- Weakly supervised learning for treeline ecotone classification based on aerial orthoimages and an ancillary DSM2022 | Faculty of Science
- Fully automated classification of bone marrow infiltration in low-dose CT of patients with multiple myeloma based on probabilistic density model and supervised learning2016 | First Faculty of Medicine
- Classification trees with soft splits optimized for ranking2019 | Faculty of Mathematics and Physics
- Bad MT Systems are Good for Quality Estimation2023 | Faculty of Mathematics and Physics
- (Self)Reflection as an Integral Part of Education of University Students2011 | Third Faculty of Medicine
- kNN approaches in geometric algorithms2013 | Faculty of Mathematics and Physics
- A BERT's Eye View: Identification of Irish Multiword Expressions Using Pre-trained Language ModelsPublication without faculty affiliation
- SkyGAN: Towards Realistic Cloud Imagery for Image Based Lighting2022 | Faculty of Mathematics and Physics, Central Library of Charles University
- Revisiting Tri-training of Dependency ParsersPublication without faculty affiliation
- Equivalence and Confidence of Classifiers: Selected Approaches using ROC Curves and Bootstrap2007 | Faculty of Arts
- Verbal Valency Frame Detection and Selection in Czech and English2014 | Faculty of Mathematics and Physics
- Flexible integrated functional depths2021 | Faculty of Mathematics and Physics
- Feature Extraction for Native Language Identification Using Language Modeling2015 | Faculty of Mathematics and Physics
- Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques2017 | Faculty of Mathematics and Physics
- Recent trends in machine learning with a focus on applications in finance2024 | Faculty of Mathematics and Physics
- Asking without Telling: Exploring Latent Ontologies in Contextual RepresentationsPublication without faculty affiliation
- MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module2023 | Faculty of Mathematics and Physics
- Covert Online Ethnography and Machine Learning for Detecting Individuals at Risk of Being Drawn into Online Sex Work2018 | Faculty of Arts
- Towards Disease-specific Speech Markers for Differential Diagnosis in Parkinsonism2019 | First Faculty of Medicine
- Learning Dynamic Belief Graphs to Generalize on Text-Based Games2020 | Faculty of Mathematics and Physics
- Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning2018 | First Faculty of Medicine
- Dijet Resonance Search with Weak Supervision Using root S=13 TeV pp Collisions in the ATLAS Detector2020 | Faculty of Mathematics and Physics
- Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm2021 | Faculty of Mathematics and Physics
- Advanced Statistical Analysis of 3D Kinect Data: A Comparison of the Classification Methods2021 | Faculty of Mathematics and Physics, Central Library of Charles University
- How Linguistically Fair Are Multilingual Pre-Trained Language Models?Publication without faculty affiliation
- Deep Learning for Knowledge Extraction from UAV Images2021 | Faculty of Mathematics and Physics