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ORCID8th LOD 2022, Certosa di Pontignano, Italy - Part I
- Giuseppe Nicosia
, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton:
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, Stefano De Giorgis, Aldo Gangemi, Ludovica Marinucci, Misael Mongiovì:
Detection of Morality in Tweets Based on the Moral Foundation Theory. 1-13 - Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini, Massimo Riccaboni:
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, Xiaorui Xu, Sophia Tsoka:
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, Natalya Selitskaya:
Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition. 78-92 - Gaetano Settembre, Nicola Corriero, Nicoletta Del Buono, Flavia Esposito, Rosanna Rizzi:
Machine Learning Approaches for Predicting Crystal Systems: A Brief Review and a Case Study. 93-107 - Meyssa Zouambi, Julie Jacques, Clarisse Dhaenens:
LS-PON: A Prediction-Based Local Search for Neural Architecture Search. 108-122 - Matthew Hutchings, Bertrand Gauthier:
Local Optimisation of Nyström Samples Through Stochastic Gradient Descent. 123-140 - Jiye Li, Bruno Kinder Almentero, Camille Besse:
Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting. 141-155 - Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo:
Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms. 156-166 - Kelly Smalenberger, Michael Smalenberger:
Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling. 167-180 - Lukás Novák, David Lehký, Drahomír Novák:
Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion. 181-196 - Irene Francesca Strydom, Jacomine Grobler:
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, Matteo Matteucci:
On the Utility and Protection of Optimization with Differential Privacy and Classic Regularization Techniques. 223-238 - Andrea Asperti, Marco Del Brutto:
MicroRacer: A Didactic Environment for Deep Reinforcement Learning. 239-252 - Silvio Barra, Salvatore Carta, Antonello Meloni, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
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, Guido Perboli, Alessandro Vigliani:
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, Fangrong Wang, Alan Bundy, Jeff Z. Pan, Kwabena Nuamah, Stefano Mauceri, Lei Xu:
TREAT: Automated Construction and Maintenance of Probabilistic Knowledge Bases from Logs (Extended Abstract). 325-329 - Raphael C. Engelhardt, Moritz Lange, Laurenz Wiskott, Wolfgang Konen:
Sample-Based Rule Extraction for Explainable Reinforcement Learning. 330-345 - Xue Li, Alan Bundy, Ruiqi Zhu, Fangrong Wang, Stefano Mauceri, Lei Xu, Jeff Z. Pan:
ABC in Root Cause Analysis: Discovering Missing Information and Repairing System Failures. 346-359 - Bartlomiej Malkus, Grzegorz J. Nalepa:
Forecasting Daily Cash Flows in a Company - Shortcoming in the Research Field and Solution Exploration. 360-369 - Christofer Fellicious, Lorenz Wendlinger, Michael Granitzer:
Neural Network Based Drift Detection. 370-383 - Bostjan Brumen, Sabrina Göllner, Marina Tropmann-Frick:
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, Gian Paolo Fadini, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo:
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports. 430-443 - Ana Boskovic, Marco Gross:
Helping the Oracle: Vector Sign Constraints for Model Shrinkage Methodologies. 444-458 - Daniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana I. L. Namburete, Raymond Lee, Antoniya Georgieva:
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, Laura Selicato, Nicolò Taggio, Giulio Ceriola, Daniela Iasillo:
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, João Janeiro, Flávio Martins, Oscar Papini, Gabriele Pieri:
Mesoscale Events Classification in Sea Surface Temperature Imagery. 516-527 - Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski:
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, Daniel Lafond:
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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