Info u.garr.it/FOnly
Machine Learning Lab retweeted
Are you working on the intersection between XAI and evolutionary computation? Please consider submitting your work to the 4th ECXAI workshop that will be held at @GeccoConf! Please find more info at ecxai.github.io/ecxai/worksh… #ArtificialInteligence #XAI #optimization
Machine Learning Lab retweeted
📣 Il secondo appuntamento degli #AITalk sta arrivando!
"Machine Learning tra Gemelli Digitali e Fisica Moderna"
📆 25 novembre 2024
🕣 20:30
📍 Hangar Teatri, Via Luigi Pecenco 10
#ArtificialIntelligence #IntelligenzaArtificiale #hangarteatri #AI #Divulgazione
