yusuke1997/dblp-id-title huggingface dataset:
Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach
Few-shot fine-grained classification with Spatial Attentive Comparison
A masked reverse knowledge distillation method incorporating global and local information for image anomaly detection
Image matting in the perception granular deep learning
Protein secondary structure prediction using a lightweight convolutional network and label distribution aware margin loss
Cognitive-based adaptive scenarios in educational games using fuzzy reasoning
Digital twin and machine learning for decision support in thermal power plant with combustion engines
Learning sparse features with lightweight ScatterNet for small sample training
Scenario-based self-learning transfer framework for multi-task optimization problems
A scalable saliency-based feature selection method with instance-level information
Spectral clustering and embedding with inter-class topology-preserving
Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction
Sentic patterns: Dependency-based rules for concept-level sentiment analysis
Inferring Gene Regulatory Networks via Directed Graph Contrastive Representation Learning
Bridging element fragmentation and inter-view discontinuity via directional geometric embeddings for cross-modal map construction
A non-parametric feature assessment mechanism by identifying representative neighbors for image clustering
Mining strong symbiotic patterns hidden in spatial prevalent co-location patterns
Interpretable mammographic mass classification with fuzzy interpolative reasoning
Using knowledge on word-islands to improve the performance of spoken dialogue systems
A prospect theory-based group decision approach considering consensus for portfolio selection with hesitant fuzzy information
Class imbalance and the curse of minority hubs
DiffSkill: Improving Reinforcement Learning through diffusion-based skill denoiser for robotic manipulation
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network
A surrogate-ensemble assisted expensive many-objective optimization
The consensus of probabilistic uncertain linguistic preference relations and the application on the virtual reality industry
Interpretable neuro-cognitive diagnostic approach incorporating multidimensional features
Does Google search index really help predicting stock market volatility? Evidence from a modified mixed data sampling model on volatility
Identification of fact-implied implicit sentiment based on multi-level semantic fused representation
Geometry-assisted multi-representation view reconstruction network for Light Field image angular super-resolution
QoS prediction for web services in cloud environments based on swarm intelligence search
JAM: Joint attention model for next event recommendation in event-based social networks
Causal relationship analysis of high-dimensional time series based on quantile factor model
Boosting RGB-D salient object detection with adaptively cooperative dynamic fusion network
Federated feature reconstruction with collaborative star networks
Q-Learning-Driven Accelerated Iterated Greedy Algorithm for Multi-Scenario Group Scheduling in Distributed Blocking Flowshops
An one-class classification support vector machine model by interval-valued training data
A novel frequency-stratified transformer framework with cross-frequency attention for reliable cardiac arrhythmia classification
Meta-learning-based sample discrimination framework for improving dynamic selection of classifiers under label noise
Learning high-order structural and attribute information by knowledge graph attention networks for enhancing knowledge graph embedding
Differentially private regression analysis with dynamic privacy allocation
Optimized multi-anchor space-aware temporal convolutional neural network for automobile sales prediction
CBCRS: An open case-based color recommendation system
User behavior prediction model based on implicit links and multi-type rumor messages
An optimized task assignment framework based on crowdsourcing knowledge graph and prediction
A topic-sensitive trust evaluation approach for users in online communities
Fast forest fire smoke detection using MVMNet
A hybrid KMV model, random forests and rough set theory approach for credit rating
Cost-efficient interventions for promoting fairness in the ultimatum game
A decisive content based image retrieval approach for feature fusion in visual and textual images
EIGAT: Incorporating global information in local attention for knowledge representation learning
Dimensionality reduction via discretization
Double embedding and bidirectional sentiment dependence detector for aspect sentiment triplet extraction
MTLSC-Diff: Multitask learning with diffusion models for hyperspectral image super-resolution and classification
DGPR: Towards privacy-preserving recommendation via Bayesian data generation
Dual contrastive universal adaptation network for multi-source visual recognition
Human-object interaction detector with unsupervised domain adaptation
Asymmetric co-training with explainable cell graph ensembling for histopathological image classification
A new sparse representation framework for compressed sensing MRI
Tabu search for the Max-Mean Dispersion Problem
Sequential three-way decision and granulation for cost-sensitive face recognition
An occupant-centered approach to improve both his comfort and the energy efficiency of the building
Software architecture critics in the Argo design environment
Structure learning for belief rule base expert system: A comparative study
FashionGPT: LLM instruction fine-tuning with multiple LoRA-adapter fusion
A Motion Deblurring Disentangled Representation Network
Meta-learning of feature distribution alignment for enhanced feature sharing
A multi-class teaching-learning-based optimization for multi-objective distributed hybrid flow shop scheduling
UBMF: Uncertainty-aware bayesian meta-learning framework for fault diagnosis with imbalanced industrial data
Dominance-based rough set model in intuitionistic fuzzy information systems
Accelerated experimental design using a human-AI teaming framework
Label ranking oblique trees
Knowledge of words: An interpretable approach for personality recognition from social media
Detection of SQL injection based on artificial neural network
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
Incremental learning from news events
Enhancing deep neural network training through learnable adaptive normalization
Applications of rule-base coverage measures to expert system evaluation
ANN-DPC: Density peak clustering by finding the adaptive nearest neighbors
An approach to mining bundled commodities
Division gets better: Learning brightness-aware and detail-sensitive representations for low-light image enhancement
Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine
Data Envelopment Analysis of linguistic features and passage relevance for open-domain Question Answering
Trust number: Trust-based modeling for handling decision-making problems
DCMSL: Dual influenced community strength-boosted multi-scale graph contrastive learning
A conflict-eliminating approach for emergency group decision of unconventional incidents
Random Balance: Ensembles of variable priors classifiers for imbalanced data
Principal Association Mining: An efficient classification approach
Multi-dimensional spatial-temporal graph convolution for urban sensors imputation and enhancement
Multiple learning particle swarm optimization with space transformation perturbation and its application in ethylene cracking furnace optimization
A lightweight and efficient detector for concealed object in active millimeter wave images
Numerical treatment of fractional order Buruli ulcer and cholera model by using neural network approach
YogNet: A two-stream network for realtime multiperson yoga action recognition and posture correction
Vanishing windows: an approach to adaptive window management
Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization
Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning
ReDiST : A lightweight residual analysis framework for fast and accurate unsupervised drift detection in intelligent systems
ARM-AMO: An efficient association rule mining algorithm based on animal migration optimization
Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation
On the design of Bayesian principled algorithms for imbalanced classification
Conceptual-graph approach for the representation of temporal information in discourse
A deep learning-based approach with two-step minority classes prediction for intrusion detection in Internet of Things networks
A joint optimization method on parameter and structure for belief-rule-based systems
Neural Attentive Travel package Recommendation via exploiting long-term and short-term behaviors
SFGN: Representing the sequence with one super frame for video person re-identification
An innovative one-class least squares support vector machine model based on continuous cognition
Evolutionary game theoretical on-line event detection over tweet streams
Asymmetric and robust loss function driven least squares support vector machine
An ensemble approach to multi-view multi-instance learning
Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting
RDFT-CDUN: Image compressed sensing using complex-valued measurement matrix and complex-based deep unfolding network
Incorporating logic rules with textual representations for interpretable knowledge graph reasoning
An entropy-based weighted dissimilarity metric for numerical data clustering using the distribution of intra feature differences
Service organization and recommendation using multi-granularity approach
AI planning: solutions for real world problems
From the past to the present: A social bot detection method based on spatio-temporal interactive perception
A deep learning-based bilingual Hindi and Punjabi named entity recognition system using enhanced word embeddings
Flexible learning tree augmented naïve classifier and its application
Unsupervised dimension-contribution-aware embeddings transformation for anomaly detection
Distributional discrepancy: A metric for unconditional text generation
Combining ontology and reinforcement learning for zero-shot classification
The Animated Oat Optimization Algorithm: A nature-inspired metaheuristic for engineering optimization and a case study on Wireless Sensor Networks
Image paragraph captioning with topic clustering and topic shift prediction
An integrated MCDM model with enhanced decision support in transport safety using machine learning optimization
Efficient physical image attacks using adversarial fast autoaugmentation methods
Intellectual capital and national innovation systems performance
Toward more effective bag-of-functions architectures: Exploring initialization and sparse parameter representation
Impact of connectionist systems on design
Analyses and applications of optimization methods for complex network reconstruction
AutoPolCNN: A neural architecture search method of convolutional neural network for PolSAR image classification
Gating augmented capsule network for sequential recommendation
Mixture of calibrated networks for domain generalization in brain tumor segmentation
Semi-supervised learning with pseudo-negative labels for image classification
CBR based system for forecasting red tides
Improving knowledge distillation via an expressive teacher
Overcoming imbalanced safety data using extended accident triangle
Uncertainty-guided and cross-modality attention network for liver tumor segmentation and quantification via integrating dynamic MRI
CtFPPN: A coarse-to-fine pattern parser for dealing with distribution imbalance of pixels
CrossPrune: Cooperative pruning for camera-LiDAR fused perception models of autonomous driving
Deeply scale aggregation network for object counting
A structure optimization method for extended belief-rule-based classification system
Personally identifiable information detection in smart edge computing: A robust model evaluation
Integrating external knowledge into aspect-based sentiment analysis using graph neural network
Graph attention contrastive learning with missing modality for multimodal recommendation
Balancing accuracy and diversity in recommendations using matrix completion framework
Machine learning explainability via microaggregation and shallow decision trees
Enhancing evolutionary multitasking for high-dimensional feature selection through task relevance evaluation and knowledge transfer
Multiple individual guided differential evolution with time varying and feedback information-based control parameters
Inductive conformal recommender system
Robust joint representation with triple local feature for face recognition with single sample per person
Optimizing slogan classification in ubiquitous learning environment: A hierarchical multilabel approach with fuzzy neural networks
Curriculum-guided dynamic division strategy for graph contrastive learning
Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features
A span-sharing joint extraction framework for harvesting aspect sentiment triplets
CUMTGAN: An instance-level controllable U-Net GAN for facial makeup transfer
Abductive learning-guided uncertainty modeling for time series anomaly detection
A novel and efficient risk minimisation-based missing value imputation algorithm
High order discriminant analysis based on Riemannian optimization
Multi-target regression via target specific features
An ACO-based approach to mine high-utility itemsets
Robust dual-graph discriminative NMF for data classification
A novel deep neural network for detection of Atrial Fibrillation using ECG signals
Progressive Hierarchical Deep Reinforcement Learning for defect wafer test
Schema dependency-enhanced curriculum pre-training for table semantic parsing
Using multiple uncertain examples and adaptative fuzzy reasoning to optimize image characterization
An online Bayesian approach to change-point detection for categorical data
Multi-strategy boosted marine predators algorithm for optimizing approximate developable surface
HCN-RLR-CAN: A novel human-computer negotiation model based on round-level recurrence and causal attention networks
HASVRec: A modularized Hierarchical Attention-based Scholarly Venue Recommender system
MAG: A performance evaluation framework for database systems
When fractional calculus meets robust learning: Adaptive robust loss functions
Dynamic labeling scheme for XML updates
Adaptive locally weighted support vector algorithm with asymmetrically parametric insensitive/margin model
Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction
Agent-based modeling of consumer decision making process based on power distance and personality
A Memory-augmented Conditional Neural Process model for traffic prediction
Multi-objective attuned design of damping controllers using frequency-based functions in smart grids
An immune system-inspired rescheduling algorithm for workflow in Cloud systems
CMAFGAN: A Cross-Modal Attention Fusion based Generative Adversarial Network for attribute word-to-face synthesis
Knowledge based-system for alternative design, cost estimating and scheduling
ARC-SL: Association rule-based classification with soft labels
Meta-features for meta-learning
Personalized information ordering: a case study in online recruitment
Model checking epistemic-probabilistic logic using probabilistic interpreted systems
Text classification using graph mining-based feature extraction
CEPTNER: Contrastive learning Enhanced Prototypical network for Two-stage few-shot Named Entity Recognition
Information supply for business processes: coupling workflow with document analysis and information retrieval
Structural complementary hypergraph defense framework against adversarial attacks
An fMRI visual neural encoding method with multimodal large language model
KnowBug: Enhancing Large language models with bug report knowledge for deep learning framework bug prediction
Rich document representation and classification: An analysis
Synchronization of multiple reaction-diffusion memristive neural networks with known or unknown parameters and switching topologies
KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis
Empirical mode decomposition with multivariable time series feature learning for QoS prediction
Towards multimodal sarcasm detection via label-aware graph contrastive learning with back-translation augmentation
Graph Barlow Twins: A self-supervised representation learning framework for graphs
Model checking communicative agent-based systems
Forward backward similarity search in knowledge networks
Pattern set mining with schema-based constraint
Pre-large based high utility pattern mining for transaction insertions in incremental database
An efficient contradiction separation based automated deduction algorithm for enhancing reasoning capability
Perceptual approach to picture interpretation
Industrial challenges in managing product development knowledge
DSMT-1DCNN: Densely supervised multitask 1DCNN for fault diagnosis
Integrating a Bayesian semantic similarity approach into CBR for knowledge reuse in Community Question Answering
Knowledge and emotion dual-driven method for crowd evacuation
Logistic regression, neural networks and Dempster-Shafer theory: A new perspective
The efficient estimation of missing information in causal inverted multiway trees
Generalised tensor-based hypergraph attention network
Focused crawling enhanced by CBP-SLC
Hybrid Firefly Optimised Ensemble Classification for Drifting Data Streams with Imbalance
An end-to-end Graph Convolutional Network for Semi-supervised Subspace Clustering via label self-expressiveness
Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST)
Semantic Web technologies for generating feedback in online assessment environments
PTMB: An online satellite task scheduling framework based on pre-trained Markov decision process for multi-task scenario
Agent-DA: Enhancing low-resource event extraction with collaborative multi-agent data augmentation
Parallel multi-agent real-coded genetic algorithm for large-scale black-box single-objective optimisation
Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets
Case-based reasoning is a methodology not a technology
Enriching semantic knowledge bases for opinion mining in big data applications
TA-OEM : Multimodal sentiment analysis using two-step hierarchical attention and self-supervised label generation
Multi-class imbalanced big data classification on Spark
Identifying items for moderation in a peer assessment framework
A traffic anomaly detection approach based on unsupervised learning for industrial cyber-physical system
SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations
Dynamic warping as a sensor reconstruction method for remaining useful life estimation
All you need is two domains: Unified RGB-Wavelet transformer for visual representation learning
Geo-FuB: A method for constructing an Operator-Function knowledge base for geospatial code generation with large language models
Video Generalized Semantic Segmentation via Non-Salient Feature Reasoning and Consistency
Design sketches and sketch design tools
CSAL: Cost sensitive active learning for multi-source drifting stream
Semantics perception and refinement network for aspect-based sentiment analysis
Adaptive weighted multi-teacher distillation for efficient medical imaging segmentation with limited data
Enhancing knowledge tracing with concept map and response disentanglement
Generating attentive goals for prioritized hindsight reinforcement learning
Using knowledge of misunderstandings to increase the robustness of spoken dialogue systems
Analysis of the k-means algorithm in the case of data points occurring on the border of two or more clusters
FedGA: A greedy approach to enhance federated learning with Non-IID data
Graph reduction implementation of a production system
Incremental concept-cognitive learning approach for concept classification oriented to weighted fuzzy concepts
ViT-CapsNet: Implementing a smart agricultural management framework using region ViT-based residual adaptive CapsNet
CyMoDiff: Dimensional cycle diffusion for unsupervised 2D-to-3D motion retargeting
Multiclass piecewise-linear SVMs with the restricted feasible region for the reinforcement degrees in constructing large-scale structures
MOAMP-Tabu search and NSGA-II for a real Bi-objective scheduling-routing problem
A Data Mining methodology for cross-sales
Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning
Use of maximum entropy method as a methodology for probabilistic reasoning
THINK: A novel conversation model for generating grammatically correct and coherent responses
A representation of complex events and processes for the acquisition of knowledge from texts
Edge-guided oceanic scene element detection
A deep learning framework for feature selection and dimensional analysis: Variational explainable neural networks
Boosting instance selection algorithms
Strategic knowledge in design: a compositional approach
Multi-fidelity information fusion with hierarchical surrogate guided by feature mapping
An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems
A prediction-based online soft scheduling algorithm for the real-world steelmaking-continuous casting production
Knowledge-driven prototype refinement for few-shot fine-grained recognition
IEDC: An integrated approach for overlapping and non-overlapping community detection
Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection
Loose-to-strict Markov blanket learning algorithm for feature selection
Sparse flow adversarial model for robust image compression
MGC-Net: Learning feature matching with multi-geometry cooperation
Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions
Contrastive clustering based on generalized bias-variance decomposition
Feature selection via enhanced rough hypercuboid approach with overlap degree and distance measure
Some hesitant interval-valued fuzzy aggregation operators and their applications to multiple attribute decision making
Domain-invariant prompt learning with fine-grained interaction for cross-domain remote sensing scene classification
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification
An effective DDoS attack mitigation strategy for IoT using an optimization-based adaptive security model
Attribute imputation autoencoders for attribute-missing graphs
Language-Guided Change Detection for high-resolution remote sensing imagery with limited labelled data
Community detection for weighted bipartite networks
New label noise injection methods for the evaluation of noise filters
Improving Tree augmented Naive Bayes for class probability estimation
StegaGaussian: High-fidelity steganography for 3D Gaussian splatting based on frequency decomposition
Deep Flexible Structured Spatial-Temporal Model for Taxi Capacity Prediction
Controlled consistent diffusion network for long-tail trajectory generation
A goal-driven software product line approach for evolving multi-agent systems in the Internet of Things
Improving the search accuracy of differential evolution by using the number of consecutive unsuccessful updates
One-Class Support Tensor Machine
Co-space Representation Interaction Network for multimodal sentiment analysis