Vincenzo Dentamaro (@vincenzoden) 's Twitter Profile
Vincenzo Dentamaro

@vincenzoden

Researcher pattern recognition
CEO & Co-Founder of Nextome
v.dentamaro@http://nextome.com
nextome.org

ID: 145224224

calendar_today18-05-2010 12:30:23

714 Tweet

306 Takipçi

439 Takip Edilen

Vincenzo Dentamaro (@vincenzoden) 's Twitter Profile Photo

A new #NeuralNetworks for #COVID19 recognition from #cough #sounds and general #Audio #classification #ArtificialIntelligence is published on @comp_science sciencedirect.com/science/articl… #code paperswithcode.com/paper/auco-res…

Vincenzo Dentamaro (@vincenzoden) 's Twitter Profile Photo

Includere gli esperti e gli scienziati nel processo decisionale è importante per il beneficio comune e per la necessità di accelerare la transizione socio-ecologica. Condivido tutto Mohamed Cheriet, P.Eng, PhD, Fellow CAE EIC EC IAPR Giuseppe Pirlo lnkd.in/gNXuDp73

Vincenzo Dentamaro (@vincenzoden) 's Twitter Profile Photo

I am speaking at IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE. Please check out my talk if you're attending the event! #WCCI2022 - via #Whova event app

I am speaking at IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE. Please check out my talk if you're attending the event! #WCCI2022 - via #Whova event app
Vincenzo Dentamaro (@vincenzoden) 's Twitter Profile Photo

I am proud and grateful of being invited by professor Scott Delp and Dr. Melissa Boswell to give a seminar at Stanford University about gait analysis for neurodegenerative diseases assessment. lnkd.in/dExqfMwX

Vincenzo Dentamaro (@vincenzoden) 's Twitter Profile Photo

Unveiling our latest research in IEEE TNNLS - an interpretable adaptive neural network that unlocks robust deep learning for tabular data! Our model achieves SOTA performance + advanced model explainability. t.ly/gjZDU🚀

机器之心 JIQIZHIXIN (@synced_global) 's Twitter Profile Photo

Long sequences, tiny compute? Meet WERSA — a breakthrough attention mechanism with linear O(n) time. It combines random spectral features, multi-resolution Haar wavelets, and learnable attention over informative scales. The results? - Outperforms FlashAttention-2, Linformer,

Long sequences, tiny compute? 

Meet WERSA — a breakthrough attention mechanism with linear O(n) time.

It combines random spectral features, multi-resolution Haar wavelets, and learnable attention over informative scales.

The results?

- Outperforms FlashAttention-2, Linformer,