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Artificial Intelligence for Multimedia Signal Processing
Artificial Intelligence for Multimedia Signal Processing
Autore Kim Byung-Gyu
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (212 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato human-height estimation
depth video
depth 3D conversion
artificial intelligence
convolutional neural networks
deep neural network
convolutional neural network
environmental sound recognition
feature combination
multimodal joint representation
content curation social networks
different recommend tasks
content based recommend systems
scene/place classification
semantic segmentation
deep learning
weighting matrix
speech enhancement
generative adversarial network
relativistic GAN
lightweight neural network
single image super-resolution
image enhancement
image restoration
residual dense networks
visual sentiment analysis
sentiment classification
graph convolutional networks
generative adversarial networks
traffic surveillance image processing
image de-raining
fluency evaluation
speech recognition
data augmentation
variational autoencoder
speech conversion
heartbeat classification
convolutional neural network (CNN)
canonical correlation analysis (CCA)
Indian Sign Language (ISL)
natural language processing
avatar
sign movement
context-free grammar
object detection
logical story unit detection (LSU)
object re-ID
computer vision
image processing
single image artifacts reduction
dense networks
residual networks
channel attention networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595077003321
Kim Byung-Gyu  
Basel, : MDPI Books, 2022
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
Sentiment Analysis for Social Media
Sentiment Analysis for Social Media
Autore Moreno Antonio
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (152 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato affect computing
big data-driven marketing
collaborative schemes of sentiment analysis and sentiment systems
convolutional neural network
cyber-aggression
deep learning
emotion analysis
emotion classification
gender classification
health insurance
hybrid vectorization
lexicon construction
machine learning
medical web forum
online review
opinion mining
provider networks
psychographic segmentation
racism
random forest
recommender system
review data mining
semantic networks
sentiment analysis
sentiment classification
sentiment lexicon
sentiment word analysis
sentiment-aware word embedding
social media
social networks
text feature representation
text mining
Twitter
user preference prediction
violence against women
violence based on sexual orientation
word association
ISBN 3-03928-573-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404092303321
Moreno Antonio  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui