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 (14)

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

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

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

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

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

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

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

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

Peer reviewed articles (48)

Thermal conductivity of compressed SiO2 nanoglasses. A molecular dynamics study

Autori: Anton Hul; Pawel Keblinski; Tomasz K. Pietrzak
Pubblicato in: International Journal of Heat and Mass Transfer, 2025
Editore: ELSEVIER
DOI: 10.1016/J.IJHEATMASSTRANSFER.2025.126761

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

Big Tech influence over AI research revisited: Memetic analysis of attribution of ideas to affiliation

Autori: Stanislaw Gizinski; Paulina Kaczynska; Hubert Ruczynski; Emilia Wisnios; Bartosz Pielinski; Przemyslaw Biecek; Julian Sienkiewicz
Pubblicato in: Journal of Informetrics, 2023
Editore: SSRN
DOI: 10.2139/SSRN.4672528

Microscopic origin of abrupt mixed-order phase transitions

Autori: Jan Korbel; Shlomo Havlin; Stefan Thurner
Pubblicato in: Nature Communications, 2025
Editore: NATURE
DOI: 10.1038/S41467-025-57007-1

Unveiling the importance of nonshortest paths in quantum networks

Autori: Xinqi Hu; Gaogao Dong; Kim Christensen; Hanlin Sun; Jingfang Fan; Zihao Tian; Jianxi Gao; Shlomo Havlin; Renaud Lambiotte; Xiangyi Meng
Pubblicato in: Science Advances, 2025
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2402.15462

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

enhancer3D: 3D chromatin structures and enhancer-promoter distance profiles for archaic and modern human genomes

Autori: Wlasnowolski, Michal; Kozlov, Nikita; Wojcik, Mikolaj; Jacobs, Guy S; Plewczynski, Dariusz
Pubblicato in: Nucleic Acids Research, 2025
Editore: UNIVERSITY OF CAMBRIDGE
DOI: 10.17863/CAM.122549

Hybrid universality classes of systemic cascades

Autori: I. Bonamassa; B. Gross; J. Kertész; S. Havlin
Pubblicato in: Nature Communications, 2025
Editore: NATURE
DOI: 10.1038/S41467-024-55639-3

Critical properties of Heider balance on multiplex networks

Autori: Mohandas, Krishnadas; Suchecki, Krzysztof; Hołyst, Janusz A.
Pubblicato in: Physical Review E, 2024
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2310.03829

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

Biswas-Chatterjee-Sen kinetic exchange opinion model for two connected groups

Autori: Krzysztof Suchecki; Kathakali Biswas; Janusz A. Hołyst; Parongama Sen
Pubblicato in: Physical Review E, 2025
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2411.18527

Personalized Large Language Models

Autori: Woźniak, Stanisław; Koptyra, Bartłomiej; Janz, Arkadiusz; Kazienko, Przemysław; Kocoń, Jan
Pubblicato in: 2024 IEEE International Conference on Data Mining Workshops (ICDMW), 2024
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2402.09269

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

Coexistence of balance and hierarchies: An ego perspective to explain empirical networks

Autori: Piotr J Górski; Adam Sulik; Georges Andres; Giacomo Vaccario; Janusz A Hołyst
Pubblicato in: PNAS Nexus, 2025
Editore: PNAS NEXUS
DOI: 10.3929/ETHZ-B-000736513

Annotating scientific uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches

Autori: Panggih Kusuma Ningrum; Philipp Mayr 0001; Nina Smirnova 0001; Iana Atanassova
Pubblicato in: Journal of Informetrics, 2025
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2503.11376

Multilayer artificial benchmark for community detection (mABCD)

Autori: Łukasz Kraiński; Michał Czuba; Piotr Bródka; Paweł Prałat; Bogumił Kamiński; François Théberge
Pubblicato in: Expert Systems with Applications, 2026
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2507.10795

Network Diffusion Framework to Simulate Spreading Processes in Complex Networks

Autori: Czuba, Michal; Nurek, Mateusz; Serwata, Damian; Qiu, Yu-Xuan; Jia, Mingshan; Musial, Katarzyna; Michalski, Radosław; Bródka, Piotr
Pubblicato in: Big Data Mining and Analytics, 2024
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2405.18085

Accumulated local effects and graph neural networks for link prediction

Autori: Kaczyńska, Paulina; Sienkiewicz, Julian; Ślęzak, Dominik
Pubblicato in: Scientific Reports, 2026
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2512.03061

Embracing Subjectivity in Affective Research: Naturalistic and Controlled Settings

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

The Ising model celebrates a century of interdisciplinary contributions

Autori: Michael W. Macy; Boleslaw K. Szymanski; Janusz A. Hołyst
Pubblicato in: npj Complexity, 2024
Editore: NATURE
DOI: 10.1038/S44260-024-00012-0

Percolation Theories for Quantum Networks

Autori: Xiangyi Meng; Xinqi Hu; Yu Tian; Gaogao Dong; Renaud Lambiotte; Jianxi Gao; Shlomo Havlin
Pubblicato in: Entropy, 2023
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2310.18420

Nucleation phenomena and extreme vulnerability of spatial k-core systems

Autori: Leyang Xue; Shengling Gao; Lazaros K. Gallos; Orr Levy; Bnaya Gross; Zengru Di; Shlomo Havlin
Pubblicato in: Nature Communications, 2024
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2311.13579

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

Protect our environment from information overload

Autori: Janusz A. Hołyst; Philipp Mayr; Michael Thelwall; Ingo Frommholz; Shlomo Havlin; Alon Sela; Yoed N. Kenett; Denis Helic; Aljoša Rehar; Sebastijan R. Maček; Przemysław Kazienko; Tomasz Kajdanowicz; Przemysław Biecek; Boleslaw K. Szymanski; Julian Sienkiewicz
Pubblicato in: Nature Human Behaviour, 2024
Editore: NATURE
DOI: 10.1038/S41562-024-01833-8

Intelligent Interface: Enhancing Lecture Engagement with Didactic Activity Summaries

Autori: Anna Wróblewska; Marcel Witas; Kinga Frańczak; Arkadiusz Kniaź; Cheong Siew Ann; Seng Chee Tan; Janusz Hołyst; Marcin Paprzycki
Pubblicato in: Lecture Notes in Networks and Systems ISBN: 9783031735370, 2024
Editore: CORNELL UNOVERSITY
DOI: 10.48550/ARXIV.2406.14266

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

Towards a performance characteristic curve for model evaluation: An application in information diffusion prediction

Autori: Wenjin Xie; Xiaomeng Wang 0001; Radoslaw Michalski; Tao Jia 0001
Pubblicato in: Expert Systems with Applications, 2025
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2309.09537

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

Autori: Albert Sawczyn; Jakub Binkowski; Piotr Bielak; Tomasz Kajdanowicz
Pubblicato in: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2405.10745

Evaluating in-vivo spontaneous firing rate in the brain based on neuronal noise modeling

Autori: Hila Dvir; Shu Guo; Rui Kang; Daqing Li; Shlomo Havlin
Pubblicato in: Communications Biology, 2025
Editore: NATURE
DOI: 10.1038/S42003-025-08667-8

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

Autori: Soveatin Kuntur; Anna Wróblewska; Marcin Paprzycki; Maria Ganzha
Pubblicato in: IEEE Transactions on Artificial Intelligence, 2025
Editore: IEEE
DOI: 10.1109/TAI.2024.3471735

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: PUBMED
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

A bridge between influence models and control methods

Autori: Abida Sadaf; Luke Mathieson; Piotr Bródka; Katarzyna Musial
Pubblicato in: Applied Network Science, 2024
Editore: SPRINGER NATURE
DOI: 10.1007/S41109-024-00647-X

Toward Responsible Recommender Systems

Autori: Przemysław Kazienko; Erik Cambria
Pubblicato in: IEEE Intelligent Systems, Numero 39, 2024
Editore: IEEE
DOI: 10.1109/MIS.2024.3398190

Architectural Concepts for Integrating Fundamental Drives and Emotions Into Artificial Intelligence

Autori: Teddy Ferdinan; Wiktoria Mieleszczenko-Kowszewicz; Jan Kocoń; Przemysław Kazienko
Pubblicato in: IEEE Intelligent Systems, 2025
Editore: IEEE
DOI: 10.1109/MIS.2025.3622004

The random cascading origin of abrupt transitions in interdependent systems

Autori: Bnaya Gross; Irina Volotsenko; Yuval Sallem; Nahala Yadid; Ivan Bonamassa; Shlomo Havlin; Aviad Frydman
Pubblicato in: Nature Communications, 2025
Editore: NATURE
DOI: 10.1038/S41467-025-61127-Z

Improving the Quality of Pulse Rate Variability Derived from Wearable Devices Using Adaptive, Spectrum and Nonlinear Filtering

Autori: Monika A. Prucnal; Adam G. Polak; Przemysław Kazienko
Pubblicato in: Biomedical Signal Processing and Control, Numero 102, 2024
Editore: ELSEVIER
DOI: 10.1016/J.BSPC.2024.107336

Editorial to the special issue on JCDL 2022

Autori: Philipp Mayr; Annika Hinze; Philipp Schaer
Pubblicato in: International Journal on Digital Libraries, 2024
Editore: SPRINGER NATURE
DOI: 10.1007/S00799-024-00407-3

Consumer Transactions Simulation Through Generative Adversarial Networks Under Stock Constraints in Large-Scale Retail

Autori: Sergiy Tkachuk; Szymon Łukasik; Anna Wróblewska
Pubblicato in: Electronics, 2025
Editore: MDPI
DOI: 10.3390/ELECTRONICS14020284

Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows

Autori: Miłkowski, Piotr; Karanowski, Konrad; Wielopolski, Patryk; Kocoń, Jan; Kazienko, Przemysław; Zięba, Maciej
Pubblicato in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2312.06034

Into the Unknown: Self-Learning Large Language Models

Autori: Ferdinan, Teddy; Kocoń, Jan; Kazienko, Przemysław
Pubblicato in: 2024 IEEE International Conference on Data Mining Workshops (ICDMW), 2024
Editore: IEEE
DOI: 10.13140/RG.2.2.16235.72488

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

Physical Realizations of Interdependent Networks: Analogy to Percolation

Autori: Bnaya Gross; Shlomo Havlin
Pubblicato in: Entropy, 2025
Editore: MDPI
DOI: 10.3390/E27020109

How random are team sports leagues?

Autori: Maciej Pawlik; Robert Paluch; Michał Boruta; Janusz A. Hołyst
Pubblicato in: Physica A: Statistical Mechanics and its Applications, 2025
Editore: ELSEVIER
DOI: 10.1016/J.PHYSA.2025.130814

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

Autori: Kamil Kanclerz; Julita Bielaniewicz; Marcin Gruza; Jan Kocon; Stanislaw Wozniak; Przemyslaw Kazienko
Pubblicato in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2312.08198

Book chapters (5)

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

Applying Text Mining to Analyze Human Question Asking in Creativity Research

Autori: Anna Wróblewska; Marceli Korbin; Yoed N. Kenett; Daniel Dan; Maria Ganzha; Marcin Paprzycki
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031861925, 2025
Editore: CORNELL UNIVERSITY
DOI: 10.48550/ARXIV.2501.02090

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 (14)

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

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

Autori: Bielaniewicz, Julita; Kazienko, Przemysław
Pubblicato in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023
DOI: 10.48550/ARXIV.2312.11296

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 Chavd
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

From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis

Autori: Woźniak, Stanisław; Kocoń, Jan
Pubblicato in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023
DOI: 10.48550/ARXIV.2312.04720

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
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