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Publication search results
found 41 matches
- 2022
- 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 [contents] - 2021
- Ines Adouani, Chafik Samir:
An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds. LOD 2021: 325-337 - Awais Ashfaq, Markus Lingman, Slawomir Nowaczyk:
KAFE: Knowledge and Frequency Adapted Embeddings. LOD 2021: 132-146 - Andrea Asperti, Davide Evangelista, Moreno Marzolla:
Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations. LOD 2021: 86-100 - Luigi Asprino, Luana Bulla, Ludovica Marinucci, Misael Mongiovì, Valentina Presutti:
A Large Visual Question Answering Dataset for Cultural Heritage. LOD 2021: 193-197 - Osama Assaf, Giuseppe Di Fatta, Giuseppe Nicosia:
Multivariate LSTM for Stock Market Volatility Prediction. LOD 2021: 531-544 - Ibraheem Azeem, Moayid Ali Zaidi:
Zero-Shot Learning-Based Detection of Electric Insulators in the Wild. LOD 2021: 213-225 - Joy Azzam, Benjamin W. Ong, Allan A. Struthers:
Randomized Iterative Methods for Matrix Approximation. LOD 2021: 226-240 - Subhasish Basak, Sébastien Petit, Julien Bect, Emmanuel Vázquez:
Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation. LOD 2021: 116-131 - 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: 45-50 - Vincenzo Bonnici, Andrea Cracco, Giuditta Franco:
A k-mer Based Sequence Similarity for Pangenomic Analyses. LOD 2021: 31-44 - Dhekra Bousnina, Gilles Guerassimoff:
Deep Reinforcement Learning for Optimal Energy Management of Multi-energy Smart Grids. LOD 2021: 15-30 - Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Explainable AI for Financial Forecasting. LOD 2021: 51-69 - Eva Chondrodima, Harris V. Georgiou, Nikos Pelekis, Yannis Theodoridis:
Public Transport Arrival Time Prediction Based on GTFS Data. LOD 2021: 481-495 - 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: 261-276 - Des Fagan, Ruth Conroy Dalton:
The Optimized Social Distance Lab - A Methodology for Automated Building Layout Redesign for Social Distancing. LOD 2021: 496-501 - Giorgia Franchini, Valeria Ruggiero, Ilaria Trombini:
Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods. LOD 2021: 277-282 - Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana:
Adversarial Perturbations for Evolutionary Optimization. LOD 2021: 408-422 - Giovanni Giuffrida, Francesco Mazzeo Rinaldi, Andrea Russo:
Analyzing Communication Broadcasting in the Digital Space. LOD 2021: 518-530 - Loïc Grossetête, Alexandre Marois, Bénédicte Chatelais, Christian Gagné, Daniel Lafond:
Active Learning for Capturing Human Decision Policies in a Data Frugal Context. LOD 2021: 395-407 - Abbas Haider, Glenn I. Hawe, Hui Wang, Bryan W. Scotney:
Multi-Asset Market Making via Multi-Task Deep Reinforcement Learning. LOD 2021: 353-364 - Abhay Harpale:
Health Change Detection Using Temporal Transductive Learning. LOD 2021: 178-192 - Marc Huber, Günther R. Raidl:
Learning Beam Search: Utilizing Machine Learning to Guide Beam Search for Solving Combinatorial Optimization Problems. LOD 2021: 283-298 - Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer:
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. LOD 2021: 436-450 - 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. LOD 2021: 1-14 - Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Evaluating Hebbian Learning in a Semi-supervised Setting. LOD 2021: 365-379 - Cecilia Latotzke, Johnson Loh, Tobias Gemmeke:
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using Off-the-Shelf ANNs. LOD 2021: 423-435 - Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. LOD 2021: 451-465 - 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: 246-260 - Gabriele La Malfa, Emanuele La Malfa, Roman V. Belavkin, Panos M. Pardalos, Giuseppe Nicosia:
Distilling Financial Models by Symbolic Regression. LOD 2021: 502-517
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