Overcoming Multilevel INformation Overload

Informazioni relative al progetto

OMINO

ID dell’accordo di sovvenzione: 101086321

DOI

10.3030/101086321

Data della firma CE 20 Ottobre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 1 297 200,00

Coordinato da

POLITECHNIKA WARSZAWSKA
Poland

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)

WP2 mid-term progress report

Fairness and scientometric-enhanced information retrieval and recommendation to address IOL in different domains - mid-term progress report (objectives O1,O2)

WP4 mid-term progress report

Networked agent-based IOL models - mid-term progress report (objective O2).

WP3 mid-term progress report

Interplay between IOL and cognitive and affective states - mid-term progress report (objectives O1, O2)

Data Management Plan (1)

Data Management Plan

Creation of the Data Management Plan for the Consortium

Pubblicazioni

Conference proceedings (24)

Towards Model-Based Data Acquisition for Subjective Multi-Label NLP Problems

Autori: Kanclerz K., Bielaniewicz J., Gruza M., Kocoń J., Woźniak S., Kazienko P.
Pubblicato in: SENTIRE/ICDM 2023, 2023
Editore: will be IEEE

Bibliometric-Enhanced Information Retrieval: 13th International BIR Workshop (BIR 2023)

Autori: Frommholz, Ingo; Mayr, Philipp; Cabanac, Guillaume; Verberne, Suzan
Pubblicato in: Advances in Information Retrieval, 2023
DOI: 10.1007/978-3-031-28241-6_43

Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction

Autori: Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogaa, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz
Pubblicato in: Findings of the Association for Computational Linguistics ACL 2024, 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.findings-acl.652

Emotions Studied by Computer Scientists and Psychologists — A Complementary Perspective

Autori: Behnke M., Saganowski S., Kaczmarek Ł.D., Kazienko P.
Pubblicato in: PerCom/EmotionAware, 2023
Editore: IEEE
DOI: 10.1109/PerComWorkshops56833.2023.10150393

Embracing Subjectivity in Affective Research: Naturalistic and Controlled Settings

Autori: Dominika Kunc, Joanna Komoszyńska, Stanisław Saganowski, Przemysław Kazienko, Karen S. Quigley, Lisa Feldman Barrett
Pubblicato in: 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2025
Editore: IEEE
DOI: 10.1109/ACIIW63320.2024.00035

PALS: Personalized Active Learning for Subjective Tasks in NLP

Autori: Kanclerz K., Karanowski K., Bielaniewicz J., Gruza M., Miłkowski P., Kocoń J., Kazienko P.
Pubblicato in: EMNLP 2023, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.823

Graph-level representations using ensemble-based readout functions

Autori: Binkowski, Jakub; Sawczyn, Albert; Janiak, Denis; Bielak, Piotr; Kajdanowicz, Tomasz
Pubblicato in: ICCS 2023, Numero LNCS 14074, 2023
Editore: Springer
DOI: 10.48550/arxiv.2303.02023

The role of conformity in opinion dynamics modelling with multiple social circles.

Autori: Stępień, S., Jankowski, J., Bródka, P., Michalski, R.
Pubblicato in: Lecture Notes in Computer Science, Numero 10475, 2023, ISBN 978-3-031-36023-7
Editore: Springer
DOI: 10.1007/978-3-031-36024-4_3

Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis

Autori: Jan Kocoń; Joanna Baran; Kamil Kanclerz; Michał Kajstura; Przemysław Kazienko
Pubblicato in: Lecture Notes in Computer Science - Computational Science – ICCS 2023, 2023
DOI: 10.1007/978-3-031-35995-8_11

Automating the Analysis of Institutional Design in International Agreements

Autori: Anna Wróblewska; Bartosz Pieliński; Karolina Seweryn; Sylwia Sysko-Romańczuk; Karol Saputa; Aleksandra Wichrowska; Hanna Schreiber
Pubblicato in: Computational Science – ICCS 2023 ISBN: 9783031360237, 2023
DOI: 10.48550/arxiv.2305.16750

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings

Autori: Albert Sawczyn, Jakub Binkowski, Piotr Bielak, and Tomasz Kajdanowicz
Pubblicato in: LREC-COLING 2024, 2024
Editore: ACL

Bibliometric-Enhanced Information Retrieval: 13th International BIR Workshop (BIR 2023)

Autori: Frommholz, I., Mayr, P., Cabanac, G., & Verberne, S.
Pubblicato in: Advances in Information Retrieval, Numero 13982, 2023
Editore: Springer
DOI: 10.1007/978-3-031-28241-6_43

RAFEN -- Regularized Alignment Framework for Embeddings of Nodes

Autori: Tagowski, Kamil; Bielak, Piotr; Binkowski, Jakub; Kajdanowicz, Tomasz
Pubblicato in: ICCS 2023, Numero LNCS 14075, 2023
Editore: Springer
DOI: 10.48550/arxiv.2303.01926

Similarity-Based Memory Enhanced Joint Entity and Relation Extraction

Autori: Kościukiewicz, W., Wójcik, M., Kajdanowicz, T., Gonczarek, A.
Pubblicato in: ICCS 2023, Numero LNCS 14074, 2023
Editore: Springer
DOI: 10.48550/arxiv.2307.11762

Emognition system - wearables, physiology, and machine learning for real-life emotion capturing

Autori: Dominika Kunc, Joanna Komoszyska, Bartosz Perz, Stanisaw Saganowski, Przemysaw Kazienko
Pubblicato in: 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2024
Editore: IEEE
DOI: 10.1109/ACIIW59127.2023.10388097

Evaluating the Effectiveness of Research Grants with Journal Bibliometrics

Autori: Oleksy M., Kazienko P., Dzieżyc M.
Pubblicato in: BIR/ERIC 2023, Numero Vol. 3617, 2024
Editore: CEUR

Deepfake Tweets Automatic Detection

Autori: Adam Frej, Adrian Kamiński, Szymon Szmajdziński, and Piotr Marciniak, Soveatin Kuntur, Wróblewska, Anna
Pubblicato in: Progress in Polish Artificial Intelligence Research 5. Proceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI’2024) 18–20.04.2024, Warsaw, Poland, edited by Jacek Mańdziuk, Adam Żychowski, and Mikołaj Małkiński, 194—199, 2024
Editore: Politechnika Warszawska

Capturing Human Perspectives in NLP: Questionnaires, Annotations, and Biases

Autori: Mieleszczenko-Kowszewicz W., Kanclerz K., Bielaniewicz J., Oleksy M., Gruza M., Woźniak S., Dzięcioł E., Kazienko P., Kocoń J.
Pubblicato in: ECAI/NLPerspectives 2023, Numero Vol. 3494, 2023, ISSN 1613-0073
Editore: CEUR

From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection

Autori: Bielaniewicz J., Kazienko P.
Pubblicato in: SENTIRE/ICDM 2023, 2023
Editore: will be IEEE

Designing and Executing a Large-scale Real-life Affective Study

Autori: Joanna Komoszyska, Dominika Kunc, Bartosz Perz, Adam Hebko, Przemysaw Kazienko, Stanisaw Saganowski
Pubblicato in: 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2024
Editore: IEEE
DOI: 10.1109/PerComWorkshops59983.2024.10503142

Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows

Autori: Miłkowski P., Karanowski K., Wielopolski P., Kocoń J., Kazienko P., Zięba M.
Pubblicato in: SENTIRE/ICDM 2024, 2023
Editore: will be IEEE

Steel in Translation

Autori: Frommholz, I., Mayr, P., Cabanac, G., & Verberne, S. (2024). Bibliometric-Enhanced Information Retrieval: 14th International BIR Workshop (BIR 2024). In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.)
Pubblicato in: European Conference on Information Retrieval, Numero LNCS, Vol. 14612, pp. 442–446, 2024, ISSN 0967-0912
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-56069-9_61

Similarity-Based Memory Enhanced Joint Entity and Relation Extraction

Autori: Witold Kościukiewicz; Mateusz Wójcik; Tomasz Kajdanowicz; Adam Gonczarek
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031360206, Numero 14074, 2023
DOI: 10.48550/ARXIV.2307.11762

Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis

Autori: Kocoń J., Baran J., Kanclerz K., Kajstura M., Kazienko P.
Pubblicato in: Computational Science – ICCS 2023, Numero LNCS vol. 14073, 2023
Editore: Springer
DOI: 10.1007/978-3-031-35995-8_11

Peer reviewed articles (16)

A general model for how attributes can reduce polarization in social groups

Autori: Piotr J. Górski; Curtis Atkisson; Janusz A. Hołyst
Pubblicato in: Network Science, Numero Volume 11 Numero 4, 2023
Editore: Cambridge University Press
DOI: 10.1017/nws.2023.13

Comparative Analysis of Graph Neural Networks and Transformers for Robust Fake News Detection: A Verification and Reimplementation Study

Autori: Soveatin Kuntur, Maciej Krzywda, Anna Wrblewska, Marcin Paprzycki, Maria Ganzha
Pubblicato in: Electronics, Numero 13, 2024, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/electronics13234784

Reference coverage analysis of OpenAlex compared to Web of Science and Scopus

Autori: Jack H. Culbert, Anne Hobert, Najko Jahn, Nick Haupka, Marion Schmidt, Paul Donner, Philipp Mayr
Pubblicato in: Scientometrics, Numero 130, 2025, ISSN 0138-9130
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S11192-025-05293-3

Critical properties of Heider balance on multiplex networks

Autori: Krishnadas Mohandas, Krzysztof Suchecki, Janusz A. Hoyst
Pubblicato in: Physical Review E, Numero 109, 2024, ISSN 2470-0045
Editore: American Physical Society (APS)
DOI: 10.1103/PhysRevE.109.044306

Multidimensional attributes expose Heider balance dynamics to measurements

Autori: Joanna Linczuk; Piotr J. Górski; Boleslaw K. Szymanski; Janusz A. Hołyst
Pubblicato in: Scientific Reports, Numero 13, 2023, ISSN 2045-2322
Editore: Nature
DOI: 10.1038/s41598-023-42390-w

Network Diffusion Framework to Simulate Spreading Processes in Complex Networks

Autori: Michal Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musial, Radosaw Michalski, Piotr Brdka
Pubblicato in: Big Data Mining and Analytics, Numero 7, 2024, ISSN 2096-0654
Editore: Tsinghua University Press
DOI: 10.26599/BDMA.2024.9020010

Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor

Autori: Kazienko P., Bielaniewicz J., Gruza M., Kanclerz K., Karanowski K., Miłkowski P., Kocoń J.
Pubblicato in: Information Fusion, Numero Vol. 94, 2023
Editore: Elsevier
DOI: 10.1016/j.inffus.2023.01.010

ChatGPT: Jack of all trades, master of none

Autori: Kocoń J., Cichecki I., Kaszyca O., Kochanek M., Szydło D., Baran J., Bielaniewicz J., Gruza M., Janz A., Kanclerz K., Kocoń A., Koptyra B., Mieleszczenko-Kowszewicz W., Miłkowski P., Oleksy M., Piasecki M., Radliński Ł., Wojtasik K., Woźniak S., Kazienko
Pubblicato in: Information Fusion, Numero Vol. 99, 2023
Editore: Elsevier
DOI: 10.2139/ssrn.4372889

Under the Influence: A Survey of Large Language Models in Fake News Detection

Autori: Soveatin Kuntur, Anna Wrblewska, Marcin Paprzycki, Maria Ganzha
Pubblicato in: IEEE Transactions on Artificial Intelligence, 2024, ISSN 2691-4581
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TAI.2024.3471735

Improving Training Dataset Balance with ChatGPT Prompt Engineering

Autori: Mateusz Kochanek, Igor Cichecki, Oliwier Kaszyca, Dominika Szydo, Micha Madej, Dawid Jdrzejewski, Przemysaw Kazienko, Jan Koco
Pubblicato in: Electronics, Numero 13, 2025, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/electronics13122255

Identifying Key Nodes for the Influence Spread Using a Machine Learning Approach

Autori: Mateusz Stolarski, Adam Pirg, Piotr Brdka
Pubblicato in: Entropy, Numero 26, 2024, ISSN 1099-4300
Editore: MDPI AG
DOI: 10.3390/e26110955

When the crowd gets it wrong – the limits of collective wisdom in machine learning

Autori: Orzechowski, Kamil P.; Sienkiewicz, Julian; Fronczak, Agata; Fronczak, Piotr
Pubblicato in: Scientific Reports, 2025
Editore: NAATURE
DOI: 10.1038/S41598-025-08273-Y

Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability

Autori: Anh Ngo, Jan Koco
Pubblicato in: Information Fusion, Numero 118, 2025, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2025.102966

Peer Interaction Dynamics and Second Language Learning Trajectories During Study Abroad: A Longitudinal Investigation Using Dynamic Computational Social Network Analysis

Autori: Micha B. Paradowski, Nicole Whitby, Micha Czuba, Piotr Brdka
Pubblicato in: Language Learning, Numero 74, 2025, ISSN 0023-8333
Editore: Wiley
DOI: 10.1111/lang.12681

Improving the quality of pulse rate variability derived from wearable devices using adaptive, spectrum and nonlinear filtering

Autori: Monika A. Prucnal, Adam G. Polak, Przemysaw Kazienko
Pubblicato in: Biomedical Signal Processing and Control, Numero 102, 2025, ISSN 1746-8094
Editore: Elsevier BV
DOI: 10.1016/j.bspc.2024.107336

A deeper look at Graph Embedding RetroFitting

Autori: Bielak, P., Binkowski, J., Sawczyn, A., Viarenich, K., Puchalska, D., Kajdanowicz, T.
Pubblicato in: Journal of Computational Science, 2023
Editore: Elsevier
DOI: 10.1016/j.jocs.2023.101979

Book chapters (4)

Bibliometric-Enhanced Information Retrieval: 14th International BIR Workshop (BIR 2024)

Autori: Ingo Frommholz, Philipp Mayr, Guillaume Cabanac, Suzan Verberne
Pubblicato in: Lecture Notes in Computer Science, Advances in Information Retrieval, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-56069-9_61

Representation Learning inMultiplex Graphs: Where andHow toFuse Information?

Autori: Piotr Bielak, Tomasz Kajdanowicz
Pubblicato in: Lecture Notes in Computer Science, Computational Science – ICCS 2024, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63778-0_1

A Perspective ontheUbiquity ofInteraction Streams inHuman Realm

Autori: Damian Serwata, Mateusz Nurek, Radosaw Michalski
Pubblicato in: Lecture Notes in Computer Science, Computational Science – ICCS 2024, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63775-9_26

Bibliometric-Enhanced Information Retrieval: 13th International BIR Workshop (BIR 2023)

Autori: Ingo Frommholz, Philipp Mayr, Guillaume Cabanac, Suzan Verberne
Pubblicato in: Lecture Notes in Computer Science, Advances in Information Retrieval, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-28241-6_43

Other (10)

Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform

Autori: Mateusz Wójcik; Witold Kościukiewicz; Mateusz Baran; Tomasz Kajdanowicz; Adam Gonczarek
Pubblicato in: Computer Science Cornell Univesity, 2023
Editore: arXiv repository Cornell University
DOI: 10.48550/arxiv.2307.05399

Mechanistic description of spontaneous loss of memory persistent activity based on neuronal synaptic strength

Autori: Hillel Sanhedrai; Shlomo Havlin; Hila Dvir
Pubblicato in: Heliyon, 2024
DOI: 10.48550/arxiv.2212.07225

Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience

Autori: Nicholas A. Coles; Bartosz Perz; Maciej Behnke; Johannes C. Eichstaedt; Soo Hyung Kim; Tu N. Vu; Chirag Raman; Julian Tejada; Van-Thong Huynh; Guangyi Zhang; Tanming Cui; Sharanyak Podder; Rushi Chavda; Shubham Pandey; Arpit Upadhyay; Jorge I. Padilla-Buritica; Carlos J. Barrera Causil; Linying Ji; Felix Dollack; Kiyoshi Kiyokawa; Huakun Liu; Monica Perusquia-Hernandez; Hideaki Uchiyama; Xin Wei; Houwei Cao; Ziqing Yang; Alessia Iancarelli; Kieran McVeigh; Yiyu Wang; Isabel M. Berwian; Jamie C. Chiu; Dan-Mircea Mirea; Erik C. Nook; Henna I. Vartiainen; Claire Whiting; Young Won Cho; Sy-Miin Chow; Zachary F. Fisher; Yanling Li; Xiaoyue Xiong; Yuqi Shen; Enzo Tagliazucchi; Leandro A. Bugnon; Raydonal Ospina; Nicolas M. Bruno; Tomas A. D'Amelio; Federico Zamberlan; Luis R. Mercado Diaz; Javier O. Pinzon-Arenas; Hugo F. Posada-Quintero; Maneesh Bilalpur; Saurabh Hinduja; Fernando Marmolejo-Ramos; Shaun Canavan; Liza Jivnani; Stanisław Saganowski
Pubblicato in: Royal Society Open Science, 2025
DOI: 10.1098/RSOS.241778

The Role ofConformity inOpinion Dynamics Modelling withMultiple Social Circles

Autori: Stanisaw Stpie; Jarosaw Jankowski; Piotr Brdka; Radosaw Michalski
Pubblicato in: Lecture Notes in Computer Science - Computational Science – ICCS 2023, 2023
DOI: 10.48550/arxiv.2403.04480

Divide and not forget: Ensemble of selectively trained experts in Continual Learning

Autori: Rypeść, Grzegorz; Cygert, Sebastian; Khan, Valeriya; Trzciński, Tomasz; Zieliński, Bartosz; Twardowski, Bartłomiej
Pubblicato in: International Conference on Learning Representations, 2024
DOI: 10.5281/ZENODO.12543118

Temporal Link Prediction in Social Networks Based on Agent Behavior Synchrony and a Cognitive Mechanism

Autori: Yueran Duan, Mateusz Nurek, Qing Guan, Radosaw Michalski, Petter Holme
Pubblicato in: arXiv repository, 2024
DOI: 10.48550/arXiv.2406.06814

Rank-refining seed selection methods for budget constrained influence maximisation in multilayer networks under linear threshold model

Autori: Czuba, Michał; Bródka, Piotr
Pubblicato in: Social Network Analysis and Mining, 2025
DOI: 10.48550/ARXIV.2405.18059

Disruptive papers in science are losing impact

Autori: Zeng, An; Fan, Ying; Di, Zengru; Wang, Yougui; Havlin, Shlomo
Pubblicato in: 2023
DOI: 10.48550/arxiv.2305.03589

Temporal Link Prediction in Social Networks Based on Agent Behavior Synchrony and a Cognitive Mechanism

Autori: Yueran Duan; Mateusz Nurek; Qing Guan; Radosław Michalski; Petter Holme
Pubblicato in: IEEE Transactions on Computational Social Systems, 2025
DOI: 10.48550/ARXIV.2406.06814

Supplementary Material from Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience

Autori: Coles, Nicholas; Perz, Bartosz; Behnke, Maciej; Eichstaedt, Johannes; Kim, Soo Hyung; Vu, Tu; Raman, Chirag; Tejada, Julian; Huynh, Van-Thong; Zhang, Guangyi; Cui, Tanming; Podder, Sharanyak; Chavda, Rushi; Pandey, Shubham; Upadhyay, Arpit; Padilla-Buritica, Jorge; Barrera Causil, Carlos; Ji, Linying; Dollack, Felix; Kiyokawa, Kiyoshi; Liu, Huakun; Perusquia-Hernandez, Monica; Uchiyama, Hideaki; Wei, Xin; Cao, Houwei; Yang, Ziqing; Iancarelli, Alessia; McVeigh, Kieran; Wang, Yiyu; Berwian, Isabel; Chiu, Jamie; Mirea, Dan-Mircea; Nook, Erik; Vartiainen, Henna; Whiting, Claire; Cho, Young Won; Chow, Sy-Miin; Fisher, Zachary; Li, Yanling; Xiong, Xiaoyue; Shen, Yuqi; Tagliazucchi, Enzo; Bugnon, Leandro; Ospina, Raydonal; Bruno, Nicolas; D'Amelio, Tomas; Zamberlan, Federico; Mercado Diaz, Luis; Pinzon-Arenas, Javier; Posada-Quintero, Hugo; Bilalpur, Maneesh; Hinduja, Saurabh; Marmolejo-Ramos, Fernando; Canavan, Shaun; Jivnani, Liza; Saganowski, Stanisław
Pubblicato in: 2025
DOI: 10.6084/M9.FIGSHARE.29106746.V1