yusuke1997/dblp-id-title huggingface dataset:
SPIDER: A Social Computing Inspired Predictive Routing Scheme for Softwarized Vehicular Networks
Robust Multispectral Visual-Inertial Navigation With Visual Odometry Failure Recovery
Estimation of Lane Marker Parameters With High Correlation to Steering Signal
An Approach to Multi-AAV Ship Detection Based on Mobile Edge Computing Scenarios
Intelligent Localization of a High-Speed Train Using LSSVM and the Online Sparse Optimization Approach
SesToCross: Semantic Expert System to Manage Single-Lane Road Crossing
Multi-Area Self-Adaptive Pricing Control in Smart City With EV User Participation
An Efficient Power Allocation Algorithm for Green Reconfigurable Intelligent Surface Assisted Vehicular Network
A Secure, Intelligent Electric Vehicle Ecosystem for Safe Integration With the Smart Grid
Automatic Feature Engineering for Bus Passenger Flow Prediction Based on Modular Convolutional Neural Network
Learning to Recognize Video-Based Spatiotemporal Events
Hierarchical Queries for 3D Lane Detection Based on Multi-Frame Point Clouds
Instance-Aware Monocular 3D Semantic Scene Completion
A Privacy-Preserving-Based Distributed Collaborative Scheme for Connected Autonomous Vehicles at Multi-Lane Signal-Free Intersections
Network Capacity Maximization Using Route Choice and Signal Control With Multiple OD Pairs
Energy-Efficient Cooperative Techniques for Infrastructure-to-Vehicle Communications
Mathematical Modeling of the Human Cognitive System in Two Serial Processing Stages With Its Applications in Adaptive Workload-Management Systems
Lane Change Prediction for Autonomous Driving With Transferred Trajectory Interaction
DVHN: A Deep Hashing Framework for Large-Scale Vehicle Re-Identification
Neural Network Learning Predictive Cooperative Control for Uncertain Heterogeneous Marine Vehicles With Unfavorable Communication Factors
Mobility Tableau: Human Mobility Similarity Measurement for City Dynamics
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation
Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry
Correction Redistribution Mechanism Based on Forward-Reverse Solutions and Real-Time Path Dynamic Adaptive Re-Planning for Multi-AUVs Collaborative Search
Driver Monitoring Using Sparse Representation With Part-Based Temporal Face Descriptors
Non-Intrusive Planning the Roadside Infrastructure for Vehicular Networks
A Human-Like Shared Driving Strategy in Lane-Changing Scenario Using Cooperative LPV/MPC
A Hybrid Strategy for Real-Time Traffic Signal Control of Urban Road Networks
Unraveling the Platoon Dynamics of Connected Automated Vehicles With Information Errors
CSGNet: A LiDAR-Based Lane Detection Network With Cyclic-Shifting Group Convolution
Human-Like Decision Making for Autonomous Driving With Social Skills
Wavelet Integrated CNN With Dynamic Frequency Aggregation for High-Speed Train Wheel Wear Prediction
Dynamic Coordination of Multiple Movable Bridges and Vessels for Time-Efficient Inland Waterway Navigation
Multi-Vehicle Tracking With Road Maps and Car-Following Models
String Stability Analysis of Cooperative Adaptive Cruise Control Vehicles Considering Multi-Anticipation and Communication Delay
Multiobjective Optimization for Vehicle Routing Optimization Problem in Low-Carbon Intelligent Transportation
Takeover Time Prediction for Conditionally Automated Driving Vehicles: Considering Mixed Traffic Flow Environment
Closed-Loop Brain Machine Interface System for In-Vehicle Function Controls Using Head-Up Display and Deep Learning Algorithm
Revisiting the Intrusion Detection in In-Vehicle Networks
Intention-Aware Denoising Diffusion Model for Trajectory Prediction
Adaptive Control Strategies for Urban Network Traffic via a Decentralized Approach With User-Optimal Routing
A Novel Sub-Aperture Contrast-Based WPGA Method for Automotive SAR Imaging
Robust LPV Fault Diagnosis Using the Set-Based Approach for Autonomous Ground Vehicles
Enhancing Timeliness in Asynchronous Vehicle Localization: A Signal-Multiplexing Network Measuring Approach
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
Multi-Scale and Multi-Scope Convolutional Neural Networks for Destination Prediction of Trajectories
Leaf constrained minimal spanning trees solved by modified quantum-behaved particle swarm optimization
Individual variable priority: a model-independent local gradient method for variable importance
Projection generalized correntropy twin support vector regression
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
LiDAR, IMU, and camera fusion for simultaneous localization and mapping: a systematic review
How evolutionary algorithms are applied to statistical natural language processing
Intelligent Data Analysis for Protein Disorder Prediction
A fraction ranking-based multi-criteria decision-making method for water resource management under bipolar neutrosophic fuzzy environment
Unlocking the potential of deep learning in brain stroke prognosis: a systematic literature review
A performance comparison of machine learning classification approaches for robust activity of daily living recognition
Textual case-based reasoning for spam filtering: a comparison of feature-based and feature-free approaches
Exploring the impact of SEO-based ranking factors for voice queries through machine learning
An Intelligent System to Monitor the Chemical Concentration of Electroplating Process: An Integrated OLAP and Fuzzy Logic Approach
Explanation-based Learning: A Knowledge Level Analysis
Advancements in multimodal differential evolution: a comprehensive review and future perspectives
A method for the ethical analysis of brain-inspired AI
Evolution or revolution: the critical need in genetic algorithm based testing
Modular Models of Intelligence - Review, Limitations and Prospects
Connectivity indices of m-polar fuzzy network model, with an application to a product manufacturing problem
Overview of temporal action detection based on deep learning
Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review
Arabic named entity recognition via deep co-learning
An adaptive snow ablation-inspired particle swarm optimization with its application in geometric optimization
Biological computation and computational biology: survey, challenges, and discussion
A brief review of portfolio optimization techniques
Expert finding in community question answering: a review
Major advancements in kernel function approximation
A study of spam filtering using support vector machines
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study
A survey of techniques for inference under uncertainty
A survey of keyword spotting techniques for printed document images
Enhanced bag of visual words representations for content based image retrieval: a comparative study
Dual generalized Bonferroni mean operators based on 2-dimensional uncertain linguistic information and their applications in multi-attribute decision making
New constructions of decision evaluation functions in three-way decision spaces based on uninorms
Novel picture fuzzy power partitioned Hamy mean operators with Dempster-Shafer theory and their applications in MCDM
An Effective Near-Optimal State-Space Search Method: An Application to a Scheduling Problem
Use of learning approaches to predict clinical deterioration in patients based on various variables: a review of the literature
Development and implementation of clinical guidelines: An artificial intelligence perspective
How the internet of things technology improves agricultural efficiency
A chimp-inspired remora optimization algorithm for multilevel thresholding image segmentation using cross entropy
Physics-informed machine learning for advancing computational medical imaging: integrating data-driven approaches with fundamental physical principles
Feature Recognition in Solar Images
A consistency and consensus-driven approach for granulating linguistic information in GDM with distributed linguistic preference relations
Damage location and area measurement of aviation functional surface via neural radiance field and improved Yolov8 network
Securing federated learning with blockchain: a systematic literature review
Dimensional decision covariance colony predation algorithm: global optimization and high-dimensional feature selection
State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
Deep mining the textual gold in relation extraction
Brain structural disorders detection and classification approaches: a review
Fast machine learning for building management systems
Editorial: Hybrid Techniques in AI
Uncertainty measurement of partially labeled categorical data with application to semi-supervised attribute reduction
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Review on chest pathogies detection systems using deep learning techniques
Application of deep learning algorithms in geotechnical engineering: a short critical review
Reinforcement learning and the Metaverse: a symbiotic collaboration
Unsupervised word sense disambiguation with N-gram features
A survey of attack detection approaches in collaborative filtering recommender systems
Recent Studies on Chicken Swarm Optimization algorithm: a review (2014-2018)
Ratai: recurrent autoencoder with imputation units and temporal attention for multivariate time series imputation
Lob-based deep learning models for stock price trend prediction: a benchmark study
Combinations of Modal Logics
Moderately supervised learning: definition, framework and generality
QSAR Modeling of Genotoxicity on Non-congeneric Sets of Organic Compounds
Odia character recognition: a directional review
A survey of grammatical inference methods for natural language learning
Bi-Decomposition of Function Sets in Multiple-Valued Logic for Circuit Design and Data Mining
Systematic review of recent years: machine learning-based interactive therapy for people suffering from dementia
Efficient Prolog: a practical tutorial
Artificial intelligence strategies for simulating the integrated energy systems
AI-aided general clinical diagnoses verified by third-parties with dynamic uncertain causality graph extended to also include classification
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Image synthesis: a review of methods, datasets, evaluation metrics, and future outlook
An SOA-RBFNN approach for the system modelling of optimal energy management in grid-connected smart grid system
Exponential moving average based multiagent reinforcement learning algorithms
Evolutionary Synthesis of Logic Circuits Using Information Theory
Problem formulations and solvers in linear SVM: a review
An interactive multi-agent reasoning model for sentiment analysis: a case for computational semiotics
Connectionist Visualisation of Tonal Structure
Goal-Seeking Behavior in a Connectionist Model
A systematic review and meta-analysis on performance of intelligent systems in lung cancer: Where are we?
A novel ensemble learning-based soft measurement method for rod-pumping system efficiency
Editorial - Artificial Intelligence in Logic Design
Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network
RG-NBEO: a ReliefF guided novel binary equilibrium optimizer with opposition-based S-shaped and V-shaped transfer functions for feature selection
Dynamic uncertain causality graph for computer-aided general clinical diagnoses with nasal obstruction as an illustration
Recent granular computing frameworks for mining relational data
Power aggregation operators based on Aczel-Alsina T-norm and T-conorm for intuitionistic hesitant fuzzy information and their application to logistics service provider selection
Extracting lexical and phrasal paraphrases: a review of the literature
Superstitious Learning and Induction
Editorial: The 16th Artificial Intelligence and Cognitive Science Conference (AICS'05)
Nature inspired optimization algorithms or simply variations of metaheuristics?
A revision-based approach to handling inconsistency in description logics
Abductive reasoning in multiple fault diagnosis
Regret theory based three-way conflict analysis model under q-rung orthopair fuzzy information: studies with parameter and three-way decision-making-based approaches
Escape: an optimization method based on crowd evacuation behaviors
An overview of mixing augmentation methods and augmentation strategies
People versus machines: introducing the HIRE framework
A review and analysis of "graph theoretical-matrix permanent" approach to decision making with example applications
Data clustering: application and trends
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications
Persistent-homology-based machine learning: a survey and a comparative study
Machine learning for smart water distribution systems: exploring applications, challenges and future perspectives
Hadith data mining and classification: a comparative analysis
Finer monocular depth estimation with long range in various driving lighting environments
An intelligent management of power flow in the smart grid system using hybrid NPO-ATLA approach
Environmental sound recognition on embedded devices using deep learning: a review
Correction to: From understanding diseases to drug design: can artificial intelligence bridge the gap?
Optimizing seismic-based reservoir property prediction: a synthetic data-driven approach using convolutional neural networks and transfer learning with real data integration
Sustainability performance assessment of freight transportation modes using an integrated decision-making framework based on m-generalized q-neutrosophic sets
Feature selection methods for text classification: a systematic literature review
A comprehensive review of artificial intelligence models for screening major retinal diseases
Editorial Intelligent Help Systems for UNIX: Planning and Knowledge Representation
On the origin of the evolutionary computation species influences of Darwin's theories on computer science
Evolving team behaviours in environments of varying difficulty
Applicability of LAMDA as classification model in the oil production
Tackling class imbalance in computer vision: a contemporary review
Automatic detection of learning styles: state of the art
Natural language processing: a prolog perspective
A review of adaptive online learning for artificial neural networks
Deep learning models for digital image processing: a review
Scalable multi-modal representation learning networks
Hierarchical classification of data streams: a systematic literature review
Multi-strategy fusion mayfly algorithm on task offloading and scheduling for IoT-based fog computing multi-tasks learning
Intelligent games meeting with multi-agent deep reinforcement learning: a comprehensive review
On the current state of query formulation for book search
Persistence codebooks for topological data analysis
Advances in artificial intelligence and digital twin for tunnel boring machines
Multi-view learning with graph convolution networks adopting diverse graphs and genuine deep feature fusion
Adaptive generalisation
General optimization procedure of the Hedge-algebras controller for controlling dynamic systems
A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks
Combining filtered dictionary representation based deep subspace filter learning with a discriminative classification criterion for facial expression recognition
Automatic Reconstruction of Vasculature
Rights and Argumentation in Open Multi-Agent Systems
Deep learning approaches to scene text detection: a comprehensive review
Application of deep learning in laser-induced breakdown spectroscopy: a review
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction
Advances and challenges in infrared-visible image fusion: a comprehensive review of techniques and applications
Applications of association rule mining in health informatics: a survey
Integration of case-based reasoning and fuzzy approaches for real-time applications in dynamic environments: current status and future directions
Physical laws meet machine intelligence: current developments and future directions
Three-Dimensional Feedforward Neural Networks and Their Realization by Nano-Devices
A survey of feature extraction and fusion of deep learning for detection of abnormalities in video endoscopy of gastrointestinal-tract
A novel hybrid assessment model to evaluate e-services websites of Iranian municipalities
Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector
A survey of virtual sample generation technology for face recognition
Self-organizing fuzzy neural network with adaptive evolution strategy for nonlinear and nonstationary processes
Research on task decomposition and state abstraction in reinforcement learning
Novel variants of grasshopper optimization algorithm to solve numerical problems and demand side management in smart grids
A critical review of artificial intelligence based techniques for automatic prediction of cephalometric landmarks
Text summarisation in progress: a literature review
A survey of semi- and weakly supervised semantic segmentation of images
Performance evaluation of wavelet, ridgelet, curvelet and contourlet transforms based techniques for digital image denoising
On artificial intelligence
Deep multiagent reinforcement learning: challenges and directions
Operational Concepts of Nonmonotonic Logics, Part 1: Default Logic
Niblack's binarization method and its modifications to real-time applications: a review
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Domain adaptation network based on hypergraph regularized denoising autoencoder
A review on human action analysis in videos for retrieval applications
Financial credit risk assessment: a recent review
Distributed SAT
Diversity based cluster weighting in cluster ensemble: an information theory approach
Modular discriminant analysis and its applications
Video summarization using deep learning techniques: a detailed analysis and investigation
A comprehensive systematic literature review on artificial intelligence for error correction and modulation schemes in next-generation satellite communications
Mobility trajectory generation: a survey
A comprehensive study of automatic video summarization techniques
YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series
XML document clustering: techniques and challenges
Developing Knowledge-Based Intelligent Multimedia Tutoring Systems Using Semantic Content-Based Modelling
Emotion quantification techniques for cognitive reappraisal: a systematic review and scientometric analysis
Parameter control and hybridization techniques in differential evolution: a survey
Logics of knowledge and belief - applications
Dynamic YOLO for small underwater object detection
A novel improved whale optimization algorithm to solve numerical optimization and real-world applications
Covering-based intuitionistic fuzzy rough sets and applications in multi-attribute decision-making
Local and global feature selection for multilabel classification with binary relevance - An empirical comparison on flat and hierarchical problems
Learning to learn for few-shot continual active learning
Feature selection for set-valued data based on D-S evidence theory
A survey of emerging patterns for supervised classification
Neuromodulation of internal emergent representations for sequential tasks
AI-driven job scheduling in cloud computing: a comprehensive review
Visible Speech Improves Human Language Understanding: Implications for Speech Processing Systems
Pupil size variation in primary facial expressions-testing potential biomarker of self-criticism
Application of Spreading Activation Techniques in Information Retrieval
Failure mode and effect analysis approach considering risk attitude of dynamic reference point cumulative prospect theory in uncertainty contexts
Metaheuristic optimization algorithms for multi-area economic dispatch of power systems: Part I - a comprehensive survey
UAV target tracking: a survey
Spherical fuzzy decision making method based on combined compromise solution for IIoT industry evaluation
Speech emotion recognition systems and their security aspects
A Tabu-Based Exploratory Evolutionary Algorithm for Multiobjective Optimization
Bio-inspired VANET routing optimization: an overview
Multi-label classification and knowledge extraction from oncology-related content on online social networks
An implicit opinion analysis model based on feature-based implicit opinion patterns
An evaluation of dimension reduction techniques for one-class classification
Interval neutrosophic hesitant fuzzy Einstein Choquet integral operator for multicriteria decision making
Sense induction in folksonomies: a review
Introduction: Thinking with Diagrams
Quantitative Perceptual Representation of Prepositional Semantics
A review on weight initialization strategies for neural networks
An effective multi-modal adaptive contextual feature information fusion method for Chinese long text classification
Development of seven hybrid methods based on collective intelligence for solving nonlinear constrained optimization problems
Rough sets models inspired by supra-topology structures
Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited
Explanation-Based Learning: A survey
Empirical analysis of five nature-inspired algorithms on real parameter optimization problems
Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
From symbolic to sub-symbolic information in question classification
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook
Dynamic rate adaptation
Incremental reduction algorithm with acceleration strategy based on conflict region
Computationally efficient deep learning models for diabetic retinopathy detection: a systematic literature review
Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems
A systematic review of argumentation techniques for multi-agent systems research
New multiparametric similarity measure for neutrosophic set with big data industry evaluation
Deep learning frameworks for MRI-based diagnosis of neurological disorders: a systematic review and meta-analysis
Context in object detection: a systematic literature review
Crayfish optimization algorithm
A review of the literature on fuzzy-logic approaches for collision-free path planning of manipulator robots
Particle swarm optimization-based DRWA for wavelength continuous WDM optical networks using a novel fitness function
On the role of trust in collaborative Web search
PlanMine: Predicting Plan Failures Using Sequence Mining
Intelligence and desire in animals, men and robots
Incremental Bayesian broad learning system and its industrial application
A novel perspective for Q-neutrosophic soft relations and their application in decision making
A survey on feature extraction and learning techniques for link prediction in homogeneous and heterogeneous complex networks
Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions
Mitigating the curse of dimensionality using feature projection techniques on electroencephalography datasets: an empirical review
Machine translation and its evaluation: a study
DptOIE: a Portuguese open information extraction based on dependency analysis
Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants