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ORCID9th LOD 2023, Grasmere, UK - Part I
- 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 - Srijoni Majumdar, Evangelos Pournaras:
Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning. 1-14 - Vera Kalinichenko:
Leverage Mathematics' Capability to Compress and Generalize as Application of ML Embedding Extraction from LLMs and Its Adaptation in the Automotive Space. 15-23 - 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. 24-38 - Margarita Zaleshina, Alexander Zaleshin:
Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets. 39-52 - Giacomo Boldini, Alessio Diana, Vincenzo Arceri, Vincenzo Bonnici, Roberto Bagnara:
A Machine Learning Approach for Source Code Similarity via Graph-Focused Features. 53-67 - Sahib Julka, Michael Granitzer:
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping. 68-77 - Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna:
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. 78-92 - Jose E. Aguilar Escamilla, Dimitrios I. Diochnos:
Perceptrons Under Verifiable Random Data Corruption. 93-103 - Jirí Novák, Peter Chudý:
Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach. 104-115 - Nándor Bándi, Noémi Gaskó:
Solving Continuous Optimization Problems with a New Hyperheuristic Framework. 116-130 - Georgios Cheirmpos, Seyed Amin Tabatabaei, Evangelos Kanoulas, Georgios Tsatsaronis:
Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text. 131-141 - Fitria Wulandari Ramlan, James McDermott:
Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data. 142-157 - Ang Li, Peter J. Stuckey, Sven Koenig, T. K. Satish Kumar:
A FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality. 158-173 - 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. 174-188 - Gail Gilboa-Freedman:
The Price of Data Processing: Impact on Predictive Model Performance. 189-196 - Alexander Nasuta, Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt:
Reward Shaping for Job Shop Scheduling. 197-211 - Silvia Arellano, Beatriz Otero, Tomasz Piotr Kucner, Ramon Canal:
A 3D Terrain Generator: Enhancing Robotics Simulations with GANs. 212-226 - Ameya Gujar, Tanu Gupta, Sudip Roy:
Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region. 227-242 - Vedat Dogan, Steven D. Prestwich:
Bilevel Optimization by Conditional Bayesian Optimization. 243-258 - Alireza Hajebrahimi, Michael Evan Santoso, Máté Kovács, Victor V. Kryssanov:
Few-Shot Learning for Character Recognition in Persian Historical Documents. 259-273 - Eric Paquet, Herna L. Viktor, Wojtek Michalowski, Gabriel St-Pierre Lemieux:
ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis. 274-287 - Maria Alexandra Oliveira, Luís Guimarães, José Luís Borges, Bernardo Almada-Lobo:
A Data-Driven Monitoring Approach for Diagnosing Quality Degradation in a Glass Container Process. 288-302 - Rakesh Sengupta, Surampudi Bapi Raju, Anindya Pattanayak:
Exploring Emergent Properties of Recurrent Neural Networks Using a Novel Energy Function Formalism. 303-317 - Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck:
Co-imagination of Behaviour and Morphology of Agents. 318-332 - Rodica Ioana Lung, Mihai-Alexandru Suciu:
An Evolutionary Approach to Feature Selection and Classification. 333-347 - Stanislav Selitskiy:
"It Looks All the Same to Me": Cross-Index Training for Long-Term Financial Series Prediction. 348-363 - Nicolò Bellarmino, Riccardo Cantoro, Giovanni Squillero:
U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration. 364-378 - Akhila Atmakuru, Giuseppe Di Fatta, Giuseppe Nicosia, Atta Badii:
Improved Filter-Based Feature Selection Using Correlation and Clustering Techniques. 379-389 - Sahib Julka, Rodion Ishmukhametov, Michael Granitzer:
Deep Active Learning with Concept Drifts for Detection of Mercury's Bow Shock and Magnetopause Crossings. 390-404 - 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. 405-414 - Michael Hellwig, Steffen Finck:
Joining Emission Data from Diverse Economic Activity Taxonomies with Evolution Strategies. 415-429 - 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. 430-444 - Omaimah Al Hosni, Andrew J. Starkey:
Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data? 445-462 - Riccardo Ughi, Eugenio Lomurno, Matteo Matteucci:
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning. 463-478 - Dennis Maier, Matthias L. Hemmje, Zoran Kikic, Frank Wefers:
Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations. 479-487 - Louis Falissard, Séverine Affeldt, Mohamed Nadif:
Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations. 488-496 - Alessio Bonfiglio, Marco Cannici, Matteo Matteucci:
SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation. 497-511
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