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  1. Attività

European Learning and Intelligent Systems Excellence (ELISE)

Progetto
ELISE aims to make Europe competitive in AI through a network of excellence. The best European researchers in machine learning and AI have worked together to attract talent, to foster research through collaboration, and to inspire and be inspired by industry and society. While ELISE starts from machine learning as the current most prominent method of AI, the network invites in all ways of reasoning, considering all types of data, applicable for almost all sectors of science and industry. While being aware of data safety and security, and while striving to explainable and trustworthy outcomes we aim to create a force to Europe. ELISE will run a PhD student and a postdoc programme to attract and to educate world-class talents to Europe. It will operate a Fellows programme for groundbreaking research and high-profile workshops to develop AI methods applications further. Industry involvement is guaranteed by the many connections members of ELISE have with industry, on average one for every member and one start-up for every second member of ELISE. ELISE will demonstrate a fraction of their research in use cases to be implemented in AI4EU and the SME’s of Europe. Additional impact will be created to SME’s through open calls. The current practice of ELISE members of spin-off research in SME’s once a break-through is achieved will be stimulated through incubators. The current practice of participating in dissemination and debate that many members of ELISE are used to will be continued to develop a mature acceptance of AI throughout Europe for the benefit of all and in cooperation with all. ELISE is built on 105 organisations in total, in which the 202 core contributors have actively indicated they will help build and profit from the networks of PhD-students and scholars. ELISE includes 60 ERC grants of their active supporters. By their citation and other accepted scores of scientific quality, ELISE is the network that combines in Europe excellence in AI.
  • Dati Generali
  • Aree Di Ricerca
  • Pubblicazioni

Dati Generali

Partecipanti

CESA BIANCHI NICOLO' ANTONIO   Responsabile scientifico  

Dipartimenti coinvolti

Dipartimento di Informatica Giovanni Degli Antoni   Principale  

Tipo

H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action

Finanziatore

EUROPEAN COMMISSION
Organizzazione Esterna Ente Finanziatore

Capofila

CONSORZIO INTERUNIVERSITARIO NAZIONALE PER L'INFORMATICA - CINI

Periodo di attività

Novembre 1, 2020 - Ottobre 31, 2023

Durata progetto

36 mesi

Aree Di Ricerca

Settori


Settore INF/01 - Informatica

Pubblicazioni

Pubblicazioni (12)

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  • decrescente
  • Tutti
  • Articolo
  • Contributo in Atti di convegno
Bilateral trade: A regret minimization perspective 
MATHEMATICS OF OPERATIONS RESEARCH
INFORMS
2024
Articolo
Partially Open Access
Altmetric disabilitato. Abilitalo su "Utilizzo dei cookie"
Sublinear Algorithms for Local Graph-Centrality Estimation 
SIAM JOURNAL ON COMPUTING
SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2023
Articolo
Partially Open Access
Altmetric disabilitato. Abilitalo su "Utilizzo dei cookie"
Multitask Online Mirror Descent 
TRANSACTIONS ON MACHINE LEARNING RESEARCH
OPENREVIEW.NET
2022
Articolo
Open Access
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs 
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
CURRAN ASSOCIATES
2022
Contributo in Atti di convegno
Reserved Access
A Regret-Variance Trade-Off in Online Learning 
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
CURRAN ASSOCIATES
2022
Contributo in Atti di convegno
Reserved Access
Active Learning of Classifiers with Label and Seed Queries 
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
CURRAN ASSOCIATES
2022
Contributo in Atti di convegno
Reserved Access
Learning on the Edge: Online Learning with Stochastic Feedback Graphs 
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
CURRAN ASSOCIATES
2022
Contributo in Atti di convegno
Reserved Access
Nonstochastic Bandits and Experts with Arm-Dependent Delays 
PROCEEDINGS OF MACHINE LEARNING RESEARCH
PMLR
2022
Contributo in Atti di convegno
Open Access
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs 
PROCEEDINGS OF MACHINE LEARNING RESEARCH
PMLR
2021
Contributo in Atti di convegno
Open Access
Beyond Bandit Feedback in Online Multiclass Classification 
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
CURRAN ASSOCIATES
2021
Contributo in Atti di convegno
Open Access
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries 
PROCEEDINGS OF MACHINE LEARNING RESEARCH
PMLR
2021
Contributo in Atti di convegno
Open Access
ROI Maximization in Stochastic Online Decision-Making 
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
CURRAN ASSOCIATES
2021
Contributo in Atti di convegno
Open Access
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