yusuke1997/dblp-id-title huggingface dataset:
Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning
Hierarchical Distribution-Aware Network for Point Cloud Completion
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection
Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study
Machine Learning Classifiers for Symptom-Based Malaria Prediction
Performance of analog neural networks subject to drifting targets and noise
CAMVR: Context-Adaptive Multi-View Representation Learning for Dense Retrieval
Concept drift detection for online class imbalance learning
Towards Few-shot Image Captioning with Cycle-based Compositional Semantic Enhancement Framework
SQL Synthesis with Input-Output Example Based on Deep Learning
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding
Polynomial componentwise LS-SVM: Fast variable selection using low rank updates
OSDet: Towards Open-Set Object Detection
Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification
A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation
SCSNet: Semantic segmentation of carbon source and sink in remote sensing images based on multi-scale transformer and local feature fusion
On Post Selection Using Test Sets (PSUTS) in AI
MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines
Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks
Backpropagation-decorrelation: online recurrent learning with O(N) complexity
Robust feedback passivity via dynamic neural networks
A Non-Targeted Attack Approach for the Coarse Misclassification Problem
Nonlinearity Enhancement in Spin-Wave Reservoir Computing with the Utilization of Coexisting Magnetostatic Modes
Extreme Dimensionality Reduction for Network Attack Visualization with Autoencoders
Empirical approximation for Lyapunov functions with artificial neural nets
Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error
An efficient approach to engage neural net hardware to PC
Estimation of bone mineral density data using MoG neural networks
An algorithmic framework based on the binarization approach for supervised and semi-supervised multiclass problems
Efficient Gait Recognition via Spatial-Temporal Decoupled Network
Integrated gene expression analysis of multiple microarray data sets based on a normalization technique and on adaptive connectionist model
ECoGNet: an EEG-based Effective Connectivity Graph Neural Network for Brain Disorder Detection
Mutual Information Generation for Improving Generalization and Interpretation in Neural Networks
InTranCeNet: Interpretable and Lightweight Attention-Based Transformer Architecture for Cervical Cancer Diagnosis
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation
Adversarial Contrastive Training in Parameter Space for Improved Text Classification
Analysis of auditory fMRI recordings via ICA: a study on consistency
FDAFusion: A Joint Frequency Decomposition and Adaptive Fusion Network for Nighttime Infrared and Visible Image Fusion
Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming
Brazil's Bolsa Familia and young adult workers: A parallel RDD approach to large datasets
Canvas GAN: Bootstrapped Image-Conditional Models
Including Phenotype Information in Mutation to Evolve Artificial Neural Networks
SimCNet: Leveraging Similarity-Aware and Multi-Scale Features for Robust Cell Segmentation
An open-source framework for the interactive exploration of Big Data: Applications in understanding health care
A new visualization scheme for self-organizing neural networks
Informative Memory Mechanism for Enhancing Crisis Response in Large Language Models
A method for analysis and correction of cross-talk effects in pathway analysis
An Oscillatory Correlation Model of Human Motion Perception
Feature space transformation for transfer learning
Integrated learning of linear representations
Passivity and passification for a class of singularly perturbed nonlinear systems via neural networks
Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis
Incremental probabilistic classification vector machine with linear costs
Rectilinear floorplanning of FPGAs using Kohonen map
A soft Bayes perceptron
Three improved fuzzy lattice neurocomputing (FLN) classifiers
Conjugate descent for the SMO algorithm
Some stability properties of dynamic neural networks with different time-scales
Change detection in data streams through unsupervised learning
Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory
Linear dynamical based models for sequential domains
Exploring Sentence Embedding Structures for Semantic Relation Extraction
Domain-Aware Multiagent Reinforcement Learning in Navigation
Learning Representations using Spectral-Biased Random Walks on Graphs
Bias corrected regularization kernel network and its applications
t-Distributed stochastic neighbor embedding spectral clustering
Improvement of Efficiency in Evolutionary Pruning
Time-series Initialization and Conditioning for Video-agnostic Stabilization of Video Super-Resolution using Recurrent Networks
Cross-entropy approach to data visualization based on the neural gas network
Duration and Interval Hidden Markov Model for sequential data analysis
An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization
Exploring Large Language Models for Knowledge Graph Completion with Auto-Prompting
Uncovering Human Multimodal Activity Recognition with a Deep Learning Approach
Towards Best Practice in Explaining Neural Network Decisions with LRP
Colored noise in dynamic systems: unbiased modeling by constructive neural networks
FHAA-GCN: Feature Homogeneous Adaptive Aggregation Graph Convolutional Network for Alzheimer's Disease Prediction
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors
On support vector decision trees for database marketing
Cognitive models of the perception-action cycle: A view from the brain
A comparison between two interval arithmetic learning algorithms
A Model Based on Siamese Neural Network for Online Transaction Fraud Detection
SPAN: A Salient Patch-Clue Aware Network for Cross-Domain Face Anti-Spoofing
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm
Semi-supervised feature extraction with local temporal regularization for EEG classification
Dual Analog Focal Plane Sensors for Depth Perception
DRDF: A Deceptive Review Detection Framework of Combining Word-Level, Chunk-Level, And Sentence-Level Topic-Sentiment Models
Modular Multilayer Perceptron for WLAN Based Localization
Recurrent convolutional neural networks for object-class segmentation of RGB-D video
Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks
Fuzzy predictive models to help teachers in e-learning courses
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
Weight sharing on naive Bayes document model
BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising
Combat Misinformation: Dynamic User Credibility Prediction via State-Aware Neural Processes
MAFD-GCN: Multi-view Adaptive Frequency Dynamic Graph Convolutional Networks
Learning discriminative low-rank representation for image classification
Analysis on Characteristics of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction
Self-organizing neural models integrating rules and reinforcement learning
Neuro-visual control in the Quake II game engine
A Comparison of GANs-Based Approaches for Combustor System Fault Detection
Online-learned classifiers for robust multitarget tracking
SCANet: Multi-Channel Representation with Synthesis Convolution and Composite Attention for Malicious Network Traffic Detection
Driver Identification: a Time Series Classification Approach
The schizophrenic brain: A broken hermeneutic circle. Some new insights and results
R 2 FND: Reinforced Rationale Learning for Fake News Detection with LLMs
BCI-FES training system design and implementation for rehabilitation of stroke patients
Optimized YOLO11 for Accurate Wind Turbine Blade Defect Detection
A Semi-supervised Classification Using Gated Linear Model
Real-Time Battery Bank Charge-Discharge Using Neural Sliding Mode Control
A method of oscillatory trajectory generation using recurrent hybrid neural networks
A multi-objective ensemble method for online class imbalance learning
A novel homeostatic plasticity model realized by random fluctuations in excitatory synapses
The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems
PruNet: Class-Blind Pruning Method For Deep Neural Networks
Detection and identification of seismic P-Waves using Artificial Neural Networks
Half-precision Floating Point on Spiking Neural Networks Simulations in FPGA
Mineral potential mapping using feed-forward neural networks
Text Classification using Triplet Capsule Networks
Model predictive control by differential neural networks approach
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler
H∞ control of unknown discrete-time nonlinear systems with control constraints using adaptive dynamic programming
Specific humidity forecasting using recurrent Neural Network
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline
A recurrent neural network for sound-source motion tracking and prediction
Real-time occupancy estimation using environmental parameters
Exploring Topic Supervision with BERT for Text Matching
Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
Designing Beta Basis Function Neural Network for optimization using Artificial Bee Colony (ABC)
Neural Network Based Feedforward Adapter for Batch Process Control
Automatic segmentation of cervical vertebrae in X-ray images
Discrete-Time Lyapunov based Kinematic Control of Robot Manipulator using Actor-Critic Framework
Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM
Tackling the Imbalance for GNNs
Rethinking the Role of Structural Information: How It Enhances Code Representation Learning?
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection
Network Reconfiguration aware Peer-to-Peer Ancillary Energy Trading Under Uncertainties
Active learning in nonstationary environments
Leveraging deep visual features for content-based movie recommender systems
A Weighted Voting and Sequential Combination of Classifiers Scheme for Human Face Recognition
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
An homeostatic activity-dependent structural plasticity algorithm for richer input combination
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels
Recurrent Temporal Sparse Autoencoder for attention-based action recognition
Alzheimer's disease detection using a Projection Based Learning Meta-cognitive RBF Network
Short-term load forecasting using wavenet ensemble approaches
PP-YOLO-CS: A Novel Approach for Real-Time Fire and Smoke Detection in Industrial Park Environments
Pose estimator and tracker using temporal flow maps for limbs
A two-step cascade classification method
Graph-Based Multi-Camera Soccer Player Tracker
Leveraging In-and-Cross Project Pseudo-Summaries for Project-Specific Code Summarization
TracInAD: Measuring Influence for Anomaly Detection
Similarity clustering for data fusion in Wireless Sensor Networks using k-means
Multi-view Defense with Adversarial Autoencoders
Support vector self-organizing learning for imbalanced medical data
LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations
A Force Field Driven SOM for boundary detection
Multiagent team formation performed by operant learning: an animat approach
Energy-saving CNN with Clustering Channel Pruning
Ensemble classification based on correlation analysis for face recognition
FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation
Machine learning to predict extubation outcome in premature infants
Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks
Evolving granular neural network for semi-supervised data stream classification
Layer Flexible Adaptive Computation Time
A selective attention neural network for object recognition
CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective
On-Line Connectionist Q-Learning Produces Unreliable Performance with A Synonym Finding Task
Representing Temporal Dependencies in Smart Home Activity Recognition for Health Monitoring
Batch reinforcement learning on the industrial benchmark: First experiences
How Not to Evaluate a Developmental System
A neural architecture for grounded cognition: Representation, structure, dynamics and learning
Uncertainty-Aware Data Augmentation for Offline Reinforcement Learning
Reinforcement learning in multiresolution object recognition
Variable selection by rank-one updates for least squares support vector machines
Unsupervised feature learning classification using an extreme learning machine
Trouble condition sign discovery based on support vector machines for hydroelectric power plants
Face Recognition in Video Using a What-and-Where Fusion Neural Network
Absolute Human Pose Estimation with Depth Prediction Network
Effect of refractoriness on learning performance of a pattern sequence
Sequential neuron pruning algorithm for RBF network with guaranteed stability
Support vector machine-based classification of rock texture images aided by efficient feature selection
$(\alpha, \ \beta)$-AWCS: $(\alpha, \ \beta)$-Attributed Weighted Community Search on Bipartite Graphs
Deep Representation of Hierarchical Semantic Attributes for Zero-shot Learning
Towards a neural model of bonding in self-attachment
Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection
LLM Diagnostic Toolkit: Evaluating LLMs for Ethical Issues
Exploring quantization error to improve human action classification
Laplacian Regularized Subspace Learning for interactive image re-ranking
Discontinuous Parsimony Embedding Empowered Transformer for Shipping Market Forecasting
Recurrent neural network optimization for model predictive control
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix
Visualization and pattern discovery of social interactions and repost propagation in Sina Weibo
A new method for multiclass support vector machines
Dynamic-graph-based Unsupervised Domain Adaptation
Chaotic Searches and Stable Spatio-temporal Patterns as a Naturally Emergent Mixture in Networks of Spiking Neural Oscillators with Rich Dynamics
Contrastive Learning Method for Behavior Prediction and Sequential Recommendation based on Multi-Intention Disentanglement
Cultures of neurons on micro-electrode array and control of their axon growth in hybrid retinal implant
Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals
A new online fuzzy control scheme based on reference model
Sparse Gate for Differentiable Architecture Search
Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks
Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning
A2D2: A pre-event abrupt drift detection
A single layer recurrent neural network for pseudoconvex optimization subject to quasiconvex constraints
Vehicle-Arm Coordination-Based Active 3D Reconstruction using Deep Reinforcement Learning
Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning
Visual-to-Semantic Hashing for Zero Shot Learning
Parallel flow in Deep Predictive Coding Networks
Off-Policy Integral Reinforcement Learning for Semi-Global Constrained Output Regulation of Continuous-Time Linear Systems
Machine Learning Evaluating Evolutionary Fitness Depending on Initial Conditions
Cognitive learning and the multimodal memory game: Toward human-level machine learning
Node label matching improves classification performance in Deep Belief Networks
Interactions among embedded extensive networks under uncertainty
Local Neural Classifier for EEG-Based Recognition of Mental Tasks
Combining LISREL and Bayesian network to predict tourism loyalty
Extracting EEG rhythms using ICA-R
Towards A Novel Integrated Neuro-Cognitive Architecture (INCA)
A low-order model of biological neural networks for hierarchical or temporal pattern clustering, detection and recognition
Towards using Reservoir Computing Networks for noise-robust image recognition
Probing the architecture of the brain in experimentation with afterimages
Neural representation and learning for multi-view human action recognition
Metalearning to choose the level of analysis in nested data: A case study on error detection in foreign trade statistics
Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science
Analysis of various periodic orbits in simple dynamic binary neural networks
An analysis of diversity measures for the dynamic design of ensemble of classifiers
A Spatial-Temporal Interactive Graph Networks Fusion for Traffic Prediction
HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades
Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation
General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings
Aquila: An open-source GPU-accelerated toolkit for cognitive and neuro-robotics research
Gradient Rotation Unit for Non-I.I.D. Federated Learning
Octane Number Prediction in a Reforming Plant
Measuring Multivariate Divergences to Improve Neural Network Performances
Non-crossing quantile regressions by SVM
Fast Incremental Learning Algorithm using Evolutionary Logic Networks for Real-Value Inputs
Extending Interpolation Consistency Training for Unsupervised Domain Adaptation
CARE: Contextual Residual and soft Encoding Relation Extraction for clinical medicine
Computation Intelligence Tools for Modeling and Controlling Pharmacogenomic Systems: Genetic Programming and Neural Networks
The Evolution of Embedding Metadata in Blockchain Transactions
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming
Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations
Beyond Local Features: A Metadata-Driven Image Frequency Modulation Network for Skin Disease Classification
EPLQ-UIE: Enhancing Pseudo Label Quality for Semi-Supervised Underwater Image Enhancement
The emergence of verbs in an artificial life simulation
Automatic understanding of images: integrated syntactic and semantic analysis of music notation
Graph Echo State Networks
Clustering-enhanced PointCNN for Point Cloud Classification Learning
Multimodal Video Highlight Detection with Noise-Robust Learning
Terrain identification in grayscale images with recurrent neural networks
Learning of local predictable representations in partially learnable environments
Dual Frequency-based Temporal Sequential Recommendation
ContxE: Attention-based Context Aggregation for Temporal Knowledge Graph Completion
Asymmetric-margin support vector machines for lung tissue classification
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks
Simultaneous approach to fuzzy cluster, principal component and multiple regression analysis
ENSO Forecasting over Multiple Time Horizons Using ConvLSTM Network and Rolling Mechanism
Systematic rewiring in associative neural networks with small-world architecture
Indoor thermal comfort control through fuzzy logic PMV optimization
Reinforced Retrieval-Augmented Generation in Large Language Models
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay
Spiking Neural Network with Learnable Threshold for Event-based Classification and Object Detection
Hybrid Attention-based Transformer for Long-range Document Classification
Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis
Disentangling Specificity for Abstractive Multi-document Summarization
Incremental policy learning: an equilibrium selection algorithm for reinforcement learning agents with common interests
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Topic recommendation using Doc2Vec
Solving economic dispatch problem under valve- point loading effects and generation constrains using a multi-gradient PSO algorithm
Modeling Overlapping Execution/Observation Brain Pathways
Image-Based Real-Time Path Generation Using Deep Neural Networks
Novel approach toward medical signals classifier
Joint Modeling of Document and Label with Clause Interaction Hypergraph for ICD Medical Code Assignment
Unsupervised clustering of symbol strings
A novel neural approach to inverse problems with discontinuities (the GMR neural network)
How hierarchies of objects and constraints reduce complexity
DBNN, FDNN, Discriminative Learning, and Back-Propagation Neural Networks in DS/CDMA Systems
Automatic classification of human motions using Doppler radar
Investigation of Neural Networks Using Synapse Arrays Based on Gated Schottky Diodes
Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation
Mutual Information and Trajectory-Awared Reinforcement Learning for Multi-Agent Path Finding
Dual Variational Knowledge Attention for Class Incremental Vision Transformer
Evaluating rank-order code performance using a biologically-derived retinal model
A structural model to explain unfairness
Applying the canonical distributed Embodied Evolution algorithm in a collective indoor navigation task
Object View Prediction with Aleatoric Uncertainty for Robotic Grasping
H-GAN: the power of GANs in your Hands
Optimization and evaluation of deep architectures for ambient awareness on a sidewalk
Learning Intrinsic Symbolic Rewards in Reinforcement Learning
An Investigation of the environmental sustainability index in terms of its prediction and clustering capabilities
A Fuzzy Logic based Offloading System for Distributed Deep Learning in Wireless Sensor Networks
GS-SQL: Modeling Spatial Semantics in Spatial Text-to-SQL
Emergence of competitive control in a memristor-based neuromorphic circuit
Off-line Bangla signature verification: An empirical study
Local voting networks for human face recognition
A modified Wavelet-Common Spatial Pattern method for decoding hand movement directions in brain computer interfaces
Orthrus: A Bimodal Learning Architecture for Malware Classification
The Generation of Vestibular Nystagmus: A Neural Network Approach
Encoding Individual Activation and Collective Diffusion Capability for Influence Maximization
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder
Optimal Neural Control of A Two Stages Anaerobic Digestion Model for Biofuels Production
A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning
A multi-resolution-concentration based feature construction approach for spam filtering
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
Parallel Multidimensional Step search algorithm for epsilon-insensitive support vector regression in time series prediction
A new approach to hierarchical clustering for the analysis of genomic data
DANet: Direction-Aware Network via Vertical-Horizontal Attention Fusion for Medical Image Segmentation
YOLO-PDNet: Small Target Recognition Improvement for Remote Sensing Image Based on YOLOv8