yusuke1997/dblp-id-title huggingface dataset:
Graph network learning for human skeleton modeling: a survey
Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications
Saving Support-Checks Does Not Always Save Time
Gene selection for single cell RNA-seq data via fuzzy rough iterative computation model
Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection
GOFAM: a hybrid neural network classifier combining fuzzy ARTMAP and genetic algorithm
A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
Systematic reviews in sentiment analysis: a tertiary study
Towards Fast Vickrey Pricing using Constraint Programming
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Comparative analysis of MCDM methods for the assessment of mortality in patients with acute coronary syndrome
Report on AI research in progress in New Zealand universities
A three-way decision model for multi-granular support intuitionistic fuzzy rough sets based on overlap functions
A review of named entity recognition: from learning methods to modelling paradigms and tasks
The Human Interactome Knowledge Base (HINT-KB): an integrative human protein interaction database enriched with predicted protein-protein interaction scores using a novel hybrid technique
A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions
An overview of learning-based dexterous grasping: recent advances and future directions
The use of artificial intelligence based techniques for intrusion detection: a review
Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text
Machine learning-based bee recognition and tracking for advancing insect behavior research
Machine learning techniques for coffee classification: a comprehensive review of scientific research
Using relaxations to improve search in distributed constraint optimisation
Recent trends in distributed production network scheduling problem
Exploring the influential reviewer, review and product determinants for review helpfulness
Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review
Towards few-call model stealing via active self-paced knowledge distillation and diffusion-based image generation
A Vision of "Vision and Language" Comprises Action: An Example from Road Traffic
Truth maintenance systems and their application for verifying Expert System Knowledge Bases
Faster independent vector analysis with joint pairwise updates of demixing vectors
Expressiveness of temporal query languages: on the modelling of intervals, interval relationships and states
Improved three phase H-7 transformerless inverter with DPWM to reduce leakage current using CNN based deep learning technique
Arabic natural language processing for Qur'anic research: a systematic review
Many Birds Fly, Some Don't
A survey of safety and trustworthiness of large language models through the lens of verification and validation
EDU-EX: A Tool for Auto-Regulated Intelligent Tutoring Systems Development Based on Models
Recognition of surgically altered face images: an empirical analysis on recent advances
AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review
Cancelable Biometrics: a comprehensive survey
Understanding the Crucial Role of Attribute Interaction in Data Mining
Counterfactuals in fuzzy relational models
Reinforcement learning-based drone simulators: survey, practice, and challenge
Hybridization of hybrid structures for time series forecasting: a review
Patch Autocorrelation Features: a translation and rotation invariant approach for image classification
Automatic fruit picking technology: a comprehensive review of research advances
Review of filtering based feature selection for Botnet detection in the Internet of Things
Identifying semantic equivalence for multi-document summarisation
A Hybrid Framework for Over-Constrained Generalized
A survey of semantic relatedness evaluation datasets and procedures
Locally Weighted Learning for Control
Novel aggregation operators and ranking method for complex intuitionistic fuzzy sets and their applications to decision-making process
Image segmentation evaluation: a survey of methods
Crime linkage and psychological profiling of offenders under intuitionistic fuzzy environment using a novel resemblance measure
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
SFI-ensemble: Sugeno fuzzy integral-based ensemble of CNN models with meta-heuristic fuzzy measures for mouth and oral disease detection
A systematic literature review on state-of-the-art deep learning methods for process prediction
A comprehensive survey on impact of applying various technologies on the internet of medical things
Clustering ensemble selection considering quality and diversity
Learning from crowdsourced labeled data: a survey
A comparative empirical study on social media sentiment analysis over various genres and languages
An efficient lightweight convolutional neural network for industrial surface defect detection
Chinese dialect speech recognition: a comprehensive survey
Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication
On hesitant neutrosophic rough set over two universes and its application
Domain generalization through meta-learning: a survey
Analyzing customer preferences for hydrogen cars: a characteristic objects method approach
A Teaching Strategy for Memory-Based Control
The Graphic-Linguistic Distinction Exploring Alternatives
Class Noise vs. Attribute Noise: A Quantitative Study
A systematic review of text stemming techniques
A comprehensive review on feature set used for anaphora resolution
Enhancing trustworthy deep learning for image classification against evasion attacks: a systematic literature review
A review of graph neural network applications in mechanics-related domains
Fashion intelligence in the Metaverse: promise and future prospects
Monte Carlo Tree Search: a review of recent modifications and applications
Effective lexicon-based approach for Urdu sentiment analysis
simVar: A Similarity-Influenced Question Selection Criterion for e-Sales Dialogs
Understanding and summarization
Intelligent Database Design Diagnosis: Performance Assessment with the Provision of Domain Knowledge
Deep learning-based 3D reconstruction: a survey
Multi-knowledge resources-based semantic similarity models with application for movie recommender system
Early health prediction framework using XGBoost ensemble algorithm in intelligent environment
Reinforcement learning for single-agent to multi-agent systems: from basic theory to industrial application progress, a survey
On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
Spatial Models for Wide-Area Visual Surveillance: Computational Approaches and Spatial Building-Blocks
Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection
The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovation
Artificial Keys for Botanical Identification using a Multilayer Perceptron Neural Network (MLP)
A survey on classification techniques for opinion mining and sentiment analysis
Expressive Applications of Constraint Logic Programming
Novel classes of coverings based multigranulation fuzzy rough sets and corresponding applications to multiple attribute group decision-making
Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions
An evolutionary approach to deception in multi-agent systems
Intelligent diagnostic feedback for online multiple-choice questions
An MCDM approach towards handling outliers in web data: a case study using OWA operators
Ameliorated elk herd optimizer for global optimization and engineering problems
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
Scaffolding student online discussions using past discussions: PedaBot studies
Dynamic optimization of min-df in the GreedSum algorithm for enhanced extractive summarization
Deep learning based computer aided diagnosis of Alzheimer's disease: a snapshot of last 5 years, gaps, and future directions
Application of artificial intelligence technology in the study of anthropogenic earthquakes: a review
Artificial intelligence in the creative industries: a review
Radiomics and artificial intelligence in breast imaging: a survey
A Survey of artificial immune applications
Variational autoencoders for 3D data processing
Computational imaging based on single-photon detection: a survey
Topologies and performance of intelligent algorithms: a comprehensive review
A systematic review of the use of topic models for short text social media analysis
CTWA: a novel incremental deep learning-based intrusion detection method for the Internet of Things
Research on the attributes of rational agent's internal states
Writing style change detection: state of the art, challenges, and research opportunities
Some new product operations of T-spherical fuzzy graphs and an application of T-spherical fuzzy graphs in MCGDM
Application of DNA computing in graph theory
An Evaluation of Evolutionary Generalisation in Genetic Programming
Some Reflections on Intelligent Control
Bio-inspired optimization methods for visible light communication: a comprehensive review
A data-driven missing value imputation approach for longitudinal datasets
Fodor and Pylyshyn on connectionism: an extended review and brief critique
AI on the edge: a comprehensive review
Systematic taxonomic framework of metaheuristic algorithms using hierarchical clustering and structural criteria: how novel is the novelty?
Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis
A comprehensive study on modern optimization techniques for engineering applications
Versatile time-window sliding machine learning techniques for stock market forecasting
Generation and Countermeasures of adversarial examples on vision: a survey
An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy
A robust extension of VIKOR method for bipolar fuzzy sets using connection numbers of SPA theory based metric spaces
A metamodeling approach for the identification of organizational smells in multi-agent systems: application to ASPECS
Formal semantics: is it relevant to artificial intelligence?
Survey on sentiment analysis: evolution of research methods and topics
Evaluating AI-powered predictive solutions for MRI in lumbar spinal stenosis: a systematic review
Fermatean fuzzy sets and its extensions: a systematic literature review
A study of the effect of different types of noise on the precision of supervised learning techniques
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
An incremental ensemble of classifiers
Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study
Revisiting non-learned operators based deep learning for image classification: a lightweight directional-aware network
A new classification approach for neural networks hardware: from standards chips to embedded systems on chip
An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features
Tensor decomposition for analysing time-evolving social networks: an overview
Applications of deep learning in Alzheimer's disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions
Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets
Two types of coverings based multigranulation rough fuzzy sets and applications to decision making
A review of convolutional neural networks in computer vision
Deep learning for survival analysis: a review
A general framework for multi-granulation rough decision-making method under q-rung dual hesitant fuzzy environment
Real time identification and control of dynamic systems using recurrent neural networks
Deep learning for cancer cell detection: do we need dedicated models?
A survey on bug prioritization
Effective multiplicative updates for non-negative discriminative learning in multimodal dimensionality reduction
MAAPO: an innovative membrane algorithm based on artificial protozoa optimizer for multilevel threshold image segmentation
Intuitionistic 2-tuple linguistic aggregation information based on Einstein operations and their applications in group decision making
Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: an experimental study
Bio-inspired behaviour-based control
Application of an improved discrete crow search algorithm with local search and elitism on a humanitarian relief case
Efficient data interpretation and artificial intelligence enabled IoT based smart sensing system
Genetic programming in civil engineering: advent, applications and future trends
Survey on evaluation methods for dialogue systems
An efficient multimodal sentiment analysis in social media using hybrid optimal multi-scale residual attention network
Computational trust and reputation models for open multi-agent systems: a review
Anomaly detection and defense techniques in federated learning: a comprehensive review
A survey of inverse reinforcement learning
A review of feature selection methods for actual evapotranspiration prediction
Deepfake video detection: challenges and opportunities
Enhanced leader particle swarm optimisation (ELPSO): a new algorithm for optimal scheduling of home appliances in demand response programs
Non-player character decision-making in computer games
Logic programming for combinatorial problems
Deep emotion recognition in textual conversations: a survey
Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models
Pairwise saturations in inductive logic programming
Private predictions on hidden Markov models
Selection of optimal denoising-based regularization hyper-parameters for performance improvement in a sensor validation model
A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm
A comprehensive review of artificial intelligence - based algorithm towards fetal facial anomalies detection (2013-2024)
A survey on training challenges in generative adversarial networks for biomedical image analysis
Successful Naïve Representation Grounding
Androbank: the impact of API levels on mobile malware detection
A review of instance selection methods
An introduction to and comparison of computational creativity and design computing
A survey on imbalanced learning: latest research, applications and future directions
Decoding nature's melody: significance and challenges of machine learning in assessing bird diversity via soundscape analysis
Automated camera planning to film robot operations
The role of experience in the interpretation of noun-noun combinations
Preparation process and performance of polyurethane modified bitumen investigated using machine learning algorithm
Artificial intelligence techniques for driving safety and vehicle crash prediction
Scientometric analysis of literature on distributed vehicular networks : VOSViewer visualization techniques
Iterative ADP learning algorithms for discrete-time multi-player games
Ontologies versus relational databases: are they so different? A comparison
A dynamic Fermatean fuzzy approach for multistage decision-making in investment benefit assessment of smart grids
Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms
The interactive fusion of characters and lexical information for Chinese named entity recognition
Frog call classification: a survey
Zone analysis: a visualization framework for classification problems
Parameter selection, analysis and evaluation of an improved particle swarm optimizer with leadership
A survey of deep learning techniques for machine reading comprehension
A hierarchical sparrow search algorithm to solve numerical optimization and estimate parameters of carbon fiber drawing process
A comparative study of pattern recognition algorithms for predicting the inpatient mortality risk using routine laboratory measurements
Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance
Apple Computer's Authoring Tools & Titles R&D Program
Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures
BERT applications in natural language processing: a review
Intelligent system based on local linear wavelet neural network and recursive least square approach for breast cancer classification
On the comparative performance of recent swarm intelligence based algorithms for optimization of real-life Sterling cycle operated refrigeration/liquefaction system
Advances in artificial intelligence for olfaction and gustation: a comprehensive review
Securing data and preserving privacy in cloud IoT-based technologies an analysis of assessing threats and developing effective safeguard
Workload management: a technology perspective with respect to self-* characteristics
A survey of quaternion neural networks
Human-Computer input and output techniques: an analysis of current research and promising applications
Inductive learning: Algorithms and frontiers
An introduction to case-based reasoning
Topological deep learning: a review of an emerging paradigm
A semantic geo-catalogue for a local administration
Performing word sense disambiguation at the border between unsupervised and knowledge-based techniques
Uncertainty modeling in multi-objective vehicle routing problem under extreme environment
Plant leaf disease detection and classification using convolution neural networks model: a review
Deep learning implementations in mining applications: a compact critical review
Ongoing Research Projects at the Institute for the Learning Sciences
Competence and responsibility in intelligent systems
A Review of the Application of Meta-Heuristic Algorithms to 2D Strip Packing Problems
Problem solving techniques in cognitive science
Advances in Sine Cosine Algorithm: A comprehensive survey
A review of unsupervised feature selection methods
Completion of multiview missing data based on multi-manifold regularised non-negative matrix factorisation
Recent trends in deep learning based personality detection
Automatic detection of heart valve disorders using Teager-Kaiser energy operator, rational-dilation wavelet transform and convolutional neural networks with PCG signals
Application of deep generative networks for SAR/ISAR: a review
PC-IEN: a click-through rate prediction method based on dynamic collaborative personalized interest extraction
A review of artificial fish swarm algorithms: recent advances and applications
A survey on feature selection approaches for clustering
Musical heritage historical entity linking
Incremental K-clique clustering in dynamic social networks
A dual-driven MAGDM method based on single-valued neutrosophic credibility numbers Einstein variable extended power geometric aggregation operator and SPA-MARCOS
Unifying ground and air: a comprehensive review of deep learning-enabled CAVs and UAVs
Graph neural networks: a survey on the links between privacy and security
Features extraction for soccer video semantic analysis: current achievements and remaining issues
Applications, databases and open computer vision research from drone videos and images: a survey
Computer vision based approaches for fish monitoring systems: a comprehensive study
Hybrid marine predators algorithm for image segmentation: analysis and validations
3DDACNN: 3D dense attention convolutional neural network for point cloud based object recognition
The role of the environment in agreement technologies
Self-organizing migrating algorithm: review, improvements and comparison
Reasoning Paradigms in Legal Decision Support Systems
Genetic algorithm for finding minimal cost light-forest of multicast routing on WDM networks
Bandwidth determined transmoding through fuzzy logic in mobile intelligent multimedia presentation systems
Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends
The Explanatory Power of Symbolic Similarity in Case-Based Reasoning
An insight into multimodal databases for social signal processing: acquisition, efforts, and directions
A wavelet-based hybrid neural network for short-term electricity prices forecasting
Architectural space planning using evolutionary computing approaches: a review
Evaluating logic gate constraints in local search for structured satisfiability problems
Deep learning modelling techniques: current progress, applications, advantages, and challenges
Disinformation detection using graph neural networks: a survey
Computational Models for Integrating Linguistic and Visual Information: A Survey
Training Artificial Neural Networks Using Taguchi Methods
Knowledge discovery standards
Color Computer Vision and Artificial Neural Networks for the Detection of Defects in Poultry Eggs
A systematic survey of fuzzy deep learning for uncertain medical data
Transfer learning in agriculture: a review
Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles
A texture feature based approach for person verification using footprint bio-metric
(Ir)rationality in AI: state of the art, research challenges and open questions
A Glimpse of Constraint Satisfaction
Problems in Representing Liquid Tanks with Monotonicity Constraints: A Case Study in Model-Imposed Limitations on the Coverage of Qualitative Simulators
A recent advances on autism spectrum disorders in diagnosing based on machine learning and deep learning
Connectionist representation techniques
Interpretable and explainable machine learning methods for predictive process monitoring: a systematic literature review
Formal concept analysis: current trends and directions
A review of digital twins and their application in cybersecurity based on artificial intelligence
χ-linguistic sets and its application for the linguistic multi-attribute group decision making
A review of alignment based similarity measures for web usage mining
Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation
A survey on neural topic models: methods, applications, and challenges
An effective and efficient broad-based ensemble learning model for moderate-large scale image recognition
Deep learning approach for facial age classification: a survey of the state-of-the-art
Comprehensive review of single image defogging techniques: enhancement, prior, and learning based approaches
A new data hiding method based on chaos embedded genetic algorithm for color image
Emotion and personality analysis and detection using natural language processing, advances, challenges and future scope
Deep learning model inversion attacks and defenses: a comprehensive survey
Cancer diagnosis using artificial intelligence: a review
A review of deep learning methods for digitisation of complex documents and engineering diagrams
A journey of Indian languages over sentiment analysis: a systematic review
Trends in distributed artificial intelligence
Improving ranking-based question answering with weak supervision for low-resource Qur'anic texts
An improved generalized normal distribution optimization and its applications in numerical problems and engineering design problems
Using knowledge partitioning to investigate the psychological plausibility of mixtures of experts
An ideal plastic waste management system based on an enhanced MCDM technique