- Francesco Giuliari:
Spatial Reasoning with Graph Neural Networks. University of Genoa, Italy, 2024 - Gabriel S. Gusmão:
Neural-network representations of chemical kinetics. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Andrew Jena:
Graph-Theoretic Techniques for Optimizing NISQ Algorithms. University of Waterloo, Ontario, Canada, 2024 - Marieke E. Kootte:
Integrated Electrical Steady-State Power Flow Simulations on Transmission and Distribution Networks. Delft University of Technology, Netherlands, 2024 - Firas Laakom:
Feature Diversity in Neural Networks: Theory and Algorithms. University of Tampere, Finland, 2024 - Clement Lacoste:
Resource dimensioning of Broadband satellite Return Networks affected by rain fade. University of Luxembourg, Luxembourg City, Luxembourg, 2024 - Elisa Gómez de Lope:
Interpreting Omics Data in Parkinson's Disease: A Statistical, Machine Learning, and Graph Representation Learning Approach. University of Luxembourg, Luxembourg City, Luxembourg, 2024 - Derek P. Metcalf:
Building Blocks of Neural Network Intermolecular Interaction Potentials. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Cesare Miglioli:
Contributions to the Statistical Analysis of Networks and Graphs. University of Geneva, Switzerland, 2024 - Alexander V. Nikitin:
Probabilistic Methods for Predictive Maintenance and Beyond: Graph and Human-in-the-Loop Machine Learning. Aalto University, Espoo, Finland, 2024 - Johannes von Oswald:
Interpretability of Learning Algorithms Encoded in Deep Neural Networks. ETH Zurich, Zürich, Switzerland, 2024 - Alisa Pavel:
Knowledge Graphs, Network Models and Health Data Science Approaches for Toxicology and Pharmacology. University of Tampere, Finland, 2024 - Kalina Petrova:
Embedding Large Structures in Adversarially Modified Graphs and Hypergraphs. ETH Zurich, Zürich, Switzerland, 2024 - Thorsten Rings:
Characterizing Time-Evolving Functional Networks. University of Bonn, Germany, 2024 - Siddhartha Sahu:
Optimizing Differential Computation for Large-Scale Graph Processing. University of Waterloo, Ontario, Canada, 2024 - Tuomas Takko:
Data-driven modelling of human behaviour with complex networks ; Ihmiskäyttäytymisen datalähtöinen mallintaminen kompleksisilla verkostoilla. Aalto University, Espoo, Finland, 2024 - Neda Tavakoli:
Algorithmic Techniques for Variant Selection in Genome Graphs. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Francesco Valente:
Design and evaluation of strategies to minimize operating costs and support in-orbit Distributed Learning within satellite networks for Earth Observation. Sapienza University of Rome, Italy, 2024 - Chunxing Yin:
Fast and compact neural network via Tensor-Train reparameterization. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - Hernan Carrillo:
Guiding neural networks for image colorization through user interactions. (Colorisation d'images avec réseaux de neurones guidés par l'intéraction humaine). University of Bordeaux, France, 2024 - Noé Cecillon:
Combining Graph and Text to Model Conversations: An Application to Online Abuse Detection. (Combinaison des graphes et du texte pour la modélisation de conversations: Application à la détection d'abus en ligne). Avignon University, France, 2024 - Karl Hajjar:
A dynamical analysis of infinitely wide neural networks. (Analyse dynamique des réseaux de neurones de largeur infinie). University of Paris-Saclay, France, 2024 - Jialin Hao:
Machine learning for road active safety in vehicular networks. (Apprentissage pour la sécurité dans les réseaux véhiculaires). Polytechnic Institute of Paris, Palaiseau, France, 2024 - Joe Saad:
Evolution of mobile networks architecture and optimization of radio resource management. (Evolution de l'architecture du réseau mobile et optimisation de la gestion des ressources radio). University of Paris-Saclay, France, 2024 - Rémy Scholler:
Analyse de données de signalisation mobile pour l'étude de la mobilité respectueuse de la vie privée : Application au secteur du transport routier de marchandises. (Analysis of mobile network data for the study of mobility, respectful of privacy : Application to the road freight transport sector). University of Burgundy - Franche-Comté, 2024 - Bin Wang:
Rainbow structures in properly edge-colored graphs and hypergraph systems. (Structures arc-en-ciel dans les graphes proprement arêtes-colorés et les systèmes des hypergraphes). Shandong University, Jinan, People's Republic of China, 2024 - Bin Duo, Xiaojun Yuan, Yifan Liu:
Securing Unmanned Aerial Vehicle Networks - Models and Algorithms, 7. Springer Briefs in Computer Science, Springer 2024, ISBN 978-3-031-45604-6, pp. 1-117 - Tetsuya Hoya:
Syntactic Networks - Kernel Memory Approach, 2. Studies in 1157, Springer 2024, ISBN 978-3-031-57311-8, pp. 1-112 - Joseph Migga Kizza:
Guide to Computer Network Security, 6th Edition. Texts in Computer Science, Springer 2024, ISBN 978-3-031-47548-1, pp. 3-637 - Lu Bai, Ziwei Huang, Xiang Cheng:
Propagation Characterization and Channel Modeling for UAV Communications. Wireless Networks, Springer 2024, ISBN 978-3-031-57502-0, pp. 1-226