yusuke1997/dblp-id-title huggingface dataset:
Some experimental results on sparsely connected autoassociative morphological memories for the reconstruction of color images corrupted by either impulsive or Gaussian noise
Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO
Complexity science for sleep stage classification from EEG
Multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks
EEG source localization by memory network analysis of subjects engaged in perceiving emotions from facial expressions
An improved architecture for Probabilistic Neural Networks
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images
AIS Data-Driven Maritime Monitoring Based on Transformer: A Comprehensive Review
Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network
A comparison of ensemble methods for multilayer feedforward networks
Dual-stream Speech Dereverberation Network Using Long-term and Short-term Cues
CEVulDet: A Code Edge Representation Learnable Vulnerability Detector
Exploring multimodal video representation for action recognition
A Hierarchical Vision Transformer Using Overlapping Patch and Self-Supervised Learning
Incremental update of biometric models in face-based video surveillance
Activity discovery from video employing soft computing relations
Predicting Brazilian and U.S. Elections with Machine Learning and Social Media Data
Learning joint representations for order and timing of perceptual-motor sequences: A dynamic neural field approach
Estimating driving performance based on EEG spectrum and fuzzy neural network
Automatic character recognition for moving and stationary vehicles and containers in real-life images
Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR
Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network
Mixed Degradation Image Restoration via Deep Image Prior Empowered by Deep Denoising Engine
Policy gradient approaches for multi-objective sequential decision making
Neural network models for vision
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper)
Sequence-to-sequence prediction of personal computer software by recurrent neural network
Probabilistic dynamic causal model for temporal data
A two-stage charge-based analog/digital neuron circuit with adjustable weights
Case-base reasoning in vehicle fault diagnostics
Towards importance of periodicity estimation in long-term spatio-temporal data prediction
Deep process neural network for temporal deep learning
Single-trial bistable perception classification based on sparse nonnegative tensor decomposition
Real-time recognition of continuous-time biomedical signals using the Diffusion Network
Shape Morphing and Reconstruction Using A Self-Organizing Feature Map
Product Categorization by Title Using Deep Neural Networks as Feature Extractor
Deterministic Annealing Learning of the Radial Basis Function Nets for Improving the Regression Ability of RBF Network
Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons
Self-organization of object features representing motion using Multiple Timescales Recurrent Neural Network
Adaptive neuro-wavelet control for the ship trajectory tracking problem
Topological Mapping based on Multi-Layer Growing Neural Gas for Topological Twin
Debiased Causal Inference for Sequential Recommendation
Saliency-Aware Projection Usability Enhancement for Dimensionality Reduction through Generative Models
Sensitivity analysis, neural networks, and the finance
Topic Partition of User-Generated Texts for User Identity Linkage Across Social Networks
Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate
An improved PCA algorithm based on WIF
HE-to-PAS histological stain conversion by GAN in renal pathology
Incremental learning using sensitivity analysis
Cerebral Thrombus Segmentation in CT Angiography using Refinement Segmentation Network with Context Pooling
Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining
A constructive algorithm for neural networks inspired on decision trees and evolutionary algorithms
A Method for Tibetan Offensive Language Detection Based on Prompt Learning and Information Theory
AANN-HMM models for speaker verification and speech recognition
Two-Level Test-Time Adaptation in Multimodal Learning
Neuromorphic learning towards nano second precision
Bias Mitigation in Federated Few-Shot Class-Incremental Learning via Multi-Prototype Collaboration
Robust non-negative matrix factorization via joint sparse and graph regularization
Neurophysiology of the primate hippocampus leading to a model of its functions in episodic and spatial memory
Application of the method of elastic maps in analysis of genetic texts
NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection
Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction
Comparing Connectivity-To-Reservoir Conversion Methods for Connectome-Based Reservoir Computing
Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence
Nonlinear component analysis by fuzzy clustering and multidimensional scaling methods
Identifying the Determinants of Infant and Youth Mortality in Portugal: a Machine Learning Approach
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches
On the Ensemble of Collision Perception Neuron Models Towards Ultra-Selectivity
Improving the Transferability of Adversarial Attacks through Experienced Precise Nesterov Momentum
Improvement of Image Classification with Wavelet and Independent Component Analysis (ICA) based on a Structured Neural Network
A Unified Approach on Active Learning Dual Supervision
Face Localization In Color Images Using Dynamic Time Warping And Integral Projections
Using Deep Learning for Mobile Marketing User Conversion Prediction
A discrete-time switching neural network for quadratic programming
Energy management with the support of dynamic pricing strategies in real micro-grid scenarios
A robust framework for short text categorization based on topic model and integrated classifier
Representing ordinal input variables in the context of ordinal classification
A Very Short-Term Online Forecasting Model for Photovoltaic Power based on Two-Stage Resource Allocation Network
Neurodynamics and the mind
PHGNN: Position-aware Graph Neural Network for Heterogeneous Graph Embedding
Modelling geoid undulations with an artificial neural network
Fine-grained Voice Customization via Intensity Guided Latent Space Exploration
SMKD: Selective Mutual Knowledge Distillation
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources
Mamba-based Layer-wise Progressive Fusion Network with Depthwise Enhancement for Low-resource Speech Recognition
Robustness and Privacy Interplay in Patient Membership Inference
Digital spike maps and learning of spike signals
Partial, noisy and qualitative models for adaptive critic based neurocontrol
Wind power forecasting by a new local quadratic wavelet neural network
Sparse density estimation on multinomial manifold combining local component analysis
Spatially and temporally local spike-timing-dependent plasticity rule
BSSIC: Stereo Image Compression Based on Block Shift
Generalized model of biological neural networks: Progressive operational perceptrons
Enhancing Stress-Strain Predictions with Seq2Seq and Cross-Attention based on Small Punch Test
Face detection using biologically motivated saliency map model
Heading for data-driven measures of effective connectivity in functional MRI
DUP-Net: Double U-PoolFormer Networks for Renal Artery Segmentation in CT Urography
Single categorizing and learning module for temporal sequences
Type-aware Enhanced Cylinder Embedding for Multi-hop Reasoning over Knowledge Graphs
Prediction of photoplethysmogram signals using sequential ELM
Nesterov's accelerated gradient and momentum as approximations to regularised update descent
Neurocomputing and associative memories based on ovenized aluminum nitride resonators
Modeling of spiral inductors using artificial neural network
Distributed and Randomized Tensor Train Decomposition for Feature Extraction
Toward a cooperative brain: Continuing the work with John Taylor
DICO-NEEP: NEEP with Distance Information and Constant Optimization
Recurrent competitive networks can learn locally excitatory topologies
Subgraph-Based Attention Network for Multi-Hop Question Answering
Approximated Geodesic Updates with Principal Natural Gradients
Identity-preserving Conditional Generative Adversarial Network
Driving fatigue detection with fusion of EEG and forehead EOG
Sparse Autoencoders for Posture Recognition
A Robust Embedding Method for Anomaly Detection on Attributed Networks
Evolutionary optimization of on-line multilayer perceptron for similarity-based access control
An effective criterion for pruning reservoir's connections in Echo State Networks
Image encryption based on compressed sensing and blind source separation
On The Impact of Different Batch Sizes on Byzantine Robustness in Federated Learning
Object Detection of Occlusion Point Cloud based on Transformer
Kernel adaptive filtering with confidence intervals
UPTPHE: Leveraging Hybrid Attention and Hierarchical Structure for Enhanced Extraction of Patent Technical Phrases
Learning the motion map of a robot arm with neural networks
PD-Vitamin: Uncertainty-driven Preliminary Dosage of Reinforcement Learning Gradients for Online Fine-Tuning of Decision Transformers
PAC-Bayes Analysis for Twin Support Vector Machines
Hybrid system for cardiac arrhythmia classification with fuzzy k-nearest neighbors and Multi Layer Perceptrons combined by a fuzzy inference system
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
A VLSI Architecture for Weight Perturbation on Chip Learning Implementation
Boosting Text Matching with Dependency Tree
Evolution and adaptation of neural networks
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents
Compressing a neural network classifier using a Volterra-Neural Network model
Low-visibility Crop Detection in Agricultural Scenes via Point Cloud Guidance
Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning
Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score
Automatic cluster labeling through Artificial Neural Networks
FlexFFN: Hierarchical Dynamic Selection of Feedforward Networks for Large Language Models
Synchrony and Asynchrony of Coincident Spikes of Neural Populations Depending on Line Drawings
Compact Electronic Nose Systems Using Metal Oxide Gas Sensors for Fire Detection Systems
The Leaky Integrate-and-Fire neuron: A platform for synaptic model exploration on the SpiNNaker chip
Feature space distance metric learning for discriminant graph embedding
Random-forest-based automated cell detection in Knife-Edge Scanning Microscope rat Nissl data
Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes
Enhancing Interpretability of Convolutional Neural Networks with Dynamic Weighted Path Integral
Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors
Analysis of dynamic linear and non-linear memristor device models for emerging neuromorphic computing hardware design
Dynamic Multi-Scale Spatial-Motion Feature Learning for Continuous Sign Language Recognition
Elliptical basis function networks and radial basis function networks for speaker verification: a comparative study
An intelligent hybrid controller for speed control and stabilization of synchronous generator
Distance-Guided Mask Propagation Model for Efficient Video Object Segmentation
A chaotic ring neural oscillator of three nonmonotonic neurons
An experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers
Neural Networks for Complex Valued Signals: A Preliminary Study
Improving Generalization Performance of Adaptive Learning Rate by Switching from Block Diagonal Matrix Preconditioning to SGD
Exploiting complexity in evolutionary search using neural networks
Color and texture features for person recognition
Forecasting stock index increments using neural networks with trust region methods
Joint Image and Feature Enhancement for Object Detection under Adverse Weather Conditions
A deep sparse coding method for fine-grained visual categorization
An introduction to information theoretic learning
GapDNER: A Gap-Aware Grid Tagging Model for Discontinuous Named Entity Recognition
A Hierarchical Self-Organizing Controller for Navigation of Mobile Robots
A class of learning for optimal generalization
An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System
Machine Learning Algorithms in Quantum Computing: A Survey
High-fidelity compression of extracellular recordings from motor cortex
DNA microarray analysis using Equalized Orthogonal Mapping
Artificial immune systems for Artificial Olfaction data analysis: Comparison between AIRS and ANN models
Application of self organizing Kohonen map to detection of surgeon motions during endoscopic surgery
Tagging documents using neural networks based on local word features
Extraction of 2D-pattern signatures for protein folds
MTS-DeepNet for lane change prediction
Modeling network attacks for scenario construction
Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system
Maximal margin learning vector quantisation
Threshold-based dynamic annealing for multi-thread DAEM and its extreme
Spectral Clustering with Reverse Soft K-Nearest Neighbor Density Estimation
A New Method of Solving Permutation Problem in Blind Source Separation for Convolutive Acoustic Signals in Frequency-domain
Maximal-discrepancy bounds for regularized classifiers
Using Connectome Features to Constrain Echo State Networks
Localization of Concept Drift: Identifying the Drifting Datapoints
You Get What You Focus on: A Weighting Factor for IoU-based Regression Loss
Modeling Sentiment-Speaker-Dependency for Emotion Recognition in Conversation
Coupled term-term relation analysis for document clustering
A neural network approach to ordinal regression
Global Similarity Relocation Hashing for Unsupervised Cross-modal Retrieval
Dialogue Act Recognition Based on Self-supervised Act Denoising
On Dimension-Independent Approximation by Neural Networks and Linear Approximators
Prediction of spring discharge by neural networks using orthogonal wavelet decomposition
Mapping Road Lanes Using Laser Remission and Deep Neural Networks
A neural network receiver for EM-MWD baseband communication systems
Inverse PCA method for weight initialization in CMLP network
The Cramming, Softening and Integrating Learning Algorithm with Parametric ReLU Activation Function for Binary Input/Output Problems
Subcellular localisation of proteins in fluorescent microscope images using a random forest
Simulation of large neuronal networks with biophysically accurate models on graphics processors
Automatic discovery of metagenomic structure
Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game
RFPO: Enhancing Mathematical Reasoning of Large Language Models with Fine-Grained Preference Optimization
A Higher Order Associative Memory with McCulloch-Pitts neurons and Plastic Synapses
Fed-SMTDA: A Novel Framework for Federated Source-Free Multi-Target Domain Adaptation Using Feature Clustering and Adaptive Aggregation
A connectionist model of associative storage and recall of 3D objects
Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation
Parallel convolution algorithm using implicit matrix multiplication on multi-core CPUs
Design static VAR compensator controller using artificial neural network optimized by modify Grey Wolf Optimization
Message Drives Image: A Coverless Image Steganography Framework Using Multi-Domain Image Translation
A Feature Learning based Technique to Classify Medline Disease Abstracts
Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization
Efficient Adversarial Defense without Adversarial Training: A Batch Normalization Approach
Building block of a programmable neuromorphic substrate: A digital neurosynaptic core
GridNet: Vision-based Mitigation of GPS Attacks for Aerial Vehicles
Enhanced speech in noisy multiple speaker environment
Direct Estimation of Fault Tolerance of Feed Forward Neural Networks in Pattern Recognition
Visual Relational Reasoning for Image Caption
Pattern Selection for Support Vector Regression based on Sparseness and Variability
Autonomous Generation of Sub-goals for Lifelong Learning in Robots
On a Fast and Explainable REC HEMS Based on Kolmogorov-Arnold Networks
PL-SDA-Net: Unsupervised Road Detection Using Superpixels Enhanced RGB-Pseudo LiDAR Fusion
Application of Artificial Neural Networks Techniques to Computer Worm Detection
On the clustering of large-scale data: A matrix-based approach
Application of Feedfoward Neuro-Fuzzy Networks for Current Prediction in Electric Arc Furnaces
Multi-View Graph Contrastive Learning for Urban Region Representation
Attention and Adaptive Bilinear Matching Network for Cross-Domain Few-Shot Defect Classification of Industrial Parts
PST-Net: Point Cloud Completion Network Based on Local Geometric Feature Reuse and Neighboring Recovery with Taylor Approximation
Adapting Pre-trained Language Models to Vision-Language Tasksvia Dynamic Visual Prompting
Multi-Behavior Graph Recommendation with Fusion of Sequential Information
Pain recognition and intensity classification using facial expressions
Curriculum Design for Scalable Biologically Plausible Deep Reinforcement Learning
Investigation of four-layer multi-layer perceptron with glia connections of hidden-layer neurons
Two-stage Local Spatio-temporal Event Filter based on Adaptive Thresholds
Personalized federated learning for sedentary behavior classification with heterogeneous feature distributions under adversarial threats
Particle Swarm Optimization of Fuzzy ARTMAP Parameters
Eggplant classification using artificial neural network
High-Adaptive Edge AIGC Collaborative Inference Optimization Mechanism
TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs
Using factorial design to optimise neural networks
Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks
Simulating Parkinson's disease patient deficits using a COVIS-based computational model
"Back-to-basics": Operationalizing data mining and visualization techniques for utilities
A real-time driver identification system based on artificial neural networks and cepstral analysis
A COVID-19 CXR Image Recognition Method Based on Deep Transfer Learning
Innovative embodiment of job interview in emotionally aware communication robot
Meta-Adversarial Training of Neural Networks for Binary Classification
Smoothing backpropagation cost function by delta constraining
Central england temperatures and solar activity: A Computational Intelligence approach
Multi-scale spatio-temporal cross human motion prediction based on self-attention mechanism
Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments
A deep learning enabled subspace spectral ensemble clustering approach for web anomaly detection
BERTops: Studying BERT Representations under a Topological Lens
Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding
Memristor Based Federated Learning for Network Security on the Edge using Processing in Memory (PIM) Computing
Spam filtering with abductive networks
Modeling normal/epileptic brain dynamics with potential application in titration therapy
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images
A recurrent neural network based Schaeffer gesture recognition system
Consecutive face recognition by association cortex-entorhinal cortex-hippocampal formation modal
Model Selection: An Empirical Study on Two Kernel Classifiers
Limitations on the connection weights due to the introduction of threshold self-adjustment
Annealing Based Approach to Optimize Classification Systems
A Novel Multidisciplinary Graduate Education Program in Data Science
Feedback linearization using neural networks applied to advanced pharmacodynamic and pharmacogenomic systems
Models of complex-valued dynamic associative memories and analysis of their dynamics - Analytic and non-analytic activation functions -
Speech separation algorithms for multiple speaker environments
Multivariate Time Series Classification Using Spiking Neural Networks
Predictive planning with neural networks
Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification
Employing adaptive functions and maximum entropy principle for nonlinear blind source deconvolution
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning
Automatic Model Evaluation using Feature Importance Patterns on Unlabeled Data
A Binaural Synthesis with Multiple Sound Sources Based on Spatial Features of Head-related Transfer Functions
Multi-layer perceptron learning in the domain of attributed graphs
Scale-aware and Anti-interference Convolutional Network for Crowd Counting
A Three-Modules Scenario in An Interpretation of Visual Hallucination in Dementia With Lewy Bodies and Preliminary Results of Computer Experiments
The RNN-ELM classifier
Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers
Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition
Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation
Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense
Exploiting the Selfish Gene Algorithm for Evolving Cellular Automata
AutoDes: Few-Shot Named Entity Recognition with Class Descriptions
Ethical and legal issues of the use of computational intelligence techniques in computer security and computer forensics
Finite and infinite horizon optimal triggering of networked control systems
DINO-ViT Enhanced Diffusion for Multi-exemplar-based Image Translation
A projection transform for non-Euclidean relational clustering
On making sense of neural networks in road analysis
Fine-grained Adversarial Image Inpainting with Super Resolution
Face recognition using modular neural networks and fuzzy Sugeno integral for response integration
Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection
Synaptic modification of interneuron afferents in a hippocampal CA3 model prevents activity oscillations
Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series
Dimensionality reduction using a novel neural network based feature extraction method
QueryNILM: Query based Non-Intrusive Load Monitoring with Appliance Embeddings
A hierarchical Bayesian model for pattern recognition
Neural Networks and Classification & Regression Trees Are Able to Distinguish Female with Major Depression from Healhy Controls Using Neuroimaging Data
Efficient instance segmentation using deep learning for species identification in fish markets
An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications
From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System
The effect of noise and sample size on an unsupervised feature selection method for manifold learning
Methodology for automatic extraction of red flags in public procurement