yusuke1997/dblp-id-title huggingface dataset:
Service recommendation based on quotient space granularity analysis and covering algorithm on Spark
ETINE: Enhanced Textual Information Network Embedding
Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees
Research on auto-reasoning process planning using a knowledge based semantic net
HOMDA: High-Order Moment-Based Domain Alignment for unsupervised domain adaptation
LLM-DiffAug: Enhancing few-shot object detection via LLM-Guided diffusion augmentation
CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation
An improved Jaya algorithm for solving the flexible job shop scheduling problem with transportation and setup times
Semi-supervised learning based on nearest neighbor rule and cut edges
Toward cognitive support for OWL justifications
Reachability trees for Petri nets: a heuristic approach
Predicting time and location of future crimes with recommendation methods
Monocular-GPS Fusion 3D object detection for UAVs
Conceptual modelling: an essential pillar for quality software development
Data-driven internal mobility: Similarity regularization gets the job done
A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0
Proteus: Visuospatial analogy in problem-solving
A two-stage sign language generation framework with self-supervised latent representation learning
Advancing SVM classification: Parallelizing conjugate gradient for monotonicity enforcement
Low-rank tensor based smooth representation learning for multi-view unsupervised feature selection
A novel quantitative relationship neural network for explainable cognitive diagnosis model
Using the FOCUS architecture for developing knowledge-based front ends: a KBFE for forecasting
A segmented motion synthesis method for robotic task-oriented locomotion imitation system
Efficient cluster-guided key timestamp discovery for temporal knowledge graph completion
MapReduce based improved quick reduct algorithm with granular refinement using vertical partitioning scheme
On representation of fuzzy measures for learning Choquet and Sugeno integrals
An entropy-based query expansion approach for learning researchers' dynamic information needs
A new multi-source Transfer Learning method based on Two-stage Weighted Fusion
Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning
Chinese text classification by the Naïve Bayes Classifier and the associative classifier with multiple confidence threshold values
KGTN: Knowledge Graph Transformer Network for explainable multi-category item recommendation
R 5 model for case-based reasoning
Data induced masking representation learning for face data analysis
A decoupled scene-equipment fusion method for power substation equipment detection
FLP-ID: Fuzzy-based link prediction in multiplex social networks using information diffusion perspective
FBFU-Net: Flow Branches Fusion U-Net for predicting flow fields around buildings
Hierarchical spatio-spectral fusion for hyperspectral image super resolution via sparse representation and pre-trained deep model
Using a novel clustered 3D-CNN model for improving crop future price prediction
Development of a group recommender application in a Social Network
MAGE: A semantics retaining K-anonymization method for mixed data
Event-guided object detection under spiking transmission
MDSE advisor: knowledge-based techniques applied to software design assessment
Texture-preserving multimodal fashion image editing with diffusion models
Processing online analytics with classification and association rule mining
OWAdapt: An adaptive loss function for deep learning using OWA operators
Cognitive pilot-aircraft interface for single-pilot operations
A Novel Three-way decision model with decision-theoretic rough sets using utility theory
Smooth Exploration System: A novel ease-of-use and specialized module for improving exploration of whale optimization algorithm
RL-VAEGAN: Adversarial defense for reinforcement learning agents via style transfer
Towards reliable online clickbait video detection: A content-agnostic approach
Low-light image enhancement with luminance duality
Hierarchical functional reasoning
SATR: Semantics-Aware Triadic Refinement network for referring image segmentation
Efficient processing of top k group skyline queries
Special Issue on Innovative techniques and applications of artificial intelligence
EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network
Pseudo-supervised contrastive learning with inter-class separability for generalized category discovery
Community reinforcement: An effective and efficient preprocessing method for accurate community detection
GMQL: A graphical multimedia query language
A capsule-vectored neural network for hyperspectral image classification
HireGC: Hierarchical inductive network representation learning via graph coarsening
Multi-view feature embedding via shared and specific structural contrastive learning
Hub-hub connections matter: Improving edge dropout to relieve over-smoothing in graph neural networks
Semi-supervised representation learning via dual autoencoders for domain adaptation
Improving local search for the weighted sum coloring problem using the branch-and-bound algorithm
Unsupervised feature selection with multi-subspace randomization and collaboration
A knowledge-based framework for emergency DSS
MABUSE: A margin optimization based feature subset selection algorithm using boosting principles
Comparison of neutrosophic approach to various deep learning models for sentiment analysis
Enhancing performance of transformer-based models in natural language understanding through word importance embedding
Effective transferred knowledge identified by bipartite graph for multiobjective multitasking optimization
Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations
Paper recommendation based on heterogeneous network embedding
An Adaptive system for single pilot operations triggered by human-machine system performance model
Business failure prediction based on two-stage selective ensemble with manifold learning algorithm and kernel-based fuzzy self-organizing map
roadscene2vec: A tool for extracting and embedding road scene-graphs
Mining maximal frequent patterns in a single graph using inexact matching
Learning compressive sampling via multiscale and steerable support value transform
AAAN: Anomaly Alignment in Attributed Networks
Knowledge-based cabin crew pattern generator
Tapas: enabling faithful data-to-text generation through task-adaptive pre-training with data alignment strategy
ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling
Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning
Evidential cognitive maps
Predicting individual retweet behavior by user similarity: A multi-task learning approach
Granular stochastic configuration networks for uncertain data modeling
Exposing unseen GAN-generated image using unsupervised domain adaptation
Efficient one-off clustering for personalized federated learning
Knowledge base question answering via path matching
Similarity and (α, β)-equalities of intuitionistic fuzzy choice functions based on triangular norms
Fine-grained personalized federated learning via transformer in the transformer framework
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing
An Improved Moth-Flame Optimization algorithm with hybrid search phase
Mining associative classification rules with stock trading data - A GA-based method
A framework for semi-supervised metric transfer learning on manifolds
Attribute reduction for multi-label learning with fuzzy rough set
A novel edge rewiring strategy for tuning structural properties in networks
An improved artificial bee colony and its application
Incremental updating approximations in dominance-based rough sets approach under the variation of the attribute set
Attention-guided dynamic multi-branch neural network for underwater image enhancement
A novel concept-cognitive learning method: A perspective from competences
A trust-aware recommendation method based on Pareto dominance and confidence concepts
Underwater image restoration via spatially adaptive polarization imaging and color correction
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
Malicious encrypted traffic detection method based on multi-granularity representation under data imbalance conditions
End-to-end recognition of slab identification numbers using a deep convolutional neural network
Hybrid neural conditional random fields for multi-view sequence labeling
Using geospatial business intelligence to support regional infrastructure governance
A new multi-process collaborative architecture for time series classification
An effective multi-objective metaheuristic for the support vector machine with feature selection
DSciSum: Detailed summarization of long scientific documents
GCNSLIM: Graph convolutional network with sparse linear methods for e-government service recommendation
Speech emotion recognition based on bi-directional acoustic-articulatory conversion
Merging open knowledge extracted from text with MERGILO
A deep-learning approach to mining conditions
An efficient continuous control perspective for reinforcement-learning-based sequential recommendation
Advances in artificial intelligence CIIAM 86: Proceedings of the 2nd International Conference on AI: Kogan Page Ltd., (1987) £40.00 325 pp ISBN 1-8509-1333-1
Multi-expert performance evaluation of healthcare institutions using an integrated intuitionistic fuzzy AHP&DEA methodology
Assignment of attribute weights with belief distributions for MADM under uncertainties
Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting
Subspace-constrained graph unlearning for forgetting high-risk compound-protein interactions
Multi-view clustering with privileged information based on probabilistic tensor factorization
Learning to utilize image second-order derivative information for crisp edge detection
A system for simulation, monitoring and diagnosis of controlled continuous processes with slow dynamics
A prospect theory-based three-way decision model
Crowd explicit sentiment analysis
A bivariate Bayesian method for interval-valued regression models
The Hiking Optimization Algorithm: A novel human-based metaheuristic approach
Learning and recommending treatments using electronic medical records
HADA: An automated tool for hardware dimensioning of AI applications
Dynamic label relaxation induced discriminative regression for multi-view multi-label classification
CatVRNN: Generating category texts via multi-task learning
A disentangled linguistic graph model for explainable aspect-based sentiment analysis
Guest editorial: Explainability of machine learning in methodologies and applications
Fractional-order comprehensive learning marine predators algorithm for global optimization and feature selection
Low-resource extraction with knowledge-aware pairwise prototype learning
A weighted twin support vector regression
An improved artificial immune recognition system with the opposite sign test for feature selection
A new class of generative classifiers based on staged tree models
Class-aware quantitative adversarial network: a novel partial-set transfer mechanism for cross-domain fault diagnosis of rotating machinery
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer
Granule structures, distances and measures in neighborhood systems
Deep learning fault diagnosis method based on global optimization GAN for unbalanced data
elBERto: Self-supervised commonsense learning for question answering
An efficient incremental method for generating equivalence groups of search results in information retrieval and queries
Towards a formal semantics of social influence
Hybrid decision tree
HELIOT: LLM-Based CDSS for adverse drug reaction management
Improving program comprehension by combining code understanding with comment understanding
Automatic computation of regions of interest by robust principal component analysis. Application to automatic dementia diagnosis
Semi-Supervised Federated Heterogeneous Transfer Learning
Towards unsupervised keyphrase extraction via an autoregressive approach
Registration-fusion binocular diffusion model: Exploring continuous fusion of unregistered hyperspectral and multispectral images
Variable neighborhood search with memory for a single-machine scheduling problem with periodic maintenance and sequence-dependent set-up times
Instance segmentation algorithm based on fine-grained feature perception and cross-path aggregation
A new fast search algorithm for exact k-nearest neighbors based on optimal triangle-inequality-based check strategy
Deep multi-level fusion network for multi-source image pixel-wise classification
Dual-graph regularized sparse robust adaptive concept factorization
On a novel ACO-Estimator and its application to the Target Motion Analysis problem
Revealing the role of node similarity and community merging in community detection
ST-A-PGCL: Spatiotemporal adaptive periodical graph contrastive learning for traffic prediction under real scenarios
Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases
Multi-stage interactive genetic algorithm for collaborative product customization
A novel classification model for cotton yarn quality based on trained neural network using genetic algorithm
Federated learning-based stacked Capsule Auto-encoder network with bidirectional gated recurrent unit for MVNO slicing mechanism in 6G networks
Exploring events and distributed representations of text in multi-document summarization
Multi-class intrusion detection system for in-vehicle networks using few-shot learning and convolutional anomaly transformer network
Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps
Multi-label emotion classification based on transfer information and external knowledge
A new ELECTRE-based decision-making framework with spherical fuzzy information for the implementation of autonomous vehicles project in Istanbul
Aligning local features from multi-view (ALFM): A hybrid self-Supervised framework for object detection via contextual distillation and global representation learning
Asymmetric game promotes the emergence of cooperation in dynamic networks
Integration techniques in intelligent operational management: a review
Individual fairness for local private graph neural network
A variable neighborhood search approach for cyclic bandwidth sum problem
Minority oversampling for imbalanced time series classification
Towards the optimality of service instance selection in mobile edge computing
Beyond outlier removal: Integrated ensemble matching for accurate image keypoint correspondence
Hierarchical progressive network for polarized image fusion based on significant polarization information
A prescriptive analytics framework for jointly optimizing retention incentives and targeting
A mapping-based tree similarity algorithm and its application to ontology alignment
Context boosting collaborative recommendations
An Adaptive Dual-channel Multi-modal graph neural network for few-shot learning
Knowledge-based association rule mining using AND-OR taxonomies
The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment
Mix-domain contrastive learning with Mamba generator for unpaired H&E-to-IHC stain translation
An efficient network intrusion detection model based on beta mixture models
Multinomial mixture model with feature selection for text clustering
GACRec: Generative adversarial contrastive learning for improved long-tail item recommendation
FBL-ET: A federated broad learning framework based on event trigger
Fish disease detection in aquaculture using pseudo hamiltonian neural network optimized with Philippine eagle optimization algorithm
Semantically-grounded construction of centroids for datasets with textual attributes
Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment
Knowledge-based Clustering Federated Learning for fault diagnosis in robotic assembly
Weakly supervised learning for image keypoint matching using graph convolutional networks
Explicit-implicit priori knowledge-based diffusion model for generative medical image segmentation
Why-not questions about spatial temporal top- k trajectory similarity search
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects
MNiST: A deep learning framework for multi-scale spatial feature modeling and cellular landscape decoding in spatial
Trustworthy advice
AGS: Transferable adversarial attack for person re-identification by adaptive gradient similarity attack
Inductive knowledge acquisition and induction methodologies
Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction
Weighted nearest neighbors feature selection
Anomaly detection method using center offset measurement based on leverage principle
Automatic adaptive synchronization (A 2 S): A demand-based automatic synchronization for distribution generators in islanding mode
A novel rule base representation and its inference method using the evidential reasoning approach
An integration method combining Rough Set Theory with formal concept analysis for personal investment portfolios
Video Deepfake classification using particle swarm optimization-based evolving ensemble models
Solving dynamic multi-objective problems with an evolutionary multi-directional search approach
Private-library-oriented code generation with large language models
Empowering particle swarm optimization algorithm using multi agents' capability: A holonic approach
Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data
Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation
The theory of pseudo-linear operators
Piecewise linear solution path for pinball twin support vector machine
Mining negative generalized knowledge from relational databases
Proof by Earnestness (PoE) to determine the authenticity of subjective information in blockchains - application in supply chain risk management
Lexical choice as pattern matching
CNN-LSTM and transfer learning models for malware classification based on opcodes and API calls
AAGCN: Adjacency-aware Graph Convolutional Network for person re-identification
Effectiveness measures in movement-based three-way decisions
An automated and Lightweight Recursive Kernel Optimized Network (LReKON) learning model for cervical cancer diagnosis
MKFTracker: An RGBT tracker via multimodal knowledge embedding and feature interaction
A flow-based three-dimensional collaborative decision-making model for supply-chain networks
Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model
Interpretable semantic textual similarity: Finding and explaining differences between sentences
2-Tuple linguistic harmonic operators and their applications in group decision making
DuaPIN: Auxiliary task enhanced dual path interaction network for civil court view generation
Statistically-driven generation of multidimensional analytical schemas from linked data
Integrated attention using entity type constraints and relation augmentation for distantly supervised relation extraction
An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information
Multi-class categorization of reasons behind mental disturbance in long texts
A new fuzzy multicriteria decision making approach: An application for European Quality Award assessment
Rule induction package launched to complement system development
Learning aspect-level complementarity for intent-aware complementary recommendation
Dual alignment feature embedding network for multi-omics data clustering
Heterogeneous graph collaborative representation learning for drug-related microbe prediction with attentive fusion and reciprocal distillation
Court to conversation: Tactical badminton analysis via computer vision and RAG-enhanced LLMs
DBDNet:Partial-to-partial point cloud registration with dual branches decoupling
A generalized Gilbert algorithm and an improved MIES for one-class support vector machine
A plug-and-play knowledge-enhanced module for medical reports generation
Scheduling railway freight cars
Entity understanding with hierarchical graph learning for enhanced text classification
Novel orthogonal based collaborative dictionary learning for efficient face recognition
Who to select: Identifying critical sources in social sensing
Coordinated LLM multi-agent systems for collaborative question-answer generation
A realistic model extraction attack against graph neural networks
Evolutionary multitasking fuzzy cognitive map learning
Bayesian Optimization based Score Fusion of Linguistic Approaches for Improving Legal Document Summarization
Periodformer: An efficient long-term time series forecasting method based on periodic attention
A new method to determine basic probability assignment from training data
XTime: A general rule-based method for time expression recognition and normalization
On the use of OBDDs in model-based diagnosis: An approach based on the partition of the model
Novel fuzzy rank discrimination measures for monotonic ordinal feature selection
A novel Internet of Medical Things framework for absorbing bioresorbable vascular scaffold towards healthcare monitoring based on improving YOLO paradigms
KALD: A Knowledge Augmented multi-contrastive learning model for low resource abusive Language Detection
Robust discriminative projection with dynamic graph regularization for feature extraction and classification
Adaptive kernel density-based anomaly detection for nonlinear systems
An Interval Type-2 Fuzzy multiple echelon supply chain model
Improving business process retrieval using categorization and multimodal search
Partial multi-label learning via three-way decision-based tri-training
A novel feature integration and entity boundary detection for named entity recognition in cybersecurity
Arithmetic Properties of Lacunary Sums of Binomial Coefficients
GoNIII: More Universal Quaternary Quadratic Forms
Cofinite Induced Subgraphs of Impartial Combinatorial Games: An Analysis of CIS-Nim
An Elementary Approach to Character Sums over Multiplicative Subgroups
On the Number of Primes for Which a Polynomial is Eisenstein
Integer Sets with Identical Representation Functions
Sum-Products Estimates with Several Sets and Applications
The Relative Sizes of Sumsets and Difference Sets
A Reverse Order Property of Correlation Measures of the Sum-of-Digits Function
A Congruence Property of Irreducible Laguerre Polynomials in Two Variables
On p-adic Properties of Some Fibonacci and Lucas Numbers
The Adjacency-Pell-Hurwitz Numbers
On a Conjecture Regarding Balancing With Powers of Fibonacci Numbers
An Upper Bound for Ramanujan Primes
On q-Analog of Wolstenholme Type Congruences for Multiple Harmonic Sums
The Finiteness Property for Shift Radix Systems With General Parameters
Motzkin Paths With a Restricted First Return Decomposition
The (Exponential) Bipartitional Polynomials and Polynomial Sequences of Trinomial Type: Part I
Non-Regularity of ⌊ α + logk n ⌋
Brun Meets Selmer
Geometric Progression-Free Sequences with Small Gaps II
On k-Lehmer Numbers
Algebraic Proof for the Geometric Structure of Sumsets
Variations on Narrow Dots-and-Boxes and Dots-and-Triangles
An Infinite Family of Recursive Formulas Generating Power Moments of Kloosterman Sums with Trace One Arguments: O(2n+1, 2r) Case
Images of C-Sets and Related Large Sets Under Nonhomogeneous Spectra
Prime Number Conjectures From the Shapiro Class Structure