André Anjos

Research Outputs

My research outputs — journal and conference papers, preprints, book chapters, patents, theses, datasets, and software — curated in my Zotero library. Filter by type from the menu or the controls below. Where a work is openly available, a PDF link is provided. Cross-references are on my ORCID record and Google Scholar.

Featured works

2026

  • Victor Amiot, Roberto Pulvirenti, Oscar Jimenez-del-Toro, Muriel Ott, Teodora-Elena Bogaciu, Shalini Banerjee, Christoph Amstutz, Jean-Marc Odobez, … André Anjos et al. UveAI: clinic-ready scoring of retinal inflammation in uveitis on widefield fluorescein angiography using AI. Scientific reports, 2026. Journal Article · doi:10.1038/s41598-026-46069-w · Software
  • Dilermando Queiroz Neto, Anderson Carlos, André Anjos and Lilian Berton. Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives. ACM Transactions on Computing for Healthcare, 2026. Journal Article · doi:10.1145/3793542
  • Roberto Pulvirenti, Oscar Jimenez-del-Toro, Mattia Tomasoni, Florence Hoogewoud and André Anjos. When Specialization Helps (and Hurts): Cross-Modality Transfer in Ophthalmic Imaging with Foundation Models. 2026 IEEE 23rd International Symposium on Biomedical Imaging, 2026. Conference Paper · doi:10.1109/isbi61048.2026.11515636 · Homepage · Software

2025

  • Gökhan Özbulak, Oscar Jimenez-del-Toro, Maíra Fatoretto, Lilian Berton and André Anjos. A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems. The Journal of Machine Learning for Biomedical Imaging, 2025. Journal Article · doi:10.59275/j.melba.2025-ab9a
  • Maira Fatoreto, Gökhan Özbulak, Lilian Berton and André Anjos. Optimizing Fairness and Utility in Healthcare Machine Learning Models. Applied Soft Computing, 2025. Journal Article · doi:10.1016/j.asoc.2025.113426
  • Damien Geissbuhler, Alban Bornet, Catarina Marques, André Anjos, Sónia Pereira and Douglas Teodoro. STM-GNN: Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks. International Conference on Artificial Intelligence in Medicine, 2025. Conference Paper · doi:10.1007/978-3-031-95838-0_16 · Related Preprint doi:10.1101/2025.05.27.25327491
  • Damien Geissbuhler, Alban Bornet, Catarina Marques, André Anjos, Sónia Pereira and Douglas Teodoro. STM-GNN: Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks. Health Informatics, 2025. Preprint · doi:10.1101/2025.05.27.25327491 · PDF · Related Conference Paper doi:10.1007/978-3-031-95838-0_16
  • fairical. A Python library for evaluating and tuning machine-learning systems via multi-objective optimisation, balancing fairness metrics against utility; it approximates Pareto fronts of utility–fairness trade-offs with convergence, diversity, and hypervolume scores. Software GPL-3.0 · Docs · PyPI · conda-forge · Source
  • Matej Vitek, Darian Tomašević, Abhijit Das, Sabari Nathan, Gökhan Özbulak, Gözde Ayşe Tataroğlu Özbulak, Jean-Paul Calbimonte, André Anjos et al. Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025. 2025 IEEE International Joint Conference on Biometrics (IJCB), 2025. Conference Paper · doi:10.1109/ijcb65343.2025.11411539
  • Victor Amiot, Oscar Jimenez–del–Toro, Yan Guex–Crosier, Muriel Ott, Teodora-Elena Bogaciu, Shalini Banerjee, Jeremy Howell, Christoph Amstutz, … André Anjos et al. Automatic transformer-based grading of multiple retinal inflammatory signs in uveitis on fluorescein angiography. Computers in Biology and Medicine, 2025. Journal Article · doi:10.1016/j.compbiomed.2025.110327 · PDF · Related Preprint doi:10.2139/ssrn.4960069

2024

  • Özgür Acar Güler, Manuel Günther and André Anjos. Refining Tuberculosis Detection in CXR Imaging: Addressing Bias in Deep Neural Networks via Interpretability. 2024 12th European Workshop on Visual Information Processing (EUVIP), 2024. Conference Paper · doi:10.1109/euvip61797.2024.10772829 · Homepage · PDF · Software
  • Dilermando Queiroz, André Anjos and Lilian Berton. Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data. Ethics and Fairness in Medical Imaging, 2024. Conference Paper · doi:10.1007/978-3-031-72787-0_11
  • Dilermando Queiroz, Anderson Carlos, Maíra Fatoretto, Luis Filipe Nakayama, André Anjos and Lilian Berton. Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?. Fairness and Ethics Towards Transparent AI: Facing the Challenge through Model Debiasing (FAILED), ECCV 2024 Workshops, 2024. Conference Paper · doi:10.48550/arxiv.2408.16154 · PDF
  • mednet. A framework for developing and analysing deep neural network architectures for medical data (2D/3D images and signals), with ready access to many public medical-imaging datasets and extensible model architectures. Software GPL-3.0 · Docs · PyPI · conda-forge · Source
  • Victor Amiot, Oscar Jimenez-del-Toro, Yan Guex-Croisier, Muriel Ott, Teodora-Elena Bogaciu, Shalini Banerjee, Jeremy Howell, Christoph Amstutz, … André Anjos et al. Automatic Transformer-Based Grading of Multiple Retinal Inflammatory Signs on Fluorescein Angiography. SSRN, 2024. Preprint · doi:10.2139/ssrn.4960069 · PDF · Related Journal Article doi:10.1016/j.compbiomed.2025.110327
  • Jung Park and André Anjos. How can we ensure safe and fair AI in healthcare?. SwissInfo, 2024. Press
  • Oscar Jimenez-del-Toro, Christoph Aberle, Roger Schaer, Michael Bach, Kyriakos Flouris, Ender Konukoglu, Bram Stieltjes, Markus M. Obmann, … André Anjos et al. Comparing Stability and Discriminatory Power of Hand-crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study. 2024 12th European Workshop on Visual Information Processing (EUVIP), 2024. Conference Paper · doi:10.1109/euvip61797.2024.10772813
  • Thibaud Mautuit, Pierre Cunnac, Frédéric Truffer, André Anjos, Rebecca Dufrane, Gilbert Maître, Martial Geiser and Christophe Chiquet. Absolute retinal blood flow in healthy eyes and in eyes with retinal vein occlusion. Microvascular Research, 2024. Journal Article · doi:10.1016/j.mvr.2023.104648

2023

  • clapper. Configuration and command-line-interface support for Python packages: automatic TOML-based RC configuration storage/retrieval and integration with the Click framework for building CLIs. Software BSD-3-Clause · Docs · PyPI · conda-forge · Source
  • credible. scikit-learn-compatible implementations of machine-learning metrics augmented with credible/confidence intervals, so performance measurements come with quantified uncertainty bounds. Software GPL-3.0 · Docs · PyPI · conda-forge · Source
  • auto-intersphinx. A Sphinx extension that fills intersphinx mappings from package names, removing the need to manually specify dependency documentation URLs and keeping cross-references up to date. Software BSD-3-Clause · Docs · PyPI · conda-forge · Source
  • C. Geric, Z. Z. Qin, C. M. Denkinger, S. V. Kik, B. Marais, André Anjos, P-M. David, F. Ahmad Khan et al. The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination. The International Journal of Tuberculosis and Lung Disease, 2023. Journal Article · doi:10.5588/ijtld.22.0687
  • Victor Amiot, Oscar Jimenez-Del-Toro, Pauline Eyraud, Yan Guex-Crosier, Ciara Bergin, André Anjos, Florence Hoogewoud and Mattia Tomasoni. Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Rheumatologic Uveitis. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023. Conference Paper · doi:10.1109/cbms58004.2023.00301

2022

  • Geoffrey Raposo, Anete Trajman and André Anjos. Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using Deep Models. Union World Conference on Lung Health, 2022. Presentation
  • Meysam Shamsi, Anthony Larcher, Loic Barrault, Sylvain Meignier, Yevheni Prokopalo, Marie Tahon, Ambuj Mehrish, Simon Petitrenaud, … André Anjos et al. Towards lifelong human assisted speaker diarization. Computer Speech & Language, 2022. Journal Article · doi:10.1016/j.csl.2022.101437
  • Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert and Ismail Ben Ayed. State-of-the-art retinal vessel segmentation with minimalistic models. Scientific Reports, 2022. Journal Article · doi:10.1038/s41598-022-09675-y · PDF

2021

  • Matheus A. Renzo, Natália Fernandez, André A. Baceti, Natanael Nunes Moura Junior and André Anjos. Development of a lung segmentation algorithm for analog imaged chest X-Ray: preliminary results. Anais do 15. Congresso Brasileiro de Inteligência Computacional, 2021. Conference Paper · doi:10.21528/cbic2021-123 · PDF

2020

  • Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert and Ismail Ben Ayed. The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. arXiv, 2020. Preprint · doi:10.48550/arxiv.2009.01907
  • Ana Cláudia Barbosa Honório Ferreira, Danton Diego Ferreira, Henrique Ceretta Oliveira, Igor Carvalho de Resende, André Anjos and Maria Helena Baena de Moraes Lopes. Competitive neural layer-based method to identify people with high risk for diabetic foot. Computers in Biology and Medicine, 2020. Journal Article · doi:10.1016/j.compbiomed.2020.103744
  • Tim Laibacher and André Anjos. On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Retinography. arXiv, 2020. Preprint · doi:10.48550/arxiv.1909.03856

2019

  • Anjith George, Zohreh Mostaani, David Geissbuhler, Olegs Nikisins, André Anjos and Sébastien Marcel. WMCA (Wide Multi-Channel presentation Attack). Idiap Research Institute, 2019. Dataset · doi:10.34777/8zdh-v182 · Related Journal Article doi:10.1109/tifs.2019.2916652
  • Tiago de Freitas Pereira, André Anjos and Sébastien Marcel. Heterogeneous Face Recognition Using Domain Specific Units. IEEE Transactions on Information Forensics and Security, 2019. Journal Article · doi:10.1109/tifs.2018.2885284
  • Anjith George, Zohreh Mostaani, David Geissenbuhler, Olegs Nikisins, André Anjos and Sébastien Marcel. Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network. IEEE Transactions on Information Forensics and Security, 2019. Journal Article · doi:10.1109/tifs.2019.2916652 · Related Dataset doi:10.34777/8zdh-v182
  • Sushil Bhattacharjee, Amir Mohammadi, André Anjos and Sébastien Marcel. Recent Advances in Face Presentation Attack Detection. Handbook of Biometric Anti-Spoofing, 2019. Book Chapter · doi:10.1007/978-3-319-92627-8_10
  • André Anjos, Pedro Tome and Sébastien Marcel. An Introduction to Vein Presentation Attacks and Detection. Handbook of Biometric Anti-Spoofing, 2019. Book Chapter · doi:10.1007/978-3-319-92627-8_18
  • Ivana Chingovska, Amir Mohammadi, André Anjos and Sébastien Marcel. Evaluation Methodologies for Biometric Presentation Attack Detection. Handbook of Biometric Anti-Spoofing, 2019. Book Chapter · doi:10.1007/978-3-319-92627-8_20
  • Method and Device for Biometric Vascular Recognition and/or Identification. , 2019. Patent · PDF

2018

  • Method and internet-connected server for reviewing a computer-executable experiment. , 2018. Patent · PDF
  • Olegs Nikisins, Teodors Eglitis, André Anjos and Sébastien Marcel. Fast cross-correlation based wrist vein recognition algorithm with rotation and translation compensation. Sixth International Workshop on Biometrics and Forensics, 2018. Conference Paper · doi:10.1109/iwbf.2018.8401550
  • Olegs Nikisins, Amir Mohammadi, André Anjos and Sébastien Marcel. On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-Spoofing. The 11th IAPR International Conference on Biometrics (ICB 2018), 2018. Conference Paper · doi:10.1109/icb2018.2018.00022

2017

  • sleepless. A benchmarking package for evaluating machine- and deep-learning techniques on polysomnography biosignals for sleep-stage classification, covering feature extraction, training, prediction, and evaluation across datasets and algorithms. Software GPL-3.0 · Docs · PyPI · Source
  • André Anjos, Laurent El-Shafey and Sébastien Marcel. BEAT: An Open-Source Web-Based Open-Science Platform. arXiv, 2017. Preprint · doi:10.48550/arxiv.1704.02319
  • Guillaume Heusch, André Anjos and Sébastien Marcel. A reproducible study on remote heart rate measurement. arXiv, 2017. Preprint · doi:10.48550/arxiv.1709.00962 · Related Dataset doi:10.34777/ff3f-ba56
  • A data-network connected server, a device, a platform and a method for conducting computer-executable experiments. , 2017. Patent · PDF
  • Milos Cernak, Alain Komaty, Amir Mohammadi, André Anjos and Sébastien Marcel. Bob Speaks Kaldi. Proceedings of Interspeech, 2017. Conference Paper · PDF
  • André Anjos, Manuel Günther, Tiago de Freitas Pereira, Pavel Korshunov, Amir Mohammadi and Sébastien Marcel. Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments. Thirty-fourth International Conference on Machine Learning, 2017. Conference Paper · PDF
  • André Anjos, Laurent El Shafey and Sébastien Marcel. BEAT: An Open-Science Web Platform. Thirty-fourth International Conference on Machine Learning, 2017. Conference Paper · PDF

2016

  • BEAT. A web-based open-science platform for running, sharing, and reusing reproducible machine-learning experiments with secure access to data and code, even when the underlying data cannot be published. Software AGPL-3.0 archived · Docs · Source
  • Guillaume Heusch, Sébastien Marcel and André Anjos. COHFACE. Idiap Research Institute, 2016. Dataset · doi:10.34777/ff3f-ba56 · Related Preprint doi:10.48550/arxiv.1709.00962
  • Ivana Chingovska, Nesli Erdogmus, André Anjos and Sébastien Marcel. Face Recognition Systems Under Spoofing Attacks. Face Recognition Systems Under Spoofing Attacks, 2016. Book Chapter · doi:10.1007/978-3-319-28501-6_8 · Related Dataset doi:10.34777/payf-vb10
  • Aythami Morales, Julian Fierrez, Ruben Tolosana, Javier Ortega-Garcia, Javier Galbally, Marta Gomez-Barrero, André Anjos and Sébastien Marcel. Keystroke Biometrics Ongoing Competition. IEEE Access, 2016. Journal Article · doi:10.1109/access.2016.2626718

2015

  • Bob. A free signal-processing and machine-learning toolbox developed at Idiap: a comprehensive, Python-first framework to build, experiment with, and reproduce pattern-recognition and machine-learning workflows. Software BSD-3-Clause archived · Docs · PyPI · conda-forge · Source
  • Sébastien Marcel. MSSpoof (Multispectral-Spoof). Idiap Research Institute, 2015. Dataset · doi:10.34777/payf-vb10 · Related Book Chapter doi:10.1007/978-3-319-28501-6_8
  • Ivana Chingovska and André Anjos. On the use of client identity information for face anti-spoofing. IEEE Transactions on Information Forensics and Security, Special Issue on Biometric Anti-spoofing, 2015. Journal Article · doi:10.1109/tifs.2015.2400392

2014

  • Stan Z.Li, Javier Galbally, André Anjos and Sébastien Marcel. Evaluation Databases. Handbook of Biometric Anti-Spoofing, 2014. Book Chapter · doi:10.1007/978-1-4471-6524-8
  • Tiago de Freitas Pereira, Jukka Komulainen, André Anjos, José Mario De Martino, Abdenour Hadid, Matti Pietikainen and Sébastien Marcel. Face liveness detection using dynamic texture. EURASIP Journal on Image and Video Processing, 2014. Journal Article · doi:10.1186/1687-5281-2014-2
  • Ivana Chingovska, André Anjos and Sébastien Marcel. Biometrics Evaluation Under Spoofing Attacks. IEEE Transactions on Information, Forensics and Security, 2014. Journal Article · doi:10.1109/tifs.2014.2349158
  • André Anjos, Jukka Komulainen, Sébastien Marcel, Abdenour Hadid and Matti Pietikainen. Face Anti-Spoofing: Visual Approach. Handbook of Biometric Anti-Spoofing, 2014. Book Chapter · doi:10.1007/978-1-4471-6524-8_4
  • Ivana Chingovska, André Anjos and Sébastien Marcel. Evaluation Methodologies. Handbook of Biometric Anti-Spoofing, 2014. Book Chapter · doi:10.1007/978-1-4471-6524-8_10
  • Ivana Chingovska, André Anjos and Sébastien Marcel. Anti-spoofing: Evaluation Methodologies. Encyclopedia of Biometrics, 2014. Book Chapter · doi:10.1007/978-3-642-27733-7
  • André Anjos, Ivana Chingovska and Sébastien Marcel. Anti-Spoofing: Face Databases. Encyclopedia of Biometrics, 2014. Book Chapter · doi:10.1007/978-3-642-27733-7_9212-2

2013

  • Ivana Chingovska, André Anjos and Sébastien Marcel. Anti-spoofing in action: joint operation with a verification system. Computer Vision and Pattern Recognition Conference - Biometrics Workshop, 2013. Conference Paper · doi:10.1109/cvprw.2013.22
  • Jukka Komulainen, Abdenour Hadid, Matti Pietikäinen, André Anjos and Sébastien Marcel. Complementary Countermeasures for Detecting Scenic Face Spoofing Attacks. International Conference on Biometrics 2013, 2013. Conference Paper · doi:10.1109/icb.2013.6612968
  • Tiago de Freitas Pereira, André Anjos, José Mario De Martino and Sébastien Marcel. Can face anti-spoofing countermeasures work in a real world scenario?. International Conference on Biometrics 2013, 2013. Conference Paper · doi:10.1109/icb.2013.6612981
  • I. Chingovska, J. Yang, Z. Lei, D. Yi, S. Z. Li, O. Kähm, C. Glaser, N. Damer, … André Anjos et al. The 2nd Competition on Counter Measures to 2D Face Spoofing Attacks. International Conference on Biometrics 2013, 2013. Conference Paper · doi:10.1109/icb.2013.6613026
  • André Anjos, Murali Mohan Chakka and Sébastien Marcel. Motion-Based Counter-Measures to Photo Attacks in Face Recognition. IET Biometrics, 2013. Journal Article · doi:10.1049/iet-bmt.2012.0071

2012

  • gridtk. A user-friendly command-line tool for Slurm job management — a drop-in replacement for sbatch adding local job IDs, automatic log management, monitoring, and simplified job dependencies. Software GPL-3.0 · Docs · PyPI · conda-forge · Source
  • Ivana Chingovska, André Anjos and Sébastien Marcel. Replay-Attack. Idiap Research Institute, 2012. Dataset · doi:10.34777/cwcg-7r82 · Related Conference Paper link
  • Ivana Chingovska, André Anjos and Sébastien Marcel. On the Effectiveness of Local Binary Patterns in Face Anti-spoofing. IEEE International Conference of the Biometrics Special Interest Group, 2012. Conference Paper · PDF · Related Dataset doi:10.34777/cwcg-7r82
  • André Anjos, Laurent El Shafey, Roy Wallace, Manuel Günther, Chris McCool and Sébastien Marcel. Bob: a free signal processing and machine learning toolbox for researchers. ACM Multimedia 2012, 2012. Conference Paper · doi:10.1145/2393347.2396517
  • Tiago de Freitas Pereira, André Anjos, José Mario De Martino and Sébastien Marcel. LBP-TOP based countermeasure against facial spoofing attacks. International Workshop on Computer Vision With Local Binary Pattern Variants, 2012. Conference Paper · doi:10.1007/978-3-642-37410-4_11

2011

  • André Anjos and Sébastien Marcel. Print-Attack. Idiap Research Institute, 2011. Dataset · Related Conference Paper doi:10.1109/ijcb.2011.6117503
  • André Anjos and Sébastien Marcel. Counter-Measures to Photo Attacks in Face Recognition: a public database and a baseline. International Joint Conference on Biometrics 2011, 2011. Conference Paper · doi:10.1109/ijcb.2011.6117503
  • Murali Mohan Chakka, André Anjos, Sébastien Marcel and others. Competition on Counter Measures to 2-D Facial Spoofing Attacks. International Joint Conference on Biometrics 2011, 2011. Conference Paper · doi:10.1109/ijcb.2011.6117509

2009

  • The ATLAS Collaboration. ATLAS Trigger and Data Acquisition: capabilities and commissioning. 11th Pisa Meeting on Advanced Detectors, 2009. Conference Paper · doi:10.1016/j.nima.2009.06.114
  • The ATLAS Collaboration. Configuration and Control of the ATLAS Trigger and Data Acquisition. The 1st international conference on Technology and Instrumentation in Particle Physics, 2009. Conference Paper · PDF
  • The ATLAS Collaboration. Atlas trigger for first physics and beyond. Physics at LHC 2008 29 September - October 4, 2008 Split, Croatia, 2009. Conference Paper · PDF
  • The ATLAS Collaboration. ATLAS Trigger Status and Results From Commissioning Operations. Advanced Computing on High-Energy Physics 2008, Erice, Sicily, Italy, 2009. Conference Paper · PDF
  • The ATLAS Collaboration. Commissioning of the ATLAS High Level Trigger with Single Beam and Cosmic Rays. Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, 2009. Conference Paper · PDF
  • R.C. Torres, André Anjos and J.M. Seixas. Automatizing the Online Filter Test Management for a General-Purpose Particle Detector. Computer Physics Communications, 2009. Journal Article · doi:10.1016/j.cpc.2010.10.003
  • The ATLAS Collaboration. The ATLAS online High Level Trigger framework: experience reusing offline software components in the ATLAS trigger. Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, 2009. Conference Paper · PDF

2008

  • The Atlas Collaboration, G Aad, E Abat, J Abdallah, A A Abdelalim, A Abdesselam, O Abdinov, B A Abi, … André Anjos et al. The ATLAS Experiment at the CERN Large Hadron Collider. Journal of Instrumentation, 2008. Journal Article · doi:10.1088/1748-0221/3/08/s08003
  • The ATLAS Collaboration. Expected Performance of the ATLAS Experiment Detector, Trigger, Physics. CERN Open Documentation, 2008. Report · doi:10.48550/arxiv.0901.0512 · PDF
  • André Anjos. Trigger Systems. Experimental High-Energy Physics and Associated Technologies Workshop, 2008. Conference Paper
  • André Anjos on behalf of the ATLAS Collaboration. The DAQ/HLT system of the ATLAS experiment. International Workshop on Advanced Computing and Analysis Techniques in Physics Research, 2008. Conference Paper · PDF
  • The ATLAS Collaboration. Readiness of the ATLAS Trigger and Data Acquisition system for the first LHC beams. 11th Topical Seminar On Innovative Particle And Radiation Detectors, Siena, Italy, 2008. Conference Paper · PDF

2007

  • Thiago Ciodaro Xavier, André Anjos and José Manoel de Seixas. Discriminação Neural de Partículas para um Detector Submetido a uma Alta Taxa de Eventos. Learning and Nonlinear Models - Revista da Sociedade Brasileira de Redes Neurais (SBRN), 2007. Journal Article · doi:10.21528/lnlm-vol4-no2-art5
  • The ATLAS Collaboration. Alignment data streams for the ATLAS Inner Detector. Computing for High-Energy Physics, 2007. Conference Paper · doi:10.1088/1742-6596/119/2/022030
  • André Anjos on behalf of the ATLAS Collaboration. The Configuration System of the ATLAS Trigger. IEEE Real-time conference, 2007. Conference Paper · PDF
  • The ATLAS Collaboration. Performance of the final Event Builder for the ATLAS Experiment. 15th IEEE Real Time Conference 2007, 2007. Conference Paper · PDF
  • The ATLAS Collaboration. Integration of the Trigger and Data Acquisition systems in ATLAS. IEEE Real-time conference, 2007. Conference Paper · PDF
  • The ATLAS Collaboration. The ATLAS trigger - high-level trigger commissioning and operation during early data taking. International Europhysics Conference on High Energy Physics, 2007. Conference Paper · PDF
  • The ATLAS Collaboration. The ATLAS Trigger - Commissioning with cosmic rays. International Conference on Computing in High Energy and Nuclear Physics, 2007. Conference Paper · PDF
  • Rodrigo Coura Torres, José Manoel Seixas, André Anjos and Danilo Vannier Cunha. Online Electron/Jet Neural High-Level Trigger over Indenpendent Calorimetry Information. XI International Workshop on Advanced Computing and Analysis Techniques in Physics Research, 2007. Conference Paper · PDF
  • The ATLAS Collaboration. The ATLAS Event Builder. IEEE Nuclear Science Symposium and Medical Imaging Conference, 2007. Conference Paper · PDF

2006

  • André Anjos, R. C. Torres, J. M. Seixas, B. C. Ferreira and T. C. Xavier. Neural triggering system operating on high resolution calorimetry information. Nuclear Instruments and Methods in Physics Research, 2006. Journal Article · doi:10.1016/j.nima.2005.11.132
  • The ATLAS Collaboration. Testing on a Large Scale: running the ATLAS Data Acquisition and High Level Trigger Software on 700 PC Nodes. Computing In High Energy and Nuclear Physics, 2006. Conference Paper · PDF
  • André Anjos on behalf of the ATLAS Collaboration. Deployment of the ATLAS High-Level Trigger. IEEE Transactions on Nuclear Science, 2006. Journal Article · PDF
  • The ATLAS Collaboration. Studies with the ATLAS Trigger and Data Acquisition Pre-Series Setup. 15th International Conference on Computing In High Energy and Nuclear Physics, 2006. Conference Paper · PDF
  • The ATLAS Collaboration. ATLAS High Level Trigger Infrastructure, ROI Collection and Event Building. 15th International Conference on Computing In High Energy and Nuclear Physics, 2006. Conference Paper · PDF
  • André Anjos on behalf of the ATLAS Collaboration. A configuration system for the ATLAS trigger. Journal of Instrumentation, Institute of Physics Publishing and Sissa, 2006. Journal Article · PDF
  • André Anjos. Sistema Online de Filtragem em um Ambiente com Alta Taxa de Eventos. , 2006. Thesis · PDF
  • The ATLAS Collaboration. The ATLAS Data Acquisition and Trigger : concept, design and status. Nucl. Phys. B, Proc. Suppl., 2006. Journal Article · PDF

2005

  • The ATLAS Collaboration. ATLAS DataFlow: the Read-Out Subsystem, Results from Trigger and Data-Acquisition System Testbed Studies and from Modeling. IEEE Trans. Nucl. Sciences, 2005. Journal Article · doi:10.1109/rtc.2005.1547446
  • The ATLAS Collaboration. Overview of the High-Level Trigger Electron and Photon Selection for the ATLAS Experiment at the LHC. IEEE Transactions Nuclear Sciences (2005), 2005. Journal Article · PDF
  • The ATLAS Collaboration. Implementation and Performance of the Seeded Reconstruction for the ATLAS Event Filter Selection Software. IEEE Trans. Nucl. Sciences, 2005. Journal Article · PDF
  • André Anjos on behalf of the ATLAS Collaboration. Configuration of the ATLAS trigger. 14th IEEE NPSS Real Time Conference, 2005. Conference Paper · PDF
  • André Anjos, R. C. Torres, B. C. Ferreira, T. C. Xavier, J. M. Seixas and D. O. Damazio. Otimização do Sistema de Trigger do Segundo Nível do ATLAS Baseado em Calorimetria. XXVI Encontro Nacional de Física de Partículas e Campos, 2005. Conference Paper · PDF
  • The ATLAS Collaboration. Muon Reconstruction and Identification for the Event Filter of the ATLAS experiment. 9th ICATAPP Conference on High Energy Physics, 2005. Conference Paper · PDF
  • The ATLAS Collaboration. Implementation and performance of a tau lepton selection within the ATLAS trigger system at the LHC. 9th ICATPP Conference on Astroparticle, Particle, Space Physics, Detectors and Medical Physics Applications, 2005. Conference Paper · PDF
  • André Anjos, R. C. Torres, B. C. Ferreira, T. C. Xavier and J. M. de Seixas. Discriminação Neural de Elétrons no Segundo Nível de Trigger do ATLAS. XXVI Encontro Nacional de Física de Partículas e Campos, 2005. Conference Paper · PDF

2004

  • J. T. Baines, C. P. Bee, A. Bogaerts, M. Bosman, D. Botterill, B. Caron, André Anjos, F. Etienne et al. An Overview of the ATLAS High-Level Trigger Dataflow and Supervision. IEEE Transaction on Nuclear Science, 2004. Journal Article · doi:10.1109/tns.2004.828875
  • The ATLAS Collaboration. ATLAS TDAQ data collection software. IEEE Transactions on Nuclear Science, 2004. Journal Article · PDF
  • The ATLAS Collaboration. Studies for a common selection software environment in ATLAS : from the Level-2 Trigger to the offline reconstruction. IEEE Transactions on Nuclear Science, 2004. Journal Article · PDF
  • The ATLAS Collaboration. Architecture of the ATLAS high level trigger event selection software. Nucl. Instrum. Methods Phys. Res., 2004. Journal Article · PDF
  • The ATLAS Collaboration. The base-line DataFlow system of the ATLAS Trigger and DAQ. IEEE Transactions on Nuclear Science, 2004. Journal Article · PDF
  • André Anjos and J. M. Seixas. Os Filtros de Alto Nível do Experimento ATLAS. XXVI Encontro Nacional de Física de Partículas e Campos, 2004. Conference Paper · PDF
  • The ATLAS Collaboration. Algorithms for the ATLAS high-level trigger. IEEE Transactions on Nuclear Science, 2004. Journal Article · PDF
  • André Anjos on behalf of the ATLAS Collaboration. The Second Level Trigger of the ATLAS Experiment at CERN's LHC. IEEE Transaction on Nuclear Science, 2004. Journal Article · PDF
  • The ATLAS Collaboration. Performance of the ATLAS DAQ DataFlow system. Computing in High Energy Physics and Nuclear Physics, 2004. Conference Paper · doi:10.5170/cern-2005-002.91
  • The ATLAS Collaboration. Online Muon Reconstruction in the ATLAS Level-2 trigger system. Nuclear Science Symposium and Medical Imaging Conference, 2004. Conference Paper · PDF
  • The ATLAS Collaboration. Portable Gathering System for Monitoring and Online Calibration at ATLAS. Computing in High Energy Physics and Nuclear Physics 2004, 2004. Conference Paper · PDF
  • The ATLAS Collaboration. Implementation and Performance of the High Level Trigger Electron and Photon Selection for the ATLAS Experiment at the LHC. IEEE Nuclear Science Symposium and Medical Imaging Conference, 2004. Conference Paper · PDF
  • The ATLAS Collaboration. Design, deployment and functional tests of the on-line Event Filter for the ATLAS experiment at LHC. Nuclear Science Symposium and Medical Imaging Conference, 2004. Conference Paper · PDF

2003

  • The ATLAS Collaboration. Experience with multi-threaded C++ applications in the ATLAS dataflow software. Conference for Computing in High-Energy and Nuclear Physics, 2003. Conference Paper · PDF
  • The ATLAS Collaboration. A New Implementation of the Region-of-Interest Strategy for the ATLAS Second Level Trigger. Conference for Computing in High-Energy and Nuclear Physics, 2003. Conference Paper · PDF
  • The ATLAS Collaboration. The Algorithm Steering and Trigger Decision mechanism of the ATLAS High Level Trigger. Conference for Computing in High-Energy and Nuclear Physics, 2003. Conference Paper · PDF
  • The ATLAS Collaboration. Architecture of the ATLAS online physics-selection software at LHC. Conference on Astroparticle, Particle, Space Physics, Detectors and Medical Physics Applications, 2003. Conference Paper · PDF
  • The ATLAS Collaboration. The baseline dataflow system of the ATLAS trigger and DAQ. 9th Workshop on Electronics for LHC Experiments, 2003. Conference Paper · PDF
  • The ATLAS Collaboration. The ATLAS HLT, DAQ and DCS Technical Design Report. CERN Publication, 2003. Report · PDF
  • André Anjos and J.M. Seixas. Neural particle discrimination for triggering interesting physics channels with calorimetry data. Nuclear Instruments And Methods In Physics Research A - Accelerators, Spectrometers, Detectors And Associated Equipament, 2003. Journal Article · doi:10.1016/s0168-9002(03)00553-9
  • The ATLAS Collaboration. The DataFlow System of the ATLAS Trigger and DAQ. Conference for Computing in High-Energy and Nuclear Physics, 2003. Conference Paper · PDF
  • The ATLAS Collaboration. An Overview of Algorithms for the ATLAS High Level Trigger. IEEE Transactions on Nuclear Science, 2003. Journal Article · PDF

2001

  • André Anjos and J.M. Seixas. Redes Neurais especialistas para a separação Elétron-Jato usando Calorímetros multi-camadas e multi-segmentados. XXII Encontro Nacional de Física de Partículas e Campos, 2001. Conference Paper · PDF
  • André Anjos. Sistema neuronal rápido de decisão baseado em calorimetria de altas energias. , 2001. Thesis · PDF

2000

  • André Anjos and José Manoel de Seixas. Mapeamento em anéis para uma separação neuronal elétron-jato usando calorímetros multi-camadas e multi-segmentados. XIX Encontro Nacional de Física de Partículas e Campos, 2000. Conference Paper · PDF

1999

  • André Anjos and José Manoel de Seixas. Integrando Plataformas e Algoritmos para o Segundo Nível de Trigger do Experimento ATLAS. Encontro Nacional de Física de Partículas e Campos, 1999. Conference Paper · PDF

1998

  • J.M. Seixas, L.P. Caloba, André Anjos, B. Kastrup, A.C.H. Dantas and R. Linhares. A neural online triggering system based on parallel processing. IEEE Transactions on Nuclear Science, 1998. Journal Article · doi:10.1109/23.710942
  • André Anjos, Augusto Dantas and José Manoel de Seixas. Um Protótipo do Sistema de Validação do Nível 2 para as Condições do LHC. Encontro Nacional de Física de Partículas e Campos, 1998. Conference Paper · PDF
  • J. M. Seixas, André Anjos, C. B. Prado, L. P. Calôba, A. C. H. Dantas and J. C. R. Aguiar. Neural classifiers implemented in a transputer based parallel machine. International Meeting on Vector and Parallel Processing (VECPAR), 1998. Conference Paper · PDF

1997

  • J.M. Seixas, L.P. Calôba, André Anjos, A.C.H. Dantas and R. Linhares. Fast Neural Decision System Based On DSPs And Parallel Processing. International Conference on Signal Processing Applications and Technologies, San Diego, USA, 1997. Conference Paper · PDF
  • André Anjos. Sistema de classificação baseado em uma máquina com sistema distribuído. , 1997. Thesis · PDF

1996

  • J.M. Seixas, L.P. Calôba and André Anjos. Particle discrimination using sub-optimal filtering techniques. Congresso Brasileiro de Automatica (CBA), São Paulo, Brasil, 1996. Conference Paper · PDF