yusuke1997/dblp-id-title huggingface dataset:
ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction
McDiarmid Drift Detection Methods for Evolving Data Streams
Enhancing Question Answering through Effective Candidate Answer Selection and Mitigation of Incomplete Knowledge Graphs and over-smoothing in Graph Convolutional Networks
Optimization of modular neural networks using hierarchical genetic algorithms applied to speech recognition
SciClaimHunt: A Large Dataset for Evidence-based Scientific Claim Verification
Task-adaptive Relation Dependent Network for Few-shot Learning
Fault Tolerance in the Learning Algorithm of Radial Basis Function Networks
Dimensionality reduction in continuous evolutionary optimization
Artificial neural network application for material evaluation by electromagnetic methods
Matched neural filters for EMI based mine detection
Design of the 2015 ChaLearn AutoML challenge
Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
Nested-loop neural network vector control of permanent magnet synchronous motors
In a Spin-Wave Reservoir for Machine Learning
Research on the classification model of Thangka subjects based on efficient PatchEmbed
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training
TIMM: A Type-Induced Missing-aware Mixture-of-Experts Model for Imputing Missing Modalities
Multi-agent evolutionary design of Flexible Beta Basis Function Neural Tree
Real-time reconstruction of EEG signals from compressive measurements via deep learning
Emp-USIR: A Unidirectional Synchronous Interactive Reasoning Model for Empathetic Dialogue
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network
A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling
Divergent thinking in a neurodynamical model of ideation
Sample path-based policy-only learning by actor neural networks
Twitter Sentiment Classification Based on Deep Random Vector Functional Link
TFD-GCL: Telecommunications Fraud Detection Based on Graph Contrastive Learning with Adaptive Augmentation
Modeling dopamine and serotonin systems in a visual recognition network
Amortized Mixture Prior for Variational Sequence Generation
TA-GAN: GAN based Traffic Augmentation for Imbalanced Network Traffic Classification
A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition
Learning from positive and negative rewards in a spiking neural network model of basal ganglia
Topic based language models for ad hoc information retrieval
Visual multi-target tracking by using modified Kohonen Neural Networks
TDA-Net:A novel attention-based model with temporal feature fusion for Motor Imagery Classification
Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution
GEAE: Gated Enhanced Autoencoder based Feature Extraction and Clustering for Customer Segmentation
An integrate and fire model of prefrontal cortex provides a biological implementation of action selection in reinforcement learning theory that reuses known representations
Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms
Online Continual Reinforcement Learning-Based Optimal Output Tracking Control of Nonlinear Systems Using a Multilayer Observer
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting
ASTEN: An accurate and scalable approach to Coupled Tensor Factorization
Building an Efficient Retrieval-based Dialogue System with Contrastive Learning
Detecting anomalous structures by convolutional sparse models
A Computational Intelligence Strategy for Software Complexity Prediction
Robust optimal neural control of robots
A spiking neural network alternative for the analog to digital converter
A Multi-Scale and Dual-Attention Enhanced TimesNet Model for Electricity Price Forecasting
Comparative study between Deep Face, Autoencoder and Traditional Machine Learning Techniques aiming at Biometric Facial Recognition
Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach
Meta-MSGAT: Meta Multi-scale Fused Graph Attention Network
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models
Manipulating the Bounding Box: Multimodal Controlled Backdoor Attacks on 3D Visual Grounding Models
Online Optimal Adaptive Control of a Class of Uncertain Nonlinear Discrete-time Systems
A trajectory-based approach for object detection from video
Classification of Power Quality Disturbances Using Convolutional Network and Long Short-Term Memory Network
Self-organizing documentary maps for information retrieval
Trust-No-Pixel: A Remarkably Simple Defense against Adversarial Attacks Based on Massive Inpainting
Encoding symbolic sequences with spiking neural reservoirs
Accelerating Unbalanced Optimal Transport Problem Using Dynamic Penalty Updating
Evolving Neural Network Structures Using Axonal Growth Mechanisms
Overfitting and Neural Networks: Conjugate Gradient and Backpropagation
Referenceless User Controllable Semantic Image Synthesis
Training Recurrent Neural Network on Distributed Representation Space for Session-based Recommendation
An adaptive detection of anomalies in user's behavior
Crowdsourcing of network data
A statistical approach to reduce failure facilities based on predictive maintenance
Continuous material identification through tactile sensing
Learning Filterbanks from Raw Waveform for Accent Classification
Implementation of minimum error expert system
Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity
From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA
The α-EM learning and its cookbook: from mixture-of-expert neural networks to movie random field
Detecting salient contours using orientation energy distribution
Methuselah networks and optimal control
On Sequential Maximum a Posteriori Inference for Continual Learning
A performance comparison of TRACA - an incremental on-line learning algorithm
Decoupled Extractive Summarization as Graph Nodes Pruning
A ridgelet kernel approach for regression using particle swarm optimization algorithm
Coordinate Attention Based 3D-CNN Using Ghost Multi-Scale for Diagnosing Alzheimer's Disease
Modeling Edge Features with Deep Bayesian Graph Networks
Diversity exploration and negative correlation learning on imbalanced data sets
Two-layer Mixture of Factor Analyzers with Joint Factor Loading
GPU facilitated unsupervised visual feature acquisition in spiking neural networks
Constructing minimum volume surfaces using level set methods for novelty detection
Spiking-Neural-Network Based Fugl-Meyer Hand Gesture Recognition For Wearable Hand Rehabilitation Robot
Specific Emitter Identification Based on Self-supervised Learning
Robust output tracking CMAC control: the T-S fuzzy model-based approach
Resource Allocation for V2V Communications Using Multi-Agent Reinforcement Learning
Human and robotics hands grasping danger
Combining evolving neural network classifiers using bagging
Robotic implementation of classical and Operant Conditioning as a single STDP learning process
Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming
Explaining Random Forests as Single Decision Trees through Distance Functional Optimization
Multiple-Valued Artificial Neural Networks
Improving Discrete Latent Representations With Differentiable Approximation Bridges
Adaptive feature mapping for underwater target classification
LOVD: Open-Vocabulary Object Detection Based on LLM-Enhanced Agents
Irregularity detection on low tension electric installations by neural network ensembles
Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation
Hopf-Hopf Bifurcation and Chaos in A Ring Neural Oscillator due to A Single Shortcut
Stereo Matching Method with Integrated Geometric Encoding for Disparity Refinement
Direct-Modelling in Nuclear Fusion by Combining Data-Integration and Physics-Informed Neural Networks
Decentralized control of large scale interconnected systems using adaptive neural network-based dynamic surface control
Lighting Direction Estimation of a Shaded Image by a Surface-input Regression Network
Violence Detection and Recognition from Diverse Video Sources
S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
Methods to Design Robust Controllers against Nonlinear and Multiple Uncertainties by Use of Neural Networks
An Application of Spike-Timing-Dependent Plasticity to Readout Circuit for Liquid State Machine
Image enlargement as an edge estimation
A hybrid approach for image half-toning combining simulated annealing and neural networks based techniques: implementation on a zero instruction set computer based neural machine
Cognitive domain ontologies on the TrueNorth neurosynaptic system
Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model
A weighting approach for autoassociative memories to improve accuracy in memorization
Discriminative feature extraction with Deep Neural Networks
PointDico: Contrastive 3D Representation Learning Guided by Diffusion Models
KneeMamba: A Multi-level Feature Extraction Model for Knee MRI Assisted Diagnosis with Mamba
Dual-network memory model using a chaotic neural network
Efficient off-line feature selection strategies for on-line classifier systems
Network Mechanism Supporting Long-Distance-Dependencies
Training deep neural networks on imbalanced data sets
A coarse-to-fine feature selection method for accurate detection of cerebral small vessel disease
An Active Learning Framework for Continuous Rapid Rumor Detection in Evolving Social Media
Faster reinforcement learning after pretraining deep networks to predict state dynamics
A survey of artificial neural networks based fault detection and fault diagnosis techniques
Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines
Region-DH: Region-based Deep Hashing for Multi-Instance Aware Image Retrieval
Topological analysis of infinite learning automata I: classification of neural network behavior
HyLiteNet: A Lightweight Hybrid Network for Single Image Super-Resolution
Echo state networks, artificial neural networks and fuzzy systems models for improve short-term wind speed forecasting
Sensorimotor in Space and Time: Audition
CL2OD: Class-Incremental Continual Learning for Outdoor 3D Object Detection in Autonomous Driving
Spacecraft coordination control in 6DOF based on Neural Network
Short-Term Fourier Transform as Preprocessing for Common Spatial Pattern
Hierarchical classification of Gene Ontology-based protein functions with neural networks
Learning on the compact Stiefel manifold by a cayley-transform-based pseudo-retraction map
Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm
Synchronized subthreshold oscillations and phase coding in a network model of the entorhinal cortex
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting
Fusion of Attention-Based Cascaded CNN and Label Dependency-Based GCN for Multi-label Scene Classification of Mining Land
Quantitatively modeling multiple phase transformations in metals using generalized Hopfield nets
VLSI image processor using analog programmable synapses and neurons
Deep learning to classify difference image for image change detection
PD-YOLOv11s: An End-to-End Paper Surface Detection for Specific Visible Angle Defect
Fast k-Fuzzy-Rough Cognitive Networks
Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments
SVM with entropy regularization and particle swarm optimization for identifying children's health and socioeconomic determinants of education attainments using linked datasets
Modeling Global Semantics for Question Answering over Knowledge Bases
Unsupervised Product Title Optimization Based on Search Behavior Knowledge in E-commerce
Sparse tensor discriminative locality alignment for gait recognition
Interval-valued symbolic representation based method for off-line signature verification
Seq-DNC-seq: Context Aware Dialog Generation System Through External Memory
GANemotion: Increase Vitality of Characters in Videos by Generative Adversary Networks
Bias-Variance Analysis of Multi-Step Loss Functions for Dynamical System Identification
Inconsistent sensor data detection/correction: Application to environmental systems
Transfer learning for image classification with incomplete multiple sources
Fast text categorization with min-max modular support vector machines
Correcting Factuality Hallucination in Complaint Large Language Model via Entity-Augmented
Detection of non-stationarities in functional MRI data sets using the multilevel hypermap architecture
Data visualization methodologies for data mining systems in bioinformatics
TActiLE: Tiny Active LEarning for wearable devices
Bias Learning, Knowledge Sharing
A Kaiman filter-based actor-critic learning approach
Blind source separation and bearing estimation using Fourier- and wavelet-based spectrally condensed data and artificial neural networks for indoor environments
App Recommendation Model Based on Heterogeneous Graph Collaborative Filtering
Robotic Architecture Inspired on Behavior Analysis
Detection of signaling pathways in human brain during arousal of specific emotion
Multimodal Feature Enhancement Plugin for Action Recognition
Neural image thresholding with SIFT-Controlled gabor features
An Adaptive Multi-Indicator Contrastive Predictive Coding Framework for Patient Representation Learning
Ensemble learning for keyword extraction from event descriptions
Adding Explainability to Visual Clustering Tendency Assessment (VAT) Methods Through Feature Importance
Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement Learning
Intelligent fuzzy wavelet system for electronic parts appearance quality prediction
An exploratory analysis targeting diagnostic classification of AAC app usage patterns
Genetic algorithm-based variable translation wavelet neural network and its application
A distributed virtual sensor scheme for smart buildings based on adaptive approximation
Enhanced Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots
SwinFusion-XL: Multi-Scale Fusion and Cross xLSTM for Enhanced Brain Tumor Segmentation
Noise resistance and enhancement of neural performance by using spike signals
Design of Automated Construction System for Modular Structures based on Parameterized Learning Automata
CSELT Hybrid HMM/Neural Networks Technology for Continuous Speech Recognition
G-YOLOv5: A Face Mask Detector That Balances Effectiveness and Real-Time
An Unsupervised Learning Rule for the Pulsed Neuron Model: The Vector Quantization of the Auditory Temporal Signals
Gradient Sign Inversion: Making an Adversarial Attack a Good Defense
Maximizing memory capacity of echo state networks with orthogonalized reservoirs
Monte Carlo Dropout Ensembles for Robust Illumination Estimation
Block kernel Nonnegative Matrix Factorization and its application to Face Recognition
Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning
Benchmarking a coevolutionary streaming classifier under the individual household electric power consumption dataset
Semantic Information Reasoning and Multi-Step Cross-Modal Interaction Network for Image-Text Retrieval
Neural fields for complex behavior generation on autonomous robots
Tree structures with attentive objects for image classification using a neural network
Mathematical underpinning of adaptive capability of recurrent neural network with fixed weights
Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario
Improving gradient-based learning algorithms for large scale feedforward networks
A class of discrete-time recurrent neural networks with multivalued neurons
Synchronization of complex networks in discrete-time for trajectory tracking using neural sliding modes with pinning control
Online adaptation in autonomous robots by using proprioceptive feedback
A role of total margin in support vector machines
2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018
Spoof Face Detection Via Semi-Supervised Adversarial Training
Evaluating Explanations of Convolutional Neural Network Image Classifications
Fast Modifications of the SpikeProp Algorithm
Vector-neuron models of associative memory
Reinforced Sample Re-weighting for Pedestrian Attribute Recognition
Finding Phylogenetically Informative Genes by Estimating Multispecies Gene Entropy
Cognitive Support in Aviation Operations Utilizing Multimodal Large Language Models
Ensemble neural network rule extraction using Re-RX algorithm
Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain
CPLCS: Contrastive Prompt Learning-based Code Search with Cross-modal Interaction Mechanism
DiffAct: A Unifying Framework for Activation Functions
Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval
Stock market's price movement prediction with LSTM neural networks
PCA feature extraction for protein structure prediction
Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense
Real-time Surveillance Video Salient Object Detection Using Collaborative Cloud-Edge Deep Reinforcement Learning
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series
MIND: A Unified Multi-Modal Context-Knowledge Model for Task-Oriented Dialogue
A Multi-Person Motion Prediction Method Based on Multi-Angle Coding of Joint-Relation for Intangible Cultural Heritage Dance Videos
A new design method for complex-valued multistate hopfield associative memory
Encoding of Probabilistic Automata into RAM-Based Neural Networks
On use of different feature sets for pattern classification: an alternative method
From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation
Transductive confidence machine for active learning
Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads
Quality preserved data summarization for fast hierarchical clustering
Unconstrained transductive Support Vector Machines and its application
Single- and multi-objective particle swarm optimization of reservoir structure in Echo State Network
Relative Robustness of Quantized Neural Networks Against Adversarial Attacks
Future Predictive Success-or-Failure Classification for Long-Horizon Robotic Tasks
A Medical Low-Back Pain Physical Rehabilitation Database for Human Body Movement Analysis
Benchmarking Sentence Embeddings in Textual Stream Clustering with Applications to Campaign Detection
Convolutional Neural Networks and Support Vector Machines for Five-Year Survival Analysis of Metastatic Rectal Cancer
Decoding of finger activation from ECoG data: a comparative study
Contextual Pooling for Multiple-Instance Learning-based Non-Intrusive Load Monitoring
Programming a VG-RAM based Neural Network Computer
A Modular Framework to Predict Alzheimer's Disease Progression Using Conditional Generative Adversarial Networks
CPMF: A collective pairwise matrix factorization model for upcoming event recommendation
A Neuro-Immune Network for Solving the Traveling Salesman Problem
FLinear : A Lightweight Model for Multivariate Time Series Forecasting with Multi-feature Decomposition
Dimensionality reduction by self organizing maps that preserve distances in output space
Optimizing Enhanced Cost Per Click via Reinforcement Learning Without Exploration
Fully Convolutional Network for Removing DCT Artefacts From Images
PMM: Post-Min-Max Augmentation for Semantic Segmentation of Underground Parking Lots
Dynamic cortical cooperation related to visual perception
Extracting discriminative features for identifying abnormal sequences in one-class mode
A novel approach for training small-sized multilayer perceptrons
Modeling populations of spiking neurons for fine timing sound localization
A cascade of linguistic CMAC neural networks for decision making
BCLD-YOLOv11: An Adaptive Channel Attention and Cross-Scale Feature Fusion-based Method for Real-time Pedestrian Detection in Crowded Scenes
Practical stochastic separation theorems for product distributions
Selective Adversarial Adaptation Learning via Exclusive Regularization for Partial Domain Adaptation
MDLDA: A New Multi-Dimension Topic Approach
Combining feature ranking algorithms through rank aggregation
Validation of matching
An on-line ICA-mixture-model-based fuzzy neural network
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer
Dynamic Powerlines Detection for UAVs by Attention Fused Looming Detector
Neurorobotic simulations on the degradation of multiple column liquid state machines
Classification of Cyberbullying Text in Arabic
Hidden-Markov model based sequential clustering for autonomous diagnostics
Comparison of Artificial Neural Network and Regression Models in Software Effort Estimation
A generative model with hypergraph regularizers for protein function prediction
Robust feedback error learning method for controller design of nonlinear systems
A Functional Link Network With Ordered Basis Functions
Incremental Adaptive EEG Classification of Motor Imagery-based BCI
Hippocampal and prefrontal cortical mechanisms for goal-directed and memory-guided behavior
Robust locally linear embedding using penalty functions
Uncertainty propagation for quality assurance in Reinforcement Learning
Towards optical flow-based robotic homing
M-SAT: Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Actions
Clinical trajectories estimated from bulk tumoral molecular profiles using elastic principal trees
Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings
Improving Stock Trend Prediction with Multi-granularity Denoising Contrastive Learning
Distributed spectral clustering based on Euclidean distance matrix completion
DNN-based Acoustic-to-Articulatory Inversion using Ultrasound Tongue Imaging
Structure Analysis of a Probabilistic Network in an Information Geometric Framework
Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies
One-shot learning in the road sign problem
ECG signal classification using block-based neural networks
ARO: A Neural Network to Investigate a Time-Delayed Imposed Organization on First-Order and Second-Order Visual Stimuli at the Early Vision
G2S: A Greedy Node Swapping Algorithm to Compute Upper Bound Graph Edit Distance
A quantum calculus formulation of dynamic programming and ordered derivatives
SoCDev: SoC Design Automation through TCL Code Generation via LLM-Based Agents
Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer
Adaptive weighting of pattern features during learning
Connecting deep neural networks with symbolic knowledge
Redundancy-Constrained feature selection with radial basis function networks
On the selection of decision trees in Random Forests
Analysis of a plurality voting-based combination of classifiers
SupGATE: Supervised Contrastive Learning and Attention-Gated Multimodal Fusion for Emotion Recognition in Conversations
A expansible current-mode sorting integrated circuit for pattern recognition
Decomposing Source Codes by Program Slicing for Bug Localization