yusuke1997/dblp-id-title huggingface dataset:
AWMT: Automatic jailbreaking attack framework utilizing working-memory trees
Partial fingerprint matching using minutiae and ridge shape features for small fingerprint scanners
Criticality and threat analysis on utility tunnels for planning security policies of utilities in urban underground space
"Seismic-mass" density-based algorithm for spatio-temporal clustering
A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval
LST-rPPG: A long-range spatio-temporal model for high-accuracy heart rate variability measurement
Coupling of a lightweight model of reduced convolutional autoencoder with linear SVM classifier to detect brain tumours on FPGA
Combining local, regional and global matchers for a template protected on-line signature verification system
The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods
A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines
A dynamic routing algorithm of CapsNet for drift prognosis
Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder
Intelligent ICA-SVM fault detector for non-Gaussian multivariate process monitoring
Classification for predicting offender affiliation with murder victims
Double handed dynamic Turkish Sign Language recognition using Leap Motion with meta learning approach
Modelling auto insurance Size-of-Loss distributions using Exponentiated Weibull distribution and de-grouping methods
Multimodal large models for smart agriculture: Frameworks and applications
Weakly supervised power line detection algorithm using a recursive noisy label update with refined broken line segments
CLIP-based partial-wise prompt learning for unsupervised vehicle re-identification
Soft integrity authentication for neural network models
An algorithmic approach to group decision making problems under fuzzy and dynamic environment
A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization
Leveraging the supply chain flexibility of third party logistics - Hybrid knowledge-based system approach
Revolutionising industrial operations: The synergy of multiagent robotic systems and blockchain technology in operations planning and control
Android malware detection based on multi-head squeeze-and-excitation residual network
Game-theoretic distributed approach for heterogeneous-cost task allocation with budget constraints
A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation
Association rules applied to credit card fraud detection
CourtNet: Dynamically balance the precision and recall rates in infrared small target detection
Collaborative scheduling for heterogeneous robots with simultaneous pickup and delivery tasks in order-picking systems
Design and research of hybrid forecasting system for wind speed point forecasting and fuzzy interval forecasting
Metaheuristic algorithms for a special cutting stock problem with multiple stocks in the transformer manufacturing industry
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems
A Metaheuristic Algorithm for Vertex Cover based Link Monitoring and Backbone Formation in Wireless Ad hoc Networks
Neural networks analysis in business failure prediction of Chinese importers: A between-countries approach
Hierarchical candidate recursive network for highlight restoration in endoscopic videos
HDWT-based grayscale watermark for copyright protection
ISO: An improved snake optimizer with multi-strategy enhancement for engineering optimization
A novel autonomous staircase cleaning system with robust 3D-Deep Learning-based perception technique for Area-Coverage
Graph structure enhancement with local cluster guidance for discrete spectral clustering
Detection of potential gas accumulations in 2D seismic images using spatio-temporal, PSO, and convolutional LSTM approaches
A novel method for multispectral image pansharpening based on high dimensional model representation
HHSKT: A learner-question interactions based heterogeneous graph neural network model for knowledge tracing
Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey
Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007-2011)
UAV remote sensing image stitching via improved VGG16 Siamese feature extraction network
Risk identification and management through knowledge Association: A financial event evolution knowledge graph approach
MSTAgent-VAD: Multi-scale video anomaly detection using time agent mechanism for segments' temporal context mining
High-dimensional lag structure optimization of fuzzy time series
Integration of unsupervised and supervised machine learning algorithms for credit risk assessment
Accurate detection of autism spectrum disorder from structural MRI using extended metacognitive radial basis function network
A Monte Carlo simulation based chaotic differential evolution algorithm for scheduling a stochastic parallel processor system
Scheduling autonomous robots for an intralogistic application: A comparison of lookahead-based ADP strategies
Analysing network uncertainty for industrial product-service delivery: A hybrid fuzzy approach
An improved lightweight residual network model deployed on the edge device for the unsupervised cross-domain fault diagnosis
A novel evolutionary algorithm based on even difference grey model
Relation guided and attention enhanced multi-head selection for relational facts extraction
Hybrid sooty tern naked mole-rat algorithm and Fuzzy Type-2 logic-based trust and energy-aware stable clustering protocol
Posterior relation augmentation for multi-view and gradual network alignment
An intelligent energy efficient handover mechanism with adaptive discontinuous reception in next generation telecommunication networks
Feature selection based on FDA and F-score for multi-class classification
Prediction of B2C e-commerce order arrival using hybrid autoregressive-adaptive neuro-fuzzy inference system (AR-ANFIS) for managing fluctuation of throughput in e-fulfilment centres
Selective spatiotemporal features learning for dynamic gesture recognition
An effective approach for early liver disease prediction using deep learning method with immunity-based Boosted Ebola optimization search algorithm
A macro-economic model to forecast remittances based on Monte-Carlo simulation and artificial intelligence
How much do the central bank announcements matter on financial market? Application of the rule-based trading system approach
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems
Timed net with choice probability and its minimum cycle time - The case of location-based service
Detecting attack signatures in the real network traffic with ANNIDA
Selective clustered tourist trip design problem with time windows under intuitionistic fuzzy score and exponential travel times
A GAs based approach for mining breast cancer pattern
Secure multi-channel information encryption based on integrated optical device
FAHP model used for assessment of highway RC bridge structural and technological arrangements
Supervised learning in automatic channel selection for epileptic seizure detection
Relationship between MOLP and DEA based on output-orientated CCR dual model
A multi-objective approach for the integrated planning of drone and robot assisted truck operations in last-mile delivery
Neural architecture search with integrated template-modules for efficient defect detection
CrowdStart: Warming up cold-start items using crowdsourcing
Multi-level hybrid support vector machine and extreme learning machine based on modified K-means for intrusion detection system
Attention-based Local Mean K-Nearest Centroid Neighbor Classifier
A sparse Gaussian process regression model for tourism demand forecasting in Hong Kong
Compression effects and scene details on the source camera identification of digital videos
Robust scheduling based on extreme learning machine for bi-objective flexible job-shop problems with machine breakdowns
IMDet: Injecting more supervision to CenterNet-like object detection
Fault diagnosis of RV reducer based on denoising time-frequency attention neural network
Using BPNN and DEMATEL to modify importance-performance analysis model - A study of the computer industry
Using the DEA-R model in the hospital industry to study the pseudo-inefficiency problem
Adaptive deep learning for entity disambiguation via knowledge-based risk analysis
Multi-attribute decision making methods based on reference ideal theory with probabilistic hesitant information
Approximate mining of maximal frequent itemsets in data streams with different window models
Uncensoring censored data for machine learning: A likelihood-based approach
Corrigendum to "A novel customer scoring model to encourage the use of mobile value added services" [Expert Systems with Applications 38 (2011) 11693-11700]
Deep convolution neural network based semantic segmentation for ocean eddy detection
Multiplex community detection in complex networks using an evolutionary approach
A constrained multi-objective evolutionary algorithm with Pareto estimation via neural network
Learning precise feature via self-attention and self-cooperation YOLOX for smoke detection
An Intelligent system for optimal configuration of collaborative diagnosis
Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
Hybrid segmentation, characterization and classification of basal cell nuclei from histopathological images of normal oral mucosa and oral submucous fibrosis
Design and implementation of a case-based reasoning system for marketing plans
Quantum circuit representation of Bayesian networks
A novel prediction model construction and result interpretation method for slope deformation of deep excavated expansive soil canals
ASCL: Adaptive self-supervised counterfactual learning for robust visual question answering
Enhancing memory-based collaborative filtering for group recommender systems
Identification of rice disease under complex background based on PSOC-DRCNet
Multi-channel advertising budget allocation: A novel method using Q-learning and mutual learning-based artificial bee colony
Risk mitigation through noise reduction in hierarchical portfolio selection
A novel group search optimizer for multi-objective optimization
Auxiliary task enhanced multi-concept fusion attentive knowledge tracking
Optimal decisions in a dual-channel competitive green supply chain management under promotional effort
A dynamic provenance graph-based detector for advanced persistent threats
Vander Lugt Correlator based active contours for iris segmentation and tracking
Data-driven robust operating optimization of energy-material coupled system in refineries under uncertainty
Hitting stride by degrees: Fine grained molecular generation via diffusion model
Condition-based process patterns for modeling of human processes in Knowledge-intensive Business Services
FDTR: Weakening feature disparity transformer for accurate multicategory computed tomography image segmentation
NEAT F-PROMETHEE - A new fuzzy multiple criteria decision making method based on the adjustment of mapping trapezoidal fuzzy numbers
A two-layer feature selection method using Genetic Algorithm and Elastic Net
Deriving decision maker's weights based on distance measure for interval-valued intuitionistic fuzzy group decision making
Invariant 2D object recognition using eigenvalues of covariance matrices, re-sampling and autocorrelation
Ontological functional modeling of technology for reusability
Transformer-based local-global guidance for image captioning
Advanced multi-phase trust evaluation model for collaboration between coworkers in dynamic virtual project teams
Fix-and-Relax based heuristic approach for robust two-echelon vehicle routing problem for milk collection: A case study
Application of evolutionary computation techniques for the identification of innovators in open innovation communities
Intelligent discharge state detection in micro-EDM process with cost-effective radio frequency (RF) radiation: Integrating machine learning and interpretable AI
Deep hashing with mutual information: A comprehensive strategy for image retrieval
Evaluating the environmental protection strategy of a printed circuit board manufacturer using a T w fuzzy importance performance analysis with Google Trends
OPENET: Ontology-based engine for high-level Petri nets
Dynamic multiscale region search algorithm using vitality selection for traveling salesman problem
Image mining by content
Texture characterization based on the Kolmogorov-Smirnov distance
Hybrid machine condition monitoring based on interpretable dual tree methods using Wasserstein metrics
Multi-objective imprecise programming for financial portfolio selection with fuzzy returns
Tumor detection by using Zernike moments on segmented magnetic resonance brain images
An EEG-based dual-stream spatial-spectral-temporal large model for self-limited epilepsy with centrotemporal spikes
A hybridized approach to data clustering
An efficient Discrete Artificial Bee Colony algorithm for the blocking flow shop problem with total flowtime minimization
Transformer fault diagnosis technology based on AdaBoost enhanced transferred convolutional neural network
Optimized reconfiguration scheme for a photovoltaic system to boost global peak power under realistic shading conditions: Experimental validation
A novel knowledge graph-based identification method for key quality characteristics of complex products
A spatiotemporal separable graph convolutional network for oddball paradigm classification under different cognitive-load scenarios
Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs
A new dot plot-based algorithm for genomes sequences comparison: A preliminary study
On the relevance of the metadata used in the semantic segmentation of indoor image spaces
The forecasting model based on fuzzy novel ν-support vector machine
Digital rights management for multimedia content over 3G mobile networks
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis
The multimodal trip planning system of intercity transportation in Taiwan
Combining techniques for software quality classification: An integrated decision network approach
Microarray gene expression classification with few genes: Criteria to combine attribute selection and classification methods
ARO: A new model free optimization algorithm for real time applications inspired by the asexual reproduction
A fast layer-based heuristic for non-guillotine strip packing
Model checking of timed compatibility for mediation-aided web service composition: A three stage approach
Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions
A novel UAV path planning approach: Heuristic crossing search and rescue optimization algorithm
Identification of endometrial tuberculosis in infertility using Non-Subsampled Contourlet based convolution neural network
Modelling and forecasting interest rates during stages of the economic cycle: A knowledge-discovery approach
Focusing on differences! Sample framework enhances semantic textual similarity with external knowledge
Models of computation for reactive control of autonomous mobile robots
A zero-watermarking scheme based on spatial topological relations for vector dataset
Determining and characterizing the reused text for plagiarism detection
Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming
A hybrid approach for MRI brain image segmentation using KIFECM-IPSO algorithm
Competence assessment as an expert system for human resource management: A mathematical approach
Using a manifold-based approach to extract clinical codes associated with winter respiratory viruses at an emergency department
A novel mobile recommender system for indoor shopping
A note on some alternative DEA models for two-stage process
Process parameter optimization for MIMO plastic injection molding via soft computing
Exploring the relative impact of R&D and operational efficiency on performance: A sequential regression-neural network approach
Computing shadow prices/costs of degenerate LP problems with reduced simplex tables
A novel traffic flow prediction model: Variable order fractional grey model based on an improved grey evolution algorithm
An approximate dynamic programming approach for solving an air combat maneuvering problem
An emotionally biased ant colony algorithm for pathfinding in games
A new linguistic MCDM method based on multiple-criterion data fusion
A novel approach for discovering retail knowledge with price information from transaction databases
An end stage kidney disease predictor based on an artificial neural networks ensemble
PSAN: Prompt Semantic Augmented Network for aspect-based sentiment analysis
Forecasting box office revenue of movies with BP neural network
Hybrid of simulated annealing and SVM for hydraulic valve characteristics prediction
A multi-parametric evolution strategies algorithm for vehicle routing problems
Color local complexity estimation based steganographic (CLCES) method
Integration of process planning and scheduling using chaotic particle swarm optimization algorithm
W2VLDA: Almost unsupervised system for Aspect Based Sentiment Analysis
Security energy management of microgrids including PHEV subject to high penetration of renewable energy sources
A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization
The performance evaluation of a spectrum sensing implementation using an automatic modulation classification detection method with a Universal Software Radio Peripheral
The mechanical assembly dimensional measurements with the automated visual inspection system
A type-2 fuzzy rule-based expert system model for stock price analysis
Comparisons of some improving strategies on MOPSO for multi-objective (r, Q) inventory system
Deep reinforcement learning for financial trading using multi-modal features
Hybrid-driven BRBCS-BOM with expert intervention and its application for abnormity recognition in electrolytic cell
Modeling 3E-S sustainable development problem by an ambiguous chance constrained optimization method
Marine predator inspired naked mole-rat algorithm for global optimization
An evolutionary approach for multi-objective optimization of the integrated location-inventory distribution network problem in vendor-managed inventory
Graph-based collaborative ranking
A weighted aggregation operators multi-attribute group decision-making method based on interval-valued trapezoidal fuzzy numbers
Multi-source temporal attention fusion network (MTAFN) for driving risk assessment based on naturalistic driving data
An automatic fine-grained violence detection system for animation based on modified faster R-CNN
Improving performances of Top- N recommendations with co-clustering method
MDMN: Multi-task and Domain Adaptation based Multi-modal Network for early rumor detection
Layered feature optimization framework based on Filtering, Embedding and data Balancing (L-FEB) for efficient DDoS attack detection
A novel fault diagnosis system using pattern classification on kernel FDA subspace
A league-winner algorithm for defect classification in an industrial web inspection system
Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images
A k -means based co-clustering ( k CC) algorithm for sparse, high dimensional data
Maintenance of sanitizing informative association rules
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms
A fast exact algorithm for the allocation of seats for the EU Parliament
A new FCM-XGBoost system for predicting Pavement Condition Index
S3LR: Novel feature selection approach for Microarray-Based breast cancer recurrence prediction
Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization
Revisiting class-incremental object detection: An efficient approach via intrinsic characteristics alignment and task decoupling
ZBWM: The Z-number extension of Best Worst Method and its application for supplier development
The value of modeling with reference effects in stochastic inventory and pricing problems
A new piecewise fuzzy exponential smoothing model based on some change-points
Empirical studies of Gaussian process based Bayesian optimization using evolutionary computation for materials informatics
A data fusion framework based on heterogeneous information network embedding for trigger-action programming in IoT
An optimal Bi-gated recurrent unit and ResNET using IoT for healthcare monitoring
Extensions to traffic control modeling store-and-forward
A human-machine shared dual fuzzy authority allocation control strategy for automatic driving vehicle considering driver intention judgement
StrCCL: Structure-aware Contrastive Consistency Loss for Artistic Style Transfer
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
Bayesian-optimized deep learning model for real-time spatial distribution identification of vehicle axle load
Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks
Repair equipment allocation problem for a support-and-repair ship on a deep sea: A hybrid multi-criteria decision making and optimization approach
Evaluating and benchmarking productive performances of six industries in Taiwan Hsin Chu Industrial Science Park
Automated anthropometric data collection using 3D whole body scanners
sEMG time-frequency features for hand movements classification
Strategic servitization design method for Industry 4.0-based smart intralogistics and production
Twin proximal support vector regression with heteroscedastic Gaussian noise
A dual dynamic constraint boundary based constrained multi-objective evolutionary algorithm for small feasible regions
A new nonlinear stochastic volatility model with regime switching stochastic mean reversion and its applications to option pricing
4C-FinNet: A multi-channel feature map and spatio-temporal feature fusion method for financial risk prediction
Neutrosophic multiplicative preference relations based on consensus analysis and additive consistency in group decision making: A goal programming approach
Conceptual modeling for the design of intelligent and emergent information systems
Ensemble-based regression analysis of multimodal medical data for osteopenia diagnosis
Automatically generating effective search queries directly from community question-answering questions for finding related questions
DeepSeeded: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications
A hybrid literature review on handling imbalanced medical data: AI models and open issues
RQFormer: Rotated Query Transformer for end-to-end oriented object detection
HYDES: A Web-based hydro turbine fault diagnosis system
A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation
Fused framework for glaucoma diagnosis using Optical Coherence Tomography (OCT) images
Integrating textual reviews into neighbor-based recommender systems
Chaos theory meets deep learning: A new approach to time series forecasting
Building instance graphs for highly variable processes
Deep cepstrum-wavelet autoencoder: A novel intelligent sonar classifier
iPMRSS: An Improved privacy-preserving medical record searching scheme for intelligent diagnosis in IoMT