Todas as publicações sorted by author


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Marko Niinimäki, Xin Zhou, Adrien Depeursinge and Henning Müller, Plug-in Grid: A virtualized grid Cluster, in: MICCAI workshop on HealthGrids, páginas 74--83, 2009
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Volker Nissen, Maik Günther and René Schumann, Integrated Generation of Working Time Models and Staff Schedules in Workforce Management, in: EvoApplications (2): Applications of Evolutionary Computation - EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II, páginas 491--500, Springer, 2011
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Laura O' Mahony, Vincent Andrearczyk, Henning Müller and Mara Graziani, Disentangling Neuron Representations with Concept Vectors, in: Proceedings of the 2nd Explainable AI for Computer Vision (XAI4CV) Workshop at CVPR 2023, 2023
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Philipp Oggier, Henning Müller and Adrien Depeursinge, Mobile image upload for radiology, in: Studies in Health Technology and Informatics, Copenhagen, Denmark, páginas 1003, 2013
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Alex Carmine Olivieri, Sokhn Maria and Roland Schegg, Cityzen: a Social Platform for Cultural Heritage Focused Tourism, in: Proceedings of the International ACM Conference on Management of Digital EcoSystems (MEDES'16), Hendaye (France), páginas 1-8, 2016
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Alex Carmine Olivieri, Shaban Shabani, Zhan Liu and Sokhn Maria, Enhancing Cultural Heritage Information through Selective Crowdsourcing, in: 9th IEEE International Conference on Advanced Computer Science and Information Systems, Jakarta - Indonesia, 2017
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Alex Carmine Olivieri, Shaban Shabani, Sokhn Maria and Cudré-Mauroux Philippe, Creating Task-Generic Features for Fake News Detection, in: Proceedings of the 53nd Annual Hawaii International Conference on System Sciences (HICSS 2019), Maui, USA, 2019
Alex Carmine Olivieri, Shaban Shabani, Sokhn Maria and Cudré-Mauroux Philippe, Assessing Data Veracity through Domain Specific Knowledge Base Inspection, in: 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS), Jakarta - Indonesia, 2017
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Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan and Henning Müller, Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology (2019), in: Frontiers in Bioengineering and Biotechnology-Bioinformatics and Computational Biology
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Sebastian Otalora, Oscar Perdomo, Manfredo Atzori, Mats Andersson, Martin Hedlund and Henning Müller, Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018
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Elia Pacioni, Valerio Crocetti and Davide Calvaresi, Toward Intelligent Skill Discovery in A2A via Fine-Tuned Small Language Models, in: 24th International Conference of the Italian Association for Artificial Intelligence, AIxIA, Perugia (Italy), Springer, 2026
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Elia Pacioni, Valerio Crocetti, Andrei C. Coman, Davide Calvaresi, Gaetano Manzo and Michael Schumacher, Autonomous Skill Development: Neuro-Symbolic Agents that Self-Generate Verifiable Tools, in: 24th International Conference of the Italian Association for Artificial Intelligence, Perugia, Springer, 2026
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Elia Pacioni and Francisco Fernández de Vega, A Framework for Comparing SATB Harmonization Approaches, in: Genetic and Evolutionary Computation Conference (GECCO Companion ’26), San Jose, Costa Rica, ACM, 2026
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Elia Pacioni and Francisco Fernández de Vega, Combining local search and directed mutation in evolutionary approaches to 4-part harmony, in: Artificial Intelligence in Music, Sound, Art and Design: 14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Trieste, Italy, páginas 141-155, Springer, 2025
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Elia Pacioni, Francisco Fernández de Vega and Davide Calvaresi, Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART, Porto, Portugal, páginas 1427-1431, Springer, 2025
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Elia Pacioni, Francisco Fernández de Vega and Davide Calvaresi, FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with non-IID data, in: Applications of Evolutionary Computation: 28th European Conference EvoApplications 2025 Helds as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Trieste, Italy, páginas 419–434, Springer, 2025
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João Palotti, Allan Hanbury and Henning Müller, Exploiting Health Related Features to Infer User Expertise in the Medical Domain, in: Web Search and Data Mining workshop, New York City, NY, USA, 2014
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