yusuke1997/dblp-id-title huggingface dataset:
Hardware Implementation of Random Neural Networks with Reinforcement Learning
Dimension-Augmented Anisotropy in Graph Neural Diffusion
Hybrid Neural Systems for Reduced-Reference Image Quality Assessment
Face Detection Using Convolutional Neural Networks and Gabor Filters
Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks
Pheromone-inspired Communication Framework for Large-scale Multi-agent Reinforcement Learning
Modeling the Ase 20 Greek Index Using Artificial Neural Networks Combined with Genetic Algorithms
Principles of Employing a Self-organizing Map as a Frequent Itemset Miner
A General Image Representation Scheme and Its Improvement for Image Analysis
Local vs Global Models in Pong
Logics and Networks for Human Reasoning
Multi-spectral Dynamic Feature Encoding Network for Image Demoiréing
Evolutionary Strategies Used for the Mobile Robot Trajectory Tracking Control
Entropy Optimization - Application to Blind Source Separation
VideoPCDNet: Video Parsing and Prediction with Phase Correlation Networks
An Ensemble Model for Winning a Chinese Machine Reading Comprehension Competition
PSO for Reservoir Computing Optimization
Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning
Contour Detection by CORF Operator
Symmetry Detection Using Global-Locally Coupled Maps
Air-to-Ground Active Object Tracking via Reinforcement Learning
Layered Motion Segmentation with a Competitive Recurrent Network
Unsupervized Data-Driven Partitioning of Multiclass Problems
Improving Deep Generative Models with Randomized SMILES
Pattern Detection Using Fast Normalized Neural Networks
Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning
Representing Multidimensional Stimuli on the Cortex
Visualization and Analysis of Voltage Stability Using Self-Organizing Neural Networks
Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data
Surrogate-Assisted Multi-objective Design of Complex Multibody Systems
Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning Architecture
QMTS: Fixed-point Quantization for Multiple-timescale Spiking Neural Networks
Applying the Heavy-Tailed Kernel to the Gaussian Process Regression for Modeling Point of Sale Data
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps
Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus
Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels
Combining Contrastive Learning and Sequence Learning for Automated Essay Scoring
Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces
An Iterative Artificial Neural Network for High Dimensional Data Analysis
Adaptive Critical Reservoirs with Power Law Forgetting of Unexpected Input Sequences
The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
Neurodynamical Model for the Coupling of Action Perception and Execution
Deformable Radial Basis Functions
Optimal Triangle Stripifications as Minimum Energy States in Hopfield Nets
Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models
Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness
Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF
Input Selection with Partial Retraining
Mixed-Mode Response of Nigral Dopaminergic Neurons: An in Silico Study on SpiNNaker
Multi-frame Tilt-angle Face Recognition Using Fusion Re-ranking
Neural Spectrum Alignment: Empirical Study
MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion
Video Surveillance of Highway Traffic Events by Deep Learning Architectures
The InfoPhase Method or How to Read Neurons with Neurons
Learning to Learn Using Gradient Descent
A Parallel Algorithm Depth Perception from Radial Optical Flow Fields
Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams
Artificial Neural Networks: Biological Inspirations - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I
Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions
A Multi-level Weighted Representation for Person Re-identification
Ga-RFR: Recurrent Feature Reasoning with Gated Convolution for Chinese Inscriptions Image Inpainting
Estimating the Impact of Shocks with Artificial Neural Networks
Tracking and Learning Graphs on Image Sequences of Faces
Improving Performance of a Binary Classifier by Training Set Selection
Boosting Mixture Models for Semi-supervised Learning
Neural Network with Memory and Cognitive Functions
Predicting User's Movement with a Combination of Self-Organizing Map and Markov Model
Batch Intrinsic Plasticity for Extreme Learning Machines
Lip Reading Using Deformable 3D Convolution and Channel-Temporal Attention
CALICO: Confident Active Learning with Integrated Calibration
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems
A Neural Scheme for Robust Detection of Transparent Logos in TV Programs
Named Entity Recognition for Chinese Social Media with Domain Adversarial Training and Language Modeling
Single Image Dehazing Network Based on Serial Feature Attention
CuRL: Coupled Representation Learning of Cards and Merchants to Detect Transaction Frauds
The Bias-Variance Dilemma of the Monte Carlo Method
Population Coding Can Greatly Improve Performance of Neural Networks: A Comparison
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems
Quantifying the Effect of Meaning Variation in Survey Analysis
Semi-supervised Learning with Constraints for Multi-view Object Recognition
Genetically Tuned Controller of an Adaptive Cruise Control for Urban Traffic Based on Ultrasounds
Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition
Deep Bottleneck Classifiers in Supervised Dimension Reduction
Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search
Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor Independent of Multi-values
Weighted Multi-view Deep Neural Networks for Weather Forecasting
A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition
Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks
A Probabilistic Prediction Method for Object Contour Tracking
RRecT: Chinese Text Recognition with Radical-Enhanced Recognition Transformer
Autonomous Vehicle Guidance Using Analog VLSI Neuromorphic Sensors
Learning Curves for Gaussian Processes via Numerical Cubature Integration
Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data
Modeling of Dynamics Using Process State Projection on the Self Organizing Map
Incremental Sparse Kernel Machine
New Methods for Splice Site Recognition
Neural Network Training with Extended Kalman Filter Using Graphics Processing Unit
Policy Learning Using SPSA
Active Learning for Image Recognition Using a Visualization-Based User Interface
Balance Discriminability and Integrality for Robust Salient Object Detection
Input-Modulation as an Alternative to Conventional Learning Strategies
Investigation of Evolving Populations of Adaptive Agents
Robust Blind Source Separation Utilizing Second and Fourth Order Statistics
Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement
Addressing Delays in Reinforcement Learning via Delayed Adversarial Imitation Learning
Active Learning of the Generalized High-Low Game
Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes
Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics
Bifurcations in Discrete-Time Delayed Hopfield Neural Networks of Two Neurons
Multi-task Learning Method for Hierarchical Time Series Forecasting
Prototype Contrastive Learning for Personalized Federated Learning
EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning
Conditional Convolution Residual Network for Efficient Super-Resolution
Feature Extraction Using ICA
Intelligent Speech-Based Interactive Communication Between Mobile Cranes and Their Human Operators
Membership-Grade Based Prototype Rectification for Fine-Grained Few-Shot Classification
Echo State Networks for Online Prediction of Movement Data - Comparing Investigations
Composite Algorithm for Adaptive Mesh Construction Based on Self-Organizing Maps
Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction
Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing
An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content
GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting
An Extended Neuron Model for Efficient Time-Series Generation and Prediction
A RNN-Based Multi-factors Model for Repeat Consumption Prediction
Multi-task Alignment Scheme for Span-level Aspect Sentiment Triplet Extraction
Robust and Adaptable Motor Command Representation with Sparse Coding
UIT: Unifying Pre-training Objectives for Image-Text Understanding
PairEE: A Novel Pairing-Scoring Approach for Better Overlapping Event Extraction
Multi-stage Vs Single-Stage: A Local Information Focused Approach for Overlapping Event Extraction
A Study in Dataset Pruning for Image Super-Resolution
Balanced Cortical Microcircuitry-Based Network for Working Memory
Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis Function
A Spatio-temporal Extension of the SUSAN-Filter
Combined Global and Local Information Diffusion of Neural Processes
From Exploration to Planning
Improvement in Language Detection by Neural Discrimination in Comparison with Predictive Models
Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity
Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier
Nonlinear Independent Component Analysis by Self-Organizing Maps
Predictive Power of Time-Series Based Machine Learning Models for DMPK Measurements in Drug Discovery
Associative Completion and Investment Learning Using PSOMs
A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers
Pattern Recognition for COPD Diagnostics Using an Artificial Neural Network and Its Potential Integration on Hardware-Based Neuromorphic Platforms
Identification of Incorrect Karyotypes Using Deep Learning
Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition
WKE: Word-Level Knowledge Enrichment for Aspect Term Extraction
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VI
Cascaded Network-Based Single-View Bird 3D Reconstruction
EEG Dataset Reduction and Classification Using Wave Atom Transform
Intention-Aware Frequency Domain Transformer Networks for Video Prediction
Extracting Motion Primitives from Natural Handwriting Data
Translation-Invariant Neural Responses as Variational Messages in a Bayesian Network Model
Learning Two-Layer Contractive Encodings
Leaving Local Optima in Unsupervised Kernel Regression
Knowledge-Aware Self-supervised Graph Representation Learning for Recommendation
Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network
Towards a Model of Associative Memory with Learned Distributed Representations
Automatic Recognition of Mild Cognitive Impairment from MRI Images Using Expedited Convolutional Neural Networks
Phase Transitions in Soft Topographic Vector Quantization
Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments
Subspace Clustering Multi-module Self-organizing Maps with Two-Stage Learning
Correction to: I 2 KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding
Client Dependent GMM-SVM Models for Speaker Verification
Fuzzy Labeled Self-organizing Map with Kernel-Based Topographic Map Formation
ACE-Net: Adaptive Context Extraction Network for Medical Image Segmentation
Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers
SAMTNU: Adaptive Segment Anything Model for Thyroid and Nodule Ultrasound Image Segmentation
The Explainability-Performance Coefficient: A New Metric for Model Transparency
Approximation of Time-Varying Functions with Local Regression Models
TimbreAdv: Timbre Adversarial Attacks on Speaker Verification Systems
Deterministic Modelling of Randomness with Recurrent Artificial Neural Networks
Corner Detection in Color Images by Multiscale Combination of End-Stopped Cortical Cells
Attention and Edge Memory Convolution for Bioactivity Prediction
A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks
Learning a Compositional Hierarchy of Disparity Descriptors for 3D Orientation Estimation in an Active Fixation Setting
Minimising Contrastive Divergence with Dynamic Current Mirrors
HawkEye: Cross-Platform Malware Detection with Representation Learning on Graphs
Visual Pathways for Detection of Landmark Points
Palmprint Biometric System Modeling by DBC and DLA Methods and Classifying by KNN and SVM Classifiers
Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks
An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation
Elastic Graph Matching on Gabor Feature Representation at Low Image Resolution
Simplified Computation and Interpretation of Fisher Matrices in Incremental Learning with Deep Neural Networks
Clustering Gene Expression Data by Mutual Information with Gene Function
Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval
A Two-Branch Neural Network for Non-Small-Cell Lung Cancer Classification and Segmentation
Auto-Lag Networks for Real Valued Sequence to Sequence Prediction
Analysis of COVID-19 5G Conspiracy Theory Tweets Using SentenceBERT Embedding
Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction
Dense Video Captioning for Incomplete Videos
Conditions for Unnecessary Logical Constraints in Kernel Machines
Regularized Kriging: The Support Vectors Method Applied to Kriging
Intelligent Pattern Generation for a Tactile Communication System
A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application
Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control
Gaussian Radial Basis Functions and Inner-Product Spaces
Multi-level Proposal Relations Aggregation for Video Object Detection
Market Basket Analysis Using Boltzmann Machines
Dynamic Vision Sensor Based Gesture Recognition Using Liquid State Machine
Distortion Estimation Through Explicit Modeling of the Refractive Surface
Training Delays in Spiking Neural Networks
A Classification Algorithm for Bronchiolitis Obliterans in Pediatric CT Images with Extreme Class Imbalance
Adaptive Exploration Using Stochastic Neurons
Subspace Constraint for Single Image Super-Resolution
Real-Time Hand Prosthesis Biomimetic Movement Based on Electromyography Sensory Signals Treatment and Sensors Fusion
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels
Cross-Graph Transformer Network for Temporal Sentence Grounding
A Neural Clustering Algorithm for Estimating Visible Articulatory Trajectory
A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems
De Novo Drug Design - Do We Really Want to Be "Original"? - A Real-world Case Study on Colchicine-Site Tubulin Binders
Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix
Activation Dynamics in Excitable Maps: Limits to Communication Can Facilitate the Spread of Activity
Fast CNN Pruning via Redundancy-Aware Training
One-Shot Supervised Reinforcement Learning for Multi-targeted Tasks: RL-SAS
Multi-modal Multi-scale State Space Model for Medical Visual Question Answering
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
Comparison Between U-Net and U-ReNet Models in OCR Tasks
Classification Based on Combination of Kernel Density Estimators
Text Mining for Wellbeing: Selecting Stories Using Semantic and Pragmatic Features
Boundary-Aware Noise-Resistant Video Moment Retrieval
A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis
Algebraic Geometric Study of Exchange Monte Carlo Method
CancelOut: A Layer for Feature Selection in Deep Neural Networks
An Associated-Memory-Based Stock Price Predictor
Temporal Evaluation of Uncertainty Quantification Under Distribution Shift
Modelling Neuromodulated Information Flow and Energetic Consumption at Thalamic Relay Synapses
Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem
Scaffolding Haptic Attention with Controller Gating
Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II
Comparing Self-Organizing Maps
KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection
Feature Weighting by Maximum Distance Minimization
Investigating Current-Based and Gating Approaches for Accurate and Energy-Efficient Spiking Recurrent Neural Networks
Height Defuzzification Method on L ∞ Space
Convolutional Soft Decision Trees
A Competitive Approach to Neural Device Modeling: Support Vector Machines
Application of Artificial Neural Networks in Particle Physics
Impact of Frequency on the Energetic Efficiency of Action Potentials
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
A Graph Based Framework for Clustering and Characterization of SOM
CSEDesc: CyberSecurity Event Detection with Event Description
Roles of Motion and Form in Biological Motion Recognition
Context Reasoning Attention Network: Generating Plausible Distractors for Multi-choice Questions
Rule Extraction from Self-Organizing Networks
A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection
Binding and Perspective Taking as Inference in a Generative Neural Network Model
Hypergraph Variational Autoencoder for Multimodal Semi-supervised Representation Learning
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
SRA-YOLO: Spatial Resolution Adaptive YOLO for Semi-supervised Cross-Domain Aerial Object Detection
An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection
Sparse Coding for Feature Selection on Genome-Wide Association Data
Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language
SOM-Based Wavelet Filtering for the Exploration of Medical Images
Geometrically Constrained Optical Flow Estimation by a Hopfield Neural Network
Neural Network Based Processing for Smart Sensors Arrays
Generalized Multi-view Unsupervised Feature Selection
Investigation of Topographical Stability of the Concave and Convex Self-Organizing Map Variant
Enhancing the Interpretability of Deep Multi-agent Reinforcement Learning via Neural Logic Reasoning
Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network
Applying LSTM to Time Series Predictable through Time-Window Approaches
Linear Projection Method Based on Information Theoretic Learning
Uncovering Causal Relation Shifts in Event Sequences Under Out-of-Domain Interventions
Designing Modular Artificial Neural Network Through Evolution
Interactive Color Manipulation in NeRF: A Point Cloud and Palette-Driven Approach
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
Cursive Script Recognition with Time Delay Neural Networks Using Learning Hints
Hand-Drawn Shape Recognition Using the SVM'ed Kernel
Analysing the Predictivity of Features to Characterise the Search Space
Learning Features for Activity Recognition with Shift-Invariant Sparse Coding
Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation
Application of Bayesian MLP Techniques to Predicting Mineralization Potential from Geoscientific Data
Language and Cognition Integration Through Modeling Field Theory: Category Formation for Symbol Grounding
An Ensemble Scheme Based on the Optimization of TOPSIS and AdaBoost for In-Class Teaching Quality Evaluation
Clinical Pixel Feature Recalibration Module for Ophthalmic Image Classification
A Computational Model for Multiple Goals
Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data
Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots
Artificial Neural Receptive Field for Stereovision
A Study on Optimal Configuration for the Mobile Manipulator: Using Weight Value and Mobility
A Weakly Supervised Part Detection Method for Robust Fine-Grained Classification
A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification
Autonomous Driving Model Defense Study on Hijacking Adversarial Attack
Boosting Feature-Aware Network for Salient Object Detection
Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map
Symmetrical Adversarial Training Network: A Novel Model for Text Generation
Channel Capacity of Neural Networks
Generalization Performances of Perceptrons
Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework
Imbalanced Conditional Conv-Transformer for Mathematical Expression Recognition
Optimality of Pocket Algorithm
Style as Sentiment Versus Style as Formality: The Same or Different?
Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE
Data Mining Methods for Quality Assurance in an Environmental Monitoring Network
Improving the Performance of Resource Allocation Networks through Hierarchical Clustering of High-Dimensional Data
A Partitioned Detection Architecture for Oriented Objects
Two Gradient Descent Algorithms for Blind Signal Separation
Self-supervised Video Object Segmentation Using Motion Feature Compensation
Autoassociative Memory with high Storage Capacity
Vulnerability Analysis of Continuous Prompts for Pre-trained Language Models
Ms-AMPool: Down-Sampling Method for Dense Prediction Tasks
Classifying Spike Patterns by Reward-Modulated STDP
Purely Logical Neural Principal Component and Independent Component Learning
How to Use the SOINN Software: User's Guide (Version 1.0)
Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals
The Cerebellum as a "Coupling Machine"
Short Term Plasticity Provides Temporal Filtering at Chemical Synapses
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells
Nested Sequential Minimal Optimization for Support Vector Machines
Analysis of Augmentations in Contrastive Learning for Parkinson's Disease Diagnosis
How to Do Multi-way Classification with Two-Way Classifiers
Wavelet-Based Self-image Blending for More General Face Forgery Detection
Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
Behavior of Keyword Spotting Networks Under Noisy Conditions
Bayesian Hierarchical Ordinal Regression