🧠 Research at TheLion.AI #
TheLion.AI conducts cutting-edge research at the intersection of artificial intelligence, healthcare, and natural language processing.
Our mission is to bridge the gap between theory and real-world impact through innovative machine learning methodologies and collaborative scientific exploration.
🧾 Featured Publications #
Conversation Clustering Adaptation for Intent Recognition #
Michał Lew, Aleksander Obuchowski, Emilia Kacprzak, Agnieszka Pluwak
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
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ColorNephroNet: Kidney Tumor Malignancy Prediction Using Medical Image Colorization #
Aleksander Obuchowski, Barbara Klaudel, Roman Karski, Bartosz Rydziński, Mateusz Glembin, Paweł Syty, Patryk Jasik
The International FLAIRS Conference Proceedings
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Predictors of Catheter-Induced Coronary and Aortic Dissections: A Machine Learning Approach #
Barbara Klaudel, Jacek Klaudel, Michał Glaza, Wojciech Trenkner, Marek Szołkiewicz
JACC: Cardiovascular Interventions
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Machine-Aided Detection of SARS-CoV-2 from Complete Blood Count #
Barbara Klaudel, Aleksander Obuchowski, Małgorzata Dąbrowska, Kornelia Sałaga-Zaleska, Zdzisław Kowalczuk
Lecture Notes in Networks and Systems
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COVID-19 Severity Forecast Based on Machine Learning and Complete Blood Count Data #
Barbara Klaudel, Aleksander Obuchowski, Roman Karski, Bartosz Rydziński, Patryk Jasik, Zdzisław Kowalczuk
Lecture Notes in Networks and Systems
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Transformer-Capsule Model for Intent Detection #
Aleksander Obuchowski, Michał Lew
Proceedings of the AAAI Conference on Artificial Intelligence
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Information Extraction from Polish Radiology Reports Using Language Models #
Aleksander Obuchowski, Barbara Klaudel, Patryk Jasik
Proceedings of EACL 2023
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Explainable Machine Learning for Diffraction Patterns #
Shah Nawaz, Vahid Rahmani, David Pennicard, Shabarish Pala Ramakantha Setty, Barbara Klaudel, Heinz Graafsma
Journal of Applied Crystallography
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Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in CT Analysis #
Mateusz Glembin, Aleksander Obuchowski, Barbara Klaudel, Bartosz Rydziński, Roman Karski, Paweł Syty, Patryk Jasik, Wojciech Józef Narożański
Medical Science Monitor
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Target-Free Domain Adaptation through Cross-Adaptation #
Aleksander Obuchowski, Barbara Klaudel, Piotr Frąckowski, Sebastian Krajna, Wasyl Badyra, Michał Czubenko, Zdzisław Kowalczuk
Proceedings of the AAAI Conference on Artificial Intelligence
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Catheter-Induced Coronary Artery and Aortic Dissections: Mechanisms and Risk Factors #
Jacek Klaudel, Michał Glaza, Barbara Klaudel, Wojciech Trenkner, Krzysztof Pawłowski, Marek Szołkiewicz
Cardiology Journal
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Assessing the Situation in the Face of Crisis #
Agnieszka Pluwak, Emilia Kacprzak, Michał Stańczyk, Michał Lew, Aleksander Obuchowski
Social Network Analysis and Mining
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Forewarned Is Forearmed: Machine Learning Algorithms for Prediction of Catheter-Induced Injuries #
Jacek Klaudel, Barbara Klaudel, Michał Glaza, Wojciech Trenkner, Paweł Derejko, Marek Szołkiewicz
International Journal of Environmental Research and Public Health
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Improving Intent Detection Accuracy Through Token-Level Labeling #
Michał Lew, Aleksander Obuchowski, Monika Kutyła
3rd Conference on Language, Data and Knowledge (LDK 2021)
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🧩 Our Research Philosophy #
At TheLion.AI, we view research as a collaborative act of innovation — one that unites academic rigor, open-source ethics, and real-world applicability.
Our projects aim to make AI not only smarter, but more transparent, equitable, and beneficial across industries.
“The best way to predict the future of AI is to build it — ethically, collaboratively, and intelligently.”
— TheLion.AI Research Team