Neural information processing Part 3

Gespeichert in:
Bibliographische Detailangaben
Körperschaft: ICONIP (VerfasserIn)
Weitere Verfasser: Yang, Haiqin (HerausgeberIn), Pasupa, Kitsuchart (HerausgeberIn), Leung, Chi-Sing Andrew (HerausgeberIn), Kwok, James T. (HerausgeberIn), Chan, Jonathan H. (HerausgeberIn), King, Irwin (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2020
Schriftenreihe:Lecture notes in computer science 12534
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Titel Jahr Verfasser
Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli 2020 Abbasi, Nida Itrat
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction 2020 Peng, Keqin
Transfer Dataset in Image Segmentation Use Case 2020 Wróblewska, Anna
Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function 2020 Lu, Wenhao
Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding 2020 Song, Shiming
Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model 2020 Przewięźlikowski, Marcin
Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition 2020 Brewer, Madeline
Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding 2020 Turkson, Regina Esi
DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence 2020 Zeng, Jun
Feature Aware and Bilinear Feature Equal Interaction Network for Click-Through Rate Prediction 2020 Luo, Lang
Benchmarking Adversarial Attacks and Defenses for Time-Series Data 2020 Siddiqui, Shoaib Ahmed
A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features 2020 Chen, Tianyi
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting 2020 Dabrowski, Joel Janek
DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction 2020 Shan, Shajia
SpringNet: Transformer and Spring DTW for Time Series Forecasting 2020 Lin, Yang
U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs 2020 Yang, Shenglan
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength 2020 Asim, Muhammad Nabeel
Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography 2020 Mehrgardt, Philip
Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition 2020 Tabarisaadi, Pegah
Are Deep Neural Architectures Losing Information? Invertibility is Indispensable 2020 Liu, Yang
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