LOD (2)

Publications

volume 14506, 2024

Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II LOD (2) 14506 (2024)

2023

Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison. LOD (2) (2023)
Sara Ceschia, Luca Di Gaspero, Roberto Maria Rosati, Andrea Schaerf
Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization. LOD (2) (2023)
Tarek Salhi, John R. Woodward
SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization. LOD (2) (2023)
Renato De Leone, Francesca Maggioni, Andrea Spinelli
A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions. LOD (2) (2023)
Silvia Arellano, Beatriz Otero, Rubén Tous
Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code. LOD (2) (2023)
Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis
Ensemble Clustering for Boundary Detection in High-Dimensional Data. LOD (2) (2023)
David Heik, Fouad Bahrpeyma, Dirk Reichelt
Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems. LOD (2) (2023)
Taehwan Yun, Myung Jun Kim, Hyunjung Shin
Accelerated Graph Integration with Approximation of Combining Parameters. LOD (2) (2023)
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)
Gabriel Turinici
Diversity in Deep Generative Models and Generative AI. LOD (2) (2023)
Habtom Kahsay Gidey, Peter Hillmann, Andreas Karcher, Alois Knoll
User-Like Bots for Cognitive Automation: A Survey. LOD (2) (2023)
Gerard Rinkus
A Radically New Theory of How the Brain Represents and Computes with Probabilities. LOD (2) (2023)
Maria Elena Bruni, Guido Perboli, Filippo Velardocchia
LSTM Noise Robustness: A Case Study for Heavy Vehicles. LOD (2) (2023)
Andrea Martin, Kristen Brent Venable
Decision-Making over Compact Preference Structures. LOD (2) (2023)
Niall McGuire, Yashar Moshfeghi
On Ensemble Learning for Mental Workload Classification. LOD (2) (2023)
Kunjira Kingphai, Yashar Moshfeghi
On Channel Selection for EEG-Based Mental Workload Classification. LOD (2) (2023)
Zijun Liu, Xinxin Wu, Wei Yao
Social Media Analysis: The Relationship Between Private Investors and Stock Price. LOD (2) (2023)
Piotr Pomorski, Denise Gorse
Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes. LOD (2) (2023)
Jan Kronqvist, Boda Li, Jan Rolfes, Shudian Zhao
Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems. LOD (2) (2023)
Sven Beckmann, Bernhard Bauer
Evaluation of Selected Autoencoders in the Context of End-User Experience Management. LOD (2) (2023)
Punit Kumar Chaubey, Shyam Sundar
A Hybrid Steady-State Genetic Algorithm for the Minimum Conflict Spanning Tree Problem. LOD (2) (2023)
Raphael C. Engelhardt, Ralitsa Raycheva, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. LOD (2) (2023)
Michael Mittermaier, Takfarinas Saber, Goetz Botterweck
Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains. LOD (2) (2023)
Jong Ho Jhee, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin
Multi-scale Heat Kernel Graph Network for Graph Classification. LOD (2) (2023)
Jiye Li, Yun Yin, Daniel Lafond, Alireza Ghasemi, Claver Diallo, Eric Bertrand
Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation. LOD (2) (2023)
Akhila Atmakuru, Giuseppe Di Fatta, Giuseppe Nicosia, Ali Varzandian, Atta Badii
Sensitivity Analysis for Feature Importance in Predicting Alzheimer's Disease. LOD (2) (2023)
José Diogo Marques dos Santos, José Paulo Marques dos Santos
Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data. LOD (2) (2023)
Leonid Sheremetov, Luis A. Lopez-Peña, Gabriela B. Díaz-Cortes, 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)
Niall McGuire, Yashar Moshfeghi
What Song Am I Thinking Of? LOD (2) (2023)
Zoltán Tasnádi, Noémi Gaskó
Heaviest and Densest Subgraph Computation for Binary Classification. A Case Study. LOD (2) (2023)
Steven D. Prestwich
Solving Mixed Influence Diagrams by Reinforcement Learning. LOD (2) (2023)
Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin
A Proximal Algorithm for Network Slimming. LOD (2) (2023)
Erdem Ünal, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen
Geolocation Risk Scores for Credit Scoring Models. LOD (2) (2023)
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)

volume 13811, 2023

Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II LOD (2) 13811 (2023)

2022