- Leonid Sheremetov, Luis A. Lopez-Peña, Gabriela Berenice Díaz-Cortés
, Dennys A. Lopez-Falcon, Erick E. Luna-Rojero:
Deep Learning Model of Two-Phase Fluid Transport Through Fractured Media: A Real-World Case Study. LOD (2) 2023: 55-68 - Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck:
Co-imagination of Behaviour and Morphology of Agents. LOD (1) 2023: 318-332 - Sruthi Srinivasan, Emilia Butters, Flavia Mancini, Gemma Bale:
Towards an Interpretable Functional Image-Based Classifier: Dimensionality Reduction of High-Density Diffuse Optical Tomography Data. LOD (2) 2023: 351-357 - Zoltán Tasnádi, Noémi Gaskó:
Heaviest and Densest Subgraph Computation for Binary Classification. A Case Study. LOD (2) 2023: 140-148 - Bruce Kwong-Bun Tong, Wing Cheong Lau, Chi Wan Sung, Wing Shing Wong:
PROS-C: Accelerating Random Orthogonal Search for Global Optimization Using Crossover. LOD (2) 2023: 283-298 - Ousmane Touat, Julian Stier, Pierre-Edouard Portier, Michael Granitzer:
GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and Graph Embeddings-Based Metrics for Graph Generators. LOD (1) 2023: 430-444 - Gabriel Turinici:
Diversity in Deep Generative Models and Generative AI. LOD (2) 2023: 84-93 - Riccardo Ughi, Eugenio Lomurno, Matteo Matteucci:
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning. LOD (1) 2023: 463-478 - Erdem Ünal, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen:
Geolocation Risk Scores for Credit Scoring Models. LOD (2) 2023: 34-44 - Johannes Varga, Emil Karlsson, Günther R. Raidl, Elina Rönnberg, Fredrik Lindsten, Tobias Rodemann:
Speeding Up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks. LOD (1) 2023: 24-38 - Lakshmi Sree Vindhya, R. Gnana Prasanna, Rakesh Sengupta, Anuj Shukla:
Modeling Primacy, Recency, and Cued Recall in Serial Memory Task Using On-Center Off-Surround Recurrent Neural Network. LOD (1) 2023: 405-414 - Taehwan Yun, Myung Jun Kim, Hyunjung Shin:
Accelerated Graph Integration with Approximation of Combining Parameters. LOD (2) 2023: 163-176 - Margarita Zaleshina, Alexander Zaleshin:
Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets. LOD (1) 2023: 39-52 - 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 [contents] - 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 II. Lecture Notes in Computer Science 13811, Springer 2023, ISBN 978-3-031-25890-9 [contents] - 2022
- 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. LOD (1) 2022: 596-612 - Wadhah Zai El Amri, Luca Hermes, Malte Schilling:
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent. LOD (2) 2022: 265-280 - 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. LOD (1) 2022: 459-469 - Andrea Asperti, Marco Del Brutto:
MicroRacer: A Didactic Environment for Deep Reinforcement Learning. LOD (1) 2022: 239-252 - Emre Atan, Ali Duymaz, Funda Sarisözen, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen:
Corporate Network Analysis Based on Graph Learning. LOD (1) 2022: 268-278 - Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis, Min Wu, Sophia Tsoka:
Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders. LOD (2) 2022: 47-61 - Silvio Barra, Salvatore Carta, Antonello Meloni, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
A Practical Approach for Vehicle Speed Estimation in Smart Cities. LOD (1) 2022: 253-267 - Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Generalising via Meta-examples for Continual Learning in the Wild. LOD (1) 2022: 414-429 - Francesco Biancalani, Giorgio Gnecco, Rodolfo Metulini, Massimo Riccaboni:
Matrix Completion for the Prediction of Yearly Country and Industry-Level CO2 Emissions. LOD (1) 2022: 14-19 - Davide Borra, Matteo Filippini, Mauro Ursino, Patrizia Fattori, Elisa Magosso:
A Bayesian-Optimized Convolutional Neural Network to Decode Reach-to-Grasp from Macaque Dorsomedial Visual Stream. LOD (2) 2022: 473-487 - Ana Boskovic, Marco Gross:
Helping the Oracle: Vector Sign Constraints for Model Shrinkage Methodologies. LOD (1) 2022: 444-458 - Hong-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari, Nicolas J.-B. Brunel:
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series. LOD (2) 2022: 281-295 - Bostjan Brumen, Sabrina Göllner, Marina Tropmann-Frick:
Aspects and Views on Responsible Artificial Intelligence. LOD (1) 2022: 384-398 - Luana Bulla, Stefano De Giorgis, Aldo Gangemi, Ludovica Marinucci, Misael Mongiovì:
Detection of Morality in Tweets Based on the Moral Foundation Theory. LOD (1) 2022: 1-13 - 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. LOD (1) 2022: 485-500
