This is a table of type proper and their frequencies. Use it to search & browse the list to learn more about your study carrel.
proper | frequency |
---|---|
_ | 5337 |
ai | 1565 |
� | 644 |
research | 575 |
index | 464 |
university | 453 |
report | 437 |
intelligence | 386 |
artificial | 383 |
data | 376 |
• | 324 |
learning | 305 |
library | 291 |
figure | 271 |
b | 256 |
forum | 252 |
machine | 235 |
digital | 229 |
metadata | 227 |
ta | 212 |
bootleg | 210 |
al | 209 |
libraries | 206 |
united | 198 |
oclc | 198 |
wikibase | 195 |
m | 189 |
w | 181 |
contentdm | 179 |
chart | 170 |
s | 170 |
u | 166 |
national | 164 |
states | 162 |
n | 154 |
group | 151 |
- | 148 |
new | 147 |
ml | 145 |
cross | 136 |
a | 126 |
collection | 125 |
social | 119 |
et | 119 |
st. | 117 |
london | 116 |
academic | 115 |
international | 114 |
conference | 112 |
information | 111 |
john | 110 |
focus | 109 |
. | 108 |
cs | 107 |
technology | 106 |
m. | 103 |
journal | 100 |
graph | 97 |
microsoft | 95 |
u.s. | 94 |
china | 93 |
| | 93 |
science | 93 |
stanford | 89 |
september | 89 |
management | 89 |
institute | 89 |
god | 88 |
america | 88 |
wikipedia | 87 |
87 | |
j. | 86 |
collections | 86 |
f | 85 |
arxiv | 84 |
disciplinary | 83 |
o | 82 |
north | 81 |
federal | 81 |
support | 78 |
wikidata | 77 |
d. | 76 |
services | 75 |
s. | 73 |
researchǔchapter | 73 |
phds | 73 |
may | 73 |
department | 73 |
december | 71 |
e | 71 |
participant | 69 |
number | 67 |
image | 67 |
y | 67 |
congress | 66 |
a. | 66 |
webinarattendee | 65 |
public | 65 |
project | 65 |
center | 65 |
next | 64 |
generation | 64 |
linked | 63 |
page | 62 |
x | 62 |
smith | 62 |
york | 61 |
network | 61 |
lord | 60 |
l | 60 |
karen | 60 |
interoperability | 60 |
d | 60 |
chicago | 60 |
campus | 60 |
c. | 60 |
archival | 59 |
c | 59 |
systems | 58 |
association | 58 |
development | 58 |
yoshimura | 57 |
ned | 57 |
march | 57 |
r. | 57 |
us | 56 |
ff | 56 |
february | 56 |
pp | 55 |
io | 55 |
code | 55 |
asia | 55 |
state | 54 |
blog | 54 |
t | 54 |
total | 53 |
november | 53 |
june | 53 |
january | 53 |
imagenet | 53 |
scientific | 52 |
publications | 52 |
line2vec | 52 |
global | 52 |
european | 52 |
enterprise | 52 |
april | 52 |
survey | 51 |
world | 50 |
human | 50 |
dublin | 50 |
appendix | 50 |
proceedings | 50 |
mag | 49 |
knowledge | 49 |
orcid | 48 |
neural | 48 |
acm | 48 |
innovation | 47 |
august | 47 |
b. | 47 |
community | 47 |
lincoln | 47 |
marc | 47 |
’s | 47 |
strategy | 46 |
partnerships | 46 |
economic | 46 |
view | 45 |
review | 45 |
networks | 45 |
july | 45 |
giles | 45 |
discovery | 45 |
administration | 44 |
conduct | 44 |
p. | 44 |
ieee | 44 |
sciences | 44 |
∈ | 43 |
security | 43 |
p | 43 |
computer | 43 |
press | 42 |
language | 42 |
l. | 42 |
health | 42 |
canada | 42 |
american | 42 |
g. | 41 |
october | 41 |
office | 41 |
usda | 41 |
south | 40 |
service | 40 |
n.d | 40 |
lighting | 40 |
india | 40 |
annotator | 40 |
activity | 40 |
recognition | 39 |
mayor | 39 |
h | 39 |
deep | 38 |
e. | 38 |
policy | 38 |
way | 38 |
white | 38 |
thomas | 37 |
g | 37 |
azure | 37 |
h. | 36 |
challenge | 36 |
cra | 36 |
east | 36 |
computational | 36 |
k. | 36 |
michael | 36 |
natural | 36 |
program | 36 |
map | 36 |
james | 35 |
australia | 35 |
box | 35 |
entity | 35 |
35 | |
quid | 35 |
tech | 35 |
wang | 35 |
ing | 34 |
bert | 34 |
germany | 34 |
government | 34 |
union | 34 |
iwgsc | 34 |
oecd | 34 |
museum | 34 |
viz | 33 |
t. | 33 |
processing | 33 |
field | 33 |
discoverability | 33 |
bank | 33 |
archives | 33 |
ethics | 32 |
agreements | 32 |
analysis | 32 |
area | 32 |
ars | 32 |
day | 32 |
model | 32 |
explorer | 32 |
github | 32 |
n. | 32 |
source | 32 |
street | 32 |
kingdom | 31 |
africa | 31 |
commons | 31 |
eu | 31 |
english | 31 |
mean | 31 |
working | 31 |
parish | 31 |
partnership | 31 |
node2vec | 31 |
europe | 30 |
central | 30 |
college | 30 |
computing | 30 |
england | 30 |
aida | 30 |
geographic | 30 |
node | 30 |
openrefine | 30 |
study | 30 |
type | 30 |
k | 30 |
education | 29 |
california | 29 |
communications | 29 |
humanities | 29 |
robotics | 29 |
stepney | 29 |
whitechapel | 28 |
transforming | 28 |
david | 28 |
cdc | 28 |
break | 28 |
algorithm | 28 |
jan. | 27 |
count | 27 |
f1 | 27 |
rim | 27 |
vision | 27 |
v | 27 |
scopus | 27 |
json | 26 |
access | 26 |
affairs | 26 |
brian | 26 |
deviation | 26 |
doi | 26 |
f. | 26 |
gan | 26 |
industry | 26 |
librarian | 26 |
maximum | 26 |
mckinsey | 26 |
minimum | 26 |
minnesota | 26 |
r | 26 |
resources | 26 |
skills | 26 |
std | 26 |
taulbee | 26 |
variance | 26 |
glass | 25 |
adversarial | 25 |
company | 25 |
edge | 25 |
ed | 25 |
linguistics | 25 |
overview | 25 |
society | 25 |
transportation | 25 |
andrew | 24 |
aug. | 24 |
base | 24 |
cleveland | 24 |
dod | 24 |
foundation | 24 |
france | 24 |
future | 24 |
i | 24 |
job | 24 |
paul | 24 |
python | 24 |
rdm | 24 |
user | 24 |
w. | 24 |
zhang | 24 |
▢ | 24 |
generative | 23 |
faculty | 23 |
de | 23 |
cripplegate | 23 |
nhanes | 23 |
british | 23 |
black | 23 |
aldgate | 23 |
joint | 23 |
washington | 23 |
nlp | 23 |
post | 23 |
school | 23 |
strategies | 23 |
web | 23 |
workshop | 23 |
y. | 23 |
no | 23 |
mining | 22 |
analyzer | 22 |
block | 22 |
cloud | 22 |
county | 22 |
i. | 22 |
iiif | 22 |
institutional | 22 |
methods | 22 |
v. | 22 |
robert | 22 |
sept. | 22 |
standards | 22 |
studies | 22 |
system | 22 |
temple | 22 |
reference | 22 |
dbpedia | 21 |
ibm | 21 |
heaven | 21 |
defense | 21 |
king | 21 |
core | 21 |
context | 21 |
building | 21 |
identifiers | 21 |
southwark | 21 |
li | 21 |
organization | 21 |
sat | 21 |
singapore | 21 |
smithsonian | 21 |
subject | 21 |
tool | 21 |
virginia | 21 |
mediawiki | 21 |
italy | 20 |
matrix | 20 |
mark | 20 |
liu | 20 |
jason | 20 |
analyses | 20 |
drucker | 20 |
art | 20 |
annual | 20 |
accuracy | 20 |
news | 20 |
netbase | 20 |
pcc | 20 |
open | 20 |
retrospective | 20 |
tptp | 20 |
steven | 20 |
scholarly | 20 |
ru | 20 |
pacific | 20 |
rebecca | 20 |
planning | 20 |
pilot | 20 |
performance | 20 |
illinois | 19 |
atp | 19 |
auc | 19 |
bryant | 19 |
crowd | 19 |
deepwalk | 19 |
elsevier | 19 |
framework | 19 |
fy | 19 |
hhs | 19 |
house | 19 |
algorithms | 19 |
hub | 19 |
lavoie | 19 |
sentinel | 19 |
lis | 19 |
○ | 19 |
vqa | 19 |
sourcing | 19 |
ux | 19 |
representation | 19 |
reading | 19 |
pubmed | 19 |
nsf | 19 |
nist | 19 |
classification | 18 |
institution | 18 |
general | 18 |
design | 18 |
daniel | 18 |
cora | 18 |
ministry | 18 |
challenges | 18 |
bell | 18 |
applications | 18 |
analytics | 18 |
alley | 18 |
kim | 18 |
introduction | 18 |
notre | 18 |
search | 18 |
theory | 18 |
tail | 18 |
sub | 18 |
solutions | 18 |
shoreditch | 18 |
task | 18 |
sdne | 18 |
retriever | 18 |
reasoning | 18 |
patterns | 18 |
schema.org | 18 |
const | 17 |
detection | 17 |
dataset | 17 |
dame | 17 |
council | 17 |
big | 17 |
cohen | 17 |
business | 17 |
authority | 17 |
ag | 17 |
history | 17 |
gender | 17 |
fda | 17 |
lab | 17 |
rdf | 17 |
markov | 17 |
wwo | 17 |
visualization | 17 |
url | 17 |
spanbert | 17 |
tacred | 17 |
privacy | 17 |
plan | 17 |
park | 17 |
nih | 17 |
msc | 17 |
columbia | 16 |
culture | 16 |
entities | 16 |
crc | 16 |
courses | 16 |
corpus | 16 |
congressional | 16 |
commission | 16 |
agency | 16 |
church | 16 |
ce | 16 |
cards | 16 |
capiq | 16 |
bishopsgate | 16 |
aldermen | 16 |
activitynet | 16 |
gray | 16 |
16 | |
coco | 16 |
harvard | 16 |
peter | 16 |
vi | 16 |
standard | 16 |
speedboat | 16 |
san | 16 |
resource | 16 |
ratcliff | 16 |
professional | 16 |
it | 16 |
viaf | 16 |
librarianship | 16 |
levenshtein | 16 |
labor | 16 |
l(g | 16 |
korea | 16 |
j | 16 |
mlp(m | 16 |
code4lib | 15 |
fields | 15 |
eq | 15 |
director | 15 |
describer | 15 |
crunchbase | 15 |
convolutional | 15 |
committee | 15 |
biological | 15 |
chinese | 15 |
brown | 15 |
brazil | 15 |
ay | 15 |
automated | 15 |
archive | 15 |
application | 15 |
kentucky | 15 |
affinity | 15 |
guide | 15 |
latin | 15 |
online | 15 |
long | 15 |
william | 15 |
vol | 15 |
usgs | 15 |
text | 15 |
speech | 15 |
preprint | 15 |
papers | 15 |
technical | 15 |
oklahoma | 15 |
middle | 15 |
ohio | 15 |
ma | 15 |
miami | 15 |
m/ | 15 |
npgs | 15 |
nrrl | 15 |
end | 14 |
ld | 14 |
label | 14 |
japan | 14 |
indiana | 14 |
impact | 14 |
harper | 14 |
feedback | 14 |
federation | 14 |
eric | 14 |
archived | 14 |
drug | 14 |
dr. | 14 |
disambiguation | 14 |
chen | 14 |
barthel | 14 |
balke | 14 |
baker | 14 |
autonomous | 14 |
martin | 14 |
marcedit | 14 |
u. | 14 |
other | 14 |
steps | 14 |
passage | 14 |
wapping | 14 |
women | 14 |
top | 14 |
tom | 14 |
texas | 14 |
te | 14 |
table | 14 |
times | 14 |
sota | 14 |
sigkdd | 14 |
semantic | 14 |
robot | 14 |
richard | 14 |
researchers | 14 |
references | 14 |
software | 14 |
realities | 14 |
food | 13 |
defoe | 13 |
densepose | 13 |
easel | 13 |
lightgbm | 13 |
ford | 13 |
imls | 13 |
jiang | 13 |
conferences | 13 |
constance | 13 |
act | 13 |
clerkenwell | 13 |
carolina | 13 |
budget | 13 |
bloomberg | 13 |
bibliographic | 13 |
australian | 13 |
aphis | 13 |
adoption | 13 |
managers | 13 |
aaai | 13 |
literature | 13 |
higher | 13 |
master | 13 |
springer | 13 |
method | 13 |
● | 13 |
Řehůřek | 13 |
z. | 13 |
webbing | 13 |
use | 13 |
usa | 13 |
tönnies | 13 |
switzerland | 13 |
squad | 13 |
west | 13 |
special | 13 |
one | 13 |
mit | 13 |
see | 13 |
name | 13 |
non- | 13 |
oxford | 13 |
preservation | 13 |
qai | 13 |
race | 13 |
fig | 12 |
ii | 12 |
george | 12 |
graphsage | 12 |
hathitrust | 12 |
holland | 12 |
huntington | 12 |
interface | 12 |
il | 12 |
infrastructure | 12 |
interagency | 12 |
investment | 12 |
javascript | 12 |
family | 12 |
far | 12 |
architecture | 12 |
evaluation | 12 |
environment | 12 |
economy | 12 |
dogs | 12 |
diversity | 12 |
cultural | 12 |
chapter | 12 |
cataloging | 12 |
cancer | 12 |
bruce | 12 |
angeles | 12 |
agriculture | 12 |
advanced | 12 |
lane | 12 |
kg | 12 |
logan | 12 |
law | 12 |
queer | 12 |
xv | 12 |
work | 12 |
westminster | 12 |
vj | 12 |
u.k. | 12 |
tensorflow | 12 |
supply | 12 |
supplies | 12 |
sparql | 12 |
somewhat | 12 |
si | 12 |
script | 12 |
sa | 12 |
query | 12 |
liberating | 12 |
plant | 12 |
mellon | 12 |
physical | 12 |
zhao | 12 |
los | 12 |
mad | 12 |
meeting | 12 |
malpas | 12 |
michigan | 12 |
parliament | 12 |
part | 12 |
partners | 12 |
peer | 12 |
philadelphia | 12 |
jobs | 11 |
georgia | 11 |
graduate | 11 |
grant | 11 |
headings | 11 |
high | 11 |
mario | 11 |
johnson | 11 |
katherine | 11 |
kq/2h | 11 |
le | 11 |
legal | 11 |
loop | 11 |
ffrrrx | 11 |
french | 11 |
christopher | 11 |
discussion | 11 |
database | 11 |
curation | 11 |
cu | 11 |
corporate | 11 |
con- | 11 |
charles | 11 |
centre | 11 |
carnegie | 11 |
caribbean | 11 |
book | 11 |
austin | 11 |
alliance | 11 |
accessed | 11 |
methodology | 11 |
matt | 11 |
key | 11 |
morgan | 11 |
voxceleb | 11 |
training | 11 |
turkey | 11 |
uk | 11 |
value | 11 |
van | 11 |
vector | 11 |
watchmen | 11 |
technologies | 11 |
wikimedia | 11 |
yolo | 11 |
yu | 11 |
zhu | 11 |
n.p | 11 |
º | 11 |
thou | 11 |
washburn | 11 |
spain | 11 |
problem | 11 |
ne | 11 |
space | 11 |
nakazawa | 11 |
padilla | 11 |
phase | 11 |
practices | 11 |
practical | 11 |
quarterly | 11 |
ra | 11 |
record | 11 |
respondents | 11 |
shapley | 11 |
sne | 11 |
dutch | 10 |
examples | 10 |
historical | 10 |
executive | 10 |
first | 10 |
gardens | 10 |
goodfellow | 10 |
governance | 10 |
greenwich | 10 |
hintze | 10 |
iv | 10 |
holly | 10 |
ict | 10 |
initiative | 10 |
ireland | 10 |
israel | 10 |
jan | 10 |
jeff | 10 |
joseph | 10 |
kb | 10 |
delivery | 10 |
dodgers | 10 |
bengio | 10 |
dec. | 10 |
dean | 10 |
keras | 10 |
`ib7b+b | 10 |
agricultural | 10 |
alexander | 10 |
anna | 10 |
api | 10 |
belgium | 10 |
bm | 10 |
botanical | 10 |
bradley | 10 |
bride | 10 |
burning | 10 |
cambridge | 10 |
centers | 10 |
citeseer | 10 |
conclusion | 10 |
contexts | 10 |
dave | 10 |
davis | 10 |
keith | 10 |
river | 10 |
la | 10 |
representations | 10 |
rights | 10 |
ring | 10 |
rlp | 10 |
scale | 10 |
scott | 10 |
shared | 10 |
shen | 10 |
short | 10 |
singh | 10 |
student | 10 |
su | 10 |
summary | 10 |
ti | 10 |
topic | 10 |
trading | 10 |
watson | 10 |
word | 10 |
learn- | 10 |
zeng | 10 |
responsible | 10 |
yale | 10 |
regional | 10 |
neurips | 10 |
rachel | 10 |
matthew | 10 |
max | 10 |
media | 10 |
mode | 10 |
models | 10 |
molecular | 10 |
need | 10 |
netherlands | 10 |
low | 10 |
oboc | 10 |
pattern | 10 |
others | 10 |
postings | 10 |
penetration | 10 |
r&d | 10 |
patents | 10 |
p(e | 10 |
outcomes | 10 |
dortmund | 9 |
genetic | 9 |
ecosystem | 9 |
empirical | 9 |
esg | 9 |
extraction | 9 |
gamestorming | 9 |
gcn | 9 |
eastern | 9 |
homophily | 9 |
gpt-3 | 9 |
han | 9 |
herbert | 9 |
huang | 9 |
id | 9 |
identity | 9 |
in- | 9 |
isni | 9 |
description | 9 |
doc2vec | 9 |
cai | 9 |
departments | 9 |
dempsey | 9 |
jin | 9 |
+?bm2@h2 | 9 |
`;p | 9 |
ac | 9 |
allen | 9 |
amazon | 9 |
annette | 9 |
approach | 9 |
assistant | 9 |
biomedical | 9 |
case | 9 |
chris | 9 |
christian | 9 |
coleman | 9 |
cpl | 9 |
creative | 9 |
deepmind | 9 |
jean | 9 |
action | 9 |
klein | 9 |
vibrancy | 9 |
specialized | 9 |
stephen | 9 |
summer | 9 |
time | 9 |
tomren | 9 |
transactions | 9 |
trends | 9 |
understanding | 9 |
w3c | 9 |
set | 9 |
weber | 9 |
wild | 9 |
williams | 9 |
− | 9 |
wordpress | 9 |
xu | 9 |
yago | 9 |
lc | 9 |
skill | 9 |
waltham | 9 |
senate | 9 |
outreach | 9 |
schmidt | 9 |
lin | 9 |
literary | 9 |
mary | 9 |
miller | 9 |
modeling | 9 |
norway | 9 |
outline | 9 |
mlp | 9 |
pillar | 9 |
portugal | 9 |
power | 9 |
precision | 9 |
q. | 9 |
russia | 9 |
photos | 9 |
saharan | 9 |
energy | 8 |
fnmr | 8 |
germplasm | 8 |
geonames | 8 |
févry | 8 |
foodborne | 8 |
error | 8 |
evolution | 8 |
eur | 8 |
engineering | 8 |
greg | 8 |
gold | 8 |
inc. | 8 |
harris | 8 |
hayward | 8 |
healthcare | 8 |
holborn | 8 |
hu- | 8 |
ia | 8 |
ie | 8 |
iii | 8 |
ijcai | 8 |
integrated | 8 |
isbn | 8 |
edward | 8 |
el | 8 |
authors | 8 |
economics | 8 |
cham | 8 |
academia | 8 |
anonymized | 8 |
applied | 8 |
areas | 8 |
attribution | 8 |
justice | 8 |
avg | 8 |
baseline | 8 |
berea | 8 |
bgov | 8 |
bias | 8 |
ci | 8 |
dolphin | 8 |
clark | 8 |
coast | 8 |
complex | 8 |
conn | 8 |
constraint | 8 |
content | 8 |
cooperative | 8 |
definition | 8 |
demand | 8 |
doc | 8 |
docs | 8 |
islington | 8 |
hackney | 8 |
kevin | 8 |
registry | 8 |
republic | 8 |
reviewed | 8 |
roy | 8 |
sarah | 8 |
square | 8 |
st | 8 |
start | 8 |
structured | 8 |
structures | 8 |
tea | 8 |
tim | 8 |
transfer | 8 |
undergraduate | 8 |
vcr | 8 |
visual | 8 |
ward | 8 |
wiegand | 8 |
worldcat | 8 |
writers | 8 |
yang | 8 |
youtube | 8 |
zealand | 8 |
© | 8 |
λ | 8 |
kong | 8 |
repository | 8 |
updates | 8 |
publishing | 8 |
mountain | 8 |
lake | 8 |
providence | 8 |
librispeech | 8 |
line | 8 |
liquidnet | 8 |
local | 8 |
lorcan | 8 |
m&a | 8 |
materials | 8 |
mexico | 8 |
mirador | 8 |
luke | 8 |
pcr | 8 |
old | 8 |
policies | 8 |
playbook | 8 |
picasa | 8 |
paper | 8 |
preview | 8 |
nvidia | 8 |
notes | 8 |
nesta | 8 |
munich | 8 |
mt | 8 |
ian | 7 |
gru | 7 |
http://arxiv.org/abs/1412.3555 | 7 |
hoffart | 7 |
hamilton | 7 |
h2 | 7 |
gurevych | 7 |
folsom | 7 |
gary | 7 |
graphs | 7 |
geological | 7 |
geoff | 7 |
gadget | 7 |
gap | 7 |
ill | 7 |
iclr | 7 |
luis | 7 |
interior | 7 |
librarians | 7 |
men | 7 |
fast | 7 |
membership | 7 |
maryland | 7 |
maceli | 7 |
log | 7 |
liang | 7 |
jr. | 7 |
lg | 7 |
lcsh | 7 |
lauren | 7 |
kotthoff | 7 |
kdd | 7 |
jrc | 7 |
financial | 7 |
amanda | 7 |
extended | 7 |
arclight | 7 |
centered | 7 |
brain | 7 |
best | 7 |
benjamin | 7 |
benchmark | 7 |
aws | 7 |
altman | 7 |
example:-- | 7 |
alphafold | 7 |
aids | 7 |
agents | 7 |
academy | 7 |
abraham | 7 |
mf | 7 |
champaign | 7 |
change | 7 |
citation | 7 |
city | 7 |
clustering | 7 |
co | 7 |
comparison | 7 |
consortium | 7 |
cornell | 7 |
crs | 7 |
cvpr | 7 |
deepfake | 7 |
diego | 7 |
dl | 7 |
documentation | 7 |
efficientnet | 7 |
erik | 7 |
mentions | 7 |
ranknet | 7 |
microso | 7 |
siu | 7 |
surveys | 7 |
sun | 7 |
steve | 7 |
startup | 7 |
spring | 7 |
speaker | 7 |
sir | 7 |
taxonomy | 7 |
sepulchre | 7 |
sentence | 7 |
senior | 7 |
select | 7 |
schossau | 7 |
scholarship | 7 |
sv | 7 |
team | 7 |
safety | 7 |
vrr | 7 |
mixter | 7 |
zhou | 7 |
year | 7 |
wu | 7 |
wood | 7 |
webinar | 7 |
vk | 7 |
term | 7 |
vermilion | 7 |
triz | 7 |
theorem | 7 |
tf | 7 |
testing | 7 |
terry | 7 |
schema | 7 |
tools | 7 |
ryan | 7 |
ostp | 7 |
pine | 7 |
physicians | 7 |
photograph | 7 |
people | 7 |
patrick | 7 |
patent | 7 |
openai | 7 |
practice | 7 |
ny | 7 |
nutrition | 7 |
nielsen | 7 |
nation | 7 |
road | 7 |
nancy | 7 |
plague | 7 |
o(|v | 7 |
prediction | 7 |
reese | 7 |
reserve | 7 |
private | 7 |
results | 7 |
repositories | 7 |
relative | 7 |
relation | 7 |
reflections | 7 |
relationship | 7 |
red | 7 |
proving | 7 |
progress | 7 |
programming | 7 |
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iccv | 4 |
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https://www.ars.usda.gov/northeast-area/beltsville-md-barc/beltsville-agricultural-research-center/mycology-and-nematology-genetic-diversity-and-biology-laboratory/docs/us-national-fungus-collections-bpi/us-national-fungus-collections-databases/ | 3 |
https://towardsdatascience.com/why-deep-learning-is-needed-over-traditional-machine-learning-1b6a99177063 | 3 |
https://spacy.io/ | 3 |
https://researchworks.oclc.org/cdmld/screenshots/image-annotator-2.png | 3 |
https://researchworks.oclc.org/cdmld/screenshots/image-annotator-1.png | 3 |
https://researchworks.oclc.org/cdmld/screenshots/field-analyzer-1.png | 3 |
https://researchworks.oclc.org/cdmld/screenshots/explorer-7.png | 3 |
https://researchworks.oclc.org/cdmld/screenshots/explorer-6.png | 3 |
ids | 3 |
implications | 3 |
https://researchworks.oclc.org/cdmld/screenshots/explorer-4.png | 3 |
indian | 3 |
3 | |
jackson | 3 |
ixchel | 3 |
ivy | 3 |
ivan | 3 |
islander | 3 |
ir | 3 |
interpretation | 3 |
intento | 3 |
intense | 3 |
insurance | 3 |
instruction | 3 |
inspector | 3 |
inspection | 3 |
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inside | 3 |
innovations | 3 |
informant | 3 |
infor- | 3 |
industries | 3 |
indigenous | 3 |
https://researchworks.oclc.org/cdmld/screenshots/explorer-5.png | 3 |
https://researchworks.oclc.org/cdmld/screenshots/explorer-3.png | 3 |
homegrown | 3 |
https://cdm16014.contentdm.oclc.org/digital/collection/p4014coll18/search/searchterm/jasper+wood/field/creato/mode/all/conn/and | 3 |
https://cdm16002.contentdm.oclc.org/digital/collection/p245801coll0/search/searchterm/templana%20event%20album%20collection/field/reposa/mode/exact/conn/and | 3 |
https://blogs.loc.gov/thesignal/2020/02/machine-learning-libraries-summit-event-summary-now-live/ | 3 |
https://arxiv.org/pdf/1405.1756.pdf | 3 |
https://arxiv.org/abs/2102.02503 | 3 |
http://www.oclc.org | 3 |
http://www.jmlr.org/papers/v9/vandermaaten08a.html | 3 |
http://www.ala.org/tools/programming/onebook | 3 |
http://refhub.elsevier.com/s0099-1333(21)00025-2/rf7000 | 3 |
http://refhub.elsevier.com/s0099-1333(21)00025-2/rf0095 | 3 |
http://refhub.elsevier.com/s0099-1333(21)00025-2/rf0045 | 3 |
http://refhub.elsevier.com/s0099-1333(21)00025-2/rf0030 | 3 |
http://refhub.elsevier.com/s0099-1333(21)00025-2/rf0005 | 3 |
http://proceedings.mlr.press/v48/xieb16.html | 3 |
http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf | 3 |
http://dl.acm.org/citation.cfm?doid=2623330.2623732 | 3 |
hsu | 3 |
hq | 3 |
how- | 3 |
hospital | 3 |
hopkins | 3 |
honor | 3 |
https://cdm16002.contentdm.oclc.org/digital/collection/p245801coll0/search/searchterm/templana%20photograph%20collection/field/reposa/mode/exact/conn/and | 3 |
https://cplorg.contentdm.oclc.org/digital/collection/p4014coll18/search/searchterm/cleveland%20picture%20collection/field/collec/mode/exact/conn/and/order/sortda/ad/asc | 3 |
https://researchworks.oclc.org/cdmld/screenshots/explorer-1.png | 3 |
https://digital.library.temple.edu/digital/search/collection/p16002coll6!p15037coll19!p15037coll14!p16002coll2/searchterm/ywca%20philadelphia%20branches%20records/field/digitb/mode/exact/conn/and/order/title/ad/asc | 3 |
https://researchworks.oclc.org/cdmld/screenshots/describer-1.png | 3 |
https://researchworks.oclc.org/cdmld/screenshots/cdm-property-proposal.png | 3 |
https://researchworks.oclc.org/cdmld/screenshots/cdm-item-talk-q148309.png | 3 |
https://registry.gbif.org/institution/7a717903-d4c7-4a83-a0cb-aaaca212228e | 3 |
https://reflections.mndigital.org/?f%5bcollection | 3 |
https://proceedings.neurips.cc/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-paper.pdf | 3 |
https://paperswithcode.com/paper/billion-scale-semi-supervised-learning-for | 3 |
https://inception-project.github.io | 3 |
https://icecores.org/ | 3 |
https://hdl.huntington.org/digital/collection/p15150coll2/search/searchterm/verner+collection+of+panoramic+negatives/field/physic/mode/all/conn/and/order/title | 3 |
https://hdl.huntington.org/digital/collection/p15150coll2/search/searchterm/photographs%20of%20the%20california%20missions%20by%20william%20henry%20jackson/field/physic/mode/exact/conn/and | 3 |
https://hdl.huntington.org/digital/collection/p15150coll2/search/searchterm/palmer+conner+collection+of+color+slides+of+los+angeles%2c+1950+-+1970/field/physic/mode/all/conn/and/order/nosort | 3 |
https://doi.org/10.5281/zenodo.3859749 | 3 |
https://doi.org/10.5281/zenodo.3152935 | 3 |
https://doi.org/10.25333/faq3-ax08 | 3 |
https://doi.org/10.25333/c3pg8j. | 3 |
https://doi.org/10.18653/v1/d19-1410 | 3 |
https://doi.org/10.18653/v1/d18-1445 | 3 |
https://doi.org/10.1109/tkde.2014.2327028 | 3 |
https://dl.acm.org/doi/10.1145/3292500.3330961 | 3 |
https://dkpro.github.io/dkpro-core/ | 3 |
embeddings | 3 |
bronstein | 3 |
elvia | 3 |
banner | 3 |
beyond | 3 |
better | 3 |
benefits | 3 |
benchmarks | 3 |
be- | 3 |
bbc | 3 |
bayes | 3 |
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batch | 3 |
basic | 3 |
banerjee | 3 |
ellen | 3 |
baidu | 3 |
bacteria | 3 |
bacon | 3 |
bachelor | 3 |
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b2ib | 3 |
b2i | 3 |
avelar | 3 |
automl | 3 |
automation | 3 |
bibframe | 3 |
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bode | 3 |
bmc | 3 |
automatic | 3 |
authorities | 3 |
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amelia | 3 |
album | 3 |
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african | 3 |
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advancing | 3 |
administrators | 3 |
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acquisition | 3 |
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+1 | 3 |
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allard | 3 |
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datasets | 3 |
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css | 3 |
csiro | 3 |
crossref | 3 |
directory | 3 |
divine | 3 |
credits | 3 |
document | 3 |
elegy | 3 |
electronics | 3 |
electronic | 3 |
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egat | 3 |
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edition | 3 |
edgar | 3 |
ecn | 3 |
eckart | 3 |
ebook | 3 |
earth | 3 |
ead | 3 |
eaasi | 3 |
duke | 3 |
dscs | 3 |
drupal | 3 |
drive | 3 |
dredze | 3 |
don | 3 |
doj | 3 |
crop | 3 |
cramer | 3 |
cantrell | 3 |
cis | 3 |