Maurizio Taiuti

Artificial Neural Networks And Machine Learning - Icann 2021: 30Th Internat...

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Artificial Neural Networks And Machine Learning - Icann 2021: 30Th International Conference On Artificial Neural Networks, Bratislava, Slovakia, SepteISBN13:9783030863821ISBN10:3030863824Author:Farkas, Igor (Editor), Masulli, Paolo (Editor), Otte, Sebastian (Editor)Description:Representation Learning - Sagedy: A Novel Sampling And Aggregating Based Representation Learning Approach For Dynamic Networks - Curl: Coupled Representation Learning Of Cards And Merchants To Detect Transaction Frauds - Revisiting Loss Functions For Person Re-Identification - Statistical Characteristics Of Deep Representations: An Empirical Investigation - Reservoir Computing - Unsupervised Pretraining Of Echo State Networks For Onset Detection - Canary Song Decoder: Transduction And Implicit Segmentation With Esns And Ltsms - Which Hype For My New Task? Hints And Random Search For Echo State Networks Hyperparameters - Semi- And Unsupervised Learning - A New Nearest Neighbor Median Shift Clustering For Binary Data - Self-Supervised Multi-View Clustering For Unsupervised Image Segmentation - Evaluate Pseudo Labeling And Cnn For Multi-Variate Time Series Classification In Low-Data Regimes - Deep Variational Autoencoder With Shallow Parallel Path For Top-N Recommendation (Vasp) - Short Text Clustering With A Deep Multi-Embedded Self-Supervised Model - Brain-Like Approaches To Unsupervised Learning Of Hidden Representations - A Comparative Study - Spiking Neural Networks - A Subthreshold Spiking Neuron Circuit Based On The Izhikevich Model - Siamsnn: Siamese Spiking Neural Networks For Energy-Efficient Object Tracking - The Principle Of Weight Divergence Facilitation For Unsupervised Pattern Recognition In Spiking Neural Networks - Algorithm For 3D-Chemotaxis Using Spiking Neural Network - Signal Denoising With Recurrent Spiking Neural Networks And Active Tuning - Dynamic Action Inference With Recurrent Spiking Neural Networks - End-To-End Spiking Neural Network For Speech Recognition Using Resonating Input Neurons - Text Understanding I - Visual-Textual Semantic Alignment Network For Visual Question Answering - Which And Where To Focus: A Simple Yet Accurate Framework For Arbitrary-Shaped Nearby Text Detection In Scene Images - Stcp: An Efficient Model Combing Subject Triples And Constituency Parsing For Recognizing Textual Entailment - A Latent Variable Model With Hierarchical Structure And Gpt-2 For Long Text Generation - A Scoring Model Assisted By Frequency For Multi-Document Summarization - A Strategy For Referential Problem In Low-Resource Neural Machine Translation - A Unified Summarization Model With Semantic Guide And Keyword Coverage Mechanism - Hierarchical Lexicon Embedding Architecture For Chinese Named Entity Recognition - Evidence Augment For Multiple-Choice Machine Reading Comprehension By Weak Supervision - Resolving Ambiguity In Hedge Detection By Automatic Generation Of Linguistic Rules - Text Understanding Ii - Detecting Scarce Emotions Using Bert And Hyperparameter Optimization - Design And Evaluation Of Deep Learning Models For Real-Time Credibility Assessment In Twitter - T-Bert: A Spam Review Detection Model Combining Group Intelligence And Personalized Sentiment Information - Graph Enhanced Bert For Stance-Aware Rumor Verification On Social Media - Deep Learning For Suicide And Depression Identification With Unsupervised Label Correction - Learning To Remove: Towards Isotropic Pre-Trained Bert Embedding - Exbert: An External Knowledge Enhanced Bert For Natural Language Inference - Multi-Features-Based Automatic Clinical Coding For Chinese Icd-9-Cm-3 - Style As Sentiment Versus Style As Formality: The Same Or Different? - Transfer And Meta Learning - Low-Resource Neural Machine Translation Using Xlnet Pre-Training Model - Self-Learning For Received Signal Strength Mapreconstruction With Neural Architecture Search - Propagation-Aware Social Recommendation By Transfer Learning - Evaluation Of Transfer Learning For Visual Road Condition Assessment - Epe-Nas: Efficient Performance Estimation Without Training For Neural Architecture Search - Dvamn: Dual Visual Attention Matching Network For Zero-Shot Action Recognition - Dynamic Tuning And Binding:Paperback, PaperbackPublisher:SpringerPublication Date:2021-09-11Weight:2.18 lbsDimensions:1.44'' H x 9.21'' L x 6.14'' WNumber of Pages:720Language:English

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Book Title: Artificial Neural Networks And Machine Learning - Icann 2021...

Item Length: 9.3in

Item Width: 6.1in

Author: Paolo Masulli

Publication Name: Artificial Neural Networks and Machine Learning - ICANN 2021 : 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V

Format: Trade Paperback

Language: English

Publisher: Springer International Publishing A&G

Publication Year: 2021

Series: Theoretical Computer Science and General Issues Ser.

Type: Textbook

Item Weight: 38.3 Oz

Number of Pages: Xxiv, 693 Pages

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