yusuke1997/dblp-id-title huggingface dataset:
INNES: An intelligent network penetration testing model based on deep reinforcement learning
Rethinking cross-domain semantic relation for few-shot image generation
A moving track data-based method for gathering behavior prediction at early stage
Expression invariant face recognition using semidecimated DWT, Patch-LDSMT, feature and score level fusion
Two top-k HUIM algorithms based on the particle filter theory
Sparse and regression learning of large-scale fuzzy cognitive maps based on adaptive loss function
Temporal-visual proposal graph network for temporal action detection
A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis
Multivariate time series anomaly detection via dynamic graph attention network and Informer
Multi-agent plan based information gathering
Decision-level information fusion powered human pose estimation
S3D-CNN: skeleton-based 3D consecutive-low-pooling neural network for fall detection
Multimodal fusion for alzheimer's disease recognition
Multi-search differential evolution algorithm
CDGAT: a graph attention network method for credit card defaulters prediction
A user-knowledge dynamic pattern matching process and optimization strategy based on the expert knowledge recommendation system
E-GAIL: efficient GAIL through including negative corruption and long-term rewards for robotic manipulations
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
Multi-view prototype balance and temporary proxy constraint for exemplar-free class-incremental learning
Few-shot relation classification based on the BERT model, hybrid attention and fusion networks
A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions
An elite-guided hierarchical differential evolution algorithm
Multi-stream adaptive 3D attention graph convolution network for skeleton-based action recognition
Semantic-spatial guided context propagation network for camouflaged object detection
Improved PLSOM algorithm
An efficient forecasting model based on an improved fuzzy time series and a modified group search optimizer
FeMIP: detector-free feature matching for multimodal images with policy gradient
A large-scale distributed framework for information retrieval in large dynamic search spaces
A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments
Leveraging CQT-VMD and pre-trained AlexNet architecture for accurate pulmonary disease classification from lung sound signals
Semi-supervised sparse representation collaborative clustering of incomplete data
SPL-LDP: a label distribution propagation method for semi-supervised partial label learning
Capturing spatio-temporal patterns of falls individuals using efficient graph convolutional network model
Fusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement
A novel individual-relational consistency for bad semi-supervised generative adversarial networks (IRC-BSGAN) in image classification and synthesis
Competitive search algorithm: a new method for stochastic optimization
An improved Henry gas solubility optimization for optimization tasks
TransSSVs: a Transformer-based deep learning model for accurate detection of somatic small variants in paired tumor and normal sequencing data
Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting
A large-scale group decision making method to select the ideal mobile health application for the hospital
Methods of managing the evolution of ontologies and their alignments
Efficient micro immune optimization approach solving constrained nonlinear interval number programming
Imbalanced data classification based on improved EIWAPSO-AdaBoost-C ensemble algorithm
Automated network troubleshooting knowledge acquisition
Channel pruning guided by global channel relation
Heterogeneous ensemble algorithms for function optimization
Multi-scale variable precision covering rough sets and its applications
Discriminative feature extraction for video person re-identification via multi-task network
TableGPT: a novel table understanding method based on table recognition and large language model collaborative enhancement
Transform networks for cooperative multi-agent deep reinforcement learning
A learning search algorithm with propagational reinforcement learning
Meetings scheduling solver enhancement with local consistency reinforcement
Skeleton-based action recognition with multi-stream, multi-scale dilated spatial-temporal graph convolution network
Discover unknown fault categories through active query evidence model
High-efficiency online planning using composite bounds search under partial observation
Siamese conditional generative adversarial network for multi-focus image fusion
Weighted multi-view co-clustering (WMVCC) for sparse data
Real-time task scheduling strategy for 3D printing cloud platforms in health scenes
Graph neural network with feature enhancement of isolated marginal groups
Experimenting with a Temporal Constraint Propagation Algorithm
Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection
Single document text summarization addressed with a cat swarm optimization approach
A human resource allocation method for business processes using team faultlines
Network link prediction based on direct optimization of area under curve
Embedding residuals in graph-based solutions: the E-ResSAGE and E-ResGAT algorithms. A case study in intrusion detection
An efficient approach for finding weighted sequential patterns from sequence databases
Complex-valued Deng entropy
A similarity-based method for remaining useful life prediction based on operational reliability
Surrogate model assisted cooperative coevolution for large scale optimization
A robust spatial-temporal correlation filter tracker for efficient UAV visual tracking
Blossom: Boosting sparse attribute learning with optimized vector quantization for graph representation learning
A bi-layer decomposition algorithm for many-objective optimization problems
Time-interval process model discovery and validation - a genetic process mining approach
Variable selection for linear regression in large databases: exact methods
An adaptive enhancement algorithm based on visual saliency for low illumination images
Parallel social behavior-based algorithm for identification of influential users in social network
Dual-layer contrastive learning for aspect-aligned multimodal sentiment analysis
Learning on heterogeneous graph neural networks with consistency-based augmentation
Identifying ground truth in opinion spam: an empirical survey based on review psychology
Class-aware edge-assisted lightweight semantic segmentation network for power transmission line inspection
ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring
A water quality prediction method based on k-nearest-neighbor probability rough sets and PSO-LSTM
Improving the exploration efficiency of DQNs via the confidence bound methods
A generalized thresholding algorithm with dimension reduction for device-free localization in IoT
A generalized nonconvex algorithm framework for low-rank and sparse matrix decomposition
PIGPVAE: physics-informed gaussian process variational autoencoders
DABC-Net: a hierarchical deformation feature aggregation network with boundary-aware supervision for cardiac structure segmentation
Guest Editorial for Special Issue on Creative Evolutionary Systems
Deep subspace clustering via latent representation learning
An effective operations permutation-based discrete harmony search approach for the flexible job shop scheduling problem with makespan criterion
A lightweight hierarchical graph convolutional model for knowledge graph representation learning
Multi-agent collaborative control parameter prediction for intelligent precision loading
Lie group manifold analysis: an unsupervised domain adaptation approach for image classification
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Source-free domain adaptation with aligned transfer and self-supervised learning
A two-phase filtering of discriminative shapelets learning for time series classification
Discovery of closed high utility itemsets using a fast nature-inspired ant colony algorithm
Progressive image compression for Gaussian mixture model quartile intervals
A hierarchical parallel genetic approach for the graph coloring problem
A DES-based group decision model for group decision making with large-scale alternatives
Towards evolving software recommendation with time-sliced social and behavioral information
Context-Centric Needs Anticipation Using Information Needs Graphs
An Adaptive, Intelligent Control System for Slag Foaming
Detecting unusual input to neural networks
Global reference attention network for vehicle re-identification
FTCF: Full temporal cross fusion network for violence detection in videos
Masked face recognition with convolutional neural networks and local binary patterns
Multiobjective energy efficient street lighting framework: A data analysis approach
Challenging situations for background subtraction algorithms
Skill based transfer learning with domain adaptation for continuous reinforcement learning domains
Adaptive Aircraft Flight Control Simulation Based on an Artificial Immune System
Semi-supervised nonnegative matrix factorization with positive and negative label propagations
Camouflaged object detection based on context-aware and boundary refinement
TIRNet: Object detection in thermal infrared images for autonomous driving
Generating crisp boundaries using multi-scale features and mixed loss function
Efficient high utility itemsets mining over data streams with compact utility list structure
Graph augmented sequence-to-sequence model for neural question generation
A clustering-based active learning method to query informative and representative samples
Cost-sensitive SVDD models based on a sample selection approach
Fairness-aware fake news mitigation using counter information propagation
Few-shot segmentation combined with domain adaptation: a flexible paradigm for parsing astronaut work environments
Multiobjective fuzzy clustering with multiple spatial information for Noisy color image segmentation
Introducing reasoning into an industrial knowledge management tool
Deep spatial-temporal networks for crowd flows prediction by dilated convolutions and region-shifting attention mechanism
A Case-Based Framework for Interactive Capture and Reuse of Design Knowledge
Semi-Markov conditional random fields for accelerometer-based activity recognition
A systematic overview of developments in differential evolution and particle swarm optimization with their advanced suggestion
Do whatever works: A robust approach to fault-tolerant autonomous control
Parallel heuristic local search algorithm on OTIS hyper hexa-cell and OTIS mesh of trees optoelectronic architectures
Audio-visual speech synthesis using vision transformer-enhanced autoencoders with ensemble of loss functions
A robust learning algorithm based on support vector regression and robust fuzzy cerebellar model articulation controller
Data depth based support vector machines for predicting corporate bankruptcy
ResU-KAN: a medical image segmentation model integrating residual convolutional attention and atrous spatial pyramid pooling
Potential of quantum computing to effectively comprehend the complexity of brain
Graph-structure based multi-label prediction and classification for unsupervised person re-identification
A holistic approach for improving milling machine cutting tool wear prediction
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms
TriView-ParNet: parallel network for hybrid recognition of touching printed and handwritten strings based on feature fusion and three-view co-training
Enhanced VAEGAN: a zero-shot image classification method
A Connectionist Approach for Solving Large Constraint Satisfaction Problems
Trajectory prediction of flying vehicles based on deep learning methods
Few-shot fault diagnosis of rolling bearing under variable conditions based on deep meta-transfer learning
TCLN: A Transformer-based Conv-LSTM network for multivariate time series forecasting
Neural Networks and Machine Learning for Natural Language Processing - Introduction
Attention-guided salient object detection using autoencoder regularization
DcaNAS: efficient convolutional network Design for Desktop CPU platforms
Bunet: An effective and efficient segmentation method based on bilateral encoder-decoder structure for rapid detection of apple tree branches
Learning cascade regression for super-resolution image quality assessment
Adaptive robust cost-sensitive online classification algorithm for class-imbalanced datasets
A new QoC parameter and corresponding context inconsistency elimination algorithms for sensed contexts and non-sensed contexts
SAE-GAN: integrating stacked attention autoencoder and generative adversarial networks for multivariate time series anomaly detection
Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation
Feature subset selection based on fuzzy entropy measures for handling classification problems
Towards Combinatorial Analysis, Adaptation, and Planning of Human-Computer Systems
Vulnerability severity prediction and risk metric modeling for software
A novel data-driven model for explainable hog price forecasting
A pattern recognition based intelligent search method and two assignment problem case studies
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
Attack-less adversarial training for a robust adversarial defense
Correlation-based feature partition regression method for unsupervised anomaly detection
A multi-objective evolutionary approach for the nonlinear scale-free level problem
An adaptive dynamic multi-objective evolutionary algorithm using two-stage correlation-based decision variable analysis
A novel multiobjective particle swarm optimization algorithm for signed network community detection
CMA evolution strategy assisted by kriging model and approximate ranking
Olfactory perception prediction model inspired by olfactory lateral inhibition and deep feature combination
SOCP approach to robust twin parametric margin support vector machine
An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant
Federated few-shot learning for cough classification with edge devices
A relativistic temporal algebra for efficient design of distributed systems
An efficient data evacuation strategy using multi-objective reinforcement learning
SAPTSTA-AnoECG: a PatchTST-based ECG anomaly detection method with subtractive attention and data augmentation
Qualitative probabilistic networks with reduced ambiguities
Attention-based fusion factor in FPN for object detection
A semantic visual SLAM towards object selection and tracking optimization
Active contours driven by non-local Gaussian distribution fitting energy for image segmentation
Energy efficiency-driven mobile base station deployment strategy for shopping malls using modified improved differential evolution algorithm
Psychological model of particle swarm optimization based multiple emotions
An instance-based learning approach based on grey relational structure
High-confidence alignment and clustering for multi-view clustering
Multiobjective optimal control for wastewater treatment process using adaptive MOEA/D
Supervised ranking framework for relationship prediction in heterogeneous information networks
Out-of-distribution detection using normalizing flows on the data manifold
GPSP-CLIP: learning generic pseudo-state prompts for flexible zero-shot anomaly detection
Sparse summary generation
A fault diagnosis method based on interpretable machine learning model and decision visualization for HVs
Network intrusion detection based on conditional wasserstein variational autoencoder with generative adversarial network and one-dimensional convolutional neural networks
A novel high-level target navigation pigeon-inspired optimization for global optimization problems
Diversified feature representation via deep auto-encoder ensemble through multiple activation functions
QLDT: adaptive Query Learning for HOI Detection via vision-language knowledge Transfer
A fuzzy group decision making model with trapezoidal fuzzy preference relations based on compatibility measure and COWGA operator
FBP-diffusion: diffusion model combining MobileViT and dynamic loss correction for facial beauty prediction
Guided autoencoder for dimensionality reduction of pedestrian features
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023
Amended harmony search algorithm with perturbation strategy for large-scale system reliability problems
ELITE: a novel approach of knowledge integration in pre-trained language models for text classification
The granulation attribute reduction of multi-label data
Alleviating over-smoothing via graph sparsification based on vertex feature similarity
EfficientPose: Scalable single-person pose estimation
LANDMARK: language-guided representation enhancement framework for scene graph generation
A method to determine basic probability assignment in the open world and its application in data fusion and classification
Improving vehicle detection accuracy in complex traffic scenes through context attention and multi-scale feature fusion module
A self-calibration algorithm for soil moisture sensors using deep learning
A spiderweb model for community detection in dynamic networks
Neural robust optimal tracking control for nonlinear state-constrained systems with input saturation and external disturbances
A convex Kullback-Leibler divergence and critical-descriptor prototypes for semi-supervised few-shot learning
Noise-adaptive synthetic oversampling technique
Mapping natural language procedures descriptions to linear temporal logic templates: an application in the surgical robotic domain
Contrast with major classifier vectors for federated medical relation extraction with heterogeneous label distribution
A recurrent TSK interval type-2 fuzzy neural networks control with online structure and parameter learning for mobile robot trajectory tracking
C 2 ShadowGAN: cycle-in-cycle generative adversarial network for shadow removal using unpaired data
Merging user social network into the random walk model for better group recommendation
Imperceptible and multi-channel backdoor attack
A self-organized model for the control, planning and learning of nonlinear multi-dimensional systems using a sensory feedback
A method of path planning for unmanned aerial vehicle based on the hybrid of selfish herd optimizer and particle swarm optimizer
Managing healthcare costs by peer-group modeling
A swarm intelligence approach for the colored traveling salesman problem
A complete framework for aspect-level and sentence-level sentiment analysis
Deep learning based-approach for quick response code verification
Faster learning by reduction of data access time
A CTR prediction model based on user interest via attention mechanism
Personalized recommendation system based on knowledge embedding and historical behavior
Axiom selection over large theory based on new first-order formula metrics
A case-based approach to heuristic planning
Iterative rating prediction for neighborhood-based collaborative filtering
Uncertainty measure for Atanassov's intuitionistic fuzzy sets
Multi-strategy brain storm optimization algorithm with dynamic parameters adjustment
Aggregation framework for TSK fuzzy and association rules: interpretability improvement on a traffic accidents case
A SHADE-based multimodal multi-objective evolutionary algorithm with fitness sharing
Educational knowledge graph based intelligent question answering for automatic control disciplines
Cognitive fuzzy preference relations and its applications in decision-making
Best-order crossover for permutation-based evolutionary algorithms
An improved firework algorithm for hardware/software partitioning
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization
Twin labeled LDA: a supervised topic model for document classification
New feature selection algorithms for no-reference image quality assessment
Decision making under measure-based granular uncertainty with intuitionistic fuzzy sets
Hierarchical attention network for multivariate time series long-term forecasting
Advanced prognostics techniques for machinery under time-varying operating conditions: a review
Multiple tangent space projection for motor imagery EEG classification
NLPA-AD: normal label propagation algorithm for zero-shot texture anomaly detection
Multiple Adaptive Agents for Tactical Driving
Answer set programming for non-stationary Markov decision processes
DISCONA: distributed sample compression for nearest neighbor algorithm
The mean-variance cardinality constrained portfolio optimization problem using a local search-based multi-objective evolutionary algorithm
Using parallel program specifications for reactive control of underwater vehicles
An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods
Cross-contextual stress prediction: Simple methodology for comparing features and sample domain adaptation techniques in vital sign analysis
Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval
Multivariate time series prediction of lane changing behavior using deep neural network
A maximum partial entropy-based method for multiple-instance concept learning
ERINet: efficient and robust identification network for image copy-move forgery detection and localization
Agent-oriented modeling of the dynamics of biological organisms
Gender biases in online communication: A case study of soccer
Introducing a framework and a decision protocol to calibrated recommender systems
Joint intent detection and slot filling using weighted finite state transducer and BERT
An effective heuristic algorithm for the maximum satisfiability problem
Learning visual-and-semantic knowledge embedding for zero-shot image classification
Student-t policy in reinforcement learning to acquire global optimum of robot control
FPANet: feature pyramid attention network for crowd counting
Feature selection using self-information uncertainty measures in neighborhood information systems
The application of SOFNN based on PSO-ILM algorithm in nonlinear system modeling
Kernelized multi-granulation fuzzy rough set over hybrid attribute decision system and application to stroke risk prediction
Robust fuzzy dual-local information clustering with kernel metric and quadratic surface prototype for image segmentation
Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification
TERMS: textual emotion recognition in multidimensional space
Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views
Explainable mutual fund recommendation system developed based on knowledge graph embeddings
Source identification of weak audio signals using attention based convolutional neural network
Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population
Multi-task learning based on geometric invariance discriminative features
The fuzzy inference system based on axiomatic fuzzy sets using overlap functions as aggregation operators and its approximation properties
A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification
Progressive residual networks for image super-resolution
Discrete particle swarm optimization algorithms for two variants of the static data segment location problem
A Variational Approach to Multi-Sensor Fusion of Images