- 2024
- Giuseppe Nicosia
, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14505, Springer 2024, ISBN 978-3-031-53968-8 [contents] - Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14506, Springer 2024, ISBN 978-3-031-53965-7 [contents] - 2023
- Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis:
Ensemble Clustering for Boundary Detection in High-Dimensional Data. LOD (2) 2023: 324-333 - Silvia Arellano, Beatriz Otero, Tomasz Piotr Kucner, Ramon Canal:
A 3D Terrain Generator: Enhancing Robotics Simulations with GANs. LOD (1) 2023: 212-226 - Silvia Arellano, Beatriz Otero, Rubén Tous:
Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code. LOD (2) 2023: 19-33 - Akhila Atmakuru, Giuseppe Di Fatta, Giuseppe Nicosia, Atta Badii:
Improved Filter-Based Feature Selection Using Correlation and Clustering Techniques. LOD (1) 2023: 379-389 - Akhila Atmakuru, Giuseppe Di Fatta, Giuseppe Nicosia, Ali Varzandian, Atta Badii:
Sensitivity Analysis for Feature Importance in Predicting Alzheimer's Disease. LOD (2) 2023: 449-465 - Nándor Bándi, Noémi Gaskó:
Solving Continuous Optimization Problems with a New Hyperheuristic Framework. LOD (1) 2023: 116-130 - Sven Beckmann, Bernhard Bauer:
Evaluation of Selected Autoencoders in the Context of End-User Experience Management. LOD (2) 2023: 222-236 - Nicolò Bellarmino, Riccardo Cantoro, Giovanni Squillero:
U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration. LOD (1) 2023: 364-378 - Giacomo Boldini, Alessio Diana, Vincenzo Arceri, Vincenzo Bonnici, Roberto Bagnara:
A Machine Learning Approach for Source Code Similarity via Graph-Focused Features. LOD (1) 2023: 53-67 - Alessio Bonfiglio, Marco Cannici, Matteo Matteucci:
SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation. LOD (1) 2023: 497-511 - Maria Elena Bruni, Guido Perboli, Filippo Velardocchia:
LSTM Noise Robustness: A Case Study for Heavy Vehicles. LOD (2) 2023: 311-323 - Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin:
A Proximal Algorithm for Network Slimming. LOD (2) 2023: 69-83 - Sara Ceschia, Luca Di Gaspero, Roberto Maria Rosati, Andrea Schaerf:
Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization. LOD (2) 2023: 206-221 - Punit Kumar Chaubey, Shyam Sundar:
A Hybrid Steady-State Genetic Algorithm for the Minimum Conflict Spanning Tree Problem. LOD (2) 2023: 192-205 - Georgios Cheirmpos, Seyed Amin Tabatabaei, Evangelos Kanoulas, Georgios Tsatsaronis:
Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text. LOD (1) 2023: 131-141 - Vedat Dogan, Steven D. Prestwich:
Bilevel Optimization by Conditional Bayesian Optimization. LOD (1) 2023: 243-258 - Raphael C. Engelhardt, Ralitsa Raycheva, Moritz Lange, Laurenz Wiskott, Wolfgang Konen:
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. LOD (2) 2023: 109-123 - Jose E. Aguilar Escamilla, Dimitrios I. Diochnos:
Perceptrons Under Verifiable Random Data Corruption. LOD (1) 2023: 93-103 - Louis Falissard, Séverine Affeldt, Mohamed Nadif:
Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations. LOD (1) 2023: 488-496 - Filipe Ferraz, Diogo Ribeiro, Marta B. Lopes, Sónia Pedro, Susana Vinga, Alexandra M. Carvalho:
Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas. LOD (1) 2023: 174-188 - Habtom Kahsay Gidey, Peter Hillmann, Andreas Karcher, Alois Knoll:
User-Like Bots for Cognitive Automation: A Survey. LOD (2) 2023: 388-402 - Gail Gilboa-Freedman:
The Price of Data Processing: Impact on Predictive Model Performance. LOD (1) 2023: 189-196 - Ameya Gujar, Tanu Gupta, Sudip Roy:
Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region. LOD (1) 2023: 227-242 - Alireza Hajebrahimi, Michael Evan Santoso, Máté Kovács, Victor V. Kryssanov:
Few-Shot Learning for Character Recognition in Persian Historical Documents. LOD (1) 2023: 259-273 - David Heik, Fouad Bahrpeyma, Dirk Reichelt:
Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems. LOD (2) 2023: 237-254 - Michael Hellwig, Steffen Finck:
Joining Emission Data from Diverse Economic Activity Taxonomies with Evolution Strategies. LOD (1) 2023: 415-429 - Omaimah Al Hosni, Andrew J. Starkey:
Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data? LOD (1) 2023: 445-462 - Jong Ho Jhee, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin:
Multi-scale Heat Kernel Graph Network for Graph Classification. LOD (2) 2023: 270-282
