yusuke1997/dblp-id-title huggingface dataset:
A forensic methodology for countering computer crime
Advancements in air quality monitoring: a systematic review of IoT-based air quality monitoring and AI technologies
Modeling and prediction of business success: a survey
An approach to prevent weight manipulation by minimum adjustment and maximum entropy method in social network group decision making
The review of multiple evolutionary searches and multi-objective evolutionary algorithms
Prototype of fault adaptive embedded software for large-scale real-time systems
Exploring the potential of explainable AI in brain tumor detection and classification: a systematic review
Video diffusion generation: comprehensive review and open problems
A survey of machine learning techniques for food sales prediction
A review on the long short-term memory model
Plan recognition for interface agents
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
The problem with law in books and law in computers: The oral nature of law
Forensic research of satellite images forgery: a comprehensive survey
Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging
Networks clustering with bee colony
Deep learning for pancreas segmentation on computed tomography: a systematic review
Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions
Optimized fuzzy clustering using moth-flame optimization algorithm in wireless sensor networks
Efficient mortality prediction for acute respiratory failure: a resource-constrained machine learning approach using MIMIC databases
A computational model of design critiquing
Video benchmarks of human action datasets: a review
Fine-grained attention-based phrase-aware network for aspect-level sentiment analysis
Automatic path planning of unmanned combat aerial vehicle based on double-layer coding method with enhanced grey wolf optimizer
Three-way decision model under a large-scale group decision-making environment with detecting and managing non-cooperative behaviors in consensus reaching process
Validation is the central challenge for generative social simulation: a critical review of LLMs in agent-based modeling
H1DBi-R Net: Hybrid 1D Bidirectional RNN for Efficient Diabetic Retinopathy Detection and Classification
Incorporating Software Visualization in the Design of Intelligent Diagnosis Systems for User Programming
A Perspective View and Survey of Meta-Learning
A synergetic intuitionistic fuzzy model combining AHP, entropy, and ELECTRE for data fabric solution selection
Granular support vector machine: a review
Simple algorithm portfolio for SAT
Comparing knowledge elicitation techniques: a case study
Graded Relative Evidence
Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system
A comparative study of multi-objective optimization algorithms for sparse signal reconstruction
Shilling attacks against collaborative recommender systems: a review
An approach to MCGDM based on multi-granulation Pythagorean fuzzy rough set over two universes and its application to medical decision problem
Filtering techniques for channel selection in motor imagery EEG applications: a survey
A study on development of cognitive support features in recent ontology visualization tools
Artificial intelligence for secure and sustainable industrial control systems - A Survey of challenges and solutions
An IoT based smart menstrual cup using optimized adaptive CNN model for effective menstrual hygiene management
Robotics for Plant Production
Visual tracking using convolutional features with sparse coding
Projection based regret theory on three-way decision model in probabilistic interval-valued q-rung orthopair hesitant fuzzy set and its application to medicine company
A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks
Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
Literature review on the creativity of CBR applications
Fuzzy Petri nets and industrial applications: a review
Generative AI revolution in cybersecurity: a comprehensive review of threat intelligence and operations
Memory and Expectations in Learning, Language, and Visual Understanding
A review of hyperspectral image classification based on graph neural networks
Survey of machine learning techniques for Arabic fake news detection
Artificial intelligent Global Online Learning (GOL) theory by generalized n-ary fuzzy relation
Modal context restriction for multiagent BDI logics
Advances in machine learning for wetland classification: a comprehensive survey of methods and applications
Editorial: Engineering autonomic systems
Medical image data augmentation: techniques, comparisons and interpretations
A probabilistic linguistic and dual trust network-based user collaborative filtering model
Reinforcement learning in robotic applications: a comprehensive survey
Understanding upper-limb movements via neurocomputational models of the sensorimotor system and neurorobotics: where we stand
Additive consistency exploration of linguistic preference relations with self-confidence
Fuzzy-set-based decision making through energy-aware and utility agents within wireless sensor networks
Cluster-based decision making: a novel approach for handling large-scale alternatives in rooftop solar PV site selection
Comparison of algorithms to divide noisy phone sequences into syllables for automatic unconstrained English speaking proficiency scoring
Predicting the occurrence of adverse events using an adaptive neuro-fuzzy inference system (ANFIS) approach with the help of ANFIS input selection
An Arc-Consistency Algorithm for Dynamic and Distributed Constraint Satisfaction Problems
A trilevel analysis of uncertainty measuresin partition-based granular computing
Ship detection with deep learning: a survey
Projection wavelet weighted twin support vector regression for OFDM system channel estimation
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework
The goat search algorithms
A systematic review of deep learning based image segmentation to detect polyp
Character and numeral recognition for non-Indic and Indic scripts: a survey
A review of wave-net identical learning & filling-in in a decomposition space of (JPG-JPEG) sampled images
Survey on supervised machine learning techniques for automatic text classification
A comprehensive review of krill herd algorithm: variants, hybrids and applications
Exploration of a mechanism to form bionic, self-growing and self-organizing neural network
Big data applications: overview, challenges and future
Learning search algorithm: framework and comprehensive performance for solving optimization problems
Spherical fuzzy TODIM method for MAGDM integrating cumulative prospect theory and CRITIC method and its application to commercial insurance selection
Evaluating expert systems: a review of applicable approaches
Weighted-spectral clustering algorithm for detecting community structures in complex networks
Learning techniques in Extended Hierarchical Censored Production Rules (EHCPRs) System
Learning Intelligent Behavior in a Non-stationary and Partially Observable Environment
Trinocular vision with deep learning for object twist estimation: a benchmark approach and dataset
Petri net-based context modeling for context-aware systems
Does AI have a methodology which is different from software engineering?
Algorithms for frequent itemset mining: a literature review
An Assessment of Case-Based Reasoning for Spam Filtering
The role of artificial intelligence and machine learning in wireless networks security: principle, practice and challenges
A Personalized Defection Detection and Prevention Procedure based on the Self-Organizing Map and Association Rule Mining: Applied to Online Game Site
A state of the art review of intelligent scheduling
Performance comparison of five metaheuristic nature-inspired algorithms to find near-OGRs for WDM systems
Artificial intelligence techniques and their application in oil and gas industry
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues
Multi-scale graph diffusion convolutional network for multi-view learning
Improved multi-strategy adaptive Grey Wolf Optimization for practical engineering applications and high-dimensional problem solving
A query-based approach for test selection in diagnosis
Possibilistic C-means with novel image representation for image segmentation
A review of applications of artificial intelligent algorithms in wind farms
Issues in Commonsense Set Theory
Face detection techniques: a review
Research on a distributed strategy for UAV detection and tracking of specific targets
Vision based hand gesture recognition for human computer interaction: a survey
Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques
ED-Filter: dynamic feature filtering for eating disorder classification
Deep learning for video object segmentation: a review
A hybrid data envelopment analysis - artificial neural network prediction model for COVID-19 severity in transplant recipients
A Visual News Processing Environment
Unlocking the capabilities of explainable few-shot learning in remote sensing
A survey of learning-based techniques of email spam filtering
Passive image forensics using universal techniques: a review
Optimizing Personal Computer Configurations with Heuristic-Based Search Methods
Parallel intelligence in three decades: a historical review and future perspective on ACP and cyber-physical-social systems
Optimisation of electrical Impedance tomography image reconstruction error using heuristic algorithms
Computers in law - Some questions
Neural networks for epilepsy detection and prediction with EEG signals: a systematic review
m-polar neutrosophic soft mapping with application to multiple personality disorder and its associated mental disorders
Federated learning design and functional models: survey
Ball tracking in sports: a survey
The effects of viscosity in choice and refusal IPD environments
An attempt to enhance performance in user session based information retrieval
Enhancement of parcel valuation with adaptive artificial neural network modeling
Machine Learning in Drug Discovery: A Review
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer
Artificial intelligence (AI) and machine learning (ML) in procurement and purchasing decision-support (DS): a taxonomic literature review and research opportunities
A multi-objective genetic algorithm for simultaneous model and feature selection for support vector machines
Hybrid group decision-making technique under spherical fuzzy N-soft expert sets
A systematic survey on human pose estimation: upstream and downstream tasks, approaches, lightweight models, and prospects
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting
The effect of pooling parameters on the performance of convolution neural network
Feature selection for support vector machines with RBF kernel
Feature subset selection for data and feature streams: a review
A review on graph neural networks for predicting synergistic drug combinations
Adversarial regularize graph variational autoencoder based on encoder optimization strategy
Websom for Textual Data Mining
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Machine learning: a survey of current techniques
Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer
Smart farming prediction models for precision agriculture: a comprehensive survey
A critical review of explainable deep learning in lung cancer diagnosis
A comprehensive review of machine learning applications for internet of nano things: challenges and future directions
Neurosymbolic AI: the 3rd wave
Traditional to transfer learning progression on scene text detection and recognition: a survey
Word embedding factor based multi-head attention
Integrated MADM approach based on extended MABAC method with Aczel-Alsina generalized weighted Bonferroni mean operator
Understanding rate of return dynamics of cryptocurrencies: an experimental campaign
An evaluation of one-class classification techniques for speaker verification
A review on clustering algorithms for spatiotemporal seismicity analysis
Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks
Artificial biochemical networks: a different connectionist paradigm
Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography
Multi-strategy improved snow ablation optimizer: a case study of optimization of kernel extreme learning machine for flood prediction
Generalized q-rung orthopair fuzzy interactive Hamacher power average and Heronian means for MADM
Convolutional network fabric pruning with label noise
Systematic exploration and in-depth analysis of ChatGPT architectures progression
Automatic radiology report generation with deep learning: a comprehensive review of methods and advances
Genetic biomarkers and machine learning techniques for predicting diabetes: systematic review
The Pygmalion effect in AI: influence of cultural narratives and policies on technological development
A step gravitational search algorithm for function optimization and STTM's synchronous feature selection-parameter optimization
Correction to: Evaluating representational systems in artificial intelligence
A review of generative adversarial networks and its application in cybersecurity
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
Systematic review on neural architecture search
Large language models (LLMs): survey, technical frameworks, and future challenges
An Investigation into the Common Semantics of Language and Vision
Data-driven effort estimation techniques of agile user stories: a systematic literature review
Explainable artificial intelligence (XAI) in finance: a systematic literature review
Optimal hybrid participation of customers in a smart micro-grid based on day-ahead electrical market
A systematic review of aspect-based sentiment analysis: domains, methods, and trends
Data augmentation in predictive maintenance applicable to hydrogen combustion engines: a review
Multi-source deep transfer learning algorithm based on feature alignment
Specification overfitting in artificial intelligence
Self-dependence multi-label learning with double k for missing labels
A stable mapping of nmODE
Interval valued demand related inventory model under all units discount facility and deterioration via parametric approach
Combining the real world with simulations for a robust testing of Ambient Intelligence services
A comprehensive review on key technologies toward smart healthcare systems based IoT: technical aspects, challenges and future directions
A review of breast boundary and pectoral muscle segmentation methods in computer-aided detection/diagnosis of breast mammography
Clarity in complexity: how aggregating explanations resolves the disagreement problem
Optimization Driven Spike Deep Belief Neural Network classifier: a deep-learning based Multichannel Spike Sorting Neural Signal Processor (NSP) module for high-channel-count Brain Machine Interfaces (BMIs)
Uncertainty analysis in document publications using single-valued neutrosophic set and collaborative entropy
A Review of Statistical Language Processing Techniques
Multi-agent system for microgrids: design, optimization and performance
Artificial intelligence techniques for dynamic security assessments - a survey
Environmental, social, and governance (ESG) and artificial intelligence in finance: State-of-the-art and research takeaways
Negotiation among autonomous computational agents: principles, analysis and challenges
A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization
Computational methods for studying relationship between nutritional status and respiratory viral diseases: a systematic review
Role of Artificial Intelligence in the crime prediction and pattern analysis studies published over the last decade: a scientometric analysis
An efficient model for diabetic detection using heuristic approach based serial cascaded convolutional ensemble network
A framework for measuring the training efficiency of a neural architecture
Quantum deep learning in neuroinformatics: a systematic review
Comprehensive exploration of diffusion models in image generation: a survey
A survey on binary metaheuristic algorithms and their engineering applications
A survey of graph neural networks in various learning paradigms: methods, applications, and challenges
AI in motion: a systematic review of artificial intelligence-driven virtual assistants for physical activity promotion and their comparison with traditional strategies
Fuzzy logic for modeling machining process: a review
Artificial Intelligence research at the National University of Singapore
A systematic review of data-driven approaches in player modeling of educational games
Improvement of harmony search algorithm by using statistical analysis
Reliability intelligence analysis of concrete arch bridge based on Kriging model and PSOSA hybrid algorithm
Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis
Predicting total sediment load transport in rivers using regression techniques, extreme learning and deep learning models
Tianji's horse racing optimization (THRO): a new metaheuristic inspired by ancient wisdom and its engineering optimization applications
On the evaluation and combination of state-of-the-art features in Twitter sentiment analysis
Fractional order dung beetle optimizer with reduction factor for global optimization and industrial engineering optimization problems
Retrieval Failure and Recovery in Recommender Systems
Image data hiding schemes based on metaheuristic optimization: a review
The state-of-the-art in personalized recommender systems for social networking
Solution Techniques for Constraint Satisfaction Problems: Advanced Approaches
Deep learning model using classification for diabetic retinopathy detection: an overview
Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review
The variants of the harmony search algorithm: an overview
Intelligent tutoring systems: an overview
Fuzzy Logic: Misconceptions and Clarifications
Machine learning for food security: current status, challenges, and future perspectives
A systematic literature review on municipal solid waste management using machine learning and deep learning
Population reduction with individual similarity for differential evolution
A review of methods for gene regulatory networks reconstruction and analysis
The state of play in machine/environment interactions
Exploring the integration of artificial intelligence (AI) and augmented reality (AR) in maritime medicine
Visual privacy attacks and defenses in deep learning: a survey
Scaling transformers for time series forecasting: do pretrained large models outperform small-scale alternatives?
Multi-model integration for dynamic forecasting (MIDF): a framework for wind speed and direction prediction
Learning, Goals, and Learning Goals: A Perspective on Goal-Driven Learning
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
A survey of deep causal models and their industrial applications
Virtues and Problems of an Active Help System for UNIX
Nearest prototype classification of noisy data
Off-line cursive script recognition: current advances, comparisons and remaining problems
Detecting hate speech in memes: a review
Comparison of support vector machine, back propagation neural network and extreme learning machine for syndrome element differentiation
The design approaches of two-dimensional digital filters based on metaheuristic optimization algorithms: a review of the literature
The OSCON Operating System Consultant
Empirical evaluation and study of text stemming algorithms
Research of granular support vector machine
Enhanced adaptive-convergence in Harris' hawks optimization algorithm
An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods
Advancing explainable MOOC recommendation systems: a morphological operations-based framework on partially ordered neutrosophic fuzzy hypergraphs
Reconstructing dance movements using a mathematical model based on optimized nature-inspired machine learning
Neural Navigation Interfaces for Information Retrieval: Are They More than an Appealing Idea?
Designing a robust extreme gradient boosting model with SHAP-based interpretation for predicting carbonation depth in recycled aggregate concrete
Attribute reducts of multi-granulation information system
Artificial intelligence application and high-performance work systems in the manufacturing sector: a moderated-mediating model
A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva's public transportation
A comparative study of hash based approximate nearest neighbor learning and its application in image retrieval
Concept of hidden classes in pattern classification
Deep reinforcement learning-based methods for resource scheduling in cloud computing: a review and future directions
Bimatrix games under dense fuzzy environment and its application to natural disaster management
Automated machine learning: past, present and future
A survey on independence-based Markov networks learning
Survey on classifying human actions through visual sensors
Mixed-initiative problem solving with decision trees
Short-text feature construction and selection in social media data: a survey
Improved arithmetic optimization algorithm for design optimization of fuzzy controllers in steel building structures with nonlinear behavior considering near fault ground motion effects
From task to evaluation: an automatic text summarization review
A comprehensive review of theoretical concepts and advancements in physics-informed neural networks with applications in structural engineering
Automatic sleep stage classification using deep learning: signals, data representation, and neural networks
Machine learning and deep learning based psoriasis recognition system: evaluation, management, prognosis - where we are and the way to the future
SFIAD: Deepfake detection through spatial-frequency feature integration and dynamic margin optimization
Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans
Product typicality attribute mining method based on a topic clustering ensemble
Document image analysis: issues, comparison of methods and remaining problems
A systematic literature review for load balancing and task scheduling techniques in cloud computing
Time expression recognition and normalization: a survey
Deep reinforcement learning in computer vision: a comprehensive survey
Combining deep subspace feature representation based IKPCANet and jointly constraint multi-dictionary learning for facial expression recognition
Categorizing feature selection methods for multi-label classification
A discrete shuffled frog optimization algorithm
Ordinal preference and inter-rater pattern recognition: Hopfield neural network vs. measures of association
Valid prediction intervals for regression problems
Abstracting general syntax for XAI after decomposing explanation sub-components
A survey of image spamming and filtering techniques
A comprehensive review of the video-to-text problem
Vision in robot soccer: a review