yusuke1997/dblp-id-title huggingface dataset:
A heterogeneous federated learning framework for human activity recognition
Balancing accuracy, complexity and interpretability in consumer credit decision making: A C-TOPSIS classification approach
Consistency-based semi-supervised learning for oriented object detection
UrduHope: Analysis of hope and hopelessness in Urdu texts
ImNext: Irregular Interval Attention and Multi-task Learning for Next POI Recommendation
Learning reliable modal weight with transformer for robust RGBT tracking
Design of data-driven mode-free iterative learning controller based higher order parameter estimation for multi-agent systems consistency tracking
RainbowArena: A multi-agent toolkit for reinforcement learning and large language models in tabletop games
Gradient-enhanced high dimensional model representation via Bayesian inference
A survey of multiple types of text summarization with their satellite contents based on swarm intelligence optimization algorithms
An adaptive switching-based evolutionary algorithm for many-objective optimization
EEG-based classification of normal and seizure types using relaxed local neighbour difference pattern and artificial neural network
Interdependence analysis on heterogeneous data via behavior interior dimensions
Detecting dynamic community by fusing network embedding and nonnegative matrix factorization
Optimal tree-clustering energy-efficient algorithm for secure data transmission in WSNs
A divide and conquer framework for Knowledge Editing
MGAN-LD: A sparse label propagation-based anomaly detection approach using multi-generative adversarial networks
STID-Prompt: Prompt learning for sentiment-topic-importance detection in financial news
Self-supervised dual graph learning for recommendation
Multi-frame super-resolution of remote sensing images using attention-based GAN models
Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions
A hybrid federated kernel regularized least squares algorithm
Information aggregation and fusion in deep neural networks for object interaction exploration for semantic segmentation
A micro-view-based data mining approach to diagnose the aging status of heating coils
Metacognitive symbolic distillation framework for multi-choice machine reading comprehension
LSTM-SNP: A long short-term memory model inspired from spiking neural P systems
A dynamically interactable framework with dual-channel security: GAN-based speech steganography for concealed dialogues
Knowledge base population using semantic label propagation
An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability
Modeling user micro-behaviors and original interest via Adaptive Multi-Attention Network for session-based recommendation
Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation
Two-stage sand-dust image enhancement method based on concentration scaling and domain adaptation
A quantitative argumentation-based Automated eXplainable Decision System for fake news detection on social media
Learning opposite prompts for weakly supervised video anomaly detection
Next-point-of-interest recommendation based on joint mining of regularity and randomness
Improved dynamic adaptive ant colony optimization algorithm to solve pipe routing design
An improved arithmetic optimization algorithm for training feedforward neural networks under dynamic environments
A new approach for crop type mapping in satellite images using hybrid deep capsule auto encoder
VisualBib: A novel Web app for supporting researchers in the creation, visualization and sharing of bibliographies
Incremental multi-view spectral clustering
Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm
Comment on "DSKmeans: A new kmeans-type approach to discriminative subspace clustering" by X. Huang et al. [Knowledge-Based Systems, Vol. 70 pp. 293-300, 2014]
Incremental approaches for updating reducts in dynamic covering information systems
Hands-on representations in a two-dimensional space for early stages of design
Spatiotemporal graph structure similarity evaluation for pure zero-shot anomaly detection tasks
WCMamba: Enhancing high-resolution remote sensing image semantic segmentation with pyramid wavelet convolution and SS2D
CSMC: A combination strategy for multi-class classification based on multiple association rules
Sparse smooth group L0∘L1/2 regularization method for convolutional neural networks
Exploring incomplete decoupling modeling with window and cross-window mechanism for skeleton-based action recognition
GBGCN: Adaptive granular-ball graph representation and clarity-aware GCN for multi-focus image fusion
A dual-branch joint learning network for underwater object detection
Natural Language Processing for systems engineering: Automatic generation of Systems Modelling Language diagrams
CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation
A novel approach for demand estimation under a flexible mixed logit model
A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning
Hybrid deep learning model for automated colorectal cancer detection using local and global feature extraction
Scene-intra deep mining via shifted instance refinement for weakly supervised person search
LaF-transformer: Leveraging coupling text-graph embedding for semantic calibration in textual entailment
Extracting geographic features from the Internet: A geographic information mining framework
Sentence representation with manifold learning for biomedical texts
MCT-Net: Multi-hierarchical cross transformer for hyperspectral and multispectral image fusion
Contextual visual and motion salient fusion framework for action recognition in dark environments
SelFLoc: Selective feature fusion for large-scale point cloud-based place recognition
DPGS: Cross-cooperation guided dynamic points generation for scene text spotting
MEdit4CEP: A model-driven solution for real-time decision making in SOA 2.0
Distributed clustering under local differential privacy
A robust quadruple adaptation network in few-shot scenarios
Self-supervised EEG denoising via dual-branch consistency learning with masked reconstruction
Multilingual aspect clustering for sentiment analysis
Breakthrough AI training system
Adversarial gradient-based meta learning with metric-based test
Optimized skill knowledge transfer model using hybrid Chicken Swarm plus Deer Hunting Optimization for human to robot interaction
Computing semantic relatedness using Wikipedia features
Blind image quality assessment for in-the-wild images by integrating distorted patch selection and multi-scale-and-granularity fusion
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm
WTC-iPST: A deep learning framework for short-term electric load forecasting with multi-scale feature extraction
Planetary gearbox fault feature learning using conditional variational neural networks under noise environment
Experiment on sentiment embedded comparison interface
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
User-centered approach to adaptive interfaces
Enhanced toolset includes event-driven inferencing
Layered Relative Entropy Policy Search
A new weighting k -means type clustering framework with an l 2 -norm regularization
Frame Semantics guided network for Abstractive Sentence Summarization
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
Learning the evolution of disciplines from scientific literature: A functional clustering approach to normalized keyword count trajectories
Revealing the structure of prediction models through feature interaction detection
Relation between concept lattice reduction and rough set reduction
An artificial intelligence tool for heterogeneous team formation in the classroom
Granular Fuzzy Possibilistic C-Means Clustering approach to DNA microarray problem
Online adaptive decision trees based on concentration inequalities
Fuzzy rule-based oversampling technique for imbalanced and incomplete data learning
SparseLight: Dynamic gradient-optimized softmax for efficient transformer acceleration
An augmented Lagrangian relaxation method for the mean-standard deviation based vehicle routing problem
Joint contrastive self-supervised learning and weak-orthogonal product quantization for fast image retrieval
Utilizing user tag-based interests in recommender systems for social resource sharing websites
FSMamba: A dual-expert architecture with fast global attention and local-enhanced state-space mamba for time series forecasting
A condense-then-select strategy for text summarization
The random subspace binary logit (RSBL) model for bankruptcy prediction
Quadruple strategy-driven hiking optimization algorithm for low and high-dimensional feature selection and real-world skin cancer classification
A Flat Tree-based Transformer for Nested Named Entity Recognition
MSTVI: Multi-Scale Time-Variable Interaction for multivariate time series forecasting
Mining non-redundant distinguishing subsequence for trip destination forecasting
Towards an efficient rule-based framework for legal reasoning
An analysis on the inference guiding strategies--The benefits and costs
Adaptive sparsity-regularized deep dictionary learning based on lifted proximal operator machine
Discourse processing for context question answering based on linguistic knowledge
Knowledge Augmented Dialogue Generation with Divergent Facts Selection
Near real-time topic-driven rumor detection in source microblogs
Subspace clustering via adaptive least square regression with smooth affinities
Interactive programming approach for solving the fully fuzzy bilevel linear programming problem
Fully Bayesian differential Gaussian processes through stochastic differential equations
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification
Strategic induction of decision trees
An Invertebrate Semantic/Software Application Development Framework for knowledge-based systems
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals
Dynamic customer lifetime value prediction using longitudinal data: An improved multiple kernel SVR approach
An improved mix framework for opinion leader identification in online learning communities
Automating the design and development of gradient descent trained expert system networks
New fruit fly optimization algorithm with joint search strategies for function optimization problems
April-GCN: Adjacency Position-velocity Relationship Interaction Learning GCN for Human motion prediction
Iconic pictorial retrieval using multiple attributes and spatial relationships
Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach
A self-explanatory contrastive logical knowledge learning method for sentiment analysis
Interpreting anaphors in natural language texts: David Carter Ellis Horwood Ltd., UK (1987) £39.50, ISBN 0-7458-0250-8, 292 pp
KDRank: Knowledge-driven user-aware POI recommendation
Fast stochastic configuration network based on an improved sparrow search algorithm for fire flame recognition
Transfer learning-based thermal error prediction and control with deep residual LSTM network
Facilitating DL-based hybrid reasoning with inference fusion
MRI reconstruction based on Bayesian piecewise sparsity constraint and adaptive 3D transform
Label correlation embedding guided network for multi-label ECG arrhythmia diagnosis
CMRVAE: Contrastive margin-restrained variational auto-encoder for class-separated domain adaptation in cardiac segmentation
Parallel-serial architecture with instance correlation label-specific features for multi-label learning
Bridge to better understanding: Syntax extension with virtual linking-phrase for natural language inference
Random ensemble of fuzzy rule-based models
A database architecture for reusable CommonKADS agent specification components
Is cross-linguistic advert flaw detection in Wikipedia feasible? A multilingual-BERT-based transfer learning approach
Algorithms and application in decision-making for the finest splitting of a set of formulae
Time efficient reconciliation of mappings in dynamic web ontologies
PHO-HGNN: Hypergraph neural network based on persistent homology optimization for class-imbalanced intrusion detection
Robust active contours driven by order-statistic filtering energy for fast image segmentation
Group decision making with intuitionistic fuzzy preference relations
A memory network based end-to-end personalized task-oriented dialogue generation
Error-robust low-rank tensor approximation for multi-view clustering
Program design for knowledge-based systems: Graham WinstanleySigma Press, UK (1987) £12.95, ISBN 1 85058 066 9, 230pp
A simple two-stage evolutionary algorithm for constrained multi-objective optimization
Stochastic quantized control for memristive neural networks with mixed semi-Markov jump and sampled-data communications using a novel approach
Fully fine-tuned CLIP models are efficient few-shot learners
KG-FedCGNN: federated cross-user graph neural networks for reliable recommendations via knowledge graph enhancement
Towards Unsupervised Referring Expression Comprehension with Visual Semantic Parsing
Meta-modeling framework: A new approach to manage meta-modelbase and modeling knowledge
Normal wiggly hesitant fuzzy sets and their application to environmental quality evaluation
User group-enhanced user feature distribution transfer framework for non-overlapping cross-domain recommendations
A comprehensive review of LLM-based content moderation: advancements, challenges, and future directions
Node importance estimation leveraging LLMs for semantic augmentation in knowledge graphs
Trajectory analysis for user verification and recognition
Collaborator recommendation in interdisciplinary computer science using degrees of collaborative forces, temporal evolution of research interest, and comparative seniority status
A classification framework for multivariate compositional data with Dirichlet feature embedding
Community-oriented attributed network embedding
AI-generated content in cross-domain applications: Research trends, challenges and propositions
SOPHIA-TCBR: A knowledge discovery framework for textual case-based reasoning
Cascaded matching based on detection box area for multi-object tracking
Clustering dynamic networks by discriminating roles of vertices and capturing temporality with subsequent feature projection
MVC - a preprocessing method to deal with missing values
Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction
Fuzzy rule-based demand forecasting for dynamic pricing of a maritime company
Convergence analysis of the human mental search algorithm by a Markov model
Towards the spatial analysis of motorway safety in the connected environment by using explainable deep learning
A novel probabilistic feature selection method for text classification
Relational reasoning image captioning via multi-agent retrieval-augmented generation
TBox learning from incomplete data by inference in BelNet +
Iterative Feature eXclusion (IFX): Mitigating feature starvation in gradient boosted decision trees
Convolution-layer parameters optimization in Convolutional Neural Networks
Mining large samples of web-based corpora
Differential evolution-driven traffic light scheduling for vehicle-pedestrian mixed-flow networks
Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems
Interpretable machine learning for (n,p) reaction cross-sections: A bayesian-optimized neural network approach
BEAUT: An ExplainaBle Deep LEarning Model for Agent-Based PopUlations With Poor DaTa
A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets
Capturing perceptual expertise: a sound equalization expert system
Detecting prohibited objects with physical size constraint from cluttered X-ray baggage images
A multi-objective evolutionary approach to training set selection for support vector machine
FedRDA: Federated learning with representation decoupling and divergence-aware aggregation
Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering
Evaluation of process technologies for sustainable mining using interval rough number based heronian and power averaging functions
Improving conversational recommender systems via multi-preference modelling and knowledge-enhanced
Double bayesian pairwise learning for one-class collaborative filtering
CCMnet: A cluster-level contrastive cross-domain framework for GIS insulation defects diagnosis
Knowledge-based instance selection: A compromise between efficiency and versatility
Improving Recall of software defect prediction models using association mining
MC-GEN: Multi-level clustering for private synthetic data generation
Optical microscope algorithm: A new metaheuristic inspired by microscope magnification for solving engineering optimization problems
Algorithm for detecting anomalous hosts based on group activity evolution
Sentiment analysis of player chat messaging in the video game StarCraft 2: Extending a lexicon-based model
Online learning discriminative sparse convolution networks for robust UAV object tracking
McMatMHKS: A direct multi-class matrixized learning machine
Evidential reasoning approach with multiple kinds of attributes and entropy-based weight assignment
Target-guided dialog generation with dynamic knowledge path by commonsense knowledge graph and relation prediction
Entity alignment based on relational semantics augmentation for multilingual knowledge graphs
Assembly sequence planning using case-based reasoning techniques
Resource allocation in communication networks using market-based agents
Measuring enterprise IT capability: A total IT capability perspective
Staged query graph generation based on answer type for question answering over knowledge base
Self-supervised network compression based on quantum mutual information for fast change detection
Learning to improve persona consistency in conversation generation with information augmentation
Knowledge transfer-based distributed differential evolution for dynamic database fragmentation
Approximate and Memorize (A&M) : Settling opposing views in replay-based continuous unsupervised domain adaptation
A plate-tectonics based neighborhood search optimizer and its application for fault monitoring in IoT systems
Uncertainty quantification for operators in online reinforcement learning
A decision support system for automated identification of sleep stages from single-channel EEG signals
Building an open-source collaborative platform for migration research: A metadata modeling approach using XML
Mining node attributes for link prediction with a non-negative matrix factorization-based approach
A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading
Bidirectional alignment text-embeddings with decoupled contrastive for sequential recommendation
Two-sided matching model for complex product manufacturing tasks based on dual hesitant fuzzy preference information
Detecting maximum k -durable structures on temporal graphs
MHaDiG : A Multilingual Humor-aided Multiparty Dialogue Generation in multimodal conversational setting
PubMed smarter: Query expansion with implicit words based on gene ontology
Hierarchical Social Similarity-guided Model with Dual-mode Attention for session-based recommendation
Item recommendation in collaborative tagging systems via heuristic data fusion
Interpretable neural networks based on continuous-valued logic and multicriteria decision operators
A CNN-based fault diagnosis method of multi-function integrated RF system using frequency domain scanning with Lasso regression
Fractional-order calculus-based flower pollination algorithm with local search for global optimization and image segmentation
Multimodal image generation and fusion through content-style hybrid disentanglement
One-stage self-supervised momentum contrastive learning network for open-set cross-domain fault diagnosis
Graph convolutional networks with multi-level coarsening for graph classification
HAR-SI: A novel hybrid article recommendation approach integrating with social information in scientific social network
Decoupled signed link prediction method based on graph neural network
Bridging context and knowledge graph: A semantic-enhanced framework for conversational recommendation systems
RDBN: Visual relationship detection with inaccurate RGB-D images
A Petri net model for changing units of learning in runtime
Temporal context-aware task recommendation in crowdsourcing systems
Estimating term domain relevance through term frequency, disjoint corpora frequency - tf-dcf
Multi-domain gate and interactive dual attention for multi-domain dialogue state tracking
A concurrent dynamic logic of knowledge, belief and certainty for multi-agent systems
Optimal contracts for the agency problem with multiple uncertain information
Multi-objective evolutionary algorithm for optimizing the partial area under the ROC curve
Let's browse: a collaborative browsing agent
Handling advanced scheduling heuristics under a hardware compiler generation environment
EGFDA: Experience-guided Fine-grained Domain Adaptation for cross-domain pneumonia diagnosis
Predict high-frequency trading marker via manifold learning
Multi-objective differential evolution with dynamic covariance matrix learning for multi-objective optimization problems with variable linkages
Posterior probability model for stock return prediction based on analyst's recommendation behavior
Inclusion measure-based multi-granulation intuitionistic fuzzy decision-theoretic rough sets and their application to ISSA
TECM: Transfer learning-based evidential c-means clustering
Personalized sentiment classification of customer reviews via an interactive attributes attention model
Optimized compressed sensing for communication efficient federated learning
Generalizing identity-based string comparison metrics: Framework and techniques
CSCLN-DDTE: Cross subject contrastive learning network with domain diversity and templates enhancement for SSVEP-BCI frequency recognition
Fine-grained recognition of citrus varieties via wavelet channel attention network
Compact geometric representation of qualitative directional knowledge
Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints
ATDA: Attentional temporal dynamic activation for speech emotion recognition
Multimodal user interfaces in the Open Agent Architecture
Multi-fault classification based on support vector machine trained by chaos particle swarm optimization
Product aspect extraction supervised with online domain knowledge
KVL-BERT: Knowledge Enhanced Visual-and-Linguistic BERT for visual commonsense reasoning
Scalable multi-task Gaussian processes with neural embedding of coregionalization
How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding?
Reference-based infrared image colorization via feature enhancement and context refinement
Trust-inspiring explanation interfaces for recommender systems
Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences
Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems
PDbDa: Prompt-tuned dual-branch framework for unsupervised domain adaptation
Learnable mixture distribution prior for image denoising
Towards intelligent landslide susceptibility evaluation: Knowledge extraction and rule mining
Rule extraction from support vector machines based on consistent region covering reduction