CINECA IRIS Institutional Research Information System

GIANNINI, FRANCESCO
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
AS - Asia 172
NA - Nord America 46
EU - Europa 38
SA - Sud America 3
AF - Africa 1
Totale 260
Salva come PNG Salva come JPEG
Nazione #
SG - Singapore 106
US - Stati Uniti d'America 44
IT - Italia 33
CN - Cina 31
VN - Vietnam 16
JP - Giappone 6
BR - Brasile 3
FR - Francia 2
HK - Hong Kong 2
IQ - Iraq 2
JO - Giordania 2
BD - Bangladesh 1
CA - Canada 1
DE - Germania 1
EG - Egitto 1
GB - Regno Unito 1
ID - Indonesia 1
IN - India 1
JM - Giamaica 1
KR - Corea 1
NL - Olanda 1
PK - Pakistan 1
SA - Arabia Saudita 1
UZ - Uzbekistan 1
Totale 260
Salva come PNG Salva come JPEG
Città #
Singapore 33
Pisa 11
Baltimore 10
Ashburn 8
Columbus 7
Ho Chi Minh City 6
Tokyo 6
Turin 5
Florence 4
Da Nang 2
Genoa 2
Hanoi 2
Hong Kong 2
Los Angeles 2
Milan 2
New York 2
Reggio Emilia 2
San Jose 2
Aizawl 1
Al Hillah 1
Amman 1
Amsterdam 1
Ancona 1
Balikpapan 1
Béziers 1
Cairo 1
Chicago 1
Dammam 1
Dhaka 1
Fontanellato 1
Frankfurt am Main 1
Jhelum 1
Juiz de Fora 1
Kingston 1
London 1
Long Xuyen 1
Magé 1
Montreal 1
Perugia 1
Phủ Lý 1
Pont-d'Ain 1
Savannah 1
Scotts Valley 1
Seodaemun-gu 1
São Paulo 1
Tashkent 1
Thanh Hóa 1
Thomasville 1
Totale 138
Salva come PNG Salva come JPEG
Nome #
Mathematical Foundation of Interpretable Equivariant Surrogate Models 47
Benchmarking in Neuro-Symbolic AI 15
Distilling KGE black boxes into interpretable NeSy models 12
Grounding Methods for Neural-Symbolic AI 11
Interpretable Link Prediction via Neural-Symbolic Reasoning 11
Bridging Equational Properties and Patterns on Graphs : an AI-Based Approach 11
Relational reasoning networks 11
Mathematical Foundation of Interpretable Equivariant Surrogate Models 10
A Constraint-Based Approach to Learning and Reasoning 9
Workshop on Human-Interpretable AI 9
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model 9
COUNTERFACTUAL CONCEPT BOTTLENECK MODELS 9
Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach 8
Interpretable Concept-Based Memory Reasoning 8
Relational Concept Bottleneck Models 7
Interpretable Neural-Symbolic Concept Reasoning 7
Logically explainable malware detection 7
Categorical Foundation of Explainable AI : a Unifying Theory 7
Learning Łukasiewicz Logic Fragments by Quadratic Programming 6
Interpretable Graph Networks Formulate Universal Algebra Conjectures 5
A constraint-based approach to learning and explanation 5
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge 5
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge 5
Linguistic Feature Injection for Efficient Natural Language Processing 4
Characterization of the Convex Lukasiewicz Fragment for Learning from Constraints 3
T-norms driven loss functions for machine learning 3
Logic Explained Networks 3
Extending Logic Explained Networks to Text Classification 3
Linguistic Feature Injection for Efficient Natural Language Processing 3
A Constraint-Based Approach to Learning and Reasoning 3
T-norms driven loss functions for machine learning 3
Logic Explained Networks 3
Interpretable Neural-Symbolic Concept Reasoning 3
Logic Explained Networks 3
LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning 2
Logic Explained Networks 2
Learning Logic Explanations by Neural Networks 2
Human-driven FOL explanations of deep learning 2
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off 2
Conditions for Unnecessary Logical Constraints in Kernel Machines 2
Constraint-Based Visual Generation 2
Concept Embedding Models : Beyond the Accuracy-Explainability Trade-Off 2
On a Convex Logic Fragment for Learning and Reasoning 2
On the Relation Between Loss Functions and T-Norms 2
Inference in relational neural machines 2
LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning 2
Learning Łukasiewicz Logic Fragments by Quadratic Programming 2
Constraint-based visual generation 2
Human-Driven FOL Explanations of Deep Learning 2
Entropy-Based Logic Explanations of Neural Networks 2
On the relation between Loss Functions and T-Norms 2
Relational neural machines 2
Relational neural machines 2
Entropy-Based Logic Explanations of Neural Networks 2
Learning logic explanations by neural networks 2
Integrating Learning and Reasoning with Deep Logic Models 2
Integrating learning and reasoning with deep logic models 2
On a Convex Logic Fragment for Learning and Reasoning 2
Inference in relational neural machines 2
Extending logic explained networks to text classification 2
Characterization of the convex Lukasiewicz fragment for learning from constraints 2
Conditions for Unnecessary Logical Constraints in Kernel Machines 2
Totale 324
Salva come PNG Salva come JPEG
Categoria #
all - tutte 622
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 622
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2025/2026324 0 0 0 5 6 10 8 133 72 90 0 0
Totale 324