yusuke1997/dblp-id-title huggingface dataset:
SPM-Diffusion for Temperature Prediction
A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex
Real-Time Display of Spiking Neural Activity of SIMD Hardware Using an HDMI Interface
Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models
F2Unet: F-Shaped U-Net Architecture for Medical Image Segmentation Combining Fourier Transforms
Few-Shot NeRF-Based View Synthesis for Viewpoint-Biased Camera Pose Estimation
Implementation of a Masking Network for Speech Perception
Computational Approach to Identifying Contrast-Driven Retinal Ganglion Cells
Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype
Directional Data Analysis for Shape Classification
FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Generalized Net Models of MLNN Learning Algorithms
Jacobian Ensembles Improve Robustness Trade-Offs to Adversarial Attacks
An Approach to Encode Multilayer Perceptrons
Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes
High-Order Fuzzy Switching Neural Networks: Application to the Tracking Control of a Class of Uncertain SISO Nonlinear Systems
Spectra of the Spike Flow Graphs of Recurrent Neural Networks
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
Improved Adaline Networks for Robust Pattern Classification
Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV
LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System
Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization
Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part II
Realizing Medium Spiny Neurons with a Simple Neuron Model
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning
A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data
Identifying Binding Sites in Sequential Genomic Data
Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization
A Biologically Inspired Model for the Detection of External and Internal Head Motions
Pole-Balancing with Different Evolved Neurocontrollers
Nonlinear Projection with the Isotop Method
Spiking Neural Networks Evolved to Perform Multiplicative Operations
BGEK: External Knowledge-Enhanced Graph Convolutional Networks for Rumor Detection in Online Social Networks
Evolutionary Support Vector Machines for Time Series Forecasting
Ship Attitude Prediction Based on Dynamic Sliding Window and EEMD-SSA-BiLSTM
Matrix Learning for Topographic Neural Maps
Bilinear Adaptive Parameter Estimation in Fuzzy Cognitive Networks
A Novel Encoding Strategy for Associative Memory
Making Images Resilient to Adversarial Example Attacks
Edge Detection and Motion Discrimination in the Cuneate Nucleus
Sparse Extreme Learning Machine Classifier Using Empirical Feature Mapping
Some New Features for Protein Fold Prediction
Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
Two-Stream Interactive Memory Network for Video Facial Expression Recognition
How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System?
Incremental Learning of Spatio-temporal Patterns with Model Selection
Detection of a Dynamical System Attractor from Spike Train Analysis
State Prediction: A Constructive Method to Program Recurrent Neural Networks
Multi-View Capsule Network
Manifold Construction Using the Multilayer Perceptron
Stochastic Processes for Return Maximization in Reinforcement Learning
Text-Independent Speaker Authentication with Spiking Neural Networks
Behavior Modeling by Neural Networks
Nonparametric Data Selection for Improvement of Parametric Neural Learning: A Cumulant-Surrogate Method
Patches Channel Attention for Human Sitting Posture Recognition
Asymptotic Complexity of an RBF NN for Correlated Data Representation
SVM Ensembles on a Budget
Feature-Aware Sequence Models for Tabular Data Processing with Missing Values
Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks
A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach
Using Genetic Algorithm to Develop a Neural-Network-Based Load Forecasting
NeoSLAM: Neural Object SLAM for Loop Closure and Navigation
Distinguishing the Correctness of Knowledge Makes Knowledge Transfer Better
Learning Multiple Timescales in Recurrent Neural Networks
A Model of Neuronal Specialization Using Hebbian Policy-Gradient with "Slow" Noise
A Comparison of Face Detection Algorithms
Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I
Chinese Named Entity Recognition Using the Improved Transformer Encoder and the Lexicon Adapter
Rotation Invariant Recognition of Road Signs with Ensemble of 1-NN Neural Classifiers
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV
Balanced and Deterministic Weight-Sharing Helps Network Performance
PlantDet: A Benchmark for Plant Detection in the Three-Rivers-Source Region
A Robust Image Dehazing Model Using Cycle Generative Adversarial Network with an Improved Atmospheric Scatter Model
Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks
New Dynamic Classifiers Selection Approach for Handwritten Recognition
Multi-column Deep Neural Network for Offline Arabic Handwriting Recognition
Large Scale Problem Solving with Neural Networks: The Netflix Prize Case
Action Recognition System Integrating Motion and Object Detection
Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation
Bi-Modal Deep Boltzmann Machine Based Musical Emotion Classification
Context-Dependent Computations in Spiking Neural Networks with Apical Modulation
Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net
Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning
Improve Shallow Decoder Based Transformer with Structured Expert Prediction
Civil Unrest Event Forecasting Using Graphical and Sequential Neural Networks
(Input) Size Matters for CNN Classifiers
Extracting Feature Space for Synchronizing Behavior in an Interaction Scene Using Unannotated Data
Multi-chip Implementation of a Biomimetic VLSI Vision Sensor Based on the Adelson-Bergen Algorithm
On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions
Interpretable Image Recognition by Screening Class-Specific and Class-Shared Prototypes
Adaptive Propagation Network Based on Multi-scale Information Fusion
A Latent Variable Model with Hierarchical Structure and GPT-2 for Long Text Generation
Hippocampus, Amygdala and Basal Ganglia Based Navigation Control
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization
Detecting Negative Sentiment on Sarcastic Tweets for Sentiment Analysis
MDL Based Model Selection for Relevance Vector Regression
Improving Visual Question Answering by Semantic Segmentation
Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes
End-to-End On-Line Multi-object Tracking on Sparse Point Clouds Using Recurrent Convolutional Networks
Computer Aided Classification of Mammographic Tissue Using Independent Component Analysis and Support Vector Machines
An Empirical Study of Multi-domain and Multi-task Learning in Chinese Named Entity Recognition
Chaotic Complex-Valued Multidirectional Associative Memory with Variable Scaling Factor
Prior Hyperparameters in Bayesian PCA
Temporal Evaluation of Probability Calibration with Experimental Errors
Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks
Feature Extraction Using Linear and Non-linear Subspace Techniques
A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines
Semi Supervised Fuzzy Clustering Networks for Constrained Analysis of Time-Series Gene Expression Data
Occlusion, Attention and Object Representations
A Gradient Network for Vector Quantization and Its Image Compression Applications
Nearly Optimal Exploration-Exploitation Decision Thresholds
SOM Based Visualization in Data Analysis
Diversified Contrastive Learning For Few-Shot Classification
Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks
Automatic Hyperparameter Tuning for Support Vector Machines
From Geometries to Contact Graphs
Ensemble Learning with Local Diversity
Fast and Accurate Affect Prediction Using a Hierarchy of Random Forests
Deep 3D Pose Dictionary: 3D Human Pose Estimation from Single RGB Image Using Deep Convolutional Neural Network
Selection of Training Data for Locally Recurrent Neural Network
XOOD: A Self-supervised Algorithm for Detecting Out-of-Distribution Data for Image Classification
Dual-Head Feature Enhancement for Graph-Based Cross-View Multi-object Tracking
Minimization of Quadratic Binary Functional with Additive Connection Matrix
Emergent Common Functional Principles in Control Theory and the Vertebrate Brain: A Case Study with Autonomous Vehicle Control
A Hebbian-Based Reinforcement Learning Framework for Spike-Timing-Dependent Synapses
A Bio-Feasible Computational Circuit for Neural Activities Persisting and Decaying
A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets
Meta Learning Intrusion Detection in Real Time Network
Visualization and Analysis of the Loss Landscape in Graph Neural Networks
Applying Bidirectional Long Short-Term Memories (BLSTM) to Performance Data in Air Traffic Management for System Identification
SGNN: A New Method for Learning Representations on Signed Networks
Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part II
Spectral Graph Reasoning Network for Hyperspectral Image Classification
Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning
Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design
A Computational Model of Saliency Map Read-Out during Visual Search
MedNet: A Dual-Copy Mechanism for Medical Report Generation from Images
Predictive Self-Organizing Map for Vector Quantization of Migratory Signals
Learning to Plan via a Multi-step Policy Regression Method
Bayesian Joint Optimization for Topic Model and Clustering
SDGC-YOLOv5: A More Accurate Model for Small Object Detection
Hierarchical Attention Networks for User Profile Inference in Social Media Systems
Conditioned Variational Autoencoder for Top-N Item Recommendation
Efficient ReliefF: A Low-Power Optimization of ReliefF for Resource-Constrained Devices
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms
DA-NeRF: High-Fidelity Talking Face Generation From Speech With Neural Radiance Fields
BVRCC: Bootstrapping Video Retrieval via Cross-Matching Correction
Soft Clustering for Nonparametric Probability Density Function Estimation
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters
Structure-Aware Multi-scale Hierarchical Graph Convolutional Network for Skeleton Action Recognition
Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning
Trajectory Tracking of a Nonholonomic Mobile Robot Considering the Actuator Dynamics: Design of a Neural Dynamic Controller Based on Sliding Mode Theory
A Model of Clipped Hebbian Learning in a Neocortical Pyramidal Cell
PSRDET: Fast Multimodal Detection Based on Prior Scene Repair for All-Weather Road Sensing
Multiclass Classification with Pairwise Coupled Neural Networks or Support Vector Machines
Multi-object Tracking Based on Nearest Optimal Template Library
Hierarchical Reinforcement Learning with Unlimited Recursive Subroutine Calls
Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation
Adaptive Segmentation Network for Scene Text Detection
Complexity of Learning for Networks of Spiking Neurons with Nonlinear Synaptic Interactions
Cross-Correlations in Sparsely Connected Recurrent Networks of Spiking Neurons
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model
Method for Estimating Neural Network Topology Based on SPIKE-Distance
Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters
A Graph Neural Network-Based Smart Contract Vulnerability Detection Method with Artificial Rule
Analysis of Astrophysical Ice Analogs Using Regularized Alternating Least Squares
Fast Multi-command SSVEP Brain Machine Interface without Training
Prediction Systems Based on FIR BP Neural Networks
Congestion Control in Autonomous Decentralized Networks Based on the Lotka-Volterra Competition Model
Approximation of Binary-Valued Functions by Networks of Finite VC Dimension
Hierarchical Classification for Symmetrized VI Trajectory Based on Lightweight Swin Transformer
On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification
Batch Support Vector Training Based on Exact Incremental Training
A System-Level Model of Noradrenergic Function
Information Theoretic Derivations for Causality Detection: Application to Human Gait
A New Efficient Finger-Vein Verification Based on Lightweight Neural Network Using Multiple Schemes
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets
Target-Oriented Sentiment Classification with Sequential Cross-Modal Semantic Graph
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I
A Complex Neural Network Model for Memory Functioning in Psychopathology
Learning-While Controlling RBF-NN for Robot Dynamics Approximation in Neuro-Inspired Control of Switched Nonlinear Systems
Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints
ST 2PE : Spatial and Temporal Transformer for Pose Estimation
A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries
Feature Selection via Genetic Optimization
A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers
FMNet: Multi-agent Cooperation by Communicating with Featured Message Network
Dual Attention Feature Fusion for Visible-Infrared Object Detection
Deferring the Learning for Better Generalization in Radial Basis Neural Networks
Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs
An Optimal Sensor Morphology Improves Adaptability of Neural Network Controllers
Machine Learning for Multi-class Protein Fold Classification Based on Neural Networks with Feature Gating
A Neural Network Approach to Estimating Color Reflectance with Product Independent Models
Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model
Attention Aware Semi-supervised Framework for Sentiment Analysis
CAW: Confidence-Based Adaptive Weighted Model for Multi-modal Entity Linking
TrueSkill-Based Pairwise Coupling for Multi-class Classification
An Accuracy-Shaping Mechanism for Competitive Distributed Learning
Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling
PhysMamba: Synergistic State Space Duality Model for Remote Physiological Measurement
Exploiting Recurrent Neural Networks in the Forecasting of Bees' Level of Activity
Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method
Classification of Temporal Data Based on Self-organizing Incremental Neural Network
Unsupervised Multi-view Multi-person 3D Pose Estimation Using Reprojection Error
Neural Network Based Adult Image Classification
High-Dimensional Binary Pattern Classification by Scalar Neural Network Tree
The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech
Co-RGCN: A Bi-path GCN-Based Co-Regression Model for Multi-intent Detection and Slot Filling
DTG: Learning A Dynamic Token Graph for 3D Pose Forecasting
A Subject-Independent Stress Detection Model Based on Temporal Feature Disentanglement
The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes
Systolic Realization of Kohonen Neural Network
Learning Multiple Feature Representations from Natural Image Sequences
Separation and Unification of Individuality and Collectivity and Its Application to Explicit Class Structure in Self-Organizing Maps
Gator: Customizable Channel Pruning of Neural Networks with Gating
Simplifying ConvNets for Fast Learning
Self-Organizing Temporally Coded Representation Learning
Mental Simulation, Attention and Creativity
Echo State Networks for Named Entity Recognition
Polarization Dynamics of VCSELs Improves Reservoir Computing Performance
Comparison of Long-Term Adaptivity for Neural Networks
Loci-Segmented: Improving Scene Segmentation Learning
Model Based on Support Vector Machine for the Estimation of the Heart Rate Variability
Semantic and Frequency Representation Mining for Face Manipulation Detection
Self-Organizing Incremental Neural Network and Its Application
Stability Analysis of a Generalized Class of BAM Neural Networks with Mixed Delays
Neural-Gas VAE
A Soft k-Segments Algorithm for Principal Curves
Elementary Logical Reasoning in the SOM Output Space
Convex Graph Laplacian Multi-Task Learning SVM
Continual Learning Exploiting Structure of Fractal Reservoir Computing
Learning Face Localization Using Hierarchical Recurrent Networks
Bifurcating Neurons with Filtered Base Signals
Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering
Topology of Neural Processes
MovePose: A High-Performance Human Pose Estimation Algorithm on Mobile and Edge Devices
Noise-NeRF: Hide Information in Neural Radiance Field Using Trainable Noise
Catastrophic Forgetting: Still a Problem for DNNs
Disentangling Latent Factors of Variational Auto-encoder with Whitening
Knowledge Graph Enhanced Transformer for Generative Question Answering Tasks
A Hybrid Model for S&P500 Index Forecasting
Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping
A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism
Classification Models for Partially Ordered Sequences
A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System
Geometric Relationships Between Feature Maps in Cat Visual Cortex
Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity
Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning
Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations
Deep Learning Based Vehicle Make-Model Classification
Attention-Gated Reinforcement Learning in Neural Networks - A Unified View
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning
StreamLeader: A New Stream Clustering Algorithm not Based in Conventional Clustering
Constrained Learnable Channel-Wise Normalization for Single-Source Domain Generalization in Medical Image Segmentation
Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling
Analysis and Visualization of the Dynamics of Recurrent Neural Networks for Symbolic Sequences Processing
A Neural Network Approach for Learning Object Ranking
Time Series Forecasting Models Copy the Past: How to Mitigate
Local Reject Option for Deterministic Multi-class SVM
Self-Organization in Parallel Coordinates
Generative Universal Nullifying Perturbation for Countering Deepfakes Through Combined Unsupervised Feature Aggregation
Identification of Wiener Model Using Radial Basis Functions Neural Networks
Reference-Based Extraction of Phase Synchronous Components
Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance
Using Reservoir Computing and Trend Information for Short-Term Streamflow Forecasting
Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space
Faster Directions for Second Order SMO
Semantic Enhanced Interaction for Unsupervised Cross-Modal Hashing Retrieval
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning
Siamese Survival Analysis with Competing Risks
RL Extraction of Syntax-Based Chunks for Sentence Compression
Global Stability Conditions of Locally Recurrent Neural Networks
Continual Learning Based on Knowledge Distillation and Representation Learning
Real-Time Construction of Neural Networks
A Communication Infrastructure for Emulating Large-Scale Neural Networks Models
A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy
Improving Monotonic Optimization in Heterogeneous Multi-agent Reinforcement Learning with Optimal Marginal Deterministic Policy Gradient
Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier
Molecular Structure-Based Double-Central Drug-Drug Interaction Prediction
Self-organizing Maps with Refractory Period
Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives
Cooperative Multi-agent Reinforcement Learning with Hierachical Communication Architecture
Binary Spatter-Coding of Ordered K-Tuples
A Two-Stage Framework Integrating Prompt Learning and Fine-Tuning for Code Summarization
Propagation-Aware Social Recommendation by Transfer Learning
K-Separability
Transformation Equivariant Boltzmann Machines
Jacobian Regularization for Mitigating Universal Adversarial Perturbations
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part X
Ant Colony Optimization with Castes
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks
Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part IV
Image Matting Based on Deep Equilibrium Models
Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN
K -Pages Graph Drawing with Multivalued Neural Networks
Improved Forward-Backward Propagation to Generate Adversarial Examples
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network
A Continuous Internal-State Controller for Partially Observable Markov Decision Processes
Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management
Spontaneous Symmetry Breaking in Data Visualization
Impact of Plasticity-Based Reservoir Adaptation on Spectral Radius and Performance of ESNs
A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VII
A Hybrid Neural Architecture and Its Application to Temperature Prediction
Learning Game by Profit Sharing Using Convolutional Neural Network