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| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1400 | 1401-1450 | 1451-1500 | 1501-1550 | 1551-1600 | 1601-1650 | 1651-1700 | 1701-1750 | 1751-1800 | 1801-1850 | 1851-1900 | 1901-1950 | 1951-2000 | 2001-2050 | 2051-2100 | 2101-2150 | 2151-2200 | 2201-2250 | 2251-2300 | 2301-2350 | 2351-2400 | 2401-2450 | 2451-2500 | 2501-2550 | 2551-2600 | 2601-2650 | 2651-2700 | 2701-2750 | 2751-2800 | 2801-2850 | 2851-2900 | 2901-2950 | 2951-3000 | 3001-3015 |

Elia Pacioni and Francisco Fernández de Vega, A Framework for Comparing SATB Harmonization Approaches, in: ACM GECCO 2026 (GECCO ’26 Companion)., ACM, 2026

Gianluca Rizzo, Floating Gossip: Serverless Distributed Learning in Dynamic Scenarios (2026), in: IEEE Transactions on Mobile Computing

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Gianluca Rizzo and Berk Buzcu, Advances on Unified Architecture for Open RAN-Enabled Distributed and Scalable 6G Networks, IEEE, 2026

Desirè Fabbretti, Matteo Pasquino, Elia Pacioni, Caterina Lucarelli and Davide Calvaresi, Evolutionary Rule Extraction from Corporate Default Prediction Models, in: EXTRAAMAS 2026, 2026

Elia Pacioni, Célien Müller, Francisco Fernández de Vega and Davide Calvaresi, FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios, 2026

Amy Liffey, René Schumann, Sylvain Weber and Mehdi Farsi, The Swiss Household Energy Demand Survey: Panel updates and evidence after eight waves, IRENE Working Papers 26-05, IRENE Institute of Economic Research, 2026

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Banani Anuraj, Jean-Marie Aerts and Jean-Paul Calbimonte, An Edge-Enabled Web of Things Framework for Home Rehabilitation Monitoring of Older Adults (2026), in: IEEE Access, 14(39294--39306)

[DOI]

Mario Trerotola, Mimmo Parente and Davide Calvaresi, A Hybrid Multi-Agent System for Early Scam Detection in Crypto-Assets (2026), in: Applied Sciences - MDPI

Lasse Hansen, Wiebke Heyer, Christoph Grossbröhmer, Frederic Madesta, Thilo Sentker, Wang Jiazheng, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Houachine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony Chi Wing Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra Golby, Aaron Carass, Harrison Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering and Mattias Heinrich, Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges (2025), in: Hansen et al. 2025 / Melba Journal - Machine Learning for Biomedical Imaging, Volume 3

[DOI]

Mélanie Champendal, Belinda Lokaj, Valentin Durand de Gevigney, Gaël Brulé, Polina Boiko, Christian Lovis, Henning Müller, Jérôme Schmid and Ricardo Teresa Ribeiro, Exploring environmental sustainability of artificial intelligence in radiology: A scoping review (2026), in: European Journal of Radiology, Volume 194

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Myrthe Buser, Dominique C. Simons, Matthijs Fitski, Marc H. W. A. Wijnen, Annemieke S. Littooij, Annemiek H. ter Brugge, Iris N. Vos, Markus H. A. Janse, Mathijs de Boer, Junya Sato, Shoji Kido, Satoshi Kondo, Marek Wodzinski, Henning Müller, Jin Ye, Junjun He, Yannick Kirchhoff, Maximilian R. Rokkus, Gao Haokai, Matias Fernandez-Paton, Diana Viaga-Canuto, David G. Ellis, Michele R. Aizenberg, Bas H. M. van der Velden, Hugo Kuijf, Alberto de Luca and Alida F. W. van der Steeg, Automated segmentation of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023, MDPI Bioengineering, 2025 (2025), in: MDPI Bioengineering, nov. 25

[DOI]

Matej Vitek, Darian Tomašević, Abhijit Das, Sabari Nathan, Gökhan Özbulak, Gözde Ayşe Tataroğlu Özbulak, Jean-Paul Calbimonte, André Anjos, Hariohm Bhatt, Dhruv Premani, J. Chaudhari, C. Wang, J. Jiang, C. Zhang, Q. Zhang, I. I. Ganapathi, S. S. Ali, D. Velayudan, M. Assefa, N. Werghi, Z. A. Daniels, L. John, R. Vyas, J. N. Khiarak, T. A. Saeed, M. Nasehi, A. Kianfar, M. P. Panahi, G. Sharma, P. R. Panth, R. Ramachandra, A. Nigam, U. Pal, P. Peer and V. Štruc, Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025, in: 2025 IEEE International Joint Conference on Biometrics (IJCB), pages 1--13, IEEE, 2025

[DOI]

Gözde Ayşe Tataroğlu Özbulak, Yash Raj Shrestha and Jean-Paul Calbimonte, CAST-GNN: Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via Graph Neural Networks, in: Proc. of the IEEE International Conference on Data Mining ICDM, pages 753--762, IEEE, 2025

[DOI]

Elia Pacioni, Andrei C. Coman, Davide Calvaresi, Gaetano Manzo and Michael Schumacher, Agent-based Hybrid AI Models and Technologies: A systematic Literature Review (2026), in: IEEE Access, 14(21148-21166)

[DOI]

Gianluca Rizzo and Saira Bano, GRAPE: Gossip-Based Representation Alignment Using Prototypical Embeddings for Heterogeneous IoT Device, Kuala Lumpur, IEEE, 2026

Henning Müller and Marek Wodzinski, Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge (2025), in: Arxiv

[DOI]

Henning Müller and Adrien Bertaud, KI-gestütztes Videomonitoring aquatischer Ökosysteme - Chancen, Grenzen und Praxisanforderungen (2025), in: Springer Pfofessional, Wasser Wirtschaft, 115(54-61)

[DOI]

Lasse Hansen, Christian Wachinger, Marek Wodzinski, Henning Müller, Mikael Brudfors, William M. Wells, Aaron Carass, Reuben Dorent, Alessa Hering and Mattias Heinrich, Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges (2025), in: Melba, Volume 3(775-791)

[DOI]

Mélanie Champendal, Christian Lovis, Henning Müller and Ricardo Teresa Ribeiro, Exploring environmental sustainability of artificial intelligence in radiology: A scoping review (2025), in: European Journal of Radiology

[DOI]

Henning Müller and Marek Wodzinski, Automated segmentation of pediatric neuroblastoma on multi-modal (2025), in: MDPI Bioengineering

[DOI]

Henning Müller, Manfredo Atzori, Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola and Louis Fabrice Tshimanga, TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection (2025), in: Elsevier

[DOI]

Henning Müller, Marek Wodzinski, Rina Bao, David G. Ellis and Michele R. Aizenberg, BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (2025), in: Publimed

[DOI]

Zhan Liu, Adrien Bertaud, Anne Darbellay and Nicole Glassey Balet, Intelligent Decision Support for Article Translation in Multilingual Newsrooms, in: 41th ACM/SIGAPP Symposium on Applied Computing, Thessaloniki, Greece, pages 806-814, ACM, 2026

[DOI]

Mélanie Champendal, Théo Coutaudier, Daphné Faist, Maeva Ryser, Joshua Schaefferkoetter, Maurizio Conti, Mario Jreige, Adrien Depeursinge, Lluis Borràs Ferrís, Claudia Dos Reis, John O. Prior, Henning Müller and Ricardo Teresa Ribeiro, Multi-Method eXplainability for Similarity Assessment in AI-Denoised PET Imaging, in: IEEE International Symposium on Biomedical Imaging (ISBI), 2026

Berk Buzcu, Laura Finarelli and Gianluca Rizzo, Energy-Aware Multi-Domain Orchestration Architecture for Sustainable 6G Networks (2026), in: IEEE WONS 2026

Grégory Mermoud, AI4SWEng manifest: Empowering the future of software engineering with advanced trustworthy artificial intelligence (2025), in: Open Research Europe, 5(352)

[DOI]
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Vincent Grèzes, Riccardo Bonazzi, Sherine Seppey and Sandra Grèzes, Quadruple Helix Open-Innovation Methodology for Sustainable Development Goals: A Case Study with an Association for Circular Economy in Switzerland, World Open Innovation Conference, WOIC 2025, 2025

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Vincent Grèzes, Comment promouvoir la durabilité de la mobilité touristique dans les destinations alpines ?, Cycle de conférences sur le tourisme durable organisé par l'Unil et l'Ito HES-SO Valais-Wallis, Unil, 2025

[URL]

Vincent Grèzes, Sandra Grèzes and Luisa Ehrenzeller, Shifting Gears: A Position Paper on Sustainable Tourism Mobility through Service Design, DeutschenGesellschaft für Tourismuswissenschafte (DGT), 28. Jahrestagungder DeutschenGesellschaft für Tourismuswissenschafte (DGT), 2025

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Gianluca Rizzo and Laura Finarelli, Communication Technologies for Intelligent Transportation Systems: From Railways to UAVs and Beyond (2025), in: JTIT

Gianluca Rizzo, Communication Technologies for Intelligent Transportation Systems: From Railways to UAVs and Beyond, COST, 2025

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Manel Lopez-Melia, Virginie Magnin, Sami Schranz, Vincent Andrearczyk, Adrien Depeursinge, Stéphane Marchand-Maillet and Silke Grabherr, Automatic rib fracture detection on postmortem CT data using deep learning (2025), in: International Journal of Legal Medicine

[DOI]

Banani Anuraj, Kirill Dorofeev, Jean-Marie Aerts and Jean-Paul Calbimonte, Web of Things Framework for Remote Health Monitoring of Older Adults, in: 2025 IEEE 45th International Conference on Distributed Computing Systems Workshops (ICDCSW), pages 171--176, IEEE, 2025

[DOI]
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Elia Pacioni and Francisco Fernández de Vega, Advancing 4-Part Evolutionary Harmony Through Analysis of Human–Machine Approaches to Teaching–Learning (2025), in: Complexity, 2025:1

[DOI]
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Louis Fabrice Tshimanga, Federico Del Pup, Maurizio Corbetta and Manfredo Atzori, An Overview of Open Source Deep Learning-Based Libraries for Neuroscience (2023), in: Applied Sciences, 13:9(5472)

Federico Del Pup and Manfredo Atzori, Applications of Self-Supervised Learning to Biomedical Signals: where are we now (2023)

Tommaso Giannantonio, Anna Alperovich, Piercosimo Semeraro, Manfredo Atzori, Xiaohan Zhang, Christoph Hauger, Alexander Freytag, Siri Luthman, Roeland Vandebriel, Murali Jayapala and others, Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging, in: Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis, SPIE, pages 74--92, 2023

Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori and Sanjeev Kumar, Active Surface Electromyogram (sEMG) Electrodes band with Enhanced Features based technique for Hand Gesture Classification (2023)

Louis Fabrice Tshimanga, Andrea Zanola, Silvia Facchini, Antonio Luigi Bisogno, Lorenzo Pini, Manfredo Atzori and Maurizio Corbetta, Behavioral Clusters in Ischemic Stroke based on NIHSS Similarity (2023), in: medRxiv(2023--11)

Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori and Sanjeev Kumar, Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique (2023), in: IEEE Sensors Journal

Federico Del Pup and Manfredo Atzori, Applications of Self-Supervised Learning to Biomedical Signals: a Survey (2023), in: IEEE Access

Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori and Sanjeev Kumar, Enhanced EMG-based hand gesture classification in real-world scenarios: Mitigating dynamic factors with tempo-spatial wavelet transform and deep learning (2024), in: IEEE Transactions on Medical Robotics and Bionics, 6:3(1202--1211)

Artur Jurgas, Marek Wodzinski, Marina D’Amato, Jeroen van der Laak, Manfredo Atzori and Henning Müller, Improving quality control of whole slide images by explicit artifact augmentation (2024), in: Scientific Reports, 14:1(17847)

Andrea Zanola, Federico Del Pup, Camillo Porcaro and Manfredo Atzori, BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories (2024), in: Journal of Neural Engineering, 21:4(046050)

Riccardo Fratti, Niccolò Marini, Manfredo Atzori, Henning Müller, Cesare Tiengo and Franco Bassetto, A multi-scale CNN for transfer learning in sEMG-based hand gesture recognition for prosthetic devices (2024), in: Sensors, 24:22(7147)

Parul Rani, Sidharth Pancholi, Vikash Shaw, Suraj Pandey, Manfredo Atzori and Sanjeev Kumar, Explainable AI-guided optimization of EMG channels and features for precise hand gesture classification: a SHAP-based study (2024), in: IEEE Transactions on Medical Robotics and Bionics

Federico Del Pup and Manfredo Atzori, Toward improving reproducibility in neuroimaging deep learning studies (2024), in: Frontiers in Neuroscience, 18(1509358)

Anna Matsulevits, Pedro Alvez, Manfredo Atzori, Ahmad Beyh, Maurizio Corbetta, Federico Del Pup, Lilit Dulyan, Chris Foulon, Thomas Hope, Stefano Ioannucci and others, A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes (2025), in: bioRxiv(2024--10)

Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo and Manfredo Atzori, The more, the better? Evaluating the role of EEG preprocessing for deep learning applications. (2025), in: IEEE Transactions on Neural Systems and Rehabilitation Engineering

Louis Fabrice Tshimanga, Andrea Zanola, Silvia Facchini, Antonio Luigi Bisogno, Lorenzo Pini, Manfredo Atzori and Maurizio Corbetta, Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network (2025), in: Journal of Healthcare Informatics Research(1--36)

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