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

Conference proceedings (20)

Explanations for Sequential Decision-Making - An Overview

Autori: H. Baier, M. T. Keane, S. Sreedharan, S. Tulli, A. Verma
Pubblicato in: 2026
Editore: AAAI

Decision Making in Non-Stationary Environments with Policy-Augmented Search

Autori: Pettet, Ava; Zhang, Yunuo; Baiting, Luo; Wray, Kyle Hollins; Baier, Hendrik; Laszka, Aron; Dubey, Abhishek; Mukhopadhyay, Ayan
Pubblicato in: 2024
Editore: International Conference on Autonomous Agents and Multiagent Systems 2024 (AAMAS 2024)

Explainable Visual Anomaly Detection with Multimodal Models and Metadata-Augmented Prompts

Autori: Natalia Wojak-Strzelecka, Szymon Bobek, Mehrdad Asadi, Ann Nowe, Krzysztof Kutt, José García, Grzegorz J Nalepa
Pubblicato in: Interactive eXplainable AI, Theory and Practice, 2025
Editore: ECML'25

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

Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning

Autori: Sabri Manai, Szymon Bobek, Mehrdad Asadi, Ann Nowe, Grzegorz J. Nalepa
Pubblicato in: 26th International Conference on Computational Science, 2026
Editore: SmartSys

Congestion-Aware Multi-Agent Path Planning for Pick-Up and Delivery Tasks

Autori: Asadi, Mehrdad; Nowe, Ann; Ghofrani, Javad
Pubblicato in: Publication GECCO 2025, 2025
Editore: GECCO 2025

InnateCoder: Learning Programmatic Options with Foundation Models

Autori: Moraes, Rubens O.; Sadmine, Quazi Asif; Baier, Hendrik; Lelis, Levi
Pubblicato in: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, 2024
Editore: CPAIOR 2025
DOI: 10.24963/IJCAI.2025/851

Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution

Autori: Karol Dobiczek, Maciej Mozolewski, Szymon Bobek, Michał Szafarczyk, Peter van Dam, Grzegorz J. Nalepa
Pubblicato in: 26th International Conference on Computational Science
Editore: SmartSys

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

Multi-Objective Utility Actor Critic with Utility Critic for Nonlinear Utility Function

Autori: G. Peng, E. Pauwels, H. Baier
Editore: EWRL

Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling

Autori: Fatemeh Fazaeefar, Paolo Speziali, Szymon Bobek, Grzegorz J Nalepa, Diederik M Roijers, Ann Nowe, Mehrdad Asadi
Pubblicato in: SmartSys, 26th International Conference on Computational Science
Editore: SmartSys

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

Algorithm Configuration in Sequential Decision-Making

Autori: Begnardi, Luca; von Meijenfeldt, Bart; Baier, Hendrik; van Jaarsveld, Willem; Zhang, Yingqian
Pubblicato in: The 22nd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Editore: CPAIOR 2025

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

Preference Guided Iterated Pareto Referent Optimisation for Accessible Route Planning

Autori: Paolo Speziali, Arno De Greef, Mehrdad Asadi, Willem Röpke, Ann Nowé, Diederik M. Roijers
Pubblicato in: Adaptive and Learning Agents (ALA), 2025
Editore: AAMAS

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

Why and how to evaluate trustworthiness in AI?

Autori: Elise Durnerin, Joseph Gardette, Enola Constanceau, Aline Roc, Charles Fage
Pubblicato in: 3rd European Symposium on Artificial Intelligence in Manufacturing, 2025
Editore: ESAIM 2025

Peer reviewed articles (7)

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

Derivation-Based Calibration of IMUs Using Savitzky–Golay Filters

Autori: Diogo Vieira, Miguel Oliveira, Rafael Arrais
Pubblicato in: Sensors, Numero 26, 2026, ISSN 1424-8220
Editore: MDPI AG
DOI: 10.3390/S26061788

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

ExplainTS: a benchmark dataset of pretrained models and post-hoc explanations for time-series classification

Autori: Maciej Mozolewski, Grzegorz J. Nalepa
Pubblicato in: Frontiers in Artificial Intelligence Sec. Machine Learning and Artificial Intelligence, 2026, ISSN 2994-7197
Editore: Frontiers
DOI: 10.3389/FRAI.2026.1759110

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

Thesis and dissertations (1)

Tackling In-Store Picking Operations by leveraging Proximal Policy Optimization

Autori: Miguel Cardoso Moreira, Tiago; Claro, João; Neves-Moreira, Fábio
Editore: InescT

Other (2)

A COMPUTER-IMPLEMENTED METHOD FOR RECOGNITION, LOCALIZATION AND VIRTUAL REPRESENTATION OF A PLURALITY OF OBJECTS IN A FACILITY COMPRISING A PLURALITY OF RACKS

Autori: Sérgio Teixeira, Rafael Arrais
Editore: EU patent application office

Collaborating with AI users in early stages of AI development

Autori: Ine van Zeeland, Ana Pop Stefanija, Rob Heyman, Enola Constanceau and Aline Roc
Editore: SMIT