Topic: Institute of Informatics (II) - HES SO Valais Publications

Banani Anuraj, Agent-Based Orchestration on a Swarm of Edge Devices, in: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, Neuchatel, Switzerland, pages 199–202, Association for Computing Machinery, 2023

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Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze-Le-Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallìères, Dimitris Visvikis, Mathieu Hatt and Adrien Depeursinge, Automatic Head and Neck Tumor Segmentation and Outcome Prediction Relying on FDG-PET/CT Images: Findings from the Second Edition of the HECKTOR Challenge (2023), in: Medical Image Analysis, 90:1(102972)

[]: IF 2022: 10.9

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Abdeljalil Abbas-Turki, Yazan Mualla, nicolas gaud, Davide Calvaresi, wendan du, alexandre lombard, Mahjoub Dridi and Abder Koukam, Autonomous intersection management_ optimal Trajectories, and Efficient Scheduling (2023), in: MDPI Sensors

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Jean-Paul Calbimonte, Andrei Ciortea, Timotheus Kampik, Simon Mayer, Terry R. Payne, Valentina Tamma and Antoine Zimmermann, Autonomy in the Age of Knowledge Graphs: Vision and Challenges (2023), in: Transactions on Graph Data and Knowledge, 1:1(13:1--13:22)

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Gaetano Manzo, Yvan Pannatier, Patrick Duflot, Philippe Kolh, Marcela Chavez, Valérie Bleret, Davide Calvaresi, Oscar Jimenez del Toro, Michael Schumacher and Jean-Paul Calbimonte, Breast cancer survival analysis agents for clinical decision support (2023), in: Computer Methods and Programs in Biomedicine, 231(107373)

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Emanuele Gagliardi, Gabriele Bernardini, Enrico Quagliarini, Michael Schumacher and Davide Calvaresi, Characterization and future perspectives of Virtual Reality Evacuation Drills for safe built environments: A Systematic Literature Review (2023), in: Journal of Safety Science

Jean-Paul Calbimonte, Orfeas Aidonopoulos, Fabien Dubosson, Benjamin Pocklington, Ilia Kebets, Pierre-Mikael Legris and Michael Schumacher, Decentralized semantic provision of personal health streams (2023), in: Journal of Web Semantics, 76(100774)

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Gözde Ayşe Tataroğlu Özbulak, Decentralized Stream Reasoning Agents, in: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, Neuchatel, Switzerland, pages 203–206, Association for Computing Machinery, 2023

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Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydoğan, Rachele Carli, giovanni ciatto, Yazan Mualla and Kary Främling, Explainable and Transparent AI and Multi-Agent Systems, Springer, 2023

Victor H. Contreras, Andrea Bagante, Niccolò Marini, Michael Schumacher, Vincent Andrearczyk and Davide Calvaresi, Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification, in: Explainable and Transparent AI and Multi-Agent Systems, 2023

Davide Calvaresi, Stefan Eggenschwiler, Yazan Mualla, Michael Schumacher and Jean-Paul Calbimonte, Exploring agent-based chatbots: a systematic literature review (2023), in: Journal of Ambient Intelligence and Humanized Computing

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Federico Spagnolo, Roger Schaer, Vincent Andrearczyk, Nataliia Molchanova, Mara Graziani, Henning Müller, Meritxell Bach Cuadra, Cristina Granziera and Adrien Depeursinge, FLAIR vs MPRAGE contribution to white matter lesion automatic segmentation in MS using localized saliency maps, in: Bern Interpretable AI Symposium (BIAS), 2023

Federico Spagnolo, Adrien Depeursinge, Henning Müller, Aysenur Akbulut, Muhamed Barakovic, Lester Melie-Garcia, Sabine Schädelin and Cristina Granziera, How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review (2023), in: NeuroImage: Clinical, 39(103491)

[]: IF 2022: 4.2

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Federico Spagnolo, Adrien Depeursinge, Vincent Andrearczyk, Pascal Benkert, Stefanie Müller, Lutz Achtnichts, Jochen Vehoff, Giulio Di Santo, Oliver Findling, Andrew Chan, Anke Salmen, Caroline Pot, Claire Bridel, Chiara Zecca, Tobias Johannes Derfuss, Johanna M. Lieb, Luca Remonda, Franca Wagner, Maria-Isabel Vargas Gomez, Renaud Du Pasquier, Patrice Lalive, Emanuele Pravatà, Johannes Weber, Claudio Gobbi, David Leppert, Nataliia Molchanova, Meritxell Bach Cuadra, Po-Jui Lu, Mario Ocampo-Pineda, Lester Melie-Garcia, Cagol Alessandro, Ludwig Kappos, Jens Kuhle and Cristina Granziera, Identification of paramagnetic rim lesions using conventional MRI - a deep learning approach, in: 39th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2023

Benjamin Nanchen, Chester Civelli and Zhan Liu, Modèle de développement d’une plateforme numérique collaborative pour le FALC, pages 47-63, Revue suisse de pédagogie spécialisée (SZH/CSPS), 2023

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Mario Martínez-Zarzuela, Javier González-Alonso, Míriam Antón-Rodríguez, Francisco J Díaz-Pernas, Henning Müller and Cristina Simon-Martinez, Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (2023), in: Scientific Data

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Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallìères, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt and Adrien Depeursinge, Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT, pages 1-30, Springer, Cham, 2023

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Daniel Abler, Roger Schaer, Valentin Oreiller, Himanshu Verma, Julien Reichenbach, Orfeas Aidonopoulos, Florian Evéquoz, Mario Jreige, John O. Prior and Adrien Depeursinge, QuantImage v2: A Comprehensive and Integrated Physician-Centered Cloud Platform for Radiomics and Machine Learning Research (2023), in: European Radiology Experimental, 7:16

[]: IF 2022: 3.75

Krešimir Kušić, René Schumann, Martin Gregurić, Edouard Ivanjko and Marko Šoštarić, Reliable learning-based controllers and how structured simulation is a path towards them, in: Proceedings of 5th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2023), TENERIFE (CANARY ISLANDS), SPAIN, pages 268 -- 274, 2023

Himanshu Verma, Jakub Mlynar, Roger Schaer, Julien Reichenbach, Mario Jreige, John O. Prior, Florian Evéquoz and Adrien Depeursinge, Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows, in: ACM CHI 2023, 2023

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Gaetano Manzo, Yvan Pannatier, Gabriel Autès, Michaël De Lucia, Jean-Gabriel Piguet and Jean-Paul Calbimonte, Serendipity and Diversity Boosting for Personalized Streaming Media Recommendation, in: Proceedings of the 13th Italian Information Retrieval Workshop {(IIR} 2023), Pisa, Italy, June 8-9, 2023, pages 30--40, CEUR-WS.org, 2023

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Jakub Mlynar, Grace Eden and Florian Evéquoz, Stopping Aside: Pedestrians’ Practice for Giving Way to a Self-Driving Shuttle (2023), in: Social Interaction: Video-Based Studies of Human Sociality, 6:1

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Fernanda Martinez, Diego Collarana, Davide Calvaresi, Martin Arispe, Carla Florida and Jean-Paul Calbimonte, Study-Buddy: A Knowledge Graph-Powered Learning Companion for School Students, in: The Semantic Web: ESWC 2023 Satellite Events, pages 133--137, Springer Nature Switzerland, 2023

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Gaetano Manzo, Benjamin Pocklington, Yvan Pannatier, Cathy Gay, Anjani Dhrangadhariya, Sophie Carrard, Roger Hilfiker and Jean-Paul Calbimonte, Towards Semantic Modeling of Patient Trajectories for Rehabilitation of Osteoarthritis, in: 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences ({SWAT4HCLS}), pages 135--136, 2023

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Anne-Dominique Salamin and Zhan Liu, University Examinations: How New Generation Learners Design Their Own Revising Process, in: EDEN 2023 Annual Conference, EDEN DIGITAL LEARNING EUROPE, Dublin, Ireland, 2023

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Saul Albert, Hendrik Buschmeier, Katharina Cyra, Christiane Even, Magnus Hamann, Christian Licoppe, Jakub Mlynar, Hannah Pelikan, Martin Porcheron, Stuart Reeves, Damien Rudaz, Philippe Sormani and Sylvaine Tuncer, What "counts" as explanation in social interaction?, 2nd TRR 318 Conference Measuring Understanding, University of Paderborn, Paderborn, Germany, 2023

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Zhan Liu, Shaban Shabani, Xianyun Yu, Sokhn Maria and Nicole Glassey Balet, A Collaborative Intelligence Approach to Fighting COVID-19 False News: A Chinese Case, in: 15th International Conference on Human-Centered Intelligent Systems, KES, Rhodes, Greece, pages 3-12, Springer Nature, 2022

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Victor H. Contreras, Niccolò Marini, Lora Fanda, Gaetano Manzo, Yazan Mualla, Jean-Paul Calbimonte, Michael Schumacher and Davide Calvaresi, A DEXiRE for Extracting Propositional Rules from Neural Networks via Binarization (2022), in: MDPI Electronics, 11:24

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Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, Jose Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro H. Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk and Henning Müller, A Global Taxonomy of Interpretable AI: Unifying the Terminology for the Technical and Social Sciences (2022), in: Artificial Intelligence Review, 56(3473–3504)

Jakub Mlynar, Farzaneh Bahrami, Andre Ourednik, Nico Mutzner, Himanshu Verma and Hamed Alavi, AI beyond Deus ex Machina – Reimagining Intelligence in Future Cities with Urban Experts, in: CHI Conference on Human Factors in Computing Systems (CHI '22), April 29-May 5, 2022, New Orleans, LA, USA, ACM, 2022

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Kyriakos Flouris, Oscar Jimenez del Toro, Christoph Aberle, Michael Bach, Roger Schaer, Markus Obmann, Bram Stieltjes, Henning Müller, Adrien Depeursinge and Ender Konukoglu, Assessing radiomics feature stability with simulated CT acquisitions (2022), in: Scientific Reports, 12:1(4732)

[]: IF 2020 = 4.379

Zhan Liu and Nicole Glassey Balet, Bringing Big Data into Media: A Decision-Making Model for Targeting Digital News Content, in: 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD), Online, pages 218-223, IEEE, 2022

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Krešimir Kušić, René Schumann and Edouard Ivanjko, Building a Motorway Digital Twin in SUMO: Real-Time Simulation of Continuous Data Stream from Traffic Counters,, in: Proceedings of the 2022 International Symposium ELMAR, Zadar, Croatia, pages 71 -- 76, IEEE, 2022

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Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, R. De Crevoisier, Martin Vallìères, Mario Jreige, John O. Prior and Adrien Depeursinge, Cleaning Radiotherapy Contours for Radiomics Studies, is it Worth it? A Head and Neck Cancer Study (2022), in: Clinical and Translational Radiation Oncology, 33(153-158)

[]: IF 2021 = 4.739

Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes and Adrien Depeursinge, Comparison of MR preprocessing strategies and sequences for radiomics-based MGMT prediction, in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (MICCAI/BrainLes 2021), Cham, pages 367–380, Springer International Publishing, 2022

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Florian Evéquoz, Johan Rochel, Vijay Keswani and L. Elisa Celis, Diverse Representation via Computational Participatory Elections - Lessons from a Case Study, in: Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’22), ACM, Arlington, VA, 2022

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Florian Evéquoz, Johan Rochel, Vijay Keswani and L. Elisa Celis, Diverse Representation via Computational Participatory Elections -- Lessons from a Case Study (2022), in: arXiv

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Davide Calvaresi, Rachele Carli, Jean-Gabriel Piguet, Victor H. Contreras, Gloria Luzzani, Amro Najjar, Jean-Paul Calbimonte and Michael Schumacher, Ethical and Legal Considerations for Nutrition Virtual Coaches Ethical and Legal Considerations for Nutrition Virtual Coaches (2022), in: AI and Ethics

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Davide Calvaresi, Khoa Nguyen and René Schumann, GB-Flex: Automated and Distributed Decision-Making in Energy Balancing Groups, in: Proceedings of Energy Informatics 2022, 2022

Francesco Di Blasi and Valentino Piana, Green new cities: PNRR and Green New Deal - interview with Valentino Piana (2022), in: Zeta Luiss

Head and Neck Tumor Segmentation and Outcome Prediction, Springer International Publishing, 2022

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Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Hesham Elhalawani, Sarah Boughdad, Catherine Cheze-Le-Rest, John O. Prior, Mathieu Hatt and Adrien Depeursinge, HEad and neCK TumOR segmentation and outcome prediction: The HECKTOR challenge, in: European Society of Radiology, 2022

Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joel Castelli, Martin Vallìères, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior and Adrien Depeursinge, Head and Neck Tumor Segmentation in PET/CT: The HECKTOR Challenge (2022), in: Medical Image Analysis, 77(102336)

[]: IF 2020 = 8.545

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Jakub Mlynar, Jiri Kocian and Karin Hofmeisterova, How “Tools” Produce “Data”: Searching in a Large Digital Corpus of Audiovisual Holocaust Testimonies, in: Jewish Studies in the Digital Age, pages 65-88, De Gruyter Oldenbourg, 2022

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Jakub Mlynar, How is Oral History Possible? On Linguistically Universal and Topically Specific Knowledge (2022), in: The Oral History Review

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