yusuke1997/dblp-id-title huggingface dataset:
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks
A Neural Network to Retrieve Images from Text Queries
Correlation-Based Transformer Tracking
A Neural Network Model of Metaphor Understanding with Dynamic Interaction Based on a Statistical Language Analysis
Implementing Classical Conditioning with Spiking Neurons
Assemblies as Phase-Locked Pattern Sets That Collectively Win the Competition for Coherence
Unveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods
Selecting Distinctive-Variant Training Samples Base on Intra-class Similarity
ESSformer: Transformers with ESS Attention for Long-Term Series Forecasting
Skeleton Model for the Neurodynamics of Visual Action Representations
A Comparison of Features in Parts-Based Object Recognition Hierarchies
Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks
Adaptive Convolution Kernel for Text Classification via Multi-channel Representations
Probabilistic Proactive Timeline Browser
Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms
An Improved (Adversarial) Reprogramming Technique for Neural Networks
A Game-Theoretic Framework for Interpretable Preference and Feature Learning
Neural PCA and Maximum Likelihood Hebbian Learning on the GPU
New Results on Combination Methods for Boosting Ensembles
Analysis-by-Synthesis by Learning to Invert Generative Black Boxes
Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data
Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word Extraction
CKNA: Kernel Hyperparameters Optimization Method for Group-Wise CNNs
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Population Coding of Goal Directed Movements
Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting
A Neural Network Module with Pretuning for Search and Reproduction of Input-Output Mapping
FPGA Implementation of Support Vector Machines for 3D Object Identification
Understanding the Principles of Recursive Neural Networks: A Generative Approach to Tackle Model Complexity
Dynamic Ensembles Towards Out-of-Distribution Generalization of Affect Models
Binary Minimization: Increasing the Attraction Area of the Global Minimum in the Binary Optimization Problem
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings
Learning Temporally Stable Representations from Natural Sounds: Temporal Stability as a General Objective Underlying Sensory Processing
A Learned Saliency Predictor for Dynamic Natural Scenes
Lazy Training of Radial Basis Neural Networks
An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights
A Statistical Appraoch to Image Reconstruction from Projections Problem Using Recurrent Neural Network
Behavioral Market Segmentation of Binary Guest Survey Data with Bagged Clustering
The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition
A Label-Specific Attention-Based Network with Regularized Loss for Multi-label Classification
Scaling Properties of Human Brain Functional Networks
Learning a Kernel-Based Beran Estimator Using Nearest-Neighbours and Its Application to Reliability Analysis
Detection of Directional Information Flow Induced by TMS Based on Symbolic Transfer Entropy
Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series
Neural Coding of Dynamic Stimuli
Blood Cell Detection and Self-Attention-Based Mixed Attention Mechanism
Generally-Occurring Model Change for Robust Counterfactual Explanations
Chaotic Search for Traveling Salesman Problems by Using 2-opt and Or-opt Algorithms
Increasing the Capacity of a Hopfield Network without Sacrificing Functionality
Chinese Character Style Transfer Model Based on Convolutional Neural Network
Color-Calibration of Robot Vision System Using Self-Organizing Feature Maps
IMAM: Incorporating Multiple Attention Mechanisms for 3D Object Detection from Point Cloud
ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework
The Same Size Dilated Attention Network for Keypoint Detection
Modelling the N2pc and Its Interaction with Value
Cosine Similarity Drift Detector
Hierarchical Dynamics in Deep Echo State Networks
Collaborative Clustering Through Optimal Transport
LaneMP: Robust Lane Attention Detection Based on Mutual Perception of Keypoints
Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis
Modeling Data Center Temperature Profile in Terms of a First Order Polynomial RBF Network Trained by Particle Swarm Optimization
Heterogeneous Federated Learning Based on Graph Hypernetwork
A New Extension of Self-optimizing Neural Networks for Topology Optimization
CPG Driven RBF Network Control with Reinforcement Learning for Gait Optimization of a Dung Beetle-Like Robot
Algorithm for 3D-Chemotaxis Using Spiking Neural Network
Resilient Approximation of Kernel Classifiers
Advancing Free-Breathing Cardiac Cine MRI: Retrospective Respiratory Motion Correction Via Kspace-and-Image Guided Diffusion Model
Correcting the Modified Stochastic Synaptic Model of Synaptic Dynamics Refinement of Vesicle and Neurotransmitters Functions
Efficient Domain Decomposition for a Neural Network Learning Algorithm, Used for the Dose Evaluation in External Radiotherapy
Fairer Machine Learning Through Multi-objective Evolutionary Learning
Modularity-Driven Kernel k-means for Community Detection
Attention Enhanced Chinese Word Embeddings
Automatic Recalibration of a Space Robot: An Industrial Prototype
LogE-Net: Logic Evolution Network for Temporal Knowledge Graph Forecasting
On the Security Relevance of Initial Weights in Deep Neural Networks
Classification of SIP Attack Variants with a Hybrid Self-enforcing Network
BLR: A Multi-modal Sentiment Analysis Model
An EM Based Training Algorithm for Recurrent Neural Networks
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part III
Queue-Based Resampling for Online Class Imbalance Learning
Health Monitoring with Learning Methods
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
Sequential Strategy for Learning Multi-stage Multi-agent Collaborative Games
Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction
Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization
Post-synaptic Potential Regularization Has Potential
Rethink the Top-u Attention in Sparse Self-attention for Long Sequence Time-Series Forecasting
Feature Ranking Derived from Data Mining Process
Differential Entropy of Multivariate Neural Spike Trains
Input Pattern Complexity Determines Specialist and Generalist Populations in Drosophila Neural Network
Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers
Anchor Link Prediction Based on Trusted Anchor Re-identification
Two ICA Algorithms Applied to BSS in Non-destructive Vibratory Tests
Discovery of Exogenous Variables in Data with More Variables Than Observations
A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing
Echo State Property of Neuronal Cell Cultures
Towards Knowledge-driven Distillation and Explanation of Black-box Models
DaCon: Multi-Domain Text Classification Using Domain Adversarial Contrastive Learning
Blind Super-Resolution with Deep Convolutional Neural Networks
Optimal Learning Rates for Clifford Neurons
Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality
Evaluating CNNs on the Gestalt Principle of Closure
Dimension Reduction for Mixtures of Exponential Families
DeepPainter: Painter Classification Using Deep Convolutional Autoencoders
Biomedical Data Augmentation Using Generative Adversarial Neural Networks
A Spiking Neural Network Based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection
CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies
Transformation of Neural Oscillators
Cross-Domain Learning for Reference-Based Sketch Colorization with Structural and Colorific Strategy
HeteroCap: Hierarchical Visual-Semantic Fusion with Heterogeneous Graphs for Image Captioning
Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts
The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence
A Visual Object Recognition System Invariant to Scale and Rotation
Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks
Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor Data
Learning under Concept Drift with Support Vector Machines
Online Approximation of Prediction Intervals Using Artificial Neural Networks
UG-Net: Unsupervised-Guided Network for Biomedical Image Segmentation and Classification
Day Types Identification of Algerian Electricity Load Using an Image Based Two-Stage Approach
Meta-Style: Few-Shot Learning Dataset for Social Media Field
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures
Medical Image Segmentation and Saliency Detection Through a Novel Color Contextual Extractor
Self-Supervised Graph Convolution for Video Moment Retrieval
Optimal Tuning of Continual Online Exploration in Reinforcement Learning
Attentional Local Contrastive Learning for Face Forgery Detection
Striatal Processing of Cortical Neuronal Avalanches - A Computational Investigation
Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging
HFDA-Net: Utilizing High-Frequency Feature and Dual-Attention to Enhance Image Manipulation Detection and Localization
Augmentation Is What You Need!
Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experience
Pattern Classification Using Composite Features
On the Combination of Dissimilarities for Gene Expression Data Analysis
Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning
Reinforcement Learning in MirrorBot
An Overcomplete ICA Algorithm by InfoMax and InfoMin
Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding
Local Linear Model Trees for On-Line Identification of Time-Variant Nonlinear Dynamic Systems
A New Kernel-Based Algorithm for Online Clustering
Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance
Randomization vs Optimization in SVM Ensembles
Prompt-Oriented Fine-Tuning Dual Bert for Aspect-Based Sentiment Analysis
Connectionist Temporal Sequence Decoding: M-ary Hopfield Neural-Network with Multi-limit Cycle Formulation
The Information Content of Action Potential Trains - A Synaptic Basis
ResBuilder: Automated Learning of Depth with Residual Structures
Neural Network Adaptive Modeling of Battery Discharge Behavior
Alternatives to Parameter Selection for Kernel Methods
MuLVAT: A Video Annotation Tool Based on XML-Dictionaries and Shot Clustering
Ensemble Models of Learning Vector Quantization Based on Bootstrap Resampling
Hybrid Parallel Classifiers for Semantic Subspace Learning
Feature Ranking Methods Used for Selection of Prototypes
A Multi-stack Denoising Autoencoder for QoS Prediction
A Globally Asymptotically Stable Plasticity Rule for Firing Rate Homeostasis
Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks
Robustness of Deep LSTM Networks in Freehand Gesture Recognition
Time Series Processing with VCSEL-Based Reservoir Computer
Smooth Bayesian Kernel Machines
Scaffold Splits Overestimate Virtual Screening Performance
The CIRCE Head: A Biomimetic Sonar System
Large-Scale Real-Time Object Identification Based on Analytic Features
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part III
A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor
CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph
A Classification Performance Evaluation Measure Considering Data Separability
Expectation-MiniMax Approach to Clustering Analysis
ANODE-GAN: Incomplete Time Series Imputation by Augmented Neural ODE-Based Generative Adversarial Networks
Pre- and Postsynaptic Properties Regulate Synaptic Competition through Spike-Timing-Dependent Plasticity
CFNet: Point Cloud Upsampling via Cascaded Feedback Network
Introduction to Constructive and Optimization Aspects of SONN-3
Iterative Error Removal for Time-of-Flight Depth Imaging
Hearing Aid Classification Based on Audiology Data
Selective Multi-scale Learning for Object Detection
High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas
Unsupervised Shape Enhancement and Factorization Machine Network for 3D Face Reconstruction
Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning
Hypernetwork Knowledge Graph Embeddings
The Acquisition of New Categories through Grounded Symbols: An Extended Connectionist Model
Sensor-Enhanced PINNs for Contaminant Dispersion Modeling
Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge
Analytical Solution for Dynamic of Neuronal Populations
Product Unit Neural Networks with Constant Depth and Superlinear VC Dimension
Epilepsy Prediction Based onIntra- and Inter-channel Feature Mixing
Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
CurSegNet: 3D Dental Model Segmentation Network Based on Curve Feature Aggregation
Dynamic Memory-Based Continual Learning with Generating and Screening
Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters
The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks
Combining Attention and Value Maps
Monitoring and Assessment of Environmental Impact by Persistent Organic Pollutants
Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures
Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study
Analytic Equivalence of Bayes a Posteriori Distributions
Reinforcement Learning for the Privacy Preservation and Manipulation of Eye Tracking Data
Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform
A Portable Electronic Nose (E-Nose) System Based on PDA
Generating Question-Answer Pairs for Few-Shot Learning
Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena
Associative Memory Networks with Multidimensional Neurons
Nesterov Acceleration for the SMO Algorithm
A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike Trains
A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models
An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities
A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis
Echo State Network with Adversarial Training
Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs
Joint Weights-Averaged and Feature-Separated Learning for Person Re-identification
Brain Tumor Segmentation Framework Based on Edge Cloud Cooperation and Deep Learning
MUFASA: Multi-view Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection
Independent Deep Deterministic Policy Gradient Reinforcement Learning in Cooperative Multiagent Pursuit Games
Algorithms Creating Algorithms
SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy Plant
Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble
Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions
Three Approaches to Train Echo State Network Actors of Adaptive Critic Design
An Unsupervised Sentence Embedding Method by Maximizing the Mutual Information of Augmented Text Representations
Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification
Networking with Cognitive Packets
Approximation Errors of State and Output Trajectories Using Recurrent Neural Networks
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
Deep CNN-ELM Hybrid Models for Fire Detection in Images
Semantic Information Mining and Fusion Method for Bot Detection
SentiAug: Adaptive Keywords Replacement and Confidence-Guided Self-training Selection for Robust Sentiment Classification
Octonion-Valued Neural Networks
Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical Conditioning
Evaluation of Domain Adaptation Approaches for Robust Classification of Heterogeneous Biological Data Sets
Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster
A New Method of Learning Bayesian Networks Structures from Incomplete Data
Improving Our Understanding of the Behavior of Bees Through Anomaly Detection Techniques
FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data
Robust Unsupervised Competitive Neural Network by Local Competitive Signals
Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG Signals
A Neural Model of Binding and Capacity in Visual Working Memory
MTHGAT: A Neural Multi-task Model for Aspect Category Detection and Aspect Term Sentiment Analysis on Restaurant Reviews
Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural Network
The Complementary Brain (Abstract)
Alignment-Enhanced Network for Temporal Language Grounding in Videos
Real-Time and Personalized Product Recommendations for Large E-Commerce Platforms
GTFNet: Ground Truth Fitting Network for Crowd Counting
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
NeuralODE-Based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-Dimensional Dynamical Systems
3D Face Reconstruction with Geometry Details from a Single Color Image Under Occluded Scenes
Creation of Neural Networks Based on Developmental and Evolutionary Principles
Optimal Information Transmission Through Cortico-Cortical Synapses
Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion
Problem-Driven and Shape-Guided: Multi-scale Deform KAN for X-Shaped Anterior Visual Pathway Segmentation
Measurement of Finite-Precision Effects in Handwriting- and Speech-Recognition Algorithms
Extracting M of N Rules from Restricted Boltzmann Machines
Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction
Information-Theoretically Secure Neural Network Training with Flexible Deployment
Using Multiple Heads to Subsize Meta-memorization Problem
Multi Joint Arm Trajectory Formation Based on the Minimization Principle Using the Euler-Poisson Equation
Lamarckian Clonal Selection Algorithm with Application
Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement
Deep Graph and Sequence Representation Learning for Drug Response Prediction
Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets
An Improved Reinforcement Learning Based Heuristic Dynamic Programming Algorithm for Model-Free Optimal Control
Tempotron-Like Learning with ReSuMe
A Variational Formulation for the Multilayer Perceptron
Neuro-symbolic Representation of Logic Programs Defining Infinite Sets
Combining Character-Level Representation for Relation Classification
In Silico Study of Single Synapse Dynamics Using a Three-State Kinetic Model
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
DGFormer: A Dynamic Kernel with Gaussian Fusion Transformer for Semantic Image Segmentation
Temporal Data Encoding and SequenceLearning with Spiking Neural Networks
Real-Time Anomaly Detection with a Growing Neural Gas
Local Modeling Classifier for Microarray Gene-Expression Data
Using the Levenberg-Marquardt for On-line Training of a Variant System
Neural Architecture for Concurrent Map Building and Localization Using Adaptive Appearance Maps
Building Localized Basis Function Networks Using Context Dependent Clustering
Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III
Classifier Fusion: Combination Methods For Semantic Indexing in Video Content
A Variational Approach to Robust Regression
Image Inpainting Using Wasserstein Generative Adversarial Imputation Network
On Improving the Classification Capability of Reservoir Computing for Arabic Speech Recognition
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection
Tumble Tree - Reducing Complexity of the Growing Cells Approach
Linear Self-attention Approximation via Trainable Feedforward Kernel
An Information Theoretic Measure for the Classification of Time Series
Human Body Posture Recognition Using Wearable Devices
Evolutionary Artificial Neural Networks for Quadruped Locomotion
DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-Level and Feature-Level Fusion
Error Reduction in Holographic Movies Using a Hybrid Learning Method in Coherent Neural Networks
Multi-grained Aspect Fusion for Review Response Generation
A New Method of Feature Extraction and Its Stability
Independent Subspace Analysis Using k -Nearest Neighborhood Distances
Noise in Integrate-and-Fire Models of Neuronal Dynamics
Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance
Evaluation of Tag Clusterings for User Profiling in Movie Recommendation
Cognition is Not Computation; Evolution is Not Optimisation
Curious Hierarchical Actor-Critic Reinforcement Learning
Function Decomposition Network
How Degrading Networks Can Increase Cognitive Functions
A Novel Image Captioning Method Based on Generative Adversarial Networks
Distributed Faulty Sensor Detection in Sensor Networks
Real-Time Session-Based Recommendations Using LSTM with Neural Embeddings
Towards an Accurate Identification of Pyloric Neuron Activity with VSDi
Dual-FOFE-net Neural Models for Entity Linking with PageRank
Towards a New Information Processing Measure for Neural Computation
Self-perturbation and Homeostasis in Embodied Recurrent Neural Networks: A Meta-model and Some Explorations with Mechanisms for Sensorimotor Coordination
Attention Based Mechanism for Load Time Series Forecasting: AN-LSTM
Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse
Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems
Robust Population Coding in Free-Energy-Based Reinforcement Learning
Implementing Fuzzy Reasoning on a Spiking Neural Network
A Spatial Interpolation Method Based on Meta-learning with Spatial Weighted Neural Networks
Generation of Comprehensible Representations by Supposed Maximum Information
Neural Network Model for Maximum Ozone Concentration Prediction
Improving Gaussian Process Value Function Approximation in Policy Gradient Algorithms
Evolving Spiking Neural Parameters for Behavioral Sequences
Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection
An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS
Optimal Control Using Functional Type SIRMs Fuzzy Reasoning Method
Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns