The hyPEr ExpeRt collaborative AI assistant

Informazioni relative al progetto

PEER

ID dell’accordo di sovvenzione: 101120406

DOI

10.3030/101120406

Data della firma CE 26 Giugno 2023

Data di avvio 1 Ottobre 2023

Data di completamento 30 Settembre 2027

Finanziato da

• Digital, Industry and Space

Costo totale

€ 7 737 900,00

Contributo UE

€ 7 737 900,00

Coordinato da

VRIJE UNIVERSITEIT BRUSSEL
Belgium

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (3)

Dissemination & Communication Plan (1st version)

Detailed exploitation, communication and dissemination plan, to ensure effective exploitation and dissemination of the project results and communication throughout the project geared towards engaging stakeholders and relevant different profiles (targeted audiences). This strategy will address communication objectives and approach, target audience, media channels and tools, messages, activities, materials and KPIs.

AI co-creation representations

Set of developed AI representation through tech cards.

Measurement scales and metrics for trustworthy AI

This deliverable will provide the definition of the different scales and metrics to measure acceptance of AI systems. It will also provide the tools and protocols to measure it.

Pubblicazioni

Peer reviewed articles (5)

Learning efficient in-store picking strategies to reduce customer encounters in omnichannel retail

Autori: Fábio Neves-Moreira, Pedro Amorim
Pubblicato in: International Journal of Production Economics, Numero 267, 2023, ISSN 0925-5273
Editore: Elsevier BV
DOI: 10.1016/j.ijpe.2023.109074

Aged products spillover effect and the value of holding inventory under stochastic demand: the case of Port wine

Autori: Miguel Lunet, Marjolein Buisman, Fábio Neves-Moreira, Pedro Amorim
Pubblicato in: International Journal of Production Economics, Numero 297, 2026, ISSN 0925-5273
Editore: Elsevier BV
DOI: 10.1016/J.IJPE.2026.110007

A generative AI framework for digital twin maintenance in dynamic retail environments

Autori: Sérgio Teixeira, Rafael Arrais
Pubblicato in: Discover Artificial Intelligence, 2026, ISSN 2731-0809
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S44163-026-01221-3

Stochastic dynamic inventory-routing: A comprehensive review

Autori: Francisco Maia, Gonçalo Figueira, Fábio Neves-Moreira
Pubblicato in: Computers & Operations Research, Numero 189, 2026, ISSN 0305-0548
Editore: Elsevier BV
DOI: 10.1016/J.COR.2026.107383

Optimizing online grocery service: From customer understanding to multichannel profitability

Autori: Daniela Fernandes, Fábio Neves-Moreira, Pedro Amorim, Jan C. Fransoo
Pubblicato in: European Journal of Operational Research, 2026, ISSN 0377-2217
Editore: Elsevier BV
DOI: 10.1016/J.EJOR.2026.01.051

Conference proceedings (8)

Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic

Autori: Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma
Pubblicato in: 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
Editore: Proceedings of the 27th European Conference on Artificial Intelligence
DOI: 10.48550/arXiv.2407.10820

Symbolic Pricing Policies for Attended Home Delivery - the Case of an Online Retailer

Autori: Miguel Lunet, Daniela Fernandes, Fábio Neves-Moreira, Pedro Amorim
Pubblicato in: Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Editore: ACM
DOI: 10.1145/3712256.3726361

Planning for Human-Robot Collaboration Scenarios with Heterogeneous Costs and Durations

Autori: Silvia Izquierdo-Badiola, Gerard Canal, Guillem Alenyà, Carlos Rizzo, Andrew Coles
Pubblicato in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editore: IOS Press
DOI: 10.3233/FAIA241019

Where (not) to Cross the Street

Autori: Leah van Oorschot, Dimitris Michailidis, Niek IJzerman, Shayla Jansen, Diederik Roijers
Pubblicato in: BNAIC/BeNeLearn 2024 (Conference)
Editore: BNAIC/BeNeLearn 2024

Towards Differentiating Between Failures and Domain Shifts in Industrial Data Streams

Autori: Natalia Wojak-Strzelecka, Szymon Bobek, Grzegorz Nalepa, Jerzy Stefanowski
Pubblicato in: Embracing Human-Aware AI in Industry 2024 at ECAI 2024
Editore: Proceedings in ECAI 2024

Learning symbolic expressions to solve multi-period time slot pricing vehicle routing problems

Autori: Fábio Neves-Moreira, Daniela Fernandes, Miguel Lunet, Pedro Amorim
Pubblicato in: XAI Workshop at IJCAI 2024
Editore: XAI Workshop at IJCAI 2024

MOMAland: Benchmarking Multi-Objective Multi-Agent Reinforcement Learning

Autori: Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M Roijers, Jordan K. Terry, El-Ghazali Talbi, Gregoire Danoy, Ann Nowé, Roxana Radulescu
Pubblicato in: Multi-Objective Decision Making Workshop at ECAI 2024
Editore: Proceedings in Multi-Objective Decision Making Workshop at ECAI 2024
DOI: 10.48550/ARXIV.2407.16312

Model-Based Reinforcement Learning in Multi-Objective Environments with a Distributional Critic

Autori: Willem Röpke, Diederik M Roijers, Ann Nowé, Roxana Radulescu, Hendrik Baier
Pubblicato in: Multi-Objective Decision Making Workshop at ECAI 2024
Editore: Proceedings in Multi-Objective Decision Making Workshop at ECAI 2024