statistiche ricercatore

Continente	#
EU - Europa	640
NA - Nord America	537
AS - Asia	342
SA - Sud America	100
Continente sconosciuto - Info sul continente non disponibili	28
AF - Africa	9
OC - Oceania	2
Totale	1.658

Nazione	#
US - Stati Uniti d'America	515
RU - Federazione Russa	369
SG - Singapore	99
IT - Italia	86
BR - Brasile	74
CN - Cina	70
VN - Vietnam	58
DE - Germania	54
HK - Hong Kong	49
FR - Francia	33
SE - Svezia	24
GB - Regno Unito	18
JP - Giappone	17
NL - Olanda	15
ES - Italia	11
IN - India	11
CA - Canada	10
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
PK - Pakistan	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
JM - Giamaica	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
PY - Paraguay	1
SC - Seychelles	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	1.631

Nome	#
Online Learning of Reusable Abstract Models for Object Goal Navigation	178
Online Learning of Action Models for PDDL Planning	178
Online Learning of Action Models for PDDL Planning	166
On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces	155
Planning for Learning Object Properties	148
Online Grounding of Symbolic Planning Domains in Unknown Environments	143
Action Model Learning from Noisy Traces: a Probabilistic Approach	140
Integrating Planning and Learning for Agents Acting in Unknown Environments	135
Lifted action models learning from partial traces	135
Learning to Act for Perceiving in Partially Unknown Environments	117
Planning and learning to perceive in partially unknown environments	114
Online Learning of Object-Centric Symbolic Models in Partially Observable Environments	49
Totale	1.658

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	36	0	0	0	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	161	36	30	70	25	0	0	0	0	0	0	0	0
Totale													1.658

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