yusuke1997/dblp-id-title huggingface dataset:
An improved shuffled complex evolution algorithm with sequence mapping mechanism for job shop scheduling problems
Ensemble one-class support vector machines for content-based image retrieval
MRED-Net: A pure tokens-to-token visual mamba-based residual encoder-decoder network for low-dose CT denoising
Hub-and-spoke network design for container shipping in inland waterways
Detecting clickbaits using two-phase hybrid CNN-LSTM biterm model
Hierarchical classifier with overlapping class groups
An intelligent supplier management tool for benchmarking suppliers in outsource manufacturing
An ontology-based system to avoid UAS flight conflicts and collisions in dense traffic scenarios
Multi-attribute decision making applied to financial portfolio optimization problem
LACTA: A lightweight and accurate algorithm for cherry tomato detection in unstructured environments
A multi-document summarization system based on statistics and linguistic treatment
Knowledge-based platform for eGovernment agents: A Web-based solution using semantic technologies
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection
A knowledge-based system for improving the consistency between object models and use case narratives
A novel believable rough set approach for supplier selection
TransGTE: a transformer-based model with geographical trajectory embedding for the individual trip destination prediction
GAN-based self-supervised message passing graph representation learning
Speaker voice normalization for end-to-end speech translation
Prediction of stock market index based on ISSA-BP neural network
An associative classification-based recommendation system for personalization in B2C e-commerce applications
Photovoltaic cluster power ultra-short-term cross-seasonal prediction integrating multi-channel information probabilistic diffusion generation and improved offset loss strategy
Cyclic scheduling of multi-type wafers concurrent processing in single-arm cluster tools with residency time constraints
Automatic segmentation of parallel drainage patterns supported by a graph convolution neural network
Toxicity in online platforms and AI systems: A survey of needs, challenges, mitigations, and future directions
Multi-objective optimization approach for permanent magnet machine via improved soft actor-critic based on deep reinforcement learning
Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods
Dynamic maintenance scheduling approach under uncertainty: Comparison between reinforcement learning, genetic algorithm simheuristic, dispatching rules
A late fusion deep neural network for robust speaker identification using raw waveforms and gammatone cepstral coefficients
Broadcast scheduling in packet radio networks using Harmony Search algorithm
A cross-lingual transfer learning method for online COVID-19-related hate speech detection
Impact of cognitive dissonance on social hysteresis: Insights from the expressed and private opinions model
Dual optimal multiband features for face recognition
Clean-label backdoor attack based on robust feature attenuation for speech recognition
Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography
Developing a smart stock trading system equipped with a novel risk control mechanism for investors with different risk appetites
USPDB: A novel U-shaped equivariant graph neural network with subgraph sampling for protein-DNA binding site prediction
Novel online portfolio selection algorithm using deep sequence features and reversal information
DBVSB-P-RRT*: A path planning algorithm for mobile robot with high environmental adaptability and ultra-high speed planning
Safety evaluation for mixed traffic flow of CAVs with different automation and connection levels
Vehicle operating state anomaly detection and results virtual reality interpretation
Optimised conjugate prior for model structure estimation in the exponential family
An efficient weapon detection system using NSGCU-DCNN classifier in surveillance
Augmenting learning function to Bayesian network inferences with maximum likelihood parameters
Distracting users as per their knowledge: Combining linked open data and word embeddings to enhance history learning
MaP-SGAN: Multi-anchor point siamese GAN for Wi-Fi CSI-based cross-domain gait recognition
A fast incremental algorithm for constructing concept lattices
Fuzzy risk analysis based on fuzzy numbers with different shapes and different deviations
UniRQR: A Unified Model for Retrieval Decision, Query, and Response Generation in internet-based knowledge dialogue systems
Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on interval type-2 fuzzy sets
Applications of artificial intelligence in bioinformatics: A review
New perspectives on multivariate time series forecasting: Lightweight networks combined with multi-scale hybrid state space models
A distributed model for sampling large scale social networks
Multi-objective optimisation of machine tool error mapping using automated planning
FDBPL: Faster distillation-based prompt learning for region-aware vision-language models adaptation
k-outlier removal based on contextual label information and cluster purity for continuous data classification
A framework for developing optimization-based decision support systems
Deep-learning based big data analysis for developing a smart supply chain for increased efficiency
Deep learning-based position detection for hydraulic cylinders using scattering parameters
Deep global semantic structure-preserving hashing via corrective triplet loss for remote sensing image retrieval
Review on deep learning quantitative precipitation nowcasting: Advances and challenges
KRC-APM: Key region cutting and artificial prior model for breast cancer recognition in ultrasound images
Automated method for selecting optimal digital pump operating strategy
Supervised discriminant Isomap with maximum margin graph regularization for dimensionality reduction
Fully automatic face normalization and single sample face recognition in unconstrained environments
A group decision making model with non-reciprocal fuzzy preference relations based on Pearson correlation coefficient
A language-independent authorship attribution approach for author identification of text documents
SAR-to-optical image translation using multi-stream deep ResCNN of information reconstruction
Rough fuzzy joint probabilistic association for tracking multiple targets in the presence of ECM
Identifying the source of variance shifts in the multivariate process using neural networks and support vector machines
Modeling semiconductor testing job scheduling and dynamic testing machine configuration
Tabu-based GIS for solving the vehicle routing problem
HybEdge: Explicit hybrid architecture for edge discontinuity detection
Enhancing accuracy of diabetes diagnosis system using instance-wise feature importance aware imputer and tabnet deep neural classifier
Content Tree Word Embedding for document representation
Credit scoring and rejected instances reassigning through evolutionary computation techniques
An agent-based cognitive mapping system for sales opportunity analysis
Intelligent backstepping control for wheeled inverted pendulum
Crowdsourcing integration on the last mile delivery platform considering floating population data
IoT service placement using improved ANFIS classifier and improved dung beetle optimization algorithm in Fog-Cloud computing
Efficiency and Effectiveness Clustering with Adaptive Neighbors for Large-scale Data
Applying data mining to telecom churn management
A discrete bat algorithm based on Lévy flights for Euclidean traveling salesman problem
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams
MTMP: Multimodal targeted molecule generation model with protein features
initKmix -A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering
Domain adaptation and knowledge distillation for lightweight pavement crack detection
Rule-based continuous line classification using shape and positional relationships between objects in piping and instrumentation diagram
Entropy based evaluation of net structures - deployed in Social Network Analysis
Artificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification system for classification of EEG signals
A perceptual hash based blind-watermarking scheme for image authentication
Are heterogeinity and conflicting preferences no longer a problem? Personality-based dynamic clustering for group recommender systems
A learning-based crack defect detection and 3D localization framework for automated fluorescent magnetic particle inspection
A unified framework for effective team formation in social networks
A strategy based on statistical modelling and multi-objective optimization to design a dishwasher cleaning cycle
A rotationally invariant stochastic opposition-based learning using a beta distribution in differential evolution
A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas
Joint optimization of electric bus infrastructure planning, fleet composition, and charging schedule with multiple charging modes
An expert system for perfume selection using artificial neural network
Fuzzy performance measurement of a supply chain in manufacturing companies
Pythagorean fuzzy information processing based on centroid distance measure and its applications
Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition
TAIFEX and KOSPI 200 forecasting based on two-factors high-order fuzzy time series and particle swarm optimization
Robust bag classification approach for multi-instance learning via subspace fuzzy clustering
Cyclostationary harmonic product spectrum with its application for rolling bearing fault resonance frequency band adaptive location
A recommendation system for effective learning strategies: An integrated approach using context-dependent DEA
Multi-layer adaptive spatial-temporal feature fusion network for efficient food image recognition
System reliability prediction model based on evidential reasoning algorithm with nonlinear optimization
A novel intrusion detection system based on feature generation with visualization strategy
Development of a decision support system based on neural networks and a genetic algorithm
Effects of uncertainty on a tire closed-loop supply chain network
An enhanced noise resilient K-associated graph classifier
A robust optimization model for location-transportation problem of disaster casualties with triage and uncertainty
A neural network-based estimation of electric fields along high voltage insulators
Performance and sustainability of BERT derivatives in dyadic data
Multi-axis fusion with optimal transport learning for multimodal aspect-based sentiment analysis
Extracting rules for classification problems: AIS based approach
Evaluating the application of augmented reality devices in manufacturing from a process point of view: An AHP based model
Optimizing filter rule parameters with genetic algorithm and stock selection with artificial neural networks for an improved trading: The case of Borsa Istanbul
A practical solution for modelling GDPR-compliance based on defeasible logic reasoning
Multilingual personalized hashtag recommendation for low resource Indic languages using graph-based deep neural network
WiFiNet: WiFi-based indoor localisation using CNNs
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection
HAM-GNN: A hierarchical attention-based multi-dimensional edge graph neural network for dialogue act classification
Hybrid flow shop with multiple servers: A computational evaluation and efficient divide-and-conquer heuristics
A graph-enhanced attention model for community detection in multiplex networks
Weak link prediction based on hyper latent distance in complex network
BioCrawler: An intelligent crawler for the semantic web
FAQtory: A framework to provide high-quality FAQ retrieval systems
Phoneme and tonal accent recognition for Thai speech
Video scene change detection using neural network: Improved ART2
Fuzzy semi-parametric partially linear model with fuzzy inputs and fuzzy outputs
Feature subset selection Filter-Wrapper based on low quality data
Multi-objective optimization matching for one-shot multi-attribute exchanges with quantity discounts in E-brokerage
ChatSOS: Vector database augmented generative question answering assistant in safety engineering
An empirical of service quality model from the viewpoint of management
Fall detection based on the gravity vector using a wide-angle camera
SDT: An integrated model for open-world knowledge graph reasoning
Applying the maximum utility measure in high utility sequential pattern mining
Design and application of a structure-varying coupled chaotic system with high security
Instance-Aware Visual Prompting helps multimodal models see better
Application of fuzzy multi-criteria decision making methods for financial performance evaluation of Turkish manufacturing industries
TFCSRec: Time-frequency consistency based contrastive learning for sequential recommendation
Machine learning approach for automated visual inspection of machine components
Hyperspectral anomaly detection via cascaded convolutional autoencoders with adaptive pixel-level attention
A novel cuboid method with particle swarm optimization for real-life noise attenuation from heart sound signals
Predicting strengths of concrete-type specimens using hybrid multilayer perceptrons with center-unified particle swarm optimization
Prediction of post-translational modification cross-talk and mutation within proteins via imbalanced learning
Importance-Performance Analysis by Fuzzy C-Means Algorithm
A rule induction-based knowledge system for retaining wall selection
Design a personalized e-learning system based on item response theory and artificial neural network approach
Discovering patterns of online popularity from time series
Information inconsistencies detection using a rule-map technique
Mixed-model assembly line balancing in the make-to-order and stochastic environment using multi-objective evolutionary algorithms
A decision support system for fuzzy multi-attribute selection of material handling equipments
A deep reinforcement learning system for the allocation of epidemic prevention materials based on DDPG
A scatter search method for heterogeneous fleet vehicle routing problem with release dates under lateness dependent tardiness costs
An improved categorical cross entropy for remote sensing image classification based on noisy labels
Learning multiple coordinated agents under directed acyclic graph constraints
Time-Frequency Sensitive Prompt Tuning Framework for Session-based Recommendation
A radial basis deep neural network process using the Bayesian regularization optimization for the monkeypox transmission model
DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements
Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays
CCMA: A framework for cascading cooperative multi-agent in autonomous driving merging using Large Language Models
Optimization of system reliability in multi-factory production networks by maintenance approach
Entrotaxis-Jump as a hybrid search algorithm for seeking an unknown emission source in a large-scale area with road network constraint
Context-aware personalized path inference from large-scale GPS snippets
Immune co-evolutionary algorithm based partition balancing optimization for tobacco distribution system
Towards better subtitles: A multilingual approach for punctuation restoration of speech transcripts
Inter- and Intra-Subject transfer learning for High-Performance SSVEP-BCI with extremely little calibration effort
A hybridized LSTM-ANN-RSA based deep learning models for prediction of COVID-19 cases in Eastern European countries
FireSeg: A weakly supervised fire segmentation framework via pre-trained latent diffusion models
Beyond superficial emotion recognition: Modality-adaptive emotion recognition system
A two-level coalition formation game for competitive swarms
Genetic evolving ant direction HDE for OPF with non-smooth cost functions and statistical analysis
Analysis of neural networks trained with evolutionary algorithms for the classification of breast cancer histological images
A composition-oriented aesthetic view recommendation network supervised by the simplified golden ratio theory
Physics-guided generative adversarial network for probabilistic structural system identification
Efficiently generating sentence-level textual adversarial examples with Seq2seq Stacked Auto-Encoder
Unmasking encryption effects and modified Deep learning approaches for attack classification in WSN
Providing ranked cooperative query answers using the metricized knowledge abstraction hierarchy
ECG-Text multi-modal learning for zero-shot detection via time-frequency alignment and medical prompt learning
PQKELP: Projected Quantum Kernel Embedding based Link Prediction in dynamic networks
Popularity prediction with semantic retrieval for news recommendation
Optimum steepest descent higher level learning radial basis function network
Automated measurement of beef cattle body size via key point detection and monocular depth estimation
Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes
A robust fuzzy cluster validity index based on local distances
Model checking-based decision support system for fault management: A comprehensive framework and application in electric power systems
Nash equilibrium for collective strategic reasoning
LSBT-Net: A lightweight framework for fault diagnosis of bearings based on an interpretable spatial-temporal model
Efficient data mining for local binary pattern in texture image analysis
Dynamic feature and context enhancement network for faster detection of small objects
QoS-aware cloud service composition: A systematic mapping study from the perspective of computational intelligence
Optimizing data regeneration and storage with data dependency for cloud scientific workflow systems
Design of convergent product concepts based on functionality: An association rule mining and decision tree approach
An efficient sparse Bayesian DOA estimator based on fixed-point method for off-grid targets
SALAD: A split active learning based unsupervised network data stream anomaly detection method using autoencoders
A constrained portfolio trading system using particle swarm algorithm and recurrent reinforcement learning
Comparison of Bayesian survival analysis and Cox regression analysis in simulated and breast cancer data sets
Decision trees and genetic algorithms for condition monitoring forecasting of aircraft air conditioning
Adaptive Penalty and Barrier function based on Fuzzy Logic
Fast automatic step size selection for zeroth-order nonconvex stochastic optimization
DCR: A new distributed model for human activity recognition in smart homes
Localized Adaptive Style Mixing for feature statistics manipulation in medical image translation with limited Data
Cost-sensitive learning classification strategy for predicting product failures
Integration of fuzzy AHP and FPP with TOPSIS methodology for aeroengine health assessment
A data attribution approach for unsupervised anomaly detection on multivariate time series
Using support vector machines in diagnoses of urological dysfunctions
Generation of new service concepts: A morphology analysis and genetic algorithm approach
Identification of flood depth levels in urban waterlogging disaster caused by rainstorm using a CBAM-improved ResNet50
Evaluating operation and coordination efficiencies of parallel-series two-stage system: A data envelopment analysis approach
A novel data encryption method using an interlaced chaotic transform
Multi-agent multi-criteria decision framework with interactive explanation tools
Autonomous plume Near-Source search assisted by intermittent visible plume information using finite state Machine and YOLOv3-tiny
Using quantum amplitude amplification in genetic algorithms
A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry
Computing recommendations from free-form text
A case-based reasoning model that uses preference theory functions for credit scoring
Spline regression based feature extraction for semiconductor process fault detection using support vector machine
Mobile-lizing continuance intention with the mobile expectation-confirmation model: An SEM-ANN-NCA approach
An intelligent risk assessment on prediction of COVID-19 pandemic using DNN and TSA: An empirical case study in Thailand
Ontology-based service product configuration system modeling and development
Multi-objective collaborative path planning for multiple water-air unmanned vehicles in cramped environments
A constrained multi-item EOQ inventory model for reusable items: Reinforcement learning-based differential evolution and particle swarm optimization
On efficient computation in active inference
Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing
Theory and method of genetic-neural optimizing cut-off grade and grade of crude ore
AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation
Multi-output regression using polygon generation and conditional generative adversarial networks
Path optimization algorithm for mobile sink in wireless sensor network
An automatic B-snake model based on deep learning for medical image segmentation
Performance improvement strategies on Cuckoo Search algorithms for solving the university course timetabling problem
Adversarial neighbor perception network with feature distillation for anomaly detection
The proportional coalitional Shapley value
Multi-objective evolutionary clustering with complex networks
Combined knowledge transfer and adaptive coordinate systems approach for evolutionary bilevel optimization
An efficient hardware architecture of integer motion estimation based on early termination and data reuse for Versatile video coding
Autonomous quadrotor flight with vision-based obstacle avoidance in virtual environment
Towards an autonomous human chromosome classification system using Competitive Support Vector Machines Teams (CSVMT)
Will economic development enhance the energy use efficiency and CO 2 emission control efficiency?
Adaptive windows multiple deep residual networks for speech recognition
Oscar: Omni-scale robust contrastive learning for Text-VQA
Multiobjective visual evolutionary neural network and related convolutional neural network optimization
Natural Language Processing for the identification of Human factors in aviation accidents causes: An application to the SHEL methodology
TSwinPose: Enhanced monocular 3D human pose estimation with JointFlow
A novel evidential reasoning based method for software trustworthiness evaluation under the uncertain and unreliable environment
A robust multi-response VNS-aiNet approach for solving scheduling problems under unrelated parallel machines environments
Modeling patent legal value by Extension Neural Network
Intelligent prognostics for battery health monitoring based on sample entropy
An autoencoder-based arithmetic optimization clustering algorithm to enhance principal component analysis to study the relations between industrial market stock indices in real estate
Firm failure prediction using genetic programming generated features
A decision support system for supplier quality evaluation based on MCDM-aggregation and machine learning
SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams
Undersampling method based on minority class density for imbalanced data
Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach
Transductive learning to rank using association rules