yusuke1997/dblp-id-title huggingface dataset:
Interpretable multi-agent reinforcement learning via multi-head variational autoencoders
DDet3D: embracing 3D object detector with diffusion
Deep neural networks for automatic grain-matrix segmentation in plane and cross-polarized sandstone photomicrographs
Fpa-GCN: enhancing aspect sentiment triplet extraction with feature-rich prediction-aware graph convolutional networks
Development of decoupling scheme for high order MIMO process based on PSO technique
Deep cross-modal hashing with fine-grained similarity
Simulated evolution and simulated annealing algorithms for solving multi-objective open shortest path first weight setting problem
CaVIT: An integrated method for image style transfer using parallel CNN and vision transformer
Multiple kernel subspace clustering with dual tensors learning
End-to-end multi-domain neural networks with explicit dropout for automated bone age assessment
Robust anomaly-based intrusion detection system for in-vehicle network by graph neural network framework
Video summarization with u-shaped transformer
A tensor-based deep LSTM forecasting model capturing the intrinsic connection in multivariate time series
Correction to: A whitelist and blacklist-based co-evolutionary strategy for defensing against multifarious trust attacks
Storing fuzzy description logic ontology knowledge bases in fuzzy relational databases
Semi-supervised dimensionality reduction via sparse locality preserving projection
Online mining of fuzzy multidimensional weighted association rules
RLPath: a knowledge graph link prediction method using reinforcement learning based attentive relation path searching and representation learning
A surrogate-assisted bi-swarm evolutionary algorithm for expensive optimization
A sparse logistic regression framework by difference of convex functions programming
Query-oriented topical influential users detection for top-k trending topics in twitter
BA*: an online complete coverage algorithm for cleaning robots
Intelligent decision support system for optimizing inventory management under stochastic events
Multi-Stream 3D latent feature clustering for abnormality detection in videos
Cost-sensitive decision tree with multiple resource constraints
Homotopy conscious roadmap construction by fast sampling of narrow corridors
Automatic detection of crohn disease in wireless capsule endoscopic images using a deep convolutional neural network
Multi-scale dual dynamic spatiotemporal graph convolutional network for traffic flow prediction
A novel immune dominance selection multi-objective optimization algorithm for solving multi-objective optimization problems
Evolved fuzzy min-max neural network for new-labeled data classification
Research on multi-source POI data fusion based on ontology and clustering algorithms
MFSTGN: a multi-scale spatial-temporal fusion graph network for traffic prediction
Complex product quality prediction method based on an improved light gradient boosting machine
A similar structural and semantic integrated method for RDF entity embedding
A breakable multi-item multi stage solid transportation problem under budget with Gaussian type-2 fuzzy parameters
How to train your pre-trained GAN models
Configuring a seru production system to match supply with volatile demand
An evolutionary-based hyper-heuristic approach for the Jawbreaker puzzle
SRIF-RCNN: Sparsely represented inputs fusion of different sensors for 3D object detection
Text detection and localization in natural scene images based on text awareness score
Solving portfolio selection models with uncertain returns using an artificial neural network scheme
Using N-BEATS ensembles to predict automated guided vehicle deviation
Optimization models of consensus measurement and improvement processes with hesitant fuzzy linguistic evaluation information
UAVs rounding up inspired by communication multi-agent depth deterministic policy gradient
Proof searching and prediction in HOL4 with evolutionary/heuristic and deep learning techniques
TPE-ISE: approximate thumbnail preserving encryption based on multilevel DWT information self-embedding
Credibility analysis of water environment complaint report based on deep cross domain network
Population size reduction for the differential evolution algorithm
FRAN: feature-filtered residual attention network for realistic face sketch-to-photo transformation
Integrating textual data and knowledge graphs for intelligent fault diagnosis in railway operational equipment
SFP: temporal knowledge graph completion based on sequence-focus patterns representation learning
Metallic surface defect detection via NWD-WIoU based on grayscale co-generation entropy gain
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning
Modeling learner's dynamic knowledge construction procedure and cognitive item difficulty for knowledge tracing
Precise spiking neurons for fitting any activation function in ANN-to-SNN Conversion
Context-aware pedestrian detection especially for small-sized instances with Deconvolution Integrated Faster RCNN (DIF R-CNN)
A Dynamic multi-sensor data fusion approach based on evidence theory and WOWA operator
New 2D hyperchaotic Cubic-Tent map and improved 3D Hilbert diffusion for image encryption
Learning unified denoised representations for sequential recommendation
Predicting Chemical Parameters of River Water Quality from Bioindicator Data
Probabilistic linguistic WASPAS method for patients' prioritization by developing prioritized Maclaurin symmetric mean aggregation operators
Concise case indexing of time series in health care by means of key sequence discovery
UCTx: A Multi-Agent System to Assist a Transplant Coordination Unit
Multiobjective credibilistic model for COTS products selection of modular software systems under uncertainty
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos
CASSL: A cell-type annotation method for single cell transcriptomics data using semi-supervised learning
A fast detector generation algorithm for negative selection
Deep neural network-based feature selection with local false discovery rate estimation
Image encryption using permutation generated by modified Regula-Falsi method
TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases
BinRec: addressing data sparsity and cold-start challenges in recommender systems with biclustering
High performance genetic algorithm based text clustering using parts of speech and outlier elimination
Compression-resistant backdoor attack against deep neural networks
A new semi-supervised clustering technique using multi-objective optimization
Knowledge transfer via distillation from time and frequency domain for time series classification
Weight-adaptive channel pruning for CNNs based on closeness-centrality modeling
An edge-driven multi-agent optimization model for infectious disease detection
Energy-based structural least squares MBSVM for classification
Correction to: Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
Enhancing adversarial robustness in power quality classification systems: an attention-based defense framework
Infrared image super-resolution reconstruction by using generative adversarial network with an attention mechanism
WD2O: a novel wind driven dynamic optimization approach with effective change detection
Collaborative strategy network for spatial attention image captioning
GPARS: a general-purpose activity recognition system
Multi-task reinforcement learning via mixture-of-patterns meta-learning
A cluster impurity-based hybrid resampling for imbalanced classification problems
ADC@Θ r : Adaptive divisional categorization of ratings under rating threshold Θ r for similarity computation in recommendation systems
Solving the capacitated lot sizing problem with setup carryover using a new sequential hybrid approach
Enhancing recommendation accuracy of item-based collaborative filtering using Bhattacharyya coefficient and most similar item
Context Knowledge Representation and Reasoning in the Context Interchange System
Enhancing the generalization ability of deep learning model for radio signal modulation recognition
EPDNet: Light-weight small target detection algorithm based on pruning and logical distillation
Diffusion-based high dimensional subspace mapping for ECG generation with structured state space models
Grasshopper optimization algorithm for multi-objective optimization problems
Adaptive deep shared latent representation enables novel multi-omics cancer subtype classification
Fractional-order multiscale attention feature pyramid network for time series classification
Progressive deep video dehazing without explicit alignment estimation
Graph attention autoencoder model with dual decoder for clustering single-cell RNA sequencing data
The optimized GRNN based on the FDS-FOA under the hesitant fuzzy environment and its application in air quality index prediction
A joint question-answering model based on split-hop information propagation and heterogeneous representation alignment
Low-light image enhancement with geometrical sparse representation
Generative adversarial network for newborn 3D skeleton part segmentation
Borderline-margin loss based deep metric learning framework for imbalanced data
Improving zero-shot action recognition using human instruction with text description
Class-incremental learning via prototype similarity replay and similarity-adjusted regularization
Sparse and low-rank representation for multi-label classification
Proactive and reactive approach to employee competence configuration problem in planning and scheduling processes
A hybrid vision transformer and residual neural network model for fall detection using UWB radars
SCANSleepNet: A spatial-channel attention network for sleep stage classification
LCLD: A lightweight vanishing point detector with contrast-learning-based intermediate supervision module
Research Progress of spiking neural network in image classification: a review
Diagnosis test selection for distributed systems under communication and privacy constraints
Searching a Scalable Approach to Cerebellar Based Control
Text Mining in the SOMLib Digital Library System: The Representation of Topics and Genres
A dynamic holding strategy in public transit systems with real-time information
GAN-CLC-DGSR: Generative adversarial network framework with contrastive learning classifier for simultaneous time series data generation and state recognition
A new transductive learning method with universum data
A new belief rule base inference methodology with interval information based on the interval evidential reasoning algorithm
Multi-perspective convolutional neural networks for citywide crowd flow prediction
A jigsaw puzzle inspired algorithm for solving large-scale no-wait flow shop scheduling problems
A novel classification method for palmprint recognition based on reconstruction error and normalized distance
Contextual transformer sequence-based recognition network for medical examination reports
Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
Grafting constructive algorithm in feedforward neural network learning
Video sketch: A middle-level representation for action recognition
KnAC: an approach for enhancing cluster analysis with background knowledge and explanations
Better electrobiological markers and a improved automated diagnostic classifier for schizophrenia - based on a new EEG effective information estimation framework
HColonies: a new hybrid metaheuristic for medical data classification
Mean based relief: An improved feature selection method based on ReliefF
CoFF-CHP: coarse-to-fine filters with concept heuristic prompt for few-shot relation classification
Semantic-enhanced sequential modeling for personality trait recognition from texts
Model-induced term-weighting schemes for text classification
CNformer: a convolutional transformer with decomposition for long-term multivariate time series forecasting
Trustworthy machine reading comprehension with conditional adversarial calibration
Few-shot object detection with dense-global feature interaction and dual-contrastive learning
Joint learning affinity matrix and representation matrix for robust low-rank multi-kernel clustering
Temporal enhanced inductive graph knowledge tracing
An equidistance index intuitionistic fuzzy c-means clustering algorithm based on local density and membership degree boundary
Locality-constrained continuous place recognition for SLAM in extreme conditions
Probabilistic incremental dynamic analysis of structures using temporal surrogate model
Gaussian noise robust face hallucination via average filtering based data fidelity and locality regularization
Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting
Discovery the inverse variational problems from noisy data by physics-constrained machine learning
Salient object detection based on distribution-edge guidance and iterative Bayesian optimization
YOLO-MSD: a robust industrial surface defect detection model via multi-scale feature fusion
SDA-Net: a detector for small, densely distributed, and arbitrary-directional ships in remote sensing images
An efficient regularized K-nearest neighbor structural twin support vector machine
Integrating pseudo labeling with contrastive clustering for transformer-based semi-supervised action recognition
Time series cross-correlation network for wind power prediction
Static photovoltaic models' parameter extraction using reinforcement learning strategy adapted local gradient Nelder-Mead Runge Kutta method
Cluster-based stability evaluation in time series data sets
Hybridising heuristics within an estimation distribution algorithm for examination timetabling
Recipe recommendations for individual users and groups in a cooking assistance app
PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity
SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection
An enhanced hybrid method for time series prediction using linear and neural network models
Evaluation of geometric similarity metrics for structural clusters generated using topology optimization
AgentTeamwork: Coordinating grid-computing jobs with mobile agents
Robust face recognition via discriminative and common hybrid dictionary learning
Intelligent fleet management of autonomous vehicles for city logistics
Standardized validation of vehicle routing algorithms
An interlayer feature fusion-based heterogeneous graph neural network
Time delay system identification using controlled recurrent neural network and discrete bayesian optimization
An efficient method for mining frequent sequential patterns using multi-Core processors
Mining periodic movement patterns of mobile phone users based on an efficient sampling approach
Convolutional neural networks tamper detection and location based on fragile watermarking
Polyphonic sound event localization and detection using channel-wise FusionNet
Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering
Generation of suprasegmental information for speech using a recurrent neural network and binary gravitational search algorithm for feature selection
MTAD-Kanformer: multivariate time-series anomaly detection via kan and transformer
Classification trees with bivariate splits
Scene graph generation by multi-level semantic tasks
Developing a closed captioning quality assessment system using a multi-label classifier with active learning from deaf and hard of hearing viewers
Multiple kernel-based anchor graph coupled low-rank tensor learning for incomplete multi-view clustering
A Tournament-Based Competitive Coevolutionary Algorithm
Inferring context with reliable collaborators: a novel similarity estimation method for recommender systems
Memristive Bi-Path Wavelet Transformer for low-light image enhancement
A dynamic programming-based data-adaptive information granulation approach and its distributed implementation
Machine learning-based consensus decision-making support for crowd-scale deliberation
A filter-wrapper model for high-dimensional feature selection based on evolutionary computation
A two-stage discretization algorithm based on information entropy
DMSE: An efficient malicious traffic detection model based on deep multi-stacking ensemble learning
Multi-granularity competition-cooperation optimization algorithm with adaptive parameter configuration
A Prioritized Information Fusion Method for Handling Fuzzy Decision-Making Problems
KSCB: a novel unsupervised method for text sentiment analysis
Spike-train level supervised learning algorithm based on bidirectional modification for liquid state machines
A GPS-free method for vehicle future movement directions prediction using SOM for VANET
Asynchronous reinforcement learning algorithms for solving discrete space path planning problems
Artificial Intelligence and Environmental Decision Support Systems
A novel similarity measure for spatial entity resolution based on data granularity model: Managing inconsistencies in place descriptions
Industrial-application-oriented 2D image and 3D object anomaly detection technology: a comprehensive review
Applying Learning by Examples for Digital Design Automation
Improving entity alignment via attribute and external knowledge filtering
Multiple ant colony optimization using both novel LSTM network and adaptive Tanimoto communication strategy
ETTrack: enhanced temporal motion predictor for multi-object tracking
An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model
A keyframe weighted dual-channel attention GCN model for human skeleton motion prediction
gMLP-KGE: a simple but efficient MLPs with gating architecture for link prediction
General design method of hedge-algebras-based fuzzy controllers and an application for structural active control
Effect of random walk methods on searching efficiency in swarm robots for area exploration
Hidden data states-based complex terminology extraction from textual web data model
Radar based automated system for people walk identification using correlation information and flexible analytic wavelet transform
Multi-label classification by formulating label-specific features from simultaneous instance level and feature level
Feature subset selection combining maximal information entropy and maximal information coefficient
Harris Hawk Optimization Algorithm Based on Cauchy Distribution Inverse Cumulative Function and Tangent Flight Operator
Bio-inspired feature enhancement network for edge detection
Document vector embedding based extractive text summarization system for Hindi and English text
Applications of pre-trained CNN models and data fusion techniques in Unity3D for connected vehicles
EMD empowered neural network for predicting spatio-temporal non-stationary channel in UAV communications
The use of explicit goals for knowledge to guide inference and learning
A new bargaining solution for finite offer spaces
Resource allocation in heterogeneous network with node and edge enhanced graph attention network
Average up-sample network for crowd counting
Open-set domain adaptation by deconfounding domain gaps
Distance measures for connection number sets based on set pair analysis and its applications to decision-making process
An efficient structure for fast mining high utility itemsets
Constructing novel datasets for intent detection and ner in a korean healthcare advice system: guidelines and empirical results
MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection
Utility-based agent model for intermodal behaviors: a case study for urban toll in Lille
EnsP KDE &IncL KDE : a hybrid time series prediction algorithm integrating dynamic ensemble pruning, incremental learning, and kernel density estimation
GE-STDGN: a novel spatio-temporal weather prediction model based on graph evolution
Lightweight surrogate random forest support for model simplification and feature relevance
Replacing self-attentions with convolutional layers in multivariate long sequence time-series forecasting
A study of exploratory and stability analysis of artificial electric field algorithm
MSLANet: multi-scale long attention network for skin lesion classification
A type-2 neuro-fuzzy system with a novel learning method for Parkinson's disease diagnosis
Feature optimization based on multi-order fusion and adaptive recursive elimination for motion classification in doppler radar
Maximum relevancy maximum complementary based ordered aggregation for ensemble pruning
Intelligent neighbor selection for efficient query routing in unstructured P2P networks using Q-learning
Tensorized graph-guided view recovery for incomplete multi-view clustering
A time-series progressive generative adversarial network for improving imbalanced fetal heart rate signal classification
Improved generalization performance of convolutional neural networks with LossDA
Global and local learning from positive and unlabeled examples
Applying uncertain frequent pattern mining to improve ranking of retrieved images
Multi-exemplar affinity propagation clustering based on local density peak
Multi-Dimensional Modal Logic as a Framework for Spatio-Temporal Reasoning
Alzheimer's disease classification using distilled multi-residual network
An efficient stacking model with label selection for multi-label classification
Primitive activity recognition from short sequences of sensory data
A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification
Automatic folder allocation system using Bayesian-support vector machines hybrid classification approach
APS 9: an improved adaptive population-based simplex method for real-world engineering optimization problems
Event-triggered cooperative robust formation control of multi-agent systems via reinforcement learning
A novel selective learning based transformer encoder architecture with enhanced word representation
Dual-path decoder architecture for semantic segmentation of wheat ears
Curvilinear object segmentation in medical images based on ODoS filter and deep learning network
Multi-label text classification with latent word-wise label information
Spatial hierarchy perception and hard samples metric learning for high-resolution remote sensing image object detection
Mining interesting user behavior patterns in mobile commerce environments
A spatio-semantic approach to reasoning about agricultural processes
A modified combination rule in generalized evidence theory
Dynamic fusion of multi-source heterogeneous data using MOE mechanism for stock prediction
Wrapper feature selection with partially labeled data
Brain storm optimization using a slight relaxation selection and multi-population based creating ideas ensemble
Unveil the unseen: Exploit information hidden in noise
A multi-modal speech emotion recognition method based on graph neural networks
Multi-dictionary induced low-rank representation with multi-manifold regularization
A social recommender system using item asymmetric correlation
Sparse low-redundancy multi-label feature selection with adaptive dynamic dual graph constraints
A novel fault prognostic approach based on particle filters and differential evolution
Choose your explanation: a comparison of SHAP and Grad-CAM in human activity recognition
Formal Reasoning in Intelligent Database Systems
Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC)
A light-weight quantum self-attention model for classical data classification
A method for measuring similarity of time series based on series decomposition and dynamic time warping
Towards automation of warehouse management: Counting boxes on pallets via 3D reconstruction from a single image