yusuke1997/dblp-id-title huggingface dataset:
HT-Graph: Heterogeneous Continuous-Time Dynamic Graph Representation Learning using Neighbor-store with Restart
SensoryGANs: An Effective Generative Adversarial Framework for Sensor-based Human Activity Recognition
Wave Height Prediction: 3D Spatiotemporal FourCastNet Method with Multi-Factor
Modeling of helper robots in manufacturing systems using Petri Nets
Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques
LockBoost: Detecting Malware Binaries by Locking False Alarms
Intelligent machine fault detection using SOM based RBF neural networks
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2003, Portland, OR, USA, July 20 - 24, 2003
Task Enhancement and Global-Local Information Fusion for Few-Shot Gas Recognition
Spatio-temporal PM2.5 prediction by spatial data aided incremental support vector regression
Mining subcascade features for cascade outbreak prediction in big networks
Upper confidence bound multi-armed bandits for partially observed Hawkes processes
A novel neural network inspired from Neuroendocrine-Immune System
UMLP-IFOCS: Using Multi-Layer Perceptron for Intelligent Field Oriented Control System
Sponge Backdoor Attack: Increasing the Latency of Object Detection Exploiting Non-Maximum Suppression
High Frequency Feature Distillation Network for Compressive Sensing Reconstruction
Stability analysis of self-organizing maps and vector quantization algorithms
A VLSI neural network classifier based on integer-valued weights
Explaining AI for Malware Detection: Analysis of Mechanisms of MalConv
Swarm Q-Leaming With Knowledge Sharing Within Environments for Formation Control
Fast Adversarial Training with Neighborhood Diversity Alignment
A computationally efficient associative memory model of hippocampus CA3 by spiking neurons
Training of Large-Scale Feed-Forward Neural Networks
FMR-DBv2: an Improved Database for Mask and Respirator Type and FFP Protection Level Recognition Through Deep Learning
Hierarchical clustering identifies hub nodes in a model of resting-state brain activity
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks
An Automatic Type-Inferential General Latent Feature Model
Assessing fish abundance from underwater video using deep neural networks
Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping
TC-GAT: Graph Attention Network for Temporal Causality Discovery
Combining offline and online classifiers for life-long learning
SSR: Explainable Session-based Recommendation
A Target-Guided Neural Memory Model for Stance Detection in Twitter
Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection
A simulation based approach to forecast a demand load curve for a container terminal using battery powered vehicles
A novel method for training and classification of ballistic and quasi-ballistic missiles in real-time
Predicting protein structural features with NeuroEvolution of Augmenting Topologies
DisGAN: Distance-Aware Generative Adversarial Network for Diverse Image Generation
Image Clustering Using a Growing Neural Gas with Forbidden Regions
Comparative analysis of neural predictive controllers and its application to a laboratory tank system
How complex-valued multilayer perceptron can predict the behavior of deterministic chaos
A Re-Ranking Framework for Knowledge Graph Completion
Anchor Query based Transformer for Lane Detection
DCPE co-training: Co-training based on diversity of class probability estimation
Gaussian Process kernels for popular state-space time series models
Enhanced Reverse Distillation Guided Segmentation Network for Anomaly Detection
Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Non-equilibrium Loss Landscapes via the Fokker-Planck Equation
A Neural Network Approach to the Inspection of Ball Grid Array Solder Joints on Printed Circuit Boards
Physics-Informed Neural Networks for Modeling Traveling Waves in Nonlinear Lattices
Contrastive Relevance Propagation for Interpreting Predictions by a Single-Shot Object Detector
Dynamic Feature Selection Based on Pareto Front Optimization
Triply fuzzy function approximation for Bayesian inference
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning
Comparison of Two Classification Methods Trained with FD-FLIM Data to Identify and Distinguish Plastics from Environmental Materials
Deep Neural Network Driven Binaural Audio Visual Speech Separation
A Co-Training-based Algorithm Using Confidence Values to Select Instances
Two-stage structured learning approach for stable occupancy detection
Hybrid inductive models: deterministic crowding employed
Multi-enhanced Adaptive Attention Network for RGB- T Salient Object Detection
Neural Reasoning, Fast and Slow, for Video Question Answering
Segmentation of Virus-Infected areas in Retinal Angiograms Using a Learning-by-Sample Approach
Deep RNN with Pseudo Loss Objective for Forecasting Stop-over Decisions of Wild Migratory Birds
A two-dimensional shift invariant image classification neural network which overcomes the stability/plasticity dilemma
News Topic Sentence Generation Based on Two-stage Summarization
Using data mining to extract knowledge from student evaluation comments in undergraduate courses
Hiding Data in Images Using Spectral Filtering and Deep Neural Networks
Cross Domain Deep Collaborative Filtering without Overlapping Data
Co-clustering enterprise social networks
A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum
An Inverse Prospect Theory Based-Approach for Linear Ordinal Ranking Aggregation with Its Application in Site Selection of Electric Vehicle Charging Station
Regularization and Iterative Initialization of Softmax for Fast Training of Convolutional Neural Networks
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
Self-trapping in an attractor neural network with nearest neighbor synapses mimics full connectivity
Mixing Update Q-value for Deep Reinforcement Learning
Learning algorithm for self-organizing map classification of electroencephalogram patterns with individual differences
Weibull partition models with applications to hidden semi-Markov models
Multiclass least squares support vector machines
Pedestrian Re-identification using a Surround-view Fisheye Camera System
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation
ADL: Active dictionary learning for sparse representation
Categorization and symbol grounding in a complex environment
High-Performance Spatio-Temporal Information Mixer for Traffic Forecasting
Is There a Purpose to Network Redundancy?
A comparison between ANN and SVM classifiers for Parkinson's disease by using a model-free computer-assisted handwriting analysis based on biometric signals
SVM classification for imbalanced data using conformal kernel transformation
DOA: Advancing Cross-View Geo-Localization via Domain and Objective Alignment
Dynamic Network Link Prediction by Learning Effective Subgraphs using CNN-LSTM
A parameterless mixture model for large margin classification
Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets
Self-reorganizing knowledge representation for autonomous learning in social agents
Distributed control for second-order leader-following multi-agent systems with heterogeneous leader
Improving generalisation using neural bidirectional convergence
Improving the genetic-algorithm-optimized wavelet neural network for stock market prediction
Short-term load forecasting for electrical regional of a distribution utility considering temperature
New learning factor and testing methods for conjugate gradient training algorithm
Rule extraction as a formal method for the verification and validation of neural networks
Dialog Act classification using acoustic and discourse information of MapTask Data
Dynamic Unit Surgery for Deep Neural Network Compression and Acceleration
Simplified Control Structure for Current Control of Single Phase Rectifiers Using COT-ANN-PWM
A cascaded step-temporal attention network for ECG arrhythmia classification
A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Letter Image Recognition
Modified Forward Only Counterpropogation Network (MFOCPN) for Improved Color Quantization by Entropy based Sub-clustering
Classification of fetal heart rate during labour using hidden Markov models
A robust extended Elman backpropagation algorithm
Occlusion-Aware Visual-Language Model for Occluded Facial Expression Recognition
Parallel ant colony optimizers with local and global ants
MSCANet: A Multi-Scale Convolutional Attention Network for Cardiac Image Segmentation
Sparse Optimization for Second Order Kernel Methods
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving
Refining Hidden Markov Models with Recurrent Neural Networks
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification
Component Analysis for Visual Question Answering Architectures
A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
Exploiting diversity of margin-based classifiers
A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome
Vehicle detection using Bayesian Network Enhanced Cascades Classification (BNECC)
Fully distributed diagnosis by PDP learning algorithm: towards immune network PDP model
Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data
Accelerating Reinforcement Learning for Reaching Using Continuous Curriculum Learning
Partitioning strategies for modular neural networks
Buried Underwater Object Classification Using a Collaborative Multi-Aspect Classifier
Experimental evaluation of a hybrid method for configuring ensemble encoding receptors
Accelerating Simulation-Based Inference with Variational Autoencoders
Optimal Excitatory and Inhibitory Balance for High Learning Performance in Spiking Neural Networks with Long-Tailed Synaptic Weight Distributions
Class specific redundancies in natural images: A theory of extrastriate visual processing
Bayesian Bidirectional Backpropagation Learning
Fast diagnosing of pediatric respiratory diseases by using high speed neural networks
Actions as contexts
Reducing cold start problems in educational recommender systems
A Compact Encoding for Efficient Character-level Deep Text Classification
Self-calibrated U-Net for Document Segmentation
Random brains
A comparison of combination methods for ensembles of RBF networks
FAMNet: Integrating 2D and 3D Features for Micro-expression Recognition via Multi-task Learning and Hierarchical Attention
Evolutionary Search for Interesting Behavior of Neural Network Ensembles
Biased support vector machine for relevance feedback in image retrieval
Multilayer perceptron based optimal state space reconstruction for time series modelling
Performance optimization of function localization neural network by using reinforcement learning
A Comprehensive Framework and Empirical Analysis for Evaluating Large Language Models in Arabic Dialect Identification
Spatial and Channel Restraint for Complementary Feature Learning
Electrooculogram based sleep stage classification using deep belief network
DeepShapeSketch : Generating hand drawing sketches from 3D objects
Extraction of rules from Artificial Neural Network for Dutch Porous Asphalt Concrete Pavement
Epilepsy detection using multiclass classifier based on spectral features
Efficient training algorithms for neural networks based on memristive crossbar circuits
Human intention understanding based on object affordance and action classification
Feedforward networks with monotone constraints
General layered neural network for stereo disparity detection
Topology-Driven Explainable GNNs for Trojan Detection in Deep Learning
Signal-based autonomous clustering for relational data
Selective Hypothesis Transfer for Lifelong Learning
Relational representation learning with spike trains
Self-organization properties of a discriminator-based neural network
A Novel Joint Model with Second-Order Features and Matching Attention for Aspect-Based Sentiment Analysis
Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning
Neural coding: adapting spike generation for embedded hardware classification
Accelerating the Deep Reinforcement Learning with Neural Network Compression
SCM-DTI: a substructure-oriented method based on a codebook mechanism to improve drug-target interaction prediction
Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic programming
Real-time road surface mapping using stereo matching, v-disparity and machine learning
Speaker identification model for Assamese language using a neural framework
D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks
Bayesian PCA for reconstruction of historical sea surface temperatures
Video Deception Detection through the Fusion of Multimodal Feature Extraction and Neural Networks
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity
Online Anomalous Taxi Trajectory Detection Based on Multidimensional Criteria
Offline handwritten signature verification through network radial basis functions optimized by Differential Evolution
CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks
Multi-view Continual Learning with Scarce Annotation
Compression and stylometry for author identification
EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
Word-Level Textual Adversarial Attack in the Embedding Space
Knowledge processing system using chaotic associative memory
AANN models for speaker recognition based on difference cepstrals
Human behaviour recognition based on trajectory analysis using neural networks
Slow Feature Discriminant Analysis and its application on handwritten digit recognition
Decoding of firing intervals in a temporal-coded spike train using a topographically mapped neural network
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
Semi-supervised Feature Selection Based on Least Square Regression with Redundancy Minimization
New efficient speed-up scheme for cascade implementation of SVM classifier
Agglomerative clustering of defects in ultrasonic non-destructive testing using hierarchical mixtures of independent component analyzers
DSDR: Dynamic Semantic Discard Reader for Open-Domain Question Answering
WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution
Automatic fault detection and diagnosis for photovoltaic systems using combined artificial neural network and analytical based methods
Negative emotion detection using the heart rate recovery and time for twelve-beats heart rate decay after exercise stress test
Chaotic Phenomena from Motion in Image Sequences
A Hybrid Character Representation for Chinese Event Detection
Optimized latent-code selection for explainable conditional text-to-image GANs
Universum learning for SVM regression
Enhancing Synthetic Image Realism with Controlled Diffusion Models
Maximum/minimum detection by a module-based neural network with redundant architecture
Active semi-supervised learning using particle competition and cooperation in networks
Audio event and scene recognition: A unified approach using strongly and weakly labeled data
Reconstructing computational principles in a vertebrate adaptive reflex system
A case for multiple and parallel RRAMs as synaptic model for training SNNs
A unified model for support vector machine and support vector data description
Creative dynamics approach to optimization problems
Bayesian Graph Convolutional Neural Network with Noise Injection
Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches
Convergence of the Hopfield neural networks with inequality constraints
Classification and Regression Analysis of Lung Tumors from Multi-level Gene Expression Data
A forecast-based biologically-plausible STDP learning rule
Si elegans: Hardware architecture and communications protocol
Deep Learning Ensemble for Melanoma Recognition
Heterogeneous Trust-based Social Recommendation via Reliable and Informative Motif-based Attention
Two state transitions mediated by spontaneous and/or intensive stimulus on an integrate-and-fire neural network model
Spatio-temporal Map Formation based on a Potential Function
DependencyMerge Guided Latent Tree Structure for Aspect-Based Sentiment Analysis
Hybrid and hardware-oriented approaches for quantum diffusion models
Gradient Descent in Feed-Forward Networks with Binary Neurons
Evolutionary NAS in Light of Model Stability for Accurate Continual Learning
Functional and physical constraints for evolving small-world structure in embodied networks
Building Decision Forest via Deep Reinforcement Learning
ReRAM Crossbar based Recurrent Neural Network for human activity detection
Distributions-free Martingale test Distributions-shift for Swarm Behavior Prediction
Improving deep neural network ensembles using reconstruction error
DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems
An SNN-Based and Neuromorphic-Hardware-Implementable Noise Filter with Self-adaptive Time Window for Event-Based Vision Sensor
Graph-based KB and Text Fusion Interaction Network for Open Domain Question Answering
Rejection based support vector machines for financial time series forecasting
A Recurrent Neural Network for Non-smooth Nonlinear Programming Problems
Visualization and classification of graph-structured data: the case of the Enron dataset
Modelling of active microwave transistors using artificial neural networks
Exploring the space of adversarial images
Active semi-supervised learning for multi-target regression
FedAdap: An Adaptive Federated Knowledge Graph Embedding Framework for Tackling KGs Heterogeneity via Partial Model Sharing
An event-driven model for the SpiNNaker virtual synaptic channel
Robust semi-supervised nonnegative matrix factorization
Building MLP Networks by Construction
Deep Successive Subspace Learning for Data Clustering
Competing Hidden Markov Models on the Self-Organizing Map
Contemporary Advances in Neural Network Quantization: A Survey
The Multiple Pairs SMO: A modified SMO algorithm for the acceleration of the SVM training
A New Deterministic Annealing Algorithm for Maximum Clique
Modeling Relational Correlations with Dual-View Transformation for Temporal Knowledge Graph Forecasting
Neural networks-based scheme for fault diagnosis in fossil electric power plants
Three heuristics for receptive field optimization for ensemble encoding
Plant Classification Using Artificial Neural Networks
Adaptive state estimation using dynamic recurrent neural networks
Robot control with a fully tuned Growing Radial Basis Function neural network
Boundary Region Sensitive Classification for the Counterpropagation Neural Network
Incorporating Distributed Invariants in Autonomous Cybersecurity Knowledge Graphs: A Scalable Approach Using GNNs and LLMs
Deep Convolutional Spiking Neural Network Based Hand Gesture Recognition
Graph Neural Networks for Heterogeneous Trust based Social Recommendation
Distributing SOM Ensemble Training using Grid Middleware
Intelligent sensor design in network based automatic control
Selection of weighing functions in H∞ controller design using PBIL
Multi-objective χ-Armed bandits
A Unified Framework To Find Differentially Expressed Genes from Microarray Experiments
A character-based convolutional neural network for language-agnostic Twitter sentiment analysis
Multi-label feature selection algorithm based on label pairwise ranking comparison transformation
PDCU-Net: A Depth Model by Imitating Expert Diagnostic Thinking for Corneal Ulcer Classification on Slit-Lamp Images
GAN2C: Information Completion GAN with Dual Consistency Constraints
Evolutionary spectral co-clustering
Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach
A Cardinality Estimation Model Based on Orthogonal Matching Pursuit and Sparse Attention Mechanism
A Hierarchical Inter-Clause Interaction Network for Emotion Cause Extraction
Independent Sub-Band Functions: Model and Applications
Machinery Anomaly Detection using artificial neural networks and signature feature extraction
Rotation-invariant categorization of colour images using the Radon transform
Hierarchical Multi-dimensional Attention Model for Answer Selection
Reinforcement active learning hierarchical loops
MFASleepNet: Multi-view fusion attention-based deep neural network for automatic sleep staging
EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning
A hands free browser using EEG and voice inputs
Impact of different loss functions on denoising of microscopic images
Online variational Bayesian Support Vector Regression
Model Inversion by Parameter Fit Using NN Emulating the Forward Model - Evaluation of Indirect Measurements
Class of memristors from cascade of static nonlinear two ports with dynamic one-ports
Financial Time Series Forecasting Using Non-Linear Methods and Stacked Autoencoders
Preliminary investigation of evaluating surgical performance using an IMU device
Combined nonlinear visualization and classification: ELMVIS++C
FPCRL: Feature Projection and Contrastive Representation Learning for End-to-End Speech Translation
Non-Invasive Motion Analysis for Stroke Rehabilitation using off the Shelf 3D Sensors
Active Learning With Realistic Data - A Case Study
Sparse coding and NMF
Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation
A clustering ensemble method for clustering mixed data
Dynamie modeling of an ostraciiform robotic fish based on angle of attack theory
Bayesian optimization for conditional hyperparameter spaces
Adaptive Level Set with region analysis via Mask R-CNN: A comparison against classical methods
Quantum Convolutional Neural Network Architecture for Multi-Class Classification
Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning
Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation
A surface reconstruction method based on self-organizing maps and intrinsic Delaunay triangulation
A Uniform Performance Index for Ordinal Classification with Imbalanced Classes
RA-LENet:R-Wave Attention and Local Enhancement for Noise Reduction in ECG Signals
An Effective Face Recognition under Illumination and Pose Variations
Classification of Cardiotocographic Records by Neural Networks
Backward Design-Driven Modular Retrieval-Augmented Generation Framework for Automated Instructional Design in Chinese Language Education
Approximation of a function and its derivatives in feedforward neural networks
Neural and statistical processing of spatial cues for sound source localisation
Synthesis method of neural oscillators by network learning
Amplitude and Spike Timing Dependent Plasticity
Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving
An Iterative Learning Algorithm for Multi-Channel Coherence Analysis
Teaching neural networks to guide a vehicle through an obstacle course by emulating a human teacher
Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans
On the relationships between social structures and acquired knowledge in societies
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks
Architecture and simulation of a hybrid memristive multiplier network using redundant number representation
Adaptive modulation in an OFDM communications system with artificial neural networks
Deep Probabilistic Modelling of Price Movements for High-Frequency Trading
Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks
VIP: Versatile Identity Protection with Dual-property Watermarking System
An Efficient Method to Measure Robustness of ReLU-Based Classifiers via Search Space Pruning