yusuke1997/dblp-id-title huggingface dataset:
Event-based knowledge reconciliation using frame embeddings and frame similarity
Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures
Automatic detection of breathing disorder from ballistocardiography signals
EventKGE: Event knowledge graph embedding with event causal transfer
Fault detection and isolation for multi-type sensors in nuclear power plants via a knowledge-guided spatial-temporal model
Improving graph neural network via complex-network-based anchor structure
CoTP-Miner: Co-occurrence three-way sequential pattern mining
Clustering-based incremental learning for imbalanced data classification
A robust approach to attribute reduction based on double fuzzy consistency measure
Exploring deep features and ECG attributes to detect cardiac rhythm classes
A knowledge-based expert system for assessing the performance level of green buildings
CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction
Double-kernel based class-specific broad learning system for multiclass imbalance learning
Adaptive dynamic ensemble learning with class-specific model selection for efficient and robust image classification
Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem
Multi-label active learning through serial-parallel neural networks
Group consensus based on evidential reasoning approach using interval-valued belief structures
An enhanced CLKAN-RF framework for robust anomaly detection in unmanned aerial vehicle sensor data
Improved proximal policy optimization for UAV tracking in complex environments
Uncertain features exploration in temporal moment localization via language by utilizing customized temporal transformer
TransLearn: A clustering based knowledge transfer strategy for improved time series forecasting
Dual-stream Reciprocal Disentanglement Learning for domain adaptation person re-identification
Model-free robust reinforcement learning via Polynomial Chaos
Evolutionary population management for the design of metaheuristic search algorithms: Three improved algorithms, real-time charge scheduling problems, optimal solutions and stability analysis
Research on the model of rough set over dual-universes
Broad stochastic configuration network for regression
Related families-based attribute reduction of dynamic covering decision information systems
A gravitational search algorithm with hierarchy and distributed framework
CBKI: A confidence-based knowledge integration framework for multi-choice machine reading comprehension
Context-aware contrastive learning via structural harmony preservation for generalized category discovery
The mitigation of heterogeneity in temporal scale among different cortical regions for EEG emotion recognition
VS-MRC: A visual semantics-guided machine reading comprehension framework for multimodal named entity recognition with multiple images
Make you said that: A motion robust multi-knowledge fusion framework for speaker-agnostic visual dubbing
Step by step: A hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning
Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes
Object-oriented systems: the commercial benefits
RSSalg software: A tool for flexible experimenting with co-training based semi-supervised algorithms
A novel loan eligibility prediction model with effective use of data transformation methods
A low-dimensional cross-attention model for link prediction with applications to drug repurposing
Evaluating time series similarity using concept-based models
Distributor-centric model watermarking for image generative models
"Like charges repulsion and opposite charges attraction" law based multilinear subspace analysis for face recognition
Agent that models, reasons and makes decisions
Certainty-factor-like structures in Bayesian belief networks
A discrete bacterial algorithm for feature selection in classification of microarray gene expression cancer data
Global-local coherency contrastive learning for context-aware time series forecasting
Editorial: IUI 99
Bearing fault diagnosis based on multimodal knowledge graphs under few-shot samples
SASS applied to optimum work roll profile selection in the hot rolling of wide steel
Design optimization method of pipeline parameter based on improved artificial neural network
Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection
Action-Prompt: A unified visual prompt and fusion network for enhanced video action recognition
Growth Optimizer: A powerful metaheuristic algorithm for solving continuous and discrete global optimization problems
Understanding consumer heterogeneity: A business intelligence application of neural networks
Label propagation with multi-stage inference for visual domain adaptation
An ambiguity-aware classifier of lumbar disc degeneration
A modified teaching-learning-based optimization algorithm for solving optimization problem
Trust-aware energy-efficient and secure routing in MANETs using explicit feature interaction graph neural networks
An integrated machine learning framework for hospital readmission prediction
EMDSAC-ft: bridging the gap in offline-to-online reinforcement learning through value distribution learning
Federated knowledge graph completion via embedding-contrastive learning
Graph classification based on skeleton and component features
Learning fused features with parallel training for person re-identification
YOLOCS: Object detection based on dense channel compression for feature spatial solidification
Evolving support vector machines using fruit fly optimization for medical data classification
A model for online failure prognosis subject to two failure modes based on belief rule base and semi-quantitative information
An ontology-based universal design knowledge support system
SML: A Skeleton-based multi-feature learning method for sign language recognition
A distributed permutation flowshop scheduling problem with the customer order constraint
Extraction and attribution of public figures statements for journalism in Indonesia using deep learning
Guest editorial introduction
Systems of implications obtained using the Carve decomposition of a formal context
Multi-view clustering via optimal transport algorithm
System-of-systems approach to spatio-temporal crowdsourcing design using improved PPO algorithm based on an invalid action masking
Random walk based method to identify essential proteins by integrating network topology and biological characteristics
A concept and implementation of higher-level XML transformation languages
Interactive online learning for graph matching using active strategies
History-based attention in Seq2Seq model for multi-label text classification
DFOcc: Enhanced 3D occupancy perception based on scene flow and class-guided sampling
OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management
Aptenodytes Forsteri Optimization: Algorithm and applications
A multi-objective dynamic covering location problem for hierarchical agricultural machinery maintenance facilities
A self-tuning decomposition strategy in cooperative co-evolutionary algorithms for high-dimensional feature selection
Time series visualization based on shape features
"How to get consensus with neighbors?": Rating standardization for accurate collaborative filtering
Levy flight incorporated hybrid learning model for gravitational search algorithm
Work-oriented development of knowledge-based systems: a case for multiple perspectives
Incorporating rhetorical and plausible reasoning in a system for simulating argumentation
Converting an imperative program to a declarative one
Dynamic multi-swarm differential learning harris hawks optimizer and its application to optimal dispatch problem of cascade hydropower stations
A label ranking method based on Gaussian mixture model
Detection of malicious webmail attachments based on propagation patterns
Natural visibility encoding for time series and its application in stock trend prediction
Mining weighted sequential patterns in a sequence database with a time-interval weight
bupaR: Enabling reproducible business process analysis
Design issues for knowledge artifacts
A machine learning approach for detecting cybersecurity vulnerabilities in the internet of medical things
A generalized framework for anaphora resolution in Indian languages
Exploring human perception in interactive digital advertising: A Genetic-Kansei engineering approach with human-AI collaboration
Dynamic dominance rough set approach for processing composite ordered data
Exploiting high-order local and global user-item interactions for effective recommendation
Interpolation of plans for time-critical adaptation
Efficient feature points detector for full and partial palmprint recognition
An architecture for developing attentive information systems
Projan: A probabilistic trojan attack on deep neural networks
Multi-source information fusion and region-focused strategy for optimized neural architecture search
Approaches to attribute reductions based on rough set and matrix computation in inconsistent ordered information systems
Expert system for evaluating product liability claims
Mamba2Diff: An enhanced diffusion framework for goal-conditioned imitation learning in robotic long-horizon action modeling
Another approach to soft rough sets
A Dual-Matching Framework for Visual Entity Linking Enhanced by Large Language Models
Automatic Arabic Grammatical Error Correction based on Expectation-Maximization routing and target-bidirectional agreement
An efficient active learning method for multi-task learning
Medical image fusion by combining parallel features on multi-scale local extrema scheme
Training neural networks with classification rules for incorporating domain knowledge
Extracting relational facts for indexing and retrieval of crime-scene photographs
Fuzzy time series forecasting based on optimal partitions of intervals and optimal weighting vectors
Self-supervised visual-textual prompt learning for few-shot grading of gastric intestinal metaplasia
Recurrent synchronization network for emotion-cause pair extraction
Linear transformations for cross-lingual semantic textual similarity
A cooperative coevolutionary algorithm with problem-specific knowledge for energy-efficient scheduling in seru system
Optimum laplacian wavelet mask based medical image using hybrid cuckoo search - grey wolf optimization algorithm
Personalized graph pattern matching via limited simulation
A knowledge-light approach to personalised and open-ended human activity recognition
Extracting relevant knowledge for the detection of sarcasm and nastiness in the social web
Exploring design space for an integrated intelligent system
Variational Bayes survival analysis for unemployment modelling
Learning to predict diverse human motions from a single image via mixture density networks
Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation
Rethinking interactive image matting as incremental Gaussian process regression problems
CMRules: Mining sequential rules common to several sequences
KIMS: knowledge-based image management system
Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base
A local learning algorithm for random weights networks
Intuitionistic fuzzy ordered weighted distance operator
A multi-in and multi-out dendritic neuron model and its optimization
Multi-modal sliding window-based support vector regression for predicting plant water stress
Boundary assembling method for joint entity and relation extraction
Pentagonal scheme for dynamic XML prefix labelling
A unified information measure for general binary relations
Multi-view informed attention-based model for Irony and Satire detection in Spanish variants
Evaluating an intelligent graphical user interface by comparison with human experts
FDMDyG: Frequency domain-driven multi-scale continuous-time dynamic graph representation learning
MDFA-Net: Multiscale dual-path feature aggregation network for cardiac segmentation on multi-sequence cardiac MR
AdaBoost-based transfer learning method for positive and unlabelled learning problem
City-scale continual neural semantic mapping with three-layer sampling and panoptic representation
Learning discriminative representation for image classification
Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction
Log-based sparse nonnegative matrix factorization for data representation
Interpretable multi-task neural network modeling and particle swarm optimization of process parameters in laser welding
Palmprint verification based on 2D - Gabor wavelet and pulse-coupled neural network
Evidential classification and feature selection for cyber-threat hunting
A privacy-preserving framework with multi-modal data for cross-domain recommendation
Pyramid SpinalNet-based nerve structure segmentation and classification using ultrasound nerve image
Matrix-based approaches for dynamic updating approximations in multigranulation rough sets
An improved density peak clustering algorithm guided by pseudo labels
Design a batched information retrieval system based on a concept-lattice-like structure
An object-oriented development method for Customer Knowledge Management Information Systems
Beyond classification and regression: A novel multi-task deep learning framework for driver state understanding in human-machine Co-driving system
Exponential random graph modeling of emergency collaboration networks
Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses
Adaptive representation-aligned modeling for visual tracking
A filtering method for algorithm configuration based on consistency techniques
MTMA: Multi-task multi-attribute learning for the prediction of adverse drug-drug interaction
Approximate concepts acquisition based on formal contexts
Large margin projection-based multi-metric learning for classification
Scalable one-stage multi-view subspace clustering with dictionary learning
Unsupervised feature selection based on bipartite graph and low-redundant regularization
Learning semantic representation with neural networks for community question answering retrieval
Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems
DualDS: A dual discriminative rating elicitation framework for cold start recommendation
An ensemble deep learning-based cyber attack detection system using optimization strategy
Dynamic scheduling for dual-resource constrained flexible job-shop via semantic-aware graph modelling and deep reinforcement learning
Sliding window-aided recursive efficient kernel decomposition for KPI-oriented fault detection of complex industrial processes
Differential evolution with ring sub-population architecture for optimization
Automatic construction of multi-faceted user profiles using text clustering and its application to expert recommendation and filtering problems
MODDEEPNET: An artificial learning framework integrated with multi-scale detail extraction module for moving object detection
Acoustic-articulatory emotion recognition using multiple features and parameter-optimized cascaded deep learning network
Quaternion deep matrix factorization and non-local Laplacian regularization for matrix completion
Spectral context-aware frequency alignment for few-shot hyperspectral image classification
Combining decision tree and Naive Bayes for classification
Improving the validation of multiple-object detection using a complex-network-community-based relevance metric
A web based CBR system for heating ventilation and air conditioning systems sales support
Toward learnable and interpretable data Shapley valuation for deep learning
A retraining methodology for enhancing agent intelligence
The sense of agency in human-AI interactions
Two evidential data based models for influence maximization in Twitter
Dual-stream feature extraction and semantic similarity for deep hashing image retrieval
Bidirectional and multidirectional associative memories as models in linkage analysis in data analytics: Conceptual and algorithmic developments
Fine-grained local label correlation for multi-label classification
An improved differential-based harmony search algorithm with linear dynamic domain
Frame-based implementation of a design knowledge-capture scheme
FS-PTL: A unified few-shot partial transfer learning framework for partial cross-domain fault diagnosis under limited data scenarios
A knowledge-based question answering system for B2C eCommerce
Predicting taxi demands via an attention-based convolutional recurrent neural network
PCN: Patch segmentation convolutional networks in time series forecasting tasks
Hierarchical classification for account code suggestion
S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction
FedSR: Federated Learning for Image Super-Resolution via detail-assisted contrastive learning
ADBNet: Asymmetric dual-branch network for indoor real-time RGB-D semantic segmentation
The interaction of normalisation and clustering in sub-domain definition for multi-source transfer learning based time series anomaly detection
CyberDesk: a framework for providing self-integrating context-aware services
Modeling and optimization of multi-item multi-constrained EOQ model for growing items
Cold SegDiffusion: A novel diffusion model for medical image segmentation
Multiple adversarial networks for unsupervised domain adaptation
Understand and Detect: Multi-step zero-shot detection with image-level specific prompt
A dynamic trust consensus model considering individual overconfidence
The iBoxplot: A visual tool based on lows and highs to support decision-making and acquire knowledge
DMGAN: Discriminative Metric-based Generative Adversarial Networks
Graph protection under multiple simultaneous attacks: A heuristic approach
Linguistic patterns as a framework for an expert knowledge representation in agent movement simulation
Feature analysis for proper intensity scaling and feature distinction in class activation maps
Variation-aware directed graph convolutional networks for skeleton-based action recognition
DISL: Deep Isomorphic Substructure Learning for network representations
Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity
Meta separation-fusion for generalizable person re-identification
An improved scheme for minimum cross entropy threshold selection based on genetic algorithm
Smart contract-based caching and data transaction optimization in mobile edge computing
Class-specific feature selection using neighborhood mutual information with relevance-redundancy weight
A knowledge intensive multi-agent framework for cooperative/collaborative design modeling and decision support of assemblies
Automated interpretation of key performance indicator values and its application in education
Multiobjective fuzzy clustering approach based on tissue-like membrane systems
BCOVIDOA: A Novel Binary Coronavirus Disease Optimization Algorithm for Feature Selection
Hidden Markov Model and multifractal method-based predictive quantization complexity models vis-á-vis the differential prognosis and differentiation of Multiple Sclerosis' subgroups
Solving high dimensional bilevel multiobjective programming problem using a hybrid particle swarm optimization algorithm with crossover operator
Multimodal tool support for creative tasks in the visual arts
ARIEX: Automated ranking of information extractors
Heterogeneous graph neural network for attribute completion
Multi-view feature fusion for person re-identification
An improved path-based clustering algorithm
Data-driven advisory system for industrial manufacturing. Application to the aluminum extrusion process
Two feature weighting approaches for naive Bayes text classifiers
An intermediary utility-based service search and structure organization approach in service-oriented MAS
Rigorous approach to the development of knowledge-based systems
A path relinking enhanced estimation of distribution algorithm for direct acyclic graph task scheduling problem
Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition
Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
Doubled coupling for image emotion distribution learning
Wizard of Oz studies -- why and how
Efficient black-box adversarial attacks via alternate query and boundary augmentation
A Two-channel model for relation extraction using multiple trained word embeddings
DMMP: A distillation-based multi-task multi-tower learning model for personalized recommendation
The agile improvement of MMORPGs based on the enhanced chaotic neural network
PU-GEN: Enhancing generative commonsense reasoning for language models with human-centered knowledge
Expert system gradient descent style training: Development of a defensible artificial intelligence technique
Self-supervised learning-based dual-classifier domain adaptation model for rolling bearings cross-domain fault diagnosis
Advancing depression detection in audio through innovative semi-supervised learning technology
Revisiting transductive support vector machines with margin distribution embedding
Dual contrastive learning-based hypergraph convolutional network for aspect-based sentiment classification
Re-sampled inheritance compact optimization
Computational models for computing fuzzy cardinal directional relations between regions
WinGraphUNet: Advanced windowed graph modeling with remixed contextual learning for efficient medical image segmentation
Unified dissipativity state estimation for delayed generalized impulsive neural networks with leakage delay effects
An agent-based simulation system for evaluating gridding urban management strategies
Locally differentially private graph learning on decentralized social graph
SGD-font: Style and glyph decoupling for one-shot font generation
Design pattern detection based on the graph theory
Collaborative group: Composed image retrieval via consensus learning from noisy annotations
A feature shuffling and restoration strategy for universal unsupervised anomaly detection
CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction
A framework for WWW user activity analysis based on user interest
A search problem in complex diagnostic Bayesian networks
Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise
A new hybrid method for learning bayesian networks: Separation and reunion
Modelling user preferences and mediating agents in electronic commerce
A lightweight multi-layer perceptron for efficient multivariate time series forecasting
LSPCL: Label-specific supervised prototype contrastive learning for multi-label text classification
Spatiotemporal fuzzy-graph convolutional network model with dynamic feature encoding for traffic forecasting
CFNet: Cross-modal data augmentation empowered fuzzy neural network for spectral fluctuation
Approximate declarative semantics for rule base anomalies
Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection
An adaptive n-gram transformer for multi-scale scene text recognition
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach
Mining maximal frequent patterns by considering weight conditions over data streams
A test-time adaptation method using evidential deep learning for online machinery fault diagnosis
Finite/fixed-time synchronization of memristive neural networks via event-triggered control
Multi-scale feature fusion network with temporal dynamic graphs for small-sample FW-UAV fault diagnosis
FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings
Do impression management tactics and/or supervisor-subordinate guanxi matter?
Seeded Poisson Factorization: leveraging domain knowledge to fit topic models
IntelliCare: Improving healthcare analysis with patient-level knowledge from large language models