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Michail Maniadakis
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2020 – today
- 2023
- [c33]Georgios Alexakis, Michail Maniadakis:
Hyperspectral Classification of Recyclable Plastics in Industrial Setups. AIAI (1) 2023: 416-428 - [c32]Nick Tsagarakis, Alexandros Antonaras, Michail Maniadakis:
Synthetic data generation based on grid deformation for waste recycling applications. IST 2023: 1-6 - 2022
- [c31]Konstantia Moirogiorgou, Freiderikos Raptopoulos, George Livanos, Stavros Orfanoudakis
, Maria Papadogiorgaki, Michalis E. Zervakis, Michail Maniadakis:
Intelligent robotic system for urban waste recycling. IST 2022: 1-6 - 2021
- [j18]Maria Koskinopoulou
Robotic Waste Sorting Technology: Toward a Vision-Based Categorization System for the Industrial Robotic Separation of Recyclable Waste. IEEE Robotics Autom. Mag. 28(2): 50-60 (2021) - [c30]Konstantinos E. Papoutsakis
Detection of physical strain and fatigue in industrial environments using visual and non-visual sensors. PETRA 2021: 270-271 - 2020
- [j17]Michail Maniadakis
Time-Aware Multi-Agent Symbiosis. Frontiers Robotics AI 7: 503452 (2020) - [j16]Maria Koskinopoulou
Speed Adaptation in Learning from Demonstration through Latent Space Formulation. Robotica 38(10): 1867-1879 (2020) - [c29]Fredy Raptopoulos, Maria Koskinopoulou
Robotic Pick-and-Toss Facilitates Urban Waste Sorting *. CASE 2020: 1149-1154 - [c28]Emmanouil Papadakis
On the Use of Vacuum Technology for Applied Robotic Systems. ICMRE 2020: 73-77
2010 – 2019
- 2019
- [c27]Emmanouil Hourdakis, Michail Maniadakis
Online Performance Prediction and Profiling of Human Activities by Observation. IROS 2019: 3035-3040 - 2018
- [i2]Parmenion Mokios, Michail Maniadakis:
Time-informed Human-Robot Interaction: Combining Time, Emotions, Skills and Task Ordering. ERCIM News 2018(114) (2018) - 2017
- [j15]Michail Maniadakis
Time-informed task planning in multi-agent collaboration. Cogn. Syst. Res. 43: 291-300 (2017) - [c26]Michail Maniadakis
Emotionally Modulated Time Perception for Prioritized Robot Assistance. HRI (Companion) 2017: 197-198 - [c25]Markos Sigalas, Michail Maniadakis
Time-Aware Long-term Episodic Memory for Recurring HRI. HRI (Companion) 2017: 287-288 - [c24]Markos Sigalas, Michail Maniadakis
Episodic memory formulation and its application in long-term HRI. RO-MAN 2017: 599-606 - 2016
- [c23]Michail Maniadakis
Collaboration of heterogeneous agents in time constrained tasks. Humanoids 2016: 448-453 - [c22]David Bhowmik, Kyriacos Nikiforou, Murray Shanahan, Michail Maniadakis
A reservoir computing model of episodic memory. IJCNN 2016: 5202-5209 - [c21]Michail Maniadakis
Time-Informed, Adaptive Multi-robot Synchronization. SAB 2016: 232-243 - 2015
- [c20]Michail Maniadakis
Artificial agents perceiving and processing time. IJCNN 2015: 1-8 - 2014
- [j14]Michail Maniadakis
Time models and cognitive processes: a review. Frontiers Neurorobotics 8: 7 (2014) - [j13]Michail Maniadakis
Toward embodied artificial cognition: TIME is on my side. Frontiers Neurorobotics 8: 25 (2014) - [c19]Michail Maniadakis
Time in Consciousness, Memory and Human-Robot Interaction. SAB 2014: 11-20 - 2013
- [c18]Michail Maniadakis
Self-organized Neural Representation of Time. ICONIP (1) 2013: 74-81 - 2012
- [j12]Michail Maniadakis
Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms. Neural Networks 33: 76-87 (2012) - 2011
- [j11]Michail Maniadakis
Temporal Cognition: A Key Ingredient of Intelligent Systems. Frontiers Neurorobotics 5: 2 (2011) - [c17]Michail Maniadakis, Marc Wittmann, Panos E. Trahanias:
Time Experiencing by Robotic Agents. ESANN 2011 - [c16]Michail Maniadakis
Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks. ICDL-EPIROB 2011: 1-6 - [i1]Michail Maniadakis, Panos E. Trahanias:
Executive Control in Artificial Agents. ERCIM News 2011(84): 32-33 (2011) - 2010
- [c15]Michail Maniadakis
Self-organized executive control functions. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j10]Michail Maniadakis
Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition. Adapt. Behav. 17(1): 58-80 (2009) - [j9]Michail Maniadakis
Agent-Based Brain Modeling by Means of Hierarchical Cooperative Coevolution. Artif. Life 15(3): 293-336 (2009) - [j8]Michail Maniadakis
Hierarchical Cooperative COEvolution: Presentation and Assessment Study. Int. J. Artif. Intell. Tools 18(1): 99-120 (2009) - [j7]Michail Maniadakis
Explorations on artificial time perception. Neural Networks 22(5-6): 509-517 (2009) - [c14]Michail Maniadakis
Time perception in shaping cognitive neurodynamics of artificial agents. IJCNN 2009: 1993-2000 - 2008
- [j6]Michail Maniadakis
Hierarchical Co-evolution of Cooperating Agents Acting in the Brain-Arena. Adapt. Behav. 16(4): 221-245 (2008) - [c13]Michail Maniadakis
Dynamical Systems Account for Meta-level Cognition. SAB 2008: 311-320 - 2007
- [j5]Michail Maniadakis
Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative Coevolution. Int. J. Artif. Intell. Tools 16(6): 935-966 (2007) - [c12]Emmanouil Hourdakis, Michail Maniadakis
A biologically inspired approach for the control of the hand. IEEE Congress on Evolutionary Computation 2007: 1503-1510 - [c11]Michail Maniadakis
Assessing Hierarchical Cooperative CoEvolution. ICTAI (1) 2007: 391-398 - [c10]Michail Maniadakis
Modeling Overlapping Execution/Observation Brain Pathways. IJCNN 2007: 1255-1260 - 2006
- [j4]Michail Maniadakis
Modelling brain emergent behaviours through coevolution of neural agents. Neural Networks 19(5): 705-720 (2006) - [c9]Patrizia Fattori, Rossella Breveglieri, Nicoletta Marzocchi, Michail Maniadakis, Claudio Galletti:
Brain Area V6A: A Cognitive Model for an Embodied Artificial Intelligence. 50 Years of Artificial Intelligence 2006: 206-220 - [c8]Michail Maniadakis
Hierarchical Cooperative CoEvolution Facilitates the Redesign of Agent-Based Systems. SAB 2006: 582-593 - [c7]Michail Maniadakis
Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative CoEvolution. SETN 2006: 224-234 - 2005
- [c6]Michail Maniadakis, Panos E. Trahanias:
Distributed brain modelling by means of hierarchical collaborative coevolution. Congress on Evolutionary Computation 2005: 2699-2706 - [c5]Michail Maniadakis
CoEvolutionary Incremental Modelling of Robotic Cognitive Mechanisms. ECAL 2005: 200-209 - 2004
- [j3]George A. Rovithakis, Michail Maniadakis
A hybrid neural network/genetic algorithm approach to optimizing feature extraction for signal classification. IEEE Trans. Syst. Man Cybern. Part B 34(1): 695-703 (2004) - [c4]Michail Maniadakis
Evolution Tunes Coevolution: Modelling Robot Cognition Mechanisms. GECCO (1) 2004: 640-641 - 2003
- [c3]Michail Maniadakis
A Computational Model of Neocortical-Hippocampal Cooperation and Its Application to Self-Localization. ECAL 2003: 183-190 - 2001
- [j2]Hartmut Surmann, Michail Maniadakis
Learning feed-forward and recurrent fuzzy systems: A genetic approach. J. Syst. Archit. 47(7): 649-662 (2001) - [j1]George A. Rovithakis, Michail Maniadakis
Artificial neural networks for discriminating pathologic from normal peripheral vascular tissue. IEEE Trans. Biomed. Eng. 48(10): 1088-1097 (2001) - 2000
- [c2]George A. Rovithakis, Michail Maniadakis, Michalis E. Zervakis:
A Genetically Optimized Artificial Neural Network Structure for Feature Extraction and Classification of Vascular Tissue Fluorescence Spectrums. CAMP 2000: 107-111 - [c1]George A. Rovithakis, Michail Maniadakis
Artificial neural networks for feature extraction and classification of vascular tissue fluorescence spectrums. ICASSP 2000: 3454-3457
Coauthor Index
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