yusuke1997/dblp-id-title huggingface dataset:
Bayesian inference for the automated adjustment of an image segmentation pipeline - A modular approach applied to wound healing assays
Citrus plant classification using gated fusion adaptive graph neural network with harbor seal whiskers optimization algorithm
Dual variational graph contrastive learning for social recommendation
Multi-view multitask learning for knowledge base relation detection
PMCN: Parallax-motion collaboration network for stereo video dehazing
Evidential K-NN classification with enhanced performance via optimizing a class of parametric conjunctive t-rules
FL-Net: A multi-scale cross-decomposition network with frequency external attention for long-term time series forecasting
Static analysis of Lyee requirements
H-RIL: A Hopf-based Robot Imitation Learning Framework for Modular Antenna Structure Assembly
Dynamic updating approximations approach to multi-granulation interval-valued hesitant fuzzy information systems with time-evolving attributes
FedDNL: Federated differentiated noisy learning for label noise heterogeneity
Penalty-based continuous aggregation operators and their application to group decision making
An ensemble learning framework for click-through rate prediction based on a reinforcement learning algorithm with parameterized actions
Transformer-driven multi-scale contextual alignment for robust E-nose drift compensation
Sliding window change point detection based dynamic network model inference framework for airport ground service process
Manifold-based aggregation clustering for unsupervised vehicle re-identification
Network-based dimensionality reduction of high-dimensional, low-sample-size datasets
MultiFeature fusion graph attention network for aspect-based sentiment analysis
On the computational efficiency of tissue P systems with evolutional symport/antiport rules
Computers, choreography and creativity
Searching High-value Edges Attack sequence through deep Reinforcement learning
DTDA: Dual-channel Triple-to-quintuple Data Augmentation for Comparative Opinion Quintuple Extraction
Efficient mining of class association rules with the itemset constraint
A new hybrid MCDM model combining DANP with VIKOR to improve e-store business
Integrating spatial relations into case-based reasoning to solve geographic problems
Evolutionary learning of probabilistic logic programs
An athlete-referee dual learning system for real-time optimization with large-scale complex constraints
A bias correction function for classification performance assessment in two-class imbalanced problems
Global EM-driven optimization of multi-band antennas using knowledge-based inverse response-feature surrogates
A novel Multiple Objective Symbiotic Organisms Search (MOSOS) for time-cost-labor utilization tradeoff problem
MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction
Balance recovery and collaborative adaptation approach for federated fault diagnosis of inconsistent machine groups
Intrusion detection using optimized ensemble classification in fog computing paradigm
Classifiers consensus system approach for credit scoring
Diffusion-based anomaly representation enhancement on graphs
Measuring the digital divide: A modified benefit-of-the-doubt approach
FedECP: Enhancing global collaboration and local personalization for personalized federated learning
Three-domain fuzzy wavelet broad learning system for tremor estimation
A novel pattern recognition system for detecting Android malware by analyzing suspicious boot sequences
Transformer-based multivariate time series anomaly detection using inter-variable attention mechanism
An integrated expert system/operations research approach for the optimization of waste incinerator siting problems
Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions
Optimal evolutionary framework-based activation function for image classification
DPA-MVSNet: Dynamic Context Perception Multi-view Stereo with transformers and data augmentation
Multiscale common-private feature adversarial decoupling network for hyperspectral pansharpening
AMS: A hyperspectral image classification method based on SVM and multi-modal attention network
Data-adaptive kernel clustering with half-quadratic-based neighborhood relationship preservation
MIMR: Modality-Invariance Modeling and Refinement for unsupervised visible-infrared person re-identification
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering
A software architecture for Twitter collection, search and geolocation services
Multimodal Multi-task deep learning framework for classification of sentiment, emotion, humor, sarcasm and toxicity from speech
MCINet: Multimodal context-aware network for RGBT tracking
A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism
ROPU: A robust online positive-unlabeled learning algorithm
Forecasting biotoxin contamination in mussels across production areas of the Portuguese coast with Artificial Neural Networks
Efficient intrusion detection in wireless sensor networks using MH CEGRU with cross-layer monitoring and cryptographic security
A comparative study of evaluating and benchmarking sign language recognition system-based wearable sensory devices using a single fuzzy set
CFNet: Conditional filter learning with dynamic noise estimation for real image denoising
Generalized linear models for symbolic polygonal data
DAHGN: Degree-Aware Heterogeneous Graph Neural Network
ChronoSHAP: Revealing temporal patterns from transformers and LTSF-linear models in time series forecasting
Domain adaptation based transfer learning for patent transfer prediction
CLAV: clustering latent vector aggregation for whole slide image retrieval leveraging foundation models
Truss optimization with natural frequency bounds using improved symbiotic organisms search
Optimising retrieval performance in RAG systems: A new growing window semantic chunking strategy to address weak semantic boundaries
Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules
Cloud-based solutions and fuzzy neural networks for online computational data analysis
Novel Privacy-preserving algorithm based on frequent path for trajectory data publishing
Efficient diversified influence maximization with adaptive policies
A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster-Shafer evidence theory
Managing uncertain preferences of consumers in product ranking by probabilistic linguistic preference relations
Exploiting causal independence in large Bayesian networks
TET: Text emotion transfer
HAT-GAE: Self-supervised graph autoencoders with hierarchical adaptive masking and trainable corruption
Enhancing federated learning model adversarial robustness in autonomous vehicles: A lightweight framework with contrastive learning and spatial clustering
LSTM new gate for computing the efficiency on inputdata
A comparative study on feature selection and adaptive strategies for email foldering using the ABC-DynF framework
Cost-sensitive continuous ensemble kernel learning for imbalanced data streams with concept drift
Generation diffusion degradation: Simple and efficient design for blind super-resolution
KMANet: A spatio-temporal enhancement network for micro-action recognition
Top-k high utility pattern mining with effective threshold raising strategies
Platform-based product design and development: A knowledge-intensive support approach
An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data
A dynamical consensus method based on exit-delegation mechanism for large group emergency decision making
Multiple indefinite kernel learning for feature selection
Hybridized data encoding based encryption and Diffie Hellman decryption for security enhancement
Semantic-enhanced discrete matrix factorization hashing for heterogeneous modal matching
AutoEmbedder: A semi-supervised DNN embedding system for clustering
Programming knowledge tracing based on heterogeneous graph representation
WellXplain: Wellness concept extraction and classification in Reddit posts for mental health analysis
An interactive feature selection method based on multi-step state transition algorithm for high-dimensional data
A generative adversarial network-based framework for network-wide travel time reliability prediction
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems
Spatio-temporal decomposition: a knowledge-based initialization strategy for parallel parking motion optimization
CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection
Large language models as oracles for instantiating ontologies with domain-specific knowledge
CNN-FCM: System modeling promotes stability of deep learning in time series prediction
Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection
Bridging the gap between text-to-SQL research and real-world applications: A unified all-in-one framework for text-to-SQL
Internet-based decision support for evidence-based medicine
A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example
CLIP-guided sample selection for active domain adaptation
Landslide evolution state prediction and down-level control based on multi-task learning
Vital spreaders identification in complex networks with multi-local dimension
LLM-based IR-system for bank supervisors
Generalized pixel-aware deep function-mixture network for effective spectral super-resolution
Motif discovery based traffic pattern mining in attributed road networks
Robust hybrid deep learning models for Alzheimer's progression detection
Robust co-clustering via dual local learning and high-order matrix factorization
Regularized autoencoder based discriminative least square regression for image classification
Online task-free continual learning via discrepancy mechanism
Abstracting probabilistic models: Relations, constraints and beyond
Predicting hate intensity of twitter conversation threads
Knowledge-based systems: Markets, suppliers and products : Ovum Ltd
Context-aware instance matching through graph embedding in lexical semantic space
Speaker-aware cognitive network with cross-modal attention for multimodal emotion recognition in conversation
Homonuclear Molecules Optimization (HMO) meta-heuristic algorithm
Multi-criteria active deep learning for image classification
StratMed: Relevance stratification between biomedical entities for sparsity on medication recommendation
ACCELERE: a case-based design assistant for closed cell rubber industry
Dimensionality-reduced antenna modeling with stochastically established constrained domain
Synchronization of multiple neural networks with reaction-diffusion terms under cyber-physical attacks
Fake news detection in low-resource languages: A novel hybrid summarization approach
Road graph generator: Mapping roads at construction sites from GPS data
A web-based training system for business letter writing
Structuring and modules for knowledge bases: motivation for a new model
An autoencoder-like deep NMF representation learning algorithm for clustering
Semantic foundations of medical information systems based on top-level ontologies
Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals
Towards knowledge-based identification of mineral mixtures from reflectance spectra
Synthesizing credit data using autoencoders and generative adversarial networks
DG Embeddings: The unsupervised definition embeddings learned from dictionary and glossary to gloss context words of Cloze task
Self-adaptive and locally-guided artificial electric field algorithm for global optimization with aggregative learning
User profiling approaches for demographic recommender systems
Machine learning: principles and techniques : Richard Forsyth
Special Relativity Search: A novel metaheuristic method based on special relativity physics
Frequency spectrograms for biometric keystroke authentication using neural network based classifier
Efficient pseudo-label screening for entity alignment: Contrastive learning and cross-entropy joint optimization
DDFP: Data-dependent frequency prompt for source free domain adaptation of medical image segmentation
Integrating expert systems and decision-support systems: principles and practice
A convex multi-class model via distance metric learning based class-to-instance confidence
Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization
A neural network with spatiotemporal encoding module for tropical cyclone intensity estimation from infrared satellite image
Dual-grained directional representation for infectious disease case prediction
Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems
Dynamic patch-aware enrichment transformer for occluded person re-identification
f-RIF metamodel-centered fuzzy rule interchange in the Semantic Web
Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities
Dynamic updating approximations in multigranulation rough sets while refining or coarsening attribute values
Tropical cyclone intensity prediction using optimized vision transformer dynamic graph convolutional network
An enhanced whale optimization algorithm for large scale optimization problems
Hybrid physics-machine learning framework for mathematical modeling of supersonic combustion mode transitions across wide speed range
Privacy-enhanced generative adversarial network with adaptive noise allocation
Adaptive multi-UAV cooperative path planning based on novel rotation artificial potential fields
Correlation filters with adaptive convolution response fusion for object tracking
Multi-feature space similarity supplement for few-shot class incremental learning
You only need haze: Bidirectional disentangled translation network for unsupervised image dehazing
Fast unsupervised multi-modal hashing based on piecewise learning
Unsupervised soft-label feature selection
On improving GARCH volatility forecasts for Bitcoin via a meta-learning approach
Adding sensor-free intention-based affective support to an Intelligent Tutoring System
Blockchain-assisted explainable decision traces (BAXDT): An approach for transparency and accountability in artificial intelligence systems
NetSRE: Link predictability measuring and regulating
A novel progressively undersampling method based on the density peaks sequence for imbalanced data
Trajectory planning of mobile robot: A Lyapunov-based reinforcement learning approach with implicit policy
RDR-based knowledge based system to the failure detection in industrial cyber physical systems
Data Reduction for Boolean Matrix Factorization Algorithms Based on Formal Concept Analysis
Adversarial domain adaptation for cross-user activity recognition via noise diffusion model
Decision-making model to generate novel emergency response plans for improving coordination during large-scale emergencies
Multi-paradigm software environment for the real-time processing of sound, music and multimedia
A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning
Estimating NBC-based recommendations on arbitrarily partitioned data with privacy
Robust twin extreme learning machines with correntropy-based metric
Posterior-thresholding feature extraction for paralinguistic speech classification
LCMC attacks: localized cross-modal collaborative black-box adversarial attack for visual object tracking
CAWSNet: Channel attention weight sharing network for single image denoising
Development of an unsupervised pseudo-deep approach for brain tumor detection in magnetic resonance images
DR-BROKERING: A semantic brokering system
Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems
DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns
A Type 2 wavelet brain emotional learning network with double recurrent loops based controller for nonlinear systems
Detecting hierarchical structure of community members in social networks
Optimal synthesis of mechanisms using repellency evolutionary algorithm
A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism
Knowledge-based system design using prolog: the PIAF experience
A heterogeneous online learning ensemble for non-stationary environments
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times
Formal framework to support organizational design
A parallel Lagrange algorithm for order acceptance and scheduling in cluster supply chains
Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm
Context-aware emotion cause analysis with multi-attention-based neural network
Spatio-attention embedded recurrent neural network for air quality prediction
Using citations to facilitate precise indexing and automatic index creation in collections of research papers
Developer-friendly verification of process-based systems
Pattern discovery via constraint programming
Online fitted policy iteration based on extreme learning machines
HHT-SVM: An online method for detecting profile injection attacks in collaborative recommender systems
Semantic service matchmaking for Digital Health Ecosystems
Multi-level alignment network for unsupervised domain adaptive multi-modality object re-identification
Appearance-based gaze estimation using deep features and random forest regression
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
Topic modeling through rank-based aggregation and LLMs: An approach for AI and human-generated scientific texts
Knowledge-driven systems for episodic decision support
LDA-Mono: A lightweight dual aggregation network for self-supervised monocular depth estimation
Multi-modal evidential fusion network for trustworthy PET/CT tumor segmentation
A complementary ratio based clause selection method for contradiction separation dynamic deduction
Multivariate time series forecasting based on time-frequency transform mixed convolution
Secure distributor data storage and retrieval of unstructured data in blockchain enabled edge computing
Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples
Multiscale gated recurrent latent variable model for fault detection with incomplete nonstationary time series
A multi-modal personality prediction system
Knowledge-dominated and data-driven rigid-flexible coupling dynamics for rotating flexible structure
FusionSum: Abstractive summarization with sentence fusion and cooperative reinforcement learning
Searching Target Communities with Outliers in attributed graph
Reasoning-based uncertainty estimation for scalable multidimensional media bias annotation: A benchmark across diverse media spaces
Escape velocity-based adaptive outlier detection algorithm
A novel fractional kookaburra crayfish optimization algorithm for trusted routing based blockchain in wireless sensor network
Attention fusion and target-uncertain detection for discriminative tracking
Recommendation based on rational inferences in collaborative filtering
A Canonical Context-Preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences
Provable convergence of Nesterov's accelerated gradient method for over-parameterized neural networks
Multi-Objective Artificial Bee Colony algorithm applied to the bi-objective orienteering problem
Spatial reasoning with a qualitative representation
A multi-objective tabu search algorithm based on decomposition for multi-objective unconstrained binary quadratic programming problem
AFGSL: Automatic Feature Generation based on Graph Structure Learning
Local tangent space transfer and alignment for incomplete data
Useful tools for non-linear systems: Several non-linear integral inequalities
A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data
A software tool for uncertainty modeling using Interpolative Boolean algebra
A wind speed interval forecasting system based on constrained lower upper bound estimation and parallel feature selection
Dual-coordinate graph representation with temporal edge encoding for multi-agent trajectory prediction
Sequential node search for faster neural architecture search
Obtaining accurate estimated action values in categorical distributional reinforcement learning
A multi-experts and multi-criteria risk assessment model for safety risks in oil and gas industry integrating risk attitudes
PSCD: Synergistic optimization of parameter sharing and chain distillation for plasticity-stability balance in continual learning
Imputation techniques for the reconstruction of missing interconnected data from higher Educational Institutions
ASK-RoBERTa: A pretraining model for aspect-based sentiment classification via sentiment knowledge mining
Process Takagi-Sugeno model: A novel approach for handling continuous input and output functions and its application to time series prediction
An efficient metaheuristic for the K-page crossing number minimization problem
Expert systems in manufacturing. Part 2: A management framework for expert-systems innovation and technology transfer
Adaptive dynamic event-triggered control for constrained modular reconfigurable robot
Cross-platform privacy-preserving CT image COVID-19 diagnosis based on source-free domain adaptation
Conceptual modeling rules extracting for data streams
Designers' activities examined at three levels: organization, strategies and problem-solving processes
Ensemble feature selection using bi-objective genetic algorithm
Multi-Granularity Ensemble Interaction Graph Modeling for Knowledge Tracing
ICAD-MI: Interdisciplinary concept association discovery from the perspective of metaphor interpretation
Inter-object discriminative graph modeling for indoor scene recognition
DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery
TFTDM: Time-frequency transformer with drop-mask strategy for time series self-supervised learning
ActiveFreq: Integrating Active Learning and Frequency Domain Analysis for Interactive Segmentation
Words are important: A textual content based identity resolution scheme across multiple online social networks
A new emergency decision support methodology based on multi-source knowledge in 2-tuple linguistic model
Matrix-based feature selection approach using conditional entropy for ordered data set with time-evolving features
Active reducing classification error for CAD systems
Redefining support vector machines with the ordered weighted average
Deep learning based face beauty prediction via dynamic robust losses and ensemble regression
Disentangle Representation Learning with Excluding Confounding Bias for causal effect estimation
Deep temporal-spectral domain adaptation for bearing fault diagnosis
A methodology based on Trace-based clustering for patient phenotyping
Deep hashing image retrieval based on hybrid neural network and optimized metric learning
Distributed group cooperation with multi-mechanism fusion in an adversarial environment
Parallel computing method of deep belief networks and its application to traffic flow prediction
Soft label enhanced graph neural network under heterophily
A heterogeneous graph neural network model for list recommendation
From natural language processing to logic for expert systems : A Thayse
Prototype-based Personalized Federated Learning for medical image classification
A Heterogeneous Directed Graph Attention Network for inductive text classification using multilevel semantic embeddings