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Author search results
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- Mario A. Muñoz
aka: Mario Andrés Muñoz, Mario Andrés Muñoz Acosta
The University of Melbourne, Parkville, Australia - Hugo A. López 0001
aka: Hugo-Andrés López 0001, Hugo-Andrés López-Acosta
Technical University of Denmark, Department of Mathematics and Computer Science, Denmark - Camilo Andrés Ospina Acosta
- Andres Acosta Rodriguez
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Publication search results
found 145 matches
- 2024
- Fernando Vásquez-Iturralde, Marco J. Flores-Calero, Felipe Grijalva, Andrés Rosales-Acosta:
Automatic Classification of Cardiac Arrhythmias Using Deep Learning Techniques: A Systematic Review. IEEE Access 12: 118467-118492 (2024) - Nicolau Andrés-Thió, Mario Andrés Muñoz, Kate Smith-Miles:
Characterising harmful data sources when constructing multi-fidelity surrogate models. Artif. Intell. 336: 104207 (2024) - Francisco Javier Iniguez-Lomeli, Edgar Eliseo Franco-Ortiz, Ana Maria Silvia Gonzalez-Acosta, Andrés-Amador García-Granada, Horacio Rostro-González:
A Comprehensive Exploration of Unsupervised Classification in Spike Sorting: A Case Study on Macaque Monkey and Human Pancreatic Signals. Algorithms 17(6): 235 (2024) - Stefan Paula, Andres Acosta, Naiki Judge, Stephanie Ramirez, Amaan Sandhu, David Deamer:
Modelling energy-harvesting processes in primitive cells: Proton transport across bilayers driven by the oxidation of sulfite. Biosyst. 238: 105189 (2024) - Hossein Alipour, Mario Andrés Muñoz, Kate Smith-Miles:
On the impact of initialisation strategies on Maximum Flow algorithm performance. Comput. Oper. Res. 163: 106492 (2024) - João Luiz Junho Pereira, Kate Smith-Miles, Mario Andrés Muñoz, Ana Carolina Lorena:
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. Data Min. Knowl. Discov. 38(2): 461-500 (2024) - Sezin Sayin, You Zhou, Sheng Wang, Andres Acosta Rodriguez, Mona E. Zaghloul:
Development of Liquid-Phase Plasmonic Sensor Platforms for Prospective Biomedical Applications. Sensors 24(1): 186 (2024) - Marco Franceschetti, Amine Abbad Andaloussi, Clemens Schreiber, Hugo A. López, Barbara Weber:
Exploring the Cognitive Effects of Ambiguity in Process Models. BPM 2024: 493-510 - Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems. GECCO Companion 2024: 559-562 - Marcus Gallagher, Mario A. Muñoz:
Towards an Improved Understanding of Features for More Interpretable Landscape Analysis. GECCO Companion 2024: 135-138 - Behzad Moradi, Michael Kirley, Mario Andrés Muñoz Acosta:
Sensitivity Analysis of Surrogate-assisted Bilevel Optimisation. GECCO Companion 2024: 411-414 - Anthony Rasulo, Kate Smith-Miles, Mario A. Muñoz, Julia Handl, Manuel López-Ibáñez:
Extending Instance Space Analysis to Algorithm Configuration Spaces. GECCO Companion 2024: 147-150 - Kate Smith-Miles, Mario Andrés Muñoz, Sevvandi Kandanaarachchi:
Instance Space Analysis and Item Response Theory for Algorithm Testing. GECCO Companion 2024: 1369-1390 - Nicolau Andrés-Thió, Mario Andrés Muñoz, Kate Smith-Miles:
Characterising harmful data sources when constructing multi-fidelity surrogate models. CoRR abs/2403.08118 (2024) - Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz:
An Item Response Theory-based R Module for Algorithm Portfolio Analysis. CoRR abs/2408.14025 (2024) - 2023
- Iris Beerepoot, Claudio Di Ciccio, Hajo A. Reijers, Stefanie Rinderle-Ma, Wasana Bandara, Andrea Burattin, Diego Calvanese, Tianwa Chen, Izack Cohen, Benoît Depaire, Gemma Di Federico, Marlon Dumas, Christopher G. J. van Dun, Tobias Fehrer, Dominik Andreas Fischer, Avigdor Gal, Marta Indulska, Vatche Isahagian, Christopher Klinkmüller, Wolfgang Kratsch, Henrik Leopold, Amy Van Looy, Hugo A. López, Sanja Lukumbuzya, Jan Mendling, Lara Meyers, Linda Moder, Marco Montali, Vinod Muthusamy, Manfred Reichert, Yara Rizk, Michael Rosemann, Maximilian Röglinger, Shazia Sadiq, Ronny Seiger, Tijs Slaats, Mantas Simkus, Ida Asadi Someh, Barbara Weber, Ingo Weber, Mathias Weske, Francesca Zerbato:
The biggest business process management problems to solve before we die. Comput. Ind. 146: 103837 (2023) - Kate Smith-Miles, Mario Andrés Muñoz:
Instance Space Analysis for Algorithm Testing: Methodology and Software Tools. ACM Comput. Surv. 55(12): 255:1-255:31 (2023) - Hossein Alipour, Mario Andrés Muñoz, Kate Smith-Miles:
Enhanced instance space analysis for the maximum flow problem. Eur. J. Oper. Res. 304(2): 411-428 (2023) - Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
An Instance Space Analysis of Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 27(5): 1427-1439 (2023) - Neelofar, Kate Smith-Miles, Mario Andrés Muñoz, Aldeida Aleti:
Instance Space Analysis of Search-Based Software Testing. IEEE Trans. Software Eng. 49(4): 2642-2660 (2023) - Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems. AI (1) 2023: 429-441 - Juan F. Diaz, Hugo A. López, Luis Quesada, Juan C. Rosero:
Pareto-Optimal Trace Generation from Declarative Process Models. Business Process Management Workshops 2023: 314-325 - Thomas T. Hildebrandt, Hugo A. López, Tijs Slaats:
Declarative Choreographies with Time and Data. BPM (Forum) 2023: 73-89 - Andrés Solano-Barliza, Melisa Acosta-Coll, José Escorcia-Gutierrez, Emiro de la Hoz Franco, Isabel Arregocés-Julio:
Hybrid Recommender System Model for Tourism Industry Competitiveness Increment. CISIM 2023: 209-222 - Lucien Kiven Tamo, Amine Abbad Andaloussi, Dung My Thi Trinh, Hugo A. López:
An Open-Source Modeling Editor for Declarative Process Models. CoopIS (Demos) 2023: 21-25 - Dung My Thi Trinh, Amine Abbad Andaloussi, Hugo A. López:
On the Semantic Transparency of Declarative Process Models: The Case of Constraints. CoopIS 2023: 217-236 - Marco Franceschetti, Ronny Seiger, Hugo A. López, Andrea Burattin, Luciano García-Bañuelos, Barbara Weber:
A Characterisation of Ambiguity in BPM. ER 2023: 277-295 - Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov:
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO 2023: 529-537 - Diego Acosta-Ugalde, Santiago Enrique Conant-Pablos, Claudia Camacho-Zuñiga, Andrés Eduardo Gutiérrez-Rodríguez:
Data Mining and Analysis of NLP Methods in Students Evaluation of Teaching. MICAI (2) 2023: 28-38 - Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov:
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR abs/2306.00479 (2023)
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