Adversarial Machine Learning
On the security relevance of initial weights in deep neural networks
Fractal Residual Network for Face Image Super-Resolution
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders
Generating Adversarial Texts for Recurrent Neural Networks
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation
Computational Analysis of Robustness in Neural Network Classifiers
Bioinformatics and Biosignal Analysis
Convolutional neural networks with reusable full-dimension-long layers for feature selection and classification of motor imagery in EEG signals
Compressing Genomic Sequences by Using Deep Learning
Learning Tn5 sequence bias from ATAC-seq on naked chromatin
Tucker tensor decomposition of multi-session EEG data
Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models
Cognitive Models
Investigating Efficient Learning and Compositionality in Generative LSTM Networks
Fostering Event Compression using Gated Surprise
Physiologically-inspired Neural Circuits for the Recognition of Dynamic Faces
Hierarchical Modeling with Neurodynamical Agglomerative Analysis
Convolutional Neural Networks and Kernel Methods
Deep and Wide Neural Networks Covariance Estimation
Monotone deep Spectrum Kernels
Permutation Learning in Convolutional Neural Networks for Time Series Analysis
Deep Learning Applications I
GTFNet: Ground Truth Fitting Network for Crowd Counting
Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-Learning
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders
Deep Learning Applications II
Novel Sketch-based 3D Model Retrieval via Cross-domain Feature Clustering and Matching
Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search
DeepED: a Deep Learning Framework for Estimating Evolutionary Distances
Interpretable Machine Learning Structure for an Early Prediction of Lane Changes
Explainable Methods
Convex Density Constraints for Computing Plausible Counterfactual Explanations
Identifying Critical States by the Action-Based Variance of Expected Return
Explaining Concept Drift by Means of Direction
Few-shot Learning
Context Adaptive Metric Model for Meta-Learning
Ensemble-Based Deep Metric Learning for Few-Shot Learning
More Attentional Local Descriptors for Few-shot Learning
Implementation of Siamese-based Few-shot Learning Algorithms for the Distinction of COPD and Asthma Subjects
Few-Shot Learning for Medical Image Classification
Generative Adversarial Network
Adversarial Defense via Attention-based Randomized Smoothing
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
Unsupervised Anomaly Detection with a GAN Augmented Autoencoder
An Efficient Blurring-Reconstruction Model to Defend against Adversarial Attacks
EdgeAugment: Data Augmentation by Fusing and Filling Edge Map
Face Anti-spoofing with a Noise-Attention Network Using Color-Channel Difference Images
Generative and Graph Models
Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech
Improved Classification Based on Deep Belief Networks
Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data
Inferring, Predicting, and Denoising Causal Wave Dynamics
PART-GAN: Privacy-Preserving Time-Series Sharing
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
Hybrid Neural-symbolic Architectures
Facial Expression Recognition Method based on a Part-based Temporal Convolutional Network with a Graph-Structured Representation
Generating Facial Expressions Associated with Text
Image Processing
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)
SOM-based System for Sequence Chunking and Planning
Bilinear Models for Machine Learning
Enriched Feature Representation and Combination for Deep Saliency Detection
Spectral Graph Reasoning Network for Hyperspectral Image Classification
Salient Object Detection with Edge Recalibration
Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition
A New Efficient Finger-Vein Verification Based on Lightweight Neural Network Using Multiple Schemes
Medical Image Processing
SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation
Synthesis of Registered Multimodal Medical Images with Lesions
ACE-Net: Adaptive Context Extraction Network for Medical Image Segmentation
Wavelet U-Net for Medical Image Segmentation
Recurrent Neural Networks
Character-based LSTM-CRF with semantic features for Chinese Event Element Recognition
Sequence Prediction using Spectral RNNs
Attention Based Mechanism for Energy Load Time Series Forecasting: AN-LSTM
DartsReNet: Exploring new RNN cells in ReNet architectures
On Multi-modal Fusion for Freehand Gesture Recognition
Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data.