yusuke1997/dblp-id-title huggingface dataset:
Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity
Textbook Question Answering with Multi-type Question Learning and Contextualized Diagram Representation
SpikeStream: A Fast and Flexible Simulator of Spiking Neural Networks
Say in Human-Like Way: Hierarchical Cross-modal Information Abstraction and Summarization for Controllable Captioning
Extracting Muscle Synergy Patterns from EMG Data Using Autoencoders
Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data
Sustainable Techniques to Improve Data Quality for Training Image-Based Explanatory Models for Recommender Systems
Federated Privacy-Preserving for Cross-Domain Sequential Recommendation
Effect of Neuromodulation on the Brain Dynamical Repertoire
Learning Internal Dense But External Sparse Structures of Deep Convolutional Neural Network
Marginal Replay vs Conditional Replay for Continual Learning
Kullback-Leibler Divergence for Nonnegative Matrix Factorization
A Technical Trading Indicator Based on Dynamical Consistent Neural Networks
Interesting Receptive Region and Feature Excitation for Partial Person Re-identification
Knowledge Incorporation and Rule Extraction in Neural Networks
DT2I: Dense Text-to-Image Generation from Region Descriptions
Analyzing the Formation of Structure in High-Dimensional Self-Organizing Maps Reveals Differences to Feature Map Models
SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis
Some Properties of the Gaussian Kernel for One Class Learning
On the Anatomical Basis of Field Size, Contrast Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model Study
Fusion Architectures for the Classification of Time Series
Generalized Softmax Networks for Non-linear Component Extraction
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Snap-Drift Self Organising Map
Organising the Complexity of Behaviour
Symbolic Prosody Modeling by Causal Retro-causal NNs with Variable Context Length
Data Diversification Revisited: Why Does It Work?
Security Assessment of Hierarchical Federated Deep Learning
Glancing Text and Vision Regularized Training to Enhance Machine Translation
Towards Relational Multi-Agent Reinforcement Learning via Inductive Logic Programming
Scalable Kernel Systems
Is Primal Better Than Dual
Multiresolution Support for Adaptive Image Restoration Using Neural Networks
Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion
Increasing Reliability of SOMs' Neighbourhood Structure with a Bootstrap Process
An Algorithm for Bootstrapping the Core of a Biologically Inspired Motor Control System
Memory Capacity of Input-Driven Echo State Networks at the Edge of Chaos
Supervised Attention Using Homophily in Graph Neural Networks
Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component
Efficient Cross-Validation of Echo State Networks
RRetFC: Leveraging Recursive Retrieval For LLM-Enhanced Complex Fact-Checking
Quantifying Robustness and Capacity of Reservoir Computers with Consistency Profiles
Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural Network
Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models
Swap Kernel Regression
Dynamic Feature Linking in Stochastic Networks with Short Range Interactions
Benchmarking Incremental Regressors in Traversal Cost Assessment
MUST Augment: Efficient Augmentation with Multi-stage Stochastic Strategy
Accelerating Training of Deep Neural Networks via Sparse Edge Processing
Voting-Merging: An Ensemble Method for Clustering
Generalisation Improvement of Radial Basis Function Networks Based on Qualitative Input Conditioning for Financial Credit Risk Prediction
Shape from Shading by Model Inclusive Learning with Simultaneously Estimating Reflection Parameters
Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps
Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI)
Deep-Learning Based Three Channel Defocused Projection Profilometry
STAN: Spatio-Temporal Alignment Network for No-Reference Video Quality Assessment
Model Reference Control Using CMAC Neural Networks
A Temporal Estimate of Integrated Information for Intracranial Functional Connectivity
A Scene Text Detection Method Based on Supervised Contrastive Learning
A SOM Based 2500 - Isolated - Farsi - Word Speech Recognizer
Hebbian Multilayer Network in a Wheelchair Robot
Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network
Image Captioning for Nantong Blue Calico Through Stacked Local-Global Channel Attention Network
CrossNets: Neuromorphic Networks for Nanoelectronic Implementation
Understanding Image Classification Prediction with Any Segment Explanation
An Improved Greedy Bayesian Network Learning Algorithm on Limited Data
Infinite Sparse Threshold Unit Networks
GNMF with Newton-Based Methods
Developmental Predictive Coding Model for Early Infancy Mono and Bilingual Vocal Continual Learning
Fast Support Vector Training by Newton's Method
HYDRA: From Cellular Biology to Shape-Changing Artefacts
A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part II
Creating Term Associations Using a Hierarchical ART Architecture
Continuous Attractors of Lotka-Volterra Recurrent Neural Networks
Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach
Evolutionary Tuning of a Pulse Mormyrid Electromotor Model to Generate Stereotyped Sequences of Electrical Pulse Intervals
OP-ELM: Theory, Experiments and a Toolbox
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach
Referring Expression Comprehension via Co-attention and Visual Context
KELTP: Keyword-Enhanced Learned Token Pruning for Knowledge-Grounded Dialogue
Speeding-up Reinforcement Learning with Multi-step Actions
Co-occurrence Matrixes for the Quality Assessment of Coded Images
QuasiNet: A Neural Network with Trainable Product Layers
Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training
Boosting Reinforcement Learning with Unsupervised Feature Extraction
Vehicle Plate Recognition Using Improved Neocognitron Neural Network
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
Combining Multiple Inputs in HyperNEAT Mobile Agent Controller
Neural Network Topology Optimization
Partially Activated Neural Networks by Controlling Information
FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset
GH-QFL: Enhancing Industrial Defect Detection Through Hard Example Mining
Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling
Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems
Hierarchical Clustering for Efficient Memory Allocation in CMAC Neural Network
Image Caption with Prior Knowledge Graph and Heterogeneous Attention
Learning Sequence Neighbourhood Metrics
New Ears for a Robot Cricket
Self-attention StarGAN for Multi-domain Image-to-Image Translation
The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data
GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge
A Multivariate Approach to Estimate Complexity of FMRI Time Series
Semantic Space Transformations for Cross-Lingual Document Classification
Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization
LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition
A Multi-level Attention Model for Text Matching
Critical Assessment of Option Pricing Methods Using Artificial Neural Networks
A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences
A Model for Delay Activity Without Recurrent Excitation
Classification of Meteorological Patterns
CLASPPNet: A Cross-Layer Multi-class Lane Semantic Segmentation Model Fused with Lane Detection Module
An Improved YOLOv5 with Structural Reparameterization for Surface Defect Detection
Generalization of Elman Networks
Modification of Kohonen's SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns
Emulating Process Simulators with Learning Systems
Adaptive On-line Learing Algorithm for Robust Estimation of Parameters of Noisy Sinusoidal Signals
State-of-the-Art and Recent Progress in Hybrid HMM/ANN Speech Recognition
Learning Manifolds in Forensic Data
Attention-Based Bi-LSTM for Anomaly Detection on Time-Series Data
Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface
Enhanced Point Cloud Interpretation via Style Fusion and Contrastive Learning in Advanced 3D Data Analysis
Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters
Tools for Address-Event-Representation Communication Systems and Debugging
Boosting Both Robustness and Hardware Efficiency via Random Pruning Mask Selection
Pie-UNet: A Novel Parallel Interaction Encoder for Medical Image Segmentation
Biologically-Inspired Digital Architecture for a Cortical Model of Orientation Selectivity
Conditionally Independent Component Extraction for Naive Bayes Inference
An Exploitation-Enhanced Bayesian Optimization Algorithm for High-Dimensional Expensive Problems
Sequential Classification of Probabilistic Independent Feature Vectors Based on Multilayer Perceptron
Superior-Order Curvature-Corrected Voltage Reference Using a Current Generator
Research on Electrotactile Representation Technology Based on Spatiotemporal Dual-Channel
A Study on the Influence of Wavelet Number Change in the Wavelet Neural Network Architecture for 3D Mesh Deformation Using Trust Region Spherical Parameterization
Polar Sine Based Siamese Neural Network for Gesture Recognition
Communicative Interactivity - A Multimodal Communicative Situation Classification Approach
Adaptive Neural Control of Nonlinear Systems
Asymmetries in Synaptic Connections and the Nonlinear Fokker-Planck Formalism
Investigation of Brain-Computer Interfaces That Apply Sound-Evoked Event-Related Potentials
Learning Structurally Analogous Tasks
Exploration of Loneliness Questionnaires Using the Self-Organising Map
TransVQ-VAE: Generating Diverse Images Using Hierarchical Representation Learning
StTime-Net: Combining both Historical and Textual Factors for Stock Movement Prediction
Amortizing Personalization in Virtual Brain Twins
MAGIC: Multi-prompt Any Length Video Generation Model with Controllable Inter-frame Correlation and Low Barrier
Selection of Meta-parameters for Support Vector Regression
Efficient Reinforcement Learning Using State-Action Uncertainty with Multiple Heads
Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model
Neural Networks, Clustering Techniques, and Function Approximation Problems
Transitions Among Metastable States Underlie Context-Dependent Working Memories in a Multiple Timescale Network
Multilinear Decomposition and Topographic Mapping of Binary Tensors
Cross-Camera Prototype Learning for Intra-camera Supervised Person Re-identification
Adaptive Compatibility Matrix for Superpixel-CRF
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator
A Hierarchical Learning Rule for Independent Component Analysis
A Study on Catastrophic Forgetting in Deep LSTM Networks
Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning
Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus Images
The View-Graph Approach to Visual Navigation and Spatial Memory
Facial Expression Recognition Method Based on a Part-Based Temporal Convolutional Network with a Graph-Structured Representation
Towards Personalized Neural Networks for Epileptic Seizure Prediction
Weight Discretization due to Optical Constraints and Its Influence on the Generalization Abilities of a Simple Perceptron
Label-Description Enhanced Network for Few-Shot Named Entity Recognition
Few-Shot Learning for Syndrome Differentiation with Two Prompts
Capsule Networks for Attention Under Occlusion
Feature Conjunctions in Visual Search
DVAMN: Dual Visual Attention Matching Network for Zero-Shot Action Recognition
Solution of an Inverse Problem in Raman Spectroscopy of Multi-component Solutions of Inorganic Salts by Artificial Neural Networks
Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor
FDFRL: Credit Card Fraud Detection Based on Federated Reinforcement Learning
A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks
Face Super-Resolution with Spatial Attention Guided by Multiscale Receptive-Field Features
Feature Binding Through Temporally Correlated Neural Activity in a Robot Model of Visual Perception
Adaptive Training Strategies for Small Object Detection Using Anchor-Based Detectors
Recognition of Gestural Object Reference with Auditory Feedback
Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection
Attention-Based 3D Neural Architectures for Predicting Cracks in Designs
Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking
Reinforcement Learning Informed by Optimal Control
LocalNorm: Robust Image Classification Through Dynamically Regularized Normalization
Category Enhanced Dual View Contrastive Learning for Session-Based Recommendation
A Robust Evolutionary Optimisation Approach for Parameterising a Neural Mass Model
Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network
Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons
A Neural Network of Multiresolution Wavelet Analysis
Optimal Weight Decay in a Perceptron
A Biologically Realizable Bayesian Computation in a Cortical Neural Network
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition
Single Neurons with Delay-Based Learning Can Generalise Between Time-Warped Patterns
Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor
Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II
ACM: Learning Dynamic Multi-agent Cooperation via Attentional Communication Model
A Corpus-Based Computational Model of Metaphor Understanding Incorporating Dynamic Interaction
Theoretical Analysis of Cross-Validation(CV)-EM Algorithm
Classifying Unprompted Speech by Retraining LSTM Nets
Discriminant Parallel Perceptrons
Bio-inspired Architecture for Human Detection
RA-Net: A Deep Learning Approach Based on Residual Structure and Attention Mechanism for Image Copy-Move Forgery Detection
An Architectural Study of a Massively Parallel Processor for Convolution-Type Operations in Complex Vision Tasks
Recurrent Neural Networks Are Universal Approximators
M-ary Hopfield Neural Network Based Associative Memory Formulation: Limit-Cycle Based Sequence Storage and Retrieval
Knowledge Graph Bidirectional Interaction Graph Convolutional Network for Recommendation
Fast and Efficient Training of RBF Networks
Graph Classification with 2D Convolutional Neural Networks
Models of Self-correlation Type Complex-Valued Associative Memories and Their Dynamics
Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm
Variational Bayesian Image Super-Resolution with GPU Acceleration
Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition
Localization of Attended Multi-feature Stimuli: Tracing Back Feed-Forward Activation Using Localized Saliency Computations
Improving Active Learning by Avoiding Ambiguous Samples
Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes
Context-Assisted Attention for Image Captioning
Research on Image-to-Image Translation with Capsule Network
Prototypes Within Minimum Enclosing Balls
An Evaluation of the Image Recognition Method Using Pulse Coupled Neural Network
A Shallow Information Enhanced Efficient Small Object Detector Based on YOLOv5
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
Extraction of Coherent Information from Non-Overlapping Receptive Fields
How Inductive Biases Affect OOD Generalization: A Study in Formal Language Recognition with Autoregressive Models
Induced Weights Artificial Neural Network
Dilated Residual Aggregation Network for Text-Guided Image Manipulation
Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack
Human Action Recognition with Hierarchical Growing Neural Gas Learning
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part V
Supervised Feature Selection with Class Self-representation
Energy Conservation in Infinitely Wide Neural-Networks
Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification
Use of Riemannian Distance Metric to Verify Topological Similarity of Acoustic and Text Domains
Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines
Position and Type Aware Anchor Link Prediction Across Social Networks
The Emergence of Visual Object Recognition
HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision
A Feature Map Approach to Pose Estimation Based on Quaternions
Generalising the Discriminative Restricted Boltzmann Machines
TransNoise: Transferable Universal Adversarial Noise for Adversarial Attack
An Intelligent Scheme for Facial Expression Recognition
Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition
Comparison of Neural Network Robot Models with Not Inverted and Inverted Inertia Matrix
Mental Imagery-Driven Neural Network to Enhance Representation for Implicit Discourse Relation Recognition
A Transformer Model for Retrosynthesis
Adaptive Natural Gradient Learning Algorithms for Unnormalized Statistical Models
Mapping of Multilayer Perceptron Networks to Partial Tree Shaped Parallel Neurocomputer
Option Pricing with the Product Constrained Hybrid Neural Network
The Application of Neural Networks to Electric Power Grid Simulation
A Novel Encoder and Label Assignment for Instance Segmentation
Model Derived Spike Time Dependent Plasticity
A New Sequential Algorithm for Regression Problems by Using Mixture Distribution
Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography
Hierarchical Diachronic Embedding of Knowledge Graph Combined with Fragmentary Information Filtering
MPCCP: A Multi-chain Perception Crime Charge Prediction Method
Investigating Similarity of Ontology Instances and Its Causes
A Locally Recurrent Globally Feed-Forward Fuzzy Neural Network for Processing Lung Sounds
Machine Learning and Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis
Learning with Ensemble of Linear Perceptrons
The Extreme Energy Ratio Criterion for EEG Feature Extraction
Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models
Unveiling Vulnerabilities in Large Vision-Language Models: The SAVJ Jailbreak Approach
Confidence Estimation Using the Incremental Learning Algorithm, Learn++
Dependent Multilevel Interaction Network for Natural Language Inference
Loop Closure Detection Based on Siamese ConvNet Features and Geometrical Verification for Visual SLAM
Fusing Images with Multiple Focuses Using Support Vector Machines
Sequential Learning with LS-SVM for Large-Scale Data Sets
A Self-organizing Neural System for Background and Foreground Modeling
REM: A Ranking-Based Automatic Evaluation Method for LLMs
Learning in a Unitary Coherent Hippocampus
A Self-Organizing Map for Controlling Artificial Locomotion
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization
Factors Influencing Polychronous Group Sustainability as a Model of Working Memory
Decreasing Neighborhood Revisited in Self-Organizing Maps
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines
Comparing Action Sets: Mutual Information as a Measure of Control
Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition
Neural Network Ensemble Training by Sequential Interaction
PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data
Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of Partial Concentrations of Salts in Multi-сomponent Water Solutions
Connectionist Models for Formal Knowledge Adaptation
Integration of Static and Self-motion-Based Depth Cues for Efficient Reaching and Locomotor Actions
Non-linear Predictive Models for Speech Processing
Deep Unitary Convolutional Neural Networks
Bio-inspired Connectionist Architecture for Visual Detection and Refinement of Shapes
Calibration of Parallel Robots by Evolutionary Algorithm
Integrated Actor-Critic for Deep Reinforcement Learning
Learning Flexible Translation Between Robot Actions and Language Descriptions
On the Bayesian Interpretation of Robust Regression Neural Networks
Recovery of Performance in a Partially Connected Associative Memory Network Through Coding
Robust De-noising by Kernel PCA
A Probability Estimation Based Criteria for Model Evaluation
A Target Dominant Sets Clustering Algorithm
Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks
CNN Based Hole Filler Template Design Using Numerical Integration Techniques
Human Recognition by Gait Analysis Using Neural Networks
Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training
Information Retrieval Based on a Neural-Network System with Multi-stable Neurons
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach
DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks
Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor
A Neural Dynamic Architecture Resolves Phrases about Spatial Relations in Visual Scenes
A Three-Phases-LORA Finetuned Hybrid LLM Integrated with Strong Prior Module in the Education Context
Stochastic Weights Reinforcement Learning for Exploratory Data Analysis
The Support Vector Method
F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models
The Application of Radial Basis Function Networks with Implicit Continuity Constraints
A Model of Grid Cells Based on a Path Integration Mechanism
A Dynamical Model for Receptive Field Self-organization in V1 Cortical Columns
Deep Autoencoders for Additional Insight into Protein Dynamics
A Fixed-Point Algorithm of Topographic ICA
Neural Field Model for Measuring and Reproducing Time Intervals
A Fast and Efficient Method for Compressing fMRI Data Sets
Visual-Textual Semantic Alignment Network for Visual Question Answering
Dual Dreamer: Extending Single-View Dreamer with Few Shot of Complementary Views
Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms
A Hybrid Model Based on Samples Difficulty for Imbalanced Data Classification
Action Units Classification Using ClusWiSARD
Robust Logo Detection Across Large Style Variations
Mix-Matrix Transformation Method for Max-Сut Problem