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8th LOD 2022, Certosa di Pontignano, Italy - Part I
- Giuseppe Nicosia
, Varun Ojha
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13810, Springer 2023, ISBN 978-3-031-25598-4 - Luana Bulla
Detection of Morality in Tweets Based on the Moral Foundation Theory. 1-13 - Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini
Matrix Completion for the Prediction of Yearly Country and Industry-Level CO2 Emissions. 14-19 - Philip Stahmann, Bodo Rieger:
A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0. 20-34 - Yutong Li
A Matrix Factorization-Based Drug-Virus Link Prediction Method for SARS-CoV-2 Drug Prioritization. 35-47 - Pascal Mettes
Hyperbolic Graph Codebooks. 48-61 - Marzieh Soleimanpoor, Milad Mokhtaridoost, Mehmet Gönen
A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages. 62-77 - Stanislav Selitskiy
Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition. 78-92 - Gaetano Settembre
Machine Learning Approaches for Predicting Crystal Systems: A Brief Review and a Case Study. 93-107 - Meyssa Zouambi
LS-PON: A Prediction-Based Local Search for Neural Architecture Search. 108-122 - Matthew Hutchings
Local Optimisation of Nyström Samples Through Stochastic Gradient Descent. 123-140 - Jiye Li
Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting. 141-155 - Angelo Impedovo
Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms. 156-166 - Kelly Smalenberger
Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling. 167-180 - Lukás Novák
Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion. 181-196 - Irene Francesca Strydom
Transformers for COVID-19 Misinformation Detection on Twitter: A South African Case Study. 197-210 - Robin Fuchs, Denys Pommeret, Samuel Stocksieker:
MI2AMI: Missing Data Imputation Using Mixed Deep Gaussian Mixture Models. 211-222 - Eugenio Lomurno
On the Utility and Protection of Optimization with Differential Privacy and Classic Regularization Techniques. 223-238 - Andrea Asperti
MicroRacer: A Didactic Environment for Deep Reinforcement Learning. 239-252 - Silvio Barra, Salvatore Carta
A Practical Approach for Vehicle Speed Estimation in Smart Cities. 253-267 - Emre Atan, Ali Duymaz, Funda Sarisözen, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen
Corporate Network Analysis Based on Graph Learning. 268-278 - Mirco Milletarí, Sara Malvar, Yagna D. Oruganti, Leonardo O. Nunes, Yazeed Alaudah, Anirudh Badam:
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-linear Bayesian Regression Approach. 279-293 - Filippo Velardocchia
Analysis of Heavy Vehicles Rollover with Artificial Intelligence Techniques. 294-308 - Rommel G. Regis
Hyperparameter Tuning of Random Forests Using Radial Basis Function Models. 309-324 - Ruiqi Zhu, Xue Li
TREAT: Automated Construction and Maintenance of Probabilistic Knowledge Bases from Logs (Extended Abstract). 325-329 - Raphael C. Engelhardt
Sample-Based Rule Extraction for Explainable Reinforcement Learning. 330-345 - Xue Li
ABC in Root Cause Analysis: Discovering Missing Information and Repairing System Failures. 346-359 - Bartlomiej Malkus
Forecasting Daily Cash Flows in a Company - Shortcoming in the Research Field and Solution Exploration. 360-369 - Christofer Fellicious
Neural Network Based Drift Detection. 370-383 - Bostjan Brumen
Aspects and Views on Responsible Artificial Intelligence. 384-398 - Philip Stahmann, Maximilian Nebel, Bodo Rieger:
A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production. 399-413 - Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Generalising via Meta-examples for Continual Learning in the Wild. 414-429 - Alessandro Guazzo, Enrico Longato
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports. 430-443 - Ana Boskovic
Helping the Oracle: Vector Sign Constraints for Model Shrinkage Methodologies. 444-458 - Daniel Asfaw, Ivan Jordanov
Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance. 459-469 - Kiran Chhatre, Sidney A. Feygin, Colin J. R. Sheppard, Rashid A. Waraich:
Parallel Bayesian Optimization of Agent-Based Transportation Simulation. 470-484 - Nicoletta Del Buono, Flavia Esposito, Grazia Gargano
Detecting Anomalies in Marine Data: A Framework for Time Series Analysis. 485-500 - Alberto Zurli, Alessia Bertugli, Jacopo Credi:
Does Catastrophic Forgetting Negatively Affect Financial Predictions? 501-515 - Marco Reggiannini
Mesoscale Events Classification in Sea Surface Temperature Imagery. 516-527 - Junzheng Wu
Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions. 528-542 - Iulia Igescu
Capturing Self Fulfilling Beliefs in a Rare Event: Local Outlier Factor. 543-557 - Jiye Li
Hybrid Human-AI Forecasting for Task Duration Estimation in Ship Refit. 558-572 - Weijia Shao, Sahin Albayrak:
Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives. 573-595 - Matteo N. Amaradio, Giorgio Jansen, Varun Ojha, Jole Costanza, Giuseppe Di Fatta, Giuseppe Nicosia:
Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models. 596-612
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