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To treat or not to treat: Predicting Asthma Patient' Responsiveness to Omalizumab Using Machine Learning

• Authors : Kidwai, Sarah; Barbiero, Pietro; Meijerman, Irma ...

Subjects: anti-IgE; asthma; biomarkerUtrecht; Netherlands

• Source: UIPS biennial symposium 2024 ; https://hal.science/hal-04634934 ; UIPS biennial symposium 2024, Jan 2024, Utrecht, Netherlands

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Détection non-supervisée d'anomalies dans le trafic réseau grâce à une approche se basant sur le Double Deep Q-Learning

• Authors : Saghrouchni, Bilel; Le Mouël, Frédéric; Szanto, Bogdan ...

Subjects: Double Deep Q-Learning; [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]; [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Lyon; France

• Source: Journée Scientifique AILyS ; https://hal.science/hal-04631046 ; Journée Scientifique AILyS, Jun 2024, Lyon, France

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Segmentation d'IRM multimodales par réseaux de neurones : Stratégies de transfert d'apprentissage pour des ensembles de données de taille limitée

• Authors : Talba Malla Tchamedeu, Liliane Daniela; Lambert, Benjamin; Coudert, Thomas ...

Subjects: Medical image processing; Deep Learning; Transfer LearningGrenoble; France

• Source: IABM 2024 - Colloque français d’intelligence artificielle en imagerie biomédicale ; https://hal.science/hal-04541089 ; IABM 2024 - Colloque français d’intelligence artificielle en imagerie

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Deep Reinforcement Learning for Automated Cyber-Attack Path Prediction in Communication Networks ; Apprentissage par renforcement pour la prévision automatisée du chemin des cyberattaques dans les réseaux de communication

• Authors : Terranova, Franco; Lahmadi, Abdelkader; Chrisment, Isabelle ...

Subjects: Reinforcement Learning; Cybersecurity; Cyber AttackGeilo; Norway

• Source: Geilo Winter School 2024 - Graphs and Applications ; https://hal.science/hal-04462876 ; Geilo Winter School 2024 - Graphs and Applications, Jan 2024, Geilo, Norway

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From Political Debates to Deliberative Democracy: A Roadmap to Assess Semi-Supervised Argument Mining with DISPUTool Anonymous

• Authors : Cardellino, Cristian; Villata, Serena; Cabrio, Elena ...

Subjects: argument mining; natural language processing; semi-supervised learningTorino; Italy

• Source: The First Workshop on Language-driven Deliberation Technology (DELITE2024) ; https://hal.science/hal-04567307 ; The First Workshop on Language-driven Deliberation Technology (DELITE2024), May 2024,

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Data integration of transcriptomic and metabolomic data in a cohort of patients with pancreatic neuroendocrine tumors.

• Authors : Marsac, Benjamin; Coppin, Lucie; Jannin, Arnaud ...

Subjects: Omics analyses; Data integration; TumorToulouse; France

• Source: JOBIM - Journées ouvertes en biologie, informatique, et mathématiques 2024 ; https://hal.science/hal-04664185 ; JOBIM - Journées ouvertes en biologie, informatique, et mathématiques 2024, Jun

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A criticality-Guided Sampling Strategy for test scenarios reduction for driving automation validation

• Authors : Blache, Hugues; Laharotte, Pierre-Antoine; Faouzi, Nour-Eddin El ...

Subjects: [SPI.GCIV.IT]Engineering Sciences [physics]/Civil Engineering/Infrastructures de transport; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Washington; United StatesWashington, United States

• Source: TRB Annual Meeting 2024 ; https://hal.science/hal-04638486 ; TRB Annual Meeting 2024, Jan 2024, Washington, United States

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Optimal Strategy for Spatial Inference of Speed Profiles on Large Scale Road Network: OSSI-SPLN

• Authors : Laharotte, Pierre-Antoine; Bonnetain, Loic; Guillot, Matthieu ...

Subjects: Speed profiles; Optimal Sensor Location; Large Road NetworkWahington DC; United StatesWahington DC, United States

• Source: TRB Annual Meeting 2024 ; https://hal.science/hal-04638507 ; TRB Annual Meeting 2024, Jan 2024, Wahington DC, United States

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Distributed Perimeter Control for Urban Road Network Considering Heterogeneous Cordon Traffic Conditions

• Authors : Yu, Jiajie; Laharotte, Pierre-Antoine; Han, Yu ...

Subjects: reinforcement learning; Perimeter control; heterogeneous traffic conditionsWashington; United StatesWashington, United States

• Source: TRB Annual Meeting 2024 ; https://hal.science/hal-04638500 ; TRB Annual Meeting 2024, Jan 2024, Washington, United States

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Leveraging ontology structure for machine learning in knowledge graphs ; Mise en valeur des ontologies pour l'apprentissage automatique dans les graphes de connaissances

• Authors : Butz, Elliot, Hugo; Azé, Jérôme; Todorov, Konstantin ...

Subjects: Ontology; Gene Ontology; Similarity measureToulouse; France

• Source: JOBIM 2024 - 24es Journées Ouvertes en Biologie, Informatique et Mathématiques ; https://hal.science/hal-04636636 ; JOBIM 2024 - 24es Journées Ouvertes en Biologie, Informatique et Mathématiques,

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MusaDeepMosaic: Development of a machine learning Genomic Mosaic classifier tool.

• Authors : Vicens, Romain; Cenci, Alberto; Martin, Guillaume ...

Subjects: Musa; Machine Learning; BitmapToulouse; France

• Source: JOBIM2024 : Journées Ouvertes en Biologie, Informatique, et Mathématiques - 2024 ; https://hal.science/hal-04634285 ; JOBIM2024 : Journées Ouvertes en Biologie, Informatique, et Mathématiques -

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An Initial Systematic Review on Intersubjectivity and Play: a solid foundation for learning?

• Authors : Dario, Nadia; Lund, Kristine;

Subjects: intersubjectivity; play; learningBuffalo; New York; United States

• Source: ISLS Annual Meeting 2024 ; https://hal.science/hal-04582045 ; ISLS Annual Meeting 2024, Jun 2024, Buffalo, New York, United States. International Conference of the

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Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains ; Jargon : Une suite de modèles de langues et de référentiels d'évaluation pour les domaines spécialisés du français

• Authors : Segonne, Vincent; Mannion, Aidan; Alonzo-Canul, Laura ...

Subjects: Self-supervised learning; Pretrained language models; Evaluation benchmarkToulouse; France

• Source: JEP 2024 - 35es Journées d'Études sur la Parole ; https://inria.hal.science/hal-04622997 ; Corine Astésano; Christine Sénac; Isabelle Ferrané; Jérôme Farinas; Anna Marczyk; Mathieu Balaguer;

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Active learning reliability analysis for the design of reinforced concrete rail bridges

• Authors : Achhab, Mouhammed; Jehel, Pierre; Gatuingt, Fabrice ...

Subjects: Reliability analysis; Active learning; Surrogate model metamodelGif-sur-yvette; France

• Source: LMP(hD)'S Day (LMPS) ; https://hal.science/hal-04613653 ; LMP(hD)'S Day (LMPS), Jun 2024, Gif-sur-yvette, France

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Sensibilité des indices de qualité d'un classifieur probabiliste ; : Sensitivity of probabilistic classifier quality indices

• Authors : Dieye, Ndeye Awa; Niang, Ndèye; Russolillo, Giorgio ...

Subjects: Discrimination; Reliability; Probabilistic classifierDijon; France

• Source: Extraction et la Gestion des Connaissances 2024 ; https://cnam.hal.science/hal-04587468 ; Extraction et la Gestion des Connaissances 2024, Jan 2024, Dijon, France. Revue des Nouvelles Technologies de

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Towards the Improvement of Forest Leaf Area Index Assessed from Sentinel-2 Imagery by Integrating LiDAR Information

• Authors : Corroyez, Nathan; Durrieu, Sylvie; Féret, Jean-Baptiste ...

Subjects: Remote sensing; Forest; LidarVienna (AUSTRIA); France

• Source: EGU General Assembly 2024 ; https://hal.science/hal-04583931 ; EGU General Assembly 2024, Apr 2024, Vienna (AUSTRIA), France. 2024, ⟨10.5194/egusphere-egu24-17695⟩

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Enhancing visual scene categorization in people with age-related macular degeneration through perceptual learning

• Authors : Faurite, Cynthia; Michaud, Célia; Guénot, Jade ...

Subjects: Macular degeneration; Scene categorization; Perceptual learningGrenoble; France

• Source: Forum annuel du GDR Vision (GDR Vision 2024) ; https://hal.science/hal-04554693 ; Forum annuel du GDR Vision (GDR Vision 2024), Feb 2024, Grenoble, France

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Prédire l'évolution de la maladie de Parkinson à l'aide de données cliniques et d'IRM fonctionnelles: reproduction et robustesse d'une étude

• Authors : Germani, Elodie; Baghwat, Nikhil; Dugré, Mathieu ...

Subjects: Parkinson; machine learning; IRMfGrenoble; France

• Source: IABM 2024 - 2ème édition du Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale ; https://inserm.hal.science/inserm-04531392 ; IABM 2024 - 2ème édition du Colloque Français

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Automated Bio-Production Pipeline

• Authors : Hérisson, Joan; Duigou, Thomas; Gricourt, Guillaume ...

Subjects: Synthetic biology; Lab Automation; Machine LearningCopenhagen; Denmark

• Source: The Automated Scientist ; https://hal.science/hal-04408969 ; The Automated Scientist, Mar 2024, Copenhagen, Denmark

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Explainable Anomaly Detection for Context Semantic Awareness

• Authors : Yang, Hui; Khouadjia, Mostepha, Redouane; Seghouani, Nacéra, Bennacer ...

Subjects: Video Anomaly detection; Explainability; Unsupervised LearningGif sur Yvette; France

• Source: Workshop HyCHA (Hybridation Connaissances, Humain et Apprentissage Statistique) ; https://hal.science/hal-04521991 ; Workshop HyCHA (Hybridation Connaissances, Humain et Apprentissage Statistique),

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Toward a New Framework for XR-Adaptive Ethical Design: aState of the Art ; Vers un nouveau modèle pour une conception de technologie XR-adaptative éthique : un état de l’art

• Authors : Rouyer, Romain; Bourguignon, David; Fleck, Stéphanie ...

Subjects: User eXperience; Well - being; EthicsSorbonne Université (Paris); France

• Source: 35ème conférence internationale francophone sur l’interaction humain-machine (IHM’24)https://hal.science/hal-0454888935ème conférence internationale francophone sur l’interaction

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Cooperation: Adaptability of shared functions between Humans and Machines -Design and evaluation

• Authors : Tula, Sridath; Pacaux-Lemoine, Marie-Pierre; Grislin-Le Strugeon, Emmanuelle ...

Subjects: Agent; Cooperation; Human-Robot CooperationMons; Belgium

• Source: Mardi des Chercheurs ; https://hal.science/hal-04554391 ; Mardi des Chercheurs, Mar 2024, Mons, Belgium

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Well-written Knowledge Graphs Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Text (Student Abstract)

• Authors : Ringwald, Celian; Gandon, Fabien; Faron, Catherine ...

Subjects: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]VancouverVancouver, Canada

• Source: AAAI 24 - 38th Annual AAAI Conference on Artificial Intelligence ; https://hal.science/hal-04526132 ; AAAI 24 - 38th Annual AAAI Conference on Artificial Intelligence, Feb 2024, Vancouver, Canada. ;

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Well-Written Knowledge Graphs ; Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract)

• Authors : Ringwald, Celian; Gandon, Fabien; Faron, Catherine ...

Subjects: NLP Natural Language Processing; Knowlede Graph; Semantic webVancouver (BC)Vancouver (BC), Canada

• Source: AAAI 2024 ; https://hal.science/hal-04384724 ; AAAI 2024, Feb 2024, Vancouver (BC), Canada. , 2024 ; https://aaai.org/aaai-conference/

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Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs Applying Large Language Models to Wikipedia & the Linked Open Data (POSTER)

• Authors : Ringwald, Celian; Gandon, Fabien; Faron, Catherine ...

Subjects: Semantic Web; Knowlede Graph; NLPVancouver; France

• Source: AAAI 2024 - 38th Annual AAAI Conference on Artificial Intelligence ; https://hal.science/hal-04526139 ; AAAI 2024 - 38th Annual AAAI Conference on Artificial Intelligence, Feb 2024, Vancouver, France.

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Transformative Workshop Delivery through SURF's Cloud- Based Solutions ...

• Authors : Speed, Garrett; Treep, Jelle; Kandylas, Aristotelis

Subjects: open science; python; SURF

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Building a repository of data science and machine learning applications ...

• Authors : Kochari, Arnold

Subjects: application repository; data science app sharing; machine learning model sharing

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Training design as a workflow: producing adaptable and reusable learning pathways for Arts and Humanities ...

• Authors : Avanço, Karla; Mystakopoulos, Fotis

Subjects: Open Science; Training; FAIR Principles

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FedROS: The ROS Framework for Federated Learning on Mobile Edge Devices ...

• Authors : Carnevale, Lorenzo; Gambito, Mark Adrian; Marino, Roberto

Subjects: Federated Learning; Composability; Platform as a Service

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Sustainable Agriculture: Vertical Farming, Artificial Intelligence and Bio-Fertiliser; The Future of Farming ...

• Authors : Vaccaro, Natasha; Hernandez, J. Ernesto

Subjects: sustainability; Sustainable agriculture; vertical farming

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Temporal Domain Adaptation for Historical Irish ...

• Authors : Dereza, Oksana

Subjects: Irish; Early Modern Irish; Historical Irish

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Compressed Latent Replays for lightweight continual learning on Spiking Neural Networks ...

• Authors : Carpegna, Alessio

Subjects: Continual Learning; Latent Replay; Spiking Neural Networks

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Students and Community Partners Navigating Food Insecurity, Many Data Points at a Time: Overview of Georgia State University Library's Public Interest Data Literacy (PIDLit) Learning Lab Course ...

• Authors : Swygart-Hobaugh, Mandy

Subjects: Active learning; Data science

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Megasiedlung Maidanetske - Wie Mensch und KI von unterirdischen Häuserresten auf das Leben vor über 5000 Jahren schließen ...

• Authors : Strohm, Steffen; Wunderlich, Tina; Göhring, Andrea

Subjects: Archaeology; Prospection; Magnetic

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VARIATION IN THROMBOLYSIS USE AND THE POTENTIAL EFFECT ON OUTCOMES IN ENGLAND AND WALES: AN OBSERVATIONAL MACHINE LEARNING STUDY ...

• Authors : Pearn, Kerry; Allen, Michael; Laws, Anna

Subjects: Machine learning; Stroke

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Learning the dynamic of clusters of vertices in a graph for District Heating Network simplification ; Apprentissage de la dynamique de clusters de noeuds dans un graphe pour la simplification des réseaux de chaleur urbains

• Authors : Rodrigue, Dubon; Mabrouk, Mohamed Tahar; Pasdeloup, Bastien ...

Subjects: District heating network; Graph signal processing; Machine LearningOxford; United Kingdom

• Source: Graph Signal Processing workshop 2023 ; https://hal.science/hal-04639200 ; Graph Signal Processing workshop 2023, Jun 2023, Oxford, United Kingdom

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LEAND: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract)

• Authors : Gallego-Mejia, Joseph A.; Bustos-Brinez, Oscar; Gonzalez, Fabio A

Subjects: Machine Learning; Anomaly Detection; Quantum Machine Learning

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EEG-to-fMRI Neuroimaging Cross Modal Synthesis in Python

• Authors : David Calhas

Subjects: Electroencephalography; Functional Magnetic Resonance Imaging; Synthesis

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Artificial Intelligence, New Technologies, and Academic Integrity Concerns: A Positive Fightback Through Teaching Effectiveness and Reinforced Learning

• Authors : Yoosefdoost, Arash; Jariwala, Hiral; Santos, Rafael M.

Subjects: Artificial Intelligence; Academic Integrity; ChatGPT

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Evolution Poster

• Authors : Berry Billingsley

Subjects: Sustainability; Teaching; Science

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Remote Learning & Online Fatigue: Exploring the Live and Pre-Recorded Tutorials Impacts on Teaching Effectiveness and Students' Learning

• Authors : Yoosefdoost, Arash; Fantucci, Hugo; Abu El Haija, Karam

Subjects: Remote Learning; Online Fatigue; Live Tutorials

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Using ensemble learning and interpretable machine learning to assess flash flood susceptibility - A GIS-based Watershed Similarity Analysis

• Authors : Guan, Zheng; Zhang, Xiaoxiang; Yao, Jing

Subjects: Flash flood susceptibility; Tree-based Ensemble Learning; Machine Learning

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Modeling Prototypicality and Uncertainty in Genre Concepts

• Authors : Schroeter, Julian;

Subjects: Paper; Poster; prototype theory

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AI-Assisted Performance Analysis: Deep Learning for Live and Archival Theater

• Authors : Rau, Michael J.; Broadwell, Peter; Wiles, Simon ...

Subjects: Paper; Poster; deep learning

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Efficient Non-Parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection

• Authors : Gallego-Mejia, Joseph A.; Gonzalez, Fabio A

Subjects: Machine Learning; PhD Thesis; Statistity

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Compression Study on Federated Learning ; Étude de compression sur l'apprentissage fédéré

• Authors : Grativol Ribeiro, Lucas; Leonardon, Mathieu; Muller, Guillaume ...

Subjects: Federated Learning; Compression; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]Lyon; France

• Source: Assemblée Générale 2023 du GdR ISIS ; https://hal.science/hal-04251991 ; Assemblée Générale 2023 du GdR ISIS, May 2023, Lyon, France

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Bias mitigation for collaborative and ethical learning on dynamic data ; Atténuation des biais pour l'apprentissage collaboratif et éthique sur des données dynamiques.

• Authors : Ferraguig, Lynda; Benoit, Alexandre; Loukil, Faiza ...

Subjects: Federated Learning; AI; Distributed Machine LearningLouvain-la-Neuve; Belgium

• Source: Symposium on Intelligent Data Analysis (IDA 2023) ; https://hal.science/hal-04106967 ; Symposium on Intelligent Data Analysis (IDA 2023), Apr 2023, Louvain-la-Neuve,, Belgium

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Improving self-supervised 3D face reconstruction with few-shot transfer learning

• Authors : Dornier, Martin; Gosselin, Philippe-Henri; Ricquebourg, Yann ...

Subjects: 3D face reconstruction; transfer learning; self-supervised learningRennes; France

• Source: ACM MIG 2023 ; https://hal.science/hal-04290214 ; ACM MIG 2023, Nov 2023, Rennes, France. The 16th Annual ACM SIGGRAPH Conference on Motion, Interaction and Games

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Reduced order models applied to laminar diffusion CH4/air flames

• Authors : Lopes Monteiro de Barros Junqueira, Nicole; Figueira da Silva, Luís Fernando; da Costa Ramos, Louise ...

Subjects: Machine learning; Computational fluid dynamics; Non-premixed flmaesThuwal; Saudi Arabia

• Source: KAUST Research Conference: AI for Energy ; https://hal.science/hal-04103841 ; KAUST Research Conference: AI for Energy, Mar 2023, Thuwal, Saudi Arabia

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CONCERTO: Coherence & Functional Connectivity Graph Network

• Authors : Aristimunha, Bruno; Camargo, Raphael Yokoingawa De; Pinaya, Walter Hugo Lopez ...

Subjects: Deep Learning; Graph Neural Network; Functional ConnectivityParis; France

• Source: Journée CORTICO 2023 ; https://hal.science/hal-04121445 ; Journée CORTICO 2023, May 2023, Paris, France. 2023

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