E-grāmata: Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part X

A Comparative Study of Sentence Embedding Models for Assessing Semantic
Variation.- A Deep Learning based Method for Generating Holographic Acoustic
Fields from Phased Transducer Arrays.- A Depth-guided Attention Strategy for
Crowd Counting.- A Noise Convolution Network for Tampering
Detection.- Attention-based Feature Interaction Deep Factorization Machine
for CTR Prediction.- Block-level Stiffness Analysis of Residual
Networks.- CKNA: Kernel Hyperparameters Optimization Method for Group-wise
CNNs.- Conditional Convolution Residual Network for Efficient
Super-Resolution.- Cross Attention with Deep Local Features for Few-shot
Image Classification.- Deep Video Compression Based on 3D Convolution
Artifacts Removal and Attention Compression Module.- Deep-learning Based
Three Channel Defocused Projection Profilometry.- Depthwise Convolution with
Channel Mixer: Rethinking MLP in MetaFormer for Faster and More Accurate
Vehicle Detection.- DLUIO: Detecting Useful Investor Opinions by Deep
Learning.- Dynamic obstacle avoidance for unmanned aerial vehicle using
dynamic vision sensor.- Empirical Study on the Effect of Residual Networks on
the Expressiveness of Linear Regions.- Energy Complexity Model for
Convolutional Neural Networks.- Enhancing the Interpretability of Deep
Multi-Agent Reinforcement Learning via Neural Logic Reasoning.- Evidential
Robust Deep Learning for Noisy Text2text Question Classification.- FBPFormer:
Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty
Prediction.- Heavy-Tailed Regularization of Weight Matrices in Deep Neural
Networks.- Interaction of Generalization and Out-of-Distribution Detection
Capabilities in Deep Neural Networks.- Long-distance Pipeline Intrusion
Warning Based on Environment Embedding From Distributed Optical Fiber
Sensing.- LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural
Network for Gait Recognition.- MADNet: EEG-based Depression Detection using a
Deep Convolution Neural Network Framework with Multi-dimensional
Attention.- Maintenance automation using deep learning methods a case study
from the aerospace industry.- MCASleepNet: Multimodal channel attention-based
deep neural network for automatic sleep staging.- Multi-label Image Deep
Hashing with Hybrid Loss of Global Center and Local
Alignment.- Multi-relation Representation Learning based Deep Network for
Patent Classification.- One Hip Wonder: 1D-CNNs Reduce Sensor Requirements
for Everyday Gait Analysis.- Patches Channel Attention For Human Sitting
Posture Recognition.- RA-Net: A Deep Learning Approach based on Residual
Structure and Attention Mechanism for Image Copy-move Forgery
Detection.- Rethinking CNN Architectures in Transformer
Detectors.- Robustness of Biologically-inspired filter-based ConvNet to
Signal Perturbation.- Self-Supervised Graph Convolution for Video Moment
Retrieval.- Siamese Network based on MLP and Multi-head Cross Attention for
Visual Object Tracking.- Taper Residual Dense Network for Audio
Super-Resolution.- VPNDroid: Malicious Android VPN detection using a CNN-RF
method.- Who breaks early, looses: goal oriented training of deep neural
networks based on port Hamiltonian dynamics.- BLR:A multi-modal sentiment
analysis model.- Detecting Negative Sentiment on Sarcastic Tweets for
Sentiment Analysis.- Local or Global: The Variation in the Encoding of Style
Across Sentiment and Formality.- Prompt-oriented Fine-tuning Dual Bert for
Aspect-Based Sentiment Analysis.- Towards Energy-Efficient Sentiment
Classification with Spiking Neural Networks.- Using Masked Language Modeling
to Enhance BERT-based Aspect-Based Sentiment Analysis for Affective Token
Prediction.