yusuke1997/dblp-id-title huggingface dataset:
Mining association rules between low-level image features and high-level concepts
Attribute selection using information gain for a fuzzy logic intrusion detection system
Detecting a malicious executable without prior knowledge of its patterns
Integrated mandatory access control for digital data
Intrusion detection: a novel approach that combines boosting genetic fuzzy classifier and data mining techniques
From data to models: synergies of a joint data mining and similarity theory approach
Protein secondary structure prediction using support vector machine with advanced encoding schemes
Data modeling for data mining
Clustering of complex shaped data sets via Kohonen maps and mathematical morphology
Damage assessment of mission essential buildings based on simulation studies of low yield explosives
Learning to change taxonomies
Data mining of text as a tool in authorship attribution
National traffic system evaluation using data mining techniques
Genetic program based data mining of fuzzy decision trees and methods of improving convergence and reducing bloat
An enhanced stream mining approach for network anomaly detection
Development of a model for assessing the impact of information assurance functionality on secure messaging system performance
Unified method of knowledge representation in the evolutionary artificial intelligence systems
Fuzzy feature-based image mining in remote sensing
How ISO/IEC 17799 can be used for base lining information assurance among entities using data mining for defense, homeland security, commercial, and other civilian/commercial domains
Analysis and summarization of correlations in data cubes
Algebraic specification of association rule queries
Dynamic immune intrusion detection system for IPv6
Distributed data mining: an attribute-oriented key-preserving method
Discovery of approximate concepts in clinical databases based on a rough set model
Securing MANETs with BITSI: danger theory and mission continuity
A practical timing attack on RSA over a LAN
An improved clone selection immune algorithm
Mining temporal data sets: hypoplastic left heart syndrome case study
Mining security events in a distributed agent society
Semantic encoding of relational databases in wireless networks
Predictive fuzzy reasoning method for time series stock market data mining
Using closed itemsets in association rule mining with taxonomies
Mining sequential patterns including time intervals
Comparative study of public-domain supervised machine-learning accuracy on the UCI database
A noise-immune cryptographic information protection method for facsimile information transmission and the realization algorithms
Medical data mining
Data-mining-based automated reverse engineering and defect discovery
Data mining in the real world
Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, Orlando, FL, USA, April 21, 2003
Self-organized neural network scheme as a data mining tool
Information tables with neighborhood semantics
XML middleware for scalable web mining
Supporting online learning with games
Context-sensitive keyword selection using text data mining
Extraction and optimization of classification rules for continuous or mixed-mode data using neural nets
Data mining approach to bipolar cognitive map development and decision analysis
Sampling in association rule mining
Comparison of induced rules based on likelihood estimation
Efficient visualization of security events in a large agent society
Knowledge discovery and validation in software metrics databases
Application of a clustering-remote sensing method in analyzing security patterns
Using received signal strength indicator to detect node replacement and replication attacks in wireless sensor networks
Data warehousing with Oracle
Buddy: fusing multiple search results together
Classification method for defect images based on association and clustering
Remote object authentication: confidence model, cryptosystem and protocol
Knowledge reduction algorithms based on rough set and conditional information entropy
Initiative learning algorithm based on rough set
Research on parallel algorithm for sequential pattern mining
Web caching and prefetching: a data mining approach
Extending key sharing: how to generate a key tightly coupled to a network security policy
Discovery of diagnostic knowledge from multisensor data
Data mining on non-homogenous textures
Mining knowledge in medical image databases
Data mining approach using machine-oriented modeling: finding association rules using canonical names
Exploring social relations for the intrusion detection in ad hoc networks
Data mining in metadata repositories
Image sensor for security applications with on-chip data authentication
Scheduling and reasoning of tasks in expert system development tool ESDT-HKD
Mining hospital management data
A Novel Fishing Finder Technique Based on VMS Data in Indonesia
Design of a semi-automatic system that projects UV-C rays for the sterilization of household pantry products
Domain-Specific Vision Transformer Pre-Training with Synthetic Data
iMobilAkou: The Role of Machine Listening to Detect Vehicle using Sound Acoustics
The Importance of Soft Skills for University Students in the 21st Century
Inter Session Communication in a Reactive Web Application for the IoT System
Explaining Time Series Predictions via Relevant Shapelets
Improving Collaborative Filtering Recommender System Results using Optimization Technique
A Study on Applying Decentralized Constraint Optimization to Mobile Sensor Teams with Range Sensors
Key Analysis of Integer Factorizing based Public-Key Cryptosystems Using Machine Learning
Data Mining for Discovering Cognitive Models of Learning
Automatic Recognition and Classification of Granite Tiles Using Convolutional Neural Networks (CNN)
Transitioning from Traditional Learning to Blended Learning at Some Public Universities in Vietnam after the Covid-19 Pandemic
Improving the performance of DeepFace CNN using Canonical Correlation Analysis
A semantic real-time activity recognition system for sequential procedures in vocational learning
A Hybrid Feature Selection Method for Classifying Metagenomic Data in Relation to Inflammatory Bowel Disease
A Negative Similarity Based Hybrid Recommender System Using Apache Spark
AutoMID : A Novel Framework For Automated Computer Aided Diagnosis Of Medical Images
Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design Perspective
Proceedings of the 8th International Conference on Advances in Artificial Intelligence, ICAAI 2024, London, United Kingdom, October 17-19, 2024
Increase the System Utilization by Adaptive Queue Management System with Time Restricted Reservation
Gait Recognition and Phase Detection Using WearableIMUSensorsand Neural Network Algorithms
2022 The 6th International Conference on Advances in Artificial Intelligence, ICAAI 2022, Birmingham, United Kingdom, October 21-23, 2022
ICAAI 2021: The 5th International Conference on Advances in Artificial Intelligence, Virtual Event, United Kingdom, November 20 - 22, 2021
A Lightweight approach to human action recognition based on MotionBERT
An Analysis of Large Language Models and LangChain in Mathematics Education
Addressing Class Imbalance Issues in Haematological Images using Repeat Factor Sampling
Vietnamese Students' Perspectives towards Using Graphic Organizers on Reading Comprehension Skills
A Lightweight Model for Driver Distraction Classification
Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors
A Deep Feedforward Neural Network and Shallow Architectures Effectiveness Comparison: Flight Delays Classification Perspective
Analysis of the Difficulties When Applying Positive Teaching Methods in Credit Training at Public Universities in Vietnam
Content-Based Image Retrieval using Generated Textual Meta-Data
Improved Material Recognition Using Neural Networks
The Application of Machine Learning in Activity Recognition with Healthy Older People Using a Batteryless Wearable Sensor
Dynamic Guarantee Network Model and Risk Spill-over Effect
Uncertainty-Aware Reservoir Permeability Prediction using Gaussian Processes Regression and NMR Measurements
Optimizing Ethanol Production in Escherichia Coli Using a Hybrid of Particle Swarm Optimization and Artificial Bee Colony
Smart Assistant for Blind and Visually Impaired People
Safety Risk Assessment for Children's Products Based on Reinforcement Learning
An interactive system to improve cognitive abilities using electromyographic signals
Exploring the Impact of Activation Functions on Vision Transformer Performance
AdaFed: Performance-based Adaptive Federated Learning
Stochastic Neural Variational Learning of Noisy-OR Bayesian Networks for Images
Dynamic Hover Gesture Classification using Photovoltaic Sensor and Machine Learning
Online Psychological Counseling Chatbot for Seniors
PAPR Reduction Based on Genetic Algorithm for PTS Wavelet-OFDM Systems
Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors
Towards Intelligent Bridge Condition Prediction with SMOTE Resampling Method
Batch Layer Normalization A new normalization layer for CNNs and RNNs
Incremental Learning of Classification models in Deep Learning
Transmission line fault detection using deep learning technique
AI-supported evaluation application for product design assessment regarding automated production
Laughter Classification Using 3D Convolutional Neural Networks
Predictive Model Based on Machine Learning for the Detection of Physically Mistreated Women in the Peruvian Scope
Efficient Iterative Semi-supervised Object Detection Training for Counting of Fruits and Vegetables
Any Angle Path Finding in Stochastic Obstacle Scenes
Applying Exploratory Search for Self-Paced Learning using Tagging
Understanding the relevance of parallelising machine learning algorithms using CUDA for sentiment analysis
An AI Driven Real-time 3-D Representation of an Off-shore WT for Fault Diagnosis and Monitoring
Spatial-temporal Transformers for EEG Emotion Recognition
A Method for Improving Unsupervised Intent Detection using Bi-LSTM CNN Cross Attention Mechanism
CSSSketch2Code: An Automatic Method to Generate Web Pages with CSS Style
GLAF: Global-and-Local Attention Flow Model for Question Answering
Evaluating the Effectiveness of Pre-trained Neural Networks in Automatic Sit-up Counter for Civil Servant Physical Test
The use of Local Binary Pattern (LBP) feature extraction Members of the mud crab genus Scylla
Towards Quantification of Explainability Algorithms
A Hybrid Mel-Frequency Cepstrum Coefficients and Gated Recurrent Units Approach for Voiceprint Recognition
Effectiveness of Security Export Control Ontology for Predicting Answer Type and Regulation Categories
Depthwise Convolutions using Physicochemical Features of DNA for Transcription Factor Binding Site Classification: Physicochemical Features for DNA-Protein Classification with Depthwise Convolutions
A Simple and Effective Sound-based Five-Class Classifier for Induction Motor Overload
A Comprehensive Study on Machine Learning in Breast Cancer Detection and Classification
Proceedings of the 2023 7th International Conference on Advances in Artificial Intelligence, ICAAI 2023, Istanbul, Turkiye, October 13-15, 2023
Monitoring of Residential Drinking Water Service Consumption Using Human Machine Interaction (HCI) Techniques
Learning Symbolic Action Definitions from Unlabelled Image Pairs
Capturing Smoker in Non-Smoking Room
CnnSound: Convolutional Neural Networks for the Classification of Environmental Sounds
Research on Text Location and Recognition in Natural Images with Deep Learning
Anomaly tracing of electricity information collection system based on GAN and BiLSTM
ACU-Net: Adaptive Context Network Based on U-Net for Retinal Vessel Segmentation
Carbon-Fiber-reinforced Polymer as Confinement Reinforcement to Maximize Compressive Strength of Engineered Bamboo: An Artificial Neural Network Model
Metrics of Success: Evaluating User Satisfaction in AI Chatbots
Comparing SVM and GLM in Calculating Insurance Premium for Flight Delay
Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity
A Survey of Quantitative Security Risk Analysis Models for Computer Systems
Anti-Collision System for Accident Prevention in Underground Mines using Computer Vision
Improving the Convergence Speed of Deep Neural Networks with Biased Sampling
Deep Ternary Hashing Code for Palmprint Retrieval and Recognition
Enhancing Anti-Money Laundering Protocols: Employing Machine Learning to Minimise False Positives and Improve Operational Cost Efficiency
Comparative Study on the Performance of Heuristic Optimization Techniques in Robotic Path Planning
Auto-Adaptive Diffusion Model-Based Uniformization of Automotive Camera Sensor Data
Dynamic Visualization of Emotional States Using Natural Language Processing and Graph Algorithms
Comparative analysis of the Light-CNN and FaceNet methods for identifying and maintaining human faces
AI-Based Sign Language Interpreter (GestPret)
From Data to Defense: How Ontology Fuels AI in Cyber Threat Detection
Explainable Chronic Kidney Disease (CKD) Prediction using Deep Learning and Shapley Additive Explanations (SHAP)
Using Multi-Agent Microservices for a Better Dynamic Composition of Semantic Web services
KGMap: Leveraging Enterprise Knowledge Graphs by Bridging between Relational, Social and Linked Web Data
Efficient Fruit and Vegetable Classification and Counting for Retail Applications Using Deep Learning
Enhancing Explainability of Deep Learning-Based ECG Diagnosis Using Large Language Models
Monitoring Trending Topics of Real-World Events on Indonesian Tweets Using Fuzzy C-Means in Lower Dimensional Space
Capitalizing the Predictive Potential of Machine Learning to Detect Various Stratigraphic Units of Lunar Craters Using Multi-Source Lunar Exploration Data
Security Improvement in Mobile Banking Using Hybrid Authentication
Deep Learning-based EEG Detection of Mental Alertness States from Drivers under Ethical Aspects
Multi-Person Speech Curator for Minutes of Meetings along with Meeting Summarization and Language Translation
An Effective Implementation of Detection and Retrieval Property of Episodic Memory
ICAAI 2020: The 4th International Conference on Advances in Artificial Intelligence, London, United Kingdom, October, 2020
Comparison of LSTM, GRU and Hybrid Architectures for usage of Deep Learning on Recommendation Systems
Improving Metrics to Rank the Research Performance
Clustering based Medical Image Segmentation: A Study on MRI Scans of Brain Tumors
Proceedings of the 2nd International Conference on Advances in Artificial Intelligence, ICAAI 2018, Barcelona, Spain, October 06-08, 2018
Generic and scalable multi-layered architecture for Digital Twin implementation in industrial processes: Mineral Processing case study
Capitalizing the Predictive Potential of Machine Learning to Detect Various Fire Types Using NASA's MODIS Satellite Data for the Mediterranean Basin
Bandwidth Usage Forecasting and Network Anomaly Detection Based on Neural Network Approach
A Basic Algorithm of a Target Environment Analyzer
Creating a Proctoring System Using Neural Network in the Educational Process
Investigating Behavioural Diversity via Gaussian Heterogeneous Ant Colony Optimization for Combinatorial Optimization Problems
Detecting Cardiovascular Morbidity using MIMIC-III Database: Assessing Three Data Imbalance Handling Techniques
Are Transformers a Useful Tool for Tiny devices in Human Activity Recognition?
ArDep: An Arabic Lexicon for Detecting Depression
Gated Recirculation Unit (GRU) modelling for the prediction of oxygen consumption during cycling
Application of Artificial Neural Network for Daily Evaporation Forecasting Using Weather Data
Heart Rate Arrhythmia Identification with Internet of Things and Machine Learning
ResNet18 Performance: Impact of Network Depth and Image Resolution on Image Classification
YOLOv5 ship: An improved ship target detection algorithm study
Proxy-based Metric Learning for Emotion Recognition
A Switch-Transformer Predictive Process Monitoring Model for Next Activity Prediction in Business Process Management
The Implementation of Project-based Learning Approach in Technical Courses: An Investigation into Students' Perceptions
Research on Sampling Method of CFSFDP Clustering Algorithm and Its Criteria for Determining the Best Sample Size
The 3rd International Conference on Advances in Artificial Intelligence, ICAAI 2019, Istanbul, Turkey, October 26-28, 2019
Miscellaneous EEG Preprocessing and Machine Learning for Pilots' Mental States Classification: Implications
Automated Class-Imbalanced Learning by Bayesian Optimisation
StarFont: Enabling Font Completion Based on few Shots Examples
Multi Point-of-View Video Recording for Eye Surgery Setting
Machine Learning for the Posture Evaluation of Women Snatch Barbell Trajectory
The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
Enhancing Assurance of AI-enabled Systems through Uncertainty Quantification
An empirical study on the application of KANs for classification
A Study of Cooperation with Privacy Loss Based on Asymmetric Constraint Optimization Problem Among Agents
MixUp based Cross-Consistency Training for Named Entity Recognition
The Current Situation of Senior High School Students Learning Mathematics with Online Problem-Solving Searching Software
Is Synchronous E-learning Implementation in Public Universities a good idea during the pandemic of the COVID-19 in Vietnam?
SpeechSumm: Extractive Insights from Untranscribed Meetings
Predictive Modeling and Simulation to Identify the Prenatal, Natal, and Postnatal Risk Factors of Autism Spectrum Disorder: A Case Study from the Philippines
Multimodal Input Classification for a Companion Pet Robot using Deep Learning
EPIC-NID: Exploring the Power of Class Decomposition and Oversampling in Network Intrusion Detection
On Large-Batch Training of Residual Networks with SignSGD
Food23: A Chinese Food Safety Dataset for Fake News Detection
Filter-Based Information-Theoretic Feature Selection
A Closer Look at Fake News Detection: A Deep Learning Perspective
Explainable AI For Colorectal Lesion Classification Using Deep Learning Models With Attention Mechanism
Design of Deep Learning Experiment Teaching Case based on EMG Signal Analysis
Top-Down Grasping Points Detection in Patterns Designs
A Trusted User Model for Collaborative Multi-Criteria Recommendation using User Review Elements
Evaluation of the Impact of Noise on Biometric Authentication Systems
Attention Mechanisms vs. Frequency filters in Medical Image Segmentation: a Comparative Study
Safe Bayesian optimization with simulation-informed Gaussian process for the constraints
Application of Speech to Text Solutions for Manufacturing Environment with Industry Specific Lexicon
Deep Learning-based Detection of Overlapping Cells
Assurance of AI-enabled systems
Identifying Cyber-Threatening Texts in the Kazakh Segment of Web Resources
Difficulties When Implementing Blended E-learning in Credit Training at Public Universities in Vietnam
Privacy-preserving Bayesian Inference for Sparse Gaussian Processes
Primed UNet-LSTM for Weather Forecasting
Analysis of Multi-Class Sentiment on Indonesian Twitter Using Support Vector Machine Classification Algorithm with Particle Swarm Optimization
Comparing the Behaviour of Human Face Capturing Attention of Autistic & Normal Developing Children Using Eye Tracking Data Analysis Approach
Blockchain Based Security Framework for Internet of Medical Things (IoMT) Applications
Decision System Modelling for "Saboteur" using Heuristics and Means-Ends Analysis
Deep Learning-Based Detection for Traffic Control
10k Logo Dataset for Machine Learning Logo Retrieval Purposes
An Effective Approach for Air Quality Prediction in Bishkek Based on Machine Learning techniques
Modelling Genomics Datasets to Optimize Its Usage Patterns for Efficient Analytics
Sub-Batch Update Mechanism for Component-Wise Natural Gradient Descent
Comparison of Tree-based Feature Selection Algorithms on Biological Omics Dataset
New Sentiment Analysis Model Using LDA for Arabic Tweets
Supervised Link Prediction Developed For Bipartite Social Networks
Improvement of a Video Sequence Singular Image
DF-map: A Novel Variable Resolution Decision Forest Map for Localization
Intelligent Warehousing Based on the Internet of Things Technology
Deep Learning Approaches for Cyber Threat Detection and Mitigation
Combining Domain Knowledge & Machine Learning: Making Predictions using Boosting Techniques
Predicting the Optimal Runtime Limit for Meta AutoML
A Comparative Study of Parkinson Disease Diagnosis in Machine Learning
Cluster-based Cross-Learning on Decomposed Components: A Novel Framework for SKU Sales Forecasting
Extensive Data Exploration for Automatic Price Suggestion Using Item Description: Case Study for the Kaggle Mercari Challenge
Z3DVS : A 3D visualization System for Zhurong Mars Rover Science Operations
Automated Deep Learning-based Biometric Presence Control
Exploration and Practice of Hierarchical Graduation Project under the Background of Science Collaborative Education and Engineering Education Accreditation
Measuring Airport Service Quality Using Machine Learning Algorithms
A systematic review of the efficiency of P300-based digital spellers
Analysis on the Human Development Path of Vocational Education in the Era of Artificial Intelligence
Generating Datasets for Classification Task and Predicting Best Classifiers with Conditional Generative Adversarial Networks
Design for the elderly: the acceptance of smart vests in the senior population
Prediction and Sensitivity Analysis of Shear Strength of Reinforced Concrete Beams with Deformed Hook Steel Fiber using Backpropagation Neural Network coupled with Garson's Algorithm
Endoscopic Image Classification using Vision Transformers
Simulation of Adaptive Control for Cloud Computing as Queueing System
Prospects for the use of algebraic rings to describe the operation of convolutional neural networks
An Ensemble Method with Cost Function on Churn Prediction
Toward a Deep Recommender System for MOOCs Platforms
Probability κ-means Clustering for Neural Network Architecture
Is Online Learning Method Better than Traditional Method in Customer Psychology Course Regarding Academic Results?
A Visual Learning based Robotic Grasping System
Time to Lane Crossing Estimation Using Deep Learning-Based Instance Segmentation Scheme
The Development and Alleviation of Humanistic Artificial Intelligence in the Digital Age Education: A Content Analysis research
Adversarial Learning of Summary Statistics for Approximate Bayesian Computation
Factors Affecting Student Engagement in Online Learning during Covid-19: A Case Study of Students' Perceptions
Efficient and secure keys management for wireless mobile communications
Publish/subscribe scheme for mobile networks
Towards flexible credential verification in mobile ad-hoc networks
Proceedings of the 2002 Workshop on Principles of Mobile Computing, POMC 2002, October 30-31, 2002, Toulouse, France
K-clustering in wireless ad hoc networks
General approaches for implementing seamless handover
On name resolution in peer-to-peer networks
Time bounded medium access control for ad hoc networks
On the accuracy of MANET simulators
An analysis of the node spatial distribution of the random waypoint mobility model for ad hoc networks
Ensuring cache freshness in on-demand ad hoc network routing protocols
On the consistency problem in mobile distributed computing
Circle formation for oblivious anonymous mobile robots with no common sense of orientation
Smart dust protocols for local detection and propagation
Caching web services in mobile ad-hoc networks: opportunities and challenges
Towards Deep Learning in genome-Wide Association Interaction studies
Post-Adoption Behavior of Digital Media: The Merge of U&G Theory and Affect Event Theory
Impact Of Social Media Usage On Organizations
Leveraging Customer Knowledge in Electronic Knowledge Repositories for Service Expertise
The Relationship between IT Investment and Employment: are they Substitutes or complements?
A Conversational & Reflective Approach for Dietary Logging with the Food Pyramid: Chatbot RAINA