yusuke1997/dblp-id-title huggingface dataset:
A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms
Distributed Nash Equilibrium Seeking of Noncooperative Games with Communication Constraints and Matrix Weights
Level Set Initialization Based on Modified Fuzzy C Means Thresholding for Automated Segmentation of Skin Lesions
Efficient Human Stress Detection System Based on Frontal Alpha Asymmetry
Generative Adversarial Negative Imitation Learning from Noisy Demonstrations
Hybrid U-Net: Instrument Semantic Segmentation in RMIS
Molecular Self-Organization in the Development Model for the Evolution of Large-scale Artificial Neural Networks
Sparse Gradient-Based Direct Policy Search
Complex-Valued Feedforward Neural Networks Learning Without Backpropagation
Generalized Agglomerative Fuzzy Clustering
Credit Card Fraud Detection Using Convolutional Neural Networks
Fast Agglomerative Information Bottleneck Based Trajectory Clustering
Harnessing Chaotic Activation Functions in Training Neural Network
Active Defense Against Deepfakes: An Integrated Framework of Adversarial Data Embedding and Blockchain Authentication
A Multi-Channel Graph Attention Network for Chinese NER
Orientation Estimation Using Gaussian Mixture Bayes with Regularised EM Algorithm (GMB-REM) for Real Mobile Robot Localisation
Recurrent RetinaNet: A Video Object Detection Model Based on Focal Loss
Automatic Generation of Initial Weights and Target Outputs of Multilayer Neural Networks and Its Application to Pattern Classification
Refined Sentiment Analysis Using POS Features and LDA: Mitigating Polysemy and Sparsity with BERT Contextual Embedding
GhostVec: Directly Extracting Speaker Embedding from End-to-End Speech Recognition Model Using Adversarial Examples
Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs
Integrating Rich Utterance Features for Emotion Recognition in Multi-party Conversations
Multimodal Learning of Audio-Visual Speech Recognition with Liquid State Machine
Matrix-Completion-Based Method for Cold-Start of Distributed Recommender Systems
Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience
Multi-UAV Collaborative Monocular SLAM Focusing on Data Sharing
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks
A Tag Probability Correlation Based Microblog Recommendation Method
Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching
A Comparative Study of Feature Extraction Algorithms on ANN Based Speaker Model for Speaker Recognition Applications
Permutation Correction of Filter Bank ICA Using Static Channel Characteristics
Gradient-Based Adversarial Image Forensics
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VI
Learning Shapes Bifurcations of Neural Dynamics upon External Stimuli
GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis
Channel Attention Separable Convolution Network for Skin Lesion Segmentation
A Parallel Forward-Backward Propagation Learning Scheme for Auto-Encoders
An Automotive Detector Using Biologically Motivated Selective Attention Model for a Blind Spot Monitor
TULiP: Test-Time Uncertainty Estimation via Linearization and Weight Perturbation
Analysis on Equilibrium Point of Expectation Propagation Using Information Geometry
Heterogeneous Discriminant Analysis for Cross-View Action Recognition
FPGA Discrete Wavelet Transform Encoder/Decoder Implementation
Knowledge as Basis Broker - The Research of Matching Customers Problems and Professionals Métiers
A Neural System for the Patterns Recognition of Remote Sensing Images
Partial Multi-label Learning via Constraint Clustering
Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation
Application of PDM Digital Neural Network System to Real-Time Brain Activity Source Localization
ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection
A Jumping Genes Paradigm with Fuzzy Rules for Optimizing Digital IIR Filters
Modular Recurrent ANN Architectures: Some New Directions from Neuroscience
Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting
Combining Constraint Programming and Evolutionary Algorithms in Constrained Decision Optimisation Problems
Image Classification Based on Weight Adjustment before Feature Pooling
Simultaneous Progressive Filtering-Based Monaural Speech Enhancement
Improving the Generalization of Fisherface by Training Class Selection Using SOM 2
Array-Enhanced Stochastic Resonance in a Network of Noisy Neuromorphic Circuits
A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System
Analysis of Robustness of Pareto Learning SOM to Variances of Input Vectors
DRPDDet: Dynamic Rotated Proposals Decoder for Oriented Object Detection
Dynamic Programming Stereo on Real-World Sequences
Using an Evolutionary Algorithm to Optimize the Hyper-parameters of a Cascading Neural Network
Using SOM-Based Data Binning to Support Supervised Variable Selection
Clustering Massive High Dimensional Data with Dynamic Feature Maps
Evaluation of Color Constancy Vision Algorithm for Mobile Robots
ReLOpt: A Retriever-Augmented Framework for Optimizing Code with Long-Range Dependencies
Improving kNN Based Text Classification with Well Estimated Parameters
Anomaly Detection for Categorical Observations Using Latent Gaussian Process
Turbo-TTS: Enhancing Diffusion Model TTS with an Improved ODE Solver
A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction
Parameterized Digital Hardware Design of Pulse-Coupled Phase Oscillator Model toward Spike-Based Computing
Multithreading Incremental Learning Scheme for Embedded System to Realize a High-Throughput
Self-organizing Neural Grove
Low-Cost Representation for Restricted Boltzmann Machines
A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance
Emotion Detection in Unfix-Length-Context Conversation
Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network
A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN
Hopfield Neural Network with Double-Layer Amorphous Metal-Oxide Semiconductor Thin-Film Devices as Crosspoint-Type Synapse Elements and Working Confirmation of Letter Recognition
Partial Label Learning with Gradually Induced Error-Correction Output Codes
A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network
Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick
Correspondence Procedure for Recovery of Rigid Structure from Orthographically Projected Optical Flow - A computational Aspect of Kinetic Depth Effect
Genetic Algorithm Optimisation of FPLD Circuit Synthesis from High-Level Modular Descriptions
Analysis of Gradient Degradation and Feature Map Quality in Deep All-Convolutional Neural Networks Compared to Deep Residual Networks
Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine
Bayesian Collaborative Predictors for General User Modeling Tasks
Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study
Bregman Divergences and Multi-dimensional Scaling
Dynamic Template Based Online Event Detection
Tracking Property of UMDA in Dynamic Environment by Landscape Framework
Improving the Performance of Facial Expression Recognition Using Dynamic, Subtle and Regional Features
A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising
Results of an Automated Hierarchical Image Matching System
Intelligent UAV Swarm Planning Based on Undirected Graph Model
Binding with and without Attention: a Neural Network Model for Computation of Spatial Relation in Object Perception
Hybrid Loss for Improving Classification Performance with Unbalanced Data
Graph Reinforcement Learning for Securing Critical Loads by E-Mobility
Automated Text Categorization Using Support Vector Machine
Interocular Suppression: Large Perceptual Loss, Small Sensitivity Loss
A Theoretical Analysis of Semi-supervised Learning
Tacit Commitments Emergence in Multi-agent Reinforcement Learning
Multi-view Gender Classification Using Hierarchical Classifiers Structure
Incremental Learning in the Non-negative Matrix Factorization
High Performance Recognition of Pathology Objects by Using Evolutionary Self Growing Network
A Novel Hierarchical Constructive BackPropagation with Memory for Teaching a Robot the Names of Things
Recognition of Hand Written Patterns by Rotation-Invariant Neocognitron
Proximal Point Method for Online Saddle Point Problem
On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
Pareto Optimal Based Evolutionary Approach for Solving Multi-Objective Facility Layout Problem
A Multi-agent Architecture Based Cooperation and Intelligent Decision Making Method for Multirobot Systems
Dendritic Calcium Regulates Synaptic Plasticity in Insect Nervous System
Structural Text Steganography Using Unseen Tag Attribute Values
Towards an Affective Computational Model for Machine Consciousness
Trajectory Anomaly Detection Based on the Mean Distance Deviation
Deep Kernelized Network for Fine-Grained Recognition
Evolving Soccer Strategies
AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs
Self-Organized Three Dimensional Feature Extraction of MRI and CT
A Novel Approach to Protein Structure Prediction Using PCA or LDA Based Extreme Learning Machines
Perturbational Neural Networks for Incremental Learning in Virtual Learning System
AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data
Using Hybrid Neural Networks for Identifying the Brain Abnormalities from MRI Structural Images
A Corpus of Quotation Element Annotation for Chinese Novels: Construction, Extraction and Application
Generalized PWC Analog Spiking Neuron Model and Reproduction of Fundamental Neurocomputational Properties
Learning of Bayesian Discriminant Functions by a Layered Neural Network
Binary Orthogonal Non-negative Matrix Factorization
Time Series Anomaly Detection with a Transformer Residual Autoencoder-Decoder
A Problem in Model Selection of LASSO and Introduction of Scaling
Bifurcation between Superstable Periodic Orbits and Chaos in a Simple Spiking Circuit
Neural Model of Auditory Cortex for Binding Sound Intensity and Frequency Information in Bat's Echolocation
Accurate Single Image Super-Resolution Using Deep Aggregation Network
Matrix Contrastive Learning for Short Text Clustering
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion
Development of Invertebrate Brain Platform: Management of Research Resources for Invertebrate Neuroscience and Neuroethology
Sports Video Segmentation Using a Hierarchical Hidden CRF
Measuring the Usefulness of Hidden Units in Boltzmann Machines with Mutual Information
Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach
Attention-Based Domain Adaptive YOLO for Cross-Domain Object Detection
Scale Semantic Flow Preserving Across Image Pyramid
Multi-class Human Body Parsing with Edge-Enhancement Network
Affinity Graph Based End-to-End Deep Convolutional Networks for CT Hemorrhage Segmentation
Conditional Multidimensional Parameter Identification with Asymmetric Correlated Losses of Estimation Errors
Classification by Components Including Chow's Reject Option
EPI-Patch Based Convolutional Neural Network for Depth Estimation on 4D Light Field
Prediction of the Facial Growth Direction is Challenging
AMRE: An Attention-Based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset
Deep Cascade Wavelet Network for Compressed Sensing-MRI
Solution Method Using Correlated Noise for TSP
Federated Learning Using the Particle Swarm Optimization Model for the Early Detection of COVID-19
Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data
Towards a Blind MAP-Based Traitor Tracing Scheme for Hierarchical Fingerprints
Distributed Q-learning Controller for a Multi-Intersection Traffic Network
Turbo Decoding as an Instance of Expectation Maximization Algorithm
Parallel Batch Training of the Self-Organizing Map Using OpenCL
Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2
Design and Implementation of Pulse-Coupled Phase Oscillators on a Field-Programmable Gate Array for Reservoir Computing
A Generic Enhancer for Backdoor Attacks on Deep Neural Networks
Pedestrian Detection Using Deep Channel Features in Monocular Image Sequences
Hybrid Fuzzy Colour Processing and Learning
Deep Bi-directional Long Short-Term Memory Model for Short-Term Traffic Flow Prediction
Association of Anti-Histamine Drugs with Brain Tumor
O 3 GPT: A Guidance-Oriented Periodic Testing Framework with Online Learning, Online Testing, and Online Feedback
A Fast and Efficient Algorithm for Filtering the Training Dataset
Evolving Fuzzy Neural Networks Applied to Odor Recognition
General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification
A Simple Convolutional Transfer Neural Networks in Vision Tasks
Cognitive Load Driven Directed Information Flow in Functional Brain Networks
A Recurrent Neural Filter for Reducing Noise in Medical X-Ray Image Sequences
UED: A Unified Encoder Decoder Network for Visual Dialog
Explainable AI in Feature Selection: Improving Classification Performance on Imbalanced Datasets
A Color Image Segmentation Using Inhibitory Connected Pulse Coupled Neural Network
Personalised Modelling on SNPs Data for Crohn's Disease Prediction
Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions
Generalization in Linguistic Category Formation Based on the Prototype Effect
Non-Linear Dynamics Generating Theta Phase Precession in Hippocampal Closed Circuit and Generation of Episodic Memory
Quantized SGD in Federated Learning: Communication, Optimization and Generalization
SACIC: A Semantics-Aware Convolutional Image Captioner Using Multi-level Pervasive Attention
StressNet: A Deep Neural Network Based on Dynamic Dropout Layers for Stress Recognition
Semi-supervised Multi-label Dimensionality Reduction via Low Rank Representation
User Multi-preferences Fusion for Conversational Recommender Systems
DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing
The Perfect Recalling Rate of Morphological Associative Memory
Gabor Neural Network Based Facial Expression Recognition for Assistive Speech Expression
Neuronal Mechanism of Speech Hearing: An fMRI Study
The Role of AI in Optimizing Human-Centered Complex Systems
Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-Driven Statistical Approach
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
Information Geometry and Information Theory in Machine Learning
STA3DCNN: Spatial-Temporal Attention 3D Convolutional Neural Network for Citywide Crowd Flow Prediction
DYME: A Dynamic Metric for Dialog Modeling Learned from Human Conversations
Intensity-Depth Face Alignment Using Cascade Shape Regression
Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-chain Cross-Chain Data
IDPL: Intra-subdomain Adaptation Adversarial Learning Segmentation Method Based on Dynamic Pseudo Labels
Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM
Model-Based Reinforcement Learning with Self-attention Mechanism for Autonomous Driving in Dense Traffic
A Unified Design Method which Generates a Fault Tolerant MLP while Minimizing the Quantization Effects
Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer
Influence of Clustering on the Opinion Formation Dynamics in Online Social Networks
AI Web-Contents Analyzer for Monitoring Underground Marketplace
Hyper-Sphere Support Vector Classifier with Hybrid Decision Strategy
IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
Methods of Linear Combination Based on Different Features
Unsupervised Segmentation Using Cluster Ensembles
Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment
Application of Deep Learning Methods in the Diagnosis of Coronary Heart Disease Based on Electronic Health Record
Feature Group Weighting and Topological Biclustering
A Novel Vascular Robotic System: Performance Evaluation
A Novel Approach for Sound Approaching Detection
Another Fuzzy Clustering Algorithm
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I
Temporal Modeling Approach for Video Action Recognition Based on Vision-language Models
Serial Processing of Emotional Type and Intensity: Evidence from an ERP Study
Aspect-Level Sentiment Classification with Conv-Attention Mechanism
On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization
DLAFormer: A Novel Approach to Image Super-Resolution with Comprehensive Attention Mechanisms
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part V
Homography-Based Visual Servo Tracking Control of Wheeled Mobile Robots with Simultaneous Depth Identification
Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography
Japanese Neuroinformatics Node and Platforms
On Searching for Minimal Integer Representation of Undirected Graphs
SMANet: Saliency-Guided Multi-task Attention Network for Diabetic Retinopathy Grading
Modeling of Synapse-Dendrite-Soma Computational Brain Functions
A Cascade System of Simple Dynamic Binary Neural Networks and Its Sparsification
An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm
Changes in Occupational Skills - A Case Study Using Non-negative Matrix Factorization
Scalable Video Coding Using Hybrid DCT/Wavelets Architectures
SSVEP Data Augmentation Based on Filter Band Masking and Random Phase Erasing
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
Biophysical Modeling of a Drosophila Photoreceptor
Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture
Speaker Segmentation Based on Subsegmental Features and Neural Network Models
Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM
Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process
Test-Time Adaptation with Angular Distance-Based Prediction
CSTFormer: Cross Spatial-Temporal Learning Transformer with Fourier Filtering Operators for Multivariate Time Series Classification
A Robust Keypoints Matching Strategy for SIFT: An Application to Face Recognition
Attention-Based Deep Convolutional Network for Speech Recognition Under Multi-scene Noise Environment
Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech
An Intelligent Agent Based Land Encroachment Detection Approach
Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test
A Domain Knowledge-Based Semi-supervised Pancreas Segmentation Approach
Forward Iterative Feature Selection Based on Laplacian Score
ASLEEP: A Shallow neural modEl for knowlEdge graph comPletion
Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery
Class-Incremental Learning with Multiscale Distillation for Weakly Supervised Temporal Action Localization
Point Cloud Completion with Difference-Aware Point Voting
EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube
Learning of a Multiple Threshold Perceptron Based on Stochastic Approximation
Stereo Saliency Map Considering Affective Factors in a Dynamic Environment
Towards High-Performance Exploratory Data Analysis (EDA) via Stable Equilibrium Point
Leveraging Two-Scale Features to Enhance Fine-Grained Object Retrieval
On the Use of Score Ratio with Distance-Based Classifiers in Biometric Signature Recognition
A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream
Adaptive Decision Making in Ant Colony System by Reinforcement Learning
Botnet Detection Using Graphical Lasso with Graph Density
RL-Gen: A Character-Level Text Generation Framework with Reinforcement Learning in Domain Generation Algorithm Case
Event Causality Identification by Modeling Events and Relation Embedding
Context-Free Multiple-Object Segmentation Using Edge-Preserving Attention Operator Based on Modified GST
Generation of Environmental Representation of a Large Indoor Parking Lot
An Iterative Model for Predicting Film Attendance
Modeling Post-training Memory Transfer in Cerebellar Motor Learning
A Review of EEG Signal Simulation Methods
How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus
Modeling the Role of Cerebellum in a Sensorimotor Adaptation
Decoding and Predicting Implicit Agreeing/Disagreeing IntentionBased on Electroencephalography (EEG)
Unsupervised Video Hashing by Exploiting Spatio-Temporal Feature
GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps
Enhanced LSTM with Batch Normalization
Enhancing Legal Judgment Prediction with Attentional Networks Utilizing Legal Event Types
Biological Model of Hippocampal Synaptic Modification under Time-Structured Stimuli
An Auxiliary Variational Method
3D Reconstruction with Multi-view Texture Mapping
Blind Separation of Digital Signal Sources in Noise Circumstance
SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval
Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction
A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection
A Joint Learning Model for Open Set Recognition with Post-processing
Korean Neuroinformatics Research Program: From the Second Phase to the Third Phase
Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss
Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem
Mixed Installation to Optimize the Position and Type Selection of Turbines for Wind Farms
Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay
Image Hierarchical Segmentation Based on a GHSOM
Balance Between Performance and Robustness of Recurrent Neural Networks Brought by Brain-Inspired Constraints on Initial Structure
Over-Sampling from an Auxiliary Domain
Simple Models for Synaptic Information Integration
Routing Attention Shift Network for Image Classification and Segmentation
Theoretical Analysis of Various Synchronizations in Pulse-Coupled Digital Spiking Neurons
Single-Image Expression Invariant Face Recognition Based on Sparse Representation
Active Data Partitioning for Building Mixture Models
Parallel Cooperative Co-evolution Based Particle Swarm Optimization Algorithm for Solving Conditional Nonlinear Optimal Perturbation
Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition Based on Spatiotemporal EEG Data
Interactive Semantic Features Selection from Reviews for Recommendation
Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis
Robust Approximation in Decomposed Reinforcement Learning
Spatio-Temporal Graph Convolutional Networks for Pedestrian Trajectory Prediction
Moments of Predictive Deviations for Ensemble Diversity Measures to Estimate the Performance of Time Series Prediction
Adaptive Wavelet Extreme Learning Machine (AW-ELM) for Index Finger Recognition Using Two-Channel Electromyography
Phase Synchrony for Human Implicit Intent Differentiation
Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series