yusuke1997/dblp-id-title huggingface dataset:
Caching Suggestions Using Reinforcement Learning
Unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means Clustering
A Bayesian Network Profiler for Wildfire Arsonists
Network Alignment Using Graphlet Signature and High Order Proximity
A Matrix Factorization-Based Drug-Virus Link Prediction Method for SARS-CoV-2 Drug Prioritization
Diversity in Deep Generative Models and Generative AI
Random Forest Parameterization for Earthquake Catalog Generation
An Efficient Numerical Approximation for the Monge-Kantorovich Mass Transfer Problem
Convergence Rate Evaluation of Derivative-Free Optimization Techniques
Explainable AI for Financial Forecasting
Relational Bayesian Model Averaging for Sentiment Analysis in Social Networks
Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text
Machine Learning: Multi-site Evidence-Based Best Practice Discovery
Finding Smooth Graphs with Small Independence Numbers
Multivariate LSTM for Stock Market Volatility Prediction
A Deep Learning Based Fault Detection Method for Rocket Launcher Electrical System
A New Approach to Measuring Distances in Dense Graphs
Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization
Analyses of Multi-collection Corpora via Compound Topic Modeling
Hierarchical Representation and Graph Convolutional Networks for the Prediction of Protein-Protein Interaction Sites
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A
Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time
Investigating the Compositional Structure of Deep Neural Networks
What Song Am I Thinking Of?
Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning
Augmented Human-AI Forecasting for Ship Refit Project Scheduling: A Predict-then-Optimize Approach
Game Theoretical Tools for Wing Design
Toward a New Approach for Tuning Regularization Hyperparameter in NMF
Robust and Sparse Support Vector Machines via Mixed Integer Programming
Deep Learning Detection of GPS Spoofing
Injective Domain Knowledge in Neural Networks for Transprecision Computing
Emotional Reactions To AI-Generated Images: A Pilot Study Using Neurophysiological Measures
Lookahead Policy and Genetic Algorithm for Solving Nurse Rostering Problems
Driver Distraction Detection Using Deep Neural Network
Consensus Decision Making in Random Forests
Few-Shot Learning for Character Recognition in Persian Historical Documents
Parallelized Preconditioned Model Building Algorithm for Matrix Factorization
Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting
Unit Propagation by Means of Coordinate-Wise Minimization
Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas
Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach
Generative Reward Machine for Reinforcement Learning for Physical Internet Distribution Centre
Big Data Privacy by Design Computation Platform
Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion
Data-Driven Machine Learning Approach for Predicting Missing Values in Large Data Sets: A Comparison Study
Learning Controllers for Adaptive Spreading of Carbon Fiber Tows
Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains
A Data-Driven Monitoring Approach for Diagnosing Quality Degradation in a Glass Container Process
Condense Mixed Convexity and Optimization with an Application in Data Service Optimization
Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation
Data Anonymization for Privacy Aware Machine Learning
Efficient Text Processing via Context Triggered Piecewise Hashing Algorithm for Spam Detection
A Double-Dictionary Approach Learns Component Means and Variances for V1 Encoding
Individual Fairness in Generative Text Models
The Role of Animal Spirit in Monitoring Location Shifts with SVM: Novelties Versus Outliers
Flow Control: Local Spectral Radius Regulation
Explainable AI as a Social Microscope: A Case Study on Academic Performance
An Information Analysis Approach into Feature Understanding of Convolutional Deep Neural Networks
Preconditioned Gradient Method for Data Approximation with Shallow Neural Networks
Crawling in Rogue's Dungeons with (Partitioned) A3C
Petersen Graph is Uniformly Most-Reliable
Big Data Analytics in a Public General Hospital
BRKGA-VNS for Parallel-Batching Scheduling on a Single Machine with Step-Deteriorating Jobs and Release Times
Vegvisir: Probabilistic Model (VAE) for Viral T-Cell Epitope Prediction
Strong Duality of the Kantorovich-Rubinstein Mass Transshipment Problem in Metric Spaces
Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation
Using Embeddings of Pre-trained Models for Cross-Database Dysarthria Detection: Supervised vs. Self-supervised Approach
Flexible Job-Shop Scheduling with Changeover Priorities
Multiscale Integration for Pattern Recognition in Neuroimaging
Convolutional Neural Network for Classification of Aerial Survey Images in the Recognition System
A Framework to Automatically Extract Funding Information from Text
Improved Update Rule and Sampling of Stochastic Gradient Descent with Extreme Early Stopping for Support Vector Machines
GPU Accelerated Data Preparation for Limit Order Book Modeling
A Variational Algorithm for Quantum Single Layer Perceptron
Economic Lot-Sizing Problem with Remanufacturing Option: Complexity and Algorithms
Hermes: A Distributed-Messaging Tool for NLP
Bayesian Clustering of Multivariate Immunological Data
Fuzzy Decision-Making of a Process for Quality Management
A Comparative Study on Term Weighting Schemes for Text Classification
Combining EEG Oscillation Analysis and Explainable Artificial Intelligence for Characterizing Visuospatial Attention
Multi-objective Modeling of Ground Deformation and Gravity Changes of Volcanic Eruptions
Machine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Volterra, Italy, September 14-17, 2017, Revised Selected Papers
Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis
Learn to Create Neighborhoods in Real-World Vehicle Routing Problem
Integrating Logit Space Embeddings for Reliable Out-of-Distribution Detection
Reinforcement Learning Methods for Operations Research Applications: The Order Release Problem
A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry
A Single-Facility Manifold Location Routing Problem with an Application to Supply Chain Management and Robotics
Challenges in Real-Life Face Recognition with Heavy Makeup and Occlusions Using Deep Learning Algorithms
Characterization of the \#k # k -SAT Problem in Terms of Connected Components
Confidence as Part of Searcher's Cognitive Context
Implicit Location Sharing Detection in Social Media Turkish Text Messaging
Transformers for COVID-19 Misinformation Detection on Twitter: A South African Case Study
Revisiting Clustering as Matrix Factorisation on the Stiefel Manifold
The Intellectual Structure of Business Analytics: 2002-2019
Parallel Bayesian Optimization of Agent-Based Transportation Simulation
Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search
A New Baseline for Automated Hyper-Parameter Optimization
Approximating Probabilistic Constraints for Surgery Scheduling Using Neural Networks
Global Convergence of Sobolev Training for Overparameterized Neural Networks
Multimodal Shannon Game with Images
Generating Term Weighting Schemes Through Genetic Programming
A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages
The Sea Exploration Problem Revisited
Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast
Exploring Emergent Properties of Recurrent Neural Networks Using a Novel Energy Function Formalism
An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning
ViT - Inception - GAN for Image Colourisation
Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG
A Beam Search for the Longest Common Subsequence Problem Guided by a Novel Approximate Expected Length Calculation
Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction
Conditional Anomaly Detection for Quality and Productivity Improvement of Electronics Manufacturing Systems
ABC in Root Cause Analysis: Discovering Missing Information and Repairing System Failures
Target-Aware Prediction of Tool Usage in Sequential Repair Tasks
A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing
Predictable Features Elimination: An Unsupervised Approach to Feature Selection
Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region
Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining
Biologically Inspired Unified Artificial Immune System for Industrial Equipment Diagnostic
The Optimized Social Distance Lab - A Methodology for Automated Building Layout Redesign for Social Distancing
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency
A Fast Genetic Algorithm for the Max Cut-Clique Problem
Exploiting Similar Behavior of Users in a Cooperative Optimization Approach for Distributing Service Points in Mobility Applications
Learning Objective Boundaries for Constraint Optimization Problems
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python
On Probabilistic k-Richness of the k-Means Algorithms
Zero-Shot Learning-Based Detection of Electric Insulators in the Wild
Methods of Machine Learning for Censored Demand Prediction
Machine Learning, Optimization, and Big Data - First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers
The Learnability of Business Rules
Image Features Anonymization for Privacy Aware Machine Learning
Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications
Generating Vascular Networks: A Reinforcement Learning Approach
Decision-Making over Compact Preference Structures
Inference of Abstraction for Human-Like Probabilistic Reasoning
Prediction of Spot Prices in Nord Pool's Day-Ahead Market Using Machine Learning and Deep Learning
An Adaptive Parameter Free Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem
The Label Recorder Method - Testing the Memorization Capacity of Machine Learning Models
Effect of Geometric Complexity on Intuitive Model Selection
Estimating Dynamics of Honeybee Population Densities with Machine Learning Algorithms
Design of Acoustic Metamaterials Through Nonlinear Programming
Alternating Direction Method of Multipliers for Regularized Multiclass Support Vector Machines
Automatic Curriculum Recommendation for Employees
Helping the Oracle: Vector Sign Constraints for Model Shrinkage Methodologies
Solving Continuous Optimization Problems with a New Hyperheuristic Framework
On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis
A Hybrid Surrogate-Assisted Accelerated Random Search and Trust Region Approach for Constrained Black-Box Optimization
Processing Online SAT Instances with Waiting Time Constraints and Completion Weights
Nearest Neighbors Counterfactuals
A Constraint-Based Savings Algorithm for the Traveling Salesman Problem
Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations
Dynamic Selection of Classifiers Applied to High-Dimensional Small-Instance Data Sets: Problems and Challenges
Deep Gaussian Mixture Model for Unsupervised Image Segmentation
Deep Learning for Classification of Dental Plaque Images
Decision of Neural Networks Hyperparameters with a Population-Based Algorithm
To What Extent Can Text Classification Help with Making Inferences About Students' Understanding
Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations
A Compact Convolutional Neural Network for Decoding EEG Functional Connectivity: Application to Motor Imagery
Generalising via Meta-examples for Continual Learning in the Wild
Semi-Naive Mixture Model for Consensus Clustering
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading
Combinatorial Learning in Traffic Management
Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series
Privacy Preserving Deep Learning Framework in Fog Computing
Bayesian Optimization with Local Search
A Parallel Consensus Clustering Algorithm
Identifying Potential Key Point-of-Sale Customers Using Network Centrality
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches
A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach
Joining Emission Data from Diverse Economic Activity Taxonomies with Evolution Strategies
Detection of Age-Related Changes in Networks of B Cells by Multivariate Time-Series Analysis
PROS-C: Accelerating Random Orthogonal Search for Global Optimization Using Crossover
ℓ 1 Regularized Robust and Sparse Linear Modeling Using Discrete Optimization
A Stochastic Optimization Model for Frequency Control and Energy Management in a Microgrid
Fully Automatic Meningioma Segmentation with nnUNet Using T1-Weighted Contrast-Enhanced MR Images by Leveraging Publicly Available Data and Different Types of Annotations
Local Optimisation of Nyström Samples Through Stochastic Gradient Descent
Detection of Morality in Tweets Based on the Moral Foundation Theory
User Preferences in Bayesian Multi-objective Optimization: The Expected Weighted Hypervolume Improvement Criterion
The Measure of Regular Relations Recognition Applied to the Supervised Classification Task
Hicks Traverse Meets O-F SVM: Belief Incoherence Attractors
Optimal Broadcast Strategy in Homogeneous Point-to-Point Networks
Identifying Key miRNA-mRNA Regulatory Modules in Cancer Using Sparse Multivariate Factor Regression
Dolphin Pod Optimization - A Nature-Inspired Deterministic Algorithm for Simulation-Based Design
MicroRacer: A Didactic Environment for Deep Reinforcement Learning
CoPASample: A Heuristics Based Covariance Preserving Data Augmentation
Utilizing Predictive Models to Identify the Influence of Full Prior Distribution in Hypothesis Testing Problems
Metabolic Circuit Design Automation by Multi-objective BioCAD
A New Nash-Probit Model for Binary Classification
Sparse Feature Extraction Model with Independent Subspace Analysis
Automatic Generation of Sitemaps Based on Navigation Systems
An Error-Based Addressing Architecture for Dynamic Model Learning
Large-Scale Bandit Recommender System
Treating Artificial Neural Net Training as a Nonsmooth Global Optimization Problem
Food and Agricultural Imaging Systems 2021, online, January 11-28, 2021
Recognition of manual forest work for time on task recording
FAIS Conference Overview and Papers Program
Analysis of Reflected Metamer Light Effect on Cheese Palatability
Knowledge distillation from multispectral Images for fish freshness estimation
Assessing the Use of Smartphones to Determine Crop Ripeness
Cattle Identification and Activity Recognition by Surveillance Camera
Food and Agricultural Imaging Systems 2020, Burlingame, CA, USA, January 26-30, 2020
Deep Learning based Fruit Freshness Classification and Detection with CMOS Image sensors and Edge processors
Fish Freshness Estimation though analysis of Multispectral Images with Convolutional Neural Networks
Constructing Place Representations from Human-Generated Descriptions in Hebrew
Trajectory-Based Presentation of Heterogeneous Spatio-temporal Content
A Heterogeneous Information Attentive Network for the Identification of Tourist Attraction Competitors
Web and Wireless Geographical Information Systems - 10th International Symposium, W2GIS 2011, Kyoto, Japan, March 3-4, 2011. Proceedings
Towards a Modelling and Optimisation of the Recovery of Marine Floating Plastic
Extraction and Geographical Navigation of Important Historical Events in the Web
Investigating the Navigational Behavior of Wheelchair Users in Urban Environments Using Eye Movement Data
Towards OGC API - Features Centric GIS Applications Controlled by Object Relational Mapping
Remote-Evaluation of User Interaction with WebGIS
ForestMaps: A Computational Model and Visualization for Forest Utilization
Web and Wireless Geographical Information Systems, 4th InternationalWorkshop, W2GIS 2004, Goyang, Korea, November 2004, Revised Selected Papers
An Iterative Two-Step Approach to Area Delineation
Spatial Factors Affecting User's Perception in Map Simplification: An Empirical Analysis
Comparison of Indoor Positioning Methods Based on AR Visual and WiFi Fingerprinting Method
A Spatial Interaction Model for the Identification of Urban Functional Regions
OGC Web Processing Service Interface for Web Service Orchestration Aggregating Geo-processing Services in a Bomb Threat Scenario
Heuristic Evaluation of Usability of GeoWeb Sites
Towards the Next Generation of Location-Based Services
Database and Representation Issues in Geographic Information Systems (GIS)
CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk
GeminiMap - Geographical Enhanced Map Interface for Navigation on the Internet
Improving Sensing Coverage of Probe Vehicles with Probabilistic Routing
The Effect of Resident-Perceived Neighborhood Boundary on the Equity of Public Parks Distribution: Using GIS
A New Approach for Accessibility Assessment of Sidewalks for Wheelchair Users Considering the Sidewalk Traffic
A Theoretical Grounding for Semantic Descriptions of Place
CIMEMountainBot: A Telegram Bot to Collect Mountain Images and to Communicate Information with Mountain Guides
Touch2Query Enabled Mobile Devices: A Case Study Using OpenStreetMap and iPhone
Crowdsourcing Trajectory Based Indoor Positioning Multisource Database Construction on Smartphones
Mapping the Earthquake Landslide Risk, A Case Study in the Sichuan-Yunnan Region, China
GeoComputation in the Grid Computing Age
Web and Wireless Geographical Information Systems - 21st International Symposium, W2GIS 2024, Yverdon-les-Bains, Switzerland, June 17-18, 2024, Proceedings
Multiple Views Extraction from Semantic Trajectories
Incremental Evaluation of Continuous Range Queries over Objects Moving on Known Network Paths
An Adaptive Context Acquisition Framework to Support Mobile Spatial and Context-Aware Applications
Web and Wireless Geographical Information Systems - 19th International Symposium, W2GIS 2022, Constance, Germany, April 28-29, 2022, Proceedings
Arrival Time Dependent Shortest Path by On-Road Routing in Mobile Ad-Hoc Network
A Probabilistic Model for Road Selection in Mobile Maps
The Impact of Spatial Resolution and Representation on Human Mobility Predictability
Civil Society Mobilising Geospatial Data to Demonstrate Environmental Incompliance
Wired Fisheye Lens: A Motion-Based Improved Fisheye Interface for Mobile Web Map Services
Opportunistic Trajectory Recommendation for Task Accomplishment in Crowdsourcing Systems
Historic Queries in Geosensor Networks
A Continuous Spatial Query Processing for Push-Based Geographic Web Search Systems
A Folksonomy-Based Recommendation System for the Sensor Web
P2P and Agent Service Based On-Line 3DGIS
A Methodology for Predicting Performances of Map-Matching Algorithms
Effects of Variations in 3D Spatial Search Techniques on Mobile Query Speed vs. Accuracy
G2P: A Partitioning Approach for Processing DBSCAN with MapReduce
Maximum Gap Minimization in Polylines
A Design Process for the Development of an Interactive and Adaptive GIS
An Event Detection Service for Spatio-temporal Applications
EgoViz - A Mobile Based Spatial Interaction System
Towards GPU-Accelerated Web-GIS for Query-Driven Visual Exploration
MEMS Mobile GIS: A Spatially Enabled Fish Habitat Management System
Impact of COVID-19 on Tourists' Travel Intentions and Behaviors: The Case Study of Hong Kong, China
What Is the Impact of On-street Parking Information for Drivers?
A Proposal of Distributed Occupancy Grid Map on Block Chain Network
Location-Aware Reminders with Personal Life Content on Place-Enhanced Blogs
A Mobile Trusted Path System Based on Social Network Data
A Three-Stage Framework to Estimate Pedestrian Path by Using Signaling Data and Surveillance Video
Poly-GAN: Regularizing Polygons with Generative Adversarial Networks
Location Polling Algorithm for Alerting Service Based on Location
Inferring and Focusing Areas of Interest from GPS Traces
Towards the Geo-spatial Querying of the Semantic Web with ONTOAST
Integrating Data from Maps on the World-Wide Web
Framy- Visualizing Spatial Query Results on Mobile Interfaces
Towards a Framework for Personalising Leisure Walking Route Recommendations
PhotoMap - Automatic Spatiotemporal Annotation for Mobile Photos
SAMATS - Triangle Grouping and Structure Recovery for 3D Building Modeling and Visualization
A Hybrid Spatial Model for Representing Indoor Environments
Predicting the Spatial Impact of Planned Special Events
Speech and Multimodal Interaction in Mobile GIS Search: A Case of Study
Feathered Tiles with Uniform Payload Size for Progressive Transmission of Vector Data
Region-Aware Route Planning
Refined Route Instructions Using Topological Stages of Closeness
A Multi-agent System for the Simulation of Ship Evacuation
Geo-Enabling Spatially Relevant Data for Mobile Information Use and Visualisation
A Data-Driven Approach for Convergence Prediction on Road Network
On the Impact of Location-related Terms in Neural Embeddings for Content Similarity Measures in Cultural Heritage Recommender Systems
Enforcing Protection Mechanisms for Geographic Data
Prediction of GPS Multipath Effect Using LiDAR Digital Surface Models and Building Footprints
The Self-relocating Index Scheme for Telematics GIS
Putting Location-Based Services on the Map
Using Cameras to Improve Wi-Fi Based Indoor Positioning
Heterogeneous Data Integration Using Web of Data Technologies
Interpreting Pedestrian Behaviour by Visualising and Clustering Movement Data
Semantic Trajectories in Mobile Workforce Management Applications
Web and Wireless Geographical Information Systems - 12th International Symposium, W2GIS 2013, Banff, AB, Canada, April 4-5, 2013. Proceedings
Geosensor Network Optimisation to Support Decisions at Multiple Scales
A Semantic-Based Data Model for the Manipulation of Trajectories: Application to Urban Transportation
Personalized Accessibility Maps (PAMs) for Communities with Special Needs
Improving Archaeological Heritage Information Access Through a Personalised GIS Interface
A Novel Indexing Method for Digital Video Contents Using a 3-Dimensional City Map
Assessing and Managing Soil Quality with Geodata: The IQS Project
Post-analysis of OSM-GAN Spatial Change Detection
Tiled Vectors: A Method for Vector Transmission over the Web
Automatic Tag Enrichment for Points-of-Interest in Open Street Map
Understanding Multilingual Correlation of Geo-Tagged Tweets for POI Recommendation
A Novel Framework for Spatiotemporal POI Analysis
A Management System of Street Trees by Using RFID
City Link: Finding Similar Areas in Two Cities Using Twitter Data
Web and Wireless Geographical Information Systems - 22nd International Symposium, W2GIS 2025, Mexico City, Mexico, September 8-9, 2025, Proceedings
ARCAMA-3D - A Context-Aware Augmented Reality Mobile Platform for Environmental Discovery
Analyzing Water Consumption Patterns in Mexico City: A GIS and Data Science Approach
Recommendations Based on Region and Spatial Profiles
Generation of Web-Based GIS Applications Through the Reuse of Software Artefacts
Efficient Multiscale Representations for Geographical Objects
Designing a Query Language Using Keyword Pairs for Spatial and Temporal Search