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Predictive Modeling of Acute Respiratory Infections: A Machine Learning Approach Using Real-World Data from Primary Care in Croatia

Pintarić, Karlo Jovičić, Eda Faber, Jana Jović, Alan

2026-10-24

Timely forecasting of respiratory disease activity can support more proactive planning of primary healthcare resources. The aim of this paper is to develop a machine learning framework for forecasting acute respiratory infection (ARI) and influenza-l…

HRVATSKI ZAVOD ZA JAVNO ZDRAVSTVO

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Applied sciences (Basel) Vol. 16, Br. 21

DOI10.3390/app162110533 eISSN2076-3417

Repozitorij FER-a

acute respiratory infections influenza-like illnesses predictive modeling machine learning XGBoost weekly-data forecasting real-world data primary care

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Radar-Inertial Odometry With Online Spatio-Temporal Calibration via Continuous-Time IMU Modeling

Štironja, Vlaho-Josip Petrović, Luka Peršić, Juraj Marković, Ivan Petrović, Ivan

2026-10-09

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IEEE Robotics and Automation Letters Vol. 11/11, str. 13613–13620

DOI10.1109/lra.2026.3742287 pISSN2377-3766

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Multisensor Monitoring of Soil-Plant-Atmosphere Interactions During Reproductive Development in Wheat

Skendžić, Sandra Lemić, Darija Novak, Hrvoje Reljić, Marko Maričević, Marko Lešić, Vinko Pajač Živković, Ivana Zovko, Monika

2026-03-20

Assessing crop water status during the reproductive development of winter wheat is challenging because soil-plant-atmosphere interactions are strongly influenced by soil physical conditions, and measured soil water content (SWC) does not necessarily …

Bc Institut za oplemenjivanje i proizvodnju bilja, dioničko društvo

Sveučilište u Zagrebu Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva Zavod za automatiku i računalno inženjerstvo

AgriEngineering Vol. 8, Br. 3, str. 1–33

DOI10.3390/agriengineering8030119 eISSN2624-7402

Repozitorij FER-a

hyperspectral remote sensing crop water status soil-plant-atmosphere interactions winter wheat grain yield

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Hyperlocal Weather Forecasting by Machine Learning: Findings, Results, and Conclusions of the IEEE Region 8 Competition

AlSalmi, Haifa Murrar, Samer Al-Haj, Fatima Shams, Mohammad Hajjeh, Besher Shahin, Amjad Shahin, Ahmad Ibrahim, Michael Safty, Hoda El Novak, Hrvoje Chen, Xu John, Cedric M. Shi, Daqian Al-Zayer, Zayad Slabaugh, Gregory Elhassan, Fay Lešić, Vinko

2026-06-16

Motivated by the need for climate-change resilience, this article summarizes the results of an international hackathon-style competition aimed at improving local weather forecasts using machine-learning postprocessing of multiple forecast sources and…

Sveučilište u Zagrebu Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva Zavod za automatiku i računalno inženjerstvo

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 19, str. 24206–24223

DOI10.1109/jstars.2026.3704000 eISSN2151-1535 pISSN1939-1404

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Hackathon hyperlocal forecasting machine learning numerical weather prediction postprocessing weather forecasting

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Consumer preferences for local food characteristics in grocery shopping apps: a multi-country discrete choice experiment

Van Parys, Esther Tran, Duc Rahmani, Djamel Le Moal, Fairley Bray, Jeffery Ronge, Barbara Tarcsi, Adam Lešić, Vinko Michaud, Maxime Gellynck, Xavier Schouteten, Joachim Jietse De Steur, Hans

2026-05-08

The rapid expansion of online grocery shopping post-COVID-19 has intensified competition among digital food platforms, increasing the need for effective consumer retention strategies. Supporting local food distribution through dedicated mobile app fe…

Sveučilište u Zagrebu Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva Zavod za automatiku i računalno inženjerstvo

Electronic Commerce Research Vol. -, Br. -, str. 1–20

DOI10.1007/s10660-026-10144-1 eISSN1572-9362 pISSN1389-5753

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Local food Grocery shopping Discrete choice experiment Autonomy Competence Relatedness

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Locality-based moral planning with linear temporal logic values

Kurdija, Adrian Satja Mihelčić, Matej

2026

Linear Temporal Logic (LTL) is widely used to describe problem settings of various planning tasks. Our main contribution is a locality-based way to compress the search when planning with LTLf values. With it, an exact algorithm runs in time polynomia…

Sveučilište u Zagrebu Sveučilište u Zagrebu Prirodoslovno-matematički fakultet Matematički odsjek

Sveučilište u Zagrebu Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva Zavod za elektroniku, mikroelektroniku, računalne i inteligentne sustave

Array Vol. 32

DOI10.1016/j.array.2026.101314 eISSN2590-0056 pISSN2590-0056

Repozitorij FER-a

Linear temporal logic Ethical planning Locality-based planning Conflict resolution

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Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching

Lo, Alston Mucko, Luka Cheng, Austin H. Cai, Andy Price, Alastair J. A. Matusik, Wojciech Aspuru-Guzik, Alán

2026

Organic crystal structure prediction (CSP) is a requirement for computational modelling of organic solids, but traditionally costs several CPU-years per molecule. Generative models such as OXtal dramatically reduce this cost by sampling stable organi…

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Advances in Neural Information Processing Systems

40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026) 2026

DOI10.48550/arXiv.2606.03199

Repozitorij FER-a

organic crystal structure prediction flow matching generative models unit cell generation machine learning virtual screening

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Empirical Comparison of Centralized and Federated Learning for Intrusion Detection on Unseen Domains

Jukić, Ana-Petra Sičić, Ivan Podnar Žarko, Ivana Antonić, Martina

2026

Training models from data distributed across multiple sources while maintaining robust performance under changing deployment conditions remains a persistent challenge. This is particularly relevant in intrusion detection, where traffic logs are sensi…

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Proceedings of 34th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2026)

34th International Conference on Software, Telecommunications, and Computer Networks (SoftCOM 2026) 2026

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federated learning intrusion detection domain generalization

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Evaluating interaction mechanics in virtual reality gaming: from user studies to design recommendations

Srebot, Sara Haramina, Emilia Skorin-Kapov, Lea Škarica, Darian

2026

By utilizing six-degrees-of-freedom (6DoF) interaction, virtual reality (VR) gaming often places greater demands on both the user's motor skills and cognitive resources compared to gaming on non-immersive platforms. Satisfying VR interaction mechanic…

Sveučilište u Zagrebu Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva Zavod za telekomunikacije

Frontiers in Virtual Reality Vol. 7

DOI10.3389/frvir.2026.1833901 pISSN2673-4192

Repozitorij FER-a

design recommendations game mechanics player experience quality of experience user experience virtual reality VR-induced symptoms and effects workload

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Geometry-Aware Trajectory State Modeling for Few-Shot Action Recognition

Miao, Zhiqi Haralović, Marko Levendeev, Stanislav Angadi, Sarvesh Ferdous, Jannatul Ploesteanu, Dan-Cristian Guo, Jiapan Talavera, Estefania

2026-10-14

Few-shot action recognition (FSAR) requires representations that expose discriminative motion dynamics from only a few labeled videos. Recent trajectory-based methods leverage long-term point tracks for explicit temporal correspondence, but often tre…

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2027 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

2027 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2027

Repozitorij FER-a

Few-shot action recognition Trajectory state modeling 2.5D trajectories Motion dynamics Local geometric interactions Spatio-temporal modeling Video understanding

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