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András Lorincz
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2020 – today
- 2024
[c78]János Adrián Gulyás, Miklós Máté Badó, Kristian Fenech, András Lorincz:
Keep Gesturing: A Game for Pragmatic Communication. HHAI 2024: 463-465- [i36]Ádám Fodor, Rachid Riad Saboundji, András Lorincz:
Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings. CoRR abs/2405.03846 (2024) - [i35]László Kopácsi, Áron Fóthi, András Lorincz:
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images. CoRR abs/2405.04650 (2024) - [i34]Maria Tsfasman, Bernd Dudzik, Kristian Fenech, András Lörincz, Catholijn M. Jonker, Catharine Oertel:
Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations. CoRR abs/2409.13715 (2024) - 2023
- [j71]Ellák Somfai
, Benjámin Baffy, Kristian Fenech, Rita Hosszú, Dorina Korózs, Marcell Pólik, Miklós Sárdy, András Lorincz:
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images. Int. J. Imaging Syst. Technol. 33(2): 556-571 (2023) - [j70]Ádám Fodor, Kristian Fenech, András Lorincz:
BlinkLinMulT: Transformer-Based Eye Blink Detection. J. Imaging 9(10): 196 (2023) - [j69]László Kopácsi, Benjámin Baffy, Gábor Baranyi, Joul Skaf, Gábor Sörös, Szilvia Szeier, András Lorincz, Daniel Sonntag:
Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction. Sensors 23(11): 5126 (2023) - [c77]Bruno Carlos Dos Santos Melício, Linyun Xiang, Emily Dillon, Latha Soorya, Mohamed Chetouani, Andras Sarkany, Peter Kun, Kristian Fenech, András Lörincz:
Composite AI for Behavior Analysis in Social Interactions. ICMI Companion 2023: 389-397 - 2022
- [j68]Anna Gelencsér-Horváth, László Kopácsi, Viktor Varga, Dávid Keller, Árpád Dobolyi, Kristóf Karacs, András Lorincz:
Tracking Highly Similar Rat Instances under Heavy Occlusions: An Unsupervised Deep Generative Pipeline. J. Imaging 8(4): 109 (2022) - [j67]Gábor Baranyi, Bruno Carlos Dos Santos Melício, Zsófia Gaál, Levente Hajder, András Simonyi, Dániel Sindely, Joul Skaf, Ondrej Dusek, Tomás Nekvinda, András Lorincz:
AI Technologies for Machine Supervision and Help in a Rehabilitation Scenario. Multimodal Technol. Interact. 6(7): 48 (2022) - [c76]Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz:
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. DeLTA 2022: 77-85 - [c75]Maria Tsfasman, Kristian Fenech, Morita Tarvirdians, András Lörincz, Catholijn M. Jonker, Catharine Oertel:
Towards creating a conversational memory for long-term meeting support: predicting memorable moments in multi-party conversations through eye-gaze. ICMI 2022: 94-104 - [i33]Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz:
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. CoRR abs/2205.08955 (2022) - [i32]Kristian Fenech, Ádám Fodor, Sean P. Bergeron, Rachid Riad Saboundji, Catharine Oertel, András Lorincz:
Perceived personality state estimation in dyadic and small group interaction with deep learning methods. CoRR abs/2211.04979 (2022) - 2021
- [j66]Ádám Fodor, László Kopácsi, Zoltán Ádám Milacski, András Lorincz:
Speech De-identification with Deep Neural Networks. Acta Cybern. 25(2): 257-269 (2021) - [c74]Bruno Carlos Dos Santos Melício, Gábor Baranyi, Zsófia Gaál, Sohil Zidan, András Lorincz:
DeepRehab: Real Time Pose Estimation on the Edge for Knee Injury Rehabilitation. ICANN (3) 2021: 380-391 - [c73]László Kopácsi, Árpád Dobolyi, Áron Fóthi, Dávid Keller, Viktor Varga, András Lorincz:
RATS: Robust Automated Tracking and Segmentation of Similar Instances. ICANN (3) 2021: 507-518 - [c72]Ádám Fodor, Rachid Riad Saboundji, Júlio C. S. Jacques Júnior, Sergio Escalera, David Gallardo-Pujol, András Lorincz:
Multimodal Sentiment and Personality Perception Under Speech: A Comparison of Transformer-based Architectures. DYAD@ICCV 2021: 218-241 - [c71]Dávid Rozenberszki, Gábor Sörös, Szilvia Szeier, András Lorincz:
3D Semantic Label Transfer in Human-Robot Collaboration. ICCVW 2021: 2602 - [c70]Viktor Varga, András Lorincz:
Fast Interactive Video Object Segmentation with Graph Neural Networks. IJCNN 2021: 1-10 - [i31]Ellák Somfai, Benjámin Baffy, Kristian Fenech, Changlu Guo, Rita Hosszú, Dorina Korózs, Fabrizio Nunnari, Marcell Pólik, Daniel Sonntag, Attila Ulbert, András Lorincz:
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification. CoRR abs/2102.09199 (2021) - [i30]Viktor Varga, András Lorincz:
Fast Interactive Video Object Segmentation with Graph Neural Networks. CoRR abs/2103.03821 (2021) - 2020
- [j65]Viktor Varga, András Lorincz:
Reducing human efforts in video segmentation annotation with reinforcement learning. Neurocomputing 405: 247-258 (2020) - [c69]Márton Véges, András Lorincz:
Multi-person Absolute 3D Human Pose Estimation with Weak Depth Supervision. ICANN (1) 2020: 258-270 - [c68]Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz:
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing. ICML 2020: 6893-6904 - [c67]Áron Fóthi, Kinga Bettina Faragó, László Kopácsi, Zoltán Ádám Milacski, Viktor Varga, András Lorincz:
Multi Object Tracking for Similar Instances: A Hybrid Architecture. ICONIP (1) 2020: 436-447 - [c66]Márton Véges, András Lorincz:
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People. ICONIP (1) 2020: 557-568 - [i29]Márton Véges, András Lorincz:
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision. CoRR abs/2004.03989 (2020) - [i28]Márton Véges, András Lörincz:
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People. CoRR abs/2011.00250 (2020)
2010 – 2019
- 2019
- [j64]Márton Véges, Viktor Varga, András Lörincz:
3D human pose estimation with siamese equivariant embedding. Neurocomputing 339: 194-201 (2019) - [c65]András Lorincz:
Sparsified and Twisted Residual Autoencoders - Mapping Cartesian Factors to the Entorhinal-Hippocampal Complex. BICA 2019: 321-332 - [c64]Zoltán Ádám Milacski, Barnabás Póczos, András Lorincz:
Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet. BMVC 2019: 140 - [c63]Ádám Fodor, Áron Fóthi, László Kopácsi, Ellák Somfai, András Lorincz:
Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation. IJCNN 2019: 1-7 - [c62]László Kopácsi, Áron Fóthi, Ádám Fodor, Ellák Somfai, András Lorincz:
Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks. IJCNN 2019: 1-7 - [c61]Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz:
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification. IJCNN 2019: 1-10 - [c60]Márton Véges, András Lorincz:
Absolute Human Pose Estimation with Depth Prediction Network. IJCNN 2019: 1-7 - [i27]Márton Véges, András Lörincz:
Absolute Human Pose Estimation with Depth Prediction Network. CoRR abs/1904.05947 (2019) - 2018
- [j63]András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, Andras Sarkany, Zoltan Toser:
Towards reasoning based representations: Deep Consistence Seeking Machine. Cogn. Syst. Res. 47: 92-108 (2018) - [i26]Márton Véges, Viktor Varga, András Lörincz:
3D Human Pose Estimation with Siamese Equivariant Embedding. CoRR abs/1809.07217 (2018) - 2017
- [c59]András Lörincz, Áron Fóthi, Bryar O. Rahman, Viktor Varga:
Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition. ICCV Workshops 2017: 2789-2797 - [i25]Daniel Sonntag, Michael Barz, Jan Zacharias, Sven Stauden, Vahid Rahmani, Áron Fóthi, András Lörincz:
Fine-tuning deep CNN models on specific MS COCO categories. CoRR abs/1709.01476 (2017) - 2016
- [c58]András Lörincz, András Sárkány, Zoltán Ádám Milacski, Zoltán Tosér:
Estimating Cartesian Compression via Deep Learning. AGI 2016: 294-304 - [c57]András Lorincz:
Cartesian Abstraction Can Yield 'Cognitive Maps'. BICA 2016: 259-271 - [c56]Zoltán Tosér, László A. Jeni, András Lörincz, Jeffrey F. Cohn:
Deep Learning for Facial Action Unit Detection Under Large Head Poses. ECCV Workshops (3) 2016: 359-371 - [c55]Richárd Bellon, Younggeon Choi, Nikoletta Ekker, Vincent Lepetit, L. Mike Olasz, Daniel Sonntag, Zoltán Tosér, Kyounghwan Yoo, András Lörincz:
Model Based Augmentation and Testing of an Annotated Hand Pose Dataset. KI 2016: 17-29 - [c54]Zoltán Tosér, Róbert Adrian Rill, Kinga Bettina Faragó, László A. Jeni, András Lörincz:
Personalization of Gaze Direction Estimation with Deep Learning. KI 2016: 200-207 - [i24]András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, András Sárkány, Zoltán Tosér:
Cognitive Deep Machine Can Train Itself. CoRR abs/1612.00745 (2016) - 2015
- [j62]András Lörincz:
Revolution in Health and Wellbeing - Machine Learning, Crowdsourcing and Self-annotation. Künstliche Intell. 29(2): 219-222 (2015) - [c53]Zoltan Toser, András Lörincz:
The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification. AGI 2015: 373-383 - [c52]Kinga Bettina Faragó, Zoltán Ádám Milacski, András Németh, András Lörincz:
Enhancing Crowdsourced Applications via Incorporated Practice Sessions. GamifIR@ECIR 2015: 41-43 - [c51]Zoltán Ádám Milacski, Marvin Ludersdorfer, András Lörincz, Patrick van der Smagt:
Robust Detection of Anomalies via Sparse Methods. ICONIP (3) 2015: 419-426 - [c50]András Sárkány, Zoltán Tosér, Anita L. Vero, András Lörincz, Takumi Toyama, Ehsan Nadjaran Toosi, Daniel Sonntag:
Maintain and Improve Mental Health by Smart Virtual Reality Serious Games. MindCare 2015: 220-229 - [c49]Andras Mihaly, Zoltán Ádám Milacski, Zoltan Toser, András Lörincz, Tamás Tettamanti, István Varga:
Cost and risk sensitive decision making and control for highway overtaking maneuver. MT-ITS 2015: 87-92 - 2014
- [c48]Gyula Vörös, Peter Rabi, Balázs Pintér, Andras Sarkany, Daniel Sonntag, András Lörincz:
Recommending Missing Symbols of Augmentative and Alternative Communication by Means of Explicit Semantic Analysis. AAAI Fall Symposia 2014 - [c47]Zsolt Palotai, Miklos Lang, Andras Sarkany, Zoltan Toser, Daniel Sonntag, Takumi Toyama, András Lörincz:
LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos. CBMI 2014: 1-4 - [c46]Daniel Sonntag, Sonja Zillner, Samarjit Chakraborty, András Lörincz, Esko Strömmer, Luciano Serafini:
The Medical Cyber-physical Systems Activity at EIT: A Look under the Hood. CBMS 2014: 351-356 - [c45]László A. Jeni, András Lörincz, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade:
Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity. ECCV (4) 2014: 135-150 - [c44]Gyula Vörös, Anita Verö, Balázs Pintér, Brigitta Miksztai-Réthey, Takumi Toyama, András Lörincz, Daniel Sonntag:
Towards a Smart Wearable Tool to Enable People with SSPI to Communicate by Sentence Fragments. MindCare 2014: 90-99 - [c43]Jason Orlosky, Takumi Toyama, Daniel Sonntag, Andras Sarkany, András Lörincz:
On-body multi-input indoor localization for dynamic emergency scenarios: fusion of magnetic tracking and optical character recognition with mixed-reality display. PerCom Workshops 2014: 320-325 - 2013
- [c42]András Lörincz, László Attila Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade:
Emotional Expression Classification Using Time-Series Kernels. CVPR Workshops 2013: 889-895 - [c41]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding. ICPRAM (Selected Papers) 2013: 241-255 - [c40]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Explaining Unintelligible Words by Means of their Context. ICPRAM 2013: 382-387 - [c39]Peter Stumpf, András Lörincz, István Nagy:
Analysis and compensation of oscillations in digitally controlled PFC converter. IECON 2013: 8356-8361 - [c38]Peter Stumpf, András Lorincz, István Nagy:
Stability of digitally controlled PFC boost converter with auxiliary state vector. ISIE 2013: 1-6 - [i23]András Lörincz, László A. Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade:
Emotional Expression Classification using Time-Series Kernels. CoRR abs/1306.1913 (2013) - 2012
- [j61]Zoltán Szabó, András Lörincz:
Distributed high dimensional information theoretical image registration via random projections. Digit. Signal Process. 22(6): 894-902 (2012) - [j60]András Lörincz, Zsolt Palotai, Gábor Szirtes:
Sparse and silent coding in neural circuits. Neurocomputing 79: 115-124 (2012) - [j59]László A. Jeni, András Lörincz, Tamás Nagy, Zsolt Palotai, Judit Sebok, Zoltán Szabó, Dániel Takács:
3D shape estimation in video sequences provides high precision evaluation of facial expressions. Image Vis. Comput. 30(10): 785-795 (2012) - [j58]András Lörincz, Zsolt Palotai, Gábor Szirtes:
Efficient Sparse Coding in Early Sensory Processing: Lessons from Signal Recovery. PLoS Comput. Biol. 8(3) (2012) - [j57]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Separation theorem for independent subspace analysis and its consequences. Pattern Recognit. 45(4): 1782-1791 (2012) - [c37]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Collaborative Filtering via Group-Structured Dictionary Learning. LVA/ICA 2012: 247-254 - [i22]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Collaborative Filtering via Group-Structured Dictionary Learning. CoRR abs/1201.0341 (2012) - [i21]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Automated Word Puzzle Generation via Topic Dictionaries. CoRR abs/1206.0377 (2012) - [i20]Zoltán Szabó, András Lörincz:
Distributed High Dimensional Information Theoretical Image Registration via Random Projections. CoRR abs/1210.0824 (2012) - 2011
- [c36]András Lörincz:
Learning the States: A Brain Inspired Neural Model. AGI 2011: 315-320 - [c35]András Lörincz, Dániel Takács:
AGI Architecture Measures Human Parameters and Optimizes Human Performance. AGI 2011: 321-326 - [c34]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Online group-structured dictionary learning. CVPR 2011: 2865-2872 - [c33]László A. Jeni, Dániel Takács, András Lörincz:
High quality facial expression recognition in video streams using shape related information only. ICCV Workshops 2011: 2168-2174 - [i19]Gabor Matuz, András Lörincz:
Decision Making Agent Searching for Markov Models in Near-Deterministic World. CoRR abs/1102.5561 (2011) - 2010
- [j56]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Auto-regressive independent process analysis without combinatorial efforts. Pattern Anal. Appl. 13(1): 1-13 (2010) - [i18]András Lörincz, Zsolt Palotai, Gábor Szirtes:
Sparse and silent coding in neural circuits. CoRR abs/1010.4138 (2010)
2000 – 2009
- 2009
- [j55]Zoltán Szabó, András Lörincz:
Complex Independent Process Analysis. Acta Cybern. 19(1): 177-190 (2009) - [j54]Katalin Anna Lázár, Erzsébet Csuhaj-Varjú, András Lörincz, György Vaszil:
Dynamically formed Clusters of Agents in Eco-Grammar Systems. Int. J. Found. Comput. Sci. 20(2): 293-311 (2009) - [j53]Barnabás Póczos, András Lörincz:
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques. J. Mach. Learn. Res. 10: 515-554 (2009) - [j52]András Lörincz, Gábor Szirtes:
Here and now: How time segments may become events in the hippocampus. Neural Networks 22(5-6): 738-747 (2009) - [c32]Balázs Pintér, Ákos Bontovics, András Lörincz:
Multiagent Reinforcement Learning Model for the Emergence of Common Property and Transhumance in Sub-Saharan Africa. ALA 2009: 91-106 - [c31]Istvan Szita, András Lörincz:
Optimistic initialization and greediness lead to polynomial time learning in factored MDPs. ICML 2009: 1001-1008 - [c30]Zoltán Szabó, András Lörincz:
Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles. ICA 2009: 146-153 - [c29]András Lörincz, Gábor Szirtes:
Autoregressive model of the hippocampal representation of events. IJCNN 2009: 1885-1892 - [c28]Zoltán Szabó, András Lörincz:
Controlled Complete ARMA Independent Process Analysis. IJCNN 2009: 3038-3045 - [i17]Istvan Szita, András Lörincz:
Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version. CoRR abs/0904.3352 (2009) - 2008
- [j51]Istvan Szita, András Lörincz:
Factored Value Iteration Converges. Acta Cybern. 18(4): 615-635 (2008) - [j50]László A. Jeni, György Flórea, András Lörincz:
InfoMax Bayesian Learning of the Furuta Pendulum. Acta Cybern. 18(4): 637-649 (2008) - [j49]Viktor Gyenes, Ákos Bontovics, András Lörincz:
Factored Temporal Difference Learning in the New Ties Environment. Acta Cybern. 18(4): 651-668 (2008) - [j48]Katalin Anna Lázár, Erzsébet Csuhaj-Varjú, András Lörincz:
Peer-to-Peer Networks: A Language Theoretic Approach. Comput. Informatics 27(3): 403-422 (2008) - [j47]András Lörincz, Zsolt Palotai, Gábor Szirtes:
Spike-based cross-entropy method for reconstruction. Neurocomputing 71(16-18): 3635-3639 (2008) - [j46]Jürgen Jost, Dirk Helbing, András Lörincz, Martin Middendorf:
Editorial. Theory Biosci. 127(2): 67-68 (2008) - [c27]András Lörincz:
Hippocampal Formation Breaks Combinatorial Explosion for Reinforcement Learning: A Conjecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 105-110 - [c26]Istvan Szita, András Lörincz:
The many faces of optimism: a unifying approach. ICML 2008: 1048-1055 - [i16]Barnabás Póczos, András Lörincz:
D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks. CoRR abs/0801.1883 (2008) - [i15]Istvan Szita, András Lörincz:
Online variants of the cross-entropy method. CoRR abs/0801.1988 (2008) - [i14]Istvan Szita, András Lörincz:
Factored Value Iteration Converges. CoRR abs/0801.2069 (2008) - [i13]Istvan Szita, András Lörincz:
The many faces of optimism - Extended version. CoRR abs/0810.3451 (2008) - 2007
- [j45]Zoltán Szabó, András Lörincz:
Independent Subspace Analysis can Cope with the 'Curse of Dimensionality'. Acta Cybern. 18(2): 213-221 (2007) - [j44]András Lörincz, Zoltán Szabó:
Neurally plausible, non-combinatorial iterative independent process analysis. Neurocomputing 70(7-9): 1569-1573 (2007) - [j43]Bálint Takács, András Lörincz:
Simple conditions for forming triangular grids. Neurocomputing 70(10-12): 1741-1747 (2007) - [j42]Istvan Szita, András Lörincz:
Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man. J. Artif. Intell. Res. 30: 659-684 (2007) - [j41]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Undercomplete Blind Subspace Deconvolution. J. Mach. Learn. Res. 8: 1063-1095 (2007) - [c25]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Undercomplete Blind Subspace Deconvolution Via Linear Prediction. ECML 2007: 740-747 - [c24]Barnabás Póczos, Zoltán Szabó, Melinda Kiszlinger, András Lörincz:
Independent Process Analysis Without a Priori Dimensional Information. ICA 2007: 252-259 - [c23]Zoltán Szabó, Barnabás Póczos, Gábor Szirtes, András Lörincz:
Post Nonlinear Independent Subspace Analysis. ICANN (1) 2007: 677-686 - [c22]Viktor Gyenes, András Lörincz:
Co-learning and the Development of Communication. ICANN (1) 2007: 827-837 - 2006
- [j40]Zoltán Szabó, András Lörincz:
ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks. Acta Cybern. 17(3): 605-614 (2006) - [j39]Bálint Takács, András Lörincz:
Independent component analysis forms place cells in realistic robot simulations. Neurocomputing 69(10-12): 1249-1252 (2006) - [j38]Barnabás Póczos, András Lörincz:
Non-combinatorial estimation of independent autoregressive sources. Neurocomputing 69(16-18): 2416-2419 (2006) - [j37]István Szita, András Lörincz:
PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities. Neurocomputing 70(1-3): 577-591 (2006) - [j36]Gábor Ziegler, Csilla Farkas, András Lörincz:
A framework for anonymous but accountable self-organizing communities. Inf. Softw. Technol. 48(8): 726-744 (2006) - [j35]Nigel Gilbert, Matthijs den Besten, Ákos Bontovics, Bart G. W. Craenen, Federico Divina, Ágoston E. Eiben, Robert Griffioen, György Hévízi, András Lörincz, Ben Paechter, Stephan C. Schuster, Martijn C. Schut, Christian Tzolov, Paul Vogt, Lu Yang:
Emerging Artificial Societies Through Learning. J. Artif. Soc. Soc. Simul. 9(2) (2006) - [j34]Istvan Szita, András Lörincz:
Learning Tetris Using the Noisy Cross-Entropy Method. Neural Comput. 18(12): 2936-2941 (2006) - [c21]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Cross-Entropy Optimization for Independent Process Analysis. ICA 2006: 909-916 - [c20]Márton Albert Hajnal, András Lörincz:
Critical Echo State Networks. ICANN (1) 2006: 658-667 - [c19]Istvan Szita, Viktor Gyenes, András Lörincz:
Reinforcement Learning with Echo State Networks. ICANN (1) 2006: 830-839 - [p1]Zsolt Palotai, Sándor Mandusitz, András Lörincz:
Computer study of the evolution of 'news foragers' on the Internet. Swarm Intelligence in Data Mining 2006: 203-219 - [i12]Istvan Szita, András Lörincz:
Low-complexity modular policies: learning to play Pac-Man and a new framework beyond MDPs. CoRR abs/cs/0610170 (2006) - 2005
- [j33]Zsolt Palotai, Bálint Gábor, András Lörincz:
Adaptive Highlighting Of Links To Assist Surfing On The Internet. Int. J. Inf. Technol. Decis. Mak. 4(1): 117-140 (2005) - [j32]Gábor Szirtes, Barnabás Póczos, András Lörincz:
Neural Kalman filter. Neurocomputing 65-66: 349-355 (2005) - [j31]András Lörincz:
Attentional filtering in neocortical areas: a top-down model. Neurocomputing 65-66: 817-823 (2005) - [c18]Zsolt Palotai, Csilla Farkas, András Lörincz:
Selection in Scale-Free Small World. CEEMAS 2005: 579-582 - [c17]György Hévízi, B. Geröfi, B. Szendrö, András Lörincz:
Assisting Robotic Personal Agent and Cooperating Alternative Input Devices for Severely Disabled Children. CEEMAS 2005: 591-594 - [c16]Barnabás Póczos, Bálint Takács, András Lörincz:
Independent Subspace Analysis on Innovations. ECML 2005: 698-706 - [c15]Barnabás Póczos, András Lörincz:
Independent Subspace Analysis Using k-Nearest Neighborhood Distances. ICANN (2) 2005: 163-168 - [c14]Barnabás Póczos, András Lörincz:
Independent subspace analysis using geodesic spanning trees. ICML 2005: 673-680 - [c13]Bálint Gábor, Viktor Gyenes, András Lörincz:
Corpus-Based Neural Network Method for Explaining Unknown Words by WordNet Senses. PKDD 2005: 470-477 - [i11]Zsolt Palotai, Csilla Farkas, András Lörincz:
Selection in Scale-Free Small World. CoRR abs/cs/0504063 (2005) - 2004
- [j30]Istvan Szita, András Lörincz:
Kalman Filter Control Embedded into the Reinforcement Learning Framework. Neural Comput. 16(3): 491-499 (2004) - [j29]György Hévízi, T. Marcinkovics, András Lörincz:
Improving recognition accuracy on structured documents by learning structural patterns. Pattern Anal. Appl. 7(1): 66-76 (2004) - [i10]Istvan Szita, András Lörincz:
Applying Policy Iteration for Training Recurrent Neural Networks. CoRR cs.AI/0410004 (2004) - [i9]Zoltán Szabó, András Lörincz:
L1 regularization is better than L2 for learning and predicting chaotic systems. CoRR cs.LG/0410015 (2004) - [i8]András Lörincz:
Intelligent encoding and economical communication in the visual stream. CoRR q-bio.NC/0403022 (2004) - 2003
- [j28]András Lörincz, Imre Pólik, Istvan Szita:
Event-learning and robust policy heuristics. Cogn. Syst. Res. 4(4): 319-337 (2003) - [j27]András Lörincz, Barnabás Póczos:
Cost Component Analysis. Int. J. Neural Syst. 13(3): 183-192 (2003) - [j26]Botond Szatmáry, Gábor Szirtes, András Lörincz:
Robust hierarchical image representation using non-negative matrix factorisation with sparse code shrinkage preprocessing. Pattern Anal. Appl. 6(3): 194-200 (2003) - [i7]Bálint Takács, Istvan Szita, András Lörincz:
Temporal plannability by variance of the episode length. CoRR cs.AI/0301006 (2003) - [i6]Barnabás Póczos, András Lörincz:
Kalman-filtering using local interactions. CoRR cs.AI/0302039 (2003) - [i5]Zsolt Palotai, Sándor Mandusitz, András Lörincz:
Centralized reward system gives rise to fast and efficient work sharing for intelligent Internet agents lacking direct communication. CoRR cs.IR/0308042 (2003) - [i4]Istvan Szita, András Lörincz:
Kalman filter control in the reinforcement learning framework. CoRR cs.LG/0301007 (2003) - [i3]Istvan Szita, András Lörincz:
Reinforcement Learning with Linear Function Approximation and LQ control Converges. CoRR cs.LG/0306120 (2003) - [i2]András Lörincz:
Controlled hierarchical filtering: Model of neocortical sensory processing. CoRR cs.NE/0308025 (2003) - 2002
- [j25]Zsolt Palotai, T. Kandár, Z. Mohr, T. Visegrády, Gábor Ziegler, Péter Arató, András Lörincz:
Value Prediction in HLS Allocation Problems Using Intellectual Properties. Appl. Artif. Intell. 16(2): 117-157 (2002) - [j24]István Kókai, András Lörincz:
Fast adapting value estimation-based hybrid architecture for searching the world-wide web. Appl. Soft Comput. 2(1): 11-23 (2002) - [j23]András Lörincz, István Kókai, Attila Meretei:
Intelligent High-Performance Crawlers Used to Reveal Topic-Specific Structure of WWW. Int. J. Found. Comput. Sci. 13(4): 477-495 (2002) - [j22]András Lörincz, Gábor Szirtes, Bálint Takács, Irving Biederman, Rufin Vogels:
Relating Priming and Repetition Suppression. Int. J. Neural Syst. 12(3-4): 187-201 (2002) - [j21]András Lörincz, Botond Szatmáry, Gábor Szirtes:
The Mystery of Structure and Function of Sensory Processing Areas of the Neocortex: A Resolution. J. Comput. Neurosci. 13(3): 187-205 (2002) - [j20]Istvan Szita, Bálint Takács, András Lörincz:
MDPs: Learning in Varying Environments. J. Mach. Learn. Res. 3: 145-174 (2002) - [c12]Istvan Szita, Bálint Takács, András Lörincz:
Reinforcement Learning Integrated with a Non-Markovian Controller. ECAI 2002: 365-369 - [c11]Botond Szatmáry, Barnabás Póczos, Julian Eggert, Edgar Körner, András Lörincz:
Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms. ECAI 2002: 503-507 - [c10]Csilla Farkas, Gábor Ziegler, Attila Meretei, András Lörincz:
Anonymity and accountability in self-organizing electronic communities. WPES 2002: 81-90 - [i1]Istvan Szita, Bálint Takács, András Lörincz:
Searching for Plannable Domains can Speed up Reinforcement Learning. CoRR cs.AI/0212025 (2002) - 2001
- [j19]András Lörincz, György Hévízi, Csaba Szepesvári:
Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops. Int. J. Neural Syst. 11(2): 125-143 (2001) - [j18]András Lörincz, Gábor Szirtes, Bálint Takács, György Buzsáki:
Independent component analysis of temporal sequences forms place cells. Neurocomputing 38-40: 769-774 (2001) - [j17]András Lörincz, Botond Szatmáry, Ata Kabán:
Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences. Neurocomputing 38-40: 1437-1442 (2001) - [j16]Botond Szatmáry, András Lörincz:
Independent Component Analysis of Temporal Sequences Subject to Constraints by Lateral Geniculate Nucleus Inputs Yields All the Three Major Cell Types of the Primary Visual Cortex. J. Comput. Neurosci. 11(3): 241-248 (2001) - [c9]Gábor Ziegler, Zsolt Palotai, Tibor Cinkler, Péter Arató, András Lörincz:
Value Prediction in Engineering Applications. IEA/AIE 2001: 25-34 - 2000
- [j15]Zsolt Kalmár, Csaba Szepesvári, András Lörincz:
Modular Reinforcement Learning: A Case Study in a Robot Domain. Acta Cybern. 14(3): 507-522 (2000) - [c8]András Lörincz, Botond Szatmáry, Gábor Szirtes, Bálint Takács:
Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks. NCPW 2000: 73-82
1990 – 1999
- 1999
- [j14]J. Körmendy-Rácz, S. Szabó, J. Lörincz, G. Antal, Gyula Kovács, András Lörincz:
Winner-Take-All Network Utilising Pseudoinverse Reconstruction Subnets Demonstrates Robustness on the Handprinted Character Recognition Problem. Neural Comput. Appl. 8(2): 163-176 (1999) - [j13]Zsolt Kalmár, Zsolt Marczell, Csaba Szepesvári, András Lörincz:
Parallel and robust skeletonization built on self-organizing elements. Neural Networks 12(1): 163-173 (1999) - [c7]András Lörincz, György Buzsáki:
Computational model of the entorhinal-hippocampal region derived from a single principle. IJCNN 1999: 58-63 - [c6]Peter Aszalos, Szabolcs Kéri, György Kovács, György Benedek, Zolton Janka, András Lörincz:
Generative network explains category formation in Alzheimer patients. IJCNN 1999: 64-68 - 1998
- [j12]Zsolt Kalmár, Csaba Szepesvári, András Lörincz:
Module-Based Reinforcement Learning: Experiments with a Real Robot. Auton. Robots 5(3-4): 273-295 (1998) - [j11]András Lörincz:
Forming independent components via temporal locking of reconstruction architectures: a functional model of the hippocampus. Biol. Cybern. 79(3): 263-275 (1998) - [j10]Csaba Szepesvári, András Lörincz:
An integrated architecture for motion-control and path-planning. J. Field Robotics 15(1): 1-15 (1998) - [j9]Zsolt Kalmár, Csaba Szepesvári, András Lörincz:
Module-Based Reinforcement Learning: Experiments with a Real Robot. Mach. Learn. 31(1-3): 55-85 (1998) - 1997
- [j8]András Lörincz:
Static and Dynamic State Feedback Control Model of Basal Ganglia-Thalamocortical Loops. Int. J. Neural Syst. 8(3): 339-357 (1997) - [j7]Csaba Szepesvári, Szabolcs Cimmer, András Lörincz:
Neurocontroller using dynamic state feedback for compensatory control. Neural Networks 10(9): 1691-1708 (1997) - [c5]Zsolt Kalmár, Csaba Szepesvári, András Lörincz:
Module Based Reinforcement Learning: An Application to a Real Robot. EWLR 1997: 29-45 - [c4]András Lörincz:
Hippocampal Formation Trains Independent Components via Forcing Input Reconstruction. ICANN 1997: 163-168 - [c3]M. Oláh, P. Masa, András Lörincz:
A Mixed-Signal VLSI Circuit for Skeletonization by Grassfire Transformation. ICANN 1997: 1205-1210 - 1996
- [j6]Tamás Rozgonyi, László Balázs, Tibor Fomin, András Lörincz:
Self-organized formation of a set of scaling filters and their neighbouring connections. Biol. Cybern. 75(1): 37-47 (1996) - [j5]Tibor Fomin, Tamás Rozgonyi, Csaba Szepesvári, András Lörincz:
Self-Organizing Multi-Resolution Grid for Motion Planning and Control. Int. J. Neural Syst. 7(6): 757- (1996) - [j4]Csaba Szepesvári, András Lörincz:
Approximate geometry representations and sensory fusion. Neurocomputing 12(2-3): 267-287 (1996) - [c2]Stephane Tavitian, Tibor Fomin, András Lörincz:
Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight Modulation. ICANN 1996: 697-702 - [c1]Csaba Szepesvári, András Lörincz:
Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers. ICANN 1996: 791-796 - 1995
- [j3]Gábor J. Tóth, Szabolcs Kovács, András Lörincz:
Genetic algorithm with alphabet optimization. Biol. Cybern. 73(1): 61-68 (1995) - 1994
- [j2]Csaba Szepesvári, László Balázs, András Lörincz:
Topology Learning Solved by Extended Objects: A Neural Network Model. Neural Comput. 6(3): 441-458 (1994) - 1993
- [j1]Csaba Szepesvári, András Lörincz:
Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts. Adapt. Behav. 2(2): 131-160 (1993)
Coauthor Index
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