statistiche ricercatore

Nazione	#
US - Stati Uniti d'America	538
VN - Vietnam	320
SG - Singapore	292
RU - Federazione Russa	189
IT - Italia	178
CN - Cina	162
HK - Hong Kong	94
KR - Corea	63
BR - Brasile	54
DE - Germania	36
BE - Belgio	24
FR - Francia	22
FI - Finlandia	19
IN - India	19
GB - Regno Unito	16
SA - Arabia Saudita	16
NL - Olanda	15
AT - Austria	13
TH - Thailandia	13
JP - Giappone	12
ID - Indonesia	10
IE - Irlanda	10
IL - Israele	8
TW - Taiwan	8
AR - Argentina	7
MX - Messico	7
NZ - Nuova Zelanda	5
PH - Filippine	5
PL - Polonia	5
BD - Bangladesh	4
EC - Ecuador	4
IQ - Iraq	4
MA - Marocco	4
ZA - Sudafrica	4
AZ - Azerbaigian	3
CA - Canada	3
CH - Svizzera	3
ET - Etiopia	3
KZ - Kazakistan	3
PT - Portogallo	3
TR - Turchia	3
DZ - Algeria	2
ES - Italia	2
JO - Giordania	2
RO - Romania	2
UZ - Uzbekistan	2
VE - Venezuela	2
BA - Bosnia-Erzegovina	1
BO - Bolivia	1
CO - Colombia	1
CY - Cipro	1
DK - Danimarca	1
EG - Egitto	1
GR - Grecia	1
IR - Iran	1
LT - Lituania	1
MY - Malesia	1
NI - Nicaragua	1
NP - Nepal	1
PK - Pakistan	1
PY - Paraguay	1
RS - Serbia	1
SK - Slovacchia (Repubblica Slovacca)	1
TN - Tunisia	1
UY - Uruguay	1
Totale	2.231

Nome	#
Linearly-interpretable concept embedding models for text analysis	300
PEDRo: an Event-based Dataset for Person Detection in Robotics	213
Event-Based Eye Tracking. AIS 2024 Challenge Survey	206
Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing	188
Visual Navigation Using Sparse Optical Flow and Time-to-Transit	180
Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning	177
Memory in Motion: Exploring Leaky Integration of Time Surfaces for Event-based Eye-tracking	159
On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons	155
Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation	155
A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks	145
MESA: A Dynamical Attention-based Pre-processing Pipeline for High-throughput Event-based Computer Vision Tasks	122
V-CEM: Bridging Performance and Intervenability in Concept-Based Models	117
Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models	87
Towards Smaller, Lighter, and More Transparent AI	74
FOREST-GC: A conFOrmable Rendering Engine for Synthetic Tree Generation and Counting	14
Totale	2.292

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2022/2023	84	0	3	2	3	17	15	12	8	3	11	4	6
2023/2024	73	1	0	15	2	2	3	11	8	4	4	11	12
2024/2025	465	6	34	21	41	34	22	36	39	56	50	53	73
2025/2026	1.670	77	52	266	114	96	90	266	175	341	175	18	0
Totale													2.292

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