yusuke1997/dblp-id-title huggingface dataset:
A regularized root-quartic mixture of experts for complex classification problems
Liver disease classification using optimized periodic implicit generative adversarial network
Exploring formal defeasible reasoning of large language models: A Chain-of-Thought approach
Preference evolution model based on Wechat-like interactions
Improving vision-language alignment with graph spiking hybrid networks
Efficient predefined time adaptive neural network for motor execution EEG signal classification based brain-computer interaction
Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler's laws of planetary motion
A hybrid real-valued negative selection algorithm with variable-sized detectors and the k-nearest neighbors algorithm
Competitive influence maximization considering inactive nodes and community homophily
OntoPlus: Text-driven ontology extension using ontology content, structure and co-occurrence information
Efficient k-edge connected component detection through an early merging and splitting strategy
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging
Transfer and zero-shot learning for scalable weed detection and classification in UAV images
On modeling and predicting popularity dynamics via integrating generative model and rich features
DPBRW-GGAN: Graph data generation based on biased random walk with differential privacy
Regularization-Adapted Anderson Acceleration for multi-agent reinforcement learning
Towards context-aware convolutional network for image restoration
Defending local poisoning attacks in multi-party learning via immune system
Revisiting model fairness via adversarial examples
ML-LQI: A multi-modal learning method for low-quality imbalanced modality data with interpretability
Interest-based real-time content recommendation in online social communities
Dual constraint based semi-supervised nonnegative matrix factorization for multi-view clustering
Knowledge-based system requirements
Automated detection of age-related macular degeneration using empirical mode decomposition
An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy
Depression diagnosis using gated spatiotemporal graph attention network optimized with augmented arithmetic optimization algorithm
Hybrid variational autoencoder for time series forecasting
PM 2.5 prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China
Feature-Enhanced Multimodal Interaction model for emotion recognition in conversation
HINChip: Heterogeneous Information Network Representation with Community Hierarchy Preserving
Unsupervised emotional state classification through physiological parameters for social robotics applications
Adaptive nested sampling for multi-subregion feature learning
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
Instance-level feature bias calibration learning for text-to-image person re-identification
Transformer-based descriptors with fine-grained region supervisions for visual place recognition
Aspect-based sentiment analysis via fusing multiple sources of textual knowledge
A decomposition-based multi-objective immune algorithm for feature selection in learning to rank
Generic metadata representation framework for social-based event detection, description, and linkage
Graph-based clustering of extracted paraphrases for labelling crime reports
Encoding words into Cloud models from interval-valued data via fuzzy statistics and membership function fitting
A modification of the k-means method for quasi-unsupervised learning
User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm
A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization
Analysis and control of manufacturing service collaboration networks failure under intentional attacks
Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesions
Adaptive community detection incorporating topology and content in social networks ✰
Learning to branch with Tree-aware Branching Transformers
Noise-free prototype guided representation calibration under label noise
The most active community search in large temporal graphs
Compressed image restoration via deep deblocker driven unified framework
Robust face recognition model based sample mining and loss functions
Visemble: A fast ensemble approach for time series classification with multiple visual representations
A weak supervision machine vision detection method based on artificial defect simulation
Generative label fused network for image-text matching
Curriculum meta-learning for zero-shot cross-lingual transfer
A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planning
Modelling expertise for structure elucidation in organic chemistry using Bayesian networks
WatchoutPed: A dataset and model for Vulnerable Pedestrian Anticipation in surveillance videos
Precision through progression: Empowering temporal knowledge graph reasoning with knowledge-guided chain of thought
Efficient algorithms for frequent pattern mining in many-task computing environments
Clustering by transmission learning from data density to label manifold with statistical diffusion
A new view to ring theory via soft union rings, ideals and bi-ideals
Bonferroni means with distance measures and the adequacy coefficient in entrepreneurial group theory
Anomal-E: A self-supervised network intrusion detection system based on graph neural networks
Two3-AnoECG: ECG anomaly detection with two-stream networks and two-stage training using two double-throw switches
DMSA-UNet: Dual Multi-Scale Attention makes UNet more strong for medical image segmentation
Clinical practice guidelines: A case study of combining OWL-S, OWL, and SWRL
Oblique predictive clustering trees
QAVAN: Query-answering approach for actionable numerical relationships over Knowledge Graphs
Federated Markov Logic Network for indoor activity recognition in Internet of Things
Learning hierarchical scene graph and contrastive learning for object goal navigation
Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis
Semi-automatic analysis of two-dimensional electrophoretic gels
Experimental explorations on short text topic mining between LDA and NMF based Schemes
Frequency Decoupling Enhancement and Mamba Depth Extraction-Based Feature Fusion in Transformer Hashing Image Retrieval
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition
An approach to developing computational supports for reciprocal tutoring
TPGN: A Time-Preference Gate Network for e-commerce purchase intention recognition
Ontology, esthetics and creativity at the crossroads in Information System design
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders
Modeling relation paths for knowledge base completion via joint adversarial training
The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches
Multi-robot consistent formation control based on novel leader-follower model and optimization motion planning approach
Self-supervised efficient sample weighting for multi-exit networks
The effect of feature selection on financial distress prediction
Global attention residual graph contrastive learning network-based mechanical fault diagnosis under multi-domain scenarios
Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients
Equalization ensemble for large scale highly imbalanced data classification
Pre-trained language models with domain knowledge for biomedical extractive summarization
CoreNet: Leveraging context-aware representations via MLP networks for CTR prediction
4G-VOS: Video Object Segmentation using guided context embedding
A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting
Modeling knowledge need awareness using the problematic situations elicited from questions and answers
Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation
A study on information granularity in formal concept analysis based on concept-bases
Uncertainty measurement for incomplete interval-valued information systems based on α-weak similarity
A new framework for collaborative filtering with p-moment-based similarity measure: Algorithm, optimization and application
Novel design of reward and epsilon-greedy decay strategy tailored for Q-learning in optimizing local mobile robot path planning
Disentangled progressive negative sampling for graph collaborative filtering recommendation
A unified approach to matching semantic data on the Web
Differential evolution with local information for neuro-fuzzy systems optimisation
Similar norm more transferable: Rethinking feature norms discrepancy in adversarial domain adaptation
MDGINet: Multi-frequency Dynamic Guidance and Interaction network for image denoising
Network reconstruction based on time series via memetic algorithm
Vector batch SOM algorithms for multi-view dissimilarity data
Energy assistants for prosumers to enable trading strategies on local electricity markets
Degradation-aware and color-corrected network for underwater image enhancement
Multi-network contrastive learning of visual representations
Adversarial event patch for Spiking Neural Networks
Hybrid models based on rough set classifiers for setting credit rating decision rules in the global banking industry
A heap-based algorithm with deeper exploitative feature for optimal allocations of distributed generations with feeder reconfiguration in power distribution networks
Modular neural networks for recursive collaborative forecasting in the service chain
DANTE: Dialog graph enhanced prompt learning for conversational question answering over KGs
Forecasting chaotic weather variables with echo state networks and a novel swing training approach
A multi-granularity facial aesthetic evaluation model based on image-text modality
Approximating web communities using subspace decomposition
A rule-based process model for cooperative software projects: Tailoring and testing a software process to be used on the Web
Using propensity scores to predict the kinases of unannotated phosphopeptides
MRAM: Multi-scale Regional Attribute-weighting via Meta-learning for Personalized Image Aesthetics Assessment
Corrigendum to "Link prediction in dynamic networks based on the attraction force between nodes" [Knowl.-Based Syst. 181 (2019) 104792]
Intelligent interface for interactive video
Deep alternating non-negative matrix factorisation
Multi-view learning with distinguishable feature fusion for rumor detection
Prediction of air compressor faults with feature fusion and machine learning
Enhancement of a multi-dialectal sentiment analysis system by the detection of the implied sarcastic features
GMM: A generalized mechanics model for identifying the importance of nodes in complex networks
A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification
Epileptic seizure detection in long-term EEG records using sparse rational decomposition and local Gabor binary patterns feature extraction
Distance-based measures of incoherence for pairwise comparisons
An innovative study of category incremental learning algorithms for arrhythmia detection
Locality sensitive discriminant matrixized learning machine
DualTaxoVec: Web user embedding and taxonomy generation
Link prediction by continuous spatiotemporal representation via neural differential equations
Integrating machine learning with knowledge acquisition through direct interaction with domain experts
Evolving multi-label fuzzy classifier with advanced robustness respecting human uncertainty
Expert systems lab course : P Schnupp, C T Nguyen and L W
FedMTL: Adaptive multi-teacher knowledge distillation for federated continual learning
A front-back view fusion strategy and a novel dataset for super tiny object detection in remote sensing imagery
Computing connected components of simple undirected graphs based on generalized rough sets
A novel Random Forest integrated model for imbalanced data classification problem
A hybrid approach using TOPSIS, Differential Evolution, and Tabu Search to find multiple solutions of constrained non-linear integer optimization problems
CT-SSSA: Malicious traffic augmentation based on classifier transGAN and spatial-channel synergistic self-attention
Towards counterfactual and contrastive explainability and transparency of DCNN image classifiers
ESQAD: A curriculum-aligned dataset for question answer generation in Spanish
Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion
ADCF: Attentive representation learning and deep collaborative filtering model
Requirements of a reasoning system that supports creative and innovative design activity
A winner effect based approach for multimodal review helpfulness prediction with deep learning algorithm
Bayesian network structure learning using scatter search
Current status of case-retrieval in engineering domains: an analysis from the knowledge engineering perspective
Optimistic Stackelberg solutions to bilevel linear programming with fuzzy random variable coefficients
Understanding knowledge architectures
Latent space alignment for robust detection of IoT botnet attacks in non-stationary environments
Robust support vector data description for outlier detection with noise or uncertain data
A large-group emergency risk decision method based on data mining of public attribute preferences
Open world out-of-distribution generalization via dream open and sustain close
Knowledge attention via radial basis functions for temporal knowledge graphs completion
Integration of evolutionary automated machine learning with structural sensitivity analysis for composite pipelines
BiMine+: An efficient algorithm for discovering relevant biclusters of DNA microarray data
Identifying potential synthesis cases in distributed expert systems: a fuzzy logic approach
Cross-language plagiarism detection over continuous-space- and knowledge graph-based representations of language
Fuzzy probabilistic rough sets and their corresponding three-way decisions
Integrating a consensus-reaching mechanism with bounded confidences into failure mode and effect analysis under incomplete context
A unified adaptive graph structure generation method for spatio-temporal graph forecasting
Imbalance: Oversampling algorithms for imbalanced classification in R
Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms
A robust iterative refinement clustering algorithm with smoothing search space
Health indicator construction for degradation assessment by embedded LSTM-CNN​ autoencoder and growing self-organized map
Training Lagrangian twin support vector regression via unconstrained convex minimization
Knowledge elicitation: principles, techniques and applications: Dan Diaper (ed) Ellis Horwood Ltd., UK (1989) £35, ISBN 0745804519, 270 pp
Analysis of training data using clustering to improve semi-supervised self-training
An overview of properties and extensions of FOBI
A multi-timescale smart grid energy management system based on adaptive dynamic programming and Multi-NN Fusion prediction method
XKanFuse: A novel cross-modal fusion method based on Kolmogorov-Arnold Network for multi-modal medical image fusion
Aspect-specific Parsimonious Segmentation via Attention-based Graph Convolutional Network for Aspect-Based Sentiment Analysis
An optimized Q-Learning algorithm for mobile robot local path planning
A solver of single-agent stochastic puzzle: A case study with Minesweeper
FFTFormer: A spatial-frequency noise aware CNN-Transformer for low light image enhancement
Enhancing pretrained language models with structured commonsense knowledge for textual inference
Smart train operation algorithms based on expert knowledge and ensemble CART for the electric locomotive
Negative pattern discovery with individual support
FedVOD: A two-stage video object detector training framework based on federated unsupervised learning and feature post-processing
Heterogeneous multiviews-based efficient graph contrastive learning model for short text classification
Collaborative ontology matching based on compact interactive evolutionary algorithm
Anchor concept: A conceptual model with an expandable boundary
MTdyg: Multi-scale transformers with continuous time dynamic graph model for link prediction
An improvement to swing techniques for elicitation in MCDM methods
A hybrid clustering technique combining a novel genetic algorithm with K-Means
Uncovering novel scientific insights with a synergistic GNN-LLM framework
CSIEC: A computer assisted English learning chatbot based on textual knowledge and reasoning
An attention-based deep learning method for solving the cold-start and sparsity issues of recommender systems
Determining membership functions and minimum fuzzy support in finding fuzzy association rules for classification problems
FEV-Swin: Multi-source heterogeneous information fusion under a variant swin transformer framework for intelligent cross-domain fault diagnosis
Understanding and comparing scalable Gaussian process regression for big data
Rolling bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network
FedCleanse: Cleanse the backdoor attacks in federated learning system
Unveiling the unseen potential of graph learning through MLPs: Effective graph learners using propagation-embracing MLPs
Structure regularized sparse coding for data representation
DS-Net: A model driven network framework for lesion segmentation on fundus image
Decision support in e-business based on assessing similarities between ontologies
New architecture of deep recursive convolution networks for super-resolution
CrumbTrail: An efficient methodology to reduce multiple inheritance in knowledge graphs
Attentive differential convolutional neural networks for crowd flow prediction
Efficient inference method for computing an optimal solution in predicate-logic hypothetical reasoning
Unifying multimodal interactions for rumor diffusion prediction with global hypergraph modeling
Graph node embedding by neighborhood prediction based on multiview contrastive learning
On facilitating knowledge transfer in software design
Face recognition using discriminant sparsity neighborhood preserving embedding
Exclusivity and consistency induced NMF for multi-view representation learning
AT-diff: An adversarial diffusion model for unrestricted adversarial examples generation
Consensus-based non-cooperative behaviors management in large-group emergency decision-making considering experts' trust relations and preference risks
Uncertainty-guided hierarchical frequency domain Transformer for image restoration
A novel consistency low-rank graph learning for multi-view clustering
Depth-adaptive graph neural architecture search for graph classification
Fast t-SNE algorithm with forest of balanced LSH trees and hybrid computation of repulsive forces
Building software agents for training systems: A case study on radiotherapy treatment planning
CrossTopoNet: A cross-attention framework on topological latent feature space for time-series forecasting
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals
A robust two-stage algorithm for local community detection
Multi-argument fuzzy measures on lattices of fuzzy sets
Multi-criterion decision making-based multi-channel hierarchical fusion of digital breast tomosynthesis and digital mammography for breast mass discrimination
Joint application of multi-object beetle antennae search algorithm and BAS-BP fuel cost forecast network on optimal active power dispatch problems
Ranked k-medoids: A fast and accurate rank-based partitioning algorithm for clustering large datasets
Quantum-inspired ant lion optimized hybrid k-means for cluster analysis and intrusion detection
Trigger is Non-central: Jointly event extraction via label-aware representations with multi-task learning
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
Logic-driven autoencoders
Question answering over spatio-temporal knowledge graph
Sequence-aware adaptive graph convolutional recurrent networks for traffic forecasting
Community detection based on a semantic network
Multi-Scale MLP-Mixer for image classification
Interactive relevance feedback mechanism for image retrieval using rough set
Generation of probabilistic synthetic data for serious games: A case study on cyberbullying
Pair-wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System
A scalable and robust trust-based nonnegative matrix factorization recommender using the alternating direction method
A knowledge-driven approach for automated fire safety compliance checking in operational buildings
IVC-DB: Iterative verification correction method guided by dual-Backward mathematical reasoning in large language models
Evolving malware detection through instant dynamic graph inverse reinforcement learning
HA-U3Net: A modality-agnostic framework for 3D medical image segmentation using nested V-Net structure and hybrid attention
Single image dehazing with an independent Detail-Recovery Network
CoT-driven framework for short text classification: Enhancing and transferring capabilities from large to smaller model
Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective
Ray-decomposed and gradient-constrained NeRF for few-shot view synthesis under low-light conditions
Multi-Agent Path Finding with heterogeneous edges and roundtrips
Fast density peak clustering for large scale data based on kNN
Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy
A dual drift compensation framework based on subspace learning and cross-domain adaptive extreme learning machine for gas sensors
Understanding the loss landscape of one-hidden-layer ReLU networks
A Web Service trust evaluation model based on small-world networks
Domain adaptation with contrastive and adversarial oriented transferable semantic augmentation
Detection based visual tracking with convolutional neural network
A multiple-instance stream learning framework for adaptive document categorization
Towards cross-silo federated learning for corporate organizations
A safe sample screening rule for Universum support vector machines
Response selection from unstructured documents for human-computer conversation systems
Boosting semi-supervised regressor via confidence-weighted consistency regularization
Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method
FreeNet: An efficient frequency-domain early exiting network for dynamic inference
Customizing SVM as a base learner with AdaBoost ensemble to learn from multi-class problems: A hybrid approach AdaBoost-MSVM
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction
Selecting feature subset with sparsity and low redundancy for unsupervised learning
Trust based group decision making in environments with extreme uncertainty
Multi-Agent Genetic Algorithm for Bayesian networks structural learning
Intelligent human interface based on mental cloning-based software
Teacher privileged distillation: How to deal with imperfect teachers?
Leveraging temporal validity of rules via LLMs for enhanced temporal knowledge graph reasoning
A two-phase fuzzy approach for solving multi-level decision-making problems
Pseudo-kNN-MT: Enhancing domain adaptability of neural machine translation via target language data