yusuke1997/dblp-id-title huggingface dataset:
Graph Convolutional Network Based Feature Constraints Learning for Cross-Domain Adaptive Recommendation
Shifted Window Fourier Transform and Retention for Image Captioning
Predicting Chaotic Time Series by Boosted Recurrent Neural Networks
Chinese Event Recognition via Ensemble Model
Composite Learning Control of Hypersonic Flight Dynamics Without Back-Stepping
An Artificial Bee Colony Algorithm for the Quadratic Knapsack Problem
A Fuzzy Logic Approach to Computer Software Source Code Authorship Analysis
Feature Combination Based on Receptive Fields and Cross-Fusion Feature Pyramid for Object Detection
Managing Interference Between Prior and Later Learning
Self-Organizing Hidden Markov Models
Object Selection by a Neural Oscillator Network
Neural Network Model Completing Occluded Contour
Online Learning Neural Network for Adaptively Weighted Hybrid Modeling
Coevolutionary Recurrent Neural Networks for Prediction of Rapid Intensification in Wind Intensity of Tropical Cyclones in the South Pacific Region
Single Image Dehazing Using Frequency Attention
Transformer-Based Long Time Series Forecasting with Decoupled Information Extraction and Information Complementarity
Predicting Degree of Relevance of Pathway Markers from Gene Expression Data: A PSO Based Approach
Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed
A Feature Filter for EEG Using Cycle-GAN Structure
Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method
TextCut: A Multi-region Replacement Data Augmentation Approach for Text Imbalance Classification
Shape-Based Image Retrieval Based on Improved Genetic Programming
MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding
scPER2P: Parameter-Efficient Single-Cell LLM for Translated Proteome Profiles
Attention-Based Image Captioning Using DenseNet Features
Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution
An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques
Spatial Distribution of LTP and LTD Simultaneously Induced by Temporal-Pattern Stimuli in Hippocampal CA1 Area
BriCA: A Modular Software Platform for Whole Brain Architecture
Changes in Cerebral Activity during Visuomotor Learning with Optical Rotation: A Positron Emission Tomography Study
Few-Shot NER in Marine Ecology Using Deep Learning
Identifying Gifted Thinking Activities Through EEG Microstate Topology Analysis
Enhancing Semantic Segmentation in Open Compound Domain Adaptation Through Mixed Image and Epistemic Uncertainty
An Adaptive Approach to Chinese Semantic Advertising
Fast and Efficient Brain Extraction with Recursive MLP Based 3D UNet
Hippocampus Segmentation in MRI Using Side U-Net Model
Snap-Shots on Neuroinformatics and Neural Information Processing Research in Singapore
Agent Personalized Call Center Traffic Prediction and Call Distribution
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization
Energy Dissipation Effect on a Quantum Neural Network
Multi-scale Fractional-Order Sparse Representation for Image Denoising
Aspect-Based Sentiment Analysis Using Dual Probability Graph Convolutional Networks (DP-GCN) Integrating Multi-scale Information
A Functional Model of Cortico-Basal Ganglia Loop in Motor Control
Knowledge Tracing Method Based on Enhanced Global and Local Knowledge State Representation
A Simple Visual Model Accounts for Drift Illusion and Reveals Illusory Patterns
Grasping Region Identification in Novel Objects Using Microsoft Kinect
Deep CNN Based System for Detection and Evaluation of RoIs in Flooded Areas
Automatic Plaque Boundary Extraction in Intravascular Ultrasound Image by Fuzzy Inference with Adaptively Allocated Membership Functions
BrainGACCL: Brain Graph Adaptive Co-contrastive Learning with Universum Samples for fMRI-Based Brain Disease Detection
Robust Segmentation of Overlapping Cells in Cervical Cytology Using Light Convolution Neural Network
A Framework for Multi-view Gender Classification
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III
Toroidal Approximate Identity Neural Networks Are Universal Approximators
Visualizing Readable Instance Graphs of Ontology with Memo Graph
A Randomized Algorithm for Deciding the Functional Equivalence of Neural Networks
A Membership Function Selection Method for Fuzzy Neural Networks
RF-Based Drone Detection with Deep Neural Network: Review and Case Study
Experiments on Three-Dimensional Wire-Frame Object Recognition
CSEC: A Chinese Semantic Error Correction Dataset for Written Correction
Fast Learning for Statistical Face Detection
Solving Dynamic Constraint Optimization Problems Using ICHEA
Nonnegative Matrix Factorization for Joint Clustering and Topic Modeling with Minority Topics
A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat
Triple Tag Network for Aspect-Level Sentiment Classification
Retrieving Emotion from Motion Analysis: In a Real Time Parallel Framework for Robots
Online Labor Market Task Recommendation via Time-Weighted Diffusion Model
Adaptive-Multi-Reference Least Means Squares Filter
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti
Improving Strategy for Discovering Interacting Genetic Variants in Association Studies
Critical Roles of Contours in Intermediate-Level Neural Representation: Comparative Study Between Primate V4 and DCNN
Kinematic, Static and Dynamic Analyses of Flapping Wing Mechanism Based on ANSYS Workbench
Need for Development of Statistical Analysis Tools of Dynamical Neuronal Code -Statistical Evaluation of Joint-PSTH
Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier
Structural Information Control to Improve Generalization
An Ensemble Learning Approach to Improve Tracking Accuracy of Multi Sensor Fusion
Global Localization for the Mobile Robot Based on Natural Number Recognition in Corridor Environment
GRU with Level-Aware Attention for Rumor Early Detection in Social Networks
FIT: Frequency-Based Image Translation for Domain Adaptive Object Detection
Active Learning by Feature Perturbation for Medical Image Classification
Effects of Second-Order Statistics on Independent Component Filters
Memory of Reading Literature in a Hippocampal Network Model Based on Theta Phase Coding
Interpretable Smart Contract Vulnerability Detection with Graph Information Bottleneck
Continuous User Authentication Using Machine Learning on Touch Dynamics
Disentangled Feature Network for Fine-Grained Recognition
A Context-Aware Model with Flow Mechanism for Conversational Question Answering
Dilated Pyramid Attention in Hierarchical Vision Transformer for Texture Recognition
A Multi-scale and Multi-attention Network for Skin Lesion Segmentation
Reconstruction of Visual Sensory Space on the Hidden Layer in Layered Neural Networks
A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing
A Combo Object Model for Maritime Boat Ramps Traffic Monitoring
Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm
Fairly Constricted Multi-objective Particle Swarm Optimization
Towards Undetectable Adversarial Examples: A Steganographic Perspective
Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method
Gaussian Processes Based Fusion of Multiple Data Sources for Automatic Identification of Geological Boundaries in Mining
Celebrity Face Image Retrieval Using Multiple Features
Decoding Network Activity from LFPs: A Computational Approach
Functional Roles of Amygdala and Orbitofrontal Cortex in Adaptive Behavior
Building Mongolian TTS Front-End with Encoder-Decoder Model by Using Bridge Method and Multi-view Features
Frequency-Constraint VQ-VAE for Adaptive MRI Segmentation
Accelerating the Learning Speed of Multilayer Perceptrons with a New Error Function for Hidden Layer
Exploring Self-training for Imbalanced Node Classification
Reinforcement Learning Based Dialogue Management Strategy
Category Prediction of Questions Posted in Community-Based Question Answering Services Using Deep Learning Methods
Complex Detection Based on Integrated Properties
Statistical Analysis of Arabic Phonemes Used in Arabic Speech Recognition
Reading Your Mind: EEG during Reading Task
A Hybrid Approach for Adaptive Car Navigation
Text Mining with an Augmented Version of the Bisecting K-Means Algorithm
GFEN: Graph Feature Extract Network for Click-Through Rate Prediction
TWRBF - Transductive RBF Neural Network with Weighted Data Normalization
Adaptive Neural Control for Efficient Rhythmic Movement Generation and Online Frequency Adaptation of a Compliant Robot Arm
A Bayesian Sarsa Learning Algorithm with Bandit-Based Method
Disturbance Observer Based Optimal Attitude Control of NSV Using \theta -D Method
Two-Stream Spectral-Temporal Denoising Network for End-to-End Robust EEG-Based Emotion Recognition
Dynamic Representations of Mutual Information Transmission in Human Brains Doing Mental Tasks
Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction
Consumer's Purchasing Behavior Analysis Based on the Self-Organizing Feature Map Neural Network Algorithm in E-Supply Chain
Navel Orange Blemish Identification for Quality Grading System
A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System
Measuring Shift-Invariance of Convolutional Neural Network with a Probability-Incorporated Metric
Adaptive Nearest Neighbor Sememe Tree Generation Model
Unsupervised Visual Time-Series Representation Learning and Clustering
A Multifactor Dimensionality Reduction Based Associative Classification for Detecting SNP Interactions
Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study
Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding
Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks
Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems
Enhancing BERT for Short Text Classification with Latent Information
RBF NN Based Adaptive PI Control of Brushless DC Motor
A Lightweight Ontology Learning Method for Chinese Government Documents
Multi-human Intelligence in Instance-Based Learning
Gender Identification from Thai Speech Signal Using a Neural Network
Reliability-Based Automatic Repeat reQuest with Error Potential-Based Error Correction for Improving P300 Speller Performance
TP-ADMM: An Efficient Two-Stage Framework for Training Binary Neural Networks
Photonic Reservoir Computing Based on Laser Dynamics with External Feedback
Adaptive Modeling of HRTFs Based on Reinforcement Learning
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III
Improvement of the Perfect Recall Rate of Block Splitting Type Morphological Associative Memory Using a Majority Logic Approach
Time-aware Quaternion Convolutional Network for Temporal Knowledge Graph Reasoning
The Dual-Branch Cross-Alignment Design for Action Transfer Based on Feature Distribution Patterns
A New Learning Algorithm for Adaptive Spiking Neural Networks
Hybrid Hopfield Architecture for Solving Nonlinear Programming Problems
Human Activity Recognition by Matching Curve Shapes
A Random Block Coordinate Descent Method for Multi-label Support Vector Machine
Fundamental Analysis of a Digital Spiking Neuron for Its Spike-Based Coding
A Frequency Reconfigurable Multi-mode Printed Antenna
An Image Warping Method for Temporal Subtraction Images Employing Smoothing of Shift Vectors on MDCT Images
Position Gradient and Plane Consistency Based Feature Extraction
Selection Mechanism in Artificial Bee Colony Algorithm: A Comparative Study on Numerical Benchmark Problems
Coarse-and-Learn: Efficient Online Node Labeling
Bayesian Fusion of Auditory and Visual Spatial Cues during Fixation and Saccade in Humanoid Robot
Omnidirectional Linear Attention Module for Penalty Shootout Video Understanding
Convolutional Model for Predicting SNP Interactions
Adaptive Determination of the Amount of Forgetting in the Learning Algorithm with Forgetting
Deep Adaptive Update of Discriminant KCF for Visual Tracking
A Data Gathering Scheme in Wireless Sensor Networks Using a Spiking Neural Network with Simple Local Information
Confidence Intervals for the Risks of Regression Models
Sonification for EEG Frequency Spectrum and EEG-Based Emotion Features
BDI Agents Using Neural Network and Adaptive Neuro Fuzzy Inference for Intelligent Planning in Container Terminals
Consensus Maneuvering of Uncertain Nonlinear Strict-Feedback Systems
Single-Neuron Hebb Learning Dynamics in the Presence of Inhibitory Autapses
Perceptual Representation of Material Quality: Adaptation to BRDF-Morphing Images
A GPU Implementation of a Bat Algorithm Trained Neural Network
PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images
EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-objective Genetic Algorithm
Binary Stochastic Representations for Large Multi-class Classification
Performance Evaluation of Directionally Constrained Filterbank ICA on Blind Source Separation of Noisy Observations
Corticopetal Acetylcholine: Possible Scenarios on the Role for Dynamic Organization of Quasi-Attractors
Formation of Momentum and Learning Rate Profile for Online Training and Testing of HMLP with ALRPE
An Automatic Speaker Recognition System
Cloud-Based Knowledge Sharing in Cooperative Robot Tracking of Multiple Targets with Deep Neural Network
Functional Data Clustering Analysis via the Learning of Gaussian Processes with Wasserstein Distance
Adaptive Rounding Compensation for Post-training Quantization
Aspects of Signal Representation in the Brain
Multi-Agent Hyper-Attention Policy Optimization
CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification
A Study on Cluster Size Sensitivity of Fuzzy c-Means Algorithm Variants
Forecasting a Variable Multiple Cyclic Process with Confidence
Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells
RCNN for Region of Interest Detection in Whole Slide Images
Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs
Video Summarization by DiffPointer-GAN
Low-Rank and Sparse Matrix Completion for Recommendation
An Improved ISOMAP for Visualization and Classification of Multiple Manifolds
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
Adaptive Focal Inverse Distance Transform Maps for Cell Recognition
Overlapping Community Detection Using Core Label Propagation and Belonging Function
Reinforced Explorit on Optimizing Vehicle Powertrains
Evolving a Program Defined by a Formal Grammar
An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction
Analysing the Evolution of Contrary Opinions on a Controversial Network Event
Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network
Perfect Population Classification on Hapmap Data with a Small Number of SNPs
Hyper-parameter Optimization of Sticky HDP-HMM Through an Enhanced Particle Swarm Optimization
The Selective Integration Neural Network Model of Lightness Perception
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
Video Face Recognition with Audio-Visual Aggregation Network
Learning Deep Neural Network Based Kernel Functions for Small Sample Size Classification
Watch and Ask: Video Question Generation
Event Factuality Identification via Hybrid Neural Networks
A Neuro-GA Approach for the Maximum Fuzzy Clique Problem
FHSI-GNN: Fusion Hierarchical Structure Information Graph Neural Network for Extractive Long Documents Summarization
Recent Advances in the Neocognitron
A Distributed Q-Learning Approach for Variable Attention to Multiple Critics
Class-Dependent Feature Selection for Face Recognition
Outdoor Self-Localization of a Mobile Robot Using Slow Feature Analysis
SDSP: Scalable and Diverse Synthetic Pairwise Text Generation from Web Corpus Using Large Language Model
Collective Activations to Generate Self-Organizing Maps
From Chaos to Organization: Neurodynamics of 2D Active Medium
Knowledge Prompting with Contrastive Learning for Unsupervised CommonsenseQA
Model of the Activity of Hippocampal Neurons Based on the Theory of Selective Desensitization
A Novel Variational PDE Technique for Image Denoising
A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering
FedTS: Leveraging Teacher-Student Architecture in Federated Learning Against Model Heterogeneity in Edge Computing Scenarios
Leveraging Multi-granularity Heterogeneous Graph for Chinese Electronic Medical Records Summarization
SS-CCN: Scale Self-guided Crowd Counting Network
DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation
Spike Sorting Using Hidden Markov Models
Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition
Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm
Static Properties of a Neural Network Composed of Two Kinds of Neurons
An Attempt of Speed-up of Neurocommunicator, an EEG-Based Communication Aid
Neural Network Pruning Based on Improved Constrained Particle Swarm Optimization
A Neural Network Model for Retaining Object Information Required in a Categorization Task
A Multi-kernel Semi-supervised Metric Learning Using Multi-objective Optimization Approach
Representation of Hypertext Documents Based on Terms, Links and Text Compressibility
Enhanced Facial Emotion Detection Models Utilizing Geometry-Based Features for Superior Human-Computer Interaction
PaPa: Propagation Pattern Enhanced Prompt Learning for Zero-Shot Rumor Detection
Local Invariance Representation Learning Algorithm with Multi-layer Extreme Learning Machine
Dynamical Behaviors of a Large Class of Delayed Differential Systems with Discontinuous Right-Hand Side
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I
Atomic Distance Kernel for Material Property Prediction
Automatic Detection of Critical Epochs in coma-EEG Using Independent Component Analysis and Higher Order Statistics
End-to-End Urban Autonomous Navigation with Decision Hindsight
Neural Network for Time series Prediction and Its Application
On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds
Interactive Hybrid Systems for Monitoring and Optimization of Micro- and Nano-machining Processes
Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution
Deep Learning for Combo Object Detection
Protein Structure Prediction with a New Composite Measure of Diversity and Memory-Based Diversification Strategy
Some Experiments on Training Radial Basis Functions by Gradient Descent
Regularizing CNN via Feature Augmentation
Predicting Information Diffusion Cascades Using Graph Attention Networks
Firefly Algorithm for Demand Estimation of Water Resources
Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional Network
Synchronization Via Multiplex Spike-Trains in Digital Pulse Coupled Networks
Learning Visually Guided Risk-Aware Reaching on a Robot Controlled by a GPU Spiking Neural Network
Involving New Local Search in Hybrid Genetic Algorithm for Feature Selection
Pathway-Based Microarray Analysis with Negatively Correlated Feature Sets for Disease Classification
A Reactor Control System Selection Expert System
App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach
An Approach to Free Viewpoint Character Recognition by Using Modular Neural Network
Triple Attention Network for Clothing Parsing
Soft Fusion of Neural Classifiers
Lightweight Modal Regression for Stand Alone Embedded Systems
Contextual Behaviors and Internal Representations Acquired by Reinforcement Learning with a Recurrent Neural Network in a Continuous State and Action Space Task
Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain Patterns
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II
Bifurcation Analysis of a Two-Dimensional Simplified Hodgkin-Huxley Model Exposed to External Electric Fields
Ensembling Heterogeneous Learning Models with Boosting
Visual-Based Positioning and Pose Estimation
Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part IV
Computationally Efficient Radial Basis Function
CM-TCN: Channel-Aware Multi-scale Temporal Convolutional Networks for Speech Emotion Recognition
Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation
A Principled Approach to a Theory of Self-organization in Cortical Maps Based on EM-Learning
3D Freeform Surfaces from Planar Sketches Using Neural Networks
Neural Information Processing - 32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20-24, 2025, Proceedings, Part II
A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification
Identify Non-fatigue State to Fatigue State Using Causality Measure During Game Play
A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data
Seizure Prediction Based on Multi-scale Fusion-Attention Transformer
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach
The Camouflage Color Target Detection with Deep Networks
Rasterizing Algebraic Curves and Surfaces in the Space with Exact Distances
A Two-Stage Network for Enhanced Intracranial Artery 3D Segmentation in TOF-MRA Volume
ComNE: Reinforcing Network Embedding with Community Learning
Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks
Neural Network Model for the Perseveration Behavior of Frontal Lobe Injured Patients
NeuroEvolution Based on Reusable and Hierarchical Modular Representation
A Fast and Memory-Efficient Hierarchical Graph Clustering Algorithm
CBDN: A Chinese Short-Text Classification Model Based on Chinese BERT and Fused Deep Neural Networks
Approaches for the Detection of the Keywords in Spoken Documents Application for the Field of E-Libraries
Neuron Attribution-Based Attacks Fooling Object Detectors
A Modular Approach to Support the Multidisciplinary Design of Educational Game Experiences
Pre-trained Models and Evaluation Data for the Myanmar Language
Neuro-flow Dynamics and Model of Hippocampal LTP/LTD under Time-structured Stimuli
Age Classification Combining Contour and Texture Feature
Convolve with Wind: Parallelized Line Integral Convolutional Network for Ultra Short-term Wind Power Prediction of Multi-wind Turbines
Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning
Appearance Models for Medical Volumes with Few Samples by Generalized 3D-PCA
A Double-Stage Genetic Optimization Algorithm for Portfolio Selection
Using Similarity between Paired Instances to Improve Multiple-Instance Learning via Embedded Instance Selection
A Highly Robust Approach Face Recognition Using Hausdorff-Trace Transformation
Spatial Graph Convolutional Networks
System Identification Problems via a Single-Layer Feedforward Neural Network
Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies
Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images
DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation
Tailored Domain-Specific Summaries: A Two-Stage Method Combining Extractive and Abstractive Summarization Models
BMS 3 : Bayesian Modeling Based SwinUNet Segmentation on Self-distillation Architecture