5 citations · 7 across the 3 of their papers we have counts for
3 papers
The networks of ingredient combinations as culinary fingerprints of world cuisines
Claudio Caprioli, Saumitra Kulkarni, Federico Battiston +3
Investigating how different ingredients are combined in popular dishes is crucial to uncover the principles behind food preferences. Here, we use data from public food repositories…
Food Pairing Unveiled: Exploring Recipe Creation Dynamics through Recommender Systems
Giovanni Palermo, Claudio Caprioli, Giambattista Albora
In the early 2000s, renowned chef Heston Blumenthal formulated his "food pairing" hypothesis, positing that if foods share many flavor compounds, then they tend to taste good when…
Deep Neural Networks as Complex Networks
Emanuele La Malfa, Gabriele La Malfa, Claudio Caprioli +2
Deep Neural Networks are, from a physical perspective, graphs whose `links` and `vertices` iteratively process data and solve tasks sub-optimally. We use Complex Network Theory (CN…