yusuke1997/dblp-id-title huggingface dataset:
The Effect of Using Augmented Image in the Identification of Human Nail Abnormality using Yolo3
Model for Verifying the Reliability of Candidate Data Based on Blockchain Technology
Arduino Automated Irrigation and Fertigation System with IoT Interface for Tomato Garden
A Fuzzy System based Approach to Extend Network Lifetime for En-Route Filtering Schemes in WSNs
Magnolia Jackfruit Maturity Classification System Using Color Space Analysis
Multi-Label Fake News Detection using Multi-layered Supervised Learning
The Use of Augmented Reality for Encouraging Pro-Environmental Behaviors: The Case of Australia
Decision Intelligence into Synchronization
Survey: Big Data Application in Biomedical Research
Distributed Key Architecture for Blockchain Wallets
Predicting the Early Sign of Diabetes using ID3 as a Data Model
Infrared Temperature Detection Using MLX90614 Sensor for Wearable Applications
Referring Expression Comprehension with Multi-Cross Decoder
Enhancing Low-Resolution Images for FaceNet Facial Recognition Using GFPGAN on Raspberry Pi 5
Reinforcement Learning-Based Parallel Approach Control of Micro-Assembly Manipulators
Fault-Tolerant Broadcast Algorithm for Tree Networks
Real-Time Implementation of Tuning PID Controller Based on Whale Optimization Algorithm for Micro-robotics System
Determination of Leaf Degradation Percentage for Banana leaves with Panama Disease Using Image Segmentation of Color Spaces and OpenCV
Intelligent Intrusion Detection in IoT: Integrating Machine Learning and Feature Automation
An Obstacle Avoidance Method for Sonar-based Robots Avoiding Shape Changeable Obstacles
Speed Control of Vehicles in Platoon Based on Ride Comfort
A Low-Cost Wearable Rehabilitation Device
Noncyclic Scheduling of Multi-cluster Tools with Multi-type Wafers Based on Pareto Optimization
Modeling Life Insurance Business Growth in Thailand using SARIMAX and Multilayer Perceptron
Classifying Solving Behavior by Handwriting on Tablets
Waterway Design and Temperature Field Analysis of Axial Flux Permanent Magnet Motor Based on Fluid-Solid Coupling
A Long-Term Wind Power Prediction using Support Vector Regression and Ensemble Boosted Tree Algorithm (SVR-EBTA)
Simultaneous Localization and Mapping (SLAM) in Swarm Robots for Map-Merging and Uniform Map Generation Using ROS
Design and Implementation of an Improved GEP Algorithm for Synthesis of Reversible Logic Circuits
Cyber Security Incidents on Critical Infrastructure and Industrial Networks
Enhancing Aspect Sentiment Analysis through Local and Global Context Fusion
A Novel Multi-period Multivariate Multi-scale Phase Locking Value and its Application
Local Navigation and Docking of an Autonomous Robot Mower Using Reinforcement Learning and Computer Vision
GA Optimization of Coconut Sugar Cooking Process: A Preliminary Study using Stochastic Universal Sampling (SUS) Technique
Monitoring of Breathing Effort and Oxygen Levels for Identification of Sleep Apnea
Growth of Garlic in Hydroponic System with IoT-Based Monitoring
Large Scale Object Measurement Based on Data Fusion of Stereo Camera's Multi-viewpoint Images
Electromagnetic Design and Taguchi Method Optimization of High-Speed Permanent Magnet Motors for Air Compressors
An IoT-based Water Salinity Monitoring and Time-Dependent Automatic Feeding System for Mud Crab Aquaculture
Optimizing Fruit Yield Prediction: Evaluating Multiobject Tracking Algorithms for Calamansi Fruit Detection Using Yolov8m
Google Tesseract: Optical Character Recognition (OCR) on HDD / SSD Labels Using Machine Vision
Classification of Hand Motions Using Spatial Information in HDEMG Signals with HOG Features
Evolving Knowledge Graphs for Bias Aware Synthetic Persona Representation
Automated Detection of Biases within the Healthcare System Using Clustering and Logistic Regression
Utilizing Binary Segmentation to Enhance Object of Interest Details in Images Synthesized Using Generative Adversarial Networks
Automatic Detection on Appearance Changes using Local Moment Invariants
Patent Portfolio Analysis of IoT-Based Control Systems for Environmental Irrigation Applications
Introducing a Multiple Model for Evaluating User Engagement in Educational Virtual Worlds
A Novel Insulator Detection Method for Aerial Images
Online Finger Motion Recognition with Ultrasound Image of the Forearm
Developing Multi-Factor Authentication and Biometric Verification Protocols for Enhancing Data Security in IoT Healthcare Devices
Enhancing Data Governance through Data-Centric AI: Case Study in New Zealand Government Sector
An Improved Fuzzy Test of Industrial Control System
Appropriate Pulse Signal Driving Frequency for White Lighting LED
SmartVP: Viewpoint Optimization Based on Individual Preference for Watching 3D Boxing Punch Videos
Self-examination Mechanism: Improving Standard Accuracy in Adversarial Purification
Hurricane Damage Detection using Computer Vision
A Computational Investigation on Precision Autism and Metabolic Disorders: Predictive Machine Learning for Hepatic Ailment Classification
Access Control, Biometrics, and the Future
Defect Recognition of Printed Circuit Board Based on YOLOv3-DenseNet Optimization Model
Investigating the Addictive behavior of Internet Surfing through Deep Analysis of Brainwaves
Study on the Identification of Irritability Emotion Based on the Percentage Change in Pupil Size
Applications of Logistic Regression and Naive Bayes in Commodity Sentiment Analysis
Human Activity Role Identification using Feature Vector and Encoding Techniques on Natural Language Sentences
2024 6th International Conference on Image, Video and Signal Processing, IVSP 2024, Ikuta, Japan, March 14-16, 2024
IVSP 2022: 4th International Conference on Image, Video and Signal Processing, Singapore, March 18 - 20, 2022
A Transfer Function Model for Eye Rotation Movement and its Parameter Identification
IVSP 2021: 3rd International Conference on Image, Video and Signal Processing, Singapore, March 19-21, 2021
3D Quantitative Analysis Method of Microvessels Using Mouse Myocardial Tissue Images without Contrast Medium
Research on Airport Visibility Detection under Complex Conditions
A Hierarchical Underwater Acoustic Target Recognition Method Based on Transformer and Transfer Learning
CNN living body recognition model based on rPPG
Alternating Approximation of Weave Diagrams under Heald Frame Constraint
End-to-End Stereo Matching Network with Local Adaptive Awareness
EasyClick: A New Web-based Image Annotation Tool for Person Re-identification Using Deep Learning
Correction of Continuous Speech from Hearing-Impaired Speakers
Regressing Variations of Joint Angles for Continuously Estimating Hand Finger Movements From sEMG Signals Using Recurrent Neural Networks
Estimating Gaze Duration Error from Eye Tracking Data
YOLO-HAMFF: A UAV detection model based on the hybrid attention and multi-level feature fusion for the YOLOv8 model
Discrete Linear Canonical Transform on Graphs: Fast Sampling Set Selection Method
Enhancing Performance of Operationalized Machine Learning Models by Analyzing User Feedback
Electric Power Forecasting Based on Logistic Regression and Gradient Boost Regression Tree
3D Visual Discomfort Prediction Based on Scene Structure and Depth Difference
Difficulty level estimation of mathematics problems using machine learning
CARNet: Context Attention Refine Network for Semantic Segmentation
Empirical study of emotional state recognition using multimodal fusion framework
Automatic classification of multi-attributes from person images using GPT-4 Vision
Random forest algorithm using quartile-pattern bootstrapping for a class imbalanced problem
Drum groove visualization using information distribution maps at LSTM variational autoencoder
A Novel Method for Extracting Frequency Line on Lofargram based on Feature Function
Sentence Sentiment Classification Using Convolutional Neural Network in Myanmar Texts
Face Recognition Based on Shallow Convolutional Neural Network Classifier
Machine Learning Algorithms for Diabetes Diagnosis Prediction
Proposal of the Aesthetic Experience-Oriented Evaluation Framework for Field-recording Sound Retrieval System: Experiments using Acoustic Feature Signatures Based on Multiscale Fractal Dimension
Enhancing Image Matching for 3D Reconstruction via Deep Learning with Key.Net and AdaLAM
CNN-based Criteria for Classifying Artists by Illustration Style
Fractional Active Contour Model for Edge Detector on Medical Image Segmentation
Concept Drift Detection by Tracking Weighted Prediction Confidence of Incremental Learning
Transformer for Hyperspectral Image Classification based on Multi-feature Learning
Improving Adversarial Attacks on Face Recognition Using a Modified Image Translation Model
A YOLOv3-based Deep Learning Application Research for Condition Monitoring of Rail Thermite Welded Joints
Riesz Transform Associated with Linear Canonical Transform: Definition and Its Application in Envelope Detection
A Model-driven Deep Learning Signal Processing Scheme for OFDM System
Visual-Enhanced End-to-End Neural Diarization
Patch-based Monte Carlo Terrain Upsampling via Gaussian Laplacian Pyramids
Proceedings of the 5th International Conference on Image, Video and Signal Processing, IVSP 2023, Singapore, March 24-26, 2023
Study on Learned RGBA Image Compression Using Loss Function Based on Alpha Channel
Optimal Parameter Values for Estimating Rotational Eye Movement by Using Vascular images in the White Part of the Eyeball
Real-Time Human Sitting Position Recognition using Wireless Sensors
Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database
The ELM Model with Residual Compensation Based on ARIMA for North Atlantic Oscillation Index Prediction
Generating Procedural 3D materials from Images using Neural Networks
A Machine Learning Approach for Graduate Admission Prediction
A Fragile Watermarking Algorithm Based on Multiple Watermarking
Exposure-Based contrast enhancement method for low contrast Images using the entropy curve
Circular Template Matching Based on Improved Ring Projection Method
Underwater Fish Tracking Algorithm Based on ViBE Detection and Covariance Matrix
A Multi Task Approach to Improve Face and Body Generation in Pose Transfer
Two-Stage Self-Supervised Learning for Facial Action Unit Recognition
An Improved Low-cost Binocular 3D Reconstruction Algorithm Based on Open AI Platform
Machine Learning Algorithms for Diamond Price Prediction
Meta-Learning based Siamese Network with Channel-wise Self-attention for Visual Tracking
Efficient regulation of emotion by positive music based on EEG valence-arousal model
UI Interactions to Invoke Viewing Experience and Their Effects
Analysing the Compatibility of Identifying Emotions by Facial Expressions and Text Analytics when Using Mobile Devices
Enhancing Digital Social Interaction Using Augmented Reality in Mobile Fitness Applications
Design Friction and Digital Nudging: Impact on the Human Decision-Making Process
Research and Improvement on the Development of Robo-Advisor: Present and Prospect
Enhancing Data Embedding Capacity in Encrypted Images via Adaptive MSB Prediction
Domain-Specific Adaptation for Enhanced Gait Recognition in Practical Scenarios
Automated Hand Hygiene Compliance Monitoring
CS-GAN: Centrosymmetric Generative Adversarial Network for Cross-Media Retrieval
IVSP '20: 2nd International Conference on Image, Video and Signal Processing, Singapore, March 20-22, 2020
Underwater Image Enhancement Using Image Dehazer and Multiscale Retinex
SGAT: Scene Graph Attention Network for Video Recommendation
Calibration fixation points that enable accurate gaze estimation with pupil image capturing camera installed almost next to eye: Calibration fixation points with camera installed almost next to eye
Real-Time Privacy Preserving Human Activity Recognition on Mobile using 1DCNN-BiLSTM Deep Learning
An AR-based DC Circuit Connection Simulator for Beginners
A Method of Sample Consensus Based on Data Geometric Topological Distribution and MCMC
Improved Feature Generating Networks for Zero-Shot Learning
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images
Joint Steganography and Encryption Techniques for Security Enhancement Using Deep Learning Models
AI-Powered MOOCs: Video Lecture Generation
Application of Compressed Sensing Based on Logistic Chaotic Sequence in Acoustic Signal
Edge Voxel Erosion for Noise Removal in 3D Point Clouds Collected by Kinect©
A Study on the Effect of Video Resolution on the Quality of Sound Recovered using the Visual Microphone
Cancer Cytoplasm Segmentation from Cell Image Based on Transfer Learning
Two-stage Attention-based Fusion Neural Network for Image-Text Sentiment Classification
A Hybrid Approach for Counting Templates in Images
A Human Body Part Semantic Segmentation Enabled Parsing for Human Pose Estimation
Robust epileptic seizure prediction with missing values using an improved denoising adversarial autoencoder
Ensemble Learning for Soil Moisture Estimation: A Case Study of the Tibetan Plateau
Reversible Data Hiding in Encrypted Point Clouds Using Virtual Points and Multi-MSB Prediction
GAN technique for reading QR code embedded in 3D printed object
Monitoring Application-driven Continuous Affect Recognition From Video Frames
Fast Image Super-Resolution Based on Multi-Feature Extraction Network
Perceptual Evaluation of Low-light Image Enhancement Algorithms
A Prediction Mode Based on Sub-Block Position Swapping of Predicted Block for Video Coding
Understanding the importance of animation in human-computer interfaces and its relation to user experience
HetSpot: Analyzing Tourist Spot Popularity with Heterogeneous Graph Neural Network
A Novel Excavation of Fortuitous Tourism Resources Candidates by Analyzing Emotional Information
Performance of Domain Adaptation Schemes in Video Action Recognition using Synthetic Data
A Transformer-based Chinese Non-autoregressive Speech Synthesis Scheme
Enhancing the Precision of Smartphone GNSS Positioning Using Machine Learning
An Efficient Real-Time Pitch Correction System via Field-Programmable Gate Array
Deep Learning-Based Real-Time Activity Recognition with Multiple Inertial Sensors
Computer Vision-based Automated Cashew Kernel Grading
Disaster Assessment from Satellite Imagery by Analysing Topographical Features Using Deep Learning
Mass-spring Model for Liquid Object Collision Simulation
Condition Monitoring for Confined Industrial Process Based on Infrared Images by Using Deep Neural Network and Variants
A Novel Under-sampling Method with Gaussian Mixture and Jensen-Shannon Divergence
Multi-scale Haze Removal via Residual Network
Improved BLSTM RNN Based Accent Speech Recognition Using Multi-task Learning and Accent Embeddings
Low-Light Image Enhancement via Transformer-based Network
Determining Exercise Form Correctness in Real Time using Human Pose Estimation
Instructors' Social Presence and Intention of Using a Speaking application with ASR: An extension of the Technology Acceptance Model
Local Ensemble Approach for Meningioma Tumor Firmness Detection in MRI Images
Object-level Hyperspectral Target Detection Based on Spectral-Spatial Features Integrated YOLOv4-Tiny Network
Elliptical4VR: An Interactive Exergame Authoring Tool for Personalized Elliptical Workout Experience in VR
A Tankendo Robot that Defends Itself from Opponent Attacks by Moving Immediately before a Valid Strike or Thrust: A Tankendo Robot Defends from Opponent Attacks
A Lossless Compression Algorithm Based on Differential and Canonical Huffman Encoding for Spaceborne Magnetic Data
Packet Loss Concealment Using Regularized Modified Linear Prediction through Bone-Conducted Speech
No-reference Image Quality Assessment Based on a Multi-feature Extraction Network
Audio Super-resolution Using Feed-Forward Neural Networks
Research into collaborative evolution in hybrid human-robot rescue teams
An End-to-end System for Pests and Diseases Identification
Happy Sweets or Not? The Affective Effect of Different Concentrations of Sweetness
A Dynamic Disparity Range Aggregation Method for Multi-baseline Stereo Matching
A Two-stage Refinement Network for Nuclei Segmentation in Histopathology Images
Fish Species Identification Using a CNN-based Multimodal Learning Method
Mixed Reality Smart Glasses for Local Cultural Learning: A Case Representation of Kavalan Traditional Culture
Ride-hailing Demand Prediction with Machine Learning
ECG Signal Denoising based on 2D-LMS Filter in Fractional Fourier Domain
Performance Analysis of Candidate Waveforms for Next Generation Wireless Communication Systems
A Plane-wave Reuse for the Three-angle Coherent Compound Doppler to Improve the Blood Flow Velocity Measurement
Automatic Segmentation of Pneumothorax in Chest Radiographs Based on Dual-Task Interactive Learning Method
The Perils of the MoB. The Challenges in the Use of Big Data in Causal Investigations
Topic and Sentiment Analysis for Understanding Territorial Identity: A Case Study of the Lower Aosta Valley
Proceedings of the 2nd Workshop "New frontiers in Big Data and Artificial Intelligence" (BDAI 2025), Aosta, Italy, May 29-30, 2025
Land Use Changes in the Alpine Area of Lombardy: A Challenge for AI
Some Recent Results from the Literature on Artificial Intelligence in Higher Education
AI-Driven CAD for Histological Analysis in Mountain Regions: Advancing Local Healthcare and Sustainable Development
Content Analysis of Public Branding Strategies: Uniqueness and Isomorphism in Facebook Posts of Italian Museums
Optimized Deep Neural Network for Attack Detection in Cyber-Physical Systems for Smart Healthcare using Modified Ant Lion Optimization
"Double AI" for Sustainable Tourism: Artificial Intelligence and Alpine Innovation for a Sustainable Future
Data Poisoning and Artificial Intelligence Modeling: Theoretical Foundations and Defensive Strategies
DeepHazard: A Tensorflow/Keras and PyTorch-Compatible Deep Learning Package for Survival Analysis
Analysis of Italian Waste Management Data via Non-Stationary Signal Analysis Methods
Big Data Insights into Mobility and Demographic Change in Alpine Municipalities: The Case of the Metropolitan City of Turin
An AI Implementation for Risk Analysis in Supply Chains 4.0: A Multicriteria Model for Sustainability and Resilience
Monitoring Cryospheric Environment at a Regional Scale: Big Data from Sensor Networks and Experimental AI Applications in the Framework of the Glarisk-cc FESR Project
Conflict Prediction in Public Administration: A Gender-Aware Evaluation Framework
A Two-Phase Optimal Mass Transportation Technique for 3D Brain Tumor Detection and Segmentation
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation
CA-Net: Collaborative Attention Network for Multi-modal Diagnosis of Gliomas
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part II
Knowledge Distillation for Brain Tumor Segmentation
Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets
MS UNet: Multi-scale 3D UNet for Brain Tumor Segmentation
A Multi-path Decoder Network for Brain Tumor Segmentation
Robust Learning Protocol for Federated Tumor Segmentation Challenge
Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI
Brain Tumor Segmentation Based on Attention Mechanism and Multi-model Fusion
Convolutional Neural Network with Asymmetric Encoding and Decoding Structure for Brain Vessel Segmentation on Computed Tomographic Angiography
FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a New Partitioning
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs
Aneurysm Identification in Cerebral Models with Multiview Convolutional Neural Network
From Brain Tissue Infarction at 24 Hours to Patient Functional Outcome at 90 Days Using Deep Learning
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation
Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture
An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation
Glioma Sub-region Segmentation on Multi-parameter MRI with Label Dropout
Holistic Network for Quantifying Uncertainties in Medical Images
BiTr-Unet: A CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
Brain Tumor Segmentation Based on 3D Residual U-Net
Disparity Autoencoders for Multi-class Brain Tumor Segmentation
3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge
Combining CNNs with Transformer for Multimodal 3D MRI Brain Tumor Segmentation
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding
Vox2Vox: 3D-GAN for Brain Tumour Segmentation
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers
An Integrative Analysis of Image Segmentation and Survival of Brain Tumour Patients
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
Automated Brain Tumour Segmentation Using Cascaded 3D Densely-Connected U-Net
nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging
Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context
nnU-Net for Brain Tumor Segmentation
MS-MT: Multi-scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation
Efficient MRI Brain Tumor Segmentation Using Multi-resolution Encoder-Decoder Networks
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma
Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics
EMSViT: Efficient Multi Scale Vision Transformer for Biomedical Image Segmentation
Brain Tumor Classification with Tumor Segmentations and a Dual Path Residual Convolutional Neural Network from MRI and Pathology Images
FedPIDAvg: A PID Controller Inspired Aggregation Method for Federated Learning
Segmenting Brain Tumors in Multi-modal MRI Scans Using a 3D SegNet Architecture
Brain Tumor Segmentation Using Attention Activated U-Net with Positive Mining
An UNet-Based Brain Tumor Segmentation Framework via Optimal Mass Transportation Pre-processing
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
Meta-learning for Medical Image Segmentation Uncertainty Quantification
AttU-NET: Attention U-Net for Brain Tumor Segmentation
Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction
Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images
Detection of Onset Time for Acute Ischemic Stroke Based on Multi-scale Features and Cross-Attention
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I
Multi-branch Learning Framework with Different Receptive Fields Ensemble for Brain Tumor Segmentation
Cerberus: A Multi-headed Network for Brain Tumor Segmentation
Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-ensemble ResUNet
Brain Tumour Segmentation Using Probabilistic U-Net
Label-Efficient Multi-task Segmentation Using Contrastive Learning
TwoPath U-Net for Automatic Brain Tumor Segmentation from Multimodal MRI Data
Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem
Brain Tumor Segmentation Using Non-local Mask R-CNN and Single Model Ensemble
Simple and Fast Convolutional Neural Network Applied to Median Cross Sections for Predicting the Presence of MGMT Promoter Methylation in FLAIR MRI Scans
Brain Tumor Classification with Multimodal MR and Pathology Images
Brain Tumor Segmentation Using 3D Convolutional Neural Network