yusuke1997/dblp-id-title huggingface dataset:
FESAS IDE: An Integrated Development Environment for Autonomic Computing
Information Valuation for Information Lifecycle Management
Managing User-Centric Adaptive Services for Pervasive Computing
Detecting and Isolating Attacks of Deception in Networked Control Systems
Chisel: Reshaping Queries to Trim Latency in Key-Value Stores
Model-driven performance engineering for wireless sensor networks with feature modeling and event calculus
iPOEM: a GPS tool for integrated management in virtualized data centers
Selective Checkpointing for Minimizing Recovery Efforts of Smartphone Apps
Adaptive Resource Management in the Cloud: The CORT (Cloud Open Resource Trading) Case Study
Policy-Centric Integration and Dynamic Composition of Autonomic Computing Techniques
UBL: unsupervised behavior learning for predicting performance anomalies in virtualized cloud systems
Out-of-band detection of boot-sequence termination events
Morphus: Supporting Online Reconfigurations in Sharded NoSQL Systems
Autonomic Self-Optimization According to Business Objectives
Policy Schedule Advisor for Performance Management
Crystal-growth-inspired algorithms for computational grids
Automating ITSM Incident Management Process
A Run-Time Configurable Software Architecture for Self-Managing Systems
Wide-Area Spark Streaming: Automated Routing and Batch Sizing
Soft-Goal Approximation Context Awareness of Goal-Driven Self-Adaptive Systems
Performance-Based Vertical Memory Elasticity
Autonomic exploration of trade-offs between power and performance in disk drives
Run-time correlation engine for system monitoring and testing
Reliability and Timeliness Analysis of Fault-tolerant Distributed Publish/Subscribe Systems
Big Data Exploration Via Automated Orchestration of Analytic Workflows
Autonomic Management of Dynamically Partially Reconfigurable FPGA Architectures Using Discrete Control
Efficient Decision-Making under Uncertainty for Proactive Self-Adaptation
9th International Conference on Autonomic Computing, ICAC'12, San Jose, CA, USA, September 16 - 20, 2012
Decentralised Autonomic Computing: Analysing Self-Organising Emergent Behaviour using Advanced Numerical Methods
Realizing self-x properties by an automated planner
HiSML: A High-Level Integrated Service Monitoring Language
Exploiting Processor Heterogeneity in Interactive Services
Constructing Execution and Life-Cycle Models for Smart City Services with Self-Aware IoT
AdaptGuard: guarding adaptive systems from instability
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms
Identity Delegation in Policy Based Systems
Unity: Experiences with a Prototype Autonomic Computing System
Improving Reliability and Reducing Overhead in Low-Power Sensor Networks Using Trust and Forgiveness
Cyber-Physical Control of Road Freight Transport
Front Cover (2)
A Symbiotic Cognitive Computing Perspective on Autonomic Computing
TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy
End-to-End Generative Adversarial Network for Palm-Vein Recognition
Modular StoryGAN with Background and Theme Awareness for Story Visualization
Lateral Ego-Vehicle Control Without Supervision Using Point Clouds
A Novel ECG Signal Classification Algorithm Based on Common and Specific Components Separation
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks
Hologram Detection for Identity Document Authentication
A Real-Time License Plate Detection Method Using a Deep Learning Approach
Egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type
Hierarchical Approach for the Classification of Multi-class Skin Lesions Based on Deep Convolutional Neural Networks
Adjustable Visual Appearance for Generalizable Novel View Synthesis
AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking
Flexible Video Matting With Temporally Coherent Trimaps Generation
Automating Stress Detection from Handwritten Documents
Deep Active Learning with Simulated Rationales for Text Classification
Description Attribute-Enhanced Spatio-Temporal Zero-Shot Action Recognition
Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification
ATA: Attentive Text Augmentation for Typo-Robust Language Models
Gate-Fusion Transformer for Multimodal Sentiment Analysis
Parallel 풪(log(n)) Computation of the Adjacency of Connected Components
Manifold-Based Classifier Ensembles
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification
ASRSNet: Automatic Salient Region Selection Network for Few-Shot Fine-Grained Image Classification
Improving UWB Image Reconstruction for Breast Cancer Diagnosis by Doing an Iterative Analysis of Radar Signals
Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet
A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks
Lip-Based Identification Using YOLOR
License Plate Detection and Recognition by Convolutional Neural Networks
A Deep Learning Approach to Detect Ventilatory Over-Assistance
Comparing Artificial Intelligence Algorithms in Computer Vision: The Weapon Detection Benchmark
The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data
Secure Data Transmission of Smart Home Networks Based on Information Hiding
Multi-layer Cross-domain Non-negative Matrix Factorization for Cross-scene Dimension Reduction on Hyperspectral Images
A New Method for Detecting Altered Text in Document Images
A Comprehensive Unconstrained, License Plate Database
The Power of Properties: Uncovering the Influential Factors in Emotion Classification
Improving Semantic Segmentation with Graph-Based Structural Knowledge
A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive Disorder
Adaptive DRL Specular Reflection Removal for Enhanced Polyps Detection
A Survey on Peripheral Blood Smear Analysis Using Deep Learning
Bayesian Gate Mechanism for Multi-task Scale Learning
Single-View, Video-Based Diagnosis of Parkinson's Disease via Margin of Stability Gait Analysis
Robot Path Planning Method Based on Improved Grey Wolf Optimizer
Pattern Recognition and Artificial Intelligence - 4th International Conference, ICPRAI 2024, Jeju Island, South Korea, July 03-06, 2024, Proceedings, Part II
Sit-to-Stand Test for Neurodegenerative Diseases Video Classification
Temporal Disaggregation of the Cumulative Grass Growth
Visual Radial Basis Q-Network
Pattern Recognition and Artificial Intelligence - Third International Conference, ICPRAI 2022, Paris, France, June 1-3, 2022, Proceedings, Part I
Analysis of Multi-class Classification of EEG Signals Using Deep Learning
Single Image Super-Resolution for Medical Image Applications
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
Enhancing Robustness of Over-Parameterized Models via Feature Reweighting Using Logit-Wise Mixup
Application of A * to the Generalized Constrained Longest Common Subsequence Problem with Many Pattern Strings
Post-hoc XAI Method for Visual Question Answering (VQA)
Social Network-Based Academic Recommendation
BEVFormer's Plugin: Integrating Historical Detection Data, BEV-Level Information, Time Information, and Depth Information
Calibration Misalignment as a Post-Hoc Approach for Out-of-Distribution Detection in Deep Neural Networks
Overview of Crowd Counting
YCB-Ev: Event-Vision Dataset for 6 DoF Object Pose Estimation
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols
Generative Adversarial-Synergetic Networks for Anomaly Detection
Application of Deep Learning in Handwritten Mathematical Expressions Recognition
Adaptive Threshold for Anomaly Detection in ATM Radar Data Streams
Affordance Perception by a Knowledge-Guided Vision-Language Model with Efficient Error Correction
CycleGAN-Based Image Translation for Near-Infrared Camera-Trap Image Recognition
Deep Learning for Fast Segmentation of E-waste Devices' Inner Parts in a Recycling Scenario
Feature-Based Explainable Reinforcement Learning in Environments with Multiple Sources of Risk
A Framework for Registration of Multi-modal Spatial Transcriptomics Data
A New Deep Fuzzy Based MSER Model for Multiple Document Images Classification
Improving Drift Detection by Monitoring Shapley Loss Values
Enhancing Output Diversity Improves Conjugate Gradient-Based Adversarial Attacks
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts
Unsupervised Representation Learning via Information Compression
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
Object Detection Based on Sparse Representation of Foreground
Hand-Drawn Object Detection for Scoring Wartegg Zeichen Test
Generative Target Update for Adaptive Siamese Tracking
Language-Aware Non-autoregressive Khmer Textline Recognition
Computation of 2D Discrete Geometric Moments Through Inclusion-Exclusion
Pallet Detection and 3D Pose Estimation via Geometric Cues Learned from Synthetic Data
Clinical Decision Support Systems for Predicting Patients Liable to Acquire Acute Myocardial Infarctions
Prognostic EEG-Biomarkers in Sub-acute Stroke Patients for Upper-Limb Motor Rehabilitation
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
Offline Imitation Learning by Controlling the Effective Planning Horizon
A New Credit Scoring Model Based on Prediction of Signal on Graph
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN
Classification of Criminal News Over Time Using Bidirectional LSTM
A Hybrid Multiple Classifier System Applied in Life Insurance Underwriting
ConDense: Multiple Additional Dense Layers with Fine-Grained Fully-Connected Layer Optimisation for Fingerprint Recognition
Dealing with Incomplete Land-Cover Database Annotations Applied to Satellite Image Time Series Semantic Segmentation
Oracle Character Prototype-Guided Cyclic Disentanglement for Oracle Bone Inscriptions Detection
Rotation-Invariant Face Detection with Multi-task Progressive Calibration Networks
Iris-SAM: Iris Segmentation Using a Foundation Model
Pattern Recognition and Artificial Intelligence - 4th International Conference, ICPRAI 2024, Jeju Island, South Korea, July 03-06, 2024, Proceedings, Part I
Hypercomplex Generative Adversarial Networks for Lightweight Semantic Labeling
Overview of Mathematical Expression Recognition
ConstScene: A Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environment
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks
A New DCT-FFT Fusion Based Method for Caption and Scene Text Classification in Action Video Images
From Synthetic to One-Shot Regression of Camera-Agnostic Human Performances
Image Classification via Multi-branch Position Attention Network
Hierarchical Attention Decoder for Solving Math Word Problems
Inpainting Applied to Facade Images: A Comparison of Algorithms
Identify Deceptive Reviews in Cross-Domain Content with BERT
Generalized Regression with Conditional GANs
Towards a Unified Benchmark for Monocular Radial Distortion Correction and the Importance of Testing on Real-World Data
Overview: Research Progress on Pest and Disease Identification
Enlacement and Interlacement Shape Descriptors
Is On-Line Handwriting Gender-Sensitive? What Tells us a Combination of Statistical and Machine Learning Approaches
Comparative Study of Activation Functions and Their Impact on the YOLOv5 Object Detection Model
Using Convolutional Neural Network to Handle Word Shape Similarities in Handwritten Cursive Arabic Scripts of Pashto Language
An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs
FMM-Head: Enhancing Autoencoder-Based ECG Anomaly Detection with Prior Knowledge
Extracting and Classifying Salient Fields of View from Microscopy Slides of Tuberculosis Bacteria
Robust Detection of Conversational Groups Using a Voting Scheme and a Memory Process
Split and Merge: Component Based Segmentation Network for Text Detection
Spiral Patch Exemplar-Based Inpainting of 3D Colored Meshes
Identifying, Evaluating, and Addressing Nondeterminism in Mask R-CNNs
Metrics for Saliency Map Evaluation of Deep Learning Explanation Methods
Fine-Tuning Pre-trained Model with Prototype Learning for OOD Detection
Abusive Language Detection Using BERT Pre-trained Embedding
Spatio-Temporal Stability Analysis in Satellite Image Times Series
Malware Detection Using Pseudo Semi-Supervised Learning
Extraction of Entities in Health Domain Documents Using Recurrent Neural Networks
Transformed Network Based on Task-Driven
Pattern Recognition and Artificial Intelligence - International Conference, ICPRAI 2020, Zhongshan, China, October 19-23, 2020, Proceedings
Structure-Aware Photorealistic Style Transfer Using Ghost Bottlenecks
Seeking Attention: Using Full Context Transformers for Better Disparity Estimation
QAP Optimisation with Reinforcement Learning for Faster Graph Matching in Sequential Semantic Image Analysis
Self-distilled Self-supervised Depth Estimation in Monocular Videos
Shared Vision Transformer Helps Scene Text Retrieval
GANs Based Conditional Aerial Images Generation for Imbalanced Learning
Facial Beauty Prediction Using Transfer and Multi-task Learning Techniques
Point Clouds with Geometric and Semantic Confidence Intervals
Guiding Random Walks by Effective Resistance for Effective Node Embedding
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Extending 6D Object Pose Estimators for Stereo Vision
Recognition of Cursive Caption Text Using Deep Learning - A Comparative Study on Recognition Units
Deep Reinforcement Learning for Autonomous Navigation in Robotic Wheelchairs
Face Age Progression with Attribute Manipulation
A Blockchain-Based Online Game Design Architecture for Performance Issues
RDMMLND: A New Robust Deep Model for Multiple License Plate Number Detection in Video
A Similarity-Based Training Strategy with Network-Level Perturbation for Semi-supervised Semantic Segmentation
Personalized Frame-Level Facial Expression Recognition in Video
Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics
Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow
Contrastive Language-Entity Pre-training for Richer Knowledge Graph Embedding
An Evaluation of Representational Similarity Analysis for Model Selection and Assessment in Computational Neuroscience
Character Identifying Video Language Alignment Network for Weakly-Supervised Video-Subtitle Moment Retrieval
Pruning Neural Nets by Optimal Neuron Merging
A Novel Deep Learning Approach for Liver MRI Classification and HCC Detection
SwInception - Local Attention Meets Convolutions
DRN: Detection and Removal of Noisy Instances with Self Organizing Map
Detecting Bias in Large Language Models: Fine-Tuned KcBERT
Space-Time Memory Networks for Multi-person Skeleton Body Part Detection
An Application and Integration of Machine Learning Approach on a Real IoT Agricultural Scenario
An Extended Evaluation of the Impact of Different Modules in ST-VQA Systems
Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data
Unsupervised Cell Segmentation in Fluorescence Microscopy Images via Self-supervised Learning
Arbitrary-Shape Text Spotting Based on Global, Pixel and Sequence Semantics
An Integrated Deep Architecture for Lesion Detection in Breast MRI
Pattern Recognition and Artificial Intelligence - Third International Conference, ICPRAI 2022, Paris, France, June 1-3, 2022, Proceedings, Part II
Shop Signboards Detection Using the ShoS Dataset
DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
A Blob Detector Images-Based Method for Counterfeit Coin Detection by Fuzzy Association Rules Mining
Plant Stress Classification with Deep Learning Models Using STFT-Based 2D Representation of 6-Channel 500 kHz Plant Sound
3D Reconstruction of Medical Image Based on Improved Ray Casting Algorithm
Influence of Water Droplet Contamination for Transparency Segmentation
Commodity Classification Based on Multi-modal Jointly Using Image and Text Information
Fusing AutoML Models: A Case Study in Medical Image Classification
Multi Layered Feature Explanation Method for Convolutional Neural Networks
Application of Deep Learning for Online Handwritten Mathematical Expression Recognition: A Review
TIFu: Tri-Directional Implicit Function for High-Fidelity 3D Character Reconstruction
Scene Text Recognition: An Overview
Compositing Foreground and Background Using Variational Autoencoders
Towards Automated Monitoring of Parkinson's Disease Following Drug Treatment
Fourier Domain CT Reconstruction with Complex Valued Neural Networks
Understanding Individual Neurons of ResNet Through Improved Compositional Formulas
Stochastic Pairing for Contrastive Anomaly Detection on Time Series
Dynamic Layer-Wise Token Pruning for Sequence-to-Sequence Transformer Inference
Advanced Data Preprocessing for Detecting Cybercrime in Text-Based Online Interactions
A Novel Post-Hoc Explanation Comparison Metric and Applications
Predicting US Elections with Social Media and Neural Networks
Encoding Sensors' Data into Images to Improve the Activity Recognition in Post Stroke Rehabilitation Assessment
Test-Time Adaptation for EEG-Based Driver Drowsiness Classification
Incorporating Human Views into Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval
Analysing the Impact of Vibrations on Smart Wheelchair Systems and Users
A Sensor-Independent Multimodal Fusion Scheme for Human Activity Recognition
Discriminatory Expressions to Improve Model Comprehensibility in Short Documents
Characterizing the Impact of Using Features Extracted from Pre-trained Models on the Quality of Video Captioning Sequence-to-Sequence Models
Visual Transformer-Based Models: A Survey
Context Preserving Encryption by Latent Reconstruction
Stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead
Augment Small Training Sets Using Matching-Graphs
Differences and Similarities Learning for Unsupervised Feature Selection
Feature Subset Selection for Detecting Fatigue in Runners Using Time Series Sensor Data
A Linguistic Comparison Between Human and ChatGPT-Generated Conversations
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation
Brain-Inspired Parallel Inference Learning for Complex Decision-Making
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information
An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian Representation
Prototype-Guided Contrastive Knowledge Graph Representation Learning for Diagnosis Prediction
Prediction of Subsequent Memory Effects Using Convolutional Neural Network
Visual Microfossil Identification via Deep Metric Learning
A Two Stage Method for Abnormality Diagnosis of Musculoskeletal Radiographs
An Encoder-Decoder Approach to Offline Handwritten Mathematical Expression Recognition with Residual Attention
Remote Sensing Scene Classification Based on Covariance Pooling of Multi-layer CNN Features Guided by Saliency Maps
Computer-Aided Wartegg Drawing Completion Test
Multi-features Integration for Speech Emotion Recognition
Automated Error Detection Through Specialized Task Implementation
Explaining Image Classifications with Near Misses, Near Hits and Prototypes - Supporting Domain Experts in Understanding Decision Boundaries
Unlocking Raw Data: The Power of Micro-Inspection in Handwriting Analysis
Gender Detection from Handwritten Documents Using Concept of Transfer-Learning
A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background
Clustering Time Series Data for Personalized Type 1 Diabetes Management
Handwriting and Hand-Sketched Graphics Detection Using Convolutional Neural Networks
Learning Document Graphs with Attention for Image Manipulation Detection
Application of Rail Segmentation in the Monitoring of Autonomous Train's Frontal Environment
PE-former: Pose Estimation Transformer
Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring
Cloth-Independent Feature Learning from Multi-perspective for Cloth-Changing Person Re-Identification
Handwritten Mathematical Expression Recognition: A Survey
UGQE: Uncertainty Guided Query Expansion
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise
From Pixels to Random Walk Based Segments for Image Time Series Deep Classification
Attention Embedding ResNet for Pest Classification
Controlling the Quality of GAN-Based Generated Images for Predictions Tasks
One-Shot Decoupled Face Reenactment with Vision Transformer
Time Series Anomaly Detection via Reconstruction-Limited Probability Estimation
Image Orientation Detection Using Convolutional Neural Network
On the Feasibility and Generality of Patch-Based Adversarial Attacks on Semantic Segmentation Problems
Comparison of Persian Handwritten Digit Recognition in Three Color Modalities Using Deep Neural Networks
PD-DARTS: Progressive Discretization Differentiable Architecture Search
Modeling the German Legal Latitude Principles
The Great Divide: Empirical Evidence of a Decoupling of Digital Transformation and Sustainability
Electronic Participation, Second IFIP WG 8.5 International Conference, ePart 2010, Lausanne, Switzerland, August 29 - September 2, 2010. Proceedings
Success in eVoting - Success in eDemocracy? The Estonian Paradox
Power and Participation in Digital Late Modernity: Towards a Network Logic
Evaluation of an E-participation Project: Lessons Learned and Success Factors from a Cross-Cultural Perspective
The Socio-Technical Factors That Influence the Use of E-Participation in Rural Uganda
Understanding TwitterTM Use among Parliament Representatives: A Genre Analysis
The Accountability of Intelligence and Law Enforcement Agencies in Information Search Activities
eParticipation Research: A Longitudinal Overview
iLeger: A Web Based Application for Participative Elections
Talking about Public Service Processes
eParticipation Initiatives in Europe: Learning from Practitioners
Elite Capture and Co-optation in Participatory Budgeting in Mexico City
Tensions in Online Communities: The Case of a Mass Size eParticipation Initiative
Theoretical Foundations for the Study of Social Innovation in the Public Sector
Exploring Public Sector's Roles in Collaborative Consumption - A Research Agenda
Citizens' Evaluation of an Online Argument Visualisation Platform for eParticipation
The Case for a Broader Approach to e-Participation Research: Hybridity, Isolation and System Orientation
New Wine in Old Bottles: Chatbots in Government - Exploring the Transformative Impact of Chatbots in Public Service Delivery
A Communication Genre Perspective on e-Petitioning: The Case of the Citizens' Initiative
Modeling for Policy Formulation: Causal Mapping, Scenario Generation, and Decision Evaluation
Opinion Mining and Sentiment Analysis in Policy Formulation Initiatives: The EU-Community Approach
Questão Pública: First Voting Advice Application in Latin America
Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal
Electronic Participation - 16th IFIP WG 8.5 International Conference, ePart 2024, Ghent, Belgium, September 3-5, 2024, Proceedings
Technocracy to Democracy Knowledge Transfer Using Social Media and Reputation Management
A Review of Opinion Mining Methods for Analyzing Citizens' Contributions in Public Policy Debate
A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations
Electronic Participation - 14th IFIP WG 8.5 International Conference, ePart 2022, Linköping, Sweden, September 6-8, 2022, Proceedings
A Decade of eParticipation Research - An Overview of the ePart Conference 2009-2018
Electronic Participation - 13th IFIP WG 8.5 International Conference, ePart 2021, Granada, Spain, September 7-9, 2021, Proceedings