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Neural Information Processing 27th International Conference ICONIP 2020 Bangkok Thailand November 23 27 2020 Proceedings Part III 1st Edition by Haiqin Yang, Kitsuchart Pasupa, Andrew Chi Sing Leung, James T Kwok, Jonathan H Chan, Irwin King ISBN 3030638359 978-3030638351
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Neural Information Processing 27th International Conference ICONIP 2020 Bangkok Thailand November 23 27 2020 Proceedings Part III Haiqin Yang Digital Instant Download
ISBN(s): 9783030638351, 9783030638368, 3030638359, 3030638367
Edition: 1st ed.
File Details: PDF, 68.07 MB
Year: 2020
Language: English
Neural Information Processing 27th International Conference ICONIP 2020 Bangkok Thailand November 23 27 2020 Proceedings Part III 1st Edition by Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King – Ebook PDF Instant Download/Delivery: 3030638359, 978-3030638351
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Product details:
ISBN 10: 3030638359
ISBN 13: 978-3030638351
Author: Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually.
The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 12534, is organized in topical sections on biomedical information; neural data analysis; neural network models; recommender systems; time series analysis.
Table of contents:
- Biomedical Information
- Classification of Neuroblastoma Histopathological Images Using Machine Learning
- Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer
- Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss
- Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength
- Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography
- Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction
- Neural Data Analysis
- Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli
- Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution
- Inter and Intra Individual Variations of Cortical Functional Boundaries Depending on Brain States
- Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals
- The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods
- Transfer Dataset in Image Segmentation Use Case
- Neural Network Models
- A Gaussian Process-Based Incremental Neural Network for Online Regression
- Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function
- Are Deep Neural Architectures Losing Information? Invertibility is Indispensable
- Automatic Dropout for Deep Neural Networks
- Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition
- Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding
- Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model
- Environmentally-Friendly Metrics for Evaluating the Performance of Deep Learning Models and Systems
- Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals
- Iterative Imputation of Missing Data Using Auto-Encoder Dynamics
- Multi-objective Evolution for Deep Neural Network Architecture Search
- Neural Architecture Search for Extreme Multi-label Text Classification
- Non-linear ICA Based on Cramer-Wold Metric
- Oblique Random Forests on Residual Network Features
- P2ExNet: Patch-Based Prototype Explanation Network
- Prediction of Taxi Demand Based on CNN-BiLSTM-Attention Neural Network
- Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition
- Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding
- VAEPP: Variational Autoencoder with a Pull-Back Prior
- Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work?
- Recommender Systems
- AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data
- Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering
- DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence
- Feature Aware and Bilinear Feature Equal Interaction Network for Click-Through Rate Prediction
- GFEN: Graph Feature Extract Network for Click-Through Rate Prediction
- JUST-BPR: Identify Implicit Friends with Jump and Stay for Social Recommendation
- Leveraging Knowledge Context Information to Enhance Personalized Recommendation
- LHRM: A LBS Based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform
- Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with the Matching Task
- Multi-level Feature Extraction in Time-Weighted Graphical Session-Based Recommendation
- Time Series Analysis
- 3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting
- A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features
- Benchmarking Adversarial Attacks and Defenses for Time-Series Data
- Correlation-Aware Change-Point Detection via Graph Neural Networks
- DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction
- ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting
- Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear Approximation
- Sensor Drift Compensation Using Robust Classification Method
- SpringNet: Transformer and Spring DTW for Time Series Forecasting
- U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs
- Back Matter
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Tags: Haiqin Yang, Kitsuchart Pasupa, Andrew Chi Sing Leung, James T Kwok, Jonathan H Chan, Irwin King, Neural Information Processing, ICONIP 2020, Bangkok, Thailand, Proceedings, Part III
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