yusuke1997/dblp-id-title huggingface dataset:
Discriminative concept learning network: Reveal high-level differential concepts from shallow architecture
Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions
A Dual-Branch Self-attention Method for Mobile Malware Detection via Network Traffic
Recurrent neural networks and exponential PAA for virtual marine sensors
Least-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis
Using Knowledge Graph Dynamics to Describe Group Ideation Effectiveness in Problem Solving
Cd-HRNN: Content-Driven HRNN to Improve Session-Based Recommendation System
Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays
The Case Against Sentiment Analysis for Natural Text
Violating Content Detection Based on Knowledge Graph and Heterogeneous Graph Neural Network
Kohonen feature map associative memory with area representation for sequential analog patterns
Bridging the gap between vision and language: a morphodynamical model of spatial categories
STMOM: A Spatiotemporal Traffic Flow Forecasting Model Based on Multi-Order Markov Chains
Neural Associative Memories and Hidden Markov Models for Speech Recognition
The application of OBE to neural networks
Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries
Forecasting QoS Attributes Using LSTM Networks
The Third Common Interface for Graph Neural Networks
Legal Judgment Prediction via Fine-Grained Element Graphs and External Knowledge
Exponential-weight multilayer perceptron
Online time series prediction with meta-cognition
RAVM-ULM: Exploring Resolution-Aware Detection and Vision-Mamba Imaging for Ultrasound Localization Microscopy
Biophysical basis of neural memory
A programmable facilitating synapse device
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Learning an archetype of a symmetry class
Effective utilization of data in inductive conformal prediction using ensembles of neural networks
PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets
Acoustic Scene Classification using Single Frequency Filtering Cepstral Coefficients and DNN
Information and knowing when to forget it
BSDA in Visual Recognition: Balanced Semantic Data Augmentation for Long-Tailed Data
Density and neighbor Adaptive Information Theoretic Clustering
A Deep Model for Joint Object Detection and Semantic Segmentation in Traffic Scenes
SGDP: A Stream-Graph Neural Network Based Data Prefetcher
An approximate equivalence neural network to conventional neural network for the worst-case identification and control of nonlinear system
Incremental and decremental LDA learning with applications
CADRAG: Credibility-Aware Dynamic Retrieval-Augmented Generation for LLMs
Game Theory & Data Mining model for price dynamics in financial institutions
Integrating Social Circles and Network Representation Learning for Item Recommendation
Modeling direction selective visual neural network with ON and OFF pathways for extracting motion cues from cluttered background
Biomedical data integration and ontology-driven multi-facets visualization
An hardware-aware image polarity detector enhanced with visual attention
Analysis and evaluation of smartphone-based human activity recognition using a neural network approach
Metastability of cortical BOLD signals in maturation and senescence
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense
CICE: Neural Network Interpretability Based on Conceptual Interference Coefficients
Scalable statistical learning: A modular bayesian/markov network approach
A neurogenetic model of muscle EMG to torque
T-maze training of a recurrent CA3 model reveals the necessity of novelty-based modulation of LTP in hippocampal region CA3
FPGA based implementation of a Fuzzy Neural Network modular architecture for embedded systems
Feature selection using multiple auto-encoders
Time series study of GGAP-RBF network: predictions of Nasdaq stock and nitrate contamination of drinking water
Traffic Signals Enhanced Multi-modal Dual-Branch Cooperative Strategy for Autonomous Driving
Improving Deep Learning Approaches for Human Activity Recognition based on Natural Language Processing of Action Labels
Automated Detection of Color Non-Uniformity Defects in TFT-LCD
Accelerating model-based collaborative filtering with item clustering
A novel cost sensitive neural network ensemble for multiclass imbalance data learning
A new delayed projection neural network for solving quadratic programming problems
GA-LoftQ: Gradient-Aware Alternating Least Squares Framework for LoRA Fine-Tuning Quantization
Atrial Fibrillation Detector from ECG on Wearable Edge Devices using Spiking Neural Networks
Nonlinear Model Selection Based on the Modulus of Continuity
Density-Sorting-Based Convolutional Fuzzy Min-Max Neural Network for Image Classification
Classification of EEG signals based on AR model and approximate entropy
AMR-to-Text Generation with Graph Structure Reconstruction and Coverage Mechanism
How chaos boosts the encoding capacity of small recurrent neural networks : learning consideration
Can N-dimensional convolutional neural networks distinguish men and women better than humans do?
Generation of equal length patterns from heterogeneous patterns for using in artificial neural networks
A Character-level Short Text Classification Model Based On Spiking Neural Networks
Poem Generation using Transformers and Doc2Vec Embeddings
A Biologically Inspired Shape Representation Model Based on Part Decomposition
Relating Bayesian learning to training in recurrent networks
Large Scale Imbalanced Classification with Biased Minimax Probability Machine
Trained neural networks play chess endgames
Learning with single integrate-and-fire neuron
Multi-neighborhood Aggregation Network and Multi-level Contrastive Learning for Knowledgeaware Recommendation
Response space construction for neural error correction
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers
Effectiveness of a Coupled Oscillator Network for Surface Discernment by a Quadruped Robot based on Kinesthetic Experience
Eigen-CAM: Class Activation Map using Principal Components
Improving Math Word Problems Solver with Logical Semantic Similarity
On multi-set canonical correlation analysis
Open-Set Semi-Supervised Learning by Distribution Alignment
Gaussian Process Based Sequential Regression Models
ESRA: a Neuro-Symbolic Relation Transformer for Autonomous Driving
Neural approach for bearing fault classification in induction motors by using motor current and voltage
A neurochaotic PSO-guided network based upon perturbed duffing oscillator
A comparative study of linear and quadratic discriminant classifier techniques for variable selection: a case study in predicting the effectiveness of hydroxyurea treatment of sickle cell anemia
Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines
Learning representations in Bayesian Confidence Propagation neural networks
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks
Relative effectiveness of training set patterns for backpropagation
A fast Incremental Kernel Principal Component Analysis for data streams
Knowledge-injected Stepwise Reasoning on Complex KBQA
Stochastic computation of dominant eigenvalue and the law of total variance
ST-RNet: A Time-aware Point-of-interest Recommendation Method based on Neural Network
Global uniform asymptotic stability of memristor-based recurrent neural networks with time delays
Learning to Classify Faster Using Spiking Neural Networks
EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes
Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric
New boosting methods of Gaussian processes for regression
Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks
A Long Short Term Memory Deep Learning Network for the Classification of Negative Emotions Using EEG Signals
Adaptive Bam for Pattern Classification
Effects of Spectral Normalization in Multi-Agent Reinforcement Learning
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression
Performance optimization of echo state networks through principal neuron reinforcement
High-Frequency Information Assisted Superpixel Attention for Lightweight Image Super-Resolution
MFSF-NET: Building Extraction Based On Fusion Of Spatial Domain And Multi-scale Frequency Domain
FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm
Description of Internet user behavior
Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants
E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction
Autonomous learning and chaining of motor primitives using the Free Energy Principle
Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes
Non-negative matrix factorization Vs. FastICA on mismatch negativity of children
Solving quadratic programming problems with linear Hopfield networks
Multitask Stress Detection on Low-frequency Physiological Signals
Adversarial Pairwise Multimodal Recommendation
Financial data analysis using the informational energy unilateral dependency measure
Testing decision systems with classification components
Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin
Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method
Exploit Domain Knowledge: Smarter Abductive Learning and Its Application to Math Word Problems
A dynamic self-structuring neural network model to combat phishing
FALCON: a fusion architecture for learning, cognition, and navigation
Further results on the EKF-CRTRL equalizer for fast fading and frequency selective channels
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation
Reconfigurable subthreshold CMOS perceptron
Efficient Neural Decoder: Mixture-Regularized Bidirectional GRU with Attention
Label Distribution Feature Selection Based on Mutual Information in Fuzzy Rough Set Theory
A Multi-task Learning Model for Gold-two-mention Co-reference Resolution
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction
SENMap: Multi-objective dataflow mapping & synthesis for hybrid scalable neuromorphic systems
Adaptive Adversarial Transfer Learning for Electroencephalography Classification
Transparent Projection Networks for Interpretable Image Recognition
TransKP: Transformer based Key-Phrase Extraction
Reliable Agglomerative Clustering
Soft Upper-bound Minimal Complexity LP SVMs
Estimating Soc in Lead-Acid Batteries Using Neural Networks in a Microcontroller-Based Charge-Controller
Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects
WSN-ANN: Parallel and distributed neurocomputing with wireless sensor networks
Neural Architecture Search for Time Series Classification
A constraint satisfaction neural network for medical diagnosis
MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification
Validating the stable clustering of songs in a structured 3D SOM
Convolutional Recurrent Neural Networks for Text Classification
On the Properties of Time Trajectories Learned by the Cerebellar Cortex
Time Dependent Directional Profit Model for Financial Time Series Forecasting
Efficient Text Classification with Echo State Networks
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Temporal semantics: An Adaptive Resonance Theory approach
AER Neuro-Inspired interface to Anthropomorphic Robotic Hand
A fast shape retrieval using dendrogram
Deep inverse regression with modified document probability for text classification
Face sequence recognition using Grassmann Distances and Grassmann Kernels
Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method
Cliques in Neural Ensembles as Perception Carriers
Mini-batch spectral clustering
Parameter sensitivities of a neuro-based adaptive controller with guaranteed stability
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
Enhancing incremental learning in MLP networks using ensemble encoding of network inputs
Neuro-dynamic programming with recurrent critic for automatic train regulation of metro line
Machine Vision for Construction Equipment by Transfer Learning with Scale Models
Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks
Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation
Classification of prostate tissue using neural networks
BonCC:A Lightweight TW3-based Bone Age Assessment Coordinate Classification Model
A Large-Scale Mapping Method Based on Deep Neural Networks Applied to Self-Driving Car Localization
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation
Neural Networks and Volterra series for modeling new wireless communication devices
Extending SpikeProp
EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks
A RSCMAC based forecasting for Solar Irradiance from local weather information
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations
Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
New method on the complete stability of delayed cellular neural networks
Research on Dynamic Curriculum Learning in Mongolian-Chinese Neural Machine Translation
Traffic sign detection by ROI extraction and histogram features-based recognition
GenPower-NeRF: A Neural Radiance Field Method with Powerful Generalization
CcGL-GAN: Criss-Cross Attention and Global-Local Discriminator Generative Adversarial Networks for text-to-image synthesis
A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP
Designing Customized Lightweight Backbones for the Face Detection Task
Unified Knowledge Based Economy neural forecasting map
Patching Deep Neural Networks for Nonstationary Environments
Neural networks and Markov models for the iterated prisoner's dilemma
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Chaotic associative memory for sequential patterns
Data assimilation using NeuroEvolution of Augmenting Topologies
FMFNet: Improve the 3D Object Detection and Tracking via Feature Map Flow
MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins
An Empirical Evidence of the Financial Performance of Lean Production Adoption: A Self-Organizing Neural Networks Approach
A framework for benchmarking machine learning methods using linear models for univariate time series prediction
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Complex social network partition for balanced subnetworks
Kernel-based canonical coordinate decomposition of two-channel nonlinear maps
Scaling up support vector data description by using core-sets
TCL: Trend-consistent Contrastive Learning for Stock Movement Prediction
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects
An Intelligent System for Prediction of Orthodontic Treatment Outcome
Neural network data fusion concepts and application
DiffuER: Auxiliary Regularized Diffusion Model for Text Generation with Semantic Consistency
Latent Neural Phase Model for Synchronization Analysis
A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors
Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension
Predicting Drug Targets from Heterogeneous Spaces using Anchor Graph Hashing and Ensemble Learning
Determining in-situ stress profiles of hydrocarbon reservoirs from geophysical well logs using intelligent systems
Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders
A game-theoretic formulation on adaptive categorization in ART networks
Robust Pattern Recognition by Interpolating Vectors
FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data
Cross-Aggregation Based Information Re-Enhancement for Recommendation
A synergistic view of autonomous cognitive systems
Switching Dynamics of Multi-Agent Systems: Soap Froths Paradigm
Fundamental Rights and AI Impact Assessment: a proposal for a new quantitative approach
Location-aware Fashion Attribute Recognition and Retrieval
Versatile neural network method for recovering shape from shading by model inclusive learning
Norm Conflict Identification using Vector Space Offsets
Improving Retrieval-Based Question Answering with Deep Inference Models
Neural-network-based approximate predictive control for the start-up of a steam generator
Textural and deep learning methods in recognition of renal cancer types based on CT images
Study of YOLOv8-Based Techniques for Detecting Road Surface Damage
SARSA-based reinforcement learning for motion planning in serial manipulators
Simple yet Effective Gradient-Free Graph Convolutional Networks
Knowing how to juggle: dynamical basis of a complex, learned skill
A Genetic Algorithm Method for Sensor Data Assimilation and Source Characterization
Hepatitis C Dynamics' Estimation Process by Differential Neural Networks
Primal neural networks for solving convex quadratic programs
Biploar Fuzzy Rough Cognitive Network
Intelligent strain sensing on a smart composite wing using extrinsic Fabry-Perot interferometric sensors and neural networks
VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
Invariant image encoding in neural network for target recognition
Hierarchical Intention Enhanced Network for Automatic Dialogue Coherence Assessment
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training
Japan's center-of-excellence program: two COE's for brain science/technology
Temporal Closing Path for PLM-based Temporal Knowledge Graph Completion
A fully integrated analog neuron for dynamic multi-layer perceptron networks
Multimodal Lumbar Spine Segmentation Pipeline with Optimized Deep Learning and Network Pruning
Extended scaled neural predictor for improved branch prediction
Ambient living activity recognition based on feature-set ranking using intelligent systems
Ultra-short-pulse acoustic imaging using complex-valued spatio-temporal neural-network for null-steering: Experimental results
Residual-Based Attention in Kolmogorov-Arnold Networks for Solving Partial Differential Equations
Multi-modal cyberbullying detection on social networks
Performance of combined artificial neural networks for forecasting landslide displacement
On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects
Temporal progression in functional connectivity determines individual differences in working memory capacity
Model selection in top quark tagging with a support vector classifier
An intelligent system for detection of nematodes in digital images
Video steganalysis using motion estimation
Predicting Group Cohesiveness in Images
Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft
Revisiting the Knowledge Recall and Selection in Chinese Spelling Correction
Empirical Modeling of Very Large Data Sets Using Neural Networks
On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces
T-NER: Triple embedding for Chinese Named Entity Recognition
A low-power memristive neuromorphic circuit utilizing a global/local training mechanism
Neuro-hybrid genetic algorithm based economic dispatch for utility system
A hybrid neural system for the automatic segmentation of the interventricular septum in echocardiographic images
Experimental study on human-machine interaction for dynamical balancing control based on a building block type device with parallel two-wheeled vehicles
Snap-drift: real-time, performance-guided learning
Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization
Identification of a typical CD player arm using a two-layer perceptron neural network model
SegQNAS: Quantum-inspired Neural Architecture Search applied to Medical Image Semantic Segmentation
SAI a Sensible Artificial Intelligence that plays Go
Fair Selection through Kernel Density Estimation
CTVAE: Current Task Variational Auto-Encoder with Dynamic Ensemble Loss for Few-Shot Learning
Multidimensional splines with infinite number of knots as SVM kernels
STNAM: A Spatio-Temporal Non-autoregressive Model for Video Prediction
Learning algorithms for auto-associators with full storage capacity
Dual instance and attribute weighting for Naive Bayes classification
Multiple kernel learning with ICA: Local discriminative image descriptors for recognition
Predicting Spike Activity in Neuronal Cultures
Design of dynamic Petri recurrent-fuzzy-neural-network scheme for mobile robot tracking control
Neural network-based taxonomic clustering for metagenomics
What is Wrong with Visual Brain Decoding? A Saliency-based Investigation
Transfer learning based compressive tracking
Global feature space neural network for active object recognition
Prediction of electronic parameters of compensated multi-crystalline solar-grade silicon using artificial neural networks
Metaclasses and zoning for handwritten document recognition
A hybrid self-organizing Neural Gas based network
Reinforcement Learning Framework to Simulate Short-Term Learning Effects of Human Psychophysical Experiments Assessing the Quality of Artificial Vision
Genetic optimization of ensemble neural networks for complex time series prediction
Robustness to Noisy Synaptic Weights in Spiking Neural Networks
Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics
HKE-GCN: Heatmaps-guided Keypoints Encoder and Graph Convolutional Network for Human Pose Estimation
Bert and Relation Graph Attention Network For Entity Alignment
Fuzzy Adaptive Resonance Theory Combining Overlapped Category in consideration of connections
Multiscale Attention Knowledge Distillation for Object Detection
Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning
Cluster Distance Factor Searching by Particle Swarm Optimization for Self-Growing Radial Basis Function Neural Network
Creation of spiking neuron models applied in pattern recognition problems
Tropical Neural Networks and Its Applications to Classifying Phylogenetic Trees
Research on Student Classroom Behavior Recognition Method Based on RTDETR
Neural network modelling of the 20-year flood event for catchments across the UK
A Preprocessing Layer in Spiking Neural Networks - Structure, Parameters, Performance Criteria
A Fast ADMM Framework for Training Deep Neural Networks Without Gradients
Feature selection for support vector regression via Kernel penalization
Improving the robustness of ISOMAP by de-noising
A Feature Fusion-Based ResNet Using the Pooling Pyramid for Age Estimation
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification
Graph Self-Attention Residual Connection Neural Network for Session-Based Recommendation
Addressing Performance Inconsistency in Domain Generalization for Image Classification
Multi-kernel linear programming support vector regression with prior knowledge
A chaotic neural network for reducing the peak-to-average power ratio of multicarrier modulation
Towards automated assessment of engineering assignments
Position control of a mobile inverted pendulum system using radial basis function network
Image Recognition using MLMVN and Frequency Domain Features
One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks