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ORCID7th LOD 2021, Grasmere, UK - Part II
- Giuseppe Nicosia
, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13164, Springer 2022, ISBN 978-3-030-95469-7 - Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa F. Polanía, Marjorie Sayer, Jake Taylor, Claudionor Nunes Coelho:
Boosted Embeddings for Time-Series Forecasting. 1-14 - Dhekra Bousnina, Gilles Guerassimoff:
Deep Reinforcement Learning for Optimal Energy Management of Multi-energy Smart Grids. 15-30 - Vincenzo Bonnici, Andrea Cracco, Giuditta Franco:
A k-mer Based Sequence Similarity for Pangenomic Analyses. 31-44 - Baris Bayram, Büsra Ülkü, Gözde Aydin, Raha Akhavan-Tabatabaei, Burçin Bozkaya:
A Machine Learning Approach to Daily Capacity Planning in E-Commerce Logistics. 45-50 - Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Explainable AI for Financial Forecasting. 51-69 - Parsa Vafaie, Herna L. Viktor, Eric Paquet, Wojtek Michalowski:
Online Semi-supervised Learning from Evolving Data Streams with Meta-features and Deep Reinforcement Learning. 70-85 - Andrea Asperti, Davide Evangelista, Moreno Marzolla:
Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations. 86-100 - Meike Wohlleben, Amelie Bender, Sebastian Peitz, Walter Sextro:
Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction. 101-115 - Subhasish Basak, Sébastien Petit, Julien Bect, Emmanuel Vázquez:
Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation. 116-131 - Awais Ashfaq, Markus Lingman, Slawomir Nowaczyk:
KAFE: Knowledge and Frequency Adapted Embeddings. 132-146 - Marcin Orchel, Johan A. K. Suykens:
Improved Update Rule and Sampling of Stochastic Gradient Descent with Extreme Early Stopping for Support Vector Machines. 147-161 - Rommel G. Regis:
A Hybrid Surrogate-Assisted Accelerated Random Search and Trust Region Approach for Constrained Black-Box Optimization. 162-177 - Abhay Harpale:
Health Change Detection Using Temporal Transductive Learning. 178-192 - Luigi Asprino, Luana Bulla, Ludovica Marinucci, Misael Mongiovì, Valentina Presutti:
A Large Visual Question Answering Dataset for Cultural Heritage. 193-197 - Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau:
Expressive Graph Informer Networks. 198-212 - Ibraheem Azeem, Moayid Ali Zaidi:
Zero-Shot Learning-Based Detection of Electric Insulators in the Wild. 213-225 - Joy Azzam, Benjamin W. Ong, Allan A. Struthers:
Randomized Iterative Methods for Matrix Approximation. 226-240 - Ping Wang, Renato De Leone, Hongyan Sang:
Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem with Lot-Streaming of Random Breakdown. 241-245 - 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. 246-260 - Chrismarie Enslin, Vladimir Samsonov, Hans-Georg Köpken, Schirin Bär, Daniel Lütticke:
Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications. 261-276 - Giorgia Franchini, Valeria Ruggiero, Ilaria Trombini:
Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods. 277-282 - Marc Huber, Günther R. Raidl:
Learning Beam Search: Utilizing Machine Learning to Guide Beam Search for Solving Combinatorial Optimization Problems. 283-298 - Robin Schiewer, Laurenz Wiskott:
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning. 299-313 - Mihai-Alexandru Suciu, Rodica Ioana Lung:
A New Nash-Probit Model for Binary Classification. 314-324 - Ines Adouani, Chafik Samir:
An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds. 325-337 - 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. 338-352 - Abbas Haider, Glenn I. Hawe, Hui Wang, Bryan W. Scotney:
Multi-Asset Market Making via Multi-Task Deep Reinforcement Learning. 353-364 - Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Evaluating Hebbian Learning in a Semi-supervised Setting. 365-379 - Julian Stier, Harshil Darji, Michael Granitzer:
Experiments on Properties of Hidden Structures of Sparse Neural Networks. 380-394 - Loïc Grossetête, Alexandre Marois, Bénédicte Chatelais, Christian Gagné, Daniel Lafond:
Active Learning for Capturing Human Decision Policies in a Data Frugal Context. 395-407 - Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana:
Adversarial Perturbations for Evolutionary Optimization. 408-422 - Cecilia Latotzke, Johnson Loh, Tobias Gemmeke:
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using Off-the-Shelf ANNs. 423-435 - Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer:
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. 436-450 - Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. 451-465 - 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. 466-480 - Eva Chondrodima, Harris V. Georgiou, Nikos Pelekis, Yannis Theodoridis:
Public Transport Arrival Time Prediction Based on GTFS Data. 481-495 - Des Fagan, Ruth Conroy Dalton:
The Optimized Social Distance Lab - A Methodology for Automated Building Layout Redesign for Social Distancing. 496-501 - Gabriele La Malfa, Emanuele La Malfa, Roman V. Belavkin, Panos M. Pardalos, Giuseppe Nicosia:
Distilling Financial Models by Symbolic Regression. 502-517 - Giovanni Giuffrida, Francesco Mazzeo Rinaldi, Andrea Russo:
Analyzing Communication Broadcasting in the Digital Space. 518-530 - Osama Assaf, Giuseppe Di Fatta, Giuseppe Nicosia:
Multivariate LSTM for Stock Market Volatility Prediction. 531-544
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