top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Cultural Heritage Storytelling, Engagement and Management in the Era of Big Data and the Semantic Web
Cultural Heritage Storytelling, Engagement and Management in the Era of Big Data and the Semantic Web
Autore Dimoulas Charalampos
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (241 p.)
Soggetto topico Films, cinema
Television
Soggetto non controllato 3D content
3D modeling
3D reconstruction
audience engagement
audiovisual heritage
authoring tools
BERT
big data
biocultural heritage
content crowdsourcing
cultural heritage
data center
data-driven storytelling
deep neural networks
digital marketing
digital narrative
digital storytelling
distant supervision
eco-friendly
energy transition
environmental communication
event detection
evolution analytics
Évora
Greek literature
Greek NLP
green culture
green hosting
green websites
heritage communication
heritage management
IEEE 830 standard
Instagram
intangible heritage
interactive documentary
journalism
Katharevousa
literary fiction
marine heritage
marine protected areas of outstanding universal value
media users' engagement
metadata extraction
multimedia tools
n/a
news
POCITYF
relation extraction
requirements engineering
semantic analysis
semantic audio
semantic indexing
smart cities
social media
software sustainability
soundscapes
spectral clustering
static analysis
sustainability
text classification
TextRank
Transformers
Twitter
UNESCO
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557613403321
Dimoulas Charalampos  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Health and Public Health Applications for Decision Support Using Machine Learning
Health and Public Health Applications for Decision Support Using Machine Learning
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2023
Descrizione fisica 1 online resource (214 p.)
Soggetto non controllato action units
adult-onset dementia
Alzheimer's disease
artificial intelligence
artificial neural network
atherosclerosis
audio visual
blood glucose
Cardiac health
ChemProt
colonies
comparison between manual and automated image segmentation
computerized diagnostic systems
convolutional neural network
COVID-19
COVID-19 detection
COVID-19 severity assessment
CPR (chemical-protein relation)
CVD classification
data selection
DDI (drug-drug interaction)
deep learning
deep neural network
diabetes
discrimination
Doppler ultrasound
ECG
emotion
ensemble learning
gait
GAT (graph-attention network)
group-based trajectory modeling
hemodynamic modeling
image processing
infected lung segmentation
internal carotid artery
largest Lyapunov exponent (LyE)
machine learning
machine-learning models
magnetic resonance imaging
Measurement uncertainty
Monte Carlo method
movement synergy
n/a
neural networks
neuromuscular control
overground walking
petri-plates
pretrained model
principal component analysis (PCA)
quantification of lung disease severity
relation extraction
risk assessment tool
RNN-LSTM
screening strategy
self-attention
signal processing
speech
stress
stroke
subclinical renal damage
T5 (text-to-text transfer transformer)
time-series forecasting
transfer learning
transformer
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743269303321
MDPI - Multidisciplinary Digital Publishing Institute, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Natural Language Processing: Emerging Neural Approaches and Applications
Natural Language Processing: Emerging Neural Approaches and Applications
Autore Esposito Massimo
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (544 p.)
Soggetto topico Computer science
Information technology industries
Soggetto non controllato adversarial attack
adversarial example
antonymy detection
attention mechanism
attention model
BERT
BERT word embedding
bidirectional long short-term memory (bidirectional LSTM)
bidirectional LSTM CRF
bidirectional RNN
bilingual translation
BM25
Cantonese
causal encoder
chief complaint
classification
clinical named entity recognition
cloze test
CNN dictionary
commonsense
conditional random field
CoNLL
context-to-entity attention
contextual features
conversation knowledge
convolutional neural networks
convolutional neural networks (CNN)
cross-lingual classification
deep learning
deep learning (DL)
deep learning NER
deep neural networks
delayed combination
dialogue context encoding
dialogue management
disease diagnosis
Doc2vec
dual pointer network
encoder-decoder neural network
encodings
entity recognition
error assessment
error probability
FAQ classification
fixing ontologies
information extraction
knowledge base
Korean dataset
Korean syntax
language modeling
LaTeX decompilation
logic error
long short-term memory
long short-term memory network
LSTM
machine comprehension
medical specialist
multi-agent reinforcement learning
multi-level word embeddings
multi-turn chatbot
multilingual
multilingual transformers
multitask model
n/a
named entity recognition
natural language processing
Natural Language Processing (NLP)
neural architecture search
neural language model
neural network
neural networks
news analysis
NLP
online social networks
ontologies
OntoNotes
open information extraction
paraphrase identification
partial match
polarity
primary healthcare
programming education
protein-protein interactions
quality metrics
question classification
quick fix
R-GCNs
recurrent neural networks
reinforce learning
relation extraction
reward shaping
rule-based
rumor detection
sememe prediction
sememes
sentence completion
sentence retrieval
sentiment analysis
sentiment classification
sequence similarity
speech-to-text
spoken natural language
structural information
text classification
text mining
text normalization
text summary
TF−ISF
tourism big data
toxic comments
transfer learning
user simulation
virtual medical assistant
WGAN-based response generation
word embedding
word embeddings
word ordering
word representation learning
word to vector
word2vec
XGA model
zero-shot learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Natural Language Processing
Record Nr. UNINA-9910566478103321
Esposito Massimo  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui