yusuke1997/dblp-id-title huggingface dataset:
SymforNet: application of cross-modal information correspondences based on self-supervision in symbolic music generation
A novel method for combining conflicting evidences based on information entropy
Soft voting technique to improve the performance of global filter based feature selection in text corpus
Adaptive optimal safety tracking control for multiplayer mixed zero-sum games of continuous-time systems
A L1 based probabilistic merging algorithm and its application to statistical matching
A bi-stage feature selection approach for COVID-19 prediction using chest CT images
A Scalable Intelligent Takeoff Controller for a Simulated Running Jointed Leg
Multiresolution feature guidance based transformer for anomaly detection
AuGQ: Augmented quantization granularity to overcome accuracy degradation for sub-byte quantized deep neural networks
Limited text speech synthesis with electroglottograph based on Bi-LSTM and modified Tacotron-2
Local community detection based on influence maximization in dynamic networks
Differentiating broadcast from viral: a causal inference approach for information diffusion analysis
Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy
OAN-DA: online adaptive learning with distribution awareness for continuous time series forecasting
Multimodal biometric decision fusion security technique to evade immoral social networking sites for minors
A digital twin-based framework for load identification using odd harmonic current plots
Comparison based analysis of window approach for concept drift detection and adaptation
Distant context aware text generation from abstract meaning representation
Dataset authorization control: protect the intellectual property of dataset via reversible feature space adversarial examples
Time-aware sequence model for next-item recommendation
MASE-BDI: agent-based simulator for environmental land change with efficient and parallel auto-tuning
Vision-based rock-type classification of limestone using multi-class support vector machine
A novel hybrid score level and decision level fusion scheme for cancelable multi-biometric verification
A multi-label learning prediction model for heart failure in patients with atrial fibrillation based on expert knowledge of disease duration
Ant Colony Optimization with Global Pheromone Evaluation for Scheduling a Single Machine
Automating the Diagnosis and Rectification of Deflection Yoke Production Using Hybrid Knowledge Acquisition and Case-Based Reasoning
Visual tracking for UAV using adaptive spatio-temporal regularized correlation filters
Multi levels semantic architecture for multimodal interaction
Dynamic knowledge graph based fake-review detection
Descriptor-based T-S fuzzy fault-tolerant control for delayed systems with immeasurable premise variables
Kernel-based discriminative elastic embedding algorithm
Depression and anorexia detection in social media as a one-class classification problem
Attention-based residual autoencoder for video anomaly detection
OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation
A novel metal futures forecasting system based on wavelet packet decomposition and stochastic deep learning model
Dueling double deep Q-network-based stamping resources intelligent scheduling for automobile manufacturing in cloud manufacturing environment
Hierarchical kernelized movement primitives for learning human-robot collaborative trajectories in referred object handover
Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution
Scatter search technique for exam timetabling
Attention based trajectory prediction method under the air combat environment
LSTM-TC: Bitcoin coin mixing detection method with a high recall
Scnet: spectral convolutional networks for multivariate time series classification
Copy-move tampering detection using keypoint based hybrid feature extraction and improved transformation model
Boosting deep cross-modal retrieval hashing with adversarially robust training
TITD: enhancing optimized temporal position encoding with time intervals and temporal decay in irregular time series forecasting
Efficient heuristics for learning scalable Bayesian network classifier from labeled and unlabeled data
A few-shot transfer learning approach using text-label embedding with legal attributes for law article prediction
Dynamic brain effective connectivity network for identifying neurological disorders
Multi-source inverse-curriculum-based training for low-resource dialogue generation
Automated major depressive disorder detection using melamine pattern with EEG signals
MFSRNet: spatial-angular correlation retaining for light field super-resolution
FT-FVC: fast transformation-based feature vector concatenation for time series classification
Transformer-based neural marked spatio temporal point process model for analyzing football match events
A hybrid tensor factorization approach for QoS prediction in time-aware mobile edge computing
Cancer classification from serial analysis of gene expression with event models
A multiobjective multiperiod mean-semientropy-skewness model for uncertain portfolio selection
KISTCM: knowledge discovery system for traditional Chinese medicine
Proportional data modeling via entropy-based variational bayes learning of mixture models
Joint relational triple extraction based on potential relation detection and conditional entity mapping
An enhanced self-adaptive differential evolution based on simulated annealing for rule extraction and its application in recognizing oil reservoir
An unsupervised software bug count prediction model based on selected software metrics
An analytical comparison of machine learning- based techniques for test case generation across diverse reaction wheel systems
SSDMM-VAE: variational multi-modal disentangled representation learning
Feature selection for intrusion detection using new multi-objective estimation of distribution algorithms
Principal component analysis based on block-norm minimization
An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques
The identity-level angular triplet loss for cross-age face recognition
Recommendation system for frequent item sets using multi-objective chaotic optimization with convolutional BiLSTM model
Improving multi-UAV cooperative path-finding through multiagent experience learning
Embedding semantics in human resources management automation via SQL
A cell phone app for facial acne severity assessment
Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking
A knowledge-driven monarch butterfly optimization algorithm with self-learning mechanism
Identification of the left ventricle endocardial border on two-dimensional ultrasound images using deep layer aggregation for residual dense networks
A fault diagnosis method for few-shot industrial processes based on semantic segmentation and hybrid domain transfer learning
Connecting latent relationships over heterogeneous attributed network for recommendation
Baseline-independent stress classification based on facial StO2
Network alignment and link prediction using event-based embedding in aligned heterogeneous dynamic social networks
CF-DAML: Distributed automated machine learning based on collaborative filtering
Balanced undersampling: a novel sentence-based undersampling method to improve recognition of named entities in chemical and biomedical text
DFAMNet: dual fusion attention multi-modal network for semantic segmentation on LiDAR point clouds
Consistent coding guided domain adaptation retrieval
Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems
Research on parameter selection method for support vector machines
Approaches for coarsest granularity based near-optimal reduct computation
A two-phase random forest with differential privacy
MBPI: Mixed behaviors and preference interaction for session-based recommendation
SL2E-AFRE : Personalized 3D face reconstruction using autoencoder with simultaneous subspace learning and landmark estimation
VAEneu: a new avenue for VAE application on probabilistic forecasting
"Solving discounted {0-1} knapsack problems by a discrete hybrid teaching-learning-based optimization algorithm"
Comparing Structures Using a Hopfield-Style Neural Network
Overview on evidential fusion approaches in the context of collaborative perception for occupancy modeling
EU-Net: a segmentation network based on semantic fusion and edge guidance for road crack images
Incremental Iterative Retrieval and Browsing for Efficient Conversational CBR Systems
Automated echocardiogram image quality assessment with YOLO and resnet in the left ventricular myocardium of A4C views
A review of the emotion recognition model of robots
A dual-branch model for diagnosis of Parkinson's disease based on the independent and joint features of the left and right gait
Adaptive robust control without initial stabilizing for constrained-states nonlinear multiplayer mixed zero-sum game systems with matched input disturbances
Special issue on the future and frontier of applied intelligence
A novel portfolio optimization model via combining multi-objective optimization and multi-attribute decision making
CIMMEP: constrained integrated method for CBR maintenance based on evidential policies
Knowledge discovery in corporate events by neural network rule extraction
Energy service selection method based on deep reinforcement learning and blockchain smart contract
Automatic prognosis of lung cancer using heterogeneous deep learning models for nodule detection and eliciting its morphological features
Fast 6D object pose refinement in depth images
Convolutional residual network to short-term load forecasting
High utility itemsets mining from transactional databases: a survey
LS-VisionDraughts: improving the performance of an agent for checkers by integrating computational intelligence, reinforcement learning and a powerful search method
Script-Based Inference and Memory Retrieval in Subsymbolic Story Processing
Interpretable prison term prediction with reinforce learning and attention
Combining rational and biological factors in virtual agent decision making
Monitoring social-distance in wide areas during pandemics: a density map and segmentation approach
Least squares twin parametric-margin support vector machine for classification
Semantic image segmentation via dynamic curriculum learning
A new multi-focus image fusion method based on multi-classification focus learning and multi-scale decomposition
Unsupervised outlier detection based on multi-granularity neighborhood information
Cybersecurity policy verification with declarative programming
Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process
An MIMLSVM algorithm based on ECC
Eigenvalues Driven Gaussian Selection in continuous speech recognition using HMMs with full covariance matrices
Context-dependent probabilistic linguistic multi-attribute decision-making methods
Improving rating predictions with time-varying attention and dual-optimizer
A general approach to rule aggregation in fuzzy logic control
Robust model estimation by using preference analysis and information theory principles
PatchBreaker: defending against adversarial attacks by cutting-inpainting patches and joint adversarial training
Adapting Self-Adaptive Parameters in Evolutionary Algorithms
TFP-mixer: A lightweight time and frequency combining model for multivariate long-term time series forecasting
A deep multivariate time series multistep forecasting network
Evolutionary dynamic grouping based cooperative co-evolution algorithm for large-scale optimization
Autonomous navigation of UAV in complex environment : a deep reinforcement learning method based on temporal attention
Fixing inconsistencies of fuzzy spatiotemporal XML data
A robust unsupervised anomaly detection framework
Generation and verification of learned stochastic automata using k-NN and statistical model checking
Supervised actor-critic reinforcement learning with action feedback for algorithmic trading
An Intelligent System Combining Different Resource-Bounded Reasoning Techniques
An unsupervised domain adaptation method for cross-domain deceptive reviews detection
Novel grey wolf optimization based on modified differential evolution for numerical function optimization
Similarity measure with indeterminate parameters regarding cubic hesitant neutrosophic numbers and its risk grade assessment approach for prostate cancer patients
Identifying algorithm in program code based on structural features using CNN classification model
Multidisciplinary approaches to artificial swarm intelligence for heterogeneous computing and cloud scheduling
On system executions and states
State Space Search with Prioritised Soft Constraints
Using binary particle swarm optimization to search for maximal successful coalition
Multi-label learning with missing labels using sparse global structure for label-specific features
Efficiently mining frequent itemsets with weight and recency constraints
A self-correction algorithm for transparent object shadow detection
Learning Generalized Policies from Planning Examples Using Concept Languages
Correction to: Dirichlet stochastic weights averaging for graph neural networks
TNSEIR: A SEIR pattern-based embedding approach for temporal network
Research on the prediction algorithm of aero engine lubricating oil consumption based on multi-feature information fusion
Enhanced interpretation of novel datasets by summarizing clustering results using deep-learning based linguistic models
Correction to: The impact of time windows constraints on metaheuristics implementation: a study for the Discrete and Dynamic Berth Allocation Problem
A semantic segmentation model for lumbar MRI images using divergence loss
Nonconvex low-rank tensor approximation with denoising model for multi-view subspace clustering
SIGA: social influence modeling integrating graph autoencoder for rating prediction
Dynamic optimal decision-making for scaling cleaning in the sodium aluminate solution evaporation process
FGO-Net: Feature and Gaussian Optimization Network for visual saliency prediction
Memory-based approaches for eliminating premature convergence in particle swarm optimization
Generalized score functions on interval-valued intuitionistic fuzzy sets with preference parameters for different types of decision makers and their application
Personalized emotion analysis based on fuzzy multi-modal transformer model
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
A survey of explainable knowledge tracing
Deep graph regularized nonnegative Tucker decomposition for image data analysis
Building Bayesian Network Models in Medicine: The MENTOR Experience
Unveiling the frontiers of deep learning: Innovations shaping diverse domains
Adaptive behaviors of reactive mobile robot with Bayesian inference in nonstationary environments
A novel softplus linear unit for deep convolutional neural networks
Multi-strategy continual learning for knowledge refinement and consolidation
ASBI: Leveraging informative real-world data for active black-box simulator tuning
Broad learning algorithm of cascaded enhancement nodes based on phase space reconstruction
Probabilistic linguistic hesitant fuzzy multi-attribute decision making for rural revitalization project selection of China
Deep graph clustering with enhanced feature representations for community detection
Video-based beat-by-beat blood pressure monitoring via transfer deep-learning
Emotion-cause pair extraction based on interactive attention
Erratum to: Improved initial vertex ordering for exact maximum clique search
Applying algorithm selection to abductive diagnostic reasoning
Bayesian forecaster using class-based optimization
IM-ELPR: Influence maximization in social networks using label propagation based community structure
Dynamic point-line SLAM based on lightweight object detection
Friction coefficient estimation in servo systems using neural dynamic programming inspired particle swarm search
Data-driven width spread prediction model improvement and parameters optimization in hot strip rolling process
A Fuzzy Perceptual Model for Ultrasound Sensors Applied to Intelligent Navigation of Mobile Robots
Deflation-based power iteration clustering
Deep learning based decomposition for visual navigation in industrial platforms
From gram to attention matrices: a monotonicity constrained method for eeg-based emotion classification
Optimizing shapelets quality measure for imbalanced time series classification
Learning nested attentional feature fusion network for high performance visual tracking
GILNet: Grouping interaction learning network for lightweight salient object detection
Aerial-view geo-localization based on multi-layer local pattern cross-attention network
Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study
Retraction Note: Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information
Arbitrary-shaped scene text detection by predicting distance map
Improving indoor visual navigation generalization with scene priors and Markov relational reasoning
A framework for solving bias in graph-based recommender systems with a causal perspective
Vehicle physical parameter identification based on an improved Harris hawks optimization and the transfer matrix method for multibody systems
Image classification based on self-distillation
UNSURE - A machine learning approach to cryptocurrency trading
On-device context-aware misuse detection framework for heterogeneous IoT edge
Bipartite graph regularized robust low-rank matrix factorization for fast semi-supervised image clustering
A new hybrid prediction model with entropy-like kernel function for dynamic multi-objective optimization
KnowDT: Empathetic dialogue generation with knowledge enhanced dependency tree
Boundary-connection deletion strategy based method for community detection in complex networks
Off-policy and on-policy reinforcement learning with the Tsetlin machine
Fast Top-K association rule mining using rule generation property pruning
Asymmetric information-regularized learning for skeleton-based action recognition
Class-rebalanced wasserstein distance for multi-source domain adaptation
A study on the role of flexible preferences in group recommendations
General Performance Score for classification problems
A tree-based algorithm for attribute selection
Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control
Frequency-enhanced and decomposed transformer for multivariate time series anomaly detection
A multi-agent reinforcement learning method with curriculum transfer for large-scale dynamic traffic signal control
Correction to: 3D solid model generation method based on a generative adversarial network
Representative-based classification through covering-based neighborhood rough sets
Semi-supervised text classification method based on three-way decision with evidence theory
Online supervised collective matrix factorization hashing for cross-modal retrieval
A real-time transportation prediction system
Novel dropout approach for mitigating over-smoothing in graph neural networks
Hybrid genetic algorithms for the determination of DNA motifs to satisfy postulate 2-Optimality
Multi-attribute group decision making under probabilistic hesitant fuzzy environment with application to evaluate the transformation efficiency
Parallel stacked autoencoder with particle swarm optimization for community detection in complex networks
Traffic signal control using a cooperative EWMA-based multi-agent reinforcement learning
Capped norm linear discriminant analysis and its applications
Bar transformer: a hierarchical model for learning long-term structure and generating impressive pop music
IAMTrack: interframe appearance and modality tokens propagation with temporal modeling for RGBT tracking
Deep traffic congestion prediction model based on road segment grouping
Image classification based on weighted nonconvex low-rank and discriminant least squares regression
Multi-objective approach for robot motion planning in search tasks
Improving the robustness of machine reading comprehension via contrastive learning
Dynamic noise self-recovery ECM clustering algorithm with adaptive spatial constraints for image segmentation
Iterated graph cut method for automatic and accurate segmentation of finger-vein images
Minimum volume simplex-based scene representation and attribute recognition with feature fusion
A mutual attention based multimodal fusion for fake news detection on social network
Multiview unsupervised domain adaptation through consensus augmented masking for subspace alignment
Complex mixer for MedMNIST classification decathlon
GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network
Natural language scripting within conversational agent design
An efficient annealing algorithm for global optimization in Boltzmann machines
A group consensus-based travel destination evaluation method with online reviews
3WC-D: A feature distribution-based adaptive three-way clustering method
A novel gene selection method using modified MRMR and hybrid bat-inspired algorithm with β-hill climbing
MeFD-Net: multi-expert fusion diagnostic network for generating radiology image reports
MFA-Net: Morphological Fusion Attention Network for Image Dehazing
Evolutionary Radial Basis Functions for Credit Assessment
The hierarchical SMAA-PROMETHEE method applied to assess the sustainability of European cities
Uncertain region mining semi-supervised object detection
RWGCN: Random walk graph convolutional network for group activity recognition
Enhanced feature pyramid for multi-view stereo with adaptive correlation cost volume
An improved multi-directional local search algorithm for vehicle routing problem with time windows and route balance
Detecting textual adversarial examples through text modification on text classification systems
HT-Net: hierarchical context-attention transformer network for medical ct image segmentation
TRBoost: a generic gradient boosting machine based on trust-region method
A novel semi-supervised fuzzy clustering method based on interactive fuzzy satisficing for dental x-ray image segmentation
Supervised data-dependent kernel sparsity preserving projection for image recognition
Automated debugging of recommender user interface descriptions
Design of test inputs and their sequences in multi-function system testing
A water cycle algorithm based on quadratic interpolation for high-dimensional global optimization problems
DSNMF: Deep symmetric non-negative matrix factorization representation algorithm for clustering
Attention ensemble mixture: a novel offline reinforcement learning algorithm for autonomous vehicles
Three-way conflict analysis based on multi-scale situation tables
A regularized approach for supervised multi-view multi-manifold learning from unlabeled data
Revisiting experience replayable conditions
Delving into monocular 3D vehicle tracking: a decoupled framework and a dedicated metric
GMMA: GPU-based multiobjective memetic algorithms for vehicle routing problem with route balancing
A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization
Improving Backpropagation Learning with Feature Selection
Generating high quality crowd density map based on perceptual loss
TopoRN: A topology-aware reconstruction network for infrared image super-resolution
Verifying concurrent probabilistic systems using probabilistic-epistemic logic specifications
SenAttack: adversarial attack method based on perturbation sensitivity and perceptual color distance
A lightweight digital twin of cold metal transfer welding based on twin data and improved C-DCGAN algorithm
IMSP: An information theoretic approach for multi-dimensional sequential pattern mining
Dynamic clustering using combinatorial particle swarm optimization