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ORCIDKristína Malinovská
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- affiliation: Comenius University in Bratislava, Slovak Republic
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2020 – today
- 2025
[e11]Djork-Arné Clevert
, Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
AI in Drug Discovery - First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings. Lecture Notes in Computer Science 14894, Springer 2025, ISBN 978-3-031-72380-3 [contents]- 2024
- [c14]Kristína Malinovská, Jakub Misovský:
Robotic Model of the Mirror Neuron System: A Revival. ICANN (10) 2024: 313-323 - [e10]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15016, Springer 2024, ISBN 978-3-031-72331-5 [contents] - [e9]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15017, Springer 2024, ISBN 978-3-031-72334-6 [contents] - [e8]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15018, Springer 2024, ISBN 978-3-031-72337-7 [contents] - [e7]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15019, Springer 2024, ISBN 978-3-031-72340-7 [contents] - [e6]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15020, Springer 2024, ISBN 978-3-031-72343-8 [contents] - [e5]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15021, Springer 2024, ISBN 978-3-031-72346-9 [contents] - [e4]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15022, Springer 2024, ISBN 978-3-031-72349-0 [contents] - [e3]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15023, Springer 2024, ISBN 978-3-031-72352-0 [contents] - [e2]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15024, Springer 2024, ISBN 978-3-031-72355-1 [contents] - [e1]Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15025, Springer 2024, ISBN 978-3-031-72358-2 [contents] - [i4]Kristína Malinovská, Slavomír Holenda, Ludovít Malinovský:
QuasiNet: a neural network with trainable product layers. CoRR abs/2401.06137 (2024) - 2023
- [c13]Kristína Malinovská, Slavomír Holenda, Ludovít Malinovský:
QuasiNet: A Neural Network with Trainable Product Layers. ICANN (5) 2023: 399-410 - [c12]Andrej Lúcny, Kristína Malinovská, Igor Farkas:
Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models. ICANN (1) 2023: 471-482 - [i3]Kassandra Friebe, Kristína Malinovská, Sabína Samporová, Matej Hoffmann:
Gaze Cueing and the Role of Presence in Human-Robot Interaction. CoRR abs/2302.04329 (2023) - [i2]Róbert Belanec, Peter Lacko, Kristína Malinovská:
Controlling the Output of a Generative Model by Latent Feature Vector Shifting. CoRR abs/2311.08850 (2023) - [i1]Andrej Lúcny, Kristína Malinovská, Igor Farkas:
Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models. CoRR abs/2311.13226 (2023) - 2022
- [c11]Kristína Malinovská, Igor Farkas, Jana Harvanová, Matej Hoffmann:
A connectionist model of associating proprioceptive and tactile modalities in a humanoid robot. ICDL 2022: 336-342 - [c10]Kassandra Friebe, Sabína Samporová, Kristína Malinovská, Matej Hoffmann:
Gaze Cueing and the Role of Presence in Human-Robot Interaction. ICSR (1) 2022: 402-414 - 2021
- [c9]Kristína Malinovská, Igor Farkas:
Generative Properties of Universal Bidirectional Activation-Based Learning. ICANN (3) 2021: 80-83 - [c8]Matús Tuna, Kristína Malinovská, Igor Farkas, Svatopluk Kraus, Pavel Krsek:
Semi-supervised Learning in Camera Surveillance Image Classification. ICCP 2021: 155-162
2010 – 2019
- 2019
- [c7]Kristína Malinovská, Ludovít Malinovský, Pavel Krsek, Svatopluk Kraus, Igor Farkas:
UBAL: a Universal Bidirectional Activation-based Learning Rule for Neural Networks. CIIS 2019: 57-62 - [c6]Elena Sikudová, Kristína Malinovská, Radoslav Skoviera, Júlia Skovierová, Miroslav Uller, Václav Hlavác:
Estimating pedestrian intentions from trajectory data. ICCP 2019: 19-25 - [c5]Svatopluk Kraus, Pavel Krsek, Kristína Malinovská, Matús Tuna:
Detecting Wearable Objects via Transfer Learning. ICCP 2019: 373-380 - [c4]Jakub Pospíchal, Igor Farkas, Matej Pechác, Kristína Malinovská:
Modeling Self-organized Emergence of Perspective In/variant Mirror Neurons in a Robotic System. ICDL-EPIROB 2019: 278-283 - 2018
- [c3]Kristína Malinovská, Ludovít Malinovský, Igor Farkas:
Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks. ICANN (3) 2018: 228-231 - 2013
- [c2]Igor Farkas, Kristína Rebrová:
Bidirectional Activation-based Neural Network Learning Algorithm. ICANN 2013: 154-161 - [c1]Kristína Rebrová, Matej Pechác, Igor Farkas:
Towards a robotic model of the mirror neuron system. ICDL-EPIROB 2013: 1-6 - 2012
- [j1]Igor Farkas, Tomás Malík, Kristína Rebrová:
Grounding the Meanings in Sensorimotor Behavior using Reinforcement Learning. Frontiers Neurorobotics 6: 1 (2012)
Coauthor Index
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