yusuke1997/dblp-id-title huggingface dataset:
Data classification with a relaxed model of variable kernel density estimation
Using Joint Training for Hybrid Automated Augmentations in Graph Contrastive Learning
Neural network based controller design for three-phase PWM AC/DC voltage source converters
Comparison of Static Neural Network with External Memory and RNNs for Deterministic Context Free Language Learning
Indoor Navigation for Mobile Agents: A Multimodal Vision Fusion Model
Clustering in coupled maps on small-world networks
Performance Evaluation of Subspace-based Algorithm in Selecting Differentially Expressed Genes and Classification of Tissue Types from Microarray Data
Hierarchical fast learning artificial neural network
Improving Abstractive Text Summarization with History Aggregation
Competitive Hopfield Neural Network for Stereo Vision Correspondence
Prediction of pitch and yaw head movements via recurrent neural networks
A columnar primary visual cortex (V1) model emulation using a PS3 Cell-BE array
Speeding-up the prototype based kernel k-means clustering method for large data sets
Finding convex hull vertices in metric space
Error Bound Based Noise Schedule Design in Diffusion Models
A comparative investigation of the RePART neural network in pattern recognition tasks
Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks
Learning to reproduce stochastic time series using stochastic LSTM
Adaptive XGBoost for Evolving Data Streams
Normalized phase shift motion energy neuron populations for image velocity estimation
HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems
Online learning control based on projected gradient temporal difference and advanced heuristic dynamic programming
Object perception in the neural modeling fields framework
Audio-visual fuzzy fusion for robust speech recognition
A Novel Hybrid Model Based on Deep Learning and Autoregressive for Air Quality Prediction
TextMamba: Scene Text Detector with Mamba
Regional and online learnable fields
Adaptive Spiking TD3+BC for Offline-to-Online Spiking Reinforcement Learning
Cascading Top-Down Attention for Visual Question Answering
Detection of High-Low Risk Lung Tumors Using Semi-Supervised and Selective Labeling Techniques
Community detection based on local topological information in power grid
A general adaptive dynamic programming approach with experience replay
A computational intelligence-based criterion to detect non-stationarity trends
Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets
Robust Control in Closed Loops Realized by Fast Signal Transmission of Infinite Gain Neurons
Semi-supervised Online Elastic Stochastic Configuration Network to Deal with Concept Drift and Class Imbalance in Data Streams
Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface
Emulation engine for spiking neurons and adaptive synaptic weights
A Unified Multi-Class Anomaly Detection Framework Based on Vision Foundation Models
Toward abstraction from multi-modal data: Empirical studies on multiple time-scale recurrent models
Robust Deep Learning Models against Semantic-Preserving Adversarial Attack
Dynamic Ensemble Selection Using Fuzzy Hyperboxes
Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure
A comparison of learning speed and ability to cope without exploration between DHP and TD(0)
Adaptive Fine-tuning with Language Models in Subject Education Tutoring
Dynamics of structured Complex Recurrent Hopfield Networks
Deep Hashing Capable of Adding New Dataset without Class Labels
Prediction of urban passenger transport based-on wavelet SVM with quantum-inspired evolutionary algorithm
Load profile generator and load forecasting for a renewable based microgrid using Self Organizing Maps and neural networks
On global exponential periodicity of dynamical neural systems
Adversarially Erased Learning for Person Re-identification by Fully Convolutional Networks
A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning
Advanced Face Anti-Spoofing with Depth Segmentation
A Fair Federated Learning Framework With Reinforcement Learning
Extracting symmetry axes: a neural network model
CGDMamba: Boosting Remote Sensing Change Detection with Dual-Mamba
CCCSpell: A Consistent and Contrastive Learning Approach with Character Similarity for Chinese Spelling Check
Image completion with global structure and weighted nuclear norm regularization
STG-Meta: Spatial-Temporal Graph Meta-Learning for Traffic Forecasting
MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data
Dynamic Exploration in Q(lambda)-learning
A novel dictionary learning algorithm for image representation
Reconstruction of Munsell color space by a five-layered neural network
Enhancing Alzheimer's Disease Detection Using LLM-Generated Synthetic Data and Multi-Level Embeddings
Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge
CFD: A Novel Cylindrical Feature Fusion and Mapping Pipeline for Multi-view Self-Supervised Depth Estimation
Controller design via adaptive critic and model reference methods
Reinforcement learning in the real world
Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
An intuitive contrast enhancement of an image data employing the self-organizing relationship (SOR)
Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders
A novel dynamical invariant measure addresses the stability of the chaotic KIII neural network
SAM-RAG: An Self-adaptive Framework for Multimodal Retrieval-Augmented Generation
Enhancing Script Event Prediction Through Contrastive Fine-Tuning on Semantic Similarity
Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease
A Contextual Attention Network for Multimodal Emotion Recognition in Conversation
Reservoir Computing Based on Dynamics of Pseudo-Billiard System in Hypercube
Visual context representation using a combination of feature-driven and object-driven mechanisms
Probabilistic Dynamic Logic of Phenomena and Cognition
CRDA: Content Risk Drift Assessment of Large Language Models through Adversarial Multi-Agent Interaction
Forecasting Events within Temporal Intervals using First Occurrence Distributions
Optimising hyperparameter search in a visual thalamocortical pathway model
RailNet: An Information Aggregation Network for Rail Track Segmentation
UAN: Unsupervised Adaptive Normalization
DQR: Deep Q-Routing in Software Defined Networks
DS-TAGCN: A Dual-Stream Topology Attentive GCN for Node Classification in Dynamic Graphs
A Fault-Value Injection Approach for Multiple-Weight-Fault Tolerance of MNNs
LinWA:Linear Weights Attention for Time Series Forecasting
A subjective-logic-based model uncertainty estimation mechanism for out-of-domain detection
Convergence Analysis of Online Linear Discriminant Analysis
Dense Embeddings Preserving the Semantic Relationships in WordNet
The p-Center machine
Financial crisis early-warning based on support vector machine
E 2 CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction
Probabilistic principal surfaces
Choosing the Kernel parameters of Support Vector Machines According to the Inter-cluster Distance
Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements
Competitive learning for extraction of visual representations of motion
Gated Transformer Representing Region Importance for Image Quality Assessment
Hierarchical Fusion Framework for Multimodal Dialogue Response Generation
Visual Dialog with Explicit Co-Reference Resolution and Personality Consistency
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks
Deep Thompson Sampling for Length of Stay Prediction
Perceptron rule improvement on FIMT-DD for large traffic data stream
Wisdom of the Crowd: Using Multi-human Few-shot Learning to Improve Cross- User Generalization for Error Potentials in BCI Systems
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction
FGA: Fourier-Guided Attention Network for Crowd Count Estimation
Fine-Grained Air Quality Prediction using Attention Based Neural Network
Accelerating critic learning in approximate dynamic programming via value templates and perceptual learning
MeFacialNet: High-Accuracy Micro-expression Recognition on Facial Optical Flow
Transition between position-matching control and rhythm-matching control in hand tracking task is explained by a phase model for hand motion
Self-organizing retinotopic maps applied to background modeling for dynamic object segmentation in video sequences
The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities
A weighted-resampling based transfer learning algorithm
Pattern Learning for Trajectory Anomaly Detection: Recent Developments and Emerging Challenges
Cohort-based kernel visualisation with scatter matrices
Bayesian Likelihood Free Inference using Mixtures of Experts
Vertically-integrated photonic multichip module architecture for vision applications
An Annotator Solves the Cold-Start Problem by Using Emotional Label Replacement and Consistent Selection Mechanism
Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation
Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots
Neurogenetic algorithm applied to Route Planning for Autonomous Mobile Robots
ACT: Adversarial Convolutional Transformer for Time Series Forecasting
Modeling emotional influences on human decision making under risk
Diversity-Driven Offline-to-Online Multi-Player Policy Learning for Football Matches
Novel Ceiling Neuron Model and its Applications
Expose Your Mask: Smart Ponzi Schemes Detection on Blockchain
An application of time delay estimation by ANNs to frequency domain adaptive I-PD controller
Possible nanoelectronic implementation of neuromorphic networks
Robot kinematic control based on bidirectional mapping neural network
Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews
Overhead conductor thermal dynamics identification by using Echo State Networks
Flexible internal body models for motor control: On the convergence of constrained dual quaternion mean of multiple computation networks
Pruning in Ordered Regression Bagging Ensembles
Dynamic Graph Learning with Tensorized Lightweight Graph Convolutional Network
Image Captioning with Partially Rewarded Imitation Learning
SWTA: Sparse Weighted Temporal Attention for Drone-Based Activity Recognition
A universal abstract-time platform for real-time neural networks
Adaptive incremental principal component analysis in nonstationary online learning environments
Efficient Semi-Supervised 3D Medical Image Segmentation via Coarse Label Generation and Reorganization
M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning
CAQ: Context-Aware Quantization via Reinforcement Learning
Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction
A general CAC approach using novel ant algorithm training based neural network
BCI and Multimodal Feedback Based Attention Regulation for Lower Limb Rehabilitation
Phoneme-based word recognition by neural network - a step toward large vocabulary recognition
Predicting protein-ligand binding site with differential evolution and support vector machine
GEMM: A Graph Embedded Model for Memorability Prediction
3D object recognition with a specialized mixtures of experts architecture
FPGA implementation of Bayesian neural networks for a stand-alone predictor of pollutants concentration in the air
DASViT: Differentiable Architecture Search for Vision Transformer
Detecting Major Depression Disorder with Multiview Eye Movement Features in a Novel Oil Painting Paradigm
Model-based clustering with Hidden Markov Model regression for time series with regime changes
Robust bounded logistic regression in the class imbalance problem
CCFD-GAN: Credit Card Fraud Detection Based on Generative Adversarial Networks Enhanced by Penalty Mechanism
Pattern classification by an incremental learning fuzzy neural network
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning
Investigating the Use of an Evolutionary Agent-based System for Classification Tasks
Learning Insulators Segmentation from Synthetic Samples *
A Method of Pedestrian Fine-grained Attribute Detection and Recognition
A simple learning algorithm for growing self-organizing maps and its application to the skeletonization
A new approach for history matching of oil and gas reservoir
Multiple Object Tracking with GRU Association and Kalman Prediction
Reorganization and plasticity in the adult brain during learning of motor skills
OB-YOLO: A UAV Image Detection Model for Reducing Computational Resource Consumption
SPDou: Mastering the DouDiZhu Game with ISPPO Models
Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning
Bridging the Gap of Dimensions in Distillation: Understanding the knowledge transfer between different-dimensional semantic spaces
Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks
Optimal detection of new classes of faults by an Invasive Weed Optimization method
Revisiting Graph Projections for Effective Complementary Product Recommendation
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations
Representation Space Maintenance: Against Forgetting in Continual Learning
Information transmission from a retina implant to the cat visual cortex
Graph Neural Network with Virtual Edge Message Passing for Heterophilous Graphs
A nonparametric criterion for the selection of the number of factors and nonnegative extension for gradient-based matrix factorization
Limit Cycles and Bifurcations in Cellular Nonlinear Networks
Analyzing the Creative Potential of Subjects Using EEG-Induced Capsule Graph Neural Network
Local nonuniformity of the visual perception in the peripheral vision field
Efficient probability density balancing for supporting distributed knowledge discovery in large databases
From Static to Dynamic: A Deeper, Faster, and Adaptive Language Modeling Approach
A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography
Content aware image retrieval with partition-based color features
Multiple-source Domain Adaptation in Rule-based Neural Network
Non-uniform image sampling for robot motion control by the GFS neural algorithm
Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations
Stable reciprocal image associations in cognitive systems
Semi-rotation invariant feature descriptors using Zernike moments for MLP classifier
Mixed generative and supervised learning modes in Deep Predictive Coding Networks
Hybrid Swin Transformer for Appearance Gaze Estimation
CCFN: Depression Detection via Multimodal Fusion with Complex-valued Capsule Network
Latency-based probabilistic information processing in a learning feedback hierarchy
A brain-like multi-hierarchical modular neural network with applications to gas concentration forecasting
A Multimodal Model of Child Language Acquisition at the One-Word Stage
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Segmentation of Partially Occluded Objects by Local Classification
On the characterization of the Oracle for dynamic classifier selection
Spatio-temporal EEG pattern extraction using high-density scalp arrays
Integration of articulatory knowledge and voicing features based on DNN/HMM for Mandarin speech recognition
An Autonomous Diagnostics and Prognostics Framework for Condition-Based Maintenance
Getting better signals out of the brain: decoding algorithms and autonomous electrodes
Tracking the states of a nonlinear system in the weight-space of a feed-forward neural network
A better scaled local tangent space alignment algorithm
Hw-Sw codesign of a flexible neural controller through a FPGA-based neural network programmed in VHDL
MTSR: Mamba-Transformer Network for Super-Resolution Reconstruction on Single Hyperspectral Image
A foreign exchange market trading system by combining GHSOM and SVR
Brillouin temperature extraction technology based on RHN fusion Self-Attention mechanism
Deep reward shaping from demonstrations
Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques
OCAGE: An Input-Level One-Class Backdoor Detection Method Using Feature Map Extraction for DNN
EEG-based driving fatigue prediction system using functional-link-based fuzzy neural network
FA-Net: More Accurate Encrypted Network Traffic Classification Based on Burst with Self-Attention
DA-Mamba: A Dual-domain Attention Mamba-based Image Deraining Network
Design and optimization of Amari neural fields for early auditory-visual integration
Effects of compensation, connectivity and tau in a computational model of Alzheimer's Disease
Group lasso regularized multiple kernel learning for heterogeneous feature selection
A one-layer discrete-time projection neural network for support vector classification
Multiscale Adaptation Fusion Networks for Depth Completion
Sparsity-Aware Distributed Adaptive Filtering Algorithms for Nonlinear System Identification
Disfluency Detection for Real-World Scenarios
Large-scale neural systems for vision and cognition
Adversarial Attack and Defense for Transductive Support Vector Machine
Detecting Video Image Changes Based on Improved Difference Map and Image Fusion
Exploiting Deep Learning for Sentence-Level Lipreading
Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron
Global optimization, Meta Clustering and consensus clustering for class prediction
Speed-up opportunities for ANN in a time-share parallel environment
A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics
Small-footprint convolutional neural network for spoofing detection
Simple algorithm for recurrent neural networks that can learn sequence completion
Box-constrained Discriminant Projective Non-negative Matrix Factorization through Augmented Lagrangian Multiplier Method
Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance
STAR-UNet: Sinogram Transformation using Attention based Residual U-Net
Shift-Invariant Convolutional Network Search
Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism
Using default ARTMAP for cancer classification with MicroRNA expression signatures
Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks
Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm
An Extended RTRL Training Algorithm Using Hessian Matrix
An Assist-as-Needed Controller for Robotic Rehabilitation Therapy Based on RBF Network
Human Action Recognition Using Hybrid Deep Evolving Neural Networks
Analysis of Trainability of Gradient-based Multi -environment Learning from Gradient Norm Regularization Perspective
TD methods applied to mixture of experts for learning 9×9 Go evaluation function
Multi-stream Complementary Interchange Consistency for Semi-Supervised Medical Image Segmentation
Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation
Improving tractability of Clinical Decision Support system
An insight on complexity measures and classification in microarray data
The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012
Neurons Perception Dataset for RoboMaster AI Challenge
MRUIE: Multi-Reference Mapping for Underwater Image Enhancement
Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems
A hierarchical classification algorithm for evaluating energy consumption behaviors
CDM: Text-Driven Image Editing with Composable Diffusion Models
Medical Image Segmentation Using Seeded Fuzzy C-means: A Semi-supervised Clustering Algorithm
Time-multiplexed Reservoir Computing with Percolating Networks of Nanoparticles
Concept Matching for Low-Resource Classification
Artificial neural networks associated to calorimetry to preview polymer composition of high solid content emulsion copolymerizations
A Time-Sensitive Hybrid Learning Model for Patient Subgrouping
Feedback Quantum Neuron for Multiuser Detection
EFSNet: Efficient Frequency Selective Network for Hyperspectral Image Super-Resolution
A novel sample weighting K-means clustering algorithm based on angles information
Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis
Driver yawning detection based on deep convolutional neural learning and robust nose tracking
User Alignment with Jumping Seed Alignment Information Propagation
On initial convergence behavior of the kernel least mean square algorithm
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
On the Combination of Weight-Decay and Input Selection Methods
Effects of widely separated clusters on lotto-type competitive learning with particle swarm features
Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays
GPINN: Physics-Informed Neural Network with Graph Embedding
The Long-Term Memory Transformer with Multimodal Fusion for Radiology Report Generation
New Developments in the Theory and Training of Reformulated Radial Basis Neural Networks
Reference-free review-based product question answering evaluation via distant contrastive learning
Improving Sentence Embeddings of Extractive Question Answering Based on Adversarial and Contrastive Learning
Human implicit intent transition detection based on pupillary analysis
Unconstrained offline handwriting recognition using connectionist character N-grams
FCM-Induced Switching Reinforcement Learning for Collaborative Learning
Automatic Adjustment of Confidence Values in Self-training Semi-supervised Method
CNN-LSTM Network Based Prediction of Human Joint Angles Using Multi-Band SEMG and Historical Angles
fMRI experiments and computational models of the function of the prefrontal cortex and the basal ganglia: a review
Analytical results on pseudo-polynomial functional-link neural units for blind density shaping
Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control
Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning
An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina
Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods
A Study of Continual Learning Methods for Q-Learning
Applying CMAC-Based On-Line Learning to Intrusion Detection
Advanced Densely Connected System with Embedded Spatio-Temporal Features Augmentation for Immunotherapy Assessment
Prototype selection: Combining self-generating prototypes and Gaussian mixtures for pattern classification
Loss Power Minimization Using Particle Swarm Optimization
Orientational features with the SNT-grid
Design and Simulation of a Novel Leader-Follower UAV Cluster and Formation Control Network
A factor - Artificial neural network model for time series forecasting: The case of South Africa
Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality
Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation