yusuke1997/dblp-id-title huggingface dataset:
FedKGRec: privacy-preserving federated knowledge graph aware recommender system
Feature selection via minimizing global redundancy for imbalanced data
A modified artificial bee colony approach for the 0-1 knapsack problem
Task-based dialogue policy learning based on diffusion models
Consistency-oriented clustering ensemble via data reconstruction
Fitness varying gravitational constant in GSA
An efficient algorithm for mining top-rank-k frequent patterns
Ensemble learning from multiple information sources via label propagation and consensus
A deep learning workflow enhanced with optical flow fields for flood risk estimation
Driver action recognition using deformable and dilated faster R-CNN with optimized region proposals
CrossGFA: wind power prediction with a multi-scale cross-graph network via a Frequency-Enhanced Channel attention mechanism
Efficient strategies for spatial data clustering using topological relations
Multi-stream neural network fused with local information and global information for HOI detection
Nonparallel least square support vector machine for classification
Action recognition method based on multi-stream attention-enhanced recursive graph convolution
Neural variational matrix factorization for collaborative filtering in recommendation systems
Servo controller design using neural networks
Sparse kernel minimum squared error using Householder transformation and givens rotation
An adaptive approach for decision making tactics in automated negotiation
Lifelong learning gets better with MixUp and unsupervised continual representation
MDT: A multiscale differencing transformer with sequence feature relationship mining for robust action recognition
HAMIATCM: high-availability membership inference attack against text classification models under little knowledge
A modified hybrid rice optimization algorithm for solving 0-1 knapsack problem
An improved Differential Evolution algorithm using learning automata and population topologies
Deep learning-based personality recognition from text posts of online social networks
Selective output smoothing regularization: Regularize neural networks by softening output distributions
Unsupervised deformable image registration network for 3D medical images
MOSHEPO: a hybrid multi-objective approach to solve economic load dispatch and micro grid problems
An improved crow search algorithm based on oppositional forgetting learning
Lightweight network architecture using difference saliency maps for facial action unit detection
Multi-level selective potentiality maximization for interpreting multi-layered neural networks
GA-based actuator control method for minimizing power consumption in cyber physical systems
Decision-making method based on new entropy and refined single-valued neutrosophic sets and its application in typhoon disaster assessment
Enhancing scenic recommendation and tour route personalization in tourism using UGC text mining
ST-NAMN: a spatial-temporal nonlinear auto-regressive multichannel neural network for traffic prediction
A novel split-and-merge algorithm for hierarchical clustering of Gaussian mixture models
Root quantization: a self-adaptive supplement STE
Identification of fractional order Wiener-Hammerstein systems based on adaptively fuzzy PSO and data filtering technique
Classifying univariate uncertain data
TNFRM: A recommendation model based on temporal interest fluctuation with neural networks and fuzzy clustering
Fast and slow curiosity for high-level exploration in reinforcement learning
A unified and costless approach for improving small and long-tail object detection in aerial images of traffic scenarios
Deep learning applications in games: a survey from a data perspective
Human-machine co-intelligence through symbiosis in the SMV space
MAPM: multiscale attention pre-training model for TextVQA
A novel alignment algorithm for effective web data extraction from singleton-item pages
A novel adaptive optimization method for deep learning with application to froth floatation monitoring
COFA: counterfactual attention framework for trustworthy wafer map failure classification
Bi-directional mapping for multi-label learning of label-specific features
A multi-scale granular framework for detecting anomalies in time series data
Efficient residual attention network for single image super-resolution
Multi-layer perceptron based fake news classification using knowledge base triples
ESRNet: an exploring sample relationships network for arbitrary-shaped scene text detection
RGB-T salient object detection via CNN feature and result saliency map fusion
A novel intrinsic measure of data separability
Personalized recommendation algorithm for social networks based on comprehensive trust
A beta salp swarm algorithm meta-heuristic for inverse kinematics and optimization
A novel approach based on rough set theory for analyzing information disorder
Multi-constraints in deep graph convolutional networks with initial residual
A priority-aware scheduling framework for heterogeneous workloads in container-based cloud
How to find opinion leader on the online social network?
Real-time autonomous path planning for dynamic wildfire monitoring with uneven importance
The color quantization problem solved by swarm-based operations
E-GCDT: advanced reinforcement learning with GAN-enhanced data for continuous excavation system
Visual enhanced hierarchical network for sentence-based video thumbnail generation
Hierarchical learning from human preferences and curiosity
Superresolution reconstruction of optical remote sensing images based on a multiscale attention adversarial network
A dictionary based model for bengali document classification
A robust graph based multi-label feature selection considering feature-label dependency
Learning spatially correlation filters based on convolutional features via PSO algorithm and two combined color spaces for visual tracking
MMRAN: A novel model for finger vein recognition based on a residual attention mechanism
The best hop diffusion method for dynamic relationships under the independent cascade model
A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation
Input information maximization for improving self-organizing maps
An Accelerated Genetic Algorithm
Construction of the brain-inspired computing model verified by spatiotemporal correspondence between the hierarchical computation of the model and the complex multi-stage processing of the human brain during facial expression recognition
Semantic preserving asymmetric discrete hashing for cross-modal retrieval
A comprehensive review of machine learning and deep learning models for non-intrusive load monitoring: performance, analyses, practical insights, and emerging trends
Event detection from text using path-aware graph convolutional network
A modular neural network for super-resolution of human faces
A projection wavelet weighted twin support vector regression and its primal solution
Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance
Deep reservoir calculation model and its application in the field of temperature and humidity prediction
An improved sine cosine algorithm with heterogeneous subpopulations for global optimization and fractional order PID controller design
Early bankruptcy prediction using ENPC
A Novel CRISPR-MultiTargeter Multi-agent Reinforcement learning (CMT-MARL) algorithm to identify editable target regions using a Hybrid scoring from multiple similar sequences
Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information
A Self-Tuning Evolutionary Algorithm Applied to an Inverse Partial Differential Equation
Ontology oriented programming in go!
Exploiting CNN's visual explanations to drive anomaly detection
Learning to adapt cross language information extraction wrapper
Superresolved spatial transcriptomics transferred from a histological context
Methodology for the projection of population pyramids based on Monte Carlo simulation and genetic algorithms
Application of multi-attribute large-scale group decision-making based on adaptive multi-threshold constraints in selecting the optimal site of a wastewater treatment plant
Quantum minimization for adapting ANFIS outputs to its nonlinear generalized autoregressive conditional heteroscedasticity
Automatic clustering of colour images using quantum inspired meta-heuristic algorithms
An immune optimization based real-valued negative selection algorithm
Rapid extraction of skin physiological parameters from hyperspectral images using machine learning
A modification to classical evolutionary programming by shifting strategy parameters
Simulation analysis of decision-making policy for on-demand transport systems
A multi-threshold segmentation approach based on Artificial Bee Colony optimization
Personalized lane change decision algorithm using deep reinforcement learning approach
Adaptive infinite impulse response system identification using teacher learner based optimization algorithm
Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems
Rescuing emergency cases of COVID-19 patients: An intelligent real-time MSC transfusion framework based on multicriteria decision-making methods
Exploiting relay nodes for maximizing wireless underground sensor network lifetime
SmartIX: A database indexing agent based on reinforcement learning
Mixture of experts with convolutional and variational autoencoders for anomaly detection
A general robust low-rank multinomial logistic regression for corrupted matrix data classification
hPSO-SA: hybrid particle swarm optimization-simulated annealing algorithm for relay node selection in wireless body area networks
Assigning data to dual memory banks in DSPs with a genetic algorithm using a repair heuristic
Reinforcement learning based connectivity restoration in wireless sensor networks
Building a qualitative recruitment system via SVM with MCDM approach
Non-dominated differential context modeling for context-aware recommendations
An approach of Bursty event detection in social networks based on topological features
FMAP: Distributed cooperative multi-agent planning
A multimodal attention-fusion convolutional neural network for automatic detection of sleep disorders
Collaborative representation induced broad learning model for classification
DBN based SD-ARX model for nonlinear time series prediction and analysis
ColdGAN: an effective cold-start recommendation system for new users based on generative adversarial networks
Adaptive active learning through k-nearest neighbor optimized local density clustering
An online multiple object tracker based on structure keeper net
Upgraded decision making in continuous domains for autonomous vehicles in high complexity scenarios using escalated DDPG
30th Anniversary of Applied Intelligence: A combination of bibliometrics and thematic analysis using SciMAT
SGEU: enhancing LLM reasoning via backward exemplar generation and verification
Mathematical modelling for decision making of lockdown during COVID-19
SANet: similarity aggregation and semantic fusion for few-shot semantic segmentation
Re-induction based mining for high utility item-sets
CCD-BSM:composite-curve-dilation brush stroke model for robotic chinese calligraphy
Assignment of cells to switches in cellular mobile network: a learning automata-based memetic algorithm
Feature weighting to tackle label dependencies in multi-label stacking nearest neighbor
MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for pancreas segmentation
NSE: Node sequence encoding for link prediction in heterogeneous graphs
Rethinking probability volume for multi-view stereo: A probability analysis method
Evolutionary digital twin model with an agent-based discrete-event simulation method
Effects of single and multiple imputation strategies on addressing over-fitting issues caused by imbalanced data from various scenarios
Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering
Active continual learning with Energy Alignment Sampling Strategy (EASS) for structural damage classification
NLC-block: Enhancing neural network training robustness with noisy label reweighting
New uncertainty measurement for a decision table with application to feature selection
A transfer learning-based fault diagnosis method for rolling bearings with variable operating conditions
N2PN: Non-reference two-pathway network for low-light image enhancement
Minimum interpretation by autoencoder-based serial and enhanced mutual information production
Pseudo-label growth dictionary pair learning for crowd counting
Probabilistic topic modeling for short text based on word embedding networks
Multi-view knowledge graph fusion via knowledge-aware attentional graph neural network
Automatic channel pruning via clustering and swarm intelligence optimization for CNN
Multi-granular document-level sentiment topic analysis for online reviews
LiDAR-based perception system for logistics in industrial environments
A mutual association based nonlinear ensemble mechanism for time series forecasting
Robust multi-view clustering in latent low-rank space with discrepancy induction
EIFDD: An efficient approach for erasable itemset mining of very dense datasets
BBBCO and fuzzy entropy based modified background subtraction algorithm for object detection in videos
Worst Case and a Distribution-Based Case Analyses of Sampling for Rule Discovery Based on Generality and Accuracy
Real-like synthetic sperm video generation from learned behaviors
Contrastive pre-training and instruction tuning for cross-lingual aspect-based sentiment analysis
Detecting broken receiver tubes in CSP plants using intelligent sampling and dual loss
Combining expert-based beliefs and answer sets
Deep random walk inspired multi-view graph convolutional networks for semi-supervised classification
GrapHiSM: a graph-based hierarchical semantics-driven model for aerial scene classification under scarcity of labelled samples
Retinal vessel segmentation based on self-distillation and implicit neural representation
Suboptimal nonlinear predictive control based on multivariable neural Hammerstein models
All the Truth About NEvAr
A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods
Negation of BPA: a belief interval approach and its application in medical pattern recognition
Twitter-aided decision making: a review of recent developments
Federated edge learning for medical image augmentation
Harris hawks optimizer based on the novice protection tournament for numerical and engineering optimization problems
Adaptive model training strategy for continuous classification of time series
A Framework for Dynamic Information Flow in Mixed-Initiative Human/Agent Organizations
Adaptive unsupervised deep learning denoising for medical imaging with unbiased estimation and Hessian-based regularization
Enhancing diversity and robustness of clustering ensemble via reliability weighted measure
DifNet: Difference-based multi-resolution decomposition for time series anomaly detection
Compatible intent-based interest modeling for personalized recommendation
A hybrid approach to large-scale job shop scheduling
An optimization method for task assignment for industrial manufacturing organizations
LSTMAE-DWSSLM: A unified approach for imbalanced time series data classification
Novel method for optimizing performance in resource constrained distributed data streams
From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19
Dynamic Ant Colony Optimisation
STDS: self-training data streams for mining limited labeled data in non-stationary environment
Automatic question-answer pairs generation and question similarity mechanism in question answering system
Scene-aware contrastive regression for multi-person action quality assessment
Component preserving laplacian eigenmaps for data reconstruction and dimensionality reduction
A BOA-based adaptive strategy with multi-party perspective for automated multilateral negotiations
A deep learning approach for person identification using ear biometrics
Progress in Intelligent Data Analysis
Correction to: Tri-channel visualised malicious code classification based on improved ResNet
An optimization methodology for machine learning strategies and regression problems in ballistic impact scenarios
A spatiotemporal fusion method based on two-stream high temporal sensitive convolutional neural network
Attribute reduction based on generalized weighted neighborhood rough sets in generalized interval set information systems
PERSIST: Improving micro-expression spotting using better feature encodings and multi-scale Gaussian TCN
DS-MSFF-Net: Dual-path self-attention multi-scale feature fusion network for CT image segmentation
Multi-information embedding based entity alignment
Social-RippleNet: Jointly modeling of ripple net and social information for recommendation
Online object-level SLAM with dual bundle adjustment
Dynamic interactive learning network for audio-visual event localization
TsDa-ASAM: Balancing efficiency and accuracy in coke image particle size segmentation via two-stage distillation-aware adaptive segment anything model
A reference points and intuitionistic fuzzy dominance based particle swarm algorithm for multi/many-objective optimization
A knowledge inference model for question answering on an incomplete knowledge graph
Heterogeneous domain adaptation with statistical distribution alignment and progressive pseudo label selection
Fast tensor robust principal component analysis with estimated multi-rank and Riemannian optimization
Novel social network community discovery method combined local distance with node rank optimization function
Understanding and improving zero-reference deep curve estimation for low-light image enhancement
A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making
A formally specified ontology management API as a registry for ubiquitous computing systems
KnowWE: a Semantic Wiki for knowledge engineering
Closed-loop push recovery for inexpensive humanoid robots
Computation and memory optimized spectral domain convolutional neural network for throughput and energy-efficient inference
The impact of traffic accidents on traffic capacity in weaving area of highway under the intelligent connected vehicle environment
Unsupervised person re-identification based on high-quality pseudo labels
Reinforcement learning with convolutional reservoir computing
An evolutionary algorithm for the discovery of rare class association rules in learning management systems
Hybrid network intrusion detection system based on sliding window and information entropy in imbalanced dataset
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear
HybridRec: A recommender system for tagging GitHub repositories
Many-objective optimization for large-scale EVs charging and discharging schedules considering travel convenience
Discovering Trends in Large Datasets Using Neural Networks
Hierarchical control of traffic signals using Q-learning with tile coding
DATrack: direction attention based transformer tracker
AMGCN: adaptive multigraph convolutional networks for traffic speed forecasting
A fast algorithm for complex discord searches in time series: HOT SAX Time
Recurrent neural networks integrate multiple graph operators for spatial time series prediction
Special Issue on Decision Theory and Artificial Intelligence
Recognition of Arabic (Indian) bank check digits using log-gabor filters
Recurrent networks with attention and convolutional networks for sentence representation and classification
Interactive group decision making method based on probabilistic hesitant Pythagorean fuzzy information representation
Noise cleaning for nonuniform ordinal labels based on inter-class distance
Partial label learning with noisy side information
Dynamic partition search algorithm for global numerical optimization
Teacher-student collaborative knowledge distillation for image classification
A Computer Vision System for Extravehicular Activity Helper/Retriever
LGCGNet: A local-global context guided network for real-time water surface semantic segmentation
Multi-type data fusion framework based on deep reinforcement learning for algorithmic trading
A meta-heuristic for topology optimization using probabilistic learning
Electromagnetism-like mechanism with collective animal behavior for multimodal optimization
Multi-UAV intelligent decision-making method with layer delay dual-center MAPPO for air combat
Efficient fuzzy ranking queries in uncertain databases
Low rank approximation with sparse integration of multiple manifolds for data representation
FedDKD: Federated learning with decentralized knowledge distillation
A connectionist approach to rule refinement
Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management
FEUI: Fusion Embedding for User Identification across social networks
Development of an expert-informed rig state classifier using naive bayes algorithm for invisible loss time measurement
A novel drift detection method using parallel detection and anti-noise techniques
A distance measure based intuitionistic triangular fuzzy multi-criteria group decision making method and its application
Research on a new optimization algorithm simulating multi- states of matter inspired by finite element analysis approach
Buffer-based adaptive fuzzy classifier
Human identification based on Gait Manifold
Cognitive radio resource scheduling using an adaptive multiobjective evolutionary algorithm
Communication-efficient federated learning based on compressed sensing and ternary quantization
Solving stochastic nonlinear resource allocation problems using continuous learning automata
An enhanced class topper algorithm based on particle swarm optimizer for global optimization
A niche-elimination operation based NSGA-III algorithm for many-objective optimization
A novel recurrent neural network-based prediction system for option trading and hedging
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications
Salient double reconstruction-based discriminative projective dictionary pair learning for crowd counting
Image super-resolution reconstruction based on feature map attention mechanism
Mutual match for semi-supervised online evolutive learning
SQLSketch-TVC: Type, value and compatibility based approach for SQL queries
A framework for proposing a liquid stock portfolio using frequent itemset mining from time-series data
DDTCN: Decomposed dimension time-domain convolutional neural network along spatial dimensions for multiple long-term series forecasting
Consistent fuzzy preference relation with geometric Bonferroni mean: a fused preference method for assessing the quality of life
A comprehensive model and computational methods to improve Situation Awareness in Intelligence scenarios
Distributed learning for supervised multiview feature selection
Mastering table tennis with hierarchy: a reinforcement learning approach with progressive self-play training
Uncertainty-aware enhanced dark experience replay for continual learning
Reverse survival model (RSM): a pipeline for explaining predictions of deep survival models
BRGR: Multi-agent cooperative reinforcement learning with bidirectional real-time gain representation
Learning with noisy labels via logit adjustment based on gradient prior method
Encoding feature set information in heterogeneous graph neural networks for game provenance
A hybrid CNN-transformer network with difference enhancement and frequency fusion for remote sensing image change detection
Self-supervised heterogeneous graph neural network based on deep and broad neighborhood encoding
ExpSeeker: extract public exploit code information from social media
An adaptive decentralized control strategy for deployment and aggregation of swarm robots based on bacterial chemotaxis
Deep learning method for efficient cloud IDS utilizing combined behavior and flow-based features