yusuke1997/dblp-id-title huggingface dataset:
Making systems sensitive to the user's changing resource limitations
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets
SFA: Spatial-Frequency Adversarial Attack method
Lexical semantics enhanced neural word embeddings
A dynamic feature selection and intelligent model serving for hybrid batch-stream processing
PricoMS: Prior-coordinated multiscale synthesis network for self-supervised-aided vessel segmentation in intravascular ultrasound image amidst label scarcity
Heterogeneous data release for cluster analysis with differential privacy
HCI research regarding end-user requirement specification: a tutorial
Context-Specific grounding of web natural descriptions to human-centered situations
MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection
Aggregated text steganalysis toward social network based on efficient multi-perspective feature fusion
Multicriteria decision-making based on goal programming and fuzzy analytic hierarchy process: An application to capital budgeting problem
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter
Damped sliding based utility oriented pattern mining over stream data
An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels
MSBPR: A multi-pairwise preference and similarity based Bayesian personalized ranking method for recommendation
Limited-Damage A*: A path search algorithm that considers damage as a feasibility criterion
A fuzzy transfer function based on the behavior of meta-heuristic algorithm and its application for high-dimensional feature selection problems
Revolutionizing fault detection in self-healing network via multi-serial cascaded and adaptive network
Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts
A hierarchical memory network-based approach to uncertain streaming data
Survey on rank preservation and rank reversal in data envelopment analysis
Natural neighbor-based clustering algorithm with local representatives
Artificial intelligence enabled cyber security defense for smart cities: A novel attack detection framework based on the MDATA model
Zero-shot learning by mutual information estimation and maximization
Smart Robust Feature Selection (SoFt) for imbalanced and heterogeneous data
Decomposing word embedding with the capsule network
More than just a pretty face: conversational protocols and the affordances of embodiment
Discovering user access patterns on the World Wide Web
Cooperative mapping task assignment of heterogeneous multi-UAV using an improved genetic algorithm
Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review
An efficient algorithm for fast discovery of high-efficiency patterns
Neural networks: current applications : P G J Lisboa (Ed.) Chapman & Hall
Fuzzy correlation entropy-based NSGA-II for energy-efficient hybrid flow-shop scheduling problem
Nighttime pedestrian detection based on Fore-Background contrast learning
Lightweight image super-resolution with tokenized dynamic embedding network
MSST-ResNet: Deep multi-scale spatiotemporal features for robust visual object tracking
Graph embedding techniques, applications, and performance: A survey
Personalized process-type learning path recommendation based on process mining and deep knowledge tracing
Inductive and irregular dynamic network representation based on ordinary differential equations
Deep attributed network representation learning of complex coupling and interaction
NetNCSP: Nonoverlapping closed sequential pattern mining
GIP-Stereo : Geometry-aware information propagation network for stereo matching
Hybrid EGU-based group event participation prediction in event-based social networks
Performance analysis of descriptive statistical features in retinal vessel segmentation via fuzzy logic, ANN, SVM, and classifier fusion
Context based spatial-temporal graph convolutional networks for traffic prediction
Finding and analysing good neighbourhoods to improve collaborative filtering
Labeling issues through semantic patterns in open-source Agile practices
A new adaptive weighted imbalanced data classifier via improved support vector machines with high-dimension nature
PCAC: Causal discovery from low-dimensional small-scale time series
Multi-objective based Fuzzy Rule Based Systems (FRBSs) for trade-off improvement in accuracy and interpretability: A rule relevance point of view
An incremental algorithm for discovering routine behaviours from smart meter data
Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data
Attention uncovers task-relevant semantics in emotional narrative understanding
MSC+: Language pattern learning for word sense induction and disambiguation
FAformer: A frequency-aware transformer with adaptive energy decomposition for multivariate time series forecasting
A family of computer systems for delivering individualized advice
Reasoning like Humans: On Dynamic Attention Prior in Image Captioning
How to take advantage of behavioral features for the early detection of grooming in online conversations
Medical image retrieval via nearest neighbor search on pre-trained image features
The genetic algorithm based on generative adversarial network for dynamic multi-objective optimization problem and application
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection
V-trex: Visual-prompt enhanced detection with attention selection fusion module and random-crop quadruplet loss
SurvSHAP(t): Time-dependent explanations of machine learning survival models
From user interface design to the support of intelligent and adaptive interfaces: an overhaul of user interface software infrastracture
On the possibility of fuzzy method and its mathematical framework in OBE measurements
Cross-granularity multi-task network for ischemia diagnosis and defect detection in the myocardial perfusion imaging
From local to global: Leveraging document graph for named entity recognition
Modeling and predicting user preferences with multiple item attributes for sequential recommendations
FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation
Asymmetric complementary manifold hashing with category correlation for cross-modal retrieval
Multi-modal recursive prompt learning with mixup embedding for generalization recognition
Discriminant sparse local spline embedding with application to face recognition
On extraction, ranking and selection of data-driven and physics-informed features for bearing fault diagnostics
A knowledge-driven deep reinforcement learning approach for dynamic scheduling of re-entrant hybrid flow shop with in-line product quality inspection
A survey on temporal knowledge graph embedding: Models and applications
On the utility of landmarks in SAT based planning
Centrality-based Relation aware Heterogeneous Graph Neural Network
Cascade-refine model for cephalometric landmark detection in high-resolution orthodontic images
Repeated double cross-validation for choosing a single solution in evolutionary multi-objective fuzzy classifier design
A data-driven robotic Chinese calligraphy system using convolutional auto-encoder and differential evolution
Two-stage sentiment classification based on user-product interactive information
Unsupervised classification of 12-lead ECG signals using wavelet tensor decomposition and two-dimensional Gaussian spectral clustering
An approach of transfer learning and feature concatenation for classification of camouflage images
Evolutionary feature transformation to improve prognostic prediction of hepatitis
Sampling scheme-based classification rule mining method using decision tree in big data environment
CAPE: extending CLIPS for the internet
An alternate method between generative objective and discriminative objective in training classification Restricted Boltzmann Machine
Topic-enhanced emotional conversation generation with attention mechanism
Self-labeling with feature transfer for speech emotion recognition
Suppression techniques for privacy-preserving trajectory data publishing
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs
Advanced knowledge-base environments for large database systems
Gated residual neural networks with self-normalization for translation initiation site recognition
Building the meaning of preference from logical paired structures
Discernibility matrix based incremental attribute reduction for dynamic data
Driver drowsiness detection in video sequences using hybrid selection of deep features
Feature/vector entity retrieval and disambiguation techniques to create a supervised and unsupervised semantic table interpretation approach
Statistics-based CRM approach via time series segmenting RFM on large scale data
AMIDST: A Java toolbox for scalable probabilistic machine learning
A data-driven M2 approach for evidential network structure learning
Pinpointing visual content: Disentangled features in multimodal model for EEG representation learning and decoding
Hidden topic-emotion transition model for multi-level social emotion detection
A fully decentralized distributed learning algorithm for latency communication networks
Credible rules in incomplete decision system based on descriptors
A federated advisory teacher-student framework with simultaneous learning agents
Handling imbalanced datasets through Optimum-Path Forest
Heuristic search and tree systems inference for structural pattern recognition
Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption
Fast anytime retrieval with confidence in large-scale temporal case bases
GraphBSSN: A simple yet effective generative method for node classification in class-imbalanced graphs
Transfer subspace learning via low-rank and discriminative reconstruction matrix
Vision transformers for dense prediction: A survey
DRN-DSA: A hybrid deep learning network model for precipitation nowcasting using time series data
Particle Swarm Optimization based dictionary learning for remote sensing big data
On assisting a visual-facial affect recognition system with keyboard-stroke pattern information
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification
Fusion of linear base classifiers in geometric space
SUM: Serialized Updating and Matching for text-based person retrieval
ISFORS-MIX: Multi-agent reinforcement learning with Importance-Sampling-Free Off-policy learning and Regularized-Softmax Mixing network
Optimizing Hearthstone agents using an evolutionary algorithm
Path relinking strategies for the bi-objective double floor corridor allocation problem
Local density based on weighted K-nearest neighbors for density peaks clustering
Sample efficient reinforcement learning via low-rank regularization
Towards social-aware interesting place finding in social sensing applications
T-copula and Wasserstein distance-based stochastic neighbor embedding
Joint-optimized coverage path planning framework for USV-assisted offshore bathymetric mapping: From theory to practice
United equilibrium optimizer for solving multimodal image registration
A two-archive multi-objective multi-verse optimizer for truss design
Group search optimizer with intraspecific competition and lévy walk
Deconstructing reasoning paths and attending to semantic guidance for document-level relation extraction
A framework for optimizing extended belief rule base systems with improved Ball trees
A knowledge-based approach for managing urban infrastructures
Mutual-Taught Deep Clustering
A new pattern classification improvement method with local quality matrix based on K-NN
A knowledge-based automated driving approach for flexible production of individualized sheet metal parts
Interpretable knowledge extraction from emergency call data based on fuzzy unsupervised decision tree
Global feature selection from microarray data using Lagrange multipliers
Learning robust uniform features for cross-media social data by using cross autoencoders
Multi-task analysis discriminative dictionary learning for one-class learning
TabSAL: Synthesizing Tabular data with Small agent Assisted Language models
Special issue on "techniques to produce Intelligent_Secure software"
FactorVQVAE: Discrete latent factor model via Vector Quantized Variational Autoencoder
Boosting the K-Nearest-Neighborhood based incremental collaborative filtering
Multi-scale recursive network for dynamic decoupling enhanced transformer in image registration
An improved hybrid genetic algorithm: new results for the quadratic assignment problem
Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries
A two-stage dynamic influence model-achieving decision-making consensus within large scale groups operating with incomplete information
EGLR: Two-staged Explanation Generation and Language Reasoning framework for commonsense question answering
Exploitability prediction of vulnerabilities based on heterogeneous graphs
Spatiotemporal multi-view continual dictionary learning with graph diffusion
Learning product representations for generating reviews for cold products
Speedup of hypothetical reasoning by experience-based learning mechanism
A modified black-winged kite optimizer based on chaotic maps for global optimization of real-world applications
Link prediction by adversarial Nonnegative Matrix Factorization
A hybrid multi-criteria decision making model for elective admission control in a Chinese public hospital
Cooperative software agents for the Unix domain
Identifying critical nodes in complex networks via graph convolutional networks
Document-level relation extraction with hierarchical dependency tree and bridge path
CDADE: Conflict detector in activity diagram evolution based on speech act and ontology
PETRA: Process Evolution using a TRAce-based system on a maintenance platform
An object-oriented intelligent CAD system for ceramic kiln
Area in circle: A novel evaluation metric for object detection
Recent advances in accelerated multi-objective design of high-frequency structures using knowledge-based constrained modeling approach
A Swarm-Optimized Fuzzy Instance-based Learning approach for predicting slope collapses in mountain roads
Cross-attention-based multi-sensing signals fusion for penetration state monitoring during laser welding of aluminum alloy
Few-shot object detection with semantic enhancement and semantic prototype contrastive learning
M-Skyline: Taking sunk cost and alternative recommendation in consideration for skyline query on uncertain data
SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks
WMANet:Weighted multiple adaptive feature attention for self-supervised single remote-sensing image denoising
Is AI-assisted paraphrase the new tool for fake review creation? Challenges and remedies
Erratum to "Entropy-based fuzzy support vector machine for imbalanced datasets" [Knowl.-Based Syst. 115 (2017) 87-99]
An ensemble-based system for automatic screening of diabetic retinopathy
Modeling and optimization for the joint replenishment and delivery problem with heterogeneous items
Recommender systems for product bundling
Knowledge-enhanced document embeddings for text classification
A high-performance FAQ retrieval method using minimal differentiator expressions
Learning Deformable and Attentive Network for image restoration
Light field angular super-resolution based on intrinsic and geometric information
pi-football: A Bayesian network model for forecasting Association Football match outcomes
Verifiable Federated Learning with Group Chaining in Edge Computing
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction
Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews
Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization
Spatiotemporal incremental learning with three-dimensional fuzzy fusion for thermal processes modeling under sparse sensing
Transforming expertise into Knowledge-Based Engineering tools: A survey of knowledge sourcing in the context of engineering design
Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion
Algorithms for computing association rules using a partial-support tree
One-shot active learning for image segmentation via contrastive learning and diversity-based sampling
Differential evolution for filter feature selection based on information theory and feature ranking
Combining QoS prediction and customer satisfaction estimation to solve cloud service trustworthiness evaluation problems
Enhancing wind power generation prediction using relevance assessment-based transfer learning
A survey of the applications of text mining in financial domain
PredVSD: Video saliency prediction based on conditional diffusion model
Integrating modified cuckoo algorithm and creditability evaluation for QoS-aware service composition
Enhanced bearing fault diagnosis under strong noise: A deep residual network with combined attention mechanisms
Empower service directories with knowledge
Aggregating decision information into interval-valued intuitionistic fuzzy numbers for heterogeneous multi-attribute group decision making
Self-weighted multi-view clustering with soft capped norm
Web mining model and its applications for information gathering
Personalized Image Aesthetics Assessment based on Graph Neural Network and Collaborative Filtering
COHETS: A highlight extraction method using textual streams of streaming videos
A behavioral sequence analyzing framework for grouping students in an e-learning system
Robust active representation via ℓ2, p-norm constraints
A bi-population EDA for solving the no-idle permutation flow-shop scheduling problem with the total tardiness criterion
Partial multi-label learning based on sparse asymmetric label correlations
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network
A dimension reduction algorithm preserving both global and local clustering structure
An experimental ant colony approach for the geolocation of verbal route descriptions
Structural twin parametric-margin support vector machine for binary classification
Multi-level knowledge distillation for fine-grained fashion image retrieval
Dynamic Levy Flight Chimp Optimization
Double-Branch Dehazing Network based on Self-Calibrated Attentional Convolution
Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning
A deep learning approach for relationship extraction from interaction context in social manufacturing paradigm
Pyramidal temporal frame prediction for efficient anomalous event detection in smart surveillance systems
Price of flexibility in intelligent interfaces
Validating functional redundancy with mixed generative adversarial networks
Robust multi-view fuzzy clustering with exponential transformation and automatic view weighting
Multi-strategy serial cuckoo search algorithm for global optimization
A dynamically class-wise weighting mechanism for unsupervised cross-domain object detection under universal scenarios
NRGlassNet: Glass surface detection from visible and near-infrared image pairs
An improved rough margin-based ν-twin bounded support vector machine
A hybrid intelligent approach to detect Android Botnet using Smart Self-Adaptive Learning-based PSO-SVM
Developing a group decision support system based on fuzzy information axiom
PMA-Net: Progressive multi-stage adaptive feature learning for two-view correspondence
Information retrieval and question answering: A case study on COVID-19 scientific literature
User recognition in participatory sensing systems using deep learning based on spectro-temporal representation of accelerometer signals
Value function optimistic initialization with uncertainty and confidence awareness in lifelong reinforcement learning
A fusion network for multi-modality medical image registration with progressive feature alignment
An explainable dual-mode convolutional neural network for multivariate time series classification
MIAFEx: An attention-based feature extraction method for medical image classification
Combining neural networks and semantic feature space for email classification
Minimizing the seed set cost for influence spreading with the probabilistic guarantee
Emotion recognition in conversations with emotion shift detection based on multi-task learning
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
Personalized e-learning resource recommendation using multimodal-enhanced collaborative filtering
Adaptive in-context expert network with hierarchical data augmentation for sequential recommendation
Adversarially regularized graph attention networks for inductive learning on partially labeled graphs
Bayesian Co-evolutionary Optimization based entropy search for high-dimensional many-objective optimization
Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes
Dynamic multi-scale spatial-temporal graph convolutional network for traffic flow prediction
ATESA-BÆRT: A heterogeneous ensemble learning model for Aspect-Based Sentiment Analysis
Stochastic multiple criteria decision making with aspiration level based on prospect stochastic dominance
Distributed observer-based formation control and obstacle avoidance of nonholonomic mobile robots with input saturation
Dual-granularity weighted ensemble clustering
Stereo priori RCNN based car detection on point level for autonomous driving
Developing a framework for evaluating service oriented architecture governance (SOAG)
A fully automatic adjacent key-points localization framework for minimal repeated pattern detection in printed fabric images
SMOTE-based data augmentation for accurate classification of neutron halo nuclei: A machine learning approach in nuclear physics
Knowledge dilemmas within organizations: Resolutions from game theory
A novel multi-scale cooperative mutation Fruit Fly Optimization Algorithm
Coarse-to-fine multimodal prototype network for few-shot multimodal relation extraction
F-Mapper: A Fuzzy Mapper clustering algorithm
2DRLPP: Robust two-dimensional locality preserving projection with regularization
Exploring the uniform effect of FCM clustering: A data distribution perspective
Concept discovery on relational databases: New techniques for search space pruning and rule quality improvement
Learning strategy for continuous robot visual control: A multi-objective perspective
Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators
Structural knowledge transfer for learning Sum-Product Networks
Knowledge-guided local search for the prize-collecting Steiner tree problem in graphs
Towards effective learning for face super-resolution with shape and pose perturbations
Clinical decision support system for comprehensive analysis and long-term surveillance of post-endovascular repair in abdominal aortic aneurysms
Developing a lower bound and strong heuristics for a truck scheduling problem in a cross-docking center
PersistVerify: Federated model ownership verification with spatial attention and boundary sampling
Task scheduling of the collaborative aerial-ground system for the search and capture of multiple targets
An extended fuzzy measure on competitiveness correlation based on WCY 2011
Neural networks model based on an automated multi-scale method for mammogram classification
SAT-GCN: Self-attention graph convolutional network-based 3D object detection for autonomous driving
Knowledge-based systems in the design of a new parcelling
GAPatch: Graph-Aware Patch-Based Transformers for long-horizon time series forecasting