yusuke1997/dblp-id-title huggingface dataset:
Deep-insights guided evolutionary algorithm for optimization
SeGDroid: An Android malware detection method based on sensitive function call graph learning
Image copyright protection with forward error correction
An LSSVR-based algorithm for online system condition prognostics
A general methodology for n-dimensional trajectory clustering
Ontology-centered environmental information delivery for personalized decision support
Model-free adaptive control design using evolutionary-neural compensator
Hybrid functional networks for oil reservoir PVT characterisation
Sparse multi-stage regularized feature learning for robust face recognition
Semantic similarity information discrimination for video captioning
Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems
Deep Residual Twin directional neural network (DRTNN) based user intention Discovery and product recommendation in e-commerce website
CLN: A multi-task deep neural network for chest X-ray image localisation and classification
Finding out general tendencies in speckle noise reduction in ultrasound images
An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction
Multimodal end-to-end autonomous driving via bilateral modality interaction
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads
Constructing better prototype generators with 3D CNNs for few-shot text classification
Dual-population based coevolutionary algorithm for designing RBFNN with feature selection
Quadcopter neural controller for take-off and landing in windy environments
Detection to anomalous data using hypersphere method with mapping transformation
Diagnostic performance of artefact-reduced cone-beam CT images using a generative adversarial neural network
Hierarchical Siamese network for real-time visual tracking
Sequence-based clustering applied to long-term credit risk assessment
Estimating discretionary accruals using a grouping genetic algorithm
Extended Naive Bayes classifier for mixed data
The multiple interacting fuzzy linguistic set and its application in emergency decision making
Fine-tuned YOLOv5 for real-time vehicle detection in UAV imagery: Architectural improvements and performance boost
Data aggregation in constructing composite indicators: A perspective of information loss
Reinforcement Learning for FDA-MIMO Radar Power Allocation in Congested Spectral Environments
Comparison and application of four versions of particle swarm optimization algorithms in the sequence optimization
Maximizing sellers' welfare in online auction by simulating bidders' proxy bidding agents
Novel ensemble methods for regression via classification problems
Development, test and comparison of two Multiple Criteria Decision Analysis (MCDA) models: A case of healthcare infrastructure location
ANFIS and statistical based approach to prediction the peak pressure load of concrete pipes including glass fiber
A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem
Adaptive quantum differential evolution with experience-guided learning for integrated production and collaborative mobile robot scheduling
Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders
Boundary-aware sliding prescribed performance control for PMSMs under compound uncertainties
Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
What are the eigen visual features for penetration state recognition?
A solution approach to minimal average cost flow problem with lower and upper bounds on flows
Procedural generation of dungeons' maps and locked-door missions through an evolutionary algorithm validated with players
Causality-based function network for identifying technological analogy
An intelligent framework for simulating robot-assisted surgical operations
Navigating multi-source threats in low-altitude urban airspace: A physics-informed cyclotron meta-heuristic method
Combination of genetic network programming and knapsack problem to support record clustering on distributed databases
Using inductive learning to assess compound feed production in cooperative poultry farms
An effective hybrid quantum-inspired evolutionary algorithm for parameter estimation of chaotic systems
Fractional-order PID controller optimization via improved electromagnetism-like algorithm
A novel trend based SAX reduction technique for time series
A two-stage hybrid heuristic approach combining genetic algorithm and variable neighborhood descent for the clustered electric vehicle routing problem
Subsequence dynamic time warping for charting: Bullish and bearish class predictions for NYSE stocks
Local search based methods for scheduling in the unrelated parallel machines environment
DCMTL network: A double-contrast multi-task learning network for semi-supervised multi-source data classification
Semantic information integration and question answering based on pervasive agent ontology
Consumer credit risk: Individual probability estimates using machine learning
A semantic matching approach addressing multidimensional representations for web service discovery
Integrating RFID with quality assurance system - Framework and applications
iSurveillance: Intelligent framework for multiple events detection in surveillance videos
Distributed evidential clustering toward time series with big data issue
A computational evaluation of constructive and improvement heuristics for the blocking flow shop to minimise total flowtime
A cellular automata-based learning method for classification
MRA-based revised CBR model for cost prediction in the early stage of construction projects
A novel gait analysis system based on adaptive neuro-fuzzy inference system
Monitoring of wastewater treatment process based on multi-stage variational autoencoder
Dynamic hard-real-time scheduling using genetic algorithm for multiprocessor task with resource and timing constraints
Mixture-of-experts-based broad learning system and its applications
Automatic processing of audiometry sequences for objective screening of hearing loss
Multi-goal Q-learning of cooperative teams
Multi-criteria three-way decisions considering requirements and targets based on qualitative and quantitative information
Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems
Missing traffic data imputation with a conditional diffusion framework
Evaluation of sustainable energy systems in smart cities using a Multi-Expert Pythagorean fuzzy BWM & TOPSIS methodology
Ant colony optimization algorithm with mutation mechanism and its applications
Molecular subtypes classification of breast cancer in DCE-MRI using deep features
Discrete particle swarm optimization based on estimation of distribution for polygonal approximation problems
Pairwise dual-level alignment for cross-prompt automated essay scoring
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation
AI-driven risk identification model for infrastructure project: Utilising past project data
Edge-assisted U-shaped split federated learning with privacy-preserving for Internet of Things
Decision support model based on case-based reasoning approach for estimating the restoration budget of historical buildings
Cauchy mutation for decision-making variable of Gaussian particle swarm optimization applied to parameters selection of SVM
MOSOA: A new multi-objective seagull optimization algorithm
UbiPaPaGo: Context-aware path planning
Automatic and interactive e-Learning auxiliary material generation utilizing particle swarm optimization
Mining whole-sample mass spectrometry proteomics data for biomarkers - An overview
Which App? A recommender system of applications in markets: Implementation of the service for monitoring users' interaction
Design a breeze sensor system based on electric field via two-elemental direction
DESCINet: A hierarchical deep convolutional neural network with skip connection for long time series forecasting
Multilingual scene text recognition: A faster R-CNN approach for Bengali and English scripts
A generalized abstract argumentation framework for inconsistency-tolerant ontology reasoning
Modeling impact of Covid-19 pandemic on spatial temporal human mobility
Time series classification, augmentation and artificial-intelligence-enabled software for emergency response in freight transportation fires
An energy-aware scheduling method for parallel tasks based on an adaptive differential evolution algorithm in a multi-cloud environment
On the design of individual and group recommender systems for tourism
Computationally efficient behaviour based controller for real time car racing simulation
Automated synthesis of passive analog filters using graph representation
Transition-driven time prediction for business processes with cycles
An adaptive approach to mining frequent itemsets efficiently
A GWO-based multi-robot cooperation method for target searching in unknown environments
A recursive polynomial grey prediction model with adaptive structure and its application
MEDHEA: Multidimensional estimation of distribution based hyper-heuristic evolutionary algorithm for energy-efficient distributed assembly no-wait flow-shop scheduling problem
Transform domain representation-driven convolutional neural networks for skin lesion segmentation
OSEN-IoT: An optimized stack ensemble network with genetic algorithm for robust intrusion detection in heterogeneous IoT networks
Expert system for pests, diseases and weeds identification in olive crops
Integrating recurrent SOM with wavelet-based kernel partial least square regressions for financial forecasting
Epileptic EEG detection using the linear prediction error energy
Auto claim fraud detection using Bayesian learning neural networks
Impact of user engagement on virtual reality behavioral response from the human-computer interaction perspective toward a service context: A hybrid statistics and machine learning approach
Dynamic multi-graph neural network for traffic flow prediction incorporating traffic accidents
ELECTRE-III-H: An outranking-based decision aiding method for hierarchically structured criteria
An EM based multiple instance learning method for image classification
An integrated music video browsing system for personalized television
Detecting user attention to video segments using interval EEG features
Logistics tool selection with two-phase fuzzy multi criteria decision making: A case study for personal digital assistant selection
Now and future of artificial intelligence-based signet ring cell diagnosis: A survey
A normal-fault sample translator for fault diagnosis with insufficient fault samples
A stratified framework for handling conditional preferences: An extension of the analytic hierarchy process
An efficient CMAC neural network for stock index forecasting
Qibo: A Large Language Model for traditional Chinese medicine
Indoor localization in a hospital environment using Random Forest classifiers
Lightweight model for power grid cascading failures risk evaluation based on graph physics-informed attention network
A neural network approach to measure real activities manipulation
Unsupervised higher-order dual transform hashing for multimedia retrieval
Deep multi-intentional inverse reinforcement learning for cognitive multi-function radar inverse cognition
Genetic algorithms for coordinated scheduling of production and air transportation
Extracting the significant-rare keywords for patent analysis
A comprehensive ATM security framework for detecting abnormal human activity via granger causality-inspired graph neural network optimized with eagle-strategy supply-demand optimization
Automated defect discovery for dishwasher appliances from online consumer reviews
A HEVC video steganalysis algorithm for transform unit partition modes
Prediction of aeration efficiency on stepped cascades by using least square support vector machines
Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation
A TODIM-based cubic quasirung orthopair fuzzy MCGDM model for evaluating 5G network providers using Minkowski distance and entropy measures
A decision support system for detecting and handling biased decision-makers in multi criteria group decision-making problems
An application of deep reinforcement learning to algorithmic trading
From data mining to knowledge mining: Application to intelligent agents
A teaching-learning-based optimization with feedback for L-R fuzzy flexible assembly job shop scheduling problem with batch splitting
Coordinating double-level sustainability effort in a sustainable supply chain under cap-and-trade regulation
Cross-organizational knowledge acquisition through flexible hiring and joint R&D: Insights from a survey in China
Identifying, Analyzing, and forecasting commuting patterns in urban public Transportation: A review
Assessing the performance of fully supervised and weakly supervised learning in breast cancer histopathology
Progressive deep snake for instance boundary extraction in medical images
Task-driven common subspace learning based semantic feature extraction for acoustic event recognition
Conceptual data modeling for realizing context-aware services
A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem
Applying the IPA and DEMATEL models to improve the order-winner criteria: A case study of Taiwan's network communication equipment manufacturing industry
Thresholding-accelerated convolutional neural network for aeroengine turbine blade segmentation
Enhancing road surface recognition via optimal transport and metric learning in task-agnostic intelligent driving environments
Compatibility between the local and social performances of multi-agent societies
Spatially adaptive representation of facial meshes for face video super-resolution
Assessing the ripple effects of online opinion leaders with trust and distrust metrics
Multi-scale GAN with transformer for surface defect inspection of IC metal packages
A hybrid approach of DEA, rough set and support vector machines for business failure prediction
Automatic speech recognition of Portuguese phonemes using neural networks ensemble
Supervised learning for automatic emotion recognition in Parkinson's disease through smartwatch signals
Entity disambiguation with context awareness in user-generated short texts
KBS LUA : A knowledge-based system applied in river land use assessment
An adaptive work distribution mechanism based on reinforcement learning
Fine-Grained Graph Domain Adaptation via Instance Contrastive Learning
Attention-enhanced dynamic graph neural networks for efficient video summarization
A hybrid stock market prediction model based on GNG and reinforcement learning
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0
CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks
A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification
AutomaticAI - A hybrid approach for automatic artificial intelligence algorithm selection and hyperparameter tuning
A model and cooperative co-evolution algorithm for identifying driver pathways based on the integrated data and PPI network
An architectural design for effective information retrieval in semantic web
Segmenting customers by transaction data with concept hierarchy
A network surveillance approach using machine learning based control charts
An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers
Design of a PCB plant with expert system and simulation approach
Post-clustering merging with novel metrics for multi-label image collections
Unsupervised collective-based framework for dynamic retraining of supervised real-time spam tweets detection model
Joint deployment of exclusive bus lanes and limited access bus lanes in a transportation network
A hybrid optimized deep learning model via the Golden Jackal Optimizer for accurate stock price forecasting
Dynamic learning of sample ambiguity-driven sample weighting for medical image classification
Automatic detection of electroencephalographic changes using adaptive neuro-fuzzy inference system employing Lyapunov exponents
A new Histogram Oriented Moments descriptor for multi-oriented moving text detection in video
Multilevel minimum cross entropy threshold selection based on the firefly algorithm
Migrant knowledge workers: An empirical study of global Sydney as a knowledge city
Implementing wavelet/probabilistic neural networks for Doppler ultrasound blood flow signals
Machine learning methods to forecast temperature in buildings
Design and application of Nagar-Bardini structure-based interval type-2 fuzzy logic systems optimized with the combination of backpropagation algorithms and recursive least square algorithms
A mixed integer linear programming model and a basic variable neighbourhood search algorithm for the repatriation scheduling problem
Cross-domain multimodal feature enhancement hypergraph neural network for few-shot hyperspectral images classification
Material recognition using tactile sensing
EDUCA: A web 2.0 authoring tool for developing adaptive and intelligent tutoring systems using a Kohonen network
Mitigating long tail effect in recommendations using few shot learning technique
Outsmarting algorithms: A comparative battle between Reinforcement Learning and heuristics in Atari Tetris
MCRformer: Morphological constraint reticular transformer for 3D medical image segmentation
Optimizing traceability scheme in a fresh product supply chain considering product competition in blockchain era
Iterative randomized irregular circular algorithm for proliferation rate estimation in brain tumor Ki-67 histology images
Component retrieval based on a database of graphs for Hand-Written Electronic-Scheme Digitalisation
Prediction of shear strength of FRP reinforced concrete beams using fuzzy inference system
Mobile network deployment under electromagnetic pollution control criterion: An evolutionary algorithm approach
Bagging ensemble-based novel data generation method for univariate time series forecasting
Multi-objective human-robot collaborative task planning for assembly lines balancing based on cooperative optimization
Physical query interface for tangible augmented tagging and interaction
Modality adaptation in multimodal data
Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles
Elucidating the conceptual structure of a business domain via exploratory network analysis of business survey data
Knowledge discovery using genetic algorithm for maritime situational awareness
Nonnegative matrix factorization with combined kernels for small data representation
Comprehensive analysis of Transformer networks in identifying informative sentences containing customer needs
Visual decision support for business ecosystem analysis
Fuzzy inference systems: An integrated modeling environment for collaboration between expert knowledge and data using FisPro
Neural network modeling for a two-stage production process with versatile variables: Predictive analysis for above-average performance
An agent specific planning algorithm
A collaborative resequencing approach enabled by multi-core PREA for a multi-stage automotive flow shop
A cloud-edge collaboration based quality-related hierarchical fault detection framework for large-scale manufacturing processes
UF-Net: A unified network for panoptic driving perception with two-stage feature refinement
Supplier selection based on hierarchical potential support vector machine
Exponentially weighted moving average-based procedure with adaptive thresholding for monitoring nonlinear profiles: Monitoring of plasma etch process in semiconductor manufacturing
STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
A fuzzy multicriteria methodology for selection among energy alternatives
Detection of cardiac arrhythmia in electrocardiograms using adaptive feature extraction and modified support vector machines
MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue
Research on knowledge distillation algorithm based on Yolov5 attention mechanism
Efficient cellular automaton segmentation supervised by pyramid on medical volumetric data and real time implementation with graphics processing unit
A reviewer-reputation ranking algorithm to identify high-quality papers during the review process
Multi-feature representation-based graph attention networks for predicting potential supply relationships in a large-scale supply chain network
Unified embedding and clustering
An intelligent instantaneous selective method, through compacted ZnO nanoparticle pellets, based on the concept of a virtual electronic nose, for different volatile organic compounds
Adaptive neuro-fuzzy inference system employing wavelet coefficients for detection of ophthalmic arterial disorders
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain
A framework for rule-base evidential reasoning in the interval setting applied to diagnosing type 2 diabetes
Artificial intelligence diagnosis algorithm for expanding a precision expert forecasting system
A physics-informed neural network surrogate model and many-objective optimization algorithm for coupled multi-energy systems in smart grids
Bank as a liquidity provider and interest rate discovery: An option-based optimization
Fuzzy system design for automatic irrigation of agricultural fields
Exploring multi-scale and cross-type features in 3D point cloud learning with CCMNET
Discovering during-temporal patterns (DTPs) in large temporal databases
Powered stochastic optimization with hypergradient descent for large-scale learning systems
Development of a patent document classification and search platform using a back-propagation network
NNMA: An effective memetic algorithm for solving multiobjective permutation flow shop scheduling problems
PGCL: Prompt guidance and self-supervised contrastive learning-based method for Visual Question Answering
Structural representation learning for network alignment with self-supervised anchor links
Real-time Multi-platform Route Planning in ridesharing
Credit risk evaluation using clustering based fuzzy classification method
Genetic wavelet packets for speech recognition
Multi-sense embeddings through a word sense disambiguation process
Surrogate-assisted evolutionary optimization for perishable inventory management in multi-echelon distribution systems
Fractal analysis features for weak and single-channel upper-limb EMG signals
Ego-similarity measurement for relevance feedback
Digitizing traffic rules to guide automated vehicle trajectory planning
Combining CNN and Grad-CAM for profitability and explainability of investment strategy: Application to the KOSPI 200 futures
Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting
Heuristics for the Bi-Objective Diversity Problem
Time series clustering based on relationship network and community detection
A bi-population Genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints in mobile wireless sensor networks
Predicting clinical scores for Alzheimer's disease based on joint and deep learning
A long-term dissolved oxygen prediction model in aquaculture using transformer with a dynamic adaptive mechanism
An intelligent decision-support model using FSOM and rule extraction for crime prevention
A new adaptive Kriging-based optimization (AKBO) framework for constrained optimization problems: A case study on shared autonomous electric vehicle system design
Inference in hybrid Bayesian networks with large discrete and continuous domains
Comparing machine learning classifiers in potential distribution modelling