yusuke1997/dblp-id-title huggingface dataset:
Basic Evaluation Scenarios for Incrementally Trained Classifiers
Spatially Invariant and Frequency-Aware CycleGAN for Unsupervised MR-to-CT Synthesis
A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data
Learning to Control at Multiple Time Scales
Graph Federated Learning Based on the Decentralized Framework
A Model of Horizontal 360° Object Localization Based on Binaural Hearing and Monocular Vision
Visible-Infrared Person Re-identification via Modality Augmentation and Center Constraints
Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers
Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III
Reservoir Topology in Deep Echo State Networks
Deep Semantic Asymmetric Hashing
Attention Awareness Multiple Instance Neural Network
Natural Conjugate Gradient Training of Multilayer Perceptrons
Semi-Supervised Learning Classifier for Misinformation Related to Earthquakes Prediction on Social Media
Using Correlation Dimension for Analysing Text Data
Separating Global Motion Components in Transparent Visual Stimuli - A Phenomenological Analysis
Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data
Resolving Ambiguity in Hedge Detection by Automatic Generation of Linguistic Rules
Heterogeneous Forests of Decision Trees
ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records Through ICD Path Generation
A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders
Kernel Graph Convolutional Neural Networks
Multi-stage Algorithm Based on Neural Network Committee for Prediction and Search for Precursors in Multi-dimensional Time Series
A Boosting Algorithm for Regression
Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression
Complementing Language Embeddings with Knowledge Bases for Specific Domains
Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks
TF-CL: Time Series Forcasting Based on Time-Frequency Domain Contrastive Learning
Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics
Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization
Multi-relation Representation Learning Based Deep Network for Patent Classification
Mol-CycleGAN - A Generative Model for Molecular Optimization
AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework
A Hardware/Software Framework for Real-Time Spiking Systems
A Comparison of Different Initialization Strategies to Reduce the Training Time of Support Vector Machines
Manifold Constrained Variational Mixtures
Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN
Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization
Demand-Responsive Transport Dynamic Scheduling Optimization Based on Multi-agent Reinforcement Learning Under Mixed Demand
A Directional Laplacian Density for Underdetermined Audio Source Separation
Synaptic Formation Rate as a Control Parameter in a Model for the Ontogenesis of Retinotopy
Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems
Collective Dynamics of a System of Adaptive Velocity Channels
Neural Architecture Search for Low-Precision Neural Networks
NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems
Adaptable Neural Networks for Objects' Tracking Re-initialization
Classification of Categorical Data in the Feature Space of Monotone DNFs
Recognition of Properties by Probabilistic Neural Networks
Formal Determination of Context in Contextual Recursive Cascade Correlation Networks
Multimodal Sentiment Analysis with Parallel Attention and Correlation Fusion
Physical Adversarial Attacks by Projecting Perturbations
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification
Random Neural Network Recognition of Shaped Objects in Strong Clutter
Neuro-Spectral Audio Synthesis: Exploiting Characteristics of the Discrete Fourier Transform in the Real-Time Simulation of Musical Instruments Using Parallel Neural Networks
Object-Level Salience Detection by Progressively Enhanced Network
Robust Navigation for Unmanned Surface Vehicle Utilizing Improved Distributional Soft Actor-Critic
Attention-Based Multi-view Feature Fusion for Cross-Domain Recommendation
Robust Estimator for the Learning Process in Neural Networks Applied in Time Series
Acquiring and Classifying Signals from Nanopores and Ion-Channels
Testing the Random Walk Hypothesis with Neural Networks
Modeling Action Verb Semantics Using Motion Tracking
Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks
Social Navigation with Human Empowerment Driven Deep Reinforcement Learning
Response Properties to Inputs of Memory Pattern Fragments in Three Types of Chaotic Neural Network Models
Iris Recognition for Biometric Personal Identification Using Neural Networks
DeepCTL: Neural Branching-Time CTL Satisfiability Checking via Recursive Decision Trees
Self-learning for Received Signal Strength Map Reconstruction with Neural Architecture Search
The GCS Kernel for SVM-Based Image Recognition
Convergences of the Kohonen Maps: A Dynamical System Approach
Detection of Failures in Civil Structures Using Artificial Neural Networks
Neural Field Dynamics for Motion Perception
A Spatio-Temporal Learning Rule Based on the Physiological Data of LTP Induction in the Hippocampal CA1 Network
Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model
Analysis and Improvement of Neural Network Robustness for On-Board Satellite Image Processing
Using an Autoencoder for Dimensionality Reduction in Quantum Dynamics
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers
Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces
Self Pruning Gaussian Synapse Networks for Behavior Based Robots
Spectral Measures for Kernel Matrices Comparison
Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution
A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory
Boosting Unsupervised Competitive Learning Ensembles
Empirical Study of the Universum SVM Learning for High-Dimensional Data
A Global-Local Artificial Neural Network with Application to Wave Overtopping Prediction
A Neural Oscillator Model of Auditory Attention
An Empirical Study on the Performance of Spectral Manifold Learning Techniques
Dual Adaptive ANN Controllers Based on Wiener Models for Controlling Stable Nonlinear Systems
Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors
A CA 2+ Dynamics Model of the STDP Symmetry-to-Asymmetry Transition in the CA1 Pyramidal Cell of the Hippocampus
Finding Faces in Cluttered Still Images with Few Examples
Adaptive Randomized Graph Neural Network Based on Markov Diffusion Kernel
Separating EEG Spike-Clusters in Epilepsy by a Growing and Splitting Net
Electricity Load Forecasting Using Self Organizing Maps
Diversifying Non-dissipative Reservoir Computing Dynamics
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Regularised Loss Function for Goal Recognition as a Deep Learning Task
Embedded Neural Network for Swarm Learning of Physical Robots
A Neuron Coverage-Based Self-organizing Approach for RBFNNs in Multi-class Classification Tasks
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data
Binding - A Proposed Experiment and a Model
Check Regularization: Combining Modularity and Elasticity for Memory Consolidation
Semi-Blind Source Parameter Separation
Short Term Memories and Forcing the Re-use of Knowledge for Generalization
Neural Network Architecture Selection: Size Depends on Function Complexity
The SAND Neurochip and Its Embedding in the MiND System
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
Rapid Correspondence Finding in Networks of Cortical Columns
The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks
Wiener Type SOM- and MLP-classifiers for Recognition of Dynamic Modes
Category-Guided Localization Network for Visual Sound Source Separation
Reinforcement Learning with Echo State Networks
Multi-label Image Deep Hashing with Hybrid Loss of Global Center and Local Alignment
Kernel Regression Based Short-Term Load Forecasting
Unsupervised Pretraining of Echo State Networks for Onset Detection
An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process
Multi-resolution Graph Neural Networks for PDE Approximation
Towards Human Friendly Data Mining: Linguistic Data Summaries and Their Protoforms
Neural Networks Simulation of Distributed Control Problems with State and Control Constraints
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition
Improving the Prediction Accuracy of Echo State Neural Networks by Anti-Oja's Learning
Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays
The Grouped Author-Topic Model for Unsupervised Entity Resolution
Tree-Dependent Components of Gene Expression Data for Clustering
Almost Random Projection Machine with Margin Maximization and Kernel Features
Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural Networks
Differential ICA
Addressing Contradiction Between Reconstruction and Correlation Maximization in Deep Canonical Correlation Autoencoders
Modeling Psychological Stereotypes in Self-Organizing Maps
Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling
Can Neural Networks Learn the "Head and Shoulders" Technical Analysis Price Pattern? Towards a Methodology for Testing the Efficient Market Hypothesis
Development of Automated Diagnostic System for Skin Cancer: Performance Analysis of Neural Network Learning Algorithms for Classification
Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates
Adaptive Thresholds for Layered Neural Networks with Synaptic Noise
Fuzzy Rule Extraction Using Recombined RecBF for Very-Imbalanced Datasets
Continual Learning for Fake News Detection from Social Media
Spatio-temporal Filter Adjustment from Evaluative Feedback for a Retina Implant
Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences
RegionRel: A Framework for Jointly Extracting Relational Triplets by Performing Sub-tasks by Region
Second-Order (Non-Fourier) Attention-Based Face Detection
Nature vs. Nurture in the Development of Tangential Connections and Functional Maps in the Visual Cortex
Improved SOM Learning Using Simulated Annealing
Energy Complexity Model for Convolutional Neural Networks
A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps
Neural Nets for Short Movements in Natural Language Processing
Neural Network Based Data Fusion for Hand Pose Recognition with Multiple ToF Sensors
Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns
Unsupervised - Neural Network Approach for Efficient Video Description
Medical Document Categorization Using a Priori Knowledge
Generative Chain-of-Thought for Zero-Shot Cognitive Reasoning
Joint Demosaicing and Denoising with Frequency Domain Features
A Recurrent Attention Network for Judgment Prediction
A Bio-inspired Connectionist Approach for Motion Description Through Sequences of Images
ROC Analysis as a Useful Tool for Performance Evaluation of Artificial Neural Networks
MetaAudio: A Few-Shot Audio Classification Benchmark
Image Compression by Vector Quantization with Recurrent Discrete Networks
Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited
Discriminative Fast Soft Competitive Learning
Learning Traffic as Videos: A Spatio-Temporal VAE Approach for Traffic Data Imputation
Protein Structural Blocks Representation and Search through Unsupervised NN
Support Vector Machine for Recognition of Bio-products in Gasoline
Breaking the Corpus Bottleneck for Multi-dialect Speech Recognition with Flexible Adapters
Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity
Circular Back-Propagation Networks for Measuring Displayed Image Quality
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
Ensemble Ranking for Image Retrieval via Deep Hash
Processing of Information in Synchroneously Firing Chains in Networks of Neurons
Latent-Conditioned Equivariant Diffusion for Structure-Based De Novo Ligand Generation
Phase Control of Coupled Neuron Oscillators
SECaps: A Sequence Enhanced Capsule Model for Charge Prediction
A New Methodology to Exploit Predictive Power in (Open, High, Low, Close) Data
Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation
KANLoc: WiFi Localization with A Lightweight KAN
Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing
Automated and Explainable Ontology Extension based on Deep Learning: A Case Study in the Chemical Domain
Morphological Neural Networks and Vision Based Mobile Robot Navigation
Learning Oscillations Using Adaptive Control
Relevance-Aware Q-matrix Calibration for Knowledge Tracing
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
Parallel Relationship Graph to Improve Multi-Document Summarization
Explicit Class Structure by Weighted Cooperative Learning
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations
Comparative Evaluation of Regression Methods for 3D-2D Image Registration
Noise-Induced Collective Migration for Neural Crest Cells
Selective Sampling Methods in One-Class Classification Problems
A Taxonomy of Recurrent Learning Rules
Knowledge Graph Transformer for Sequential Recommendation
Day-Ahead Scenario Analysis of Wind Power Based on ICGAN and IDTW-Kmedoids
A Control Approach to a Biophysical Neuron Model
Associative Graph Data Structures Used for Acceleration of K Nearest Neighbor Classifiers
Adaptive, Neural Robot Control - Path Planning on 3D Spiking Neural Networks
Multimodal Cross-Attention Graph Network for Desire Detection
Action Recognition in Surveillance Video Using ConvNets and Motion History Image
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval
Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer
Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations
Incremental Recommendation Algorithm Based on the Influence Propagation Model
A Knowledge-Driven Enhanced Module for Visible-Infrared Person Re-identification
Improving Neural Networks Classification through Chaining
A Differentiable Architecture Search Approach for Few-Shot Image Classification
Residual Activity in the Neurons Allows SOMs to Learn Temporal Order
Bilateral Mammogram Mass Detection Based on Window Cross Attention
Puncturing Multi-class Support Vector Machines
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation
Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks
The Effective VC Dimension of the n-tuple Classifier
Sliding Mode Algorithm for Online Learning in Analog Multilayer Feedforward Neural Networks
Brain Generative Replay for Continual Learning
Teaching Humanoids to Imitate 'Shapes' of Movements
Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties
An Attention Module for Convolutional Neural Networks
Real-Time Analog VLSI Sensors for 2-D Direction of Motion
Attractor Neural Networks with Hypercolumns
Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control
Clustering Quality and Topology Preservation in Fast Learning SOMs
Multi-scale Field Distillation for Multi-task Semantic Segmentation
Classifying the Wear of Turning Tools with Neural Networks
Influence of Saliency and Social Impairments on the Development of Intention Recognition
Multi-scale Feature Extraction and Fusion for Online Knowledge Distillation
Improved Classification Based on Deep Belief Networks
Contrast and Aggregation Network for Generalized Zero-shot Learning
Lifelong Sentiment Classification Based on Adaptive Parameter Updating
Modeling the Effects of Dopamine on the Antisaccade Reaction Times (aSRT) of Schizophrenia Patients
Weighted Mutual Information for Feature Selection
Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification
Neuronal Multistability Induced by Delay
Let Multi-classification Help Deep Imbalanced Regression
Continual Learning by Task-Wise Shared Hidden Representation Alignment
Improved Kernel Based Intrusion Detection System
A Model for Detection of Angular Velocity of Image Motion Based on the Temporal Tuning of the Drosophila
Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings
Image Segmentation by Complex-Valued Units
Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions
Text Visual Question Answering Based on Interactive Learning and Relationship Modeling
Adaptive Compression of the Latent Space in Variational Autoencoders
NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images
Optimizing Property Codes in Protein Data Reveals Structural Characteristics
CM-MNet: A Coordinate Space-Aware Mamba-Based Multi-task Model for 3D Fine Lesions in Elongated Structures Segmentation and Diagnosis in MS and NMOSD
Depthwise Convolution with Channel Mixer: Rethinking MLP in MetaFormer for Faster and More Accurate Vehicle Detection
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VIII
Feature Analysis and Classification of Protein Secondary Structure Data
Detecting Railway Track Irregularities Using Conformal Prediction
Lagrange Neural Network for Solving CSP Which Includes Linear Inequality Constraints
Incremental and Decremental Learning for Linear Support Vector Machines
Target-Aware Drug Activity Model: A Deep Learning Approach to Virtual HTS
Optimal Linear Regression on Classifier Outputs
A Novel Novelty Detector
Implementation of CNN Computing Technology
Learning Tn5 Sequence Bias from ATAC-seq on Naked Chromatin
The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population
Encoding and Retrieval in a CA1 Microcircuit Model of the Hippocampus
Combination Methods for Ensembles of RBFs
Some Comparisons of Linear and Deep ReLU Network Approximation
A Global-Local Architecture Constrained by Multiple Attributes for Person Re-identification
Completing Hedge Fund Missing Net Asset Values Using Kohonen Maps and Constrained Randomization
Feature Fusion Distillation
Visual Gesture Recognition by a Modular Neural System
A Design of Neural-Net Based Self-Tuning PID Controllers
Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration
A Long and Short Term Preference Model for Next Point of Interest Recommendation
How to Extract and Interact? Nested Siamese Text Matching with Interaction and Extraction
Supervised Learning for Convolutional Neural Network with Barlow Twins
Perceptual Grouping and Attention During Cortical Form and Motion Processing
Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression
SAIM: A Model of Visual Attention and Neglect
Mixture of Expert Used to Learn Game Play
F-Measure Optimization for Multi-class, Imbalanced Emotion Classification Tasks
Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks
Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network
Fuzzy Growing Hierarchical Self-Organizing Networks
Deep Convolutional Neural Networks for Classifying Body Constitution
The Possible Function of Dopamine in Associative Learning: A Computational Model
LPSF-LiDARNet: Log-Polar Spatiotemporal Fusion-Based LiDAR Point Cloud Semantic Segmentation for Autonomous Driving
Vector Quantization by Optimal Neural Gas
An Energy Sampling Replay-Based Continual Learning Framework
Ensemble-Based Methods for Cancellable Biometrics
Generating Facial Expressions Associated with Text
Learning to Optimize Entropy in the Soft Actor-Critic
Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation
PlAA: Pixel-level Adversarial Attack on Attention for Deep Neural Network
A Classification Method of Children with Developmental Dysphasia Based on Disorder Speech Analysis
ComMGAE: Community Aware Masked Graph AutoEncoder
Diffusion Policies as Multi-Agent Reinforcement Learning Strategies
Multi-intent Aware Contrastive Learning for Sequential Recommendation
Video Description Using Bidirectional Recurrent Neural Networks
On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables
A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap
Phase Singular Points Reduction by a Layered Complex-Valued Neural Network in Combination with Constructive Fourier Synthesis
Computation of Air Traffic Flow Management Performance with Long Short-Term Memories Considering Weather Impact
Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays
Active Vision for Physical Robots Using the Free Energy Principle
Learning Trends on the Fly in Time Series Data Using Plastic CGP Evolved Recurrent Neural Networks
Dual-Branch Network with Online Knowledge Distillation for 3D Hand Pose Estimation
A Comparative Study of the Objectionable Video Classification Approaches Using Single and Group Frame Features
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning
Weighted Learning Vector Quantization to Cost-Sensitive Learning
Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application
MLP-Based Detection of Targets in Clutter: Robustness with Respect to the Shape Parameter of Weibull-Disitributed Clutter
Rotation-Invariant Pattern Recognition: A Procedure Slightly Inspired on Olfactory System and Based on Kohonen Network
Robot Learning in Analog Neural Hardware
Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks
A Comparison of Model Aggregation Methods for Regression
DCAR: Deep Collaborative Autoencoder for Recommendation with Implicit Feedback
Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units?
Enhancing Graph Neural Networks with Mixup-Based Knowledge Distillation
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges
Relative Time Scales in the Self-Organization of Pattern Classification: From One-Shot to Statistical Learning
Cortical Cell Assemblies, Laminar Interaction, and Thalamocortical Interplay
Towards End-to-End Raw Audio Music Synthesis
Visual Attention and Learning of a Cognitive Robot
On Using MLPs for Step Size Control in Echo Cancellation for Hands-Free Telephone Sets
Convex Density Constraints for Computing Plausible Counterfactual Explanations
U-FQA: A Unified Face Quality Assessment Score for Improved Unknown Identity Detection in Facial Recognition Systems
Boosting Few-Shot Classification with Lie Group Contrastive Learning
Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network
Learning Bimanual Coordination Patterns for Rhythmic Movements
A Prediction and Learning Based Approach to Network Selection in Dynamic Environments