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ACSOS 2023: Toronto, ON, Canada
- IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023, Toronto, ON, Canada, September 25-29, 2023. IEEE 2023, ISBN 979-8-3503-3744-0
- Michail Tsenos, Aristotelis Peri, Vana Kalogeraki:
Energy Efficient Scheduling for Serverless Systems. 27-36 - Jenna Kline
, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth G. Campolongo, Matthew Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko:
A Framework for Autonomic Computing for In Situ Imageomics. 11-16 - Stefan Sarkadi
An Arms Race in Theory-of-Mind: Deception Drives the Emergence of Higher-level Theory-of-Mind in Agent Societies. 1-10 - Ha-Nhi Ngo, Elsy Kaddoum, Marie-Pierre Gleizes, Jonathan Bonnet, Anaïs Goursolle:
Continuous learning and cooperative prediction for traffic dynamics by Adaptive Multi-Agent Systems. 17-26 - Gabriele Gualandi, Alessandro V. Papadopoulos:
Worst-Case Impact Assessment of Multi-Alarm Stealth Attacks Against Control Systems with CUSUM-Based Anomaly Detection. 117-126 - Emilio Incerto, Roberto Pizziol, Mirco Tribastone:
μOpt: An Efficient Optimal Autoscaler for Microservice Applications. 67-76 - Aamir Akbar, Samir B. Belhaouari:
SaVE: Self-aware Vehicular Edge Computing with Efficient Resource Allocation. 157-162 - Anwesha Das, Alex Aiken:
Prolego: Time-Series Analysis for Predicting Failures in Complex Systems. 77-86 - Aristotelis Peri, Michail Tsenos, Vana Kalogeraki:
Orchestrating the Execution of Serverless Functions in Hybrid Clouds. 139-144 - Andreas Margraf, Henning Cui, Anthony Stein, Jörg Hähner:
Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming. 133-138 - Udo Schilcher, Christoph W. Rauter, Christian Bettstetter:
Radii of Emergent Patterns in Swarmalator Systems. 151-156 - Paul-Andrei Dragan, Andreas Metzger, Klaus Pohl:
Towards the decentralized coordination of multiple self-adaptive systems. 107-116 - Michal Töpfer
Online ML Self-adaptation in Face of Traps. 57-66 - Roberto Casadei
Self-Organisation Programming: A Functional Reactive Macro Approach. 87-96 - Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki:
Prediction-driven resource provisioning for serverless container runtimes. 1-6 - Jumman Hossain
CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning. 127-132 - Stefano Mariani, Franco Zambonelli:
Learning Stigmergic Communication for Self-organising Coordination. 47-56 - Asimina Mertzani, Josiah Ober, Jeremy Pitt:
Θ-Learning: An Algorithm for the Self-Organisation of Collective Self-Governance. 97-106 - Gianluca Aguzzi, Mirko Viroli, Lukas Esterle:
Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks. 37-46
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last updated on 2024-12-23 19:17 CET by the dblp team
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