yusuke1997/dblp-id-title huggingface dataset:
Online signature verification by spectrogram analysis
Room-level localization method in industrial workshops using LiDAR-based point cloud registration and object recognition
A framework to evaluate the barriers for adopting the internet of medical things using the extended generalized TODIM method under the hesitant fuzzy environment
Special issue on frontiers of applied intelligence
PTP-STGCN: Pedestrian Trajectory Prediction Based on a Spatio-temporal Graph Convolutional Neural Network
A data-efficient visual analytics method for human-centered diagnostic systems to endoscopic ultrasonography
Prototypical case mining from biomedical literature for bootstrapping a case base
An intelligent scheme for assigning queries
Scene text image super-resolution via textual reasoning and multiscale cross-convolution
GFENet: group-wise feature-enhanced network for steering angle prediction by fusing events and images
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters
Exploiting mobile contexts for Petri-net to generate a story in cartoons
Semi-supervised sparse subspace clustering with manifold regularization
A whitelist and blacklist-based co-evolutionary strategy for defensing against multifarious trust attacks
Text-dominant multimodal perception network for sentiment analysis based on cross-modal semantic enhancements
DiffMoment: an adaptive optimization technique for convolutional neural network
Siamese block attention network for online update object tracking
Sparse feature selection via local feature and high-order label correlation
A q-rung orthopair fuzzy MARCOS method using novel score function and its application to solid waste management
MIGA, A Software Tool for Nonlinear System Modelling with Modular Neural Networks
Trace ratio criterion for multi-view discriminant analysis
Bag of contour fragments for improvement of object segmentation
Case-Based Reasoning: Concepts, Features and Soft Computing
A study on novel filtering and relationship between input-features and target-vectors in a deep learning model for stock price prediction
Hybridformer: an efficient and robust new hybrid network for chip image segmentation
Large capacity generative image steganography via image style transfer and feature-wise deep fusion
Matching tasks to objectives: Fine-tuning and prompt-tuning strategies for encoder-decoder pre-trained language models
Dynamic pedestrian trajectory forecasting with LSTM-based Delaunay triangulation
OALDPC: oversampling approach based on local density peaks clustering for imbalanced classification
MODE: a multimodal open-domain dialogue dataset with explanation
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction
NL2SQL with partial missing metadata based on multi-view metadata graph compensation and reasoning
A visual state space Model-Based Cross-Domain adaptive detection method for imbalanced medical image distribution
A lightweight CNN-transformer model for learning traveling salesman problems
What is wrong with deep knowledge tracing? Attention-based knowledge tracing
A remaining useful life prediction method for rotating machinery based on trend encoding and multi-scale spatio-temporal feature fusion
Stratified and time-aware sampling based adaptive ensemble learning for streaming recommendations
Curriculum pre-training for stylized neural machine translation
Dynamic weighted ensemble classification for credit scoring using Markov Chain
EEG emotion recognition based on PLV-rich-club dynamic brain function network
The design of error-correcting output codes based deep forest for the micro-expression recognition
Predicting gas flow rates of wellhead chokes based on a cascade forwards neural network with a historically limited penetrable visibility graph
ULME-GAN: a generative adversarial network for micro-expression sequence generation
ISTGCN: Integrated spatio-temporal modeling for traffic prediction using traffic graph convolution network
Cure models to estimate time until hospitalization due to COVID-19
Esophagogastroscopy for predicting endoscopic ultrasonography T-stage by utilizing deep learning methods in esophageal cancer
Fairness consensus adjustment and bifocal expert weight integration in multi-attribute group decision-making with parallel expert evaluation systems
A dynamic stage-based fraud monitoring framework of multiple live auctions
MS-SSD: multi-scale single shot detector for ship detection in remote sensing images
Multi-query network learning for hoi detection via vision-language models
A density-grid-based method for clustering k-dimensional data
Multiple birth support vector machine based on recurrent neural networks
Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis
New attention strategy for negative sampling in knowledge graph embedding
Selective temporal filtering and its application to hand gesture recognition
A novel whale optimization algorithm of path planning strategy for mobile robots
Document segmentation using textural features summarization and feedforward neural network
Comparative study on ballistic impact detection in helicopter transmission shafts using NARX and LSTM models
Developing customer attrition management system: discovering action rules for making recommendations to retain customers
Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models
Joint modeling of user and item preferences with interaction frequency and attention for knowledge graph-based recommendation
Serial fuzzy system algorithm for predicting biological activity of anti-breast cancer compounds
Envelope multi-type transformation ensemble algorithm of Parkinson speech samples
Anti-interference of a small-world spiking neural network against pulse noise
Decentralized multi-task reinforcement learning policy gradient method with momentum over networks
Ship pipeline defect detection method based on deep learning and transfer fusion of ultrasonic guided wave signals
Multi-geometric block diagonal representation subspace clustering with low-rank kernel
Novel ensemble bagging-logistic regression algorithm for NoSQL database security
DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection
Triplet attention multiple spacetime-semantic graph convolutional network for skeleton-based action recognition
Modelling a Society of Simple Agents: From Conceptual Specification to Experimentation
A deep reinforcement learning approach and its application in multi-USV adversarial game simulation
Correction to: Enhancing attributed network embedding via enriched attribute representations
Two novel ELM-based stacking deep models focused on image recognition
A local search based restart evolutionary algorithm for finding triple product property triples
Semi-supervised sparse least squares support vector machine based on Mahalanobis distance
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
A dimensionality reduction approach for convolutional neural networks
Emotion-cause pair extraction via knowledge-driven multi-classification and graph-based position embedding
Incremental feature selection for large-scale hierarchical classification with the arrival of new samples
SEPAKE: a structure-enhanced and position-aware knowledge embedding framework for knowledge graph completion
EEG emotion recognition using multichannel weighted multiscale permutation entropy
Adversarial learning based intermediate feature refinement for semantic segmentation
Enhancement of kernel dependency estimation with information generalization and a case study on skewed data
Composite of adaptive support vector regression and nonlinear conditional heteroscedasticity tuned by quantum minimization for forecasts
Monte carlo tree search for dynamic bike repositioning in bike-sharing systems
SR-30 turbojet engine real-time sensor health monitoring using neural networks, and Bayesian belief networks
A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems
Transfer Naive Bayes algorithm with group probabilities
Multiobjective differential evolution using homeostasis based mutation for application in software cost estimation
A new comprehensive automatic fault detection method for rotating machinery using HmvAAPE and VNWOA-KELM
Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems
A two-stage cyberbullying detection based on multi-view features and decision fusion strategy
Balancing act: engagement detection in online learning through master-assistant models with an enhanced hierarchical attention mechanism
Community detection in social recommender systems: a survey
A scaled dirichlet-based predictive model for occupancy estimation in smart buildings
Constructive sample partition-based parameter-free sampling for class-overlapped imbalanced data classification
Steepest deep bipolar Cascade correlation for finger-vein verification
A multi-graph convolutional network based wearable human activity recognition method using multi-sensors
Parallel adaptive guidance network for image inpainting
Retraction Note: ICDN: integrating consistency and difference networks by transformer for multimodal sentiment analysis
A complex history browsing text categorization method with improved BERT embedding layer
On the Possibilistic-Based Decision Model: Characterization of Preference Relations Under Partial Inconsistency
Learning multi-temporal-scale deep information for action recognition
Improving human-robot interaction based on joint attention
MVSRF: Point cloud semantic segmentation and optimization method for granular construction objects
Improved generative adversarial imputation networks for missing data
A hybrid greedy indicator- and Pareto-based many-objective evolutionary algorithm
Large-scale UAV swarm confrontation based on hierarchical attention actor-critic algorithm
Differential evolution with dual-space-based population size adaptation and dynamic classification-based mutation strategy
Enhancing model learning in reinforcement learning through Q-function-guided trajectory alignment
A Neural Network Diagnosis Approach for Analog Circuits
An intelligent MIMO run-to-run controller for semiconductor manufacturing processes based on an enhanced twin-delayed deep deterministic policy gradient algorithm
Exploiting skew-adaptive delimitation mechanism for learning expressive classification rules
Adaptive graph contrastive learning for community detection
Maintaining the discovered high-utility itemsets with transaction modification
An original model for multi-target learning of logical rules for knowledge graph reasoning
A temporal defeasible logic for handling access control policies
Generating samples for covariance to update prototype in few-shot class-incremental learning
Domain adversarial-based multi-source deep transfer network for cross-production-line time series forecasting
Linear dynamical systems approach for human action recognition with dual-stream deep features
Underwater vision enhancement technologies: a comprehensive review, challenges, and recent trends
Multi-object tracking based on network flow model and ORB feature
Meta-heuristic algorithms for resource Management in Crisis Based on OWA approach
Sparse discriminative region selection algorithm for face recognition
Learning-based correspondence classifier with self-attention hierarchical network
A statistical categorization-based curriculum learning approach for multi-task classification of images
Data-driven models for electricity theft and anomalous power consumption detection: a systematic review
SVM ensemble training for imbalanced data classification using multi-objective optimization techniques
Flexible asymmetric convolutional attention network for LiDAR semantic
Towards user-specific multimodal recommendation via cross-modal attention-enhanced graph convolution network
Agent manipulator: Stealthy strategy attacks on deep reinforcement learning
A layered approach to learning coordination knowledge in multiagent environments
Improving multi-class classification: scaled extensions of harmonic mean-based adaptive k-nearest neighbors
Multi-view multi-manifold learning with local and global structure preservation
Unsupervised Neural Network Learning Procedures for Feature Extraction and Classification
Multi-object behaviour recognition based on object detection cascaded image classification in classroom scenes
Misinformation influence minimization by entity protection on multi-social networks
Semantic segmentation of 3D LiDAR data using deep learning: a review of projection-based methods
A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning
Exploring emotional stability: from conventional approaches to machine learning insights
Correction to: Implicit regularization of a deep augmented neural network model for human motion prediction
None of the above: comparing scenarios for answerability detection in question answering systems
Intention-aware denoising graph neural network for session-based recommendation
DiffusionLight:a multi-agent reinforcement learning approach for traffic signal control based on shortcut-diffusion model
Generative residual block for image generation
Self-supervised collaborative contrast learning for multi-behavior recommendation with adaptive fusion of cross dependency
Multi-scale iterative domain adaptation for specific emitter identification
Cost-sensitive hierarchical classification via multi-scale information entropy for data with an imbalanced distribution
An empirical study on the joint impact of feature selection and data resampling on imbalance classification
An autonomous lightweight model for aerial scene classification under labeled sample scarcity
Attribute community detection based on attribute edges weights fusion and graph embedding factorization
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases
Multi-level adaptive feature representation based on task augmentation for Cross-Domain Few-Shot learning
ConvNet-based performers attention and supervised contrastive learning for activity recognition
Temporal Bayesian Network of Events for Diagnosis and Prediction in Dynamic Domains
Crime hotspot mapping using the crime related factors - a spatial data mining approach
Novel L-fuzzy rough approximation operators induced by overlap and grouping functions on complete lattices and its application to three-way decisions
The water optimization algorithm: a novel metaheuristic for solving optimization problems
Monte-Carlo tree search for Bayesian reinforcement learning
MPNet: temporal knowledge graph completion based on a multi-policy network
Profiling drivers based on driver dependent vehicle driving features
Repeated patterns detection in big data using classification and parallelism on LERP Reduced Suffix Arrays
Influence of the Migration Policy in Parallel Distributed GAs with Structured and Panmictic Populations
Consistent scale normalization for object perception
Analysis of mutation vectors selection mechanism in differential evolution
Multi-state delayed echo state network with empirical wavelet transform for time series prediction
Local structure learning for incomplete multi-view clustering
Modeling adaptive empathy based on neutral assessment: a way to enhance the prosocial behaviors of socialized agents under the premise of self-security
A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India
Boundary equilibrium SR: effective loss functions for single image super-resolution
Action-Based Causal Reasoning
Computational analysis of virus-host protein-protein interactions using gene ontology and natural language processing
A diversity control mechanism in many objective optimizations
A hybrid information-based two-phase expansion algorithm for community detection with imbalanced scales
Dynamic maintenance of updating rough approximations in interval-valued ordered decision systems
Rule-based data mining for yield improvement in semiconductor manufacturing
The sparse Luce model
Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks
A robot grasping detection network based on flexible selection of multi-modal feature fusion structure
Robust synchronization of uncertain delayed neural networks with packet dropout using sampled-data control
Metaheuristics and strategic behavior of markovian retrial queue under breakdown, vacation and bernoulli feedback
A high speed roller dung beetles clustering algorithm and its architecture for real-time image segmentation
Feature selection for multi-label learning with missing labels
"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images"
Two-stage effective attentional generative adversarial network
Enhancing few-shot class-incremental learning through prototype optimization
A novel spatial complex fuzzy inference system for detection of changes in remote sensing images
Usr-mtl: an unsupervised sentence representation learning framework with multi-task learning
Predicting Aflatoxin Contamination in Peanuts: A Genetic Algorithm/Neural Network Approach
A modified multifactorial differential evolution algorithm with optima-based transformation
Improving greedy local search methods by switching the search space
Joint computation offloading and resource allocation based on deep reinforcement learning in C-V2X edge computing
UnifiedSC: a unified framework via collaborative optimization for multi-task person re-identification
Parallel Dual Networks for Visual Object Tracking
Vehicle theft recognition from surveillance video based on spatiotemporal attention
An adaptive adjustment strategy for bolt posture errors based on an improved reinforcement learning algorithm
Adaptive variable-length subsequence pattern extraction in time series
Deep finesse network model with multichannel syntactic and contextual features for target-specific sentiment classification
Predictive control approach incorporating incremental learning
Enhancing UAV-based edge computing: a study on nonhovering operations and two-stage optimization strategies
Feature decomposition and enhancement for unsupervised medical ultrasound image denoising and instance segmentation
Multi-feature fusion enhanced transformer with multi-layer fused decoding for image captioning
Inference during reading: multi-label classification for text with continuous semantic units
Correction to: WSMOTER: a novel approach for imbalanced regression
A worker clustering-based approach of label aggregation under the belief function theory
An improved high-dimensional Bayesian optimization algorithm
GAN-GA: infrared and visible image fusion generative adversarial network based on global awareness
Prototype-based minimum error training for speech recognition
Prediction of blast-hole utilization rate using structured nonlinear support vector machine combined with optimization algorithms
Modified fuzzy ants clustering approach
Decision-Theoretic Planning for Autonomous Robotic Surveillance
Towards modeling embodied conversational agent character profiles using appraisal theory predictions in expression synthesis
FOX: a FOX-inspired optimization algorithm
Adaptively weighted three-way decision oversampling: A cluster imbalanced-ratio based approach
3D real-time human reconstruction with a single RGBD camera
Analytics of high average-utility patterns in the industrial internet of things
Temporal clustering for accurate short-term load forecasting using Bayesian multiple linear regression
Neuroevolutionary learning in nonstationary environments
NTFNet: Narrowing-Then-Fusing network for RGB-TIR semantic segmentation
HGIM: Influence maximization in diffusion cascades from the perspective of heterogeneous graph
Iterative rule induction methods
Deep learning techniques for point cloud tasks: a review
An improved approach to generate generalized basic probability assignment based on fuzzy sets in the open world and its application in multi-source information fusion
Novel First Order Bayesian Optimization with an Application to Reinforcement Learning
Application of binary quantum-inspired gravitational search algorithm in feature subset selection
KNN-based least squares twin support vector machine for pattern classification
Noise-residual Mixup for unsupervised adversarial domain adaptation
FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks
Ontology of Spatial Concepts in a Natural Language Interface for a Mobile Robot
Improving hypergraph convolution network collaborative filtering with feature crossing and contrastive learning
An automated approach to estimate human interest
A hybrid ant colony optimization with fireworks algorithm to solve capacitated vehicle routing problem
An effective embedding algorithm for blind image watermarking technique based on Hessenberg decomposition
A highly scalable modular bottleneck neural network for image dimensionality reduction and image transformation
Rule-centred genetic programming (RCGP): an imperialist competitive approach
RAMD: registry-based anomaly malware detection using one-class ensemble classifiers
Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set
Chaotic antlion algorithm for parameter optimization of support vector machine
Analysis of abnormal pedestrian behaviors at grade crossings based on semi-supervised generative adversarial networks
A radial basis probabilistic process neural network model and corresponding classification algorithm
DBNLDA: Deep Belief Network based representation learning for lncRNA-disease association prediction
A partial order framework for incomplete data clustering
SDROF: outlier detection algorithm based on relative skewness density ratio outlier factor
Sequential neural networks for multi-resident activity recognition in ambient sensing smart homes
k-PbC: an improved cluster center initialization for categorical data clustering
An improved limited random walk approach for identification of overlapping communities in complex networks
Ontology-driven coordination model for multiagent-based mobile workforce brokering systems
Spatiotemporal tubelet feature aggregation and object linking for small object detection in videos
Formal analysis of executions of organizational scenarios based on process-oriented specifications
A new algorithm using integer programming relaxation for privacy-preserving in utility mining
Enabling inductive knowledge graph completion via structure-aware attention network
Lightweight deep neural network from scratch
An efficient lightweight CNN acceleration architecture for edge computing based-on FPGA
Focus tree: modeling attentional information in task-oriented human-machine interaction
Effective Constructive Heuristic and Metaheuristic for the Distributed Assembly Blocking Flow-shop Scheduling Problem
Batch Bayesian optimization via adaptive local search
Relation learning with neighborhood fusion interaction for few-shot knowledge graph completion
Pairwise open-sourced dataSet protection based on adaptive blind watermarking
A Neural Network Based Model for Prognosis of Early Breast Cancer
A quantum-inspired Archimedes optimization algorithm for hybrid-load autonomous guided vehicle scheduling problem
Beyond just saying it's false: explainable AI for multimodal misinformation detection
Decoding human taste perception by reconstructing and mining temporal-spatial features of taste-related EEGs
LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation
Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues
A novel algorithm for all normal parameter reductions of a soft set based on object weighting and integer partition
An analog circuit design environment based on cooperating blackboard systems
Fine-grained semantic textual similarity measurement via a feature separation network