yusuke1997/dblp-id-title huggingface dataset:
Intelligent fault diagnosis of rolling bearing based on novel CNN model considering data imbalance
A new dominance relation based on convergence indicators and niching for many-objective optimization
The neuro-dynamic scheme for solving general form of discrete time optimal control problems
A transfer-learning approach for corrosion prediction in pipeline infrastructures
Estimation of 3-D human body posture via co-registration of 3-D human model and sequential stereo information
Multi-criteria decision making in Pythagorean fuzzy environment
Ensemble based fully convolutional transformer network for time series classification
Mining microarray gene expression data with unsupervised possibilistic clustering and proximity graphs
A corner point-based algorithm to solve constrained multi-objective optimization problems
Prediction interval estimation of landslide displacement using adaptive chicken swarm optimization-tuned support vector machines
Task-related network based on meta-learning for few-shot knowledge graph completion
REBDT: A regular expression boundary-based decision tree model for Chinese logistics address segmentation
Learning using granularity statistical invariants for classification
IMCN: Improved modular co-attention networks for visual question answering
Generate adversarial examples by adaptive moment iterative fast gradient sign method
An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function
Domain generalization based on domain-specific adversarial learning
ST-A G P: Spatio-Temporal aggregator predictor model for multi-step taxi-demand prediction in cities
Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications
Applying correlation to enhance boosting technique using genetic programming as base learner
Location algorithm of transfer stations based on density peak and outlier detection
Medical diagnosis with the aid of using fuzzy logic and intuitionistic fuzzy logic
SybilSort algorithm - a friend request decision tracking recommender system in online social networks
IGA-SOMK + + : a new clustering method for constructing web user profiles of older adults in China
The updating methods of object-induced three-way concept in dynamic formal contexts
Towards a unified framework for imperceptible textual attacks
An improved belief Hellinger divergence for Dempster-Shafer theory and its application in multi-source information fusion
Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data
Heterogeneous information network-based interest composition with graph neural network for recommendation
An enhanced seagull optimization algorithm for solving engineering optimization problems
Online local fisher risk minimization: a new online kernel method for online classification
A semi-automated system for person re-identification adaptation to cross-outfit and cross-posture scenarios
Distance and distance induced intuitionistic entropy of generalized intuitionistic fuzzy soft sets
A multiagent player system composed by expert agents in specific game stages operating in high performance environment
Boosted support vector machines with genetic selection
3D-FaIR: 3D facial imperfection regeneration with defects by fully convolutional mesh autoencoder
Neural-Fuzzy Models for Multispectral Image Analysis
Neighborhood search based improved bat algorithm for data clustering
How effective is the Grey Wolf optimizer in training multi-layer perceptrons
High-performance medical image secret sharing using super-resolution for CAD systems
Social-path embedding-based transformer for graduation development prediction
A dynamic matrix equation solution method based on NCBC-ZNN and its application on hyperspectral image multi-target detection
Semi-supervised batch active learning based on mutual information
Diversity-induced consensus and structured graph learning for multi-view clustering
An improved U-Net method for the semantic segmentation of remote sensing images
Hyperspectral image classification using multi-level features fusion capsule network with a dense structure
Application of switching-input LSTM network for vessel trajectory prediction
Mixed attention dense network for sketch classification
Explicit feedback meet with implicit feedback in GPMF: a generalized probabilistic matrix factorization model for recommendation
Statistical image watermark decoder by modeling local RDWT difference domain singular values with bivariate weighted Weibull distribution
Dunhuang murals contour generation network based on convolution and self-attention fusion
Extension of Petri Nets for Representing and Reasoning with Tasks with Imprecise Durations
Linear self-attention with multi-relational graph for knowledge graph completion
A learning artificial visual system and its application to orientation detection
Histopathological image classification using enhanced bag-of-feature with spiral biogeography-based optimization
Interactive Case-Based Reasoning in Sequential Diagnosis
A novel similarity measure on intuitionistic fuzzy sets with its applications
Distributed dictionary learning for industrial process monitoring with big data
A comparison of failure-handling approaches for planning systems - Replanning vs. recovery
Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays
Research on small-scale face detection methods in dense scenes
Audio-visual aligned saliency model for omnidirectional video with implicit neural representation learning
Object interaction-based surveillance video synopsis
A new approach based on possibilistic programming technique and fractile optimization for bilevel programming in a hybrid uncertain circumstance
Single-image Deraining via a channel memory network
Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data
Evolutionary Design Systems and Generative Processes
ν-twin support vector machine with Universum data for classification
HydaLearn
Big data-driven large-scale group decision-making under uncertainty (BiGDM-U)
An fMRI-based auditory decoding framework combined with convolutional neural network for predicting the semantics of real-life sounds from brain activity
Reinforcement learning-based image exposure reconstruction for homography estimation
A multi-focus image fusion network with local-global joint attention module
A shared updatable method of content regulation for deepfake videos based on blockchain
Quantifying quality of class-conditional generative models in time series domain
A novel context inconsistency elimination algorithm based on the optimized Dempster-Shafer evidence theory for context-awareness systems
A novel active multi-source transfer learning algorithm for time series forecasting
The Application of Connectionist Structures to Learning Impedance Control in Robotic Contact Tasks
A novel dynamic interpolation method based on both temporal and spatial correlations
Multi-objective artificial bee algorithm based on decomposition by PBI method
Feature selection accelerated convolutional neural networks for visual tracking
A joint model based on interactive gate mechanism for spoken language understanding
Automated gender classification from handwriting: a systematic survey
Generative model based robotic grasp pose prediction with limited dataset
TL-FCM: A hierarchical prediction model based on two-level fuzzy c-means clustering for bike-sharing system
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks
How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier?
Incremental regularized Data Density-Based Clustering neural networks to aid in the construction of effort forecasting systems in software development
Adaptive illumination normalization via adaptive illumination preprocessing and modified weber-face
Improved initial vertex ordering for exact maximum clique search
A generalized model for financial time series representation and prediction
Discovering varying patterns of Normal and interleaved ADLs in smart homes
MIGCL: Fake news detection with multimodal interaction and graph contrastive learning networks
An improved extreme learning machine model for the prediction of human scenarios in smart homes
Knowledge interaction graph guided prompting for event causality identification
Missing data imputation by K nearest neighbours based on grey relational structure and mutual information
Complex visual question answering based on uniform form and content
Research on heterogeneous multi-UAV collaborative decision-making method based on improved PPO
Towards identifying unresolved discussions in student online forums
Collaborative Multiagent Adaptation for Business Environmental Scanning Through the Internet
Multimodal feature adaptive fusion for anchor-free 3D object detection
A unified approach for detection of Clickbait videos on YouTube using cognitive evidences
Traffic speed prediction: spatiotemporal convolution network based on long-term, short-term and spatial features
Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics
Pose-guided action recognition in static images using lie-group
Deep transition network with gating mechanism for multivariate time series forecasting
Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios
Metaheuristic-based time series clustering for anomaly detection in manufacturing industry
Novel discrete initial-boosted Tabu learning neuron: dynamical analysis, DSP implementation, and batch medical image encryption
Semi-supervised weighting for averaged one-dependence estimators
Discrete time neural networks
A new approach for APT malware detection based on deep graph network for endpoint systems
Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs
Time-aware deep reinforcement learning with multi-temporal abstraction
EpiRiskNet: incorporating graph structure and static data as prior knowledge for improved time-series forecasting
KG-DTI: a knowledge graph based deep learning method for drug-target interaction predictions and Alzheimer's disease drug repositions
A formal proof of the 𝜀-optimality of discretized pursuit algorithms
Burst super-resolution with adaptive feature refinement and enhanced group up-sampling
A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem
Sentiment analysis for customer relationship management: an incremental learning approach
Deep subspace image clustering network with self-expression and self-supervision
Vision-based attention deep q-network with prior-based knowledge
A weighted intrusion detection model of dynamic selection
Block-matching algorithm based on harmony search optimization for motion estimation
Semantic and syntactic analysis in learning representation based on a sentiment analysis model
Multi-view multi-objective clustering-based framework for scientific document summarization using citation context
User and item spaces transfer from additional domains for cross-domain recommender systems
Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix
A hybrid user-based collaborative filtering algorithm with topic model
A neural network approach to audio data hiding based on perceptual masking model of the human auditory system
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection
STNR: A suffix tree based noise resilient algorithm for periodicity detection in time series databases
Non-local modeling of enhancer-promoter interactions, a correspondence on "LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions"
Learning States and Rules for Detecting Anomalies in Time Series
Deep survival forests for extremely high censored data
Effective credit assignment deep policy gradient multi-agent reinforcement learning for vehicle dispatch
Multi-kernel partial label learning using graph contrast disambiguation
Traffic signal optimization control method based on adaptive weighted averaged double deep Q network
An improved dynamic Chebyshev graph convolution network for traffic flow prediction with spatial-temporal attention
Backtracking biogeography-based optimization for numerical optimization and mechanical design problems
SAT-Net: a side attention network for retinal image segmentation
Additive consistent triangular fuzzy preference relation and likelihood comparison algorithm based group decision making
Genetic folding for solving multiclass SVM problems
Orthogonal and spherical quaternion features for weakly supervised learning with label confidence optimization
Local Search Genetic Algorithms for the Job Shop Scheduling Problem
Mining bridging rules between conceptual clusters
Joint-wise 2D to 3D lifting for hand pose estimation from a single RGB image
A new non-adaptive optimization method: Stochastic gradient descent with momentum and difference
Prototype-based management of business process exception cases
GaitLRDF: gait recognition via local relevant feature representation and discriminative feature learning
Supervised training database for building recognition by using cross ratio invariance and SVD-based method
A novel intrusion detection approach learned from the change of antibody concentration in biological immune response
EDIR: an expert method for describing image regions based on knowledge distillation and triple fusion
Universal Model Adaptation by Style Augmented Open-set Consistency
Interval type-2 fuzzy weighted support vector machine learning for energy efficient biped walking
Outlier detection based on granular computing and rough set theory
Requirement-service mapping technology in the industrial application field based on large language models
Explainable knowledge integrated sequence model for detecting fake online reviews
MTSDet: multi-scale traffic sign detection with attention and path aggregation
A scale-cross non-local network with higher-level semantics guidance for smoke segmentation
Correction to: Unlabeled PCA-shuffling initialization for convolutional neural networks
Automatic extraction of acronym definitions from the Web
Structural decomposition-based learning of large bayesian networks for detecting conditionally independent overlapping superstructure communities
Flying Together: Modelling Air Mission Teams
Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches
POS-ATAEPE-BiLSTM: an aspect-based sentiment analysis algorithm considering part-of-speech embedding
A PL-MCDM Method based on the Decision-Making Reliability of Multi-Group for Patients with Chronic Diseases Requiring Downward Referral
ExpertGuide: A Conversational Case-Based Reasoning Tool for Developing Mentors in Knowledge Spaces
Improving action quality assessment with across-staged temporal reasoning on imbalanced data
CLSS: An Intelligent Crane Lorry Scheduling System
RED: Learning the role embedding in networks via Discrete-time quantum walk
Multi-Scale Image Super-Resolution via Hierarchical Filter Groups
Learning and exploiting concept networks with ConNeKTion
Amplification methods to promote the attacks against machine learning-based intrusion detection systems
Bi-hemisphere asymmetric attention network: recognizing emotion from EEG signals based on the transformer
PD-GATv2: positive difference second generation graph attention network based on multi-granularity in information systems to classification
Spatial-temporal clustering enhanced multi-graph convolutional network for traffic flow prediction
Some novel hybrid forecast methods based on picture fuzzy clustering for weather nowcasting from satellite image sequences
Regularized supervised novelty detection and its application in activity monitoring
Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification
Extended approach by using best-worst method on the basis of importance-necessity concept and its application
An improved quantum-behaved particle swarm optimization algorithm
Predicting faults in diesel engines with kernel machines regression techniques
BTD-RF: 3D scene reconstruction using block-term tensor decomposition
Real-numbered singular matrix transformation for non-invertible and cancelable biometric templates
Trajectory prediction and tracking using a multi-behaviour social particle filter
3D Industrial anomaly detection via dual reconstruction network
A decision support tool coupling a causal model and a multi-objective genetic algorithm
Legal judgment prediction via optimized multi-task learning fusing similarity correlation
Deep learning based computer aided diagnosis (CAD) tool supported by explainable artificial intelligence for breast cancer exploration
View incremental decremental multi-view discriminant analysis
An effective asynchronous framework for small scale reinforcement learning problems
Sentiment analysis: dynamic and temporal clustering of product reviews
Link prediction based on sampling in complex networks
Assessing action quality with semantic-sequence performance regression and densely distributed sample weighting
Kernel nonnegative representation-based classifier
MTT: an efficient model for encrypted network traffic classification using multi-task transformer
Progressive kernel pruning CNN compression method with an adjustable input channel
Swift-SegEdgeNet: an edge guided multi-task learning network for road extraction from remote sensing images
EBL: Efficient background learning for x-ray security inspection
Parameter identification of robot manipulators with unknown payloads using an improved chaotic sparrow search algorithm
A new complete color normalization method for H&E stained histopatholgical images
An intelligent intrusion detection system
3D reconstruction system and multiobject local tracking algorithm designed for billiards
A data mining approach for machine fault diagnosis based on associated frequency patterns
Dual adaptive alignment and partitioning network for visible and infrared cross-modality person re-identification
Dual deep Q-learning network guiding a multiagent path planning approach for virtual fire emergency scenarios
Dynamic bee colony algorithm based on multi-species co-evolution
Frame importance and temporal memory effect-based fast video quality assessment for user-generated content
Symbolic representation of three-dimensional objects to aid local and global shape analysis for defect prediction of casting design
Utilizing structured knowledge bases in open IE based event template extraction
Hypersphere anchor loss for K-Nearest neighbors
Fooling machine learning models: a novel out-of-distribution attack through generative adversarial networks
Attribute and label distribution driven multi-label active learning
An element-wise kernel learning framework
Unsupervised attribute reduction algorithm framework based on spectral clustering and attribute significance function
Potential field method to navigate several mobile robots
Integrating short-term stochastic production planning updating with mining fleet management in industrial mining complexes: an actor-critic reinforcement learning approach
Multi-kernel one class link prediction in heterogeneous complex networks
A novel self-weighted Lasso and its safe screening rule
A trust-based service suggestion system using human plausible reasoning
Sparse pinball Universum nonparallel support vector machine and its safe screening rule
Mining software defect data to support software testing management
Kernelized global-local discriminant information preservation for unsupervised domain adaptation
A multichannel location-aware interaction network for visual classification
Heterogeneous graph neural network with graph-data augmentation and adaptive denoising
A multi-view deep learning model for pathology image diagnosis
Overlapping community detection using core label propagation algorithm and belonging functions
TIAR: Text-Image-Audio Retrieval with weighted multimodal re-ranking
Optimizing offset-regression by relay point for bottom-up human pose estimation
The MAMe dataset: on the relevance of high resolution and variable shape image properties
STGHTN: Spatial-temporal gated hybrid transformer network for traffic flow forecasting
Revisiting clustering for efficient unsupervised dialogue structure induction
Robust visual tracking for UAVs with dynamic feature weight selection
Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network
A multi-semantic passing framework for semi-supervised long text classification
Multi-perspective semantic decoupling and enhancement in graph attention network for knowledge graph completion
Mining constrained inter-sequence patterns: a novel approach to cope with item constraints
Virtual machine placement based on multi-objective reinforcement learning
Positive feedback loops lead to concept drift in machine learning systems
Parameterized multi-perspective graph learning network for temporal sentence grounding in videos
Reinforcement-learning-based decentralized event-triggered control of partially unknown nonlinear interconnected systems with state constraints
Processing data stream with chunk-similarity model selection
Learning evolving relations for multivariate time series forecasting
A new particle swarm optimization algorithm for fuzzy optimization of armored vehicle scheme design
Linguistic frequent pattern mining using a compressed structure
Solving microelectronic thermal management problems using a generalized spiral optimization algorithm
Fast, yet robust end-to-end camera pose estimation for robotic applications
Convolutional neural networks for advanced adhesive joints application patterns
Semantic ranking structure preserving for cross-modal retrieval
A source free domain adaptation model based on adversarial learning for image classification
Part-and-whole: A novel framework for deformable medical image registration
The use of genetic programming for the construction of a financial management model in an enterprise
Cancer classification using ensemble of neural networks with multiple significant gene subsets
New method for solving reviewer assignment problem using type-2 fuzzy sets and fuzzy functions
A novel cuckoo search algorithm with multiple update rules
Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm
Mitigating selection bias in counterfactual prediction through self-supervised domain embedding learning with virtual samples
Exact multi-length scale and mean invariant motif discovery
A bayesian belief network based model for predicting software faults in early phase of software development process
AP-BERT: enhanced pre-trained model through average pooling
Weighted graph convolution over dependency trees for nontaxonomic relation extraction on public opinion information
Semi-supervised machine learning approach for DDoS detection
Multi-target opinion words extraction
Research on scale adaptive particle filter tracker with feature integration
Semi-supervised medical imaging segmentation with soft pseudo-label fusion
Correction to: Incremental maintenance of three-way regions with variations of objects and values in hybrid incomplete decision systems
Graph-in-graph discriminative feature enhancement network for fine-grained visual classification
Windows deep transformer Q-networks: an extended variance reduction architecture for partially observable reinforcement learning
Cyclic deformable medical image registration with prompt: deep fusion of diffeomorphic and transformer methods
Cross-covariance based affinity for graphs
Multi-city traffic flow forecasting via multi-task learning
An effective dynamic spatiotemporal framework with external features information for traffic prediction