yusuke1997/dblp-id-title huggingface dataset:
A systemic approach to classification for knowledge discovery with applications to the identification of boundary equations in complex systems
Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals collected via wearable devices and smartphones
Aspect-based sentiment analysis: an overview in the use of Arabic language
Optimizing the communication distance of an ad hoc wireless sensor networks by genetic algorithms
Comprehensive review of recent developments in visual object detection based on deep learning
A survey, taxonomy and progress evaluation of three decades of swarm optimisation
Approximate reasoning with aggregation functions satisfying GMP rules
A systematic review of multi-modal large language models on domain-specific applications
An introduction to brain emotional learning inspired models (BELiMs) with an example of BELiMs' applications
DC-Graph: a chunk optimization model based on document classification and graph learning
A comprehensive survey on scheduling algorithms using fuzzy systems in distributed environments
A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions
A taxonomy of literature reviews and experimental study of deepreinforcement learning in portfolio management
A comprehensive assessment of artificial intelligence applications for cancer diagnosis
LT-SMF: long term stock market price trend prediction using optimal hybrid machine learning technique
Visualization of Rhythm, Time and Metre
A survey of real-time surface defect inspection methods based on deep learning
A review of platforms for simulating embodied agents in 3D virtual environments
Dmixnet: a dendritic multi-layered perceptron architecture for image recognition
Detection of Alzheimer's disease using pre-trained deep learning models through transfer learning: a review
An external archive guided Harris Hawks optimization using strengthened dominance relation for multi-objective optimization problems
Unbalanced double hierarchy linguistic group decision-making method based on SWARA and S-ARAS for multiple attribute group decision-making problems
Improving the Kepler optimization algorithm with chaotic maps: comprehensive performance evaluation and engineering applications
Onbeing there: why simulated reality is better than the real thing
PPG-based glucose sensors: a review
Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studies
User modelling for adaptive computer systems: a survey of recent developments
Multi-objective coyote optimization algorithm based on hybrid elite framework and Meta-Lamarckian learning strategy for optimal power flow problem
Dealing with the evaluation of supervised classification algorithms
An improved Henry gas solubility optimization algorithm for task scheduling in cloud computing
Sentiment analysis with deep neural networks: comparative study and performance assessment
An integrated rough ELECTRE II approach for risk evaluation and effects analysis in automatic manufacturing process
Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques
Covering based multigranulation fuzzy rough sets and corresponding applications
Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising
New fuzzy zeroing neural network with noise suppression capability for time-varying linear equation solving
A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers
Intelligent analysis of android application privacy policy and permission consistency
Discovering meaning on the go in large heterogenous data
A Comparative Study of Game Theoretic and Evolutionary Models of Bargaining for Software Agents
Machine learning operations landscape: platforms and tools
On the use of transfer learning in nature-inspired algorithms: a systematic review
The blackboard model: a survey of its application
Collaborative web search: a robustness analysis
A review on machine learning in 3D printing: applications, potential, and challenges
A Neuro-Fuzzy Approach to Identify Lettuce Growth and Greenhouse Climate
A Review of multilayer extreme learning machine neural networks
Kirchhoff's law algorithm (KLA): a novel physics-inspired non-parametric metaheuristic algorithm for optimization problems
Autoencoders and their applications in machine learning: a survey
Multiple criteria decision analytic methods in management with T-spherical fuzzy information
Leveraging synonymy and polysemy to improve semantic similarity assessments based on intrinsic information content
AFOX: a new adaptive nature-inspired optimization algorithm
Capitalization and punctuation restoration: a survey
An advanced similarity measure for Pythagorean fuzzy sets and its applications in transportation problem
Artificial intelligence for literature reviews: opportunities and challenges
Review of brain MRI image segmentation methods
Improving mobile search using content enrichment
Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish
Spatial inference with geometric proportional analogies
Acquiring Customers' Requirements in Electronic Commerce
Sine trigonometric operational laws and its based Pythagorean fuzzy aggregation operators for group decision-making process
SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study
Dombi weighted geometric aggregation operators on the class of trapezoidal-valued intuitionistic fuzzy numbers and their applications to multi-attribute group decision-making
Comprehensive survey on hierarchical clustering algorithms and the recent developments
Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems
Improved artificial bee colony metaheuristic for energy-efficient clustering in wireless sensor networks
Linear projection fused graph-based semi-supervised learning on multi-view data
Continuous versions of firefly algorithm: a review
Federated learning for 6G-enabled secure communication systems: a comprehensive survey
MambaYOLACT: you only look at mamba prediction head for head-neck lymph nodes
Secure video communication using firefly optimization and visual cryptography
A review of spam email detection: analysis of spammer strategies and the dataset shift problem
The SINIX Consultant - Towards a Theoretical Treatment of Plan Recognition
Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011
Swarm intelligence techniques and their applications in fog/edge computing: an in-depth review
A survey on skin detection in colored images
Lexicalization in Natural Language Generation: A Survey
The investigation of neural networks performance in side-channel attacks
Beyond one-shot explanations: a systematic literature review of dialogue-based xAI approaches
Fuzzy controllers for a class of discrete-time nonlinear systems
Weakly supervised discriminate enhancement network for visual sentiment analysis
Fuzzy task assignment in heterogeneous distributed multi-robot system
An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding
A review of deep learning-based stereo vision techniques for phenotype feature and behavioral analysis of fish in aquaculture
Modeling and effect analysis of machining parameters for surface roughness and specific energy consumption during TC18 machining using deep reinforcement learning and neural networks
Machine learning methods for service placement: a systematic review
A review of Artificial Intelligence methods in bladder cancer: segmentation, classification, and detection
A velocity-guided Harris hawks optimizer for function optimization and fault diagnosis of wind turbine
A unified framework for improving the accuracy of all holistic face identification algorithms
Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement
A comprehensive review of Bengali word sense disambiguation
New challenges in reinforcement learning: a survey of security and privacy
A survey on feature selection methods for mixed data
Coverage control in unknown environments using neural networks
Feature selection in image analysis: a survey
Ontologies' mappings validation and annotation enrichment through tagging
Enhancing the diversity of conversational collaborative recommendations: a comparison
Explanation in Case-Based Reasoning-Perspectives and Goals
Finite-state abstractions on Arabic morphology
Hybrid Archimedes optimization algorithm enhanced with mutualism scheme for global optimization problems
Applications, classifications, and challenges: a comprehensive evaluation of recently developed metaheuristics for search and analysis
Cloud-edge-end collaborative caching and UAV-assisted offloading decision based on the fusion of deep reinforcement learning algorithms
Detecting anomalies in sequential data augmented with new features
An integrating genetic algorithm and modified Newton method for tracking control and vibration suppression
Density-based IFCM along with its interval valued and probabilistic extensions, and a review of intuitionistic fuzzy clustering methods
An Inferential Approach to Information Retrieval and Its Implementation Using a Manual Thesaurus
A survey on different dimensions for graphical keyword extraction techniques
Revisiting natural selection: evolving dynamic neural networks using genetic algorithms for complex control tasks
Detection and classification of sugarcane billet damage using Aquila Sailfish Optimizer based deep learning
Reinforcement Learning Agents
Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms
Combining rough decisions for intelligent text mining using Dempster's rule
Locally linear embedding: a survey
Effects of resampling method and adaptation on clustering ensemble efficacy
Resampling strategies for imbalanced regression: a survey and empirical analysis
The number of classes as a source for instability of decision tree algorithms in high dimensional datasets
Machine translation based on unification link grammar
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals
Plan Realization for Complex Command Interaction in the UNIX Help Domain
A quantum mutation-based backtracking search algorithm
Milestones in speaker recognition
Synergistic integration of metaheuristics and machine learning: latest advances and emerging trends
Time-series dynamic three-way group decision-making model and its application in TCM efficacy evaluation
Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models
Time series forecasting through rule-based models obtained via rough sets
A review on big data based on deep neural network approaches
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools
Reinforcement learning architecture for cyber-physical-social AI: state-of-the-art and perspectives
A generalized knowledge representation system for context sensitive reasoning: Generalized HCPRs System
Artificial intelligence and natural magic
Real-time control of ball balancer using neural integrated fuzzy controller
Spatiotemporal clustering: a review
Adaptive multi-criteria decision making for electric vehicles: a hybrid approach based on RANCOM and ESP-SPOTIS
Elk herd optimizer: a novel nature-inspired metaheuristic algorithm
Video super-resolution based on deep learning: a comprehensive survey
Applications of quantum inspired computational intelligence: a survey
A concise review towards a novel target specific multi-source unsupervised transfer learning technique for GDP estimation using CO 2 emission data
Expert system verification and validation: a survey and tutorial
Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Carrier platform-enhanced multiple-UAV cooperative task assignment with dual heterogeneities
Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty
Improved social spider algorithm for large scale optimization
Attribute reduction in an incomplete categorical decision information system based on fuzzy rough sets
On metricity of two heterogeneous measures in the presence of missing values
Strategies for Expressing Concise, Helpful Answers
A v-twin projection SVR with automatic accuracy adjustment
A lexicographic optimisation approach to promote more recent features on longitudinal decision-tree-based classifiers: applications to the English Longitudinal Study of Ageing
Evaluation of artificial intelligent techniques to secure information in enterprises
Approaches to abductive reasoning: an overview
Design pattern detection approaches: a systematic review of the literature
Video description: A comprehensive survey of deep learning approaches
Quantum computing revolution in healthcare: a systematic review of applications, issues and future directions
The design of PID controllers for a Gryphon robot using four evolutionary algorithms: a comparative study
Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges
From ants to whales: metaheuristics for all tastes
Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review
Learning semantic consistency for audio-visual zero-shot learning
Managing computer files via artificial intelligence approaches
Deep learning techniques for rating prediction: a survey of the state-of-the-art
A review of LLMs and their applications in the architecture, engineering and construction industry
Information Foraging with a Proximity-Based Browsing Tool
A novel adaptive memetic binary optimization algorithm for feature selection
Data mining-based firefly algorithm for green vehicle routing problem with heterogeneous fleet and refueling constraint
Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives
Learning patterns in ambient intelligence environments: a survey
A meta-heuristic proposal for inverse kinematics solution of 7-DOF serial robotic manipulator: quantum behaved particle swarm algorithm
Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications
Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development
An efficient propositional system for Abductive Logic Programming
Design and development of counting-based visual question answering model using heuristic-based feature selection with deep learning
Connectionist AI, symbolic AI, and the brain
Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
Federated learning for biometric recognition: a survey
Cell Migration Analysis After In Vitro Wounding Injury with a Multi-Agent Approach
Text categorization: past and present
The trouble with AI
Neural combinatorial optimization with reinforcement learning in industrial engineering: a survey
Pseudo-relevance feedback based query expansion using boosting algorithm
Controllable image synthesis methods, applications and challenges: a comprehensive survey
Textual variations in social media text processing applications: challenges, solutions, and trends
Nonmonotonic reasoning, nonmonotonic logics and reasoning about change
Transformers in health: a systematic review on architectures for longitudinal data analysis
Semantic web reasoners and languages
Cascaded cross-modal transformer for audio-textual classification
Artificial intelligence in chemical exchange saturation transfer magnetic resonance imaging
University admission process: a prescriptive analytics approach
Evolutionary multi objective optimization for rule mining: a review
Mining data streams with concept drifts using genetic algorithm
Image embedding for denoising generative models
Fusion of probabilistic A* algorithm and fuzzy inference system for robotic path planning
Artificial intelligence in four-dimensional imaging for motion management in radiation therapy
A study of the dynamic features of recommender systems
GFSNet: Gaussian Fourier with sparse attention network for visual question answering
An empirical evaluation of kernels for time series
Federated learning attack surface: taxonomy, cyber defences, challenges, and future directions
Assessment and improvement of quality of service in wireless networks using fuzzy and hybrid genetic-fuzzy approaches
Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey
Hierarchical few-shot learning based on coarse- and fine-grained relation network
A review on deep learning for recommender systems: challenges and remedies
Explanation in Recommender Systems
A survey on knowledge-enhanced multimodal learning
Position adaptive residual block and knowledge complement strategy for point cloud analysis
A biologically inspired object-based visual attention model
Intuitionistic fuzzy β-covering-based rough sets
Learning styles assessment and theoretical origin in an E-learning scenario: a survey
New staircase sinusoidal voltage synthesizer and optimal interval type-2 fuzzy controller for dynamic voltage restorer to compensate voltage disturbances
Inclusive prompt engineering for large language models: a modular framework for ethical, structured, and adaptive AI
Applications of deep learning into supply chain management: a systematic literature review and a framework for future research
Representing interlingual meaning in lexical databases
How to sample from a truncated distribution if you must
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
Exploring data mining and machine learning in gynecologic oncology
Neural networks for document image preprocessing: state of the art
A survey on cutting-edge relation extraction techniques based on language models
Research in Multimedia Systems at DFKI
Dictionary learning feature space via sparse representation classification for facial expression recognition
Transformers-based architectures for stroke segmentation: a review
Applying user modeling to human-computer interaction design
Scene analysis and search using local features and support vector machine for effective content-based image retrieval
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Review of few-shot learning application in CSI human sensing
Deep ensemble network based on multi-path fusion
A comprehensive review of tubule formation in histopathology images: advancement in tubule and tumor detection techniques
A Survey of Outlier Detection Methodologies
Large language models in medical and healthcare fields: applications, advances, and challenges
Intelligent strategy for severity scoring of skin diseases based on clinical decision-making thinking with lesion-aware transformer
A survey of imperatives and action representation formalisms
Reusing formalisations of legislation in a tutoring system
A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback
Differential evolution and particle swarm optimization against COVID-19
Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks
Adaptive gaining-sharing knowledge-based variant algorithm with historical probability expansion and its application in escape maneuver decision making
Deep neural network techniques for monaural speech enhancement and separation: state of the art analysis
A systematic review of computer vision-based personal protective equipment compliance in industry practice: advancements, challenges and future directions
Structured population genetic algorithms: a literature survey
Erratum to: An insight into multimodal databases for social signal processing: acquisition, efforts, and directions
Integrating Vision, Motion and Language through Mind
Matrix-based fast granularity reduction algorithm of multi-granulation rough set
Fuzzy C-mean based brain MRI segmentation algorithms
Expert systems for database design: A comparative review
Generative Adversarial Networks based on optimal transport: a survey
Artificial intelligence powered Metaverse: analysis, challenges and future perspectives
A survey on Urdu and Urdu like language stemmers and stemming techniques
Automatic ontology construction from text: a review from shallow to deep learning trend
Leveraging generative AI synthetic and social media data for content generalizability to overcome data constraints in vision deep learning
A review of evaluation approaches for explainable AI with applications in cardiology
Transparallel mind: classical computing with quantum power
Context-based global multi-class semantic image segmentation by wireless multimedia sensor networks
Multi-focus image fusion techniques: a survey
Application of machine learning in early warning system of geotechnical disaster: a systematic and comprehensive review
Rethinking and recomputing the value of machine learning models
Spider wasp optimizer: a novel meta-heuristic optimization algorithm
A systematic mapping study for ensemble classification methods in cardiovascular disease
P2P case storage and retrieval with an unspecified ontology
Cost-sensitive learning for imbalanced medical data: a review
Adversarial example detection for DNN models: a review and experimental comparison
A survey on deep reinforcement learning for audio-based applications
Forecasting models for prediction in time series
Metaheuristic-based adaptive curriculum sequencing approaches: a systematic review and mapping of the literature
An optimization algorithm inspired by musical composition
From the human visual system to the computational models of visual attention: a survey
ESOA-HGRU: egret swarm optimization algorithm-based hybrid gated recurrent unit for classification of diabetic retinopathy
Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions
Prediction of the creeping of AFC based on fuzzy reasoning and Bi-LSTM fusion iteration
A Survey on Case-Based Planning
The Sensitive Interface
Artificial intelligence-based optimization techniques for optimal reactive power dispatch problem: a contemporary survey, experiments, and analysis
An introduction to learning
Merging of axiomatic definitions of concepts in the complex OWL ontologies
AI and computer-based methods in performance evaluation of sporting feats: an overview
A review on document image analysis techniques directly in the compressed domain
DF-SVM: a decision forest constructed on artificially enlarged feature space by support vector machine
A context and sequence-based recommendation framework using GRU networks
Content moderation by LLM: from accuracy to legitimacy
The evolution of donators in a common-pool resource problem
Temporal Properties of Repetitive Entities
A differential memetic algorithm
A review of predictive uncertainty estimation with machine learning
An overview of violence detection techniques: current challenges and future directions
Multimodal vision-based human action recognition using deep learning: a review
What Do You Know about Mail? Knowledge Representation in the SINIX Consultant
Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice
Soft voting ensemble classifier for liquefaction prediction based on SPT data
Singapore's great leap: information technology in context
A survey of swarm and evolutionary computing approaches for deep learning
Probabilistic data fusion on a large document collection
Monitoring web services' quality of service: a literature review