yusuke1997/dblp-id-title huggingface dataset:
A three-way decision method in a hybrid decision information system and its application in medical diagnosis
Machine learning in telemetry data mining of space mission: basics, challenging and future directions
On the current state of deep learning for news recommendation
Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations
Reusable tools for user modelling
Systematic study on deep learning-based plant disease detection or classification
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
An Accurate and Scalable Collaborative Recommender
Systematic review of web application security development model
Improved q-rung orthopair fuzzy line integral aggregation operators and their applications for multiple attribute decision making
Investigating the Relations used in Conceptual Combination
From single to universal: tiny lesion detection in medical imaging
Differential evolution algorithm with strategy adaptation and knowledge-based control parameters
Machine and deep learning for personality traits detection: a comprehensive survey and open research challenges
A multi-strategy enhanced dung beetle algorithm for solving real-world engineering problems
Bayesian network hybrid learning using an elite-guided genetic algorithm
An association between fingerprint patterns with blood group and lifestyle based diseases: a review
Meta-Patterns and Higher Order Meta-Patterns in Cellular Systems
A methodology for applying k-nearest neighbor to time series forecasting
CovidSens: a vision on reliable social sensing for COVID-19
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
Using proposed optimization algorithm for solving inverse kinematics of human upper limb applying in rehabilitation robotic
Fuzzy graphs: algebraic structure and syntactic recognition
Implicit and hybrid methods for attribute weighting in multi-attribute decision-making: a review study
Datasets for large language models: a comprehensive survey
Adjustable autonomy: a systematic literature review
Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021
Attention-based graph neural networks: a survey
Nonverbal acoustic communication in human-computer interaction
Issues of non-determinism in PROLOG and the Committed Choice Non-Deterministic logic languages
Discrete bee algorithms and their application in multivariable function optimization
Characterisation of a Novel Indexing Technique for Case-Based Reasoning
Three-way decision in machine learning tasks: a systematic review
Uncovering suggestions in MOOC discussion forums: a transformer-based approach
Missing values: how many can they be to preserve classification reliability?
Multiple sclerosis classification and segmentation in neuroimaging MRI using different machine and deep learning techniques: a review
Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities
An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering
Applications of deep learning algorithms in ischemic stroke detection, segmentation, and classification
Implementing bargaining game-based fuzzy cognitive map and mixed-motive games for group decisions in the healthcare supplier selection
Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction
A comprehensive review of conditional random fields: variants, hybrids and applications
Fall prediction using behavioural modelling from sensor data in smart homes
Multi-strategy adaptive cuckoo search algorithm for numerical optimization
Impact of employee digital competence on the relationship between digital autonomy and innovative work behavior: a systematic review
Novel coefficients for improved robustness in multi-criteria decision analysis
Revolutionizing personalized medicine with generative AI: a systematic review
Automatic program bug fixing by focusing on finding the shortest sequence of changes
Games of GANs: game-theoretical models for generative adversarial networks
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
A multi-leader Harris hawk optimization based on differential evolution for feature selection and prediction influenza viruses H1N1
A Logical Approach to Representing and Reasoning About Space
Lexicon based semantic detection of sentiments using expected likelihood estimate smoothed odds ratio
An effective conflict management method based on belief similarity measure and entropy for multi-sensor data fusion
Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning
Communicating Through Pictures
Learning diversified representations for visual abstract reasoning
Equilibrium optimizer-based harmony search algorithm with nonlinear dynamic domains and its application to real-world optimization problems
An assessment framework for explainable AI with applications to cybersecurity
Explaining Compound Critiques
UoloNet: based on multi-tasking enhanced small target medical segmentation model
Shaogang Gong, Stephen J. McKenna, Alexandra Psarrou, Dynamic Vision: From Images to Face Recognition - Review
Video shot-boundary detection: issues, challenges and solutions
Automated Modelling of Physiological Processes During Postharvest Distribution of Agricultural Products
A comparative evaluation of novelty detection algorithms for discrete sequences
A multi-strategy boosted bald eagle search algorithm for global optimization and constrained engineering problems: case study on MLP classification problems
The maintenance of legal knowledge based systems
A Comprehensive review of data-driven approaches for forecasting production from unconventional reservoirs: best practices and future directions
From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation
Privacy and security in recommenders: an analytical review
Bayesian belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study
Urdu language processing: a survey
Soft computing techniques for biomedical data analysis: open issues and challenges
One-class support vector machines: analysis of outlier detection for wireless sensor networks in harsh environments
Guiding lawyers: mapping law into hypertext
An experimental evaluation of Siamese Neural Networks for robot localization using omnidirectional imaging in indoor environments
Fuzzy Logic for Biological and Agricultural Systems
Advances in text-guided 3D editing: a survey
Non-parametric insights in option pricing: a systematic review of theory, implementation and future directions
Metalearning: a survey of trends and technologies
Boosting deep neural networks with geometrical prior knowledge: a survey
Model free position-force control of environmental constrained reconfigurable manipulators based on adaptive dynamic programming
Missing value imputation: a review and analysis of the literature (2006-2017)
CNNs, RNNs and Transformers in human action recognition: a survey and a hybrid model
40 years of cognitive architectures: core cognitive abilities and practical applications
Reinforcement learning for predictive maintenance: a systematic technical review
Chaotic slime mould optimization algorithm for global optimization
Low-carbon cities comprehensive evaluation method based on Fermatean fuzzy hybrid distance measure and TOPSIS
Image forgery techniques: a review
Graph reduction techniques for instance selection: comparative and empirical study
A review of q-rung orthopair fuzzy information: bibliometrics and future directions
Re-visiting the artificial immune recognition system: a survey and an improved version
Research and development of neural network ensembles: a survey
Web Intelligence (WI) 3.0: in search of a better-connected world to create a future intelligent society
Interval-valued intuitionistic fuzzy generator based low-light enhancement model for referenced image datasets
A survey on large language models unlearning: taxonomy, evaluations, and future directions
Intelligent characteristic objects method (INCOME): a data knowledge-based multi-criteria decision analysis
A survey of decision making methods based on certain hybrid soft set models
Hierarchical Labelling for Integrating Images and Words
A review of algorithms to computing irreducible testors applied to feature selection
Thinking in parallel: four steps to Parlog
A comprehensive survey of Crow Search Algorithm and its applications
A new deep neural network for forecasting: Deep dendritic artificial neural network
Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review
A Third Modality of Natural Language?
A survey of the recent architectures of deep convolutional neural networks
Connectionist systems for natural language understanding
Cuckoo catfish optimizer: a new meta-heuristic optimization algorithm
Editorial - AI in the Life Sciences
Can autism be catered with artificial intelligence-assisted intervention technology? A comprehensive survey
Emrnet: enhanced micro-expression recognition network with attention and distance correlation
Quantum encoding whale optimization algorithm for global optimization and adaptive infinite impulse response system identification
Fire Hawk Optimizer: a novel metaheuristic algorithm
Classification using hyperdimensional computing: a review with comparative analysis
Artificial intelligence applications in Permanent Magnet Brushless DC motor drives
A nonadditive rough set model for long-term clinical efficacy evaluation of chronic diseases in real-world settings
An Expressive Query Language for Product Recommender Systems
Name disambiguation in scientific cooperation network by exploiting user feedback
Classification of spinal curvature types using radiography images: deep learning versus classical methods
A comprehensive survey of specularity detection: state-of-the-art techniques and breakthroughs
Navigating with chemometrics and machine learning in chemistry
Estimation of automatic detection of erythemato-squamous diseases through AdaBoost and its hybrid classifiers
Separate-and-Conquer Rule Learning
A comprehensive review on financial explainable AI
Fuzzy extension of TOPSIS model for group decision making under multiple criteria
Tree-based classifier ensembles for early detection method of diabetes: an exploratory study
Alzheimer's disease detection using deep learning and machine learning: a review
Intelligent multi-robot exploration in non-exposed spaces: methods and challenges
Current studies and applications of Krill Herd and Gravitational Search Algorithms in healthcare
Ultrasound tissue classification: a review
Kernel selection in multi-class support vector machines and its consequence to the number of ties in majority voting method
An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects
Philosophical proposition optimizer (ΦPO): an epistemology-inspired algorithm for numerical optimization
A survey on artificial intelligence techniques for chronic diseases: open issues and challenges
Mixture of experts: a literature survey
Learning sign language machine translation based on elastic net regularization and latent semantic analysis
Model-agnostic explainable artificial intelligence methods in finance: a systematic review, recent developments, limitations, challenges and future directions
The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques
An incremental decision tree algorithm based on rough sets and its application in intrusion detection
Design and development of a unified framework towards swarm intelligence
Parameter identification of engineering problems using a differential shuffled complex evolution
A novel reinforcement learning-based multi-operator differential evolution with cubic spline for the path planning problem
How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis
The intelligent critic framework for advanced optimal control
Multi-agent based simulations using fast multipole method: application to large scale simulations of flocking dynamical systems
A survey on personality-aware recommendation systems
A survey of graph-modification techniques for privacy-preserving on networks
Knowledge discovery and visualization in antimicrobial resistance surveillance systems: a scoping review
A review of semi-supervised learning for text classification
Intuitionistic fuzzy three-way decision method based on data envelopment analysis
Layered rhombus-chain-connected model for real-time haptic rendering
Autonomous learning for fuzzy systems: a review
The effect of downsampling-upsampling strategy on foreground detection algorithms
Unsupervised clustering optimization-based efficient attention in YOLO for underwater object detection
Approximate homomorphic encryption based privacy-preserving machine learning: a survey
Accelerating Boolean Satisfiability (SAT) solving by common subclause elimination
Recent studies on optimisation method of Grey Wolf Optimiser (GWO): a review (2014-2017)
A survey on facial soft biometrics for video surveillance and forensic applications
Multilingual sentiment analysis: from formal to informal and scarce resource languages
Ethical AI
Evidence generalization-based discounting method: assigning unreliable information to partial ignorance
Artificial intelligence-enabled prediction model of student academic performance in online engineering education
Detecting Persian speaker-independent voice commands based on LSTM and ontology in communicating with the smart home appliances
An introduction to grey causal modelling (GCM): applications to manufacturing, supply chains, resilience, and sustainability
Anomalous citations detection in academic networks
Quantum novel genetic algorithm based on parallel subpopulation computing and its application
Fast connectionist learning: words and case
Performance assessment of the metaheuristic optimization algorithms: an exhaustive review
Multi-criteria decision support system for the evaluation of UAV intelligent agricultural sensors
Deep learning for compressive sensing: a ubiquitous systems perspective
Counting for Satisfiability by Inverting Resolution
Multi-level textual-visual alignment and fusion network for multimodal aspect-based sentiment analysis
An overview of case-based reasoning applications in drilling engineering
Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment
Control-Sensitive Feature Selection for Lazy Learners
AI-based bridge maintenance management: a comprehensive review
Combining neural computation and genetic programming for observational causality detection and causal modelling
Generalized Maclaurin symmetric mean aggregation operators based on Archimedean t-norm of the intuitionistic fuzzy soft set information
Siamese object tracking for unmanned aerial vehicle: a review and comprehensive analysis
Deep learning for multivariate time series anomaly detection: an evaluation of reconstruction-based methods
Human-in-the-loop machine learning: a state of the art
Correction to: Deep learning on multi-view sequential data: a survey
A review of deep learning-based recommender system in e-learning environments
Similarity-based multi-criteria decision making technique of pythagorean fuzzy sets
On the computational complexity of ethics: moral tractability for minds and machines
Gaussian mixture model based segmentation methods for brain MRI images
Understanding Language through Vision
Intelligent service processing in common USN middleware
L0 - The First Five Years of an Automated Language Acquisition Project
A comprehensive survey of recent trends in deep learning for digital images augmentation
A survey of tagging techniques for music, speech and environmental sound
Methods and strategies on off-line cursive touched characters segmentation: a directional review
Feature subset selection for multi-scale neighborhood decision information system via mutual information
Buried pipe localization using an iterative geometric clustering on GPR data
Techniques and challenges for nuclei segmentation in cervical smear images: a review
An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm
An evidential linguistic ELECTRE method for selection of emergency shelter sites
Editorial Intelligent Help Systems for UNIX: Natural Language Dialogue
A new method in multimodal optimization based on firefly algorithm
Zero-day attack detection: a systematic literature review
Spatial Reasoning Using the Quad Tesseral Representation
A multi-agent based user context Bayesian neural network analysis system
Learning Sequences of Compatible Actions Among Agents
SFSADE: an improved self-adaptive differential evolution algorithm with a shuffled frog-leaping strategy
On the applications of neural ordinary differential equations in medical image analysis
Artificial intelligence in environmental and Earth system sciences: explainability and trustworthiness
Structured connectionist models and language learning
Survey on aspect detection for aspect-based sentiment analysis
Automatic Arabic text summarization: a survey
Finding robust solutions for constraint satisfaction problems with discrete and ordered domains by coverings
Application of fractional fuzzy soft sets using hamacher aggregation operators in agriculture robots selection
Generative AI: a double-edged sword in the cyber threat landscape
Signal processing and Gaussian neural networks for the edge and damage detection in immersed metal plate-like structures
Evaluating large language models effectiveness for flow-based intrusion detection: a comparative study with ML and DL baselines
An overview of kernel alignment and its applications
Revisiting streaming anomaly detection: benchmark and evaluation
On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV
On the Referential Competence of Some Machines
Natural language processing in the patent domain: a survey
Deep learning for lungs cancer detection: a review
Shilling attacks against recommender systems: a comprehensive survey
Intelligent Selection of Instances for Prediction Functions in Lazy Learning Algorithms
A survey of smart dustbin systems using the IoT and deep learning
Application of artificial intelligence in coal mine ultra-deep roadway engineering - a review
Interaction effects in simultaneous motor control and movement perception tasks
Opportunities and challenges in enhancing access to metadata of cultural heritage collections: a survey
A systematic review of generative AI: importance of industry and startup-centered perspectives, agentic AI, ethical considerations & challenges, and future directions
Advanced value iteration for discrete-time intelligent critic control: A survey
A survey of personality and learning styles models applied in virtual environments with emphasis on e-learning environments
A survey of recent approaches to form understanding in scanned documents
Ocular recognition databases and competitions: a survey
Group decision-making with Fermatean fuzzy soft expert knowledge
Construction of multivalued cryptographic boolean function using recurrent neural network and its application in image encryption scheme
Optimization of road route alignment: a systematic literature review with meta analysis
Linguistic neutrosophic partitioned Maclaurin symmetric mean operators based on clustering algorithm and their application to multi-criteria group decision-making
Empirically grounded agent-based models of innovation diffusion: a critical review
AI meets physics: a comprehensive survey
A survey on the use of machine learning methods in context-aware middlewares for human activity recognition
Ranking of single-valued neutrosophic numbers through the index of optimism and its reasonable properties
New covering techniques and applications utilizing multigranulation fuzzy rough sets
Exploring the frontiers of LLMs in psychological applications: a comprehensive review
A practical utility-based but objective approach to model selection for regression in scientific applications
A sensitivity analysis method aimed at enhancing the metaheuristics for continuous optimization
Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Improving Eye Movement Control in Young Readers
Artificial glial cells in artificial neuronal networks: a systematic review
Matrix games with linguistic intuitionistic fuzzy Payoffs : Basic results and solution methods
A survey on deep learning-based automated essay scoring and feedback generation
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity
'The strange story of the Perceptron'
An MDD-based SAT encoding for pseudo-Boolean constraints with at-most-one relations
A set of novel mining tools for efficient biological knowledge discovery
Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
An efficient starling murmuration-based secure web service model for smart city application using DBN
Identification and Measurement of Convolutions in Cotton Fiber Using Image Analysis
Automatic targetless LiDAR-camera calibration: a survey
Conference Report on The Eighth Ireland Conference on Artificial Intelligence and Cognitive Science (AICS-97), September 10-13, 1997
A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression
A survey on evolutionary computation for complex continuous optimization
A review on the application of structured sparse representation at image annotation
Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources
What do Constructive Learners Really Learn?
Cognitive motivations and foundations for building intelligent decision-making systems
Modified immune network algorithm based on the Random Forest approach for the complex objects control
Analytical review of clustering techniques and proximity measures
Study of automatic text summarization approaches in different languages
Intuitionistic principal value Z-linguistic hybrid geometric operator and their applications for multi-attribute group decision-making
An efficient approach to attribute reductions of quantitative dominance-based neighborhood rough sets based on graded information granules
Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction
Planning Intelligent Responses in a Natural Language System
A systematic survey of hybrid ML techniques for predicting peak particle velocity (PPV) in open-cast mine blasting operations
An overview on trajectory outlier detection
Attention, please! A survey of neural attention models in deep learning
DeepThink IoT: The Strength of Deep Learning in Internet of Things
Model-free reinforcement learning from expert demonstrations: a survey
Reconstructing damaged fNIRS signals with a generative deep learning model
Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review
Knowledge transfer in lifelong machine learning: a systematic literature review
RNN-AFOX: adaptive FOX-inspired-based technique for automated tuning of recurrent neural network hyper-parameters
Image denoising in the deep learning era
Aspect extraction in sentiment analysis: comparative analysis and survey
Deep dive into RNA: a systematic literature review on RNA structure prediction using machine learning methods
Suspicious human activity recognition: a review
Special issue of the 8th AIAI 2012 (Artificial Intelligence Applications and Innovations) international conference