yusuke1997/dblp-id-title huggingface dataset:
A Spectral-Spatial Classification Algorithm for Multispectral Remote Sensing Data
Region Feature Disentanglement for Domain Adaptive Object Detection
Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization
Analog Fault Detection Using a Neuro Fuzzy Pattern Recognition Method
On Linear Separability of Sequences and Structures
Application of Nonlinear Neural Network Model for Self Sensing Characteristic in an Ionic Polymer Metal Composite (IPMC) Actuator
Enhance Representational Differentiation Step by Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification
The Evolution of Modular Artificial Neural Networks for Legged Robot Control
A Review of Cognitive Processing in the Brain
Adaptive Saccade Control of a Binocular Head with Dynamic Cell Structures
A Rule Chaining Architecture Using a Correlation Matrix Memory
Evolutionary Computation - History, Status, and Perspectives
Video Sequence Boundary Detection Using Neural Gas Networks
A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements
Deep Dictionary Pair Learning for SAR Image Classification
Associative Memory in Neuronal Networks of Spiking Neurons: Architecture and Storage Analysis
Contingent Features for Reinforcement Learning
Temporal Attention Signatures for Interpretable Time-Series Prediction
A Novel Technique for Data Visualization Based on SOM
SOMM - Self-Organized Manifold Mapping
Non-Outlier Pseudo-Labeling for Short Text Clustering
Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots
Modeling Conditional Probabilities with Committees of RVFL Networks
SWIFT: State-Space Wavelet Integrated Forecasting Technology for Enhanced Time Series Prediction
A Personalized Federated Multi-task Learning Scheme for Encrypted Traffic Classification
Reinforcement Learning for the Pickup and Delivery Problem
Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings
Development of a Dynamically Extendable SpiNNaker Chip Computing Module
Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models
Unsupervised Learning in LSTM Recurrent Neural Networks
Hermite Polynomials and Measures of Non-gaussianity
NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components
Cross-Domain Transformer with Adaptive Thresholding for Domain Adaptive Semantic Segmentation
A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina
A Multimode Two-Stream Network for Egocentric Action Recognition
Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data
FROD: Fast and Robust Distance-Based Outlier Detection with Active-Inliers-Patterns in Data Streams
LTNI-FGML: Federated Graph Machine Learning on Long-Tailed and Non-IID Data via Logit Calibration
Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval
Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps
A Novel Tuning Method for Neural Oscillators with a Ladder-Like Structure Based on Oscillation Analysis
Bird Audio Diarization with Faster R-CNN
A New Adaptive Color Quantization Technique
Short-Term Precipitation Prediction with Skip-Connected PredNet
PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
Robust Gait Authentication Using Autoencoder and Decision Tree
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks
Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL
Implementing Bayes' Rule with Neural Fields
Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying
Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry
Neuro-fuzzy Rough Classifier Ensemble
Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification
Categorical Topological Map
Neural Modelling of Cognitive Disinhibition and Neurotransmitter Dysfunction in OCD
A Packet Routing Method Using Chaotic Neurodynamics for Complex Networks
Learning Anisotropic RBF Kernels
Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2
When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration
Control of Biped Robot Joints' Angles Using Coordinated Matsuoka Oscillators
Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation
Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations
A Noise Convolution Network for Tampering Detection
A Basis for Cognitive Machines
A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction
Entropic Measures with Radial Basis Units
Learning of Lateral Connections for Representational Invariant Recognition
Hybrid CNN-MLP for Wastewater Quality Estimation
An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors
Self-supervised Anomaly Detection by Self-distillation and Negative Sampling
A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems -An Application to Chaos in a Dripping Faucet-
Using an Artificial Neural Network to Determine Electrical Properties of Epithelia
Incremental One-Class Learning with Bounded Computational Complexity
Retinotopy Improves the Categorisation and Localisation of Visual Objects in CNNs
Neural Networks Applied to Electromagnetic Compatibility (EMC) Simulations
Rank-Revealing Orthogonal Decomposition in Extreme Learning Machine Design
On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities
A Noise-Robust Auditory Modelin Front End for Voiced Speech
Dual Memory Model for Using Pre-existing Knowledge in Reinforcement Learning Tasks
Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks
Online Stabilization of Chaotic Maps Via Support Vector Machines Based Generalized Predictive Control
Robustness to Variability and Asymmetry of In-Memory On-Chip Training
Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision
Generative Capacities of Cellular Automata Codification for Evolution of NN Codification
Neural Model for the Visual Recognition of Animacy and Social Interaction
EGCN: A Node Classification Model Based on Transformer and Spatial Feature Attention GCN for Dynamic Graph
Kernel Matrix Completion by Semidefinite Programming
GPIS: Geometric Informed Polygon Prompt for Incision Segmentation
Extraction and Localization of Non-contaminated Alpha and Gamma Oscillations from EEG Signal Using Finite Impulse Response, Stationary Wavelet Transform, and Custom FIR
Adding Nonlinear System Dynamics to Levenberg-Marquardt Algorithm for Neural Network Control
P2H-GAN: An Effective Method For Generating Handwritten Expressions
Input and Output Feature Selection
Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI)
Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector Regression
Assessing Error Bars in Distribution Load Curve Estimation
Intrusion Detection via Wide and Deep Model
An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image Segmentation
Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warping
LRP-GUS: A Visual Based Data Reduction Algorithm for Neural Networks
Merging DBSCAN and Density Peak for Robust Clustering
Fuzzy Implications Generating from Fuzzy Negations
On the Training of a Kolmogorov Network
A Hardware Implementation of Hierarchical Neural Networks for Real-Time Quality Contol Systems in Industrial Applications
q-Maximum Entropy Distributions and Memory Neural Networks
Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm
A Non-stationary Infinite Partially-Observable Markov Decision Process
DSNet: Dynamic Selection Network for Biomedical Image Segmentation
Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation
Fusion of Image Representations for Time Series Classification with Deep Learning
An Adaptive Neuro-Fuzzy Inference System for Calculation Resonant Frequency and Input Resistance of Microstrip Dipole Antenna
Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I
Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching
Image Super-Resolution Using Deep RCSA Network
A Hybrid Path Planning System Combining the A * -Method and RBF-Networks *
Object Detection in Foggy Images with Transmission Map Guidance
Unsupervised Learning of Relations
Building a Bridge Between Spiking and Artificial Neural Networks
Architecture Selection through Statistical Sensitivity Analysis
Global Robust Stability of Competitive Neural Networks with Continuously Distributed Delays and Different Time Scales
Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells
Integrating Label Semantic Similarity Scores into Multi-label Text Classification
SAM-kNN Regressor for Online Learning in Water Distribution Networks
Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution
Using Depressing Synapses for Phase Locked Auditory Onset Detection
Dendritic Computation in a Point Neuron Model
Prediction of Cancer Drug Sensitivity Based on GBDT-RF Algorithm
Continuous Unsupervised Sleep Staging Based on a Single EEG Signal
Tracking with Multiple Prediction Models
A Transformer-Based Method for UAV-View Geo-Localization
On the Generalization Ability of Recurrent Networks
Image Classification by Histogram Features Created with Learning Vector Quantization
Signal-to-Noise Difference as a Correlate of Class Learning in Neural Networks
A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image
On the Problem of Finding the Least Number of Features by L1-Norm Minimisation
Coupled Neural Maps for the Origins of Vowel Systems
Strong Systematicity in Sentence Processing by an Echo State Network
A Coarse-to-Fine Training Paradigm for Dialogue Summarization
Blending Pruning Criteria for Convolutional Neural Networks
Improving Associative Memory in a Network of Spiking Neurons
Accelerated Learning in Boltzmann Machines Using Mean Field Theory
Boosting Tricks for Word Mover's Distance
Object-Centric Dreamer
Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model
Observational Versus Trial and Error Effects in a Model of an Infant Learning Paradigm
Analysis of Reservoir Structure Contributing to Robustness Against Structural Failure of Liquid State Machine
Real-Time Embedded Intelligence System: Emotion Recognition on Raspberry Pi with Intel NCS
Experiments on Regularizing MLP Models with Background Knowledge
Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation
Asymmetric Isomap for Dimensionality Reduction and Data Visualization
Spatiotemporal Model with Attention Mechanism for ENSO Predictions
Admissibility and Optimality of the Cascade-Correlation Algorithm
Summarizing Like Human: Edit-Based Text Summarization with Keywords
Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo
An Online Backpropagation Algorithm with Validation Error-Based Adaptive Learning Rate
Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction
A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events
The Use of Artificial Neural Networks in the Speech Understanding Model - SUM
Dynamically Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence
Instance Selection Using Two Phase Collaborative Neighbor Representation
Neuro-fuzzy System for Road Signs Recognition
A Document-Level Relation Extraction Framework with Dynamic Pruning
Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated Activity
Outlier Analysis in BP/RP Spectral Bands
Early Detection of Winding Faults in Windmill Generators Using Wavelet Transform and ANN Classification
Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation
Transfer Learning Approach Towards a Smarter Recycling
EGAT: Edge-Featured Graph Attention Network
MFPNet: A Multi-scale Feature Propagation Network for Lightweight Semantic Segmentation
Automatic Beautification for Group-Photo Facial Expressions Using Novel Bayesian GANs
A Spatio-temporal Perceptron for On-Line Handwritten Character Recognition
Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification
Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
On the Interpretation of Recurrent Neural Networks as Finite State Machines
Temporal Graph Transformer for Dynamic Network
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
Clustering Using Elements of Information Theory
K-DLM: A Domain-Adaptive Language Model Pre-Training Framework with Knowledge Graph
The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition
Counting with Analog Neurons
Neural Network Solution of Optimal Control Problem with Control and State Constraints
Deep and Wide Neural Networks Covariance Estimation
OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon
Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector Machines
IHCP: Image Hiding Against Blind Compression Based on Quality Prediction
Can Ontologies help making Machine Learning Accountable? (Extended Abstract)
Contrastive Knowledge Amalgamation for Unsupervised Image Classification
Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model
Neural Spike Suppression by Adaptive Control of an Unknown Steady State
Towards Context-Dependence Eye Movements Prediction in Smart Meeting Rooms
Clustering Limit Cycle Oscillators by Spectral Analysis of the Synchronisation Matrix with an Additional Phase Sensitive Rotation
Multicompartment Simulations of NMDA Receptor Based Facilitation in an Insect Target Tracking Neuron
Merging Strategy for Local Model Networks Based on the Lolimot Algorithm
Performance Comparison of Machine Learning Algorithms for EEG-Signal-Based Emotion Recognition
Recurrent Neural Learning for Helpdesk Call Routing
SAL: Salient Adversarial Attack with LRP Refinement
Shape from Shading by Model Inclusive Learning Method with Simultaneous Estimation of Parameters
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources
A Fast BMU Search for Support Vector Machine
The Existence and the Stability of Weighted Pseudo Almost Periodic Solution of High-Order Hopfield Neural Network
Pareto Multi-task Deep Learning
Improving Text Classification Performance with Incremental Background Knowledge
Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli
Sequence Disambiguation with Synaptic Traces in Associative Neural Networks
Pure Physics-Informed Echo State Network of ODE Solution Replicator
A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial Navigation
Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding
An Analysis and Interpretation of the Oscillatory Behavior of a Model of the Granular Layer of the Cerebellum
Supervised Associative Learning in Spiking Neural Network
A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor
Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks
Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques
Support Vector Machine Classifiers for Asymmetric Proximities
Discriminative and Robust Analysis Dictionary Learning for Pattern Classification
Learning Object Permanence from Videos via Latent Imaginations
Neural Models in Computationally Efficient Predictive Control Cooperating with Economic Optimisation
An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services
Application of Data Encryption in Chinese Named Entity Recognition
Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition
Improving Neural Network Training Based on Jacobian Rank Deficiency
Complexity Reduction in Probabilistic Neural Networks
A Discrete Probabilistic Memory Model for Discovering Dependencies in Time
Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis
How Do Attention, Intention, and Consciousness Interact?
Style Expansion Without Forgetting for Handwritten Character Recognition
IESBU-Net: A Lightweight Skin Lesion Segmentation UNet with Inner-Module Extension and Skip-Connection Bridge
Unsupervised Learning of the Minor Subspace
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IV
Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning
Faster Learning with Overlapping Neural Assemblies
Reservoir-Size Dependent Learning in Analogue Neural Networks
Computational Advantages of Deep Prototype-Based Learning
CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study
Enhancing Sequential Recommendation via Aligning Interest Distributions
De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection
Scenic Spot Recommendation Method Integrating Knowledge Graph and Distance Cost
Neural Networks for Detecting Irrelevant Questions During Visual Question Answering
Squeezed Very Deep Convolutional Neural Networks for Text Classification
Input Layer Binarization with Bit-Plane Encoding
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons
Learning Sensorimotor Transformations with Dynamic Neural Fields
Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling
A "Learning from Models" Cognitive Fault Diagnosis System
Combining Articulatory Features with End-to-End Learning in Speech Recognition
Comparing Fuzzy Data Sets by Means of Graph Matching Technique
A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials
Identifying Clusters Using Growing Neural Gas: First Results
A Multilayer Real-Time Recurrent Learning Algorithm for Improved Convergence
Siamese Visual Tracking with Correlation and Awareness
Semi-Hard Margin Support Vector Machines for Personal Authentication with an Aerial Signature Motion
Time Window Width Influence on Dynamic BPTT(h) Learning Algorithm Performances: Experimental Study
Evolutionary Algorithms for Real-Time Artificial Neural Network Training
MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate
Learning to Imitate YMCA with an ESN
On the Complexity of Recognizing Iterated Differences of Polyhedra
Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping
Neural Model for the Visual Recognition of Goal-Directed Movements
Three-Layer Feedforward Structures Smoothly Approximating Polynomial Functions
A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation
Constructing Robust Liquid State Machines to Process Highly Variable Data Streams
A Computational Retina Model and Its Self-adjustment Property
A Hierarchical Support Vector Machine Based Solution for Off-line Inverse Modeling in Intelligent Robotics Applications
Learning Low-Level Causal Relations Using a Simulated Robotic Arm
Phase Precession and Recession with STDP and Anti-STDP
Advanced Capsule Networks via Context Awareness
Modelling Neurotic Psychopathology: Memory, Attention and Symbolization
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing
Domain Adaptative Semantic Segmentation by Fine-Grained Alignment
Learning to Predict Charges for Judgment with Legal Graph
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation
A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks
Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part I
A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus
Edge Information: A Confidence Based Algorithm Emphazising Continuous Curves
Inferring Cognition from fMRI Brain Images
Deep Text Prior: Weakly Supervised Learning for Assertion Classification
On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model
Inferring, Predicting, and Denoising Causal Wave Dynamics
Simple Recurrent Neural Networks for Support Vector Machine Training
Learning to Enumerate
Robust Principal Component Analysis for Brain Imaging
Interdependence Model for Multi-label Classification
Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning
Progressive Docking - Deep Learning Based Approach for Accelerated Virtual Screening
A Three-Stage Approach Based on the Self-organizing Map for Satellite Image Classification
Learning Deep Belief Networks from Non-stationary Streams
Neural Network Model for Extracting Optic Flow
Deep Video Compression Based on 3D Convolution Artifacts Removal and Attention Compression Module
Classification Based on Multiple-Resolution Data View
Frame Kernels for Learning
Neural Networks for Exact Constrained Optimization
A Statistical Model for Histogram Refinement
Multi-dimensional Recurrent Neural Networks
Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings
Independent Variable Group Analysis
Generative Event Extraction via Internal Knowledge-Enhanced Prompt Learning
Heterogeneous Graph Neural Network Knowledge Graph Completion Model Based on Improved Attention Mechanism
Dynamical Neural Schmitt Trigger for Robot Control
Simple Constraints for Zero-Lag Synchronous Oscillations under STDP
RIAP: A Method for Effective Receptive Field Rectification
Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception
Functional Modelling of Large Scattered Data Sets Using Neural Networks
Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network
PSML: Prototype-Based OSSL Framework for Multi-information Mining
An Efficient Way of Combining SVMs for Handwritten Digit Recognition
A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen Classification
Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement
Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks
Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards
Visualizing Similarities in High Dimensional Input Spaces with a Growing and Splitting Neural Network
Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, Germany, July 16-19, 1996, Proceedings
Flow Diagrams of the Quadratic Neural Network
DensEMANN + Sparsification: Experiments for Further Shrinking Already Small Automatically Generated DenseNet