statistiche ricercatore

Continente	#
EU - Europa	633
NA - Nord America	448
AS - Asia	337
SA - Sud America	99
Continente sconosciuto - Info sul continente non disponibili	28
AF - Africa	8
OC - Oceania	2
Totale	1.555

Nazione	#
US - Stati Uniti d'America	428
RU - Federazione Russa	369
SG - Singapore	97
IT - Italia	80
BR - Brasile	73
CN - Cina	69
VN - Vietnam	58
DE - Germania	54
HK - Hong Kong	49
FR - Francia	33
SE - Svezia	24
GB - Regno Unito	17
JP - Giappone	16
NL - Olanda	15
ES - Italia	11
IN - India	11
CA - Canada	9
AR - Argentina	8
BD - Bangladesh	8
VE - Venezuela	8
MX - Messico	7
PL - Polonia	7
CO - Colombia	5
IE - Irlanda	5
AE - Emirati Arabi Uniti	4
FI - Finlandia	4
IQ - Iraq	4
ZA - Sudafrica	4
AT - Austria	3
BE - Belgio	3
IL - Israele	3
LT - Lituania	3
SA - Arabia Saudita	3
AU - Australia	2
AZ - Azerbaigian	2
ID - Indonesia	2
JO - Giordania	2
TR - Turchia	2
AM - Armenia	1
BB - Barbados	1
CH - Svizzera	1
CL - Cile	1
CM - Camerun	1
CZ - Repubblica Ceca	1
EC - Ecuador	1
GT - Guatemala	1
KE - Kenya	1
LK - Sri Lanka	1
MA - Marocco	1
MK - Macedonia	1
MT - Malta	1
MY - Malesia	1
NP - Nepal	1
PA - Panama	1
PE - Perù	1
PH - Filippine	1
PK - Pakistan	1
PY - Paraguay	1
TH - Thailandia	1
TT - Trinidad e Tobago	1
UA - Ucraina	1
UG - Uganda	1
UY - Uruguay	1
XK - ???statistics.table.value.countryCode.XK???	1
Totale	1.528

Nome	#
Online Learning of Reusable Abstract Models for Object Goal Navigation	170
Online Learning of Action Models for PDDL Planning	170
Online Learning of Action Models for PDDL Planning	160
On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces	150
Planning for Learning Object Properties	141
Action Model Learning from Noisy Traces: a Probabilistic Approach	132
Online Grounding of Symbolic Planning Domains in Unknown Environments	131
Lifted action models learning from partial traces	128
Integrating Planning and Learning for Agents Acting in Unknown Environments	125
Learning to Act for Perceiving in Partially Unknown Environments	111
Planning and learning to perceive in partially unknown environments	102
Online Learning of Object-Centric Symbolic Models in Partially Observable Environments	35
Totale	1.555

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	66	0	22	8	9	3	3	5	8	2	1	0	5
2022/2023	66	3	1	0	9	4	12	0	7	16	8	5	1
2023/2024	70	4	13	10	4	6	1	2	7	3	9	0	11
2024/2025	354	6	2	31	12	0	13	8	17	138	46	51	30
2025/2026	928	32	56	58	87	44	38	115	287	68	81	47	15
2026/2027	58	36	22	0	0	0	0	0	0	0	0	0	0
Totale													1.555

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