LOD (1)

Keyphrases

Publications

volume 14505, 2024

Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I LOD (1) 14505 (2024)

2023

Akhila Atmakuru, Giuseppe Di Fatta, Giuseppe Nicosia, Atta Badii
Improved Filter-Based Feature Selection Using Correlation and Clustering Techniques. LOD (1) (2023)
Alexander Nasuta, Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt
Reward Shaping for Job Shop Scheduling. LOD (1) (2023)
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)
Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck
Co-imagination of Behaviour and Morphology of Agents. LOD (1) (2023)
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. LOD (1) (2023)
Alessio Bonfiglio, Marco Cannici, Matteo Matteucci
SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation. LOD (1) (2023)
Margarita Zaleshina, Alexander Zaleshin
Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets. LOD (1) (2023)
Fitria Wulandari Ramlan, James McDermott
Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data. LOD (1) (2023)
Rakesh Sengupta, Surampudi Bapi Raju, Anindya Pattanayak
Exploring Emergent Properties of Recurrent Neural Networks Using a Novel Energy Function Formalism. LOD (1) (2023)
Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. LOD (1) (2023)
Omaimah Al Hosni, Andrew J. Starkey
Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data? LOD (1) (2023)
Stanislav Selitskiy
"It Looks All the Same to Me": Cross-Index Training for Long-Term Financial Series Prediction. LOD (1) (2023)
Georgios Cheirmpos, Seyed Amin Tabatabaei, Evangelos Kanoulas, Georgios Tsatsaronis
Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text. LOD (1) (2023)
Silvia Arellano, Beatriz Otero, Tomasz Piotr Kucner, Ramon Canal
A 3D Terrain Generator: Enhancing Robotics Simulations with GANs. LOD (1) (2023)
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. LOD (1) (2023)
Michael Hellwig, Steffen Finck
Joining Emission Data from Diverse Economic Activity Taxonomies with Evolution Strategies. LOD (1) (2023)
Riccardo Ughi, Eugenio Lomurno, Matteo Matteucci
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning. LOD (1) (2023)
Gail Gilboa-Freedman
The Price of Data Processing: Impact on Predictive Model Performance. LOD (1) (2023)
Louis Falissard, Séverine Affeldt, Mohamed Nadif
Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations. LOD (1) (2023)
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)
Srijoni Majumdar, Evangelos Pournaras
Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning. LOD (1) (2023)
Dennis Maier, Matthias L. Hemmje, Zoran Kikic, Frank Wefers
Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations. LOD (1) (2023)
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)
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)
Sahib Julka, Rodion Ishmukhametov, Michael Granitzer
Deep Active Learning with Concept Drifts for Detection of Mercury's Bow Shock and Magnetopause Crossings. LOD (1) (2023)
Rodica Ioana Lung, Mihai-Alexandru Suciu
An Evolutionary Approach to Feature Selection and Classification. LOD (1) (2023)
Jirí Novák, Peter Chudý
Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach. LOD (1) (2023)
Nicolò Bellarmino, Riccardo Cantoro, Giovanni Squillero
U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration. LOD (1) (2023)
Alireza Hajebrahimi, Michael Evan Santoso, Mate Kovacs, Victor V. Kryssanov
Few-Shot Learning for Character Recognition in Persian Historical Documents. LOD (1) (2023)
Nándor Bándi, Noémi Gaskó
Solving Continuous Optimization Problems with a New Hyperheuristic Framework. LOD (1) (2023)
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)
Sahib Julka, Michael Granitzer
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping. LOD (1) (2023)
Ameya Gujar, Tanu Gupta, Sudip Roy
Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region. LOD (1) (2023)
Ang Li, Peter J. Stuckey, Sven Koenig, T. K. Satish Kumar
A FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality. LOD (1) (2023)
Vedat Dogan, Steven D. Prestwich
Bilevel Optimization by Conditional Bayesian Optimization. LOD (1) (2023)
Jose E. Aguilar Escamilla, Dimitrios I. Diochnos
Perceptrons Under Verifiable Random Data Corruption. LOD (1) (2023)
Vera Kalinichenko
Leverage Mathematics' Capability to Compress and Generalize as Application of ML Embedding Extraction from LLMs and Its Adaptation in the Automotive Space. LOD (1) (2023)

volume 13810, 2023

Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I LOD (1) 13810 (2023)

2022