The hyPEr ExpeRt collaborative AI assistant

Informacje na temat projektu

PEER

Identyfikator umowy o grant: 101120406

DOI

10.3030/101120406

Data podpisania przez KE 26 Czerwca 2023

Data rozpoczęcia 1 Października 2023

Data zakończenia 30 Września 2027

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 7 737 900,00

Wkład UE

€ 7 737 900,00

Koordynowany przez

VRIJE UNIVERSITEIT BRUSSEL
Belgium

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

Peer reviewed articles (5)

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

Autorzy: Fábio Neves-Moreira, Pedro Amorim
Opublikowane w: International Journal of Production Economics, Numer 267, 2023, ISSN 0925-5273
Wydawca: 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

Autorzy: Miguel Lunet, Marjolein Buisman, Fábio Neves-Moreira, Pedro Amorim
Opublikowane w: International Journal of Production Economics, Numer 297, 2026, ISSN 0925-5273
Wydawca: Elsevier BV
DOI: 10.1016/J.IJPE.2026.110007

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

Autorzy: Sérgio Teixeira, Rafael Arrais
Opublikowane w: Discover Artificial Intelligence, 2026, ISSN 2731-0809
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S44163-026-01221-3

Stochastic dynamic inventory-routing: A comprehensive review

Autorzy: Francisco Maia, Gonçalo Figueira, Fábio Neves-Moreira
Opublikowane w: Computers & Operations Research, Numer 189, 2026, ISSN 0305-0548
Wydawca: Elsevier BV
DOI: 10.1016/J.COR.2026.107383

Optimizing online grocery service: From customer understanding to multichannel profitability

Autorzy: Daniela Fernandes, Fábio Neves-Moreira, Pedro Amorim, Jan C. Fransoo
Opublikowane w: European Journal of Operational Research, 2026, ISSN 0377-2217
Wydawca: Elsevier BV
DOI: 10.1016/J.EJOR.2026.01.051

Conference proceedings (8)

Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic

Autorzy: Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma
Opublikowane w: 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
Wydawca: 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

Autorzy: Miguel Lunet, Daniela Fernandes, Fábio Neves-Moreira, Pedro Amorim
Opublikowane w: Proceedings of the Genetic and Evolutionary Computation Conference, 2025
Wydawca: ACM
DOI: 10.1145/3712256.3726361

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

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

Where (not) to Cross the Street

Autorzy: Leah van Oorschot, Dimitris Michailidis, Niek IJzerman, Shayla Jansen, Diederik Roijers
Opublikowane w: BNAIC/BeNeLearn 2024 (Conference)
Wydawca: BNAIC/BeNeLearn 2024

Towards Differentiating Between Failures and Domain Shifts in Industrial Data Streams

Autorzy: Natalia Wojak-Strzelecka, Szymon Bobek, Grzegorz Nalepa, Jerzy Stefanowski
Opublikowane w: Embracing Human-Aware AI in Industry 2024 at ECAI 2024
Wydawca: Proceedings in ECAI 2024

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

Autorzy: Fábio Neves-Moreira, Daniela Fernandes, Miguel Lunet, Pedro Amorim
Opublikowane w: XAI Workshop at IJCAI 2024
Wydawca: XAI Workshop at IJCAI 2024

MOMAland: Benchmarking Multi-Objective Multi-Agent Reinforcement Learning

Autorzy: 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
Opublikowane w: Multi-Objective Decision Making Workshop at ECAI 2024
Wydawca: 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

Autorzy: Willem Röpke, Diederik M Roijers, Ann Nowé, Roxana Radulescu, Hendrik Baier
Opublikowane w: Multi-Objective Decision Making Workshop at ECAI 2024
Wydawca: Proceedings in Multi-Objective Decision Making Workshop at ECAI 2024