yusuke1997/dblp-id-title huggingface dataset:
Sampled-data control for synchronization of Markovian jumping neural networks with packet dropout
SelfPAB: large-scale pre-training on accelerometer data for human activity recognition
Adversarial network embedding with bootstrapped representations for sparse networks
On evaluation trials in speaker verification
WSAGrad: a novel adaptive gradient based method
Sine and cosine based learning rate for gradient descent method
A differential evolution algorithm with dual preferred learning mutation
Attribute susceptibility and entropy based data anonymization to improve users community privacy and utility in publishing data
High-density pedestrian detection algorithm based on deep information fusion
ELM: a novel ensemble learning method for multi-target regression and multi-label classification problems
Fuzzy entropy and fuzzy support-based boosting random forests for imbalanced data
A dynamic region-division based pricing strategy in ride-hailing
Deep learning based 3D target detection for indoor scenes
A novel image retrieval scheme using gray level co-occurrence matrix descriptors of discrete cosine transform based residual image
Multi-agent dual actor-critic framework for reinforcement learning navigation
Few-shot object detection via dynamic feature enhancement and attention template matching
A real-time and lightweight driver fatigue detection model using anchor-free and visual-attention mechanisms
Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions
Structurally incoherent adaptive weighted low-rank matrix decomposition for image classification
Dual-attention-transformer-based semantic reranking for large-scale image localization
3DGCformer: 3-Dimensional Graph Convolutional transformer for multi-step origin-destination matrix forecasting
Correction to: Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
Spatial Reasoning About Points in a Multidimensional Setting
Behavioural synthesis of SGD using the CCC framework: a simple XOR-solving MLP
A multi-label text classification method via dynamic semantic representation model and deep neural network
A robust fusion algorithm of LBP and IMF with recursive feature elimination-based ECG processing for QRS and arrhythmia detection
Stochastic gradient accelerated by negative momentum for training deep neural networks
Weighted frequent itemset mining over uncertain databases
Points-of-interest recommendation based on convolution matrix factorization
Auto CNN classifier based on knowledge transferred from self-supervised model
Providing upgrade plans for third-party libraries: a recommender system using migration graphs
Temporal resonant graph network for representation learning on dynamic graphs
PC-UNet: a pure convolutional UNet with channel shuffle average for medical image segmentation
A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm
A transformer-encoder-based multimodal multi-attention fusion network for sentiment analysis
Piecewise convolutional neural networks with position attention and similar bag attention for distant supervision relation extraction
A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network
Targeted aspects oriented topic modeling for short texts
Classification performance evaluation of single-layer perceptron with Choquet integral-based TOPSIS
The efficiency of the NSHPZ-HMM: theoretical and practical study
Advanced IDS: a comparative study of datasets and machine learning algorithms for network flow-based intrusion detection systems
Self-adaptive nonoverlapping sequential pattern mining
An adversarial transferability metric based on SVD of Jacobians to disentangle the correlation with robustness
Multi-dimensional requirements for reinforcement recommendation reasoning
Semi-supervised bi-orthogonal constraints dual-graph regularized NMF for subspace clustering
Adaptive spatial-temporal graph attention networks for traffic flow forecasting
Dirichlet and Liouville-based normality scores for deep anomaly detection using transformations: applications to images and beyond images
Group topic modeling for academic knowledge discovery
Visual representations with texts domain generalization for semantic segmentation
MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection
Offline-to-online reinforcement learning with policy ensemble and policy-extended value
A novel multi-level framework for anomaly detection in time series data
Adaptive deep Q-learning model for detecting social bots and influential users in online social networks
Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball
Robust graph convolutional networks with directional graph adversarial training
Hierarchical-enhanced graph convolutional networks leveraging causal inference for aspect-based sentiment analysis
Mining emotion soft factors in linguistic preference time sequences based on personalized individual semantics in group decision-making
GTIBS: secure smart home monitoring through gateway traffic analysis and behavioral signature identification
Unsupervised perturbation based self-supervised federated adversarial training
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach
Modified non-dominated sorting genetic algorithm III with fine final level selection
Structural enhanced information and its application to improved visualization of self-organizing maps
Improving cluster recovery with feature rescaling factors
A Hybrid Neural-Genetic Algorithm for the Frequency Assignment Problem in Satellite Communications
The Connectionist Inductive Learning and Logic Programming System
Adaptive graph regularized non-negative matrix factorization with self-weighted learning for data clustering
Change point detection for compositional multivariate data
A mechanics model based on information entropy for identifying influencers in complex networks
Transfer learning based evolutionary algorithm framework for multi-objective optimization problems
Intelligent control of photovoltaic system using BPSO-GSA-optimized neural network and fuzzy-based PID for maximum power point tracking
Phototropic algorithm for global optimisation problems
Online multi-object tracking using multi-function integration and tracking simulation training
Stepladder determinative brain storm optimization
Towards addressing unauthorized sharing of subscriptions
Integrating grid features and geometric coordinates for enhanced image captioning
SSCRL: fine-grained object retrieval with switched shifted centralized ranking loss
Sparse Gaussian Process regression model based on ℓ 1/2 regularization
Multi-intent autonomous decision-making for air combat with deep reinforcement learning
FPSRS: a fusion approach for paper submission recommendation system
Enhancing multi-level cross-modal interaction with false negative-aware contrastive learning for text-video retrieval
Blind inverse light transport using unrolling network
RARNet fusing image enhancement for real-world image rain removal
Cuckoo search based resource optimization of datacenters
A multi-criteria decision support system to evaluate the effectiveness of training courses on citizens' employability
A multi-focus image fusion method based on attention mechanism and supervised learning
Cross-sectional analysis and data-driven forecasting of confirmed COVID-19 cases
An output mapping variable fidelity metamodeling approach based on nested Latin hypercube design for complex engineering design optimization
Sparse low-rank approximation of matrix and local preservation for unsupervised image feature selection
A robot path tracking method based on manual guidance and path reinforcement learning
Distance measures between type-2 intuitionistic fuzzy sets and their application to multicriteria decision-making process
Structural least square twin support vector machine for classification
Cooperative Velocity Updating model based Particle Swarm Optimization
EGPT-SPE: story point effort estimation using improved GPT-2 by removing inefficient attention heads
Adversarial representation teaching with perturbation-agnostic student-teacher structure for semi-supervised learning
On anonymizing transactions with sensitive items
TD-Net: unsupervised medical image registration network based on Transformer and CNN
Reinforced exploitation and exploration grey wolf optimizer for numerical and real-world optimization problems
Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network
Improved multi-objective particle swarm optimization algorithm for optimizing watermark strength in color image watermarking
A feature-level full-reference image denoising quality assessment method based on joint sparse representation
ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback
Compact Unstructured Representations for Evolutionary Design
Trine: Syslog anomaly detection with three transformer encoders in one generative adversarial network
A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance
RMAN: Relational multi-head attention neural network for joint extraction of entities and relations
More efficient two-mode stochastic local search for random 3-satisfiability
Approximate inference for dynamic Bayesian networks: sliding window approach
DIG: dual interaction and guidance network for salient object detection
Semantic- and relation-based graph neural network for knowledge graph completion
SFNS: Spatial-frequency image noise suppression for low-power industrial cone-beam computed tomography
Semantic-assisted report generation with memory enhanced transformer using context-aware visual extractor
Attribute self-representation steered by exclusive lasso for zero-shot learning
Semantic similarity estimation from multiple ontologies
An ensemble discrete water wave optimization algorithm for the blocking flow-shop scheduling problem with makespan criterion
Quantum-inspired complex convolutional neural networks
3P-ECLAT: mining partial periodic patterns in columnar temporal databases
Augmented domain agreement for adaptable Meta-Learner on Few-Shot classification
Multi-scale dual-stream visual feature extraction and graph reasoning for visual question answering
Effects of haze and dehazing on deep learning-based vision models
Masked co-attention model for audio-visual event localization
Image Processing Using RBF like Neural Networks: A ZISC-036 Based Fully Parallel Implementation Solving Real World and Real Complexity Industrial Problems
Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study
Feature selection techniques in the context of big data: taxonomy and analysis
Discovering probabilistically weighted sequential patterns in uncertain databases
A clustering-based archive handling method and multi-objective optimization of the optimal power flow problem
Turning traffic volume imputation for persistent missing patterns with GNNs
Out-of-time cross-validation strategies for classification in the presence of dataset shift
Multi-scale affined-HOF and dimension selection for view-unconstrained action recognition
An improved feature selection method based on angle-guided multi-objective PSO and feature-label mutual information
A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control
On minimizing coding operations in network coding based multicast: an evolutionary algorithm
Improving Parallel Ordering of Sparse Matrices Using Genetic Algorithms
JointGraph: joint pre-training framework for traffic forecasting with spatial-temporal gating diffusion graph attention network
Decomposition dynamic multi-graph convolutional recurrent network for traffic forecasting
Web user profiles with time-decay and prototyping
Interpreting a deep reinforcement learning model with conceptual embedding and performance analysis
Cooperative driving: an ant colony system for autonomous intersection management
Dual local learning regularized NMF with sparse and orthogonal constraints
On Machine Learning Methods for Chinese Document Categorization
Adaptive graph nonnegative matrix factorization with the self-paced regularization
STMT: Spatio-temporal memory transformer for multi-object tracking
Feature ranking based consensus clustering for feature subset selection
Preference relation based collaborative filtering with graph aggregation for group recommender system
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
An event-based opinion summarization model for long chinese text with sentiment awareness and parameter fusion mechanism
DSSLNet: dual-stream self-supervised learning network for end-to-end speech recognition
RDC-SAL: Refine distance compensating with quantum scale-aware learning for crowd counting and localization
Teaching performance evaluation by means of a hierarchical multifactorial evaluation model based on type-2 fuzzy sets
Interactive machine learning: experimental evidence for the human in the algorithmic loop - A case study on Ant Colony Optimization
Improved transferability of self-supervised learning models through batch normalization finetuning
Nearest-Neighbours for Time Series
Spatio-temporal attention-based hybrid deep network for time series prediction of industrial process
Minimum positive influence dominating set and its application in influence maximization: a learning automata approach
ExpRec: Deep knowledge-awared question routing in software question answering community
Column coordinate based dynamic gain aging-aware quantized iterative learning control
Joint dictionary and graph learning for unsupervised feature selection
Heuristics, Answer Set Programming and Markov Decision Process for Solving a Set of Spatial Puzzles
Context-and category-aware double self-attention model for next POI recommendation
DaCo: domain-agnostic contrastive learning for visual place recognition
A better-response strategy for self-interested planning agents
A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis
Modified Cuckoo Optimization Algorithm (MCOA) to solve Precedence Constrained Sequencing Problem (PCSP)
Modal complementary fusion network for RGB-T salient object detection
A link prediction algorithm based on ant colony optimization
Service selection in stochastic environments: a learning-automaton based solution
An adversarial training-based mutual information constraint method
Multimodal and multi-objective optimization algorithm based on two-stage search framework
An aspect-opinion joint extraction model for target-oriented opinion words extraction on global space
Incorporating reliable virtual ratings into social recommendation systems
ConvNet combined with minimum weighted random search algorithm for improving the domain shift problem of image recognition model
Cost-sensitive microbial data augmentation through matrix factorization
Decoupled pre-training and multi-modality fusion for fine-grained action quality assessment
Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution
IV-GNN : interval valued data handling using graph neural network
A probabilistic inference model for recommender systems
An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problems
Efficient and stable deep reinforcement learning: selective priority timing entropy
A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations
Hybrid clustering analysis using improved krill herd algorithm
A virtual human agent model with behaviour based on feeling exhaustion
The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition
Visual contextual relationship augmented transformer for image captioning
An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis
Face aging with pixel-level alignment GAN
Multi-scale attention context-aware network for detection and localization of image splicing
Bacterial foraging optimization based on improved chemotaxis process and novel swarming strategy
A dual-pathway transformer utilizing dynamic weighting strategy for time series forecasting
Towards a bridge between cost and wealth in risk-aware planning
Shallow quantum neural networks (SQNNs) with application to crack identification
Forecasting the abnormal events at well drilling with machine learning
Novel hybrid SVM-TLBO forecasting model incorporating dimensionality reduction techniques
An improved decision tree algorithm based on boundary mixed attribute dependency
Machine learning-based assessment of diabetes risk
Siamese few-shot network: a novel and efficient network for medical image segmentation
Rehabilitation robot following motion control algorithm based on human behavior intention
An explication of uncertain evidence in Bayesian networks: likelihood evidence and probabilistic evidence - Uncertain evidence in Bayesian networks
Boosting sparsely annotated shadow detection
Discrete Salp Swarm Algorithm for Euclidean Travelling Salesman Problem
An evolution strategy with tailor-made mutation operator for colored balanced traveling salesman problem
Learning general temporal point processes based on dynamic weight generation
A swarm intelligent method for traffic light scheduling: application to real urban traffic networks
Some bibliometric procedures for analyzing and evaluating research fields
Genetic Mining of HTML Structures for Effective Web-Document Retrieval
Multi-agent deep reinforcement learning with type-based hierarchical group communication
Adaptive distractor-aware for siamese tracking via enhancement confidence evaluator
Distributed representations based collaborative filtering with reviews
An effective two-stage channel pruning method based on two-dimensional information entropy
Causal graph convolution neural differential equation for spatio-temporal time series prediction
An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time
Lung cancer detection using enhanced segmentation accuracy
Enhancing suicidal ideation detection through advanced feature selection and stacked deep learning models
Data augmentation for thermal infrared object detection with cascade pyramid generative adversarial network
Angular triangle distance for ordinal metric learning
A fine-grained causality extraction model incorporating relative location coding
Global and local co-attention networks enhanced by learning state for knowledge tracing
Reductive and effective discriminative information-based nonparallel support vector machine
Hybrid identification method for fractional-order nonlinear systems based on the multi-innovation principle
An improving reasoning network for complex question answering over temporal knowledge graphs
Dynamic group-based differential evolution using a self-adaptive strategy for global optimization problems
An autoencoder considering multi-order and structural-role similarity for community detection in attributed networks
Diffattack-X: An effective transferable adversarial attack based on diffusion models
An iterative 3D human body reconstruction method driven by personalized dimensional prior knowledge
Entity clustering-based meta-learning for link prediction in evolutionary fault diagnosis event graphs
Retraction Note: Query-oriented topical influential users detection for top-k trending topics in twitter
Citation count prediction as a link prediction problem
An algorithm with harmonious blending of distributed swarm intelligence and geometric Brownian motion for greener heterogeneous scheduling
Dyna-PPO reinforcement learning with Gaussian process for the continuous action decision-making in autonomous driving
Multi-dimensional time-dependent dynamic graph neural network for metro passenger flow prediction
Evolutionary algorithms for route selection and rate allocation in multirate multicast networks
Advancing precision in breast cancer detection: a fusion of vision transformers and CNNs for calcification mammography classification
Deep attention framework for retweet prediction enriched with causal inferences
Representing Allen's Properties, Events, and Processes
Dual cross transformer based on multi-scale fusion for fine-grained action recognition
An agent-based model to study compliance with safety regulations at an airline ground service organization
A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks
BiG2S: A dual task graph-to-sequence model for the end-to-end template-free reaction prediction
Pseudo-label meta-learner in semi-supervised few-shot learning for remote sensing image scene classification
A bi-level optimized charging algorithm for energy depletion avoidance in wireless rechargeable sensor networks
MAPJA: Multi-agent planning with joint actions
ERR.Rank: An algorithm based on learning to rank for direct optimization of Expected Reciprocal Rank
Context-aware cross feature attentive network for click-through rate predictions
Long term and short term forecasting of horticultural produce based on the LSTM network model
Dual generative adversarial active learning
An improved FCM clustering algorithm with adaptive weights based on PSO-TVAC algorithm
Self-supervised and semi-supervised learning for few-shot specific emitter identification using CNN-transformer with virtual adversarial training
Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering
Learning a dual-branch classifier for class incremental learning
A multi-branch attention and alignment network for person re-identification
Bi-attention network for bi-directional salient object detection
Bibliometric analysis on Brain-computer interfaces in a 30-year period
Video representation learning by identifying spatio-temporal transformations
Efficient high utility itemset mining using buffered utility-lists
Image-format-independent tampered image detection based on overlapping concurrent directional patterns and neural networks
Variational graph neural network with diffusion prior for link prediction
Structured pruning via feature channels similarity and mutual learning for convolutional neural network compression
Rethinking the role of attention mechanism: a causality perspective
STGFP: information enhanced spatio-temporal graph neural network for traffic flow prediction
STGMN: A gated multi-graph convolutional network framework for traffic flow prediction
An efficient center-based method for real-time pig posture recognition and tracking
ETransCap: efficient transformer for image captioning
Foreformer: an enhanced transformer-based framework for multivariate time series forecasting
MMNet: A multi-scale deep learning network for the left ventricular segmentation of cardiac MRI images
From spatial to semantic: attribute-aware fashion similarity learning via iterative positioning and attribute diverging
Catalysis of neural activation functions: Adaptive feed-forward training for big data applications
Bayesian model averaging for river flow prediction
Freeway optimal control based on emission oriented microscopic graph convolutional neural network
GRFlift: uplift modeling for multi-treatment within GMV constraints
A deep learning-based approach for the automated surface inspection of copper clad laminate images
Efficient relational context perception for knowledge graph completion
A reversed node ranking approach for influence maximization in social networks
Fine-grained visual classification network based on dual-branch feature extraction and multi-feature fusion
Learning via human feedback in continuous state and action spaces
Multifactorial modality fusion network for multimodal recommendation