yusuke1997/dblp-id-title huggingface dataset:
Performance Analysis of 2D Feature Descriptors for Object Classification
Ambiguous Boundary Uncertainty Reduction in Single Stage Detector Models
Advanced Transformer-Based System to Localize and Predict Atopic Dermatitis
A BLEU Perspective on Text Generation: Markov vs. LSTM Models in Storytelling
Enhancing the Video Editing Capabilities of Text-to-Video Generators Using DDPM Inversion
YOLOv8 Based Deep Learning Method for Potholes Detection
Talk to Your Brain: Artificial Personalized Intelligence for Emotionally Adaptive AI Interactions
Efficient Medical Supply Chain Forecasting Using Time Series Analysis
Streamlining Architectural Workflows Using Generative Adversarial Networks
Multi-scale Contrastive Learning for Image Colorization
Optimizing User Recommendations with Variational Autoencoders: Insights from MovieLens-1M and BookCrossing Datasets
Cardiac Diseases detection by multimodal cardiac data classification using CNN-ANN cascaded algorithm
Enhancing Credit Card Fraud Detection: A Comparative Analysis of Anomaly Detection Models
A Writer Adaptation Approach to Online Signature Verification Through Feature Clustering and Classifier Selection
An Efficient and Privacy-Preserving Sensitive Medical Data Sharing Protocol
Marine Debris Detection Model with Custom Dataset Using Instance Segmentation
Autoencoded Image Compression for Secure and Fast Transmission
Intelligent Constellation Generation based on Autoencoder Communication System
Post Flood Damage Assessment Using Aerial Imagery
A Multilingual BERT-Based Framework for Robust Online Hate Speech Detection
Keypoint-Based Detection and Region Growing-Based Localization of Copy-Move Forgery in Digital Images
Infrared and Visible Image Fusion Using Morphological Reconstruction Filters and Refined Toggle-Contrast Edge Features
Lung Disease Classification in Chest X-Rays with Feature Fusion via Stacked Convolutional Denoising Autoencoders
Vacuum Tube-Based Train Waste Collection and Segregation Technique
Direct De Novo Molecule Generation Using Probabilistic Diverse Variational Autoencoder
Longitudinal Volumetric Study for the Progression of Alzheimer's Disease from Structural MRI
Accident Detection & Smart Traffic System using CNN
Fire and Smoke Detection using an Enhanced YOLOv8 Model
Efficient Voluntary Contact-Tracing System and Network for COVID-19 Patients Using Sound Waves and Predictive Analysis Using K-Means
Context Unaware Knowledge Distillation for Image Retrieval
Analysis and Application of Multispectral Data for Water Segmentation Using Machine Learning
Image Captioning with Reinforcement Learning
Cough Sound Analysis for the Evidence of Covid-19
An integrated color and texture feature based mango ripening stage classification from thermal imaging
Domain Adaptation: A Survey
Accounting for Groundtruth Subjectivity in Comparing Face Detection Techniques
Cross-Media Topic Detection: Approaches, Challenges, and Applications
ED-NET: Educational Teaching Video Classification Network
A Multi-Step Fuzzy C-Means Approach for Accurate Data Imputation in Healthcare
Automated Template Based Signature Detection and Extraction from Multilingual Documents
Fusion of Features Extracted from Transfer Learning and Handcrafted Methods to Enhance Skin Cancer Classification Performance
Recent Advancements in Microscopy Image Enhancement using Deep Learning: A Survey
High-Speed HDR Video Reconstruction from Hybrid Intensity Frames and Events
Document Image Binarization in JPEG Compressed Domain Using Dual Discriminator Generative Adversarial Networks
Hybrid Convolutional Neural Networks To Create An Attack Detection Framework For A Wireless Sensor Network Based Health Care Application
Advancing Table Tennis Analytics: A CNN-LSTM Framework for Precision Serve Shot Analysis
Improving Threat Object Recognition for X-Ray Baggage Screening Using Distraction Removal Techniques
Optimizing Identification Time in Fingerprint Recognition Using Cuckoo Filter
A Shape-Based Feature Descriptor for Multi-View Human Activity Recognition
CNN Models Transfer Learning Based Ship Classification for Intelligent Ship Routing
Machine Translation Techniques using AI : A Review
Resolution Invariant Face Recognition
Comparative study of Federated Learning and Machine Learning for Drug Discovery
Development of an Automated Algorithm to Quantify Optic Nerve Diameter Using Ultrasound Measures: Implications for Optic Neuropathies
Region-Specific Adaptive Weighted Multiscale Retinex (RS-AWMSR): A Real-Time Approach to Low-Light Image Enhancement for Sign Language Recognition
Multi-branch Deep Neural Model for Natural Language-Based Vehicle Retrieval
Enhanced Multimodal Biometric Fusion with DWT, LSTM, and Attention Mechanism for Face and Iris Recognition
Enhancing Emotion Classification Through Speech and Correlated Emotional Sounds via a Variational Auto-Encoder Model with Prosodic Regularization
Unleashing Password Potential: VAEs vs GANs in a Password Guessing Duel
AI in Ophthalmic Imaging: Enhancing Retina Analysis for Early Disease Detection
Local DCT-Based Deep Learning Architecture for Image Forgery Detection
Enhancing Patient Care and Monitoring Through AI and IoT in Healthcare
Human Activity Recognition Using CTAL Model
Detection Analysis of Diabetic Retinopathy Using Modified DensNet-121
MultiNet: A Multimodal Approach for Biometric Verification
An evaluation study of non-contact fingerprint presentation attack detection
MOMA introduces the Multi-Object Multi-Actor Framework for Decoding Heterogeneous Activities in Complex Environments
A survey on the modern research on deep learning-based object detection
Near-Infrared Hyperspectral Imaging in Tandem with Machine Learning Techniques to Identify the Near Geographical Origins of Barley Seeds
Multimodal Controller for Generative Models
MangoYOLO5: A Fast and Compact YOLOv5 Model for Mango Detection
Convolutional Neural Network Based Technique for Efficient Waste Classification
Investigation of Feature Importance for Blood Pressure Estimation Using Photoplethysmogram
Symptom Based Medical Department Determination Using BERT
Yoga Pose Rectification Using Mediapipe and Catboost Classifier
Rice Impact Illness Acknowledgment Employing a Profound Convolutional Neural Arrange
Super Resolution in Medical Imaging Time-Series data using Neural Networks
TexAVi: Generating Stereoscopic VR Video Clips from Text Descriptions
SentiNet: Empowering Robust Loan Default Prediction through Ensemble Modeling
Comparative Analysis of YOLO Models for Plant Disease Instance Segmentation
Sclera Vessel Analysis for Biometric System on Real Time Security Application
A Study on Effective Segmentation Network in MRI Images for Diagnosis of Brain Tumor
Evolution of Urban Areas and Land Surface Temperature
Comparative Analysis of Fraud Detection of Credit Card using Supervised and Unsupervised Learning
Exploring the Frontier of Object Detection: A Deep Dive into YOLOv8 and the COCO Dataset
Elevating Fingerprint Matching with a Unified dHash, SIFT, and LSH Model
Enhancing Facial Expression Recognition by Integrating Global Dependencies with Modified Non-Local Convolutional Neural Networks
Spinocerebellar Ataxia Type 12 classification through Structural MRI: Insights from Regional Brain Volume and Cortical Thickness Analysis
Enhancing Large Document Organization Through Effective Preprocessing and Data Embedding
Unlinkability of Biometric Templates Using Hierarchical Deterministic Wallets
Traffic Sign Detection and Classification
APFNet: Attention Pyramidal Fusion Network for Semantic Segmentation
Currency Detection Application for Visually Impaired using CNN
Motion Prior-Based Dual Markov Decision Processes for Multi-airplane Tracking
Weed Detection Using AlexN et in Sesame Crops
GeometricSMOTE-Enhanced Deep Gaussian Mixture Models for Imbalanced Data Classification
Fusion of 3D Convolutional Neural Network and Multifractal Features for High- and Low-grade Glioma Classification using Diffusion Tensor Imaging
Enhancing Traffic Sign Recognition: A Deep Learning Approach for Occluded Environments
Improving Stock Market Forecasting Using Advanced Time Series Analysis Techniques
A Novel Multimodal Framework for Early Detection of Congestive Heart Failure using Ensemble Learning based Fusion Approach
Video Based Steganography for Audio using LSB Approach
Synthesis of Human-Inspired Intelligent Fonts Using Conditional-DCGAN
Role of Deep Learning in Tumor Malignancy Identification and Classification
Accurate extraction of handwritten text line in complex document images
DetSSeg: A Selective On-Field Pomegranate Segmentation Approach
An Innovative Approach to Laparoscopic Organ and Instrument Segmentation using YOLOv8
Dual-intensity Image Fusion using Multi Colour Channel Spaces for Underwater Image Enhancement
Unlocking Interpretability: XAI Strategies for Enhanced Insight in GNN-Based Hyperspectral Image Classification
Elevating Environmental Sound Classification with Stacked Convolutional Neural Networks
Polarity Prediction Using Automatic Semantic Analysis on User Comments
Open Set Masked Face Identification system
Machine Learning for Fault Detection in DC Motors and the Role of Mounting Configurations
Vision-Based People Counting System for Indoor and Outdoor Environments using different Deep Learning Models
Efficient Approximate Vedic Multiplier: Design, Analysis, and Application in Image Blending
Moment Centralization-Based Gradient Descent Optimizers for Convolutional Neural Networks
Code-Mixing and Code-Switching on Social Media Text: A Brief Survey
Glaucoma Classification Using Deep Learning and Image Processing
Advancing Medical Imaging: A Comparative Exploration of Generative Adversarial Networks for Chest X-ray Synthesis
AI-Based Model for Detection and Classification of Alzheimer Disease
Kullback-Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation
MNIST Fashion Classification Using Quantum Convolutional Neural Networks
A Low Cost CNN-Based Method for Differential Diagnosis of Alzheimer's and Frontotemporal Dementia
V2V and V2I Communication Using CAM Protocol in V2X Environments
Extractive Text Summarization Using Statistical Approach
A Comparative Analysis of Traditional Machine Learning, Deep Learning and Boosting Algorithms on Phishing URL Detection
Diagnosis of COVID-19 Using Deep Learning Augmented with Contour Detection on X-rays
Detection of COVID-19 Using Machine Learning
Machine Learning Based Framework for Human Recognition Using Gait Pattern Analysis
A Comparison of Model Confidence Metrics on Visual Manufacturing Quality Data
Scalability in Autoencoder-based OFDM Communication System
Performance Comparison of HC-SR04 Ultrasonic Sensor and TF-Luna LIDAR for Obstacle Detection
StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction
Deepfake detection and classification using local surface geometrical features
Evaluation of Vehicle Fitness Using Convolutional Neural Networks
Water Salinity Assessment Using Remotely Sensed Images - A Comprehensive Survey
Performance Evaluation of Various Histogram Equalization Techniques on Thermal Images
Unmasking VGG16: LIME Visualizations for Brain Tumor Diagnosis
Identifying Occurrences of Abnormal and Drunk Driving Using Smartphones
URL Classification on Extracted Feature Using Deep Learning
Segmentation of Bone Tissue from CT Images
From Disparity to Fairness: Analyzing Challenges and Solutions in AI Systems for Disabled Individuals
Enhancing Early Detection of Pancreatic Cancer: A Machine Learning Approach with Explainable AI Insights
TexIm: A Novel Text-to-Image Encoding Technique Using BERT
An Emerging Fire Detection System based on Convolutional Neural Network and Aerial-Based Forest Fire Identification
Early Detection of Diabetic Retinopathy Using Enhanced Transfer Learning Techniques
Explicabilité en Apprentissage par Renforcement : vers une Taxinomie Unifiée
Extension de la planification HTN aux problèmes temporels
Agrégation de Jugements avec une Fiabilité Variable Inconnue
Fonctions de croyances interprétées sur la logique de Belnap-Dunn
Une sémantique opérationnelle pour les QCHR
Learning Interpretable Behaviour Classifiers for PDDL Planning
Un cadre pour la planification consciente d'un observateur sous observabilité partielle
Generalisation of alpha-beta search for AND-OR graphs with partially ordered values
18èmes Journées d'Intelligence Artificielle Fondamentale et 19èmes Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, JIAF-JFPDA 2024, La Rochelle, France, July 1-3, 2024
Explications de recommandations fondées sur des principes d'équité à l'aide de transferts
Des explications transitives questionnables au service de l'élicitation de préférences additives
16èmes Journées d'Intelligence Artificielle Fondamentale, JIAF 2022, Saint-Étienne, France, June 30 - July 1, 2022
Morpho-logique d'un point de vue de la théorie des topos : application à l'IA symbolique
Explications et caractérisation de décisions équitables
Gestion des supports dans les systèmes d'argumentation incomplets
A more efficient and informed algorithm to check Weak Controllability of Simple Temporal Networks with Uncertainty
Sourcer, dater et mémoriser les informations d'origine verbale - proposition de modèle symbolique et opérationnel de l'interface langage/mémoire
Classes of Explanations for the Verification Problem in Abstract Argumentation
Exploration des sémantiques d'argumentation bipolaire : une analyse basée sur les principes
Décrire et quantifier la contradiction entre des éléments de preuve via la logique de Belnap-Dunn et la théorie de Dempster-Shafer
Une logique pour représenter des variations propositionnelles
Post-Hoc Interpretation of POMDP Policies
Complexité des stratégies maxmin pures dans les jeux sous forme extensive à deux joueurs
Systèmes d'argumentation incomplets avec plausibilité
L'analogie numérique revisitée et étendue, précisée, rétrécie ou agrandie
Sémantique catégorielle de logique de descriptions et raisonnement
Opponent-model search in games with incomplete information
Encodeur hybride pour la détection automatique de désinformation
Proportions analogiques entre probabilités
19èmes Journées d'Intelligence Artificielle Fondamentale et 20èmes Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, JIAF-JFPDA 2025, Dijon, France, July 2-4, 2025
Analysis of planning instances without search
17èmes Journées d'Intelligence Artificielle Fondamentale, JIAF 2023, Strasbourg, France, July 6-7, 2023
A New Evolutive Generator for Graphs with Communities and its Application to Abstract Argumentation
Raisonner sur l'éthique avec un cadre d'argumentation fondé sur une logique modale normale
JIAF-JFPDA 2024 : 18èmes Journées d'Intelligence Artificielle Fondamentale et 19èmes Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, La Rochelle, France, July 1 - July 3, 2024
Sémantiques à base d'extensions pour les systèmes d'argumentation incomplets
Effacement des croyances en logique propositionnelle
Sémantique agrégative graduelle pour les systèmes d'argumentation bipolaires pondérés
Des logiques de variations avec attributs numériques pour représenter des règles d'adaptation
SibylSat : Utiliser SAT comme oracle pour effectuer une recherche gloutonne en planification TOHTN
Les implicants premiers, un outil polyvalent pour l'explication de classification robuste
Compromis entre sécurité et efficacité : Garanties formelles pour les MDP orientés but
Fragment explicable par schémas d'arguments des affectations nécessaires dans un tri non compensatoire
What killed the cat again? Towards a logical formalization of curiosity (and suspense, and surprise) in narratives with an experimental use of LLM for capturing causality
Analogie et moyenne généralisée
Identification de plusieurs fonctions de valeurs additives à partir de préférences exprimées anonymement
Temporalité et causalité en argumentation abstraite
A KC Map for Variants of Nondeterministic PDDL
Sur l'Équité via la Sélection en Séquence pour l'Allocation de Biens Indivisibles
40 ans de recherche en logique possibiliste - Une vue d'ensemble
Appliquer la logique des variations propositionnelles à la représentation de règles d'adaptation pour le raisonnement à partir de cas
Restreindre l'Impact des Arguments Contradictoires dans les Sémantiques Graduées en Argumentation Abstraite
Sémantiques de Satisfaction Collective pour l'Argumentation Basée sur les Opinions
Admissibility in Strength-based Argumentation: Complexity and Algorithms
Apprentissage de domaines HDDL à partir d'observations partielles et bruitées
Modelling a faillibilistic and perspectivistic reasoning
Proportions analogiques et créativité: une étude préliminaire
Premiers pas vers une logique des paires ordonnées
Une sémantique graduelle pour modéliser l'opinion à partir de graphes d'argumentation bipolaires
Processus de décision markoviens éthiques
S&F : Évaluation de la fiabilité des sources et des faits
Opérateurs totalement informatifs et ordres linéaires partitionnés en révision de croyances
Attaques d'Ordre Supérieur et Incomplétude en Argumentation Abstraite
JIAF-JFPDA 2025 : 19èmes Journées d'Intelligence Artificielle Fondamentale et 20èmes Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, Dijon, France, July 2 - July 4, 2025
Accord entre Règles de Vote sous des Distributions de Préférences "Single-Peaked"
Backward explanation via redefinition of predicates
Borda, Annulation et Fusion de Croyances
Equité dans le problème d'allocation répétée de maisons
Différentiation des modalités du Bien : au-delà de l'optimalité de Pareto
Raisonnement Approximatif pour l'Acceptabilité des Arguments en Argumentation Abstraite
Similarity Measures between Order-Sorted Logical Arguments
Optiplan : Encodage CSP pour planification HTN-POCL optimale
Study of the Computational Complexity of the Repair Problem on Simple Temporal Networks with Uncertainty
Revisiter l'équité pour le partage de loyer avec budgets
Théorie des possibilités et modèles numériques linéaires pour l'inférence sur une base de croyances
Combinatorial Games with Incomplete Information
Advanced languages of terms for ontologies
L'abus de comparaisons est mauvais pour la santé
Comment rendre des comportements plus prédictibles
Des explications par étapes pour le modèle additif
Un cadre paraconsistant pour l'évaluation de similarité dans les bases de connaissances
Cadres d'argumentation bipolaire quantitatifs avec incertitude
Quelques réflexions autour de la notion de bêtise artificielle
Electromagnetic Signature Management on the Battlefield: Computational Analysis by Adaptive Network Modelling
Collision Detection Method Based on Improved Whale Optimization Algorithm
Environmental Sound Recognition Based on Multi-scale Parallel Convolutional Network Model
An Assembly Instruction Question Answering System Based on Knowledge Graph
scMGCAE: A Masked Graph Cluster Autoencoder for Single-Cell RNA-Seq Clustering
A Prompt and Contrastive Learning-Based Model for Plant Antimicrobial Peptide Prediction
Analysis of Course Grades in Multivariate Statistical Analysis Based on Linear Regression
RECNN: A Novel Deep Learning Model to Predict 8-state Protein Secondary Structure
Enzyme Turnover Number Prediction Based on Protein 3D Structures
An Improved Seq-Deepfake Detection Method
Multi-scale Texture Network for Industrial Surface Defect Detection
Product Detection in Unmanned Supermarkets Based on Optimized YOLOv8
Research on Automatic Voiceprint Acquisition Method Based on Deep Learning
Underwater Image Enhancement Method Based on Contrast Stretching and Lab Color Space Correction
Restoring Missing Slices of Serial Section Electron Microscopy Using Diffusion Models
STTS: A Novel Span-Based Approach for Topic-Aware Text Segmentation
A Member Inference Attack Defense Method Based on Differential Privacy and Data Enhancement
Prevotella's Genomics Sequence Classification with Artificial Intelligence
Relevant Tag Extraction Based on Image Visual Content
Lévy Flight Chaotic Runge Kutta Optimizer for Stock Price Forecasting
Gradient Descent for Hyperparameter Selection in Least Squares Support Vector Regression
Identification of Parkinson's Disease Associated Genes Through Explicable Deep Learning and Bioinformatic
Applied Intelligence - Second International Conference, ICAI 2024, Zhengzhou, China, November 22-25, 2024, Proceedings, Part II
Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches
Performance Analysis of Image Augmentation Driven by Language Based on Diffusion Models
Research on PM2.5 Concentration Prediction Based on SARIMA-RBF Concatenated Modeling
DeepSensitive: A Fuzzing Test for Deep Neural Networks with Sensitive Neurons
Prediction Intervals of Principal Component Regression with Applications to Molecular Descriptors Datasets
Intelligent Comparison of Bidding Documents Based on Algorithmic Analysis and Visualization
A Survey of Culture Security Through Big Data
A Fuzzy Portfolio Decision Model Based on Credibilistic Mean, Lower-Semi Absolute Deviation and ESG Level
Applied Intelligence - First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part II
Image Denoising Method with Improved Threshold Function
Beibu Gulf Marine Ranch: Utilizing BeiDou Grid Code and Multi-system Integration for Modernized Management and Monitoring
Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach
The Evaluation of Adversarial Attacks Against ML-Powered NIDS in a Realistic Scenario
A Critical Review of Multi Criteria Decision Analysis Method for Decision Making and Prediction in Big Data Healthcare Applications
Classifiers of the Functional State of Living Systems Based on Voigt Model Optimization
TimesNet Model for Multi-industry Electricity Demand Forecasting
The GraphRAG-Driven Automated Analysis Method for Coal Mine Dispatch Room Calls
Bradyrhizobium Elkanii's Genes Classification with SVM
Two-Stage Speech Emotion Recognition Method for Coal Mining Applications
A Broader Study of Spectral Missing in Multi-spectral Vehicle Re-identification
Predicting Transcription Factor Binding Signals Based on a Novel Encoder-Decoder Framework
Proteobacteria Genomics Sequence Identification with Ensemble Classification Model
Minimizing Enzyme Mass to Decompose Flux Distribution in Genome-Scale Metabolic Network for Identifying Active Elementary Flux Modes
IGWO-FNN Based Position Control for Stepper Motor
The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse
Staphylococcus Genomics Sequence Identification with Gradient Boosting Machine
Research on Emotional Interaction in Anthropomorphic AI Systems
Transformer-Based Multi-industry Electricity Demand Forecasting
Integrated Grading and Segmentation for Diabetic Retinopathy: A Perspective from Transfer Learning
RePCMA-YOLOv8n: A Lightweight Traffic Sign Detection Model
Machine Vision-Based Defect Classification Algorithm for Rolled Packages
Single Cell Clustering Based on Multi-view Generation
Applied Intelligence - Second International Conference, ICAI 2024, Zhengzhou, China, November 22-25, 2024, Proceedings, Part I
A New and Efficient IT Knowledge Exchange Platform
Hot Topic Extraction in Microblog Based on Hashtags
Research on Exchange Rate Forecasting Based on LSTM-Transformer Fusion Model
A Survey to Time Series Anomaly Detection in Different Data Structures
EEG Channels Selection Based on BiLSTM and NSGAII
Knowledge Selection Based Motif for Dynamic Community Detection
Improved ConvNeXt Facial Expression Recognition Embedded with Attention Mechanism
Smart Power Safety Hazard Inspection System Based on YOLOv7
T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural Network
Efficient and Accurate Document Parsing and Verification Based on OCR Engine
Class-Based SHAP Analysis for Improved Explainability Insights in NIDS
BERT-KRS: A BERT-Based Model for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots
Enhancing Satellite Image Resolution Using Super Resolution Techniques