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Publication search results
found 38 matches
- 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] - 2023
- Silvia Arellano, Beatriz Otero, Tomasz Piotr Kucner, Ramon Canal:
A 3D Terrain Generator: Enhancing Robotics Simulations with GANs. LOD (1) 2023: 212-226 - Akhila Atmakuru, Giuseppe Di Fatta, Giuseppe Nicosia, Atta Badii:
Improved Filter-Based Feature Selection Using Correlation and Clustering Techniques. LOD (1) 2023: 379-389 - Nándor Bándi, Noémi Gaskó:
Solving Continuous Optimization Problems with a New Hyperheuristic Framework. LOD (1) 2023: 116-130 - 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 - 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 - 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 - 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 - 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 - Sahib Julka, Michael Granitzer:
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping. LOD (1) 2023: 68-77 - 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: 390-404 - 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: 15-23 - 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: 158-173 - Rodica Ioana Lung, Mihai-Alexandru Suciu:
An Evolutionary Approach to Feature Selection and Classification. LOD (1) 2023: 333-347 - Dennis Maier, Matthias L. Hemmje, Zoran Kikic, Frank Wefers:
Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations. LOD (1) 2023: 479-487 - Srijoni Majumdar, Evangelos Pournaras:
Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning. LOD (1) 2023: 1-14 - Alexander Nasuta, Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt:
Reward Shaping for Job Shop Scheduling. LOD (1) 2023: 197-211 - Jirí Novák, Peter Chudý:
Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach. LOD (1) 2023: 104-115 - 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: 288-302 - 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: 274-287 - Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna:
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. LOD (1) 2023: 78-92 - Fitria Wulandari Ramlan, James McDermott:
Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data. LOD (1) 2023: 142-157
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