yusuke1997/dblp-id-title huggingface dataset:
Intelligent fault diagnosis of automobile main reducer based onstacked convolutional auto-encoder and parallel attention-based convolutional blocks
Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes
Solution of reliable p-median problem with at-facility service using multi-start hyper-heuristic approaches
GFNet: gated fusion network for video saliency prediction
Detecting changing emotions in human speech by machine and humans
Deep facial spatiotemporal network for engagement prediction in online learning
Cooperative exploration based on supervisory control of multi-robot systems
Improving retail sales through unsupervised collective-contextual anomaly detection: a deep reconstruction autoencoder for network-wide sales analysis
Zero-shot object detection with contrastive semantic association network
SiamET: a Siamese based visual tracking network with enhanced templates
A novel gated dual convolutional neural network model with autoregressive method and attention mechanism for probabilistic load forecasting
Application of a hybrid improved sparrow search algorithm for the prediction and control of dissolved oxygen in the aquaculture industry
Intelligent scheduling with tabu search: An application to jobs with linear delay penalties and sequence-dependent setup costs and times
Problem decomposition in distributed problem-solving systems
Optimal tuning of FOPID controller for higher order process using hybrid approach
Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network
A survival ensemble of extreme learning machine
State-transition simulated annealing algorithm for constrained and unconstrained multi-objective optimization problems
Cost-sensitive hierarchical classification for imbalance classes
A new rational algorithm for view updating in relational databases
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics
Long short-term temporal fusion transformer for short-term forecasting of limit order book in China markets
Coordinate-based anchor-free module for object detection
Time-varying group formation tracking for nonlinear multi-agent systems under switching topologies
A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure
AFSAOCP: A novel artificial fish swarm optimization algorithm aided by ocean current power
Multi-scale feature aggregation network for Image super-resolution
Non-linear programming method for multi-criteria decision making problems under interval neutrosophic set environment
Harris hawks optimization algorithm based on elite fractional mutation for data clustering
Mining frequent weighted closed itemsets using the WN-list structure and an early pruning strategy
Graph attention information fusion for Siamese adaptive attention tracking
A heuristic algorithm for distributed control in manufacturing systems
Multimodal hybrid features in 3D ear recognition
Emotion recognition by global and local feature fusion for people with facial defects
Trajectory tracking control of discrete non-affine MIMO iterative systems with unknown models: a neural-network-based data-driven algorithm
Scratch-Rec: a novel Scratch recommendation approach adapting user preference and programming skill for enhancing learning to program
Personalized dialogue generation through knowledge expansion and in-context learning
A joint network of non-linear graph attention and temporal attraction force for geo-sensory time series prediction
A novel dual-level multi-source information fusion approach for multicriteria decision making applications
Integrating knowledge acquisition and language acquisition
Complement component face space for 3D face recognition from range images
A belief classification rule for imprecise data
MPF-FS: A multi-population framework based on multi-objective optimization algorithms for feature selection
Deep RGB-guided generative network for unsupervised hyperspectral image super-resolution
Mining top-k frequent patterns from uncertain databases
A novel path planning scheme based on Fast-IBi-RRT* algorithm for industrial robots
LMTformer: facial depression recognition with lightweight multi-scale transformer from videos
DWE-IL: a new incremental learning algorithm for non-stationary time series prediction via dynamically weighting ensemble learning
New approaches for mining high utility itemsets with multiple utility thresholds
Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study
Information block multi-head subspace based long short-term memory networks for sentiment analysis
COVID-19 cases prediction in multiple areas via shapelet learning
Applied Intelligence: Special Issue on Systems for Uncertain Reasoning
Introducing randomness into greedy ensemble pruning algorithms
HybridNet: Integrating GCN and CNN for skeleton-based action recognition
Discovery of urban functional regions based on Node2vec
Granular ball-based label enhancement for dimensionality reduction in multi-label data
Analysis of quantization effects on high-order function neural networks
A novel intelligent denoising method of ecg signals based on wavelet adaptive threshold and mathematical morphology
A multi-granularity facial extreme makeup transfer and removal model with local-global collaboration
DuAGNet: an unrestricted multimodal speech recognition framework using dual adaptive gating fusion
Computation and comparison of nonmonotonic skeptical inference relations induced by sets of ranking models for the realization of intelligent agents
A feature selection algorithm based on redundancy analysis and interaction weight
CSRP: Modeling class spatial relation with prototype network for novel class discovery
MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix
An evolutionary many-objective algorithm based on decomposition and hierarchical clustering selection
DPNet: domain-aware prototypical network for interdisciplinary few-shot relation classification
A novel activation function for multilayer feed-forward neural networks
Simultaneous fault prediction in evolving industrial environments with ensembles of Hoeffding adaptive trees
Robust low-rank representation with structured similarity learning for multi-label classification
Attention-based causal representation learning for out-of-distribution recommendation
Sentiment analysis based on clustering: a framework in improving accuracy and recognizing neutral opinions
Research on highway vehicle detection based on faster R-CNN and domain adaptation
Improving sample efficiency in Multi-Agent Actor-Critic methods
One-class ensemble classifier for data imbalance problems
Online transferable representation with heterogeneous sources
A new bio inspired technique based on octopods for spam filtering
Data Mining for Generating Predictive Models of Local Hydrology
Learner's cognitive state recognition based on multimodal physiological signal fusion
A rule-based heuristic algorithm for joint order batching and delivery planning of online retailers with multiple order pickers
Smooth momentum: improving lipschitzness in gradient descent
Adaptive neural output feedback control of automobile PEM fuel cell air-supply system with prescribed performance
Specification, analysis and simulation of the dynamics within an organisation
A fuzzy classification model for myocardial infarction risk assessment
Incremental feature selection approach to multi-dimensional variation based on matrix dominance conditional entropy for ordered data set
Full single-type deep learning models with multihead attention for speech enhancement
A novel hybrid multi-thread metaheuristic approach for fake news detection in social media
A hybrid adversarial training for deep learning model and denoising network resistant to adversarial examples
Knowledge representation for mathematical discovery: Three experiments in graph theory
Local community detection with hints
TextConvoNet: a convolutional neural network based architecture for text classification
Continual prune-and-select: class-incremental learning with specialized subnetworks
Toward imperceptible and robust image watermarking against screen-shooting with dense blocks and CBAM
An improved CapsNet applied to recognition of 3D vertebral images
Quality based adaptive score fusion approach for multimodal biometric system
Explaining predictions and attacks in federated learning via random forests
Learning opponent's beliefs via fuzzy constraint-directed approach to make effective agent negotiation
A new modeling and inference approach for the belief rule base with attribute reliability
Belief entropy rate: a method to measure the uncertainty of interval-valued stochastic processes
Fruit ripeness identification using transformers
Network rule extraction under the network formal context based on three-way decision
Modelling of Complete Robot Dynamics Based on a Multi-Dimensional, RBF-like Neural Architecture
Complete joint global and local collaborative marginal fisher analysis
Differential evolution with the mutation strategy transformation based on a quartile for numerical optimization
Correction to: Non-parallel text style transfer with domain adaptation and an attention model
Spatio-temporal stacking model for skeleton-based action recognition
Using ontology to guide reinforcement learning agents in unseen situations
HFPQ: deep neural network compression by hardware-friendly pruning-quantization
A prototype evolution network for relation extraction
Feature selection based on multi-perspective entropy of mixing uncertainty measure in variable-granularity rough set
Effectiveness of encoder-decoder deep learning approach for colorectal polyp segmentation in colonoscopy images
Enhancing graph representation learning via type-aware decoupling and node influence allocation
Seformer: a long sequence time-series forecasting model based on binary position encoding and information transfer regularization
Classifier subset selection based on classifier representation and clustering ensemble
Special issue on advances in applied artificial intelligence
UWFP-Outlier: an efficient frequent-pattern-based outlier detection method for uncertain weighted data streams
A many-objective evolutionary algorithm based on corner solution and cosine distance
Sequential multi-criteria feature selection algorithm based on agent genetic algorithm
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus
Structured block diagonal representation for subspace clustering
An improved ν-twin bounded support vector machine
Correction to: Dynamic preventive maintenance strategy for a heterogeneous multi-unit redundant system: A deep reinforcement learning approach with weighted network estimator
Outlier-eliminated k-means clustering algorithm based on differential privacy preservation
Learn structured analysis discriminative dictionary for multi-label classification
Learning heuristics for weighted CSPs through deep reinforcement learning
VIGCN: an isotropic natural image stitching network based on graph convolution
An effective multi-task learning model for end-to-end emotion-cause pair extraction
Model-based diagnosis with improved implicit hitting set dualization
Multi-perspective context aggregation for document-level relation extraction
Diagnosing crop diseases based on domain-adaptive pre-training BERT of electronic medical records
Symmetric perception and ordinal regression for detecting scoliosis natural image
Mining inter-sequence patterns with Itemset constraints
Design and analysis of a variable-parameter noise-tolerant ZNN for solving time-variant nonlinear equations and applications
Towards a software tool for general meal optimisation
Multi-characteristic reinforcement of horizontally integrated TENet based on wrist bone development criteria for pediatric bone age assessment
Scale fusion light CNN for hyperspectral face recognition with knowledge distillation and attention mechanism
Knowledge graph-based recommendation with knowledge noise reduction and data augmentation
A BERT-based review helpfulness prediction model utilizing consistency of ratings and texts
Robust dialog state tracker with contextual-feature augmentation
Deep graph clustering method with improved cluster structure feature learning
Contrastive learning with text augmentation for text classification
Learning to solve graph metric dimension problem based on graph contrastive learning
Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis
Enhancing robust node classification via information competition: An improved adversarial resilience method for graph attacks
Stock trend prediction based on industry relationships driven hypergraph attention networks
Logical characterization of groups of data: a comparative study
Motion detection and object tracking with discrete leaky integrate-and-fire neurons
MsDA: Multi-scale domain adaptation dehazing network
Learning to schedule dynamic job-shop problems by graph attention network with reinforcement learning
Reconstruction of gene regulatory networks with multi-objective particle swarm optimisers
Identifying bird species by their calls in Soundscapes
A lightweight convolutional swin transformer with cutmix augmentation and CBAM attention for compound emotion recognition
Unsupervised hash retrieval based on multiple similarity matrices and text self-attention mechanism
A multiagent brokering protocol for supporting Grid resource discovery
Individuality-enhanced and multi-granularity consistency-preserving graph neural network for semi-supervised node classification
A novel shot boundary detection system using hybrid optimization technique
Feasibility, planning and control of ground-wall transition for a suctorial hexapod robot
Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus
A Reluctance-Based Cost Distribution Strategy for Multiagent Planning
The synchronisation control of fractional 4-D quantum game chaotic map with its application in image encryption
mwKAT: A Meta-Tool-Generated Knowledge Acquisition Tool for Multimedia Workstations Development
Making platform recommendations more responsive to the expectations of different types of consumers: a recommendation method based on online reviews
Stream mining on univariate uncertain data
Adaptive spiking neuron with population coding for a residual spiking neural network
A hybrid extreme learning machine model with harris hawks optimisation algorithm: an optimised model for product demand forecasting applications
Solving time-delay issues in reinforcement learning via transformers
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata
Particle swarm optimization based parameter selection technique for unsupervised discriminant analysis in transfer learning framework
Feature selection using relative dependency complement mutual information in fitting fuzzy rough set model
Uncertainty measure in evidence theory with its applications
A variable neighborhood descent with ant colony optimization to solve a bilevel problem with station location and vehicle routing
Direct full quantification of the left ventricle via multitask regression and classification
Conditional and composite temporal CSPs
Topic-tracking-based dynamic user modeling with TV recommendation applications
Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning
RA-EPNet: A novel network fusing residual axial attention and edge prediction for medical image segmentation
Sparse least square twin support vector machine with adaptive norm
Correction to: Research on multi-source POI data fusion based on ontology and clustering algorithms
Unsupervised person reidentification via quantitative random selection for cluster centroid
A Genetic Algorithm for Vehicle Routing with Backhauling
State-based modelling in hazard identification
Reduced-order observer-based robust leader-following control of heterogeneous discrete-time multi-agent systems with system uncertainties
Multi-discriminator generative adversarial networks with dynamic penalty to over-sample imbalanced credit datasets
Residual learning of the dynamics model for feeding system modelling based on dynamic nonlinear correlate factor analysis
A hybrid clonal selection algorithm with modified combinatorial recombination and success-history based adaptive mutation for numerical optimization
Robustness comparison between the capsule network and the convolutional network for facial expression recognition
NNBSVR: Neural Network-Based Semantic Vector Representations of ICD-10 codes
Adaptive low-rank kernel block diagonal representation subspace clustering
Know-UCP: locally weighted linear regression based approach for UCP estimation
QuinNet: Quintuple u-shape networks for scale- and shape-variant lesion segmentation
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
Robust meter reading detection via differentiable binarization
Person re-identification method with Mahalanobis TRM triplet on multi-branch network
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Robust multi-objective visual bayesian personalized ranking for multimedia recommendation
Modeling topic evolution in public opinion events: an unsupervised spatio-temporal graph attention approach
Multi-view fusion neural networks for heterogeneous graph representation learning
A meta extreme learning machine method for forecasting financial time series
Lightning search algorithm: a comprehensive survey
An influence maximization algorithm based on low-dimensional representation learning
Dual-level interactive multimodal-mixup encoder for multi-modal neural machine translation
Gaussian process for predicting CPU utilization and its application to energy efficiency
A tractable multiple agents protocol and algorithm for resource allocation under price rigidities
Chaotic image encryption based on partial face recognition and DNA diffusion
A dissimilarity-based imbalance data classification algorithm
Remaining useful-life prediction of lithium battery based on neural-network ensemble via conditional variational autoencoder
A deep reinforcement learning model for traffic signal control with multi-expert participating in exploration
Solving the cooperative scheduling problem of muck transport under time-segment restriction in an entire region
Advanced defensive distillation with ensemble voting and noisy logits
Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions
A fast and accurate explicit kernel map
CAPPAD: a privacy-preservation solution for autonomous vehicles using SDN, differential privacy and data aggregation
Multiscale laplacian learning
Do news and sentiment play a role in stock price prediction?
Dual-view graph neural network with gating mechanism for entity alignment
NDAMM: a numerical differentiation-based artificial macrophage model for anomaly detection
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
A new mechanism of rule acquisition based on covering rough sets
Uncertainty measurement for a gene space based on class-consistent technology: an application in gene selection
BPSL: a new rumor source location algorithm based on the time-stamp back propagation in social networks
Tailoring a cognitive model for situation awareness using machine learning
A 3D efficient and essentialized swin transformer network for alzheimer's disease diagnosis
K-centroid link: a novel hierarchical clustering linkage method
Gated filter pruning via sample manifold relationships
FMC-Net: A Human-Guided Deep Learning Framework for Adaptable and Transparent Facial Expression Recognition in Real-World Scenarios
An Inverted Residual based Lightweight Network for Object Detection in Sweeping Robots
HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis
Incremental tree-based successive POI recommendation in location-based social networks
An optimized path planning approach for automatic parking using hybrid A* bidirectional search
Autoencoder-based unsupervised clustering and hashing
Adaptive Petri net based on irregular cellular learning automata with an application to vertex coloring problem
A heuristic and reliable track-to-track data association approach for multi-cell track reconstruction
Can neural networks estimate parameters in epidemiology models using real observed data?
Spatial graph attention network-based object tracking with adaptive cosine window
Personalized face-pose estimation network using incrementally updated face shape parameters
Maximizing a deep submodular function optimization with a weighted MAX-SAT problem for trajectory clustering and motion segmentation
A novel integrated large-scale group MCDM model under fuzzy environment for selection of reach stacker in a container terminal
Mining high utility itemsets by dynamically pruning the tree structure
Prediction of reservoir water levels via an improved attention mechanism based on CNN - LSTM
MAFA-net: pedestrian detection network based on multi-scale attention feature aggregation
Effective Query Size Estimation Using Neural Networks
Improving return using risk-return adjustment and incremental training in technical trading rules with GAPs
Reversible data hiding in encrypted images based on Lasso regression predictor and dynamic secret sharing
Neural cryptography using optimal structure of neural networks
A one-shot bargaining strategy for dealing with multifarious opponents
A general dynamic vision architecture for UGV and UAV
A group consensus reaching model balancing individual satisfaction and group fairness for distributed linguistic preference relations
Improving relation classification effectiveness by alternate distillation
Computer-controlled diabetes disease diagnosis technique based on fuzzy inference structure for insulin-dependent patients
A Knowledge-Level Model for Concurrent Design
Multi-agent neighborhood coordinated and holistic optimized actor-critic framework for adaptive traffic signal control
Fuzzy risk analysis using similarity measure of interval-valued fuzzy numbers and its application in poultry farming
Editor's Note: Forthcoming 30th Anniversary of Applied Intelligence
Extracting reduced logic programs from artificial neural networks
Hierarchical graph attention networks for semi-supervised node classification
Combining detailed appearance and multi-scale representation: a structure-context complementary network for human pose estimation
Global and session item graph neural network for session-based recommendation
Ground-based 4d trajectory prediction using bi-directional LSTM networks
DAM-SLAM: depth attention module in a semantic visual SLAM based on objects interaction for dynamic environments
A personalized counseling system using case-based reasoning with neural symbolic feature weighting (CANSY)
DeepSCNN: a simplicial convolutional neural network for deep learning
Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France
Semi-supervised learning for k-dependence Bayesian classifiers
MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network
Large language models for predicting perioperative sepsis
Ensemble deep neural network method for solving free boundary American style stochastic volatility models
Sample awareness-based personalized facial expression recognition
Reasoning about shadows in a mobile robot environment
Sentiment-based masked language modeling for improving sentence-level valence-arousal prediction
Solving multiobjective random interval programming problems by a capable neural network framework
Convolutional neural network acceleration with hardware/software co-design
Question answering system based on the combination of large language model and knowledge graph