@article{liarou:cytometry2026,
  author = {Liarou, Margarita and Matthes, Thomas and Marchand‐Maillet, Stéphane},
  title = {TimeFlow 2: An Unsupervised Cell Lineage Detection Method for Flow Cytometry Data},
  journal = {Cytometry Part A},
  publisher = {Wiley},
  year = {2026},
  doi = {https://doi.org/10.1002/cytoa.70006}
}

@inproceedings{reyes:sisap2025,
  author = {Reyes, Victor and Marchand-Maillet, Stephane},
  title = {Assessing the Quality of Dimensionality Reduction Methods Based on Fuzzy Simplicial Sets},
  booktitle = {Similarity Search and Applications},
  publisher = {Springer Nature Switzerland},
  year = {2026},
  pages = {85--93},
  doi = {https://doi.org/10.1007/978-3-032-06069-3_7}
}

@article{bini:arxiv2025,
  author = {Lorenzo Bini and Stéphane Marchand-Maillet},
  title = {LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations},
  journal = {CoRR},
  year = {2025},
  volume = {abs/2506.13344},
  url = {https://doi.org/10.48550/arXiv.2506.13344},
  doi = {https://doi.org/10.48550/ARXIV.2506.13344}
}

@article{bini:arxiv2025a,
  author = {Lorenzo Bini and Stéphane Marchand-Maillet},
  title = {Self-Supervised Graph Learning via Spectral Bootstrapping and Laplacian-Based Augmentations},
  journal = {CoRR},
  year = {2025},
  volume = {abs/2506.20362},
  url = {https://doi.org/10.48550/arXiv.2506.20362},
  doi = {https://doi.org/10.48550/ARXIV.2506.20362}
}

@inproceedings{bini:genbio2025,
  author = {Lorenzo Bini and Stéphane Marchand-Maillet},
  title = {LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations},
  booktitle = {ICML'2025 + GenBio Workshop: The Second Workshop on Generative AI and Biology},
  year = {2025},
  url = {https://doi.org/10.48550/arXiv.2506.13344},
  doi = {https://doi.org/10.48550/ARXIV.2506.13344}
}

@article{liarou:biorxiv2025a,
  author = {Liarou, Margarita and Matthes, Thomas and Marchand-Maillet, Stéphane},
  title = {TimeFlow: a density-driven pseudotime method for flow cytometry data analysis},
  publisher = {openRxiv},
  year = {2025},
  doi = {https://doi.org/10.1101/2025.02.16.638508}
}

@article{liarou:biorxiv2025b,
  author = {Liarou, Margarita and Matthes, Thomas and Marchand-Maillet, Stéphane},
  title = {TimeFlow 2: an unsupervised cell lineage detection method for flow cytometry data},
  publisher = {openRxiv},
  year = {2025},
  doi = {https://doi.org/10.1101/2025.11.01.685988}
}

@article{liarou:cytometry2025,
  author = {Liarou, Margarita and Matthes, Thomas and Marchand-Maillet, Stéphane},
  title = {TimeFlow: A Density-Driven Pseudotime Method for Flow Cytometry Data Analysis},
  journal = {Cytometry Part A},
  year = {2025},
  volume = {107},
  number = {4},
  pages = {233-247},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/cyto.a.24928},
  doi = {https://doi.org/10.1002/cyto.a.24928}
}

@article{zheng:njp2025,
  author = {Zheng, Yuanyuan and Bensahla, Adel and Bjelogrlic, Mina and Zaghir, Jamil and Turbe, Hugues and Bednarczyk, Lydie and Gaudet-Blavignac, Christophe and Ehrsam, Julien and Marchand-Maillet, Stéphane and Lovis, Christian},
  title = {A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data},
  journal = {npj Digital Medicine},
  publisher = {Springer Science and Business Media LLC},
  year = {2025},
  volume = {8},
  number = {1},
  doi = {https://doi.org/10.1038/s41746-025-01692-1}
}

@article{bini:arxiv2024a,
  author = {Lorenzo Bini and Fatemeh Nassajian Mojarrad and Margarita Liarou and Thomas Matthes and Stéphane Marchand-Maillet},
  title = {FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking},
  journal = {CoRR},
  year = {2024},
  volume = {abs/2403.00024},
  url = {https://doi.org/10.48550/arXiv.2403.00024},
  doi = {https://doi.org/10.48550/ARXIV.2403.00024}
}

@inproceedings{bini:chil2024,
  author = {Bini, Lorenzo and Mojarrad, Fatemeh Nassajian and Liarou, Margarita and Matthes, Thomas and Marchand-Maillet, Stéphane},
  title = {FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking},
  booktitle = {Conference on Health, Inference, and Learning (CHIL'24)},
  year = {2024},
  url = {https://arxiv.org/abs/2403.00024}
}

@article{bini:arxiv2024,
  author = {Lorenzo Bini and Fatemeh Nassajian Mojarrad and Thomas Matthes and Stéphane Marchand-Maillet},
  title = {HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention},
  journal = {CoRR},
  year = {2024},
  volume = {abs/2402.18611},
  url = {https://doi.org/10.48550/arXiv.2402.18611},
  doi = {https://doi.org/10.48550/ARXIV.2402.18611}
}

@article{bini:arxiv2024b,
  author = {Lorenzo Bini and Marco Sorbi and Stéphane Marchand-Maillet},
  title = {Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability},
  journal = {CoRR},
  year = {2024},
  volume = {abs/2409.03463},
  url = {https://doi.org/10.48550/arXiv.2409.03463},
  doi = {https://doi.org/10.48550/ARXIV.2409.03463}
}

@inproceedings{bini:ecai2025,
  author = {Lorenzo Bini and Marco Sorbi and Stéphane Marchand-Maillet},
  title = {Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability},
  booktitle = {European Conference on Artificial Intelligence (ECAI'2025)},
  year = {2024},
  url = {https://doi.org/10.48550/arXiv.2409.03463},
  doi = {https://doi.org/10.48550/ARXIV.2409.03463}
}

@inproceedings{bini:xai2024,
  author = {Lorenzo Bini and Marco Sorbi and Stéphane Marchand-Maillet},
  title = {Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability},
  booktitle = {ICLR'2025 Workshop XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge},
  year = {2024},
  url = {https://doi.org/10.48550/arXiv.2409.03463},
  doi = {https://doi.org/10.48550/ARXIV.2409.03463}
}

@inproceedings{bouillon:eamt2024,
  author = {Pierrette Bouillon and Christophe Chazalon and Sandra Coram-Mekkey and Gilles Falquet and Johanna Gerlach and Stéphane Marchand-Maillet and Laurent Moccozet and Jonathan Mutal and Raphael Rubino and Marco Sorbi},
  title = {RCnum: A Semantic and Multilingual Online Edition of the Geneva Council Registers from 1545 to 1550},
  booktitle = {Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), EAMT 2024, Sheffield, UK, June 24-27, 2024},
  publisher = {European Association for Machine Translation (EAMT)},
  year = {2024},
  pages = {21--22},
  url = {https://aclanthology.org/2024.eamt-2.11}
}

@phdthesis{dhrangadhariya:phd2024,
  author = {Dhrangadhariya, Anjani Kiritbhai},
  title = {Natural Language Processing and Deep Learning Approaches for Systematic Review (Semi-)Automation},
  publisher = {Université de Genève},
  year = {2024},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:178862}
}

@phdthesis{lavda:phd2024,
  author = {Lavda, Frantzeska},
  title = {Improving the capabilities of Variational Autoencoder Models by exploring their latent space},
  publisher = {Université de Genève},
  year = {2024},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:178589}
}

@article{lopezmelia:radiology2024,
  author = {Lopez-Melia, Manel and Magnin, Virginie and Marchand-Maillet, Stéphane and Grabherr, Silke},
  title = {Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis},
  journal = {British Journal of Radiology},
  publisher = {Oxford University Press (OUP)},
  year = {2024},
  volume = {97},
  number = {1155},
  pages = {535--543},
  doi = {https://doi.org/10.1093/bjr/tqae014}
}

@article{marchand:infosys2024,
  author = {Stéphane Marchand-Maillet and Edgar Chávez},
  title = {HubHSP graph: Capturing local geometrical and statistical data properties via spanning graphs},
  journal = {Information Systems},
  year = {2024},
  volume = {121},
  pages = {102341},
  url = {https://doi.org/10.1016/j.is.2023.102341},
  doi = {https://doi.org/10.1016/J.IS.2023.102341}
}

@article{mojarrad:arxiv2024,
  author = {Fatemeh Nassajian Mojarrad and Lorenzo Bini and Thomas Matthes and Stéphane Marchand-Maillet},
  title = {Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph},
  journal = {CoRR},
  year = {2024},
  volume = {abs/2402.18610},
  url = {https://doi.org/10.48550/arXiv.2402.18610},
  doi = {https://doi.org/10.48550/ARXIV.2402.18610}
}

@article{mojarrad:arxiv2024a,
  author = {Fatemeh Nassajian Mojarrad and Lorenzo Bini and Thomas Matthes and Stéphane Marchand-Maillet},
  title = {Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction},
  journal = {CoRR},
  year = {2024},
  volume = {abs/2405.18507},
  url = {https://doi.org/10.48550/arXiv.2405.18507},
  doi = {https://doi.org/10.48550/ARXIV.2405.18507}
}

@inproceedings{mojarrad:biows2024,
  author = {Fatemeh Nassajian Mojarrad and Lorenzo Bini and Thomas Matthes and Stéphane Marchand-Maillet},
  title = {Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction},
  booktitle = {ICML'2024 + Workshop on Accessible and Efficient Foundation Models for Biological Discovery},
  year = {2024},
  url = {https://doi.org/10.48550/arXiv.2405.18507},
  doi = {https://doi.org/10.48550/ARXIV.2405.18507}
}

@inproceedings{reyes:sisap2024,
  author = {Victor Reyes and Margarita Liarou and Stéphane Marchand-Maillet},
  title = {A Topological Evaluation Model for Manifold Learning and Embedding Techniques},
  booktitle = {Similarity Search and Applications - 17th International Conference, SISAP 2024, Providence, RI, USA, November 4-6, 2024, Proceedings},
  publisher = {Springer},
  year = {2024},
  volume = {15268},
  pages = {185--192},
  url = {https://doi.org/10.1007/978-3-031-75823-2_15},
  doi = {https://doi.org/10.1007/978-3-031-75823-2_15}
}

@inproceedings{chavez:sisap2023,
  author = {Edgar Chávez and Stéphane Marchand-Maillet and Adolfo J. Quiroz},
  title = {Mutual k-Nearest Neighbor Graph for Data Analysis: Application to Metric Space Clustering},
  booktitle = {Similarity Search and Applications - 16th International Conference, SISAP 2023, A Coruña, Spain, October 9-11, 2023, Proceedings},
  publisher = {Springer},
  year = {2023},
  volume = {14289},
  pages = {33--40},
  url = {https://doi.org/10.1007/978-3-031-46994-7_3},
  doi = {https://doi.org/10.1007/978-3-031-46994-7_3}
}

@article{chen:arxiv2023,
  author = {Yuan Chen and Stéphane Marchand-Maillet},
  title = {Supervised Auto-Encoding Twin-Bottleneck Hashing},
  journal = {CoRR},
  year = {2023},
  volume = {abs/2306.11122},
  url = {https://doi.org/10.48550/arXiv.2306.11122},
  doi = {https://doi.org/10.48550/ARXIV.2306.11122}
}

@article{dhrangadhariya:jmir2023,
  author = {Dhrangadhariya, Anjani and Hilfiker, Roger and Sattelmayer, Karl Martin and Naderi, Nona and Giacomino, Katia and Caliesch, Rahel and Higgins, Julian and Marchand-Maillet, Stéphane and Müller, Henning},
  title = {RoBuster: A Corpus Annotated with Risk of Bias Text Spans in Randomized Controlled Trials (Preprint)},
  journal = {Journal of Medical Internet Research},
  publisher = {JMIR Publications Inc.},
  year = {2023},
  doi = {https://doi.org/10.2196/preprints.55127}
}

@phdthesis{marini:phd2023,
  author = {Marini, Niccolo},
  title = {Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data},
  publisher = {Université de Genève},
  year = {2023},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:170757}
}

@article{marini:pathology2023,
  author = {Niccolo Marini and Sebastian Otalora and Marek Wodzinski and Selene Tomassini and Aldo Franco Dragoni and Stéphane Marchand-Maillet and Juan Pedro Dominguez Morales and Lourdes Duran-Lopez and Simona Vatrano and Henning Muller and Manfredo Atzori},
  title = {Data-driven color augmentation for H&E stained images in computational pathology},
  journal = {Journal of Pathology Informatics},
  year = {2023},
  volume = {14},
  pages = {100183},
  url = {https://www.sciencedirect.com/science/article/pii/S2153353922007830},
  doi = {https://doi.org/10.1016/j.jpi.2022.100183}
}

@phdthesis{aminanmu:phd2022,
  author = {Aminanmu, Maolaaisha},
  title = {Structural and functional regularization of deep learning models},
  publisher = {Université de Genève},
  year = {2022},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:163468}
}

@phdthesis{blonde:phd2022,
  author = {Blonde, Lionel},
  title = {Counterfactual Interactive Learning: designing proactive artificial agents that learn from the mistakes of other decision makers},
  publisher = {Université de Genève},
  year = {2022},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:158585}
}

@article{blonde:arxiv2022,
  author = {Lionel Blondé and Alexandros Kalousis and Stéphane Marchand-Maillet},
  title = {Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning},
  journal = {CoRR},
  year = {2022},
  volume = {abs/2107.01407},
  url = {https://arxiv.org/abs/2107.01407}
}

@article{brangbour:arxiv2022,
  author = {Etienne Brangbour and Pierrick Bruneau and Thomas Tamisier and Stephane Marchand-Maillet},
  title = {Cold Start Active Learning Strategies in the Context of Imbalanced Classification},
  journal = {CoRR},
  year = {2022},
  volume = {abs/2201.10227},
  url = {https://arxiv.org/abs/2201.10227}
}

@article{graziani:arxiv2022,
  author = {Mara Graziani and Sebastian Otalora and Stéphane Marchand-Maillet and Henning Muller and Vincent Andrearczyk},
  title = {Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs Improves Generalization},
  journal = {CoRR},
  school = {University of Geneva},
  year = {2022},
  volume = {abs/2008.01478},
  url = { https://arxiv.org/abs/2008.01478 }
}

@inproceedings{marchand:sisap2022,
  author = {Marchand-Maillet, Stéphane and Chávez, Edgar},
  title = {HubHSP Graph: Effective Data Sampling for Pivot-Based Representation Strategies},
  booktitle = {Similarity Search and Applications - 15th International Conference, SISAP 2022, Bologna, Italy, October 5-7, 2022, Proceedings},
  publisher = {Springer International Publishing},
  year = {2022},
  volume = {13590},
  pages = {164--177},
  note = {(Best paper award)},
  url = {https://doi.org/10.1007/978-3-031-17849-8_13},
  doi = {https://doi.org/10.1007/978-3-031-17849-8_13}
}

@article{marini:arxiv2022,
  author = {Niccolò Marini and Manfredo Atzori and Sebastian Otálora and Stéphane Marchand-Maillet and Henning Müller},
  title = {H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression},
  journal = {CoRR},
  year = {2022},
  volume = {abs/2201.06329},
  url = {https://arxiv.org/abs/2201.06329}
}

@article{orel:plos2022,
  author = {Orel, Erol AND Esra, Rachel AND Estill, Janne AND Thiabaud, Amaury AND Marchand-Maillet, Stéphane AND Merzouki, Aziza AND Keiser, Olivia},
  title = {Prediction of HIV status based on socio-behavioural characteristics in East and Southern Africa},
  journal = {PLOS ONE},
  publisher = {Public Library of Science},
  year = {2022},
  volume = {17},
  number = {3},
  pages = {1-15},
  url = {https://doi.org/10.1371/journal.pone.0264429},
  doi = {https://doi.org/10.1371/journal.pone.0264429}
}

@phdthesis{ramapuram:phd2022,
  author = {Ramapuram, Jason Emmanuel},
  title = {Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data},
  publisher = {Université de Genève},
  year = {2022},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:160342}
}

@inproceedings{ruiz:sisap2022,
  author = {Ubaldo Ruiz and Stéphane Marchand-Maillet and Edgar Chávez},
  title = {Stable Anchors for Matching Unlabelled Point Clouds},
  booktitle = {Similarity Search and Applications - 15th International Conference, SISAP 2022, Bologna, Italy, October 5-7, 2022, Proceedings},
  publisher = {Springer},
  year = {2022},
  volume = {13590},
  pages = {54--63},
  url = {https://doi.org/10.1007/978-3-031-17849-8_5},
  doi = {https://doi.org/10.1007/978-3-031-17849-8_5}
}

@article{bruneau:remotesensing2021,
  author = {Pierrick Bruneau and Etienne Brangbour and Stephane Marchand-Maillet and Renaud Hostache and Marco Chini and Ramona Pelich and Patrick Matgen and Thomas Tamisier},
  title = {Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter},
  journal = {Remote Sensing},
  year = {2021},
  volume = {13},
  number = {6},
  pages = {1153},
  url = {https://doi.org/10.3390/rs13061153}
}

@phdthesis{graziani:phd2021,
  author = {Graziani, Mara},
  title = {Interpretability of Deep Learning for Medical Image Classification: Improved Understandability and Generalization},
  publisher = {Université de Genève},
  year = {2021},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:158176}
}

@inproceedings{marchand:sisap2021,
  author = {Stephane Marchand-Maillet and Oscar Pedreira and Edgar Chavez},
  title = {Structural Intrinsic Dimensionality},
  booktitle = {Similarity Search and Applications - 14th International Conference (SISAP2021)},
  year = {2021}
}

@inproceedings{marini:cvf2021,
  author = {Niccolò Marini and Manfredo Atzori and Sebastian Otálora and Stephane Marchand-Maillet and Henning Müller},
  title = {H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, BC, Canada, October 11-17, 2021},
  publisher = {IEEE},
  year = {2021},
  pages = {601--610},
  url = {https://doi.org/10.1109/ICCVW54120.2021.00073},
  doi = {https://doi.org/10.1109/ICCVW54120.2021.00073}
}

@article{messina:tmcca2021,
  author = {Nicola Messina and Giuseppe Amato and Andrea Esuli and Fabrizio Falchi and Claudio Gennaro and Stéphane Marchand-Maillet},
  title = {Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders},
  journal = {ACM Trans. Multim. Comput. Commun. Appl.},
  year = {2021},
  volume = {17},
  number = {4},
  pages = {128:1--128:23},
  url = {https://doi.org/10.1145/3451390},
  doi = {https://doi.org/10.1145/3451390}
}

@article{messina:arxiv2021,
  author = {Nicola Messina and Giuseppe Amato and Fabrizio Falchi and Claudio Gennaro and Stephane Marchand-Maillet},
  title = {Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features},
  journal = {CoRR},
  year = {2021},
  volume = {abs/2106.00358},
  url = {https://arxiv.org/abs/2106.00358}
}

@inproceedings{messina:cbmi2021,
  author = {Nicola Messina and Giuseppe Amato and Fabrizio Falchi and Claudio Gennaro and Stephane Marchand-Maillet},
  title = {Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features},
  booktitle = {18th International Conference on Content-Based Multimedia Indexing, CBMI 2021, Lille, France, June 28-30, 2021},
  publisher = {IEEE},
  year = {2021},
  pages = {1--6},
  url = {https://doi.org/10.1109/CBMI50038.2021.9461890}
}

@phdthesis{otalora:phd2021,
  author = {Otalora Montenegro, Juan Sebastian},
  title = {Deep Learning for Histopathology Image Analysis From Heterogeneous and Multimodal Data Sources},
  publisher = {Université de Genève},
  year = {2021},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:160358}
}

@article{ouvrard:mtap2021,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stephane Marchand-Maillet},
  title = {Exchange-based diffusion in Hb-Graphs: Highlighting complex relationships in multimedia collections},
  journal = {Multimedia Tools and Applications},
  year = {2021},
  volume = {80},
  number = {15},
  pages = {22429--22464},
  url = {https://doi.org/10.1007/s11042-020-09176-y},
  doi = {https://doi.org/10.1007/s11042-020-09176-y}
}

@article{rudinac:mtap2021,
  author = {Stevan Rudinac and Jenny Benois-Pineau and Stephane Marchand-Maillet},
  title = {Special issue on content-based multimedia indexing in the era of artificial intelligence},
  journal = {Multimedia Tools and Applications},
  year = {2021},
  volume = {80},
  number = {15},
  pages = {23133--23134},
  url = {https://doi.org/10.1007/s11042-021-10923-y},
  doi = {https://doi.org/10.1007/s11042-021-10923-y}
}

@article{silva:infosys2021,
  author = {Yasin Silva and Stéphane Marchand-Maillet},
  title = {Introduction to Special Issue of the 11th International Conference on Similarity Search and Applications (SISAP 2017)},
  journal = {Informations Systems},
  year = {2021},
  volume = {95}
}

@article{amsaleg:infosys2020,
  author = {Laurent Amsaleg and Stephane Marchand-Maillet},
  title = {Introduction to Special Issue of the 10th International Conference on Similarity Search and Applications (SISAP 2017)},
  journal = {Informations Systems},
  year = {2020},
  volume = {87}
}

@article{brangbour:arxiv2020,
  author = {Etienne Brangbour and Pierrick Bruneau and Stéphane Marchand-Maillet and Renaud Hostache and Marco Chini and Patrick Matgen and Thomas Tamisier},
  title = {Computing flood probabilities using Twitter: application to the Houston urban area during Harvey},
  journal = {CoRR},
  year = {2020},
  volume = {abs/2012.03731},
  url = {https://arxiv.org/abs/2012.03731}
}

@inproceedings{brangbour:cdve2020,
  author = {Etienne Brangbour and Pierrick Bruneau and Thomas Tamisier and Stéphane Marchand-Maillet},
  title = {Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers},
  booktitle = {Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE},
  year = {2020}
}

@article{graziani:computers2020,
  author = {Mara Graziani and Vincent Andrearczyk and Stéphane Marchand-Maillet and Henning Müller},
  title = {Concept attribution: Explaining CNN decisions to physicians},
  journal = {Computers in Biology and Medicine},
  year = {2020},
  volume = {123},
  pages = {103865},
  url = {https://doi.org/10.1016/j.compbiomed.2020.103865}
}

@article{messina:arxiv2020,
  author = {Nicola Messina and Giuseppe Amato and Andrea Esuli and Fabrizio Falchi and Claudio Gennaro and Stéphane Marchand-Maillet},
  title = {Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders},
  journal = {CoRR},
  year = {2020},
  volume = {abs/2008.05231},
  url = {https://arxiv.org/abs/2008.05231}
}

@article{orel:medrxiv2020,
  author = {Orel, Erol and Esra, Rachel and Estill, Janne and Marchand-Maillet, Stéphane and Merzouki, Aziza and Keiser, Olivia},
  title = {Machine learning to identify socio-behavioural predictors of HIV positivity in East and Southern Africa},
  journal = {medRxiv},
  publisher = {Cold Spring Harbor Laboratory Press},
  year = {2020},
  url = {https://www.medrxiv.org/content/early/2020/01/27/2020.01.27.20018242},
  doi = {https://doi.org/10.1101/2020.01.27.20018242}
}

@article{ouvrard:arxiv2020a,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {Tuning Ranking in Co-occurrence Networks with General Biased Exchange-based Diffusion on Hyper-bag-graphs},
  journal = {CoRR},
  year = {2020},
  volume = {abs/2003.07323,},
  url = {https://arxiv.org/abs/2003.07323}
}

@inproceedings{ouvrard:sofsem2020,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stephane Marchand-Maillet},
  title = {The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets},
  booktitle = {46th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2020},
  year = {2020},
  url = {https://arxiv.org/abs/1905.11695}
}

@phdthesis{ouvrard:phd2020,
  author = {Ouvrard, Xavier Eric},
  title = {Hyper-bag-graphs and their applications: Modeling, Analyzing and Visualizing Complex Networks of Co-occurrences},
  publisher = {Université de Genève},
  year = {2020},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:137520}
}

@inproceedings{chavez:sisap2020,
  author = {Oscar Pedreira and Stephane Marchand-Maillet and Edgar Chávez},
  title = {Reverse k-Nearest Neighbors Centrality Measures and Local Intrinsic Dimension},
  booktitle = {Proceedings of the 13th International Conference on Similarity Search and Applications (SISAP 2020)},
  year = {2020}
}

@inproceedings{roman:mcpr2020,
  author = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title = {Orthogonal Local Image Descriptors with Convolutional Autoencoders},
  booktitle = {Mexican Conference on Pattern Recognition (MCPR2020)},
  year = {2020}
}

@proceedings{gurrin:cbm2019,,
  title = {2019 International Conference on Content-Based Multimedia Indexing, CBMI 2019, Dublin, Ireland, September 4-6, 2019},
  publisher = {IEEE},
  year = {2019},
  url = {https://ieeexplore.ieee.org/xpl/conhome/8863324/proceeding}
}

@inproceedings{brangbour:ci2019,
  author = {Etienne Brangbour and Pierrick Bruneau and Stéphane Marchand-Maillet and Renaud Hostache and Marco Chini and Patrick Matgen and Thomas Tamisier},
  title = {Computing flood probabilities using Twitter: application to the Houston urban area during Harvey},
  booktitle = {Climate Informatics 2019},
  year = {2019}
}

@article{brangbour:arxiv2019,
  author = {Etienne Brangbour and Pierrick Bruneau and Stéphane Marchand-Maillet and Renaud Hostache and Patrick Matgen and Marco Chini and Thomas Tamisier},
  title = {Extracting localized information from a Twitter corpus for flood prevention},
  journal = {CoRR},
  year = {2019},
  volume = {abs/1903.04748},
  url = {https://arxiv.org/abs/1903.04748}
}

@inbook{gurrin:cbmi2019,
  author = {Cathal Gurrin and Björn Þór Jónsson and Renaud Péteri and Stevan Rudinac and Stéphane Marchand-Maillet and Georges Quénot and Kevin McGuinness and Gylfi Þór Guðmundsson and Suzanne Little and Marie Katsurai and Graham Healy},
  title = {Proceedings of 2019 International Conference on Content-Based Multimedia Indexing, CBMI 2019},
  publisher = {IEEE proceedings},
  year = {2019}
}

@inproceedings{hoyos:sisap2019,
  author = {Angello Hoyos and Ubaldo Ruiz and Stephane Marchand-Maillet and Edgar Chavez},
  title = {Indexability-Based Dataset Partitioning},
  booktitle = {Similarity Search and Applications - 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2-4, 2019, Proceedings},
  year = {2019},
  pages = {143--150},
  url = {https://doi.org/10.1007/978-3-030-32047-8},
  doi = {https://doi.org/10.1007/978-3-030-32047-8_13}
}

@article{Ouvrard2019,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets},
  journal = {CoRR},
  year = {2019},
  volume = {abs/1905.11695},
  url = {https://arxiv.org/abs/1905.11695}
}

@article{roman:eaai2019,
  author = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title = {Inductive t-SNE via deep learning to visualize multi-label images},
  journal = {Engineering Applications of AI},
  year = {2019},
  volume = {81},
  pages = {336--345},
  url = {https://doi.org/10.1016/j.engappai.2019.01.015}
}

@article{strasser:arxiv2019,
  author = {Pablo Strasser and Stéphane Armand and Stéphane Marchand-Maillet and Alexandros Kalousis},
  title = {Learning by stochastic serializations},
  journal = {CoRR},
  year = {2019},
  volume = {abs/1905.11245},
  url = {https://arxiv.org/abs/1905.11245}
}

@inproceedings{DBLP:conf/igarss/BoutinVMKR18,
  author = {Jacqueline Boutin and Jean-Luc Vergely and Stéphane Marchand-Maillet and Nicolas Kolodziejczyk and Nicolas Reul},
  title = {Revised Mitigation of Systematic Errors in SMOS Sea Surface Salinity},
  booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018},
  publisher = {IEEE},
  year = {2018},
  pages = {5640--5643},
  url = {https://doi.org/10.1109/IGARSS.2018.8519011},
  doi = {https://doi.org/10.1109/IGARSS.2018.8519011}
}

@inproceedings{brangbour:ieeecs2018,
  author = {Etienne Brangbour and Pierrick Bruneau and Stéphane Marchand-Maillet},
  title = {Extracting Flood Maps from Social Media for Assimilation},
  booktitle = {14th IEEE International Conference on e-Science, e-Science 2018, Amsterdam, The Netherlands, October 29 - November 1, 2018},
  publisher = {IEEE Computer Society},
  year = {2018},
  pages = {272--273},
  url = {https://doi.org/10.1109/eScience.2018.00045},
  doi = {https://doi.org/10.1109/ESCIENCE.2018.00045}
}

@phdthesis{dicente:phd2018,
  author = {Dicente Cid, Yashin},
  title = {Lung tissue analysis: from local visual descriptors to global modeling},
  school = {Viper group, CS Department, University of Geneva},
  year = {2018},
  url = {https://archive-ouverte.unige.ch/unige:111394}
}

@phdthesis{gregorova:phd2018,
  author = {Gregorova, Magda},
  title = {Sparse learning for variable selection with structures and nonlinearities},
  publisher = {Université de Genève},
  year = {2018},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:115678}
}

@inproceedings{Gregorova2018,
  author = {Magda Gregorová and Alexandros Kalousis and Stéphane Marchand-Maillet},
  title = {Structured Non-linear Variable Selection},
  booktitle = {Conference on Uncertainty in Artificial Intelligence UAI2018},
  year = {2018}
}

@techreport{Gregorova2018b,
  author = {Magda Gregorová and Alexandros Kalousis and Stéphane Marchand-Maillet},
  title = {Structured nonlinear variable selection},
  school = {CoRR abs/1805.06258},
  year = {2018},
  url = {https://arxiv.org/abs/1805.06258}
}

@inproceedings{Gregorova2018a,
  author = {Magda Gregorová and Jason Ramapuram and Alexandros Kalousis and Stéphane Marchand-Maillet},
  title = {Large-scale Nonlinear Variable Selection via Kernel Random Features.},
  booktitle = {ECML/PKDD 2018},
  year = {2018}
}

@techreport{Gregorova2018c,
  author = {Magda Gregorová and Jason Ramapuram and Alexandros Kalousis and Stéphane Marchand-Maillet},
  title = {Large-scale Nonlinear Variable Selection via Kernel Random Features.},
  school = {CoRR abs/1804.07169},
  year = {2018},
  url = {https://arxiv.org/abs/1804.07169}
}

@inproceedings{houle:sisap2018,
  author = {Michael E. Houle and Vincent Oria and Kurt Rohloff and Arwa M. Wali},
  title = {LID-Fingerprint: A Local Intrinsic Dimensionality-Based Fingerprinting Method},
  booktitle = {Similarity Search and Applications - 11th International Conference, SISAP 2018, Lima, Peru, October 7-9, 2018, Proceedings},
  publisher = {Springer},
  year = {2018},
  volume = {11223},
  pages = {134--147},
  url = {https://doi.org/10.1007/978-3-030-02224-2_11},
  doi = {https://doi.org/10.1007/978-3-030-02224-2_11}
}

@inbook{marchand:sisap2018,
  author = {Stéphane Marchand-Maillet and Yasin Silva and Edgar Chavez},
  title = {Similarity Search and Applications - 11th International Conference, SISAP 2018},
  booktitle = {Lecture Notes in Computer Science no 11223},
  publisher = {Springer},
  year = {2018}
}

@mastersthesis{morel:msc2018,
  author = {Jeremy Morel},
  title = {Vivarium: vulgarisation des mécanismes de l’Intelligence Artificielle par l’exemple},
  school = {Viper Group, CS Dept, University of Geneva},
  year = {2018},
  url = {http://viper.unige.ch/documents/pdf/morel-msc2018.pdf}
}

@article{DBLP:journals/corr/abs-1805-11952,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {Adjacency and Tensor Representation in General Hypergraphs.Part 2: Multisets, Hb-graphs and Related e-adjacency Tensors},
  journal = {CoRR},
  year = {2018},
  volume = {abs/1805.11952},
  url = {http://arxiv.org/abs/1805.11952}
}

@inproceedings{ouvrard:cbmi2018,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {Exchange-Based Diffusion in Hb-Graphs: Highlighting Complex Relationships},
  booktitle = {2018 International Conference on Content-Based Multimedia Indexing, CBMI 2018, La Rochelle, France, September 4-6, 2018},
  publisher = {IEEE},
  year = {2018},
  pages = {1--6},
  url = {https://doi.org/10.1109/CBMI.2018.8516525},
  doi = {https://doi.org/10.1109/CBMI.2018.8516525}
}

@inproceedings{ouvrard:IMA2018,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {On Adjacency and e-Adjacency in General Hypergraphs: Towards a New e-Adjacency Tensor},
  booktitle = {IMA Conference on Theoretical and Computational Discrete Mathematics},
  year = {2018}
}

@inproceedings{ouvrard:MCCC322018,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {On Hb-graphs and their application to hypergraph e-adjacency tensor},
  booktitle = {MCCCC 32 - Midwest Conference on Combinatorics and Combinatorial Computing},
  year = {2018}
}

@article{Ouvrard2018,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stephane Marchand-Maillet},
  title = {On Adjacency and e-Adjacency in General Hypergraphs: Towards a New e-Adjacency Tensor},
  journal = {Electronic Notes in Discrete Mathematics},
  year = {2018},
  volume = {70},
  pages = {71--76},
  url = {https://doi.org/10.1016/j.endm.2018.11.012}
}

@techreport{Ouvrard2018a,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {Exchange-Based Diffusion in Hb-Graphs: Highlighting Complex Relationships},
  school = {CoRR abs/1809.00190},
  year = {2018},
  url = {https://arxiv.org/abs/1809.00190}
}

@techreport{Ouvrard2018b,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {Hypergraph Modeling and Visualisation of Complex Co-occurence Networks},
  school = {CoRR abs/1809.00164},
  year = {2018},
  url = {https://arxiv.org/abs/1809.00164}
}

@techreport{Ouvrard2018c,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {On Adjacency and e-Adjacency in General Hypergraphs: Towards a New e-Adjacency Tensor},
  school = {CoRR abs/1809.00162},
  year = {2018},
  url = {https://arxiv.org/abs/1809.00162}
}

@phdthesis{religi:phd2018,
  author = {Religi, Arianna},
  title = {Ground UV irradiance and 3D rendering techniques to predict anatomical solar UV exposure in skin cancer research and prevention},
  publisher = {Université de Genève},
  year = {2018},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:112464}
}

@phdthesis{farahmand:phd2017,
  author = {Farahmand, Meghdad},
  title = {Computational models of learning the idiosyncrasy of multiword expressions},
  publisher = {Université de Genève},
  school = {Viper group, CS Department, University of Geneva},
  year = {2017},
  url = {https://archive-ouverte.unige.ch/unige:96989},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:96989}
}

@inproceedings{Gregorova2017,
  author = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet},
  title = {Forecasting and Granger modelling with non-linear dynamical dependencies},
  booktitle = {ECML/PKDD 2017},
  year = {2017}
}

@inproceedings{Gregorova2017a,
  author = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet},
  title = {Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks},
  booktitle = {Asian Conference on Machine Learning (ACML2017)},
  year = {2017}
}

@techreport{Gregorova2017b,
  author = {Magda Gregorova and Alexandros Kalousis and S. Marchand-Maillet},
  title = {Forecasting and Granger modelling with non-linear dynamical dependencies},
  school = {CoRR abs/1706.08811},
  year = {2017},
  url = {https://arxiv.org/abs/1706.08811}
}

@phdthesis{deltoro:phd2017,
  author = {Jimenez Del Toro, Oscar},
  title = {Quantitative analysis of medical images: finding relevant regions-of-interest for medical decision support},
  publisher = {Université de Genève},
  school = {Viper group, CS Department, University of Geneva},
  year = {2017},
  url = {https://archive-ouverte.unige.ch/unige:96297},
  doi = {https://doi.org/10.13097/ARCHIVE-OUVERTE/UNIGE:96297}
}

@article{krulis:mtap2017,
  author = {Krulis, Martin and Osipyan, Hasmik and Marchand-Maillet, Stéphane},
  title = {Employing GPU architectures for permutation-based indexing},
  journal = {Multimedia Tools and Applications},
  year = {2017},
  volume = {76},
  url = { https://link.springer.com/article/10.1007/s11042-016-3677-7 }
}

@inproceedings{Nielsen2017,
  author = {Frank Nielsen and Ke Sun and Stephane Marchand-Maillet},
  title = {k-means clustering with Holder Divergences},
  booktitle = {Geometric Science of Information (GSI2017)},
  year = {2017}
}

@article{Nielsen2017a,
  author = {Frank Nielsen and Ke Sun and Stephane Marchand-Maillet},
  title = {On Holder Projective Divergences},
  journal = {Entropy},
  year = {2017},
  volume = {19},
  url = {http://www.mdpi.com/1099-4300/19/3/122/pdf}
}

@techreport{Nielsen2017b,
  author = {Frank Nielsen and Ke Sun and S. Marchand-Maillet},
  title = {On Hölder projective divergences},
  school = {CoRR abs/1701.03916},
  year = {2017},
  url = {https://arxiv.org/abs/1701.03916}
}

@article{DBLP:journals/corr/abs-1712-08189,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title = {Adjacency and Tensor Representation in General Hypergraphs Part 1: e-adjacency Tensor Uniformisation Using Homogeneous Polynomials},
  journal = {CoRR},
  year = {2017},
  volume = {abs/1712.08189},
  url = {http://arxiv.org/abs/1712.08189}
}

@techreport{Ouvrard2017a,
  author = {Xavier Ouvrard and Jean-Marie Le Goff and S. Marchand-Maillet},
  title = {Networks of Collaborations: Hypergraph modeling and visualisation},
  school = {CoRR abs/1707.0015},
  year = {2017},
  url = {https://arxiv.org/abs/1707.0015}
}

@techreport{Ouvrard2017,
  author = {Xavier Ouvrard and S. Marchand-Maillet},
  title = {Adjacency Matrix and Co-occurrence Tensor of General Hypergraphs: Two Well Separated Notions},
  school = {CoRR abs/1712.08189},
  year = {2017},
  url = {https://arxiv.org/abs/1712.08189}
}

@article{ouvrard2017:arxiv1712.08189,
  author = {Xavier Ouvrard and S. Marchand-Maillet},
  title = {Adjacency Matrix and Co-occurrence Tensor of General Hypergraphs: Two Well Separated Notions},
  journal = {CoRR},
  school = {CoRR},
  year = {2017},
  volume = {abs/1712.08189},
  url = {https://arxiv.org/abs/1712.08189}
}

@inproceedings{RomanRangel2017,
  author = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title = {Assessing Deep Learning Architectures for Vizualising Maya Hieroglyphs},
  booktitle = {Mexican Conference on Pattern Recognition (MCPR2017)},
  year = {2017}
}

@inproceedings{RomanRangel2017a,
  author = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title = {Visualizing weakly-annotated multi-label Mayan inscriptions with supervised t-SNE},
  booktitle = {Content-Based Multimedia Indexing (CBMI2017)},
  year = {2017}
}

@inproceedings{MarchandMaillet2016,
  author = {Stephane Marchand-Maillet and Edgar Roman-Rangel and Hisham Mohamed and Frank Nielsen},
  title = {Quantifying the invariance and robustness of Permutation-based Indexing schemes},
  booktitle = {9th International Conference on Similarity Search and Applications (SISAP 2016)},
  year = {2016}
}

@inproceedings{Osipyan2016,
  author = {Hasmik Osipyan and Jakub Lokoč and Stephane Marchand-Maillet},
  title = {Similarity Search of Sparse Histograms on GPU Architecture},
  booktitle = {9th International Conference on Similarity Search and Applications (SISAP 2016)},
  year = {2016}
}

@inproceedings{RomanRangel2016,
  author = {Edgar Roman-Rangel and Gulcan Can and Stephane Marchand-Maillet and Rui Hu and Carlos Pallan Gayol and Guido Krempel and Jakub Spotak and Jean-Marc Odobez and Daniel Gatica-Perez},
  title = {Transferring Neural Representations for Low-dimensional Indexing of Maya Hieroglyphic Art},
  booktitle = {3rd Workshop on Computer Vision for Art Analysis (VISART-ECCV 2016)},
  year = {2016}
}

@article{romanrangel:jocch2016,
  author = {Edgar Roman-Rangel and Diego Jimenez-Badillo and Stéphane Marchand-Maillet},
  title = {Classification and Retrieval of Archaeological Potsherds using Histograms of Spherical Orientations},
  journal = {Journal on Computing and Cultural Heritage},
  year = {2016},
  volume = {9},
  url = {http://dl.acm.org/citation.cfm?id=2948069}
}

@inproceedings{RomanRangel2016b,
  author = {Edgar Roman-Rangel and Diego Jimenez-Badillo and Stephane Marchand-Maillet},
  title = {Rotation Invariant Local Shape Descriptors for Classification of Archaeological 3D Models},
  booktitle = {Mexican Conference on Pattern Recognition (MCPR 2016)},
  year = {2016}
}

@inproceedings{RomanRangel2016a,
  author = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title = {Indexing Mayan Hieroglyphs with Neural Codes},
  booktitle = {International Conference on Pattern Recognition (ICPR 2016)},
  year = {2016}
}

@article{RomanRangel2016c,
  author = {Edgar Roman-Rangel and Changhu Wang and Stephane Marchand-Maillet},
  title = {SimMap: Similarity maps for scale invariant local shape descriptors},
  journal = {Neurocomputing},
  year = {2016},
  volume = {175},
  pages = {888--898},
  url = {http://dx.doi.org/10.1016/j.neucom.2015.06.093}
}

@inproceedings{Schwander2016,
  author = {Olivier Schwander and Stephane Marchand-Maillet and Frank Nielsen},
  title = {Comix: Joint estimation and lightspeed comparison of mixture models},
  booktitle = {IEEE ICASSP 2016, Shanghai, China, March 2016},
  year = {2016}
}