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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
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 electronic resource (544 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
tourism big data
text mining NLP deep learning clinical named entity recognition information extraction multitask model long short-term memory conditional random field relation extraction entity recognition long short-term memory network multi-turn chatbot dialogue context encoding WGAN-based response generation BERT word embedding text summary reinforce learning FAQ classification encoder-decoder neural network multi-level word embeddings BERT bidirectional RNN cloze test Korean dataset machine comprehension neural language model sentence completion primary healthcare chief complaint virtual medical assistant spoken natural language disease diagnosis medical specialist protein-protein interactions deep learning (DL) convolutional neural networks (CNN) bidirectional long short-term memory (bidirectional LSTM) dialogue management user simulation reward shaping conversation knowledge multi-agent reinforcement learning language modeling classification error probability error assessment logic error neural network LSTM attention mechanism programming education neural architecture search word ordering Korean syntax adversarial attack adversarial example sentiment classification dual pointer network context-to-entity attention text classification rule-based word embedding Doc2vec paraphrase identification encodings R-GCNs contextual features sentence retrieval TF−ISF BM25 partial match sequence similarity word to vector word embeddings antonymy detection polarity text normalization natural language processing deep neural networks causal encoder question classification multilingual convolutional neural networks Natural Language Processing (NLP) transfer learning open information extraction recurrent neural networks bilingual translation speech-to-text LaTeX decompilation word representation learning word2vec sememes structural information sentiment analysis zero-shot learning news analysis cross-lingual classification multilingual transformers knowledge base commonsense sememe prediction attention model ontologies fixing ontologies quick fix quality metrics online social networks rumor detection Cantonese XGA model delayed combination CNN dictionary named entity recognition deep learning NER bidirectional LSTM CRF CoNLL OntoNotes toxic comments neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Natural Language Processing |
| Record Nr. | UNINA-9910566478103321 |
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Esposito Massimo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 electronic resource (152 p.) |
| Soggetto non controllato |
opinion mining
affect computing health insurance hybrid vectorization violence against women word association collaborative schemes of sentiment analysis and sentiment systems random forest cyber-aggression deep learning online review emotion analysis lexicon construction provider networks text mining sentiment lexicon social media sentiment-aware word embedding psychographic segmentation medical web forum gender classification racism sentiment analysis sentiment classification sentiment word analysis social networks convolutional neural network review data mining machine learning emotion classification big data-driven marketing text feature representation recommender system user preference prediction violence based on sexual orientation semantic networks |
| ISBN | 3-03928-573-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404092303321 |
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Moreno Antonio
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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