yusuke1997/dblp-id-title huggingface dataset:
DARTS-EAST: an edge-adaptive selection with topology first differentiable architecture selection method
Correlations among three performance indices with decision about training parameters based on energy variation in a robot's part micro-assembly methodologies
An attribute-weighted isometric embedding method for categorical encoding on mixed data
A heterogeneous multi-attribute case retrieval method based on neutrosophic sets and TODIM for emergency situations
A joint attention enhancement network for text classification applied to citizen complaint reporting
Effect of continuous S-shaped rectified linear function on deep convolutional neural network
Measurement of adulteration in liquids by optical interferograms analysis and deep learning
A comprehensive approach to enhance fault prediction through code-comment analysis with CodeBERT
An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques
MATHsAiD: Automated mathematical theory exploration
Portable autonomous walk calibration for 4-legged robots
A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection
Clarification question generation diversity and specificity enhancement based on question keyword prediction
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning
Deep mutual information multi-view representation for visual recognition
An evolutionary approach for obnoxious cooperative maximum covering location problem
Prioritizing positive feature values: a new hierarchical feature selection method
LabCor: Multi-label classification using a label correction strategy
BiLSTM-TANet: an adaptive diverse scenes model with context embeddings for few-shot learning
A multi-step on-policy deep reinforcement learning method assisted by off-policy policy evaluation
Incomplete multi-view subspace clustering with adaptive instance-sample mapping and deep feature fusion
Dimensionality reduction by t-Distribution adaptive manifold embedding
Crowd evacuation path planning and simulation method based on deep reinforcement learning and repulsive force field
Hierarchical pseudo-label learning for one-shot person re-identification
Intrusion detection for high-speed railways based on unsupervised anomaly detection models
Variational autoencoder Bayesian matrix factorization (VABMF) for collaborative filtering
Robot navigation in a crowd by integrating deep reinforcement learning and online planning
Personalized clothing matching recommendation algorithm based on user portrait
Using conflict and support counts for variable and value ordering in CSPs
Novel self-adaptive routing service algorithm for application in VANET
Adaptive cooperative particle swarm optimizer
A new humanitarian relief logistic network for multi-objective optimization under stochastic programming
Design of fuzzy radial basis function neural network classifier based on information data preprocessing for recycling black plastic wastes: comparative studies of ATR FT-IR and Raman spectroscopy
A human-like visual-attention-based artificial vision system for wildland firefighting assistance
Rumour detection technology based on the BiGRU_capsule network
CIM: clique-based heuristic for finding influential nodes in multilayer networks
ADAM-DPGAN: a differential private mechanism for generative adversarial network
A novel framework of fuzzy oblique decision tree construction for pattern classification
Fully supervised contrastive learning in latent space for face presentation attack detection
Learning stacking regressors for single image super-resolution
E-GCN: graph convolution with estimated labels
A novel rule generation and activation method for extended belief rule-based system based on improved decision tree
Optimal trajectories of multi-UAVs with approaching formation for target tracking using improved Harris Hawks optimizer
ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation task
Multi-layer manifold learning with feature selection
Broadcast news story segmentation using sticky hierarchical dirichlet process
Mining closed high utility patterns with negative utility in dynamic databases
Prompt-guided and degradation prior supervised transformer for adverse weather image restoration
High-order local connection network for 3D human pose estimation based on GCN
FRI-miner: fuzzy rare itemset mining
GANet: geometry-aware network for RGB-D semantic segmentation
From event calculus to the scheduling problem. Semantics of action and temporal reasoning in aircraft maintenance
A low variance error boosting algorithm
An improved evidential Markov decision making model
Steering vector embedding complex-valued generative adversarial nets for radar signal generation and large-scale phase enhancement learning for super-resolution DOA estimation
Optimal stroke learning with policy gradient approach for robotic table tennis
Template matching using an improved electromagnetism-like algorithm
Unsupervised discriminative feature representation via adversarial auto-encoder
A new algorithm for modeling online search behavior and studying ranking reliability variations
Cost-effective workflow scheduling approach on cloud under deadline constraint using firefly algorithm
Maximum relevance minimum redundancy-based feature selection using rough mutual information in adaptive neighborhood rough sets
Grid-DPC: Improved density peaks clustering based on spatial grid walk
Towards a dynamic modeling of the predator prey problem
In-depth exploration of attribute information for person re-identification
IrisMarkNet: Iris feature watermarking embedding and extraction network for image copyright protection
AEP-GAN: Aesthetic Enhanced Perception Generative Adversarial Network for Asian facial beauty synthesis
3D solid model generation method based on a generative adversarial network
An integrated method for multi-criteria decision-making based on the best-worst method and Dempster-Shafer evidence theory under double hierarchy hesitant fuzzy linguistic environment
Prioritized planning algorithm for multi-robot collision avoidance based on artificial untraversable vertex
A segmentation-based sequence residual attention model for KRAS gene mutation status prediction in colorectal cancer
Reasoning about reasoning in a meta-level architecture
OAW-GAN: occlusion-aware warping GAN for unified human video synthesis
Application of hill climbing method in position angle compensation for SPMSM
Non-local self-attention network for image super-resolution
PretopoMD: pretopology-based mixed data hierarchical clustering
Label driven latent subspace learning for multi-view multi-label classification
An unsupervised strategy for defending against multifarious reputation attacks
A resource enhanced HTN planning approach for emergency decision-making
BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata
Identifying Approximate Itemsets of Interest in Large Databases
The improved adaptive link adjustment evolutionary algorithm for the multiple container packing problem
A nonlocal HEVC in-loop filter using CNN-based compression noise estimation
Instance interactive association graph convolutional network for domain adaptive person re-identification
DBTN: An adaptive neural network for multiple-disease detection via imbalanced medical images distribution
Elite fuzzy clustering ensemble based on clustering diversity and quality measures
Adaptive multi-modal fusion hashing via Hadamard matrix
Inception single shot multi-box detector with affinity propagation clustering and their application in multi-class vehicle counting
Safe sample screening for robust twin support vector machine
Improving weakly supervised phrase grounding via visual representation contextualization with contrastive learning
Fixed global memory for controllable long text generation
On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence
More effective and efficient exploration via more refined gradient information
Novel consistency and consensus of generalized intuitionistic fuzzy preference relations with application in group decision making
A deep learning-based two-stage prognostic approach for remaining useful life of rolling bearing
Multilinear Enhanced Fisher Discriminant Analysis for robust multimodal 2D and 3D face verification
Image retrieval based on augmented relational graph representation
Multimodal fuzzy granular representation and classification
Efficient convolutional dual-attention transformer for automatic modulation recognition
A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks
SubTST: a consolidation of sub-word latent topics and sentence transformer in semantic representation
Adaptive diagnosis of DC motors using R-WDCNN classifiers based on VMD-SVD
An enhanced ant colony optimization (EACO) applied to capacitated vehicle routing problem
A multi-class partial hinge loss for partial label learning
Skeleton-based human action recognition using LSTM and depthwise separable convolutional neural network
An adaptive boundary-based selection many-objective evolutionary algorithm with density estimation
Sequential or jumping: context-adaptive response generation for open-domain dialogue systems
Writer identification using redundant writing patterns and dual-factor analysis of variance
Small-sample size problems solving based on incremental learning: an adaptive Bayesian quadrature approach
An integrated approach implementing sliding window and DTW distance for time series forecasting tasks
A reference vector adaptive strategy for balancing diversity and convergence in many-objective evolutionary algorithms
Multi-focal semantic consistency assignment for category-sensitive information access
Unified model for collective and point anomaly detection using stacked temporal convolution networks
Modified dynamic fuzzy c-means clustering algorithm - Application in dynamic customer segmentation
Learning rich feature representation and aggregation for accurate visual tracking
A new base function in basic probability assignment for conflict management
Unsupervised domain adaptation based COVID-19 CT infection segmentation network
Evaluating power system reform proposals based on the evidential reasoning algorithm with hesitant fuzzy information
PVT-MA: pyramid vision transformers with multi-attention fusion mechanism for polyp segmentation
A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process
Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising
Rapid federated unlearning with tuning parameters based on fisher information matrix
SFE-SLAM: an effective LiDAR SLAM based on step-by-step feature extraction
Information learning-driven consensus reaching process in group decision-making with bounded rationality and imperfect information: China's urban renewal negotiation
Multi-dimensional feature driven GPU usage prediction model based on task and system environment classification
Customized ranking for products through online reviews: a method incorporating prospect theory with an improved VIKOR
An active object detection model with multi-step prediction based on deep q-learning network and innovative training algorithm
Fuzzy systems and neural networks in software engineering project management
Stacked-autoencoder-based model for COVID-19 diagnosis on CT images
Missing data analyses: a hybrid multiple imputation algorithm using Gray System Theory and entropy based on clustering
BiLGAT: Bidirectional lattice graph attention network for chinese short text classification
Short-term traffic flow prediction based on SAE and its parallel training
Logic-based interpretation of geometrically observable changes occurring in dynamic scenes
Guest Editorial: Agent-based Grid computing
Simultaneous optimization of artificial neural networks for financial forecasting
A framework to enhance generalization of deep metric learning methods using general discriminative feature learning and class adversarial neural networks
Approximately decoupled component supervision for salient object detection
Deep non-negative matrix factorization with edge generator for link prediction in complex networks
A new evaluation measure using compression dissimilarity on text summarization
A two stages prediction strategy for evolutionary dynamic multi-objective optimization
UGMINE: utility-based graph mining
A hash trie filter method for approximate string matching in genomic databases
Accurate and robust facial expression recognition system using real-time YouTube-based datasets
Multi-scale object detection for high-speed railway clearance intrusion
A distributed group recommendation system based on extreme gradient boosting and big data technologies
Snapshot ensembles of non-negative matrix factorization for stability of topic modeling
LDAMSS: Fast and efficient undersampling method for imbalanced learning
An Efficient Cloudlet Deployment Method Based on Approximate Graph Cut in Large-scale WMANs
Common lecturers timetabling among departments based on funnel-shape clustering algorithm
MSDformer: an autocorrelation transformer with multiscale decomposition for long-term multivariate time series forecasting
An Agent-Based Approach for Scheduling Multiple Machines
TAENet: transencoder-based all-in-one image enhancement with depth awareness
Real-time AI-driven quality control for laboratory automation: a novel computer vision solution for the opentrons OT-2 liquid handling robot
Dynamic multichannel fusion mechanism based on a graph attention network and BERT for aspect-based sentiment classification
DTR4Rec: direct transition relationship for sequential recommendation
Cross-dataset face analysis based on multi-task learning
Empirical mode decomposition and convolutional neural network-based approach for diagnosing psychotic disorders from eeg signals
Link prediction using deep autoencoder-like non-negative matrix factorization with L21-norm
Enhanced edge convolution-based spatial-temporal network for network traffic prediction
RamIR: Reasoning and action prompting with Mamba for all-in-one image restoration
A unified classifiability analysis framework based on meta-learner and its application in spectroscopic profiling data
SCESN, SPESN, SWESN: Three recurrent neural echo state networks with clustered reservoirs for prediction of nonlinear and chaotic time series
A new approach and system for attentive mobile learning based on seamless migration
Learning contextual representations for entity retrieval
An automatic methodology for full dentition maturity staging from OPG images using deep learning
Cross-modality person re-identification via channel-based partition network
Magic barrier estimation models for recommended systems under normal distribution
Generative adversarial network based on semantic consistency for text-to-image generation
Cost-constrained network dismantling using quadratic evolutionary algorithm for interdependent networks
Hierarchical dynamic movement primitive for the smooth movement of robots based on deep reinforcement learning
Stability and stabilization for uncertain fuzzy system with sampled-data control and state quantization
Takagi-sugeno fuzzy model identification using coevolution particle swarm optimization with multi-strategy
Multispecies bird sound recognition using a fully convolutional neural network
A cooperative approach for combining particle swarm optimization and differential evolution algorithms to solve single-objective optimization problems
A novel link prediction method for supervising transitivity process
Person re-identification via semi-supervised adaptive graph embedding
Pedestrian flow prediction using a spatiotemporal multi-head attention graph convolutional network integrated with knowledge graph
Unsupervised representation learning based on the deep multi-view ensemble learning
Heuristically accelerated reinforcement learning modularization for multi-agent multi-objective problems
Integrating rush orders into existent schedules for a complex job shop problem
Incremental 3D reconstruction using Bayesian learning
On threshold based approximations of mf-rough sets
Pose estimation for workpieces in complex stacking industrial scene based on RGB images
IMGC-GNN: A multi-granularity coupled graph neural network recommendation method based on implicit relationships
Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosis
Non-convex approximation based l 0 -norm multiple indefinite kernel feature selection
Guest Editorial: Text and Web Mining
Applying machine learning techniques for scaling out data quality algorithms in cloud computing environments
Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning
Multi-view clustering with filtered bipartite graph
An optimal and secure resource searching algorithm for unstructured mobile peer-to-peer network using particle swarm optimization
Averaged tree-augmented one-dependence estimators
A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded system
A stable data-augmented reinforcement learning method with ensemble exploration and exploitation
Routing hypergraph convolutional recurrent network for network traffic prediction
Mjolnir: A framework agnostic auto-tuning system with deep reinforcement learning
A cutting-edge framework for industrial intrusion detection: Privacy-preserving, cost-friendly, and powered by federated learning
Data-driven fuzzy rule generation and its application for student academic performance evaluation
Improving transfer learning for software cross-project defect prediction
Improved sound source localization in horizontal plane for binaural robot audition
A novel entity joint annotation relation extraction model
Optimal local dimming based on an improved greedy algorithm
Extended topic classification utilizing LDA and BERTopic: A call center case study on robot agents and human agents
Globally automatic fuzzy clustering for probability density functions and its application for image data
Boosting MUC extraction in unsatisfiable constraint networks
ISSATA: An algorithm for solving the 3-satisfiability problem based on improved strategy
Efficient algorithm for mining high average-utility itemsets in incremental transaction databases
Item sequential recommendation based on graph embedding model
ATGAN: Adversarial training-based GAN for improving adversarial robustness generalization on image classification
Shift density estimation based approximately recurring motif discovery
A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification
A reference ideal model with evidential reasoning for probabilistic-based expressions
Hybrid whale optimization algorithm based on symbiosis strategy for global optimization
Short-term load forecasting system based on sliding fuzzy granulation and equilibrium optimizer
A hybrid whale optimization algorithm based on modified differential evolution for global optimization problems
Enhancing missing facts inference in knowledge graph using triplet subgraph attention embeddings
Solving matrix games based on Ambika method with hesitant fuzzy information and its application in the counter-terrorism issue
Predicting viewer's watching behavior and live streaming content change for anchor recommendation
Online food ordering delivery strategies based on deep reinforcement learning
A spectral clustering algorithm based on attribute fluctuation and density peaks clustering algorithm
An efficient utility-list based high-utility itemset mining algorithm
Predicting hemodynamic parameters based on arterial blood pressure waveform using self-supervised learning and fine-tuning
Schedule coordination through egalitarian recurrent multi-unit combinatorial auctions
Fast density peaks clustering algorithm in polar coordinate system
Ranking influential nodes in complex networks based on local and global structures
Multilingual natural scene text detection via global feature fusion
Quantum-transformer integration in H 2 STGCN: a novel approach for spatiotemporal pattern modeling
Multi-relational knowledge graph completion method with local information fusion
A fast adaptive algorithm for training deep neural networks
Knowledge graph embeddings based on 2d convolution and self-attention mechanisms for link prediction
Maintaining knowledge with a formal model
Modification of hybrid RNN-HMM model in asset pricing: univariate and multivariate cases
A novel CNN framework to extract multi-level modular features for the classification of brain networks
Approximate planning for bayesian hierarchical reinforcement learning
Friend circles network: formation and the law of news dissemination
SDSCNet: an instance segmentation network for efficient monitoring of goose breeding conditions
A Case Based System for Oil and Gas Well Design with Risk Assessment
Modified model free dynamic programming : an augmented approach for unmanned aerial vehicle
ExQUAL: an explainable quantum machine learning classifier
Task attention-based multimodal fusion and curriculum residual learning for context generalization in robotic assembly
An intelligent threats solution for object detection and resource perspective rectification of distorted anomaly identification card images in cloud environments
Approximation-based feature selection and application for algae population estimation
Independent travel recommendation algorithm based on analytical hierarchy process and simulated annealing for professional tourist
Long-term electrocardiogram signal quality assessment pipeline based on a frequency-adaptive mean absolute deviation curve
Dual-scale correlation analysis for robust multi-label classification
Multimodal market information fusion for stock price trend prediction in the pharmaceutical sector
Online exploratory behavior acquisition model based on reinforcement learning
Conditional mutual information-based feature selection algorithm for maximal relevance minimal redundancy
An efficient salp swarm algorithm based on scale-free informed followers with self-adaption weight
SCHEMA: A Knowledge Edition Interface for Obtaining Program Code from Structured Descriptions of PSMs: Two Case Studies
Heterogenous image fusion model with SR-dual-channel PCNN significance region for NSST in an apple orchard
Improving autoencoder by mutual information maximization and shuffle attention for novelty detection
Three-way experience replay for the prediction under concept drift
Data representation learning via dictionary learning and self-representation
Characteristic Rule Discovery in Aurum-3
Automated Phase Design and Timing Adjustment for Signal Phase Design
Neighborhood based concept lattice
Covariance-based metric model for cross-domain few-shot classification and learning-to-generalization
Adaptation of proxy certificates to non-repudiation protocol of agent-based mobile payment systems
Variable-wise generative adversarial transformer in multivariate time series anomaly detection
Research on a dynamic full Bayesian classifier for time-series data with insufficient information
Improved adaptive coding learning for artificial bee colony algorithms
BiTE: a dynamic bi-level traffic engineering model for load balancing and energy efficiency in data center networks
Diagnosis and repair of dependent failures in the control system of a mobile autonomous robot
A method for building ontology-based electronic document management systems for quality standards - the case study of the ISO/TS 16949: 2002 automotive standard
Small object detection via dual inspection mechanism for UAV visual images
Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks
Detection and pose measurement of underground drill pipes based on GA-PointNet++