yusuke1997/dblp-id-title huggingface dataset:
ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices
SRQA: Synthetic Reader for Factoid Question Answering
iSee: A case-based reasoning platform for the design of explanation experiences
PK-Net: A prior knowledge-driven dual-path network for enhanced glaucoma screening
Multi-label correlation guided feature fusion network for abnormal ECG diagnosis
Data-driven robust optimization for the itinerary planning via large-scale GPS data
Multivariate convex support vector regression with semidefinite programming
DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection
A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains
Multi-objective dynamic layout problem for temporary construction facilities with unequal-area departments under fuzzy random environment
Fingermark quality assessment framework with classic and deep learning ensemble models
NB + : An improved Naïve Bayesian algorithm
Boundary-guided network for camouflaged object detection
Mahalanobis distance-guided conditional adversarial learning for universal domain adaptation
IDEAL: A malicious traffic detection framework with explanation-guided learning
Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis
Deep belief echo-state network and its application to time series prediction
Modified-improved fitness dependent optimizer for complex and engineering problems
Hypergraph-enhanced cascades prediction via text-informed learning
AI microprocessor on PC
Frame-based Multi-level Semantics Representation for text matching
Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network
Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining
Knowledge based method for building a software system configuration
Enhanced differential evolution through chaotic and Euclidean models for solving flexible process planning
Understanding writing style in social media with a supervised contrastively pre-trained transformer
Weakly-supervised cross-contrastive learning network for image manipulation detection and localization
Anchor link prediction across social networks based on multiple consistency
Dp-M3D: Monocular 3D object detection algorithm with depth perception capability
SRM-TGA: A session-based recommendation model supported by temporal graph attention
Learning task models in ill-defined domain using an hybrid knowledge discovery framework
Improving disentanglement in variational auto-encoders via feature imbalance-informed dimension weighting
Quaternion Representation Learning for cross-modal matching
RDMTL: Reverse dictionary model based on multitask learning
A novel risk-control model for the online portfolio selection of high-frequency transactions
A Survey of Video Action Recognition Based on Deep Learning
Self-relation attention networks for weakly supervised few-shot activity recognition
GAdaBoost: An efficient and robust AdaBoost algorithm based on granular-ball structure
A supervised case-based reasoning approach for explainable thyroid nodule diagnosis
Optimal business model for the monopolistic ride-hailing platform: Pooling, premier, or hybrid?
Deep Luenberger observer-based consistency tracking for nonlinear heterogeneous multi-agent systems with uncertain drift dynamics
RETWALL: An expert system for the selection and preliminary design of earth retaining structures
Enhancing lifestyle and health monitoring of elderly populations using CSA-TkELM classifier
A novel test-cost-sensitive attribute reduction approach using the binary bat algorithm
Crisscross optimization algorithm and its application
An adaptive model with dual-dimensional attention for remaining useful life prediction of aero-engine
An integrated index for detection of Sudden Cardiac Death using Discrete Wavelet Transform and nonlinear features
Hybrid ecommerce recommendation model incorporating product taxonomy and folksonomy
A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation
NODES: a numerical and object based modelling system for conceptual engineering design
Embedding critics in decision-making environments to reduce human errors
Micro-behaviour with Reinforcement Knowledge-aware Reasoning for Explainable Recommendation
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
2-Dimension uncertain linguistic power generalized weighted aggregation operator and its application in multiple attribute group decision making
A2CEM: A contrastive embedding framework for adversarial robustness in large language models
Diformer: A dynamic self-differential transformer for new energy power autoregressive prediction
Normalizing flow-enhanced Gaussian embedding for few-shot knowledge graph completion
Manifold-aware and sparsity discriminant collaborative representation model and its application to multimode process monitoring
Recurrent neural networks with attention mechanisms and dimensionality reduction for accurate data-driven modelling of antennas
Online random forests regression with memories
Employing unlabeled data to improve the classification performance of SVM, and its application in audio event classification
Dual memory network model for sentiment analysis of review text
Fuzzy image segmentation based upon hierarchical clustering
CBReT: A Cluster-Based Resampling Technique for dealing with imbalanced data in code smell prediction
A cost-efficient framework for finding prospective customers based on reverse skyline queries
VALIO: Visual attention-based linear temporal logic method for explainable out-of-the-loop identification
Support vector machines with the known feature-evolution priors
UPG: 3D vision-based prediction framework for robotic grasping in multi-object scenes
WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium
Multi-criteria decision-making based on hesitant fuzzy linguistic term sets: An outranking approach
Multiscale motion-aware and spatial-temporal-channel contextual coding network for learned video compression
Exemplar-based video colorization with long-term spatiotemporal dependency
Multi-level prompting: Enhancing model performance through hierarchical instruction integration
e-Science workflow: A semantic approach for airborne pollen prediction
Polynomial-fuzzy decision tree structures for classifying medical data
Low-cost and precise automated re-design of antenna structures using interleaved geometry scaling and gradient-based optimization
Simplification of fuzzy multiple attribute decision making in production line evaluation
Integration of behavioural requirements specification within compositional knowledge engineering
Adaptive density peaks clustering: Towards exploratory EEG analysis
HKMCNN: Heat Kernel Mesh-Based Convolutional Neural Networks
Generating MDA's platform independent model using URDAD
PMCDM: Privacy-preserving multiresolution community detection in multiplex networks
Synergistic team composition: A computational approach to foster diversity in teams
Model order selection for approximate Boolean matrix factorization problem
Fault diagnosis across heterogeneous domains via self-adaptive temporal-spatial attention and sample generation
Improving tree-based neural machine translation with dynamic lexicalized dependency encoding
Sheepdog, parallel collaborative programming-by-demonstration
Multi-feature based Question-Answerer Model Matching for predicting response time in CQA
Conceptual indexing and active retrieval of video for interactive learning environments
A novel automatic picture fuzzy clustering method based on particle swarm optimization and picture composite cardinality
Text-to-graph query using semantic subgraph retrieval
Ambient air pollutants concentration prediction during the COVID-19: A method based on transfer learning
Knowledge graph completion based on a hierarchical graph attention network with structural information
A generalized bilevel optimization model for large-scale task scheduling in multiple agile earth observation satellites
Semi-supervised cluster-and-label with feature based re-clustering to reduce noise in Thai document images
S3PaR: Section-based Sequential Scientific Paper Recommendation for paper writing assistance
Soft multimodal style transfer via optimal transport
Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training
Enhancing vision-language models through pre-training-free knowledge fusion with TransferCVLM
Rule-based granular classification: A hypersphere information granule-based method
Statistical cross-language Web content quality assessment
Case-based selection of explanation methods for neural network image classifiers
An ameliorated deep dense convolutional neural network for accurate recognition of casting defects in X-ray images
PatchesNet: PatchTST-based multi-scale network security situation prediction
Preaching-inspired swarm intelligence algorithm and its applications
A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE
DiEff-MSwinNet: Dilated efficientnet based multi-scale swin transformers for spectrogram-powered epileptic seizure detection in real time
Discriminative information preservation: A general framework for unsupervised visual Domain Adaptation
Situated interpretation in computational creativity
An approach to EEG-based gender recognition using entropy measurement methods
Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines
Dynamic branch layer fusion: A new continual learning method for rotating machinery fault diagnosis
MSD-Rep: Multi-scale discriminative representation learning for chromosome classification with small datasets
Learning a maximized shared latent factor for cross-modal hashing
Continuous and complete liver vessel segmentation with graph-attention guided diffusion
Propa: a papaya management expert system
Improving collaborative filtering recommender system results and performance using genetic algorithms
Entropy-based bare bones particle swarm for dynamic constrained optimization
From first-order logic to automated word generation for Lyee
LoRA dropout as a sparsity regularizer for overfitting reduction
A context-aware diversity-oriented knowledge recommendation approach for smart engineering solution design
Joint event causality extraction using dual-channel enhanced neural network
Enhancing task incremental continual learning: integrating prompt-based feature selection with pre-trained vision-language model
Managing consensus and self-confidence in multiplicative preference relations in group decision making
Self-supervised human mobility learning for next location prediction and trajectory classification
An extended TOPSIS for determining weights of decision makers with interval numbers
Rule mining over knowledge graphs via reinforcement learning
@LM DeceptionNet: A multimodal approach for efficient transfer learning-based deception detection
Parameters with Adaptive Learning Mechanism (PALM) for the enhancement of Differential Evolution
DyArtbank: Diverse artistic style transfer via pre-trained stable diffusion and dynamic style prompt Artbank
Federated semi-supervised representation augmentation with cross-institutional knowledge transfer for healthcare collaboration
A semantic grammar for beginning communicators
TreeQA: Enhanced LLM-RAG with logic tree reasoning for reliable and interpretable multi-hop question answering
PPO-TA: Adaptive task allocation via Proximal Policy Optimization for spatio-temporal crowdsourcing
A novel integrated knowledge support system based on ontology learning: Model specification and a case study
Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors
LLM-AGR: Large Language Model Augmented Graph Representation Learning for Recommendation
Classifier guidance and domain cooperation for multisource unsupervised domain adaptation
AHE: Adaptive hybrid-sampling ensemble for large-scale highly imbalanced data classification
A comprehensive analysis of concept drift locality in data streams
Modeling multi-regional temporal correlation with gated recurrent unit and multiple linear regression for urban traffic flow prediction
A three learning states Bayesian knowledge tracing model
Differential privacy preservation in regression analysis based on relevance
DTSFormer: Decoupled temporal-spatial diffusion transformer for enhanced long-term time series forecasting
Semi-supervised Dual-Branch Network for image classification
Special issue on "Intelligent Formal Techniques for Software Design: IFTSD"
Dialogue summarization with supporting utterance flow modelling and fact regularization
Mixed feature selection based on granulation and approximation
A Bayesian approach to abrupt concept drift
FSPDF: Few-shot learning with progressive dual-domain feature fusion via self-supervised learning
Heterogeneous Interactive Graph Network for Audio-Visual Question Answering
Learning traffic signal phase and timing information from low-sampling rate taxi GPS trajectories
DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models
An adaptive multi-population artificial bee colony algorithm for dynamic optimisation problems
A novel single multiplicative neuron model trained by an improved glowworm swarm optimization algorithm for time series prediction
Enhancement of single candidate optimizer for weighted feature fusion and dilation-based cascaded RNN in learning-based recommendation system
MD-DCNN: Multi-Scale Dilation-Based Deep Convolution Neural Network for epilepsy detection using electroencephalogram signals
A novel approach for discretization of continuous attributes in rough set theory
Multi-objective dynamic distribution adaptation with instance reweighting for transfer feature learning
Hierarchical neighbor-enhanced graph contrastive learning for recommendation
Hard-style Selective Context Utilization for dialogue generation based on what user just said
LAC: Library for associative classification
Intelligent assessment based on Beta Regression for realistic training on medical simulators
Chaotic neural network quantization and its robustness against adversarial attacks
Mitigating modal discrepancies for visible-infrared person re-identification via high-order nonlinear constraint
ERD-Net: Modeling entity and relation dynamics for Temporal Knowledge Graph reasoning
One model packs thousands of items with Recurrent Conditional Query Learning
VSI: An interpretable Bayesian feature selection method based on Vendi score
RCLMuFN: Relational context learning and multiplex fusion network for multimodal sarcasm detection
Intelligent dual stream CNN and echo state network for anomaly detection
Learning with label proportions based on nonparallel support vector machines
Effects of examples on the results of a design activity
Apparatus and methods for mouse behavior recognition on foot contact features
Combining task execution and background knowledge for the verification of medical guidelines
A hierarchical multi-level model for compromise allocation in multivariate stratified sample surveys with non-response problem
RL-DARTS: Differentiable neural architecture search via reinforcement-learning-based meta-optimizer
Artificial intelligence through search : C Thornton and B du Boulay
Advanced speech emotion recognition utilizing optimized equivariant quantum convolutional neural network for accurate emotional state classification
A unified constraint-based approach for plan and goal recognition from unreliable observations
Research on non-dependent aspect-level sentiment analysis
Logic-based representation and reasoning about knowledge of constrained resources
Algebraic graph transformations for formalizing ontology changes and evolving ontologies
Safe instance screening for primal multi-label ProSVM
Detecting the latent associations hidden in multi-source information for better group recommendation
Knowledge reduction for decision tables with attribute value taxonomies
Improving the Reliability of Deep Neural Networks in NLP: A Review
Ranking-based contrastive loss for recommendation systems
Behavior segmentation of electricity consumption patterns: A cluster analytical approach
Mixed similarity learning for recommendation with implicit feedback
Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence
A low-query black-box adversarial attack based on transferability
AKBs & MKBs: Knowledge-based systems to predict breast cancer mortality
ECMRN: Efficient cross-modal reparameterization network for RGB-D tasks via prompt tuning
ForestryBERT: A pre-trained language model with continual learning adapted to changing forestry text
Expert systems: Human issues : D Berry and A Hart
FT4cip: A new functional tree for classification in class imbalance problems
Community Detection in Complex Networks: Multi-objective Enhanced Firefly Algorithm
Class imbalance methods for translation initiation site recognition in DNA sequences
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios
Multi-Label Text Classification model integrating Label Attention and Historical Attention
MCPL: Multi-model co-guided progressive learning for multimodal aspect-based sentiment analysis
Deep linear graph attention model for attributed graph clustering
Advances in natural language generation: an interdisciplinary perspective (vol 1): M Zock and G Sabah (eds) Pinter Publishers Ltd., UK (1988) £27.50, ISBN 0-86187-965-1, 200 pp
Sparse diffusion models for multi-annotator medical image segmentation
A hybrid ensemble feature selection design for candidate biomarkers discovery from transcriptome profiles
Trust propagation algorithm based on learning automata for inferring local trust in online social networks
Memetic algorithm with non-smooth penalty for capacitated arc routing problem
Heterogeneous information network embedding based on multiperspective metapath for question routing
Methodology for developing an advanced communications system for the Deaf in a new domain
LF-HGRILF: A law-fact heterogeneous graph representation and iterative learning framework for legal judgment prediction
Incremental evaluation of top-k combinatorial metric skyline query
Multi-kernel classification machine with reduced complexity
Translating a knowledge base into HTML
An accurate slicing method for dynamic time warping algorithm and the segment-level early abandoning optimization
Evolutionary game theory approach to materialized view selection in data warehouses
G-GTNet: Gestalt-inspired graph transformer network for robust point cloud registration
Differential private knowledge trading in vehicular federated learning using contract theory
Context-aware semantic classification of search queries for browsing community question-answering archives
NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework
Robust Neighborhood Covering Reduction with Determinantal Point Process sampling
Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis
Neighborhood convolutional graph neural network
Tensor ring decomposition-based model with interpretable gradient factors regularization for tensor completion
Dynamic gradient noise adaptation with reinforcement learning for differential privacy deep learning
Contrastive variational information bottleneck for aspect-based sentiment analysis
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges
Heuristic algorithms based on deep reinforcement learning for quadratic unconstrained binary optimization
Frequency-domain information guidance: Diffusion models for the Inpainting of Dunhuang murals
Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising
Guest Editorial: Intelligent Decision Making and Consensus Under Uncertainty in Inconsistent and Dynamic Environments
Modelling semantics across multiple time series and its applications
Cross-modal recipe retrieval via parallel- and cross-attention networks learning
MEdit4CEP-SP: A model-driven solution to improve decision-making through user-friendly management and real-time processing of heterogeneous data streams
Identifying the reaction centers of molecule based on dual-view representation
Discriminative predicate path mining for fact checking in knowledge graphs
Speeding up k-means clustering in high dimensions by pruning unnecessary distance computations
A social network-based trust-aware propagation model for P2P systems
A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem
Predicting water main failures: A Bayesian model updating approach
UN-η: An offline adaptive normalization method for deploying transformers
Robust evidential reasoning approach with unknown attribute weights
Backpropagation through time learning for recurrence-aware long-term cognitive networks
NewsMiner: Multifaceted news analysis for event search
Enhancing Android malware detection via knowledge distillation on homogenized function call graphs
Text-guided deep correlation mining and self-learning feature fusion framework for multimodal sentiment analysis
RNSC: A hierarchical deep learning model for net promoter scoring understanding by combining review and note through semantic consistency
A novel approach for neuro-fuzzy system-based multi-objective optimization to capture inherent fuzziness in engineering processes
Adoption and diffusion of knowledge management systems: field studies of factors and variables
Mining opinion summarizations using convolutional neural networks in Chinese microblogging systems
An e-learning recommendation approach based on the self-organization of learning resource
Biased unconstrained non-negative matrix factorization for clustering
A hierarchical fusion framework to integrate homogeneous and heterogeneous classifiers for medical decision-making
MAGDRA: A Multi-modal Attention Graph Network with Dynamic Routing-By-Agreement for multi-label emotion recognition
SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain
Enhancement of Texas wind turbine power predictions using fractional order neural network by incorporating machine learning models to impute missing data
Center consistency guided multi-view embedding anchor learning for large-scale graph clustering
Enabling controllable table-to-text generation via prompting large language models with guided planning
MOTIF: A text-aware and disentangled Mamba-based architecture for multimodal sentiment analysis
Counterfactual inference graph network for disease prediction
A multi-agent based system for e-procurement exception management
Intention-guided imitation learning methods under limited expert demonstration data
Towards strategic persuasion: Unveiling users' susceptibility to persuasive strategies in dialogues
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization
Multilayer perceptron neural network with regression and ranking loss for patient-specific quality assurance
Interval-valued intuitionistic fuzzy continuous weighted entropy and its application to multi-criteria fuzzy group decision making
Multi-expert human action recognition with hierarchical super-class learning
Answering queries that may have results in the future: A case study in food science
A fast incremental algorithm for deleting objects from a concept lattice
Efficient RGB-D scene understanding via multi-task adaptive learning and cross-dimensional feature guidance
Novel stack-model configuration for Merox-treated gasoline yield prediction synergized with EMMS-CFD hydrodynamic analysis
Cluster-graph convolution networks for robust multi-view clustering