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ORCID7th LOD 2021, Grasmere, UK - Part I
- 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 I. Lecture Notes in Computer Science 13163, Springer 2022, ISBN 978-3-030-95466-6 - Eugenio Piasini, Vijay Balasubramanian, Joshua I. Gold:
Effect of Geometric Complexity on Intuitive Model Selection. 1-24 - Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches. 25-40 - Sakrapee Paisalnan, Frank E. Pollick, Yashar Moshfeghi:
Towards Understanding Neuroscience of Realisation of Information Need in Light of Relevance and Satisfaction Judgement. 41-56 - Ivan Letteri, Antonio Di Cecco, Giuseppe Della Penna:
New Optimization Approaches in Malware Traffic Analysis. 57-68 - Margarita Zaleshina, Alexander Zaleshin:
Topological Properties of Mouse Neuronal Populations in Fluorescence Microscopy Images. 69-80 - Andrea Bommert, Jörg Rahnenführer, Michel Lang:
Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features. 81-92 - Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka:
A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach. 93-104 - Tejas Bana, Jatan Loya, Siddhant Kulkarni:
ViT - Inception - GAN for Image Colourisation. 105-118 - Giorgio Gnecco, Andrea Bacigalupo:
On Principal Component Analysis of the Convex Combination of Two Data Matrices and Its Application to Acoustic Metamaterial Filters. 119-123 - Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn:
Mixing Consistent Deep Clustering. 124-137 - Yuval Ben-David, Gail Gilboa-Freedman:
Utilizing Predictive Models to Identify the Influence of Full Prior Distribution in Hypothesis Testing Problems. 138-143 - Gideon Hanse, Roy de Winter, Bas van Stein, Thomas Bäck:
Optimally Weighted Ensembles for Efficient Multi-objective Optimization. 144-156 - Saurabh Shukla, Subhasis Thakur, John G. Breslin:
Anomaly Detection in Smart Grid Network Using FC-Based Blockchain Model and Linear SVM. 157-171 - David Browne, Michael Giering, Steven D. Prestwich:
Unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means Clustering. 172-184 - Natalya Goryunova, Artem Baklanov, Egor Ianovski:
A Noisy-Labels Approach to Detecting Uncompetitive Auctions. 185-200 - Alessandro Riboni, Antonio Candelieri, Matteo Borrotti:
Deep Autonomous Agents Comparison for Self-driving Cars. 201-213 - Keith Rudd, Michelle M. Eshow, Mary Gibbs:
Method for Generating Explainable Deep Learning Models in the Context of Air Traffic Management. 214-234 - Rutuja Taware, Shraddha Varat, Gaurav Salunke, Chaitanya Gawande, Geetanjali Kale, Rahul Khengare, Raviraj Joshi:
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models. 235-249 - Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn:
A Framework for Imbalanced Time-Series Forecasting. 250-264 - Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben:
pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice. 265-280 - Kateryna Muts, Heiko Falk:
Predicting Worst-Case Execution Times During Multi-criterial Function Inlining. 281-295 - Mostafa Kiani Shahvandi, Benedikt Soja:
Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series. 296-307 - Sergio Consoli, Matteo Negri, Amirhossein Tebbifakhr, Elisa Tosetti, Marco Turchi:
Forecasting the IBEX-35 Stock Index Using Deep Learning and News Emotions. 308-323 - David Valencia, Henry Williams, Bruce A. MacDonald, Ting Qiao:
Action-Conditioned Frame Prediction Without Discriminator. 324-337 - John Donaghy, Kai Germaschewski:
Inference and De-noising of Non-gaussian Particle Distribution Functions: A Generative Modeling Approach. 338-348 - Van Trong Nguyen, Fedor Fedorovich Pashchenko:
Convolutional Neural Network for Classification of Aerial Survey Images in the Recognition System. 349-356 - Apostol Vassilev, Munawar Hasan, Honglan Jin:
Can You Tell? SSNet - A Biologically-Inspired Neural Network Framework for Sentiment Classifiers. 357-382 - Rocio Nahime Torres, Federico Milani, Piero Fraternali:
ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization. 383-398 - Pietro Barbiero, Giovanni Squillero, Alberto Tonda:
Predictable Features Elimination: An Unsupervised Approach to Feature Selection. 399-412 - Eliane Maalouf, David Ginsbourger, Niklas Linde:
Fast ABC with Joint Generative Modelling and Subset Simulation. 413-429 - Shun Matsuura, Hiroshi Kurata:
Statistical Estimation of Quantization for Probability Distributions: Best Equivariant Estimator of Principal Points. 430-441 - Natalia Selini Hadjidimitriou, Marco Lippi, Marco Mamei:
Activity Imputation of Shared e-Bikes Travels in Urban Areas. 442-456 - Elena Bellodi, Riccardo Zese, Francesco Bertasi:
Machine Learning in a Policy Support System for Smart Tourism Management. 457-472 - Nadja Vater, Alfio Borzì:
Training Artificial Neural Networks with Gradient and Coarse-Level Correction Schemes. 473-487 - Nancy Agarwal, Tugçe Ünlü, Mudasir Ahmad Wani, Patrick Bours:
Predatory Conversation Detection Using Transfer Learning Approach. 488-499 - Nicoletta Del Buono, Flavia Esposito, Laura Selicato:
Toward a New Approach for Tuning Regularization Hyperparameter in NMF. 500-511 - Norma Gutiérrez, Beatriz Otero, Eva Rodríguez, Ramon Canal:
Malicious Website Detection Through Deep Learning Algorithms. 512-526 - Olivia Jullian, Beatriz Otero, Mirjana Stojilovic, Juan José Costa, Javier Verdú, Manuel Alejandro Pajuelo:
Deep Learning Detection of GPS Spoofing. 527-540 - Leonel Cruz, Rubén Tous, Beatriz Otero, Leonardo Alvarado, Sergi Mus, Otilio Rojas:
Epicentral Region Estimation Using Convolutional Neural Networks. 541-552 - Jonathan Etumusei, Jorge Martínez Carracedo, Sally I. McClean:
Estimating Change Intensity and Duration in Human Activity Recognition Using Martingales. 553-567 - Michela Quadrini, Massimo Cavallin, Sebastian Daberdaku, Carlo Ferrari:
ProSPs: Protein Sites Prediction Based on Sequence Fragments. 568-580 - Kyle Rong, Aditya Khant, David Flores, George D. Montañez:
The Label Recorder Method - Testing the Memorization Capacity of Machine Learning Models. 581-595 - Alberto Archetti, Marco Cannici, Matteo Matteucci:
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A. 596-610 - Holden Milne, Opeyemi Adesina, Russell Campbell, Barbara Friesen, Masud Khawaja:
Flexible Job-Shop Scheduling with Changeover Priorities. 611-625 - João Dionísio, Davi dos Santos, João Pedro Pedroso:
The Sea Exploration Problem Revisited. 626-640
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