LOD

Publications

volume 13164, 2022

Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II LOD 13164 (2022)

volume 13163, 2022

Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I LOD 13163 (2022)

2021

Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn
A Framework for Imbalanced Time-Series Forecasting. LOD (2021)
Saurabh Shukla, Subhasis Thakur, John G. Breslin
Anomaly Detection in Smart Grid Network Using FC-Based Blockchain Model and Linear SVM. LOD (2021)
Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa F. Polania, Marjorie Sayer, Jake Taylor, Claudionor Nunes Coelho
Boosted Embeddings for Time-Series Forecasting. LOD (2021)
Olivia Jullian, Beatriz Otero, Mirjana Stojilovic, Juan José Costa, Javier Verdú, Manuel Alejandro Pajuelo
Deep Learning Detection of GPS Spoofing. LOD (2021)
Stanislav Selitskiy, Nikolaos Christou, Natalya Selitskaya
Using Statistical and Artificial Neural Networks Meta-learning Approaches for Uncertainty Isolation in Face Recognition by the Established Convolutional Models. LOD (2021)
Kateryna Muts, Heiko Falk
Predicting Worst-Case Execution Times During Multi-criterial Function Inlining. LOD (2021)
Gideon Hanse, Roy de Winter, Bas van Stein, Thomas Bäck
Optimally Weighted Ensembles for Efficient Multi-objective Optimization. LOD (2021)
David Valencia, Henry Williams, Bruce A. MacDonald, Ting Qiao
Action-Conditioned Frame Prediction Without Discriminator. LOD (2021)
Apostol Vassilev, Munawar Hasan, Honglan Jin
Can You Tell? SSNet - A Biologically-Inspired Neural Network Framework for Sentiment Classifiers. LOD (2021)
Baris Bayram, Büsra Ülkü, Gözde Aydin, Raha Akhavan-Tabatabaei, Burçin Bozkaya
A Machine Learning Approach to Daily Capacity Planning in E-Commerce Logistics. LOD (2021)
Loïc Grossetête, Alexandre Marois, Bénédicte Chatelais, Christian Gagné, Daniel Lafond
Active Learning for Capturing Human Decision Policies in a Data Frugal Context. LOD (2021)
Marcin Orchel, Johan A. K. Suykens
Improved Update Rule and Sampling of Stochastic Gradient Descent with Extreme Early Stopping for Support Vector Machines. LOD (2021)
Eva Chondrodima, Harris V. Georgiou, Nikos Pelekis, Yannis Theodoridis
Public Transport Arrival Time Prediction Based on GTFS Data. LOD (2021)
Giorgio Gnecco, Andrea Bacigalupo
On Principal Component Analysis of the Convex Combination of Two Data Matrices and Its Application to Acoustic Metamaterial Filters. LOD (2021)
Tejas Bana, Jatan Loya, Siddhant Kulkarni
ViT - Inception - GAN for Image Colourisation. LOD (2021)
Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn
Mixing Consistent Deep Clustering. LOD (2021)
Yuval Ben-David, Gail Gilboa-Freedman
Utilizing Predictive Models to Identify the Influence of Full Prior Distribution in Hypothesis Testing Problems. LOD (2021)
Parsa Vafaie, Herna L. Viktor, Eric Paquet, Wojtek Michalowski
Online Semi-supervised Learning from Evolving Data Streams with Meta-features and Deep Reinforcement Learning. LOD (2021)
Chrismarie Enslin, Vladimir Samsonov, Hans-Georg Köpken, Schirin Bär, Daniel Lütticke
Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications. LOD (2021)
Nicoletta Del Buono, Flavia Esposito, Laura Selicato
Toward a New Approach for Tuning Regularization Hyperparameter in NMF. LOD (2021)
Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu
Explainable AI for Financial Forecasting. LOD (2021)
Eliane Maalouf, David Ginsbourger, Niklas Linde
Fast ABC with Joint Generative Modelling and Subset Simulation. LOD (2021)
Mihai-Alexandru Suciu, Rodica Ioana Lung
A New Nash-Probit Model for Binary Classification. LOD (2021)
Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana
Adversarial Perturbations for Evolutionary Optimization. LOD (2021)
Subhasish Basak, Sébastien Petit, Julien Bect, Emmanuel Vázquez
Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation. LOD (2021)
Des Fagan, Ruth Conroy Dalton
The Optimized Social Distance Lab - A Methodology for Automated Building Layout Redesign for Social Distancing. LOD (2021)
Alberto Archetti, Marco Cannici, Matteo Matteucci
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A. LOD (2021)
Jonathan Etumusei, Jorge Martínez Carracedo, Sally I. McClean
Estimating Change Intensity and Duration in Human Activity Recognition Using Martingales. LOD (2021)
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches. LOD (2021)
Shun Matsuura, Hiroshi Kurata
Statistical Estimation of Quantization for Probability Distributions: Best Equivariant Estimator of Principal Points. LOD (2021)
Dhekra Bousnina, Gilles Guerassimoff
Deep Reinforcement Learning for Optimal Energy Management of Multi-energy Smart Grids. LOD (2021)
Ines Adouani, Chafik Samir
An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds. LOD (2021)
Luigi Asprino, Luana Bulla, Ludovica Marinucci, Misael Mongiovì, Valentina Presutti
A Large Visual Question Answering Dataset for Cultural Heritage. LOD (2021)
Norma Gutiérrez, Beatriz Otero, Eva Rodríguez, Ramon Canal
Malicious Website Detection Through Deep Learning Algorithms. LOD (2021)
Joy Azzam, Benjamin W. Ong, Allan A. Struthers
Randomized Iterative Methods for Matrix Approximation. LOD (2021)
Elena Bellodi, Riccardo Zese, Francesco Bertasi
Machine Learning in a Policy Support System for Smart Tourism Management. LOD (2021)
Natalya Goryunova, Artem Baklanov, Egor Ianovski
A Noisy-Labels Approach to Detecting Uncompetitive Auctions. LOD (2021)
Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. LOD (2021)
Mostafa Kiani Shahvandi, Benedikt Soja
Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series. LOD (2021)
Rocio Nahime Torres, Federico Milani, Piero Fraternali
ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization. LOD (2021)
Eugenio Piasini, Vijay Balasubramanian, Joshua I. Gold
Effect of Geometric Complexity on Intuitive Model Selection. LOD (2021)
Margarita Zaleshina, Alexander Zaleshin
Topological Properties of Mouse Neuronal Populations in Fluorescence Microscopy Images. LOD (2021)
Ivan Letteri, Antonio Di Cecco, Giuseppe Della Penna
New Optimization Approaches in Malware Traffic Analysis. LOD (2021)
Michela Quadrini, Massimo Cavallin, Sebastian Daberdaku, Carlo Ferrari
ProSPs: Protein Sites Prediction Based on Sequence Fragments. LOD (2021)
Keith Rudd, Michelle M. Eshow, Mary Gibbs
Method for Generating Explainable Deep Learning Models in the Context of Air Traffic Management. LOD (2021)
Ying Li, Vitalii Zakhozhyi, Yu Fu, Joy He-Yueya, Vishwa Pardeshi, Luis J. Salazar
Building Knowledge Base for the Domain of Economic Mobility of Older Workers. LOD (2021)
Sergio Consoli, Matteo Negri, Amirhossein Tebbifakhr, Elisa Tosetti, Marco Turchi
Forecasting the IBEX-35 Stock Index Using Deep Learning and News Emotions. LOD (2021)
Joachim Schreurs, Hannes De Meulemeester, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks. LOD (2021)