yusuke1997/dblp-id-title huggingface dataset:
Hyper-ellipsoidal clustering technique for evolving data stream
An efficient differential evolution algorithm based on orthogonal learning and elites local search mechanisms for numerical optimization
Observer-based state estimation for memristive neural networks with time-varying delay
A theoretical development on the entropy of interval-valued fuzzy sets based on the intuitionistic distance and its relationship with similarity measure
Bridging stability and utility in synthetic tabular data: The sTableGAN model
Refining graph representation: Hyperbolic cross-space diffusion for hierarchical structure preservation
Wavelet-pixel domain progressive fusion network for underwater image enhancement
ESSE: an expert system for software evaluation
Dynamic non-parametric joint sentiment topic mixture model
Deep Heterogeneous Network for Temporal Set Prediction
Subspace clustering by simultaneously feature selection and similarity learning
Clusterer ensemble
Privacy-preserving kriging interpolation on partitioned data
Road safety risk evaluation by means of ordered weighted averaging operators and expert knowledge
MIFINN: A novel multi-information fusion and interaction neural network for aspect-based sentiment analysis
Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution
Optimizing energy-efficient cluster head selection in wireless sensor networks using a binarized spiking neural network and honey badger algorithm
Optimizing intrinsic representation for tracking
Weighted adversarial learning with wavelet kernels and large margin networks for the cross-domain fault diagnosis of rolling bearings under a class imbalance
Competence guided incremental footprint-based retrieval
Modelling affective-based music compositional intelligence with the aid of ANS analyses
Multi-modal advanced deep learning architectures for breast cancer survival prediction
Boolean matrix factorization with background knowledge
GenerativeMTD: A deep synthetic data generation framework for small datasets
Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL
Iterative constraint score based on hypothesis margin for semi-supervised feature selection
Ambiguous D-means fusion clustering algorithm based on ambiguous set theory: Special application in clustering of CT scan images of COVID-19
Metaheuristic algorithm for anomaly detection in Internet of Things leveraging on a neural-driven multiagent system
Robust classification of biological samples in atomic force microscopy images via multiple filtering cooperation
Knowledge discovery from numerical data
Genetic fuzzy markup language for game of NoGo
Feature selection using dynamic weights for classification
Self-taught cross-domain few-shot learning with weakly supervised object localization and task-decomposition
A unified model of data uncertainty and data relation uncertainty
Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows model
Transfer of resource allocation between overlapping and embedded communities in multiagent social networks
Using relation selection to improve value propagation in a ConceptNet-based sentiment dictionary
QLogicE: Quantum Logic Empowered Embedding for Knowledge Graph Completion
MDCNet: Long-term time series forecasting with mode decomposition and 2D convolution
Improved pseudo nearest neighbor classification
A modified single-objective genetic algorithm for solving the rural postman problem with load-dependent costs
A hybrid particle swarm optimization approach for clustering and classification of datasets
Spatio-temporal deep learning for improved face presentation attack detection
Fuzzy interpretation of efficiency in data envelopment analysis and its application in a non-discretionary model
Weighted discriminative sparsity preserving embedding for face recognition
An effective gbest-guided gravitational search algorithm for real-parameter optimization and its application in training of feedforward neural networks
Predicting lncRNA-miRNA interactions based on logistic matrix factorization with neighborhood regularized
Label propagation-based approach for detecting review spammer groups on e-commerce websites
Attribute reduction based on neighborhood constrained fuzzy rough sets
Robust unsupervised feature selection via dual self-representation and manifold regularization
CMNet: Classification-oriented multi-task network for hyperspectral pansharpening
Multi knowledge based rough approximations and applications
A low-cost screening method for the detection of the carotid artery diseases
Multi-task prediction method of business process based on BERT and Transfer Learning
Neuro-fuzzy modelling in support of knowledge management in social regulation of access to cigarettes by minors
CT-IC: Continuously activated and Time-restricted Independent Cascade model for viral marketing
Data clustering with size constraints
The organisational impact of knowledge-based systems: a knowledge perspective
Interactive double states emotion cell model for textual dialogue emotion prediction
Time enhanced graph neural networks for session-based recommendation
A deep embedded clustering approach for detecting trend class using time-series sensor data
Hamshahri: A standard Persian text collection
Global-and-Local sampling for efficient hybrid task self-supervised learning
A visual tracking algorithm based on context constraint and aberration suppression
Approaches for credit scorecard calibration: An empirical analysis
Creativity, emergence and evolution in design
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models
FairBoost: Boosting supervised learning for learning on multiple sensitive features
A learning automata-based hybrid MPA and JS algorithm for numerical optimization problems and its application on data clustering
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks
Harmful algal bloom warning based on machine learning in maritime site monitoring
P-EVFL: Efficient verifiable federated learning with privacy
Hierarchical task network-based emergency task planning with incomplete information, concurrency and uncertain duration
Empower event detection with bi-directional neural language model
Knowledge-driven deep learning approaches for computer vision tasks: A survey
Fuzzy rough set-based attribute reduction using distance measures
Discovery and learning of models with predictive state representations for dynamical systems without reset
TraceNet: Tracing and locating the key elements in sentiment analysis
Memory transformation networks for weakly supervised visual classification
A threshold search-based population algorithm for the sphere packing problem
Argument-based explanation of logic programs
Rule-based and case-based reasoning approach for internal audit of bank
MLDF: Multi-scale local descriptors fusion for lace fabric image retrieval
From physics-informed guidance to progressive distillation: A dual-stage diffusion framework for brain MRI super-resolution
DP-FedEwc: Differentially private federated elastic weight consolidation for model personalization
A two-stage approach for formulating fuzzy regression models
DRaWS: A dual random-walk based sampling method to efficiently estimate distributions of degree and clique size over social networks
Exploiting semantic knowledge for robot object recognition
Deep reinforcement learning for transportation network combinatorial optimization: A survey
Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data
Node proximity preserved dynamic network embedding via matrix perturbation
Toward an outsider agent for supporting a brainstorming session -- an information retrieval method from a different viewpoint
Causally aware reinforcement learning agents for autonomous cyber defence
Multi-branch fusion network for hyperspectral image classification
The ensemble of density-sensitive SVDD classifier based on maximum soft margin for imbalanced datasets
A PDF document re-finding system with a Q&A wizard interface
Fusing deep and handcrafted features for intelligent recognition of uptake patterns on thyroid scintigraphy
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
A modified genetic algorithm and weighted principal component analysis based feature selection and extraction strategy in agriculture
Subsampling for partial least-squares regression via an influence function
Echo spiking neural P systems
Knowledge-based system for computer-aided drug design
Model-theoretic approach to clustering
Machine Learning and Genetic Algorithms: A case study on image reconstruction
Hyper-heuristic local search for combinatorial optimisation problems
Multiple kernel dimensionality reduction via spectral regression and trace ratio maximization
A cross-region transfer learning method for classification of community service cases with small datasets
Deep transfer learning for automatic speech recognition: Towards better generalization
Integrating deep reinforcement learning with pointer networks for service request scheduling in edge computing
Topic knowledge map and knowledge structure constructions with genetic algorithm, information retrieval, and multi-dimension scaling method
Random Balance ensembles for multiclass imbalance learning
PCAE: A framework of plug-in conditional auto-encoder for controllable text generation
Joint empirical risk minimization for instance-dependent positive-unlabeled data
Trust measures for competitive agents
A deep association discovery framework for the multidimensional data: Application to power grid analysis
A novel evidence combination rule based on compromise conflict indicator and conflict focal element
Efficient mining of high-utility itemsets using multiple minimum utility thresholds
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms
Cost-sensitive stacked sparse auto-encoder models to detect striped stem borer infestation on rice based on hyperspectral imaging
Improved Binary Meerkat Optimization Algorithm for efficient feature selection of supervised learning classification
Class-imbalanced positive instances augmentation via three-line hybrid
Integrating statistical significance and discriminative power in pattern discovery
Boosting active learning via re-aligned feature space
Multi-Level Skeleton Self-Supervised Learning: Enhancing 3D action representation learning with Large Multimodal Models
Extracting location and creator-related information from Wikipedia-based information-rich taxonomy for ConceptNet expansion
Automatic melody composition based on a probabilistic model of music style and harmonic rules
Bagged support vector machines for emotion recognition from speech
InBeat: JavaScript recommender system supporting sensor input and linked data
A region division based decomposition approach for evolutionary many-objective optimization
QA document recommendations for communities of question-answering websites
PC-based expert systems in manufacturing
Moth Swarm Algorithm for Image Contrast Enhancement
Automated graph anomaly detection with large language models
Robust twin depth support vector machine based on average depth
Learning adaptive shift and task decoupling for discriminative one-step person search
Non-parallel hyperplanes ordinal regression machine
Reviewing clinical knowledge in medical large language models: Training and beyond
Asymmetric cross-modal activation network for RGB-T salient object detection
Relational tree ensembles and feature rankings
Three-way decisions based software defect prediction
HDSM: A distributed data mining approach to classifying vertically distributed data streams
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values
CNC-NOS: Class noise cleaning by ensemble filtering and noise scoring
An efficient video watermark method using blockchain
Multi-label learning with label-specific features by resolving label correlations
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector
The KRAFT architecture for knowledge fusion and transformation
A novel focused crawler combining Web space evolution and domain ontology
Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection
Automatic diagnosis of alcohol use disorder using EEG features
Nonlinear bilevel programming approach for decentralized supply chain using a hybrid state transition algorithm
Semi-supervised graph convolutional community detection empowered by large language models
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification
A local adaptive learning system for online portfolio selection
PFI-Fuse: Parallel frequency-invertible adversarial network for infrared and visible image fusion
Self-associated concept mapping for representation, elicitation and inference of knowledge
Novel approach to a rule-based general purpose program translator using paramodulation
An empirical margin explanation for the effectiveness of DECORATE ensemble learning algorithm
A fuzzy Einstein-based decision support system for public transportation management at times of pandemic
Cross-silo heterogeneous model federated multitask learning
Static-dynamic global graph representation for pedestrian trajectory prediction
ASMWP: Adaptive spatial masking for weakly-supervised point cloud semantic segmentation
Knowledge-infused probabilistic modelling for decision support in metal additive manufacturing
Multi-task ordinal regression with task weight discovery
Explainability in deep reinforcement learning
Soft subspace clustering of interval-valued data with regularizations
DSTEA: Improving Dialogue State Tracking via Entity Adaptive pre-training
An improved Genghis Khan optimizer based on enhanced solution quality strategy for global optimization and feature selection problems
Merging intelligent agency and the Semantic Web
CUPID: consistent unlabeled probability of identical distribution for image classification
Intelligent chatbot dialogue breakdown solutions and challenges: A systematic literature review
State representation modeling for deep reinforcement learning based recommendation
Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models
Intelligent operation of heavy haul train with data imbalance: A machine learning method
Recommendations with residual connections and negative sampling based on knowledge graphs
Generation of microscopic structure of solder material with desirable characteristics based on deep learning
Deep reinforcement learning for robust emotional classification in facial expression recognition
A decomposition-based differential evolution with reinitialization for nonlinear equations systems
Adaptive label secondary reconstruction for missing multi-label learning
CTransCNN: Combining transformer and CNN in multilabel medical image classification
Fast and accurate fractional order gradient descent algorithm and its application in Extreme Gradient Boosting
Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months
A rough sets based characteristic relation approach for dynamic attribute generalization in data mining
Constrained bilinear factorization multi-view subspace clustering
SAGAN: Deep semantic-aware generative adversarial network for unsupervised image enhancement
Graded rough set model based on two universes and its properties
Fuzzy entropy clustering by searching local border points for the analysis of gene expression data
Dynamic spatiotemporal graph convolutional network collaborative pre-training learning for traffic flow prediction
Robust visual tracking with correlation filters and metric learning
An adaptive time-varying neural network for solving K optimal time-varying destroy locations query problem
Temporal Graph Network for continuous-time dynamic event sequence
Labeling clusters from both linguistic and statistical perspectives: A hybrid approach
BGICR: Bootstrap-guided iterative clustering refinement for enhanced high-dimensional psychological data analysis
Adaptive deep learning for entity resolution by risk analysis
A hybrid-learning based broker model for strategic power trading in smart grid markets
Few-shot fine-grained image classification based on multi-scale selecting and feature interacting
Determination of scale elasticity in the existence of non-discretionary factors in performance analysis
The fuzzy ontology reasoner fuzzyDL
A new fuzzy hybrid technique for ranking real world Web services
Prediction of potential miRNA-disease associations using matrix decomposition and label propagation
A data-driven evolutionary algorithm with multi-evolutionary sampling strategy for expensive optimization
An intelligent grading system for mangosteen based on improved convolutional neural network
RNNtcs: A test case selection method for Recurrent Neural Networks
A constrained differential evolution algorithm to solve UAV path planning in disaster scenarios
A procedural texture generation framework based on semantic descriptions
Making decision in case-based systems using probabilities and rough sets
Adaptive course recommendation in MOOCs
A novel measure of edge centrality in social networks
ConSent: Context-based sentiment analysis
A proximal classifier with consistency
Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis
A hash map-based memetic algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance to minimize total flowtime
Statistical comparisons of active learning strategies over multiple datasets
Considering the decision maker's attitudinal character to solve multi-criteria decision-making problems in an intuitionistic fuzzy environment
Deep metric learning via group channel-wise ensemble
Disagreement-based class incremental random forest for sensor-based activity recognition
Towards unified bijective image-text generation for text-to-image person re-identification
Boosting transferability of adversarial samples via saliency distribution and frequency domain enhancement
Learning a gaze estimator with neighbor selection from large-scale synthetic eye images
Embedding-Based decision support framework for large-scale content analysis
Rate-distortion optimal evolutionary algorithm for JPEG quantization with multiple rates
Generating complex systems in the domain of chemical reactions
UDF-GAN: Unsupervised dense optical-flow estimation using cycle Generative Adversarial Networks
Quantum recurrent encoder-decoder neural network for performance trend prediction of rotating machinery
Differentially private data publishing via optimal univariate microaggregation and record perturbation
Deep multiplex graph infomax: Attentive multiplex network embedding using global information
Time expression as update operations: Normalizing time expressions via a distantly supervised neural semantic parser
Relative Synergy Coefficient: A novel way to detect variable interaction in large dataset
Unsupervised feature selection for image classification: A bipartite matching-based principal component analysis approach
On efficient conditioning of probabilistic relational databases
Global exponential stability of discrete-time almost automorphic Caputo-Fabrizio BAM fuzzy neural networks via exponential Euler technique
Exercise recommendation based on knowledge concept prediction
A deep neural network based multi-task learning approach to hate speech detection
Manipulating vulnerability: Poisoning attacks and countermeasures in federated cloud-edge-client​ learning for image classification
Edge and semantic collaboration framework with cross coordination attention for co-saliency detection
Hierarchical regression framework for multi-fidelity modeling
Knowledge acquisition based on learning of maximal structure fuzzy rules
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Improving the effectiveness of intrusion detection systems for hierarchical data
On decision-making strategies for improved-reliability size reduction of microwave passives: Intermittent correction of equality constraints and adaptive handling of inequality constraints
An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters
Sentiment-aware multimodal pre-training for multimodal sentiment analysis
Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation
Knowledge-based approach to structural integrity verification in requirements analysis and logical system specification
AutoQuo: An Adaptive plan optimizer with reinforcement learning for query plan selection
Feature selection based on robust fuzzy rough sets using kernel-based similarity and relative classification uncertainty measures
Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings
Topological insights into heterogeneous information networks: A systematic review on biological data association
Low-rank joint distribution adaptation for cross-corpus speech emotion recognition
Nonnegative low-rank representation based manifold embedding for semi-supervised learning
Mining semantic association rules from RDF data
Inducing probability distributions on the set of value functions by Subjective Stochastic Ordinal Regression
Graph neural network for 6D object pose estimation
A dynamic financial distress forecast model with multiple forecast results under unbalanced data environment
Multi-granularity confidence learning for unsupervised text-to-image person re-identification with incomplete modality
Fast algorithms to evaluate collaborative filtering recommender systems
Learning disjunctive concepts based on fuzzy semantic cell models through principles of justifiable granularity and maximum fuzzy entropy
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
Question-conditioned debiasing with focal visual context fusion for visual question answering
Co-saliency detection with intra-group two-stage group semantics propagation and inter-group contrastive learning
Container throughput forecasting using a novel hybrid learning method with error correction strategy
LiDAR-assisted image restoration for extreme low-light conditions
Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios
Towards the estimation of feature-based semantic similarity using multiple ontologies
Construction of three-way attribute partial order structure via cognitive science and granular computing
Attend and select: A segment selective transformer for microblog hashtag generation
A novel deep transfer learning method with inter-domain decision discrepancy minimization for intelligent fault diagnosis
Bidirectional gated recurrent unit with auto encoders for detecting arrhythmia using ECG data
QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning
A novel unsupervised corpus-based stemming technique using lexicon and corpus statistics
Identification and predictive control for a circulation fluidized bed boiler
Redesign of technical systems
Label decoupling strategy for 12-lead ECG classification
Rethinking structural semantics for unsupervised graph domain adaptation
Joint low-rank representation and spectral regression for robust subspace learning
Interaction protocols for cross-organisational workflows
Mining event logs for knowledge discovery based on adaptive efficient fuzzy Kohonen clustering network
A federated feature selection algorithm based on particle swarm optimization under privacy protection
Auto-weighted low-rank representation for clustering
Monkey King Evolution: A new memetic evolutionary algorithm and its application in vehicle fuel consumption optimization
Federated Neural Collaborative Filtering