yusuke1997/dblp-id-title huggingface dataset:
Nonlinear Projection Using Geodesic Distances and the Neural Gas Network
A Multichannel Convolutional Neural Network for Hand Posture Recognition
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria
Adaptive Model Selection for Digital Linear Classifiers
An Information Geometrical Analysis of Neural Spike Sequences
Application of K-Means and MLP in the Automation of Matching of 2DE Gel Images
Bio-mimetic Path Integration Using a Self Organizing Population of Grid Cells
A Neural Network for Parameter Estimation of a DC Motor for Feed-Drives
On the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions
Learning from Examples to Generalize over Pose and Illumination
Cascade Pre-attention: Regulating Neuronal Activation Distributions in MetaFormer-Based Spiking Neural Networks
Anticipation-Based Control Architecture for a Mobile Robot
View-Weighted Multi-view K-means Clustering
Generating Complex Connectivity Structures for Large-Scale Neural Models
A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks
Boosting Adversarial Transferability Through Intermediate Feature
A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models
Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine
SSFlowNet: Semi-supervised Scene Flow Estimation on Point Clouds With Pseudo Label
Iterative Population Decoding Based on Prior Beliefs
TriangleVision: A Toy Visual System
An Annealed "Neural Gas" Network for Robust Vector Quantization
Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths
Automatic Segmentation of Color Lip Images Based on Morphological Filter
Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning
Variable-Sized Kohonen Feature Map Probabilistic Associative Memory
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic
Study of the Behavior of a New Boosting Algorithm for Recurrent Neural Networks
Global and Local Rejection Option in Multi-classification Task
Learning Internal Representation of Visual Context in a Neural Coding Network
Towards Robust Uncertainty Estimation in the Presence of Noisy Labels
Critical Echo State Networks
Newtonian Spectral Clustering
Evolution of Heuristics for Give-Away Checkers
A Forward / Inverse Motor Controller for Cognitive Robotics
A Dynamic Binding Mechanism for Retrieving and Unifying Complex Predicate-Logic Knowledge
Signatures of Dynamic Cell Assemblies in Monkey Motor Cortex
Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models
Sisfrutos Papaya: A Dataset for Detection and Classification of Diseases in Papaya
An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network
Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing
Comparison of Volterra Models Extracted from a Neural Network for Nonlinear Systems Modeling
A New RBF Neural Network Based Non-linear Self-tuning Pole-Zero Placement Controller
On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks
Building Nonlinear Data Models with Self-Organizing Maps
Model of the Hippocampal Learning of Spatio-temporal Sequences
Classification of Face Images for Gender, Age, Facial Expression, and Identity
Face Recognition Using Parzenfaces
Online Approximations for Wind-Field Models
Short Term Memory and Pattern Matching with Simple Echo State Networks
Different Model Types for Short-Term Forecasting of Characteristic Load Points
Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition
Neural Network Clustering Based on Distances Between Objects
TSP Combination Optimization with Semi-local Attention Mechanism
Plasticity in the Granular Layer Enhances Motor Learning in a Computational Model of the Cerebellum
Natural Language Processing Neural Network for Recall and Inference
A Hierarchical Fine-Tuning Approach Based on Joint Embedding of Words and Parent Categories for Hierarchical Multi-label Text Classification
A Marker-Based Model for the Ontogenesis of Routing Circuits
Approximate Learning in Temporal Hidden Hopfield Models
Robot-Animal Interaction
Minimal Convolutional RNNs Accelerate Spatiotemporal Learning
Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map
Topological Enhancement Learning Module for Segmentation of Complex and Irregular Structures in 3D Medical Imaging
EM-Based Radial Basis Function Training with Partial Information
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
Recognizing Human Activities Using a Layered Markov Architecture
Neural-Based Classification of Blocks from Documents
Detection of Fingerprint Alterations Using Deep Convolutional Neural Networks
An Evaluation of Various Regression Models for the Prediction of Two-Terminal Network Reliability
Unsupervised Learning in Networks of Spiking Neurons Using Temporal Coding
Residual Learning for FC Kernels of Convolutional Network
A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification
Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting
Higher Education Programming Competencies: A Novel Dataset
Learning of Neural Information Routing for Correspondence Finding
Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting
Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes
Ontology Alignment with Weightless Neural Networks
Micro-SOM: A Linear-Time Multivariate Microaggregation Algorithm Based on Self-Organizing Maps
Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers
Obstacle Avoidance by Profit Sharing Using Self-Organizing Map-Based Probabilistic Associative Memory
Unlearnable Examples Detection via Iterative Filtering
RegionDrop: Fast Human Pose Estimation Using Annotation-Aware Spatial Sparsity
Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions
Compute-Efficient Neural Network Architecture Optimization by a Genetic Algorithm
Correntropy-Based Document Clustering via Nonnegative Matrix Factorization
Knowledge Representation for Explainability in Collaborative Robotics and Adaptation
Mitigating Concept Drift via Rejection
Dynamic Facial Expression Recognition in Unconstrained Real-World Scenarios Leveraging Dempster-Shafer Evidence Theory
Unified Framework for Joint Attribute Classification and Person Re-identification
A Histogram of Oriented Gradients for Broken Bars Diagnosis in Squirrel Cage Induction Motors
Oscillation-Driven Reservoir Computing for Long-Term Replication of Chaotic Time Series
Learning Efficient Backprojections Across Cortical Hierarchies in Real Time
Optimized Supervised Control of Stochastic Timed Discrete Event Systems Using Supervisory Control Theory and Reinforcement Learning
Convergence Improvement of Active Set Training for Support Vector Regressors
Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders
Analysis of Dogs' Sleep Patterns Using Convolutional Neural Networks
MENGLAN: Multiscale Enhanced Nonparametric Gas Analyzer with Lightweight Architecture and Networks
Use of Machine Learning Algorithms to Analyze the Digit Recognizer Problem in an Effective Manner
Incorporating Invariances in Support Vector Learning Machines
Selective Attention Improves Learning
Active Learning with Adaptive Grids
A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks
Spiking Signals in FOC Control Drive
Conjugate Directions for Stochastic Gradient Descent
Estimation of Poles of Zeta Function in Learning Theory Using Padé Approximation
Improvements and Extensions to the Constructive Algorithm CARVE
RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot
Learning Dynamical Systems Produced by Recurrent Neural Networks
Silicon Neurons That Compute
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess
Faster Convergence and Improved Performance in Least-Squares Training of Neural Networks for Active Sound Cancellation
DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data
Process Adaptive Learning for Visual-Language Navigation
GanNeXt: A New Convolutional GAN for Anomaly Detection
A Comparative Analysis of Preprocessing Methods for Single-Trial Event Related Potential Detection
Object Localisation Using Laterally Connected "What" and "Where" Associator Networks
Lateral Excitation between Dissimilar Orientation Columns for Ongoing Subthreshold Membrane Oscillations in Primary Visual Cortex
Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings
Acceleration of Game Learning with Prediction-Based Reinforcement Learning - Toward the Emergence of Planning Behavior
Polynomial Cellular Neural Networks for Implementing the Game of Life
Accurate SDF Reconstruction with Geometric-Differential Regularization and Categorized Sampling Strategy
Influence of Membrane Warp on Pulse Propagation Time
Self-Enhancer: A Self-supervised Framework for Low-Supervision, Drifted Data with Significant Missing Values
Time-Dependent Series Variance Estimation via Recurrent Neural Networks
Pareto-optimal Noise and Approximation Properties of RBF Networks
ACGCN: A Sequence-Attention-Based Graph Convolutional Model for Enhanced Recommendation Systems
A Neural Network-Based Method for Affine 3D Registration of FMRI Time Series Using Fourier Space Subsets
Using Recurrent Neural Networks for Automatic Chromosome Classification
IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction
Efficient Hybrid Neural Network for Chaotic Time Series Prediction
An Analytical Approach to Single Node Delay-Coupled Reservoir Computing
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management
Kernel Principal Component Analysis
Non-iterative Phase Retrieval with Cascaded Neural Networks
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
Generating and Customizing Robotic Arm Trajectories Using Neural Networks
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization
Correcting Errors in Optical Data Transmission Using Neural Networks
Hierarchical Clustering of Document Archives with the Growing Hierarchical Self-Organizing Map
STCP: An Efficient Model Combining Subject Triples and Constituency Parsing for Recognizing Textual Entailment
Semantic Diversity Image Translation Based on Deep Feature Difference and Attention Mechanism
The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns
Towards Background and Foreground Color Robustness with Adversarial Right for the Right Reasons
Generalized Object Detection in the Infrared Domain Based on Common-Representation Learning
A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations
The Effect of Batch Normalization in the Symmetric Phase
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
Adaptive Proposer for Ultimatum Game
Temperature Prediction in Electric Arc Furnace with Neural Network Tree
Using the Leader Algorithm with Support Vector Machines for Large Data Sets
Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses
Some Issues About the Generalization of Neural Networks for Time Series Prediction
Deep Reinforcement Learning for Job Scheduling on Cluster
On the Selection of Loss Functions Under Known Weak Label Models
Resonant Spike Propagation in Coupled Neurons with Subthreshold Activity
Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part V
Multi-representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection
Multi-stream Information-Based Neural Network for Mammogram Mass Segmentation
Incorporating Adaptive RNN-Based Action Inference and Sensory Perception
Removing an Object from Video Sequence Algorithm Implemented on Analog CNN and DSP Microprocessors
Sparsity and Complexity of Networks Computing Highly-Varying Functions
Generation of Diversiform Characters Using a Computational Handwriting Model and a Genetic Algorithm
Classification of Photo and Sketch Images Using Convolutional Neural Networks
An Adaptable Gaussian Neuro-Fuzzy Classifier
Mathematical Analysis of Competition Between Sensory Ganglion Cells for Nerve Growth Factor in the Skin
Sparse Bayes Machines for Binary Classification
A Neural Model in Anti-spam Systems
Transformation from Complex Networks to Time Series Using Classical Multidimensional Scaling
Architecturing Binarized Neural Networks for Traffic Sign Recognition
Learning Using Privileged Information in Prototype Based Models
Comparison Between Filter Criteria for Feature Selection in Regression
End-to-End Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters
Integration of Unsupervised and Supervised Criteria for Deep Neural Networks Training
Topic-Driven Hyper-relational Knowledge Graphs with Adaptive Reconstruction for Multi-hop Question Answering Using LLMs
Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input
Biological Brain and Binary Code: Quality of Coding for Face Recognition
Analyzing Classification Methods in Multi-label Tasks
Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks
Recovering Localized Adversarial Attacks
A Detail Geometry Learning Network for High-Fidelity Face Reconstruction
Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis
Towards a Control Theory of Attention
Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks
Information Visualization for Knowledge Extraction in Neural Networks
Optimal Training Sequences for Locally Recurrent Neural Networks
Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons
Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling
Echo State Networks in Dynamic Data Clustering
Leveraging Adversarial Training to Facilitate Grammatical Error Correction
Dimensionality Reduction Based on ICA for Regression Problems
Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations
Chord Classifications by Artificial Neural Networks Revisited: Internal Representations of Circles of Major Thirds and Minor Thirds
Using the Analytic Feature Framework for the Detection of Occluded Objects
Ensemble-Based Deep Metric Learning for Few-Shot Learning
Layer-Specific Repair of Neural Network Classifiers
MolEncoder: Improved Masked Language Modeling for Molecules
NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams
Predictive Modeling with Echo State Networks
A Credibility-Based Analysis of Information Diffusion in Social Networks
X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images
Functional Architectures and Hierarchies of Time Scales
A Neural Lexical Post-Processor for Improved Neural Predictive Word Recognition
Multilayer and Multipathway Simulation on Retina
Beyond Comon's Identifiability Theorem for Independent Component Analysis
Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition
A Comparison of Target Customers in Asian Online Game Markets: Marketing Applications of a Two-Level SOM
A Linguistic Approach to a Human-Consistent Summarization of Time Series Using a SOM Learned with a LVQ-Type Algorithm
Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network
Effects of Input Structure and Topology on Input-Driven Functional Connectivity Stability
Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN
Graph-Boosted Attentive Network for Semantic Body Parsing
Enhancing Text2SQL Generation with Syntactic Information and Multi-task Learning
On Multi-modal Fusion for Freehand Gesture Recognition
Global and Local Preserving Feature Extraction for Image Categorization
BPGG: Bidirectional Prototype Generation and Guidance Network for Few-Shot Anomaly Localization
MMF: Multi-task Multi-structure Fusion for Hierarchical Image Classification
OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection
Masked Scale-Recurrent Network for Incomplete Blurred Image Restoration
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout
Development and Realization of the Artificial Neural Network for Diagnostics of Stroke Type
Classifying EEG Data into Different Memory Loads Across Subjects
Desaturating Coefficient for Projection Learning Rule
CSM: Corn Instance Segmentation Model Fusing Dilated Residual Networks and Low-Rank Adaptation
Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance
Information Maximization and Language Acquisition
Interpretable Visual Understanding with Cognitive Attention Network
Randomly Spiking Dynamic Neural Fields Driven by a Shared Random Flow
Image Receptive Fields Neural Networks for Object Recognition
Learning Invariant Visual Shape Representations from Physics
Improved Occluded Person Re-Identification with Multi-feature Fusion
Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks
A Multiscale Resonant Spiking Neural Network for Music Classification
A Priori Reliability Prediction with Meta-Learning Based on Context Information
Multi-convolution and Adaptive-Stride Based Transferable Adversarial Attacks
Layer-Wised Sparsification Based on Hypernetwork for Distributed NN Training
Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting
Gender-Aware CNN-BLSTM for Speech Emotion Recognition
Diagnosis Tools for Telecommunication Network Traffic Management
Aggregate Distillation for Top-K Recommender System
Learning the Long-Term Structure of the Blues
Neural Network Visual Tracking System
Improving the Correlation Hunting in a Large Quantity of SOM Component Planes
Several Enhancements to Hermite-Based Approximation of One-Variable Functions
Toward Better Document-Level Relation Extraction: De-sampling and Mixture of Experts in Action
IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region
Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants
ShadowGAN for Line Drawings Shadow Generation
On Use of ANNs to Model and to Control Robot Manipulators
Modeling Synchronization Loss in Large-Scale Brain Dynamics
A Model of Logic Like Inference by Memory Model PATON
Visualization of Changes in Process Dynamics Using Self-Organizing Maps
Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II
Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks
Input Selection for Radial Basis Function Networks by Constrained Optimization
SHGAE: Social Hypergraph AutoEncoder for Friendship Inference
Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm
Learning Seasonal-Trend Representations and Conditional Heteroskedasticity for Time Series Analysis
Separation of Memory and Processing in Dual Recurrent Neural Networks
EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning
Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification
Training Neural Networks Using Taguchi Methods: Overcoming Interaction Problems
NGAT: A Node-Level Graph Attention Network for Long-Term Stock Prediction
Using Exponential Kernel for Word Sense Disambiguation
EDAFormer: Enhancing Low-Light Images with a Dual-Attention Transformer
Safe Data Resampling Method Based on Counterfactuals Analysis
SNNet: Specific Node Network of Human Parsing
Precise Restoration of Cortical Orientation Maps Explained by Hebbian Dynamics of Geniculocortical Connections
Contrastive Learning for Session-Based Recommendation
Adapted Methods for GAN Vocoders via Skip-Connections ISTFT and Cooperative Structure
Learning to Assist Agents by Observing Them
Safe Reinforcement Learning in a Simulated Robotic Arm
FPGA Implementation of an Adaptive Stochastic Neural Model
Support Vector Robust Algorithms for Non-parametric Spectral Analysis
Long-Horizon Route-Constrained Policy for Learning Continuous Control Without Exploration
Application of Vision Models to Traffic Sign Recognition
One-Class Intrusion Detection with Dynamic Graphs
The Support Feature Machine for Classifying with the Least Number of Features
Compressing Genomic Sequences by Using Deep Learning
Improving Limited Resource Speech Recognition Performance with Latent Regression Bayesian Network
Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning
Dynamic Modeling for Reinforcement Learning with Random Delay
Neuro-Genetic Visuomotor Architecture for Robotic Grasping
Weighted Pooling from Salient Regions for Place Recognition
Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker
Transformer Based Prototype Learning for Weakly-Supervised Histopathology Tissue Semantic Segmentation
Discriminative Feature Learning Using Two-Stage Training Strategy for Facial Expression Recognition
Control of a Free-Falling Cat by Policy-Based Reinforcement Learning
Dynamic Shape Learning and Forgetting
Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning
Back-Propagation as Reinforcement in Prediction Tasks
Building Ensembles of Neural Networks with Class-Switching
Gradient-Based Learning of Compositional Dynamics with Modular RNNs
On Spectral Basis Selection for Single Channel Polyphonic Music Separation
Mapping of Radial Basis Function Networks to Partial Tree Shape Parallel Neurocomputer
Interactive Two-Level WEBSOM for Organizational Exploration
Extended Weighted Nearest Neighbor for Electricity Load Forecasting
MFMamba: A Hierarchical Weakly Causal Mamba with Multi-scale Feature Fusion for Vision Tasks
A Predictive Coding Account for Chaotic Itinerancy
Gaussian Mixture Model-Based Registration Network for Point Clouds with Partial Overlap
Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods
SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks
Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data
Automatic Treatment of Bird Audios by Means of String Compression Applied to Sound Clustering in Xeno-Canto Database
Attention-Based Improved BLSTM-CNN for Relation Classification
Word-by-Word Generation of Visual Dialog Using Reinforcement Learning
Lateral and Elastic Interactions: Deriving One Form from Another
Higher Target Relevance Parallel Machine Translation with Low-Frequency Word Enhancement
HiSeqGAN: Hierarchical Sequence Synthesis and Prediction
Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality
View-Tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases