Igor Farkas - RankMe

72 papers B 8C 4Journal 22Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Contrasting Human and Emergent Concepts in Image Classifiers. IJCCI (3) Tamara Bíla, Igor Farkas
2025	—	`conf`	Examining the Legibility of Humanoid Robot Arm Movements in a Pointing Task. ICSR+AI (1) Andrej Lúcny, Matilde Antonj, Carlo Mazzola, Hana Hornácková, Ana Faric, Kristína Malinovská, Ana Vavrecka, Igor Farkas
2025	J	`jnl`	Examining the legibility of humanoid robot arm movements in a pointing task. CoRR Andrej Lúcny, Matilde Antonj, Carlo Mazzola, Hana Hornácková, Ana Faric, Kristína Malinovská, Michal Vavrecka, Igor Farkas
2025	—	`conf`	Generating and Customizing Robotic Arm Trajectories Using Neural Networks. ICANN (5) Andrej Lúcny, Matilde Antonj, Carlo Mazzola, Hana Hornácková, Igor Farkas
2025	J	`jnl`	Generating and Customizing Robotic Arm Trajectories using Neural Networks. CoRR Andrej Lúcny, Matilde Antonj, Carlo Mazzola, Hana Hornácková, Igor Farkas
2025	—	`conf`	Robotic Calibration Based on Haptic Feedback Improves Sim-to-Real Transfer. ICANN (5) Juraj Gavura, Michal Vavrecka, Igor Farkas, Connor Gäde
2025	J	`jnl`	Robotic Calibration Based on Haptic Feedback Improves Sim-to-Real Transfer. CoRR Juraj Gavura, Michal Vavrecka, Igor Farkas, Connor Gäde
2025	J	`jnl`	Toward an Interaction-Centered Approach to Robot Trustworthiness. CoRR Carlo Mazzola, Hassan Ali, Kristína Malinovská, Igor Farkas
2024	—	`conf`	Learning Low-Level Causal Relations Using a Simulated Robotic Arm. ICANN (10) Miroslav Cibula, Matthias Kerzel, Igor Farkas
2024	J	`jnl`	Learning Low-Level Causal Relations using a Simulated Robotic Arm. CoRR Miroslav Cibula, Matthias Kerzel, Igor Farkas
2024	—	`conf`	RecViT: Enhancing Vision Transformer with Top-Down Information Flow. VISIGRAPP (3): VISAPP Stefan Pócos, Iveta Becková, Igor Farkas
2024	J	`jnl`	Self-supervised network distillation: An effective approach to exploration in sparse reward environments. Neurocomputing Matej Pechác, Michal Chovanec, Igor Farkas
2023	—	`conf`	Appearance-Based Gaze Estimation Enhanced with Synthetic Images Using Deep Neural Networks. SSCI Dmytro Herashchenko, Igor Farkas
2023	J	`jnl`	Appearance-based gaze estimation enhanced with synthetic images using deep neural networks. CoRR Dmytro Herashchenko, Igor Farkas
2023	J	`jnl`	Exploration by self-supervised exploitation. CoRR Matej Pechác, Michal Chovanec, Igor Farkas
2023	—	`conf`	Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models. ICANN (1) Andrej Lúcny, Kristína Malinovská, Igor Farkas
2023	J	`jnl`	Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models. CoRR Andrej Lúcny, Kristína Malinovská, Igor Farkas
2023	—	`conf`	Safe Reinforcement Learning in a Simulated Robotic Arm. ICANN (1) Luka Kovac, Igor Farkas
2023	J	`jnl`	Safe Reinforcement Learning in a Simulated Robotic Arm. CoRR Luka Kovac, Igor Farkas
2022	—	`conf`	A connectionist model of associating proprioceptive and tactile modalities in a humanoid robot. ICDL Kristína Malinovská, Igor Farkas, Jana Harvanová, Matej Hoffmann
2022	—	`conf`	Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks. ICANN (4) Stefan Pócos, Iveta Becková, Igor Farkas
2022	J	`jnl`	Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks. CoRR Stefan Pócos, Iveta Becková, Igor Farkas
2021	—	`conf`	Advances in Adaptive Skill Acquisition. ICANN (4) Juraj Holas, Igor Farkas
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I ICANN (1) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II ICANN (2) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III ICANN (3) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV ICANN (4) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V ICANN (5) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`conf`	Generative Properties of Universal Bidirectional Activation-Based Learning. ICANN (3) Kristína Malinovská, Igor Farkas
2021	—	`conf`	Intrinsic Motivation Model Based on Reward Gating. ICANN (4) Matej Pechác, Igor Farkas
2021	B	`conf`	Semi-supervised Learning in Camera Surveillance Image Classification. ICCP Matús Tuna, Kristína Malinovská, Igor Farkas, Svatopluk Kraus, Pavel Krsek
2020	—	`conf`	Adaptive Skill Acquisition in Hierarchical Reinforcement Learning. ICANN (2) Juraj Holas, Igor Farkas
2020	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I ICANN (1) Igor Farkas, Paolo Masulli, Stefan Wermter
2020	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II ICANN (2) Igor Farkas, Paolo Masulli, Stefan Wermter
2020	—	`conf`	Assessment of Manifold Unfolding in Trained Deep Neural Network Classifiers. TAILOR Stefan Pócos, Iveta Becková, Tomás Kuzma, Igor Farkas
2020	—	`conf`	Computational Analysis of Robustness in Neural Network Classifiers. ICANN (1) Iveta Becková, Stefan Pócos, Igor Farkas
2019	—	`conf`	Echo State Networks with Artificial Astrocytes and Hebbian Connections. IWANN (1) Peter Gergel, Igor Farkas
2019	—	`conf`	Embedding Complexity of Learned Representations in Neural Networks. ICANN (2) Tomas Kuzma, Igor Farkas
2019	—	`conf`	Experimental Procedure for Evaluation of Visuospatial Cognitive Functions Training in Virtual Reality. AISI Stefan Korecko, Branislav Sobota, Marián Hudák, Igor Farkas, Barbora Cimrová, Peter Vasil, Dominik Trojcák
2019	—	`conf`	Modeling Self-organized Emergence of Perspective In/variant Mirror Neurons in a Robotic System. ICDL-EPIROB Jakub Pospíchal, Igor Farkas, Matej Pechác, Kristína Malinovská
2019	—	`conf`	UBAL: a Universal Bidirectional Activation-based Learning Rule for Neural Networks. CIIS Kristína Malinovská, Ludovít Malinovský, Pavel Krsek, Svatopluk Kraus, Igor Farkas
2018	—	`conf`	Assessment and training of visuospatial cognitive functions in virtual reality: proposal and perspective. CogInfoCom Stefan Korecko, Marián Hudák, Branislav Sobota, Martin Marko, Barbora Cimrová, Igor Farkas, Roman Rosipal
2018	B	`conf`	Computational Analysis of Learned Representations in Deep Neural Network Classifiers. IJCNN Tomas Kuzma, Igor Farkas
2018	J	`jnl`	Computational model of enactive visuospatial mental imagery using saccadic perceptual actions. Cogn. Syst. Res. Jan Jug, Tine Kolenik, André Ofner, Igor Farkas
2018	B	`conf`	Evaluation of Information-Theoretic Measures in Echo State Networks on the Edge of Stability. IJCNN Miloslav Torda, Igor Farkas
2018	—	`conf`	Investigating the Role of Astrocyte Units in a Feedforward Neural Network. ICANN (3) Peter Gergel, Igor Farkas
2018	J	`jnl`	Robotic Homunculus: Learning of Artificial Skin Representation in a Humanoid Robot Motivated by Primary Somatosensory Cortex. IEEE Trans. Cogn. Dev. Syst. Matej Hoffmann, Zdenek Straka, Igor Farkas, Michal Vavrecka, Giorgio Metta
2018	—	`conf`	Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks. ICANN (3) Kristína Malinovská, Ludovít Malinovský, Igor Farkas
2017	B	`conf`	Maximizing memory capacity of echo state networks with orthogonalized reservoirs. IJCNN Igor Farkas, Peter Gergel
2016	J	`jnl`	Computational analysis of memory capacity in echo state networks. Neural Networks Igor Farkas, Radomír Bosák, Peter Gergel
2015	B	`conf`	Computational analysis of the Bidirectional Activation-based Learning in autoencoder task. IJCNN Peter Csiba, Igor Farkas
2015	—	`conf`	Connectionist Modeling of Part-Whole Analogy Learning. EAPCogSci Peter Gergel, Igor Farkas
2014	J	`jnl`	A Multimodal Connectionist Architecture for Unsupervised Grounding of Spatial Language. Cogn. Comput. Michal Vavrecka, Igor Farkas
2014	B	`conf`	Calculation of object position in various reference frames with a robotic simulator. CogSci Marcel Svec, Igor Farkas
2014	C	`conf`	Memory Capacity of Input-Driven Echo State Networks at the Edge of Chaos. ICANN Peter Barancok, Igor Farkas
2013	C	`conf`	Bidirectional Activation-based Neural Network Learning Algorithm. ICANN Igor Farkas, Kristína Rebrová
2013	—	`conf`	Towards a robotic model of the mirror neuron system. ICDL-EPIROB Kristína Rebrová, Matej Pechác, Igor Farkas
2012	J	`jnl`	Grounding the Meanings in Sensorimotor Behavior using Reinforcement Learning. Frontiers Neurorobotics Igor Farkas, Tomás Malík, Kristína Rebrová
2011	—	`conf`	Bio-inspired Model of Spatial Cognition. ICONIP (1) Michal Vavrecka, Igor Farkas, Lenka Lhotská
2011	B	`conf`	Modeling Utterance-mediated Attention in Situated Language Comprehension. CogSci Jan Svantner, Igor Farkas, Matthew W. Crocker
2010	J	`jnl`	Experimental comparison of recursive self-organizing maps for processing tree-structured data. Neurocomputing Pavol Vanco, Igor Farkas
2009	C	`conf`	Recursive Self-organizing Networks for Processing Tree Structures - Empirical Comparison. IJCCI Pavol Vanco, Igor Farkas
2009	J	`jnl`	Segmentation and supervised classification of image objects in Epo doping-control. Mach. Vis. Appl. Ivan Bajla, Frantisek Rublík, Barbora Arendacká, Igor Farkas, Klára Hornisová, Svorad Stolc, Viktor Witkovský
2008	—	`conf`	Learning Nonadjacent Dependencies with a Recurrent Neural Network. ICONIP (2) Igor Farkas
2008	J	`jnl`	Syntactic systematicity in sentence processing with a recurrent self-organizing network. Neurocomputing Igor Farkas, Matthew W. Crocker
2007	B	`conf`	Systematicity in sentence processing with a recursive self-organizing neural network. ESANN Igor Farkas, Matthew W. Crocker
2006	J	`jnl`	Dynamics and Topographic Organization of Recursive Self-Organizing Maps. Neural Comput. Peter Tiño, Igor Farkas, Jort van Mourik
2005	—	`conf`	On Non-markovian Topographic Organization of Receptive Fields in Recursive Self-organizing Map. ICNC (2) Peter Tiño, Igor Farkas
2005	C	`conf`	Recursive Self-organizing Map as a Contractive Iterative Function System. IDEAL Peter Tiño, Igor Farkas, Jort van Mourik
2004	J	`jnl`	Early lexical development in a self-organizing neural network. Neural Networks Ping Li, Igor Farkas, Brian MacWhinney
2002	—	`conf`	Modeling the Development of Lexicon with a Growing Self-Organizing Map. JCIS Igor Farkas, Ping Li
1998	J	`jnl`	Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network. Neural Process. Lett. Roman Rosipal, Milos Koska, Igor Farkas