yusuke1997/dblp-id-title huggingface dataset:
Hyper-spherical Reservoirs for Echo State Networks
SnoreOxiNet: Non-contact Diagnosis of Nocturnal Hypoxemia Using Cross-Domain Acoustic Features
Collaborative Multiple-Student Single-Teacher for Online Learning
CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning
Transfer Learning with Sparse Associative Memories
Missing Value Estimation Using Mixture of PCAs
Nonlinear Relational Markov Networks with an Application to the Game of Go
Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-Aware Contrastive Learning Network
CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Ground Image Synthesis
Increasing the Generalisaton Capacity of Conditional VAEs
Techniques for Still Image Scene Classification and Object Detection
Scene Graph Generation via Convolutional Message Passing and Class-Aware Memory Embeddings
Multitask Semi-supervised Learning with Constraints and Constraint Exceptions
The Complex Gaussian Kernel LMS Algorithm
A Markov Random Field Approach to Neural Encoding and Decoding
Autoencoding Ground Motion Data for Visualisation
Indefinite Support Vector Regression
Constructive Threshold Logic Addition A Synopsis of the Last Decade
A Discrete Adaptive Stochastic Neural Model for Constrained Optimization
Adaptation of Weighted Fuzzy Programs
Multiscale Spatial and Temporal Learning for Human Motion Prediction
Mental Tasks Classification for a Noninvasive BCI Application
Neural Network Classifers in Arrears Management
Analyzing Purchase Data by a Neural Net Extension of the Multinomial Logit Model
Regression by Topological Map: Application on Real Data
VPNDroid: Malicious Android VPN Detection Using a CNN-RF Method
Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis
A Blockchain Based Decentralized Gradient Aggregation Design for Federated Learning
Event Association Analysis Using Graph Rules
One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis
Adaptive Importance Sampling Technique for Neural Detector Training
Keypoint-Based Diffusion for Robotic Motion Planning on the NICOL Robot
Generation of Reference Trajectories for Safe Trajectory Planning
Adaptive Neural Oscillator with Synaptic Plasticity Enabling Fast Resonance Tuning
PART-GAN: Privacy-Preserving Time-Series Sharing
Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton's Method
Class-Specific Sparse Coding for Learning of Object Representations
Towards Better Receptor-Ligand Prioritization: How Machine Learning on Protein-Protein Interaction Data Can Provide Insight Into Receptor-Ligand Pairs
A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability
Towards Integration of Nerve Cells and Silicon Devices
Resonator-Gated RNNs
Dynamic Action Inference with Recurrent Spiking Neural Networks
SalientFusion: Context-Aware Compositional Zero-Shot Food Recognition
Better Few-Shot Text Classification with Pre-trained Language Model
SOS-HMM: Self-Organizing Structure of Hidden Markov Model
Multi-Branch Network for Small Human Pose Estimation
Personalized Web Page Filtering Using a Hopfield Neural Network
Uniform Representation of Parametric CAD Models for Generative Application
BiSMSM: A Hybrid MLP-Based Model of Global Self-Attention Processes for EEG-Based Emotion Recognition
A Genetic Model and the Hopfield Networks
MEA-TransUNet: A Multiple External Attention Network for Multi-Organ Segmentation
Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts
Efficient Pattern Discrimination with Inhibitory WTA Nets
How to Compare Adversarial Robustness of Classifiers from a Global Perspective
TCS-LipNet: Temporal & Channel & Spatial Attention-Based Lip Reading Network
Hop-Gated Graph Attention Network for ASD Diagnosis via PC-Based Graph Regularization Sparse Representation
A Unification of Genetic Algorithms, Neural Networks an Fuzzy Logic: The GANNFL Approach
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures
Use of Magnetomyographic (MMG) Signals to Calculate the Dependency Properties of the Active Sensors in Myometrial Activity Monitoring
AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation
Exponential Hebbian On-Line Learning Implemented in FPGAs
T-DVAE: A Transformer-Based Dynamical Variational Autoencoder for Speech
Dynamics of a Plastic Cortical Network
Improving Physics-Informed Neural Network Extrapolation via Transfer Learning and Adaptive Activation Functions
Incremental Acquisition of Local Networks for the Control of Autonomous Robots
Interplay of STDP and Dendritic Plasticity in a Hippocampal CA1 Pyramidal Neuron Model
Inter-subtask Consistent Representation Learning for Visual Commonsense Reasoning
Making Stochastic Networks Deterministic
Tool Wear Prediction in Milling Using Neural Networks
Global-to-Contextual Shared Semantic Learning for Fine-Grained Vision-Language Alignment
Features and Metric from a Classifier Improve Visualizations with Dimension Reduction
Learning Simplified Decision Boundaries from Trapezoidal Data Streams
Symbolic Association Using Parallel Multilayer Perceptron
Local Normalization Based BN Layer Pruning
BFRIFP: Brain Functional Reorganization Inspired Filter Pruning
Neuro-Biological Bases for Spatio-Temporal Data Coding in Artificial Neural Networks
Noise Quality and Super-Turing Computation in Recurrent Neural Networks
Constraint-Based Visual Generation
Self-Organizing Operator Maps in Complex System Analysis
No-Reference Video Quality Assessment Design Framework Based on Modular Neural Networks
More Attentional Local Descriptors for Few-Shot Learning
New Approach for Clustering Relational Data Based on Relationship and Attribute Information
Body Model Transition by Tool Grasping During Motor Babbling Using Deep Learning and RNN
An Analog CMOS Neural Network with On-Chip Learning and Multilevel Weight Storage
Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning
Drawing Attention to the Dangerous
Learning Distance-Behavioural Preferences Using a Single Sensor in a Spiking Neural Network
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting
PIMSeg: Point Cloud Segmentation via 2D Image Mapping and Multimodal Feature Integration
Dep-ViT: Uncertainty Suppression Model Based on Facial Expression Recognition in Depression Patients
A Hybrid Neural Model in Long-Term Electrical Load Forecasting
Evolving Memory Cell Structures for Sequence Learning
Direction Selective Two-Dimensional Analog Circuits Using Biomedical Vision Model
RDGE-6D: Reverse Direction Geometry Injection for 6D Pose Estimation
A New Nearest Neighbor Median Shift Clustering for Binary Data
Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes
Learning Video Localization on Segment-Level Video Copy Detection with Transformer
Dynamics of Citation Networks
Simultaneously Learning Architectures and Features of Deep Neural Networks
Visual Shape Recognition Neural Network Using BESOM Model
Convolutional Neural Networks for Radar Detection
Embedding Complexity of Learned Representations in Neural Networks
An Artificial Neural Network Based Simulation Metamodeling Approach for Dual Resource Constrained Assembly Line
Temporal Hebbian Self-Organizing Map for Sequences
Improving Humanoid Robot Speech Recognition with Sound Source Localisation
Optimal Hebbian Learning: A Probabilistic Point of View
PaRCE: Probabilistic and Reconstruction-Based Competency Estimation for Image Classification
An Inductive Learning Algorithm with a Partial Completeness and Consistence via a Modified Set Covering Problem
Estimating and Factoring the Dropout Induced Distribution with Gaussian Mixture Model
A Way to Aggregate Multilayer Neural Networks
Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth
Spatio-Temporal Attention Model with Prior Knowledge for Solar Wind Speed Prediction
Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point Representation
Swin-DAG-VNet for Fetal Head Segmentation and Elliptical Parameter Regression for Circumference Measurement
Spiking Convolutional Deep Belief Networks
Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning
Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems
Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance
Policy Gradients for Cryptanalysis
Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input
Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples
Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders
Meta-learning for Fast Incremental Learning
Emotion Aware Reinforcement Network for Visual Storytelling
Imbalanced Few-Shot Learning Based on Meta-transfer Learning
DISEncoder: A Dual-Branch Query Encoder Using Graph Models for Distributed Databases
Practical Fractional-Order Neuron Dynamics for Reservoir Computing
Coexistence of Cell Assemblies and STDP
Factor Graph Inference Engine on the SpiNNaker Neural Computing System
Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors
IBDNet: Lightweight Network for On-orbit Image Blind Denoising
Analogue Resolution in a Model of the Schaffer Collaterals
Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents
Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks
Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I
Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts
Hebbian Delay Adaptation in a Network of Integrate-and-Fire Neurons
Bidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methods
On the Basis Updating Rule of Adaptive-Subspace Self-Organizing Map (ASSOM)
Multigrid Reinforcement Learning with Reward Shaping
Classification with Reject Option Using the Self-Organizing Map
Feature Extraction with Weighted Samples Based on Independent Component Analysis
Contextual Learning in the Neurosolver
Wavelet Based Estimation of Saliency Maps in Visual Attention Algorithms
Mental Workload Classification Based on Semi-Supervised Extreme Learning Machine
Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference
Combination Methods for Ensembles of MF
The Use of Feed Forward Neural Network for Recognizing Characters of Dactyl Alphabet
Product Positioning Using Principles from the Self-Organizing Map
Blind Source Separation of Single Components from Linear Mixtures
BERT-Based Scientific Paper Quality Prediction
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling
A Hybrid Approach for Artifact Detection in EEG Data
Stochastic Covariance Regularization for Imbalanced Datasets
OWS-Seg: Online Weakly Supervised Video Instance Segmentation via Contrastive Learning
Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition
Computational Analysis of Robustness in Neural Network Classifiers
Blurred Image Recognition: A Joint Motion Deblurring and Classification Loss-Aware Approach
Tooth Segmentation from Cone-Beam CT Images Through Boundary Refinement
Robustness of Biologically Grounded Neural Networks Against Image Perturbations
Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller
A Multi-modal Spiking Meta-learner with Brain-Inspired Task-Aware Modulation Scheme
Unsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild
DOT-VAE: Disentangling One Factor at a Time
Sequential Self-Attentive Model for Knowledge Tracing
Adaptive Consensus-Based Ensemble for Improved Deep Learning Inference Cost
ROFusion: Efficient Object Detection Using Hybrid Point-Wise Radar-Optical Fusion
Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots
Feature Extraction for One-Class Classification
Long-Term Prediction of Time Series Using State-Space Models
Realization of Geometric Illusions and Geometry of Visual Space with Neural Networks
Analysis and Interpretation of ECG Time Series Through Convolutional Neural Networks in Brugada Syndrome Diagnosis
Reinforcement Symbolic Learning
A Novel Method for Ship Detection and Classification on Remote Sensing Images
A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model
A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences
Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware
Label Enhanced Graph Attention Network for Truth Inference
Combining Regularized Neural Networks
Point-Based Weakly Supervised 2.5D Cell Segmentation
Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study
Reinforced Multi-teacher Knowledge Distillation for Unsupervised Sentence Representation
Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm
Dense Receptive Field Network: A Backbone Network for Object Detection
Neural Computation with Spiking Neural Networks Composed of Synfire Rings
Learning Vector Quantization for Multimodal Data
Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity
Linear Memory Networks
Maximizing the Ratio of Information to Its Cost in Information Theoretic Competitive Learning
Capsule Networks with Routing Annealing
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks
Time-Scaling in Recurrent Neural Learning
Cross-Modal Attention Alignment Network with Auxiliary Text Description for Zero-Shot Sketch-Based Image Retrieval
An Information Geometrical View of Stationary Subspace Analysis
Bi-level Optimization Method for Automatic Reward Shaping of Reinforcement Learning
Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model
Multi-view Cascading Spatial-Temporal Graph Neural Network for Traffic Flow Forecasting
A Computational System of Metaphor Generation with Evaluation Mechanism
Statistical Certification of Acceptable Robustness for Neural Networks
Mass-Spring Damper Array as a Mechanical Medium for Computation
On the Quantification of Dynamics in Reservoir Computing
Excitation/Inhibition Patterns in a System of Coupled Cortical Columns
Ensemble-Teacher Learning through a Perceptron Rule with a Margin
Regularization for Hybrid N-Bit Weight Quantization of Neural Networks on Ultra-Low Power Microcontrollers
Detailed Learning in Narrow Fields - Towards a Neural Network Model of Autism
Why Deeper Graph Neural Network Performs Worse? Discussion and Improvement About Deep GNNs
Ranking Feature-Block Importance in Artificial Multiblock Neural Networks
Simulation of Spiking Neural Networks on Different Hardware Platforms
GNN Graph Classification Method to Discover Climate Change Patterns
A Neural Model of the Fly Visual System Applied to Navigational Tasks
Modelling Path Integrator Recalibration Using Hippocampal Place Cells
Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection
Sliding Mode Control of Robot Based on Neural Network Model with Positive Definite Inertia Matrix
Learning Relational-Structural Networks for Robust Face Alignment
Geometry of Orientation Preference Map Determines Nonclassical Receptive Field Properties
Boost Predominant Instrument Recognition Performance with MagiaSearch and MagiaClassifier
Evolving Modular Fast-Weight Networks for Control
A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation
Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure
Comparison of Graph Node Distances on Clustering Tasks
A Policy for Early Sequence Classification
Fault Severity Estimation in Rotating Mechanical Systems Using Feature Based Fusion and Self-Organizing Maps
The Optimization and Parallelization of Two-Dimensional Zigzag Scanning on the Matrix
Building the Cerebellum in a Computer
Designing Neural Networks by a Combination of Structural Learning and Genetic Algorithms
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I
Efficient Adaptation of Structure Metrics in Prototype-Based Classification
Confluent Preorder Parser as Finite State Automata
Compact Associative Memory for AER Spike Decoding in FPGA-Based Evolvable SNN Emulation
Time-Series Prediction of Calcium Carbonate Concentration in Flue Gas Desulfurization Equipment by Optimized Echo State Network
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
Hybrid Evolution of Heterogeneous Neural Networks
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms
Large Language Model for Action Anticipation
A Mathematical Analysis of a Correlation Based Model for the Orientation Map Formation
CycleIK: Neuro-inspired Inverse Kinematics
A Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting
Enhancing LM's Task Adaptability: Powerful Post-training Framework with Reinforcement Learning from Model Feedback
Empirical Study on the Effect of Residual Networks on the Expressiveness of Linear Regions
Complexity Selection of the Self-Organizing Map
An Algorithm for Directed Graph Estimation
Neural Network Algorithm for Events Forecasting and Its Application to Space Physics Data
Merging Versus Separating Replay Samples in Continual Learning
Decision Making Logic of Visual Brain
TimeFlowDiffuser: A Hierarchical Diffusion Framework with Adaptive Context Sampling for Multi-horizon Time Series Forecasting
Model-Based Identification of EEG Markers for Learning Opportunities in an Associative Learning Task with Delayed Feedback
Sequential Learning for SOM Associative Memory with Map Reconstruction
Time Series Anomaly Detection with Reconstruction-Based State-Space Models
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory
Hippocampal Formation Trains Independent Components via Forcing Input Reconstruction
Complex-Valued Multilayer Perceptron Search Utilizing Singular Regions of Complex-Valued Parameter Space
Predicting the Occupancy of the HF Amateur Service with Neural Network Ensembles
Binary Patterns Identification by Vector Neural Network with Measure of Proximity between Neuron States
Risk Stratification of Malignant Melanoma Using Neural Networks
Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms
Semantic Queries Explaining Opaque Machine Learning Classifiers
Computational Inferences on Alteration of Neurotransmission in Chemotaxis Learning in Caenorhabditis elegans
Hyperspectral Endoscopy Using Deep Learning for Laryngeal Cancer Segmentation
Predictive Speech Coding Improvements Based on Speaker Recognition Strategies
Transferable Adversarial Cycle Alignment for Domain Adaption
RATS: Robust Automated Tracking and Segmentation of Similar Instances
Initial Evolution Results on CAM-Brain Machines (CBMs)
Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System
STGNA: Spatial-Temporal Graph Convolutional Networks with Node Level Attention for Shortwave Communications Parameters Forecasting
A Layered Recurrent Neural Network for Feature Grouping
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Neural Learning Invariant to Network Size Changes
Gene Extraction for Cancer Diagnosis by Support Vector Machines
A Comparison of Three Methods with Implicit Features for Automatic Identification of P300s in a BCI
A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences
Using Multilayer Perceptrons to Align High Range Resolution Radar Signals
Ensemble Techniques for Credibility Estimation of GAME Models
Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge
Overcomplete ICA with a Geometric Algorithm
To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries
Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency Detection
Integrating Audio-Visual Contexts with Refinement for Segmentation
Classification of Voice Aging Using Parameters Extracted from the Glottal Signal
Context-Based Cognitive Map Learning for an Autonomous Robot Using a Model of Cortico-Hippocampal Interplay
MADNet: EEG-Based Depression Detection Using a Deep Convolution Neural Network Framework with Multi-dimensional Attention
3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks
Generalised Controller Design Using Continual Learning
Bi-ResNet: Fully Automated Classification of Unregistered Contralateral Mammograms
Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification
Chinese Image Character Recognition Using DNN and Machine Simulated Training Samples
Model Clustering for Neural Network Ensembles
A Neural Model in Intrusion Detection Systems
Deep Recurrent Policy Networks for Planning Under Partial Observability
Event Related Potentials Reveal Fairness in Willingness-to-share
A Novel Graph Neural Network Based Model for Text Classification
Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis
Sentence-Level Evaluation Using Co-occurences of N-Grams
Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals
Learning Structure with Many-Take-All Networks
SDCN: A Species-Disease Hybrid Convolutional Neural Network for Plant Disease Recognition
DDPM-MoCo: Enhancing the Generation and Detection of Industrial Surface Defects Through Generative and Contrastive Learning
Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study
Fuzzy Symbolic Dynamics for Neurodynamical Systems
Modelling Speech Processing and Recognition in the Auditory System with a Three-Stage Architecture
Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer
An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization
Signal Enhancement for Continuous Speech Recognition
ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification
Optimal Node Embedding Dimension Selection Using Overall Entropy
Structure Perturbation Optimization for Hopfield-Type Neural Networks
Detecting Scarce Emotions Using BERT and Hyperparameter Optimization
Cross-Domain Sentiment Classification Using Topic Attention and Dual-Task Adversarial Training
Self-Organizing Topology Evolution of Turing Neural Networks
Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques
Relevance and Kernel Self-Organising Maps
On Incorporating Seasonal Information on Recursive Time Series Predictors
Modeling Context-Guided Visual and Linguistic Semantic Feature for Video Captioning
Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential
Estimation of Air Quality Index from Seasonal Trends Using Deep Neural Network
Distributed Control over Networks Using Smoothing Techniques
Fixed Points of the Abe Formulation of Stochastic Hopfield Networks
Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters
System Architecture for a Smart University Building
Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks