yusuke1997/dblp-id-title huggingface dataset:
Structured reasoning and answer verification: Enhancing question answering system accuracy and explainability
Big social network influence maximization via recursively estimating influence spread
From numeric data to information granules: A design through clustering and the principle of justifiable granularity
Fast random opposition-based learning Golden Jackal Optimization algorithm
Ensemble extreme learning machines for compound-fault diagnosis of rotating machinery
An evidential reasoning-based decision support system for handling customer complaints in mobile telecommunications
Learning the long-tail distribution in latent space for Weighted Link Prediction via conditional Invertible Neural Networks
Particle swarm optimization algorithm based on teaming behavior
A multi-center federated learning mechanism based on consortium blockchain for data secure sharing
A dynamic logistics process knowledge-based system - An RFID multi-agent approach
Modeling N-ary relational data as gyro-polygons with learnable gyro-centroid
MLLMs-MR: Multi-modal recognition based on multi-modal large language models
Statistical Drift Detection Ensemble for batch processing of data streams
A high-performance lightweight network for mining transport belt tear segmentation and degree prediction
A clustering solution for analyzing residential water consumption patterns
Optimal cost-sensitive granularization based on rough sets for variable costs
A Dual Autoencoder-like NMF with higher-order graph regularization for topic modeling
Sapling Similarity: A performing and interpretable memory-based tool for recommendation
Knowledge engineering in expert systems: Mike Greenwell Ellis Horwood Ltd., UK (1988) £25, ISBN 0 470 0513 2, 184 pp
Ontology-aware prediction from rules: A reconciliation-based approach
2-Tuple linguistic hybrid arithmetic aggregation operators and application to multi-attribute group decision making
UAV trajectory optimization for visual coverage in mobile networks using matrix-based differential evolution
CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
Density core-based clustering algorithm with dynamic scanning radius
Dyna-H: A heuristic planning reinforcement learning algorithm applied to role-playing game strategy decision systems
An optimized and enhanced cognitive memory model for mechanical design problems
Informative knowledge distillation for image anomaly segmentation
LLMBD: Backdoor defense via large language model paraphrasing and data voting in NLP
Feature selection considering interaction, redundancy and complementarity for outlier detection in categorical data
Emotional inverse reasoning trees and dominant modality focus for emotion recognition in conversations
Intelligent fault diagnosis via ring-based decentralized federated transfer learning
Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features
Semi-supervised multi-label feature selection via partial label correlation and feature self-representation
A knowledge graph completion model based on contrastive learning and relation enhancement method
pFedKT: Personalized federated learning with dual knowledge transfer
Data preprocessing using banded structure and image morphology enhancing Boolean matrix factorization
Double RISs assisted task offloading for NOMA-MEC with action-constrained deep reinforcement learning
End-User Testing for the Lyee Methodology using the Screen Transition Paradigm and WYSIWYT
Exploring latent discrimination through an Object-Relational Causal Inference method
Adaptive multi-scale transductive information propagation for few-shot learning
Recent development of knowledge-based systems, methods and tools for One-of-a-Kind Production
Finding association rules in semantic web data
Purely sentiment-driven stock index trend forecast: A probability model based on social media sentiment space
Modelling diffusion for multi-generational product planning strategies using bi-level optimization
Multiview nonlinear discriminant structure learning for emotion recognition
Domain-invariant multi-granularity feature learning for generalizable person re-identification
HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering
Cross-graph prompt enhanced learning for personalized recommendation reason generation
A new fuzzy multi-attribute group decision-making method with generalized maximal consistent block and its application in emergency management
DeleSmell: Code smell detection based on deep learning and latent semantic analysis
Pose-invariant face recognition using facial landmarks and Weber local descriptor
Semi-supervised learning for refining image annotation based on random walk model
Adaptive augmentation framework for domain independent few shot learning
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation
Distributed customer behavior prediction using multiplex data: A collaborative MK-SVM approach
Causal representation learning in offline visual reinforcement learning
Graph-regularized least squares regression for multi-view subspace clustering
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks
DM3diff: A novel multi-center, multi-modality and multi-source medical image segmentation framework based on DWT embeded diffusion model
Learning distributed representations of knowledge that preserve deductive reasoning
Commercial-risk joint analysis with probabilistic linguistic assessments
Characterizing and using gullibility, competence, and reciprocity in a very fast and robust trust and distrust inference algorithm for weighted signed social networks
STSE: Spatio-temporal state embedding for knowledge graph completion
Mining knowledge from data using Anticipatory Classifier System
URPI-GRU: An approach of next POI recommendation based on user relationship and preference information
Parameter tuning for meta-heuristics
Fight fire with fire: A heterogeneous graph neural network fairness framework based on heterogeneous neutralization information pre-propagation
Conservative network for offline reinforcement learning
Optimized double transformer residual super-resolution network-based X-ray images for classification of pneumonia identification
Enhancing low-resource neural machine translation with syntax-graph guided self-attention
Anonymizing 1: M microdata with high utility
A novel image based approach for mobile android malware detection and classification
Characteristic matrixes-based knowledge reduction in dynamic covering decision information systems
Payoff-driven migration promotes the evolution of trust in networked populations
IIDM: Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
Multi-criteria collaborative filtering with high accuracy using higher order singular value decomposition and Neuro-Fuzzy system
A dual-aligned knowledge self-distillation framework for visible-infrared cross-modal person re-identification
A novel pricing strategy for mobile broadband carriers using two-stage Stackelberg model
Equilibrium optimizer with divided population based on distance and its application in feature selection problems
FL-Defender: Combating targeted attacks in federated learning
Application of domain-adaptive convolutional variational autoencoder for stress-state prediction
Algebraic dynamics of k -valued fuzzy cognitive maps and its stabilization
Multi-hierarchical error-aware contrastive learning for event argument extraction
Transfer learning-based dual-suppressed possibilistic Gustafson-Kessel clustering for imbalanced image segmentation within similar scenes
A shape-enhanced outlier-detection framework for regression tasks
CyberLLaMA: A fine-tuned large language model for cybersecurity named entity recognition
Intra- and inter-semantic with multi-scale evolving patterns for dynamic graph learning
Most likely heteroscedastic Gaussian process via kernel smoothing
Stochastic video normality network for abnormal event detection in surveillance videos
Co-operation and communication within an active IPSE
Growing semantic vines for robust asset allocation
Mining personality traits from social messages for game recommender systems
AFBS: buffer gradient selection in semi-asynchronous federated learning
Artificial Bee Colony algorithm based on Dominance (ABCD) for a hybrid gene selection method
Application of an expert system to monitoring and control in aquaculture
Skeletal joint image-based multi-channel fusion network for human activity recognition
A novel soft set approach in selecting clustering attribute
Enhancing large language models for bitcoin time series forecasting
A novel model to deal with ambiguous and complex time series: Application to sunspots forecasting
StAlK: Structural Alignment based Self Knowledge distillation for Medical Image Classification
Web usage mining with evolutionary extraction of temporal fuzzy association rules
Extension of the expected value method for multiple attribute decision making with fuzzy data
Word-level emotion distribution with two schemas for short text emotion classification
Robust and unbiased positive and unlabeled learning
Attention deep neural network for lane marking detection
NL2ACSL : Interactively translating natural language to ANSI C specification language with large language models
Pose transfer generation with semantic parsing attention network for person re-identification
Artificial intelligence in design: D T Pham (Ed.)
Token singularity understanding and removal for transformers
Meta-learning based spatial-temporal graph attention network for traffic signal control
Dealing with class imbalance in classifier chains via random undersampling
K-FLARE: A knowledge-fused language and relational-learning framework for rumor detection
Joint spatio-temporal modeling for visual tracking
Cross Corpus Speech Emotion Recognition using transfer learning and attention-based fusion of Wav2Vec2 and prosody features
A learning and evolution-based intelligence algorithm for multi-objective heterogeneous cloud scheduling optimization
How well do pre-trained contextual language representations recommend labels for GitHub issues?
Multi-view 3D object retrieval leveraging the aggregation of view and instance attentive features
A multi-view OVA model based on decision tree for multi-classification tasks
Enhancing semantic image retrieval with limited labeled examples via deep learning
Neural models and algorithms for digital testing : S T Chakradhar, V D Agrawal and M L Bushnell
Modified big-M method to recognize the infeasibility of linear programming models
Replenish-up-to multi-chance-constraint inventory control system under fuzzy random lost-sale and backordered quantities
An intuitionistic fuzzy linear programming method for logistics outsourcing provider selection
DRONE-RL: Dynamic reinforcement learning for online navigation of UAVs in evolving environments
Robust kernel-free support vector regression based on optimal margin distribution
Maximally efficient dialogue mode algorithm
Time-varying polynomial grey prediction modeling with integral matching
An integrated implicit user preference mining approach for uncertain conceptual design decision-making: A pipeline inspection trolley design case study
Measuring effectiveness of ontology debugging systems
Debiased learning and forecasting of first derivative
Deep dual-domain semi-blind network for compressed image quality enhancement
Confidence-diffusion instance contrastive learning for unsupervised domain adaptation
Language model based interactive estimation of distribution algorithm
Effective Generative Replay with Strong Memory for Continual Learning
Reinforcement learning-based modified cuckoo search algorithm for economic dispatch problems
Threat evaluation of enemy air fighters via neural network-based Markov chain modeling
MADM method based on cross-entropy and extended TOPSIS with interval-valued intuitionistic fuzzy sets
Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification
SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization
Distributed representations of entities in open-world knowledge graphs
Location difference of multiple distances based k-nearest neighbors algorithm
Supervised link prediction in multiplex networks
OCIE: Augmenting model interpretability via Deconfounded Explanation-Guided Learning
A fuzzy inference system modeling approach for interval-valued symbolic data forecasting
Classification of EU countries' progress towards sustainable development based on ordinal regression techniques
A second-order-based decision tool for evaluating decisions under conditions of severe uncertainty
Optimization of gear blank preforms based on a new R-GPLVM model utilizing GA-ELM
CLFR-Det: Cross-level feature refinement detector for tiny-ship detection in SAR images
A Span-based Multivariate Information-aware Embedding Network for joint relational triplet extraction of threat intelligence
ASSL-HGAT: Active semi-supervised learning empowered heterogeneous graph attention network
Specifying and identifying widely used crosscutting concerns
Feature super-resolution based Facial Expression Recognition for multi-scale low-resolution images
Optimal discrete fitting aggregation approach with hesitant fuzzy information
A Markov Chain approach for video-based virtual try-on with denoising diffusion generative adversarial network
The semantic web as a Linguistic resource: Opportunities for natural language generation
Deep reinforcement learning for traffic signal control with consistent state and reward design approach
DECAB-LSTM: Deep Contextualized Attentional Bidirectional LSTM for cancer hallmark classification
Spatio-temporal scale information fusion of Functional Near-Infrared Spectroscopy signal for depression detection
On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends
MCAN: Cross-domain self-supervised attention network based on multiscale EEG feature learning for epileptic seizure detection
S-Explainer: A self-explaining NLP framework based on cooperative rationalization and multi-hop evidence reasoning
Automated multiple sclerosis progression rate computation of a patient from 2D FLAIR images with Rayleigh-Weibull-Fuzzy imaging and augmented morphing method
The application of artificial neural networks to anticipate the average journey time of traffic in the vicinity of merges
Online collaborative filtering via fusing the rating consistencies
A locally weighted multi-domain collaborative adaptation for failure prediction in SSDs
Systematic ensemble model selection approach for educational data mining
Exploiting global contextual information for document-level named entity recognition
Deep learning-based unsupervised representation clustering methodology for automatic nuclear reactor operating transient identification
From critiquing to representational talkback: computer support for revealing features in design
Recognizing physical contexts of mobile video learners via smartphone sensors
Integrating listwise ranking into pairwise-based image-text retrieval
Multilevel hierarchical retrieval
AutoRM: An effective approach for automatic Web data record mining
TITAN: A knowledge-based platform for Big Data workflow management
Special Issue on "Intelligent Software Design"
Outlier detection on uncertain data based on local information
SelectE: Multi-scale adaptive selection network for knowledge graph representation learning
A novel approach to dynamic portfolio trading system using multitree genetic programming
Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system
Interval valued demand and prepayment-based inventory model for perishable items via parametric approach of interval and meta-heuristic algorithms
Knowledge-based self-calibration method of calibration phantom by and for accurate robot-based CT imaging systems
The optimization ordering model for intuitionistic fuzzy preference relations with utility functions
MetaCloze: a schema-guided automated building metadata model generation system via information extraction
Overview of human-computer collaboration
Deepfake audio detection with spectral features and ResNeXt-based architecture
PmiaNLL: Defending against poisoning membership inference attacks with noisy label learning
Pseudo-margin-based universal domain adaptation
Sparse projection infinite selection ensemble for imbalanced classification
A rule-based expert system approach to process selection for cast components
Cost-aware retraining for machine learning
Towards efficient salient object detection via U-shape architecture search
A web-based information and decision support system for appropriateness in medicine
A zero-cost unsupervised transfer method based on non-vibration signals fusion for ball screw fault diagnosis
Fast low rank representation based spatial pyramid matching for image classification
Rough Cognitive Networks
A concept fringe-based concept-cognitive learning method in skill context
Guiding Lyee user requirements capture
Redescription mining on data with background network information
Greedy stochastic configuration networks for ill-posed problems
Balancing user satisfaction and cognitive load in coverage-optimised retrieval
Aspect-based sentiment analysis via multitask learning for online reviews
Multiple attribute group decision making: A generic conceptual framework and a classification scheme
TWDT: Training-free word-level controllable diffusion model for text generation
RecMamba: Reconstruction-augmented dual-path Mamba for time series forecasting
An interactive tool based on priority semantic networks
DDINet: A multi-task neural network for accurate drug-drug interaction prediction and effect analysis
A novel incremental ensemble learning for real-time explainable forecasting of electricity price
Design and implementation of an integrated knowledge system
Strategic knowledge acquisition: a case study of learning through prototyping
A novel domain-private-suppress meta-recognition network based universal domain generalization for machinery fault diagnosis
Gaussian evidential ensemble learning of logistic classifiers
Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration
Automated detection of atrial fibrillation using Bayesian paradigm
Diagnostic spatio-temporal transformer with faithful encoding
An improvement decomposition-based multi-objective evolutionary algorithm using multi-search strategy
A dynamic stochastic search algorithm for high-dimensional optimization problems and its application to feature selection
LR-SMOTE - An improved unbalanced data set oversampling based on K-means and SVM
Cross-modal image sentiment analysis via deep correlation of textual semantic
KGRL: Knowledge graph-enhanced representation learning for long-tail recommendation
Textual semantics enhancement adversarial hashing for cross-modal retrieval
Towards a Protein-Protein Interaction information extraction system: Recognizing named entities
Temporal-aware and multifaceted social contexts modeling for social recommendation
Approximate concept construction with three-way decisions and attribute reduction in incomplete contexts
IngeniousTRIZ: An automatic ontology-based system for solving inventive problems
K-Means clustering based Extreme Learning ANFIS with improved interpretability for regression problems
PromptAL: Sample-aware dynamic soft prompts for few-shot active learning
MIFDELN: A multi-sensor information fusion deep ensemble learning network for diagnosing bearing faults in noisy scenarios
Feature selection using binary horse herd optimization algorithm with lightGBA ensemble classification in microarray data
Large-scale fine-grained image retrieval via Proxy Mask Pooling and multilateral semantic relations
Towards a fuzzy-logic programming system: a 1st-order fuzzy logic
MOEA/D-ARA+SBX: A new multi-objective evolutionary algorithm based on decomposition with artificial raindrop algorithm and simulated binary crossover
A motion-appearance-aware network for object change detection
ACFL: Communication-Efficient adversarial contrastive federated learning for medical image segmentation
Time corpora: Epochs, opinions and changes
An improved antlion optimizer with dynamic random walk and dynamic opposite learning
Discriminator feature-based progressive GAN inversion
Individualized image steganography method with Dynamic Separable Key and Adaptive Redundancy Anchor
Designing and evaluating user interfaces for knowledge-based systems : K L McGraw Ellis Horwood
Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets
A Google Trend enhanced deep learning model for the prediction of renewable energy asset price
The tender support system
Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis
A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine
ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features
A compact fuzzy min max network with novel trimming strategy for pattern classification
Self-training for multi-target regression with tree ensembles
A novel algorithm weighting different importance of classes in enhanced association rules
An autonomous dynamic trust management system with uncertainty analysis
A graph-guided LLM prompting for supply-demand reasoning in substation flood prevention
Pruning graph neural networks by evaluating edge properties
Designing rule-based fuzzy systems for classification in medicine
Reporting and analyzing alternative clustering solutions by employing multi-objective genetic algorithm and conducting experiments on cancer data
RecoLibry-core: A component-based framework for building recommender systems
Distilled mid-fusion transformer networks for multi-modal human activity recognition
Explore unsupervised exposure correction via illumination component divided guidance
Channel-spatial attention-based pan-sharpening of very high-resolution satellite images
Cloud-Cluster: An uncertainty clustering algorithm based on cloud model
A two-stage method for doubly resource constrained elementary shortest path problems
ADCL: Adversarial Distilled Contrastive Learning on lightweight models for self-supervised image classification
Diverse Semantic Image Synthesis with various conditioning modalities
Principle-based dispute resolution for consumer protection
Self-adaptive oversampling method based on the complexity of minority data in imbalanced datasets classification
Semantic driven attention network with attribute learning for unsupervised person re-identification
A system for monitoring, assessing and certifying Quality of Service in telematic services
Using non-lexical features for identifying factual and opinionative threads in online forums
Choosing the right dataset: Hardness criteria for feature selection benchmarking
Integrating semantic Web services ranking mechanisms using a common preference model
Semantic smoothing for text clustering
A new hybrid approach to improve the efficiency of homomorphic matching for graph rules
Classifying emotions in Stack Overflow and JIRA using a multi-label approach
A reliable cross-site user generated content modeling method based on topic model
TVC Former: A transformer-based long-term multivariate time series forecasting method using time-variable coupling correlation graph
Three-way conflict analysis: Reformulations and extensions of the Pawlak model
A novel framework for effective phishing URL detection using an LSTM-based siamese network
Multimodal multi-instance learning for long-term ECG classification
DTIN: Dual Transformer-based Imputation Nets for multivariate time series emitter missing data
Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction
CF4J: Collaborative filtering for Java