A Genetically Optimized Artificial Neural Network Structure for Feature Extraction and Classification of Vascular Tissue Fluorescence Spectrums. - George A. Rovithakis; Michail Maniadakis; Michalis E. Zervakis (CAMP, 2000)

Artificial neural networks for feature extraction and classification of vascular tissue fluorescence spectrums. - George A. Rovithakis; Michail Maniadakis; Michalis E. Zervakis (ICASSP, 2000)

Learning feed-forward and recurrent fuzzy systems: A genetic approach. - Hartmut Surmann; Michail Maniadakis (J. Syst. Archit., 2001)

Artificial neural networks for discriminating pathologic from normal peripheral vascular tissue. - George A. Rovithakis; Michail Maniadakis; Michael E. Zervakis; George Filippidis; Giannis Zacharakis; Asterios N. Katsamouris; Theodore G. Papazoglou (IEEE Trans. Biomed. Eng., 2001)

A Computational Model of Neocortical-Hippocampal Cooperation and Its Application to Self-Localization. - Michail Maniadakis; Panos E. Trahanias (ECAL, 2003)

Evolution Tunes Coevolution: Modelling Robot Cognition Mechanisms. - Michail Maniadakis; Panos E. Trahanias (GECCO (1), 2004)

A hybrid neural network/genetic algorithm approach to optimizing feature extraction for signal classification. - George A. Rovithakis; Michail Maniadakis; Michalis E. Zervakis (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Distributed brain modelling by means of hierarchical collaborative coevolution. - Michail Maniadakis; Panos E. Trahanias (Congress on Evolutionary Computation, 2005)

CoEvolutionary Incremental Modelling of Robotic Cognitive Mechanisms. - Michail Maniadakis; Panos E. Trahanias (ECAL, 2005)

A hierarchical coevolutionary method to support brain-lesion modelling. - Michail Maniadakis; Panos E. Trahanias (IJCNN, 2005)

Brain Area V6A: A Cognitive Model for an Embodied Artificial Intelligence. - Patrizia Fattori; Rossella Breveglieri; Nicoletta Marzocchi; Michail Maniadakis; Claudio Galletti (50 Years of Artificial Intelligence, 2006)

Hierarchical Cooperative CoEvolution Facilitates the Redesign of Agent-Based Systems. - Michail Maniadakis; Panos E. Trahanias (SAB, 2006)

Modelling brain emergent behaviours through coevolution of neural agents. - Michail Maniadakis; Panos E. Trahanias (Neural Networks, 2006)

A biologically inspired approach for the control of the hand. - Emmanouil Hourdakis; Michail Maniadakis; Panos E. Trahanias (IEEE Congress on Evolutionary Computation, 2007)

Assessing Hierarchical Cooperative CoEvolution. - Michail Maniadakis; Panos E. Trahanias (ICTAI (1), 2007)

Modeling Overlapping Execution/Observation Brain Pathways. - Michail Maniadakis; Manolis Hourdakis; Panos E. Trahanias (IJCNN, 2007)

Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative Coevolution. - Michail Maniadakis; Panos E. Trahanias (Int. J. Artif. Intell. Tools, 2007)

Dynamical Systems Account for Meta-level Cognition. - Michail Maniadakis; Jun Tani (SAB, 2008)

Hierarchical Co-evolution of Cooperating Agents Acting in the Brain-Arena. - Michail Maniadakis; Panos E. Trahanias (Adapt. Behav., 2008)

Time perception in shaping cognitive neurodynamics of artificial agents. - Michail Maniadakis; Jun Tani; Panos E. Trahanias (IJCNN, 2009)

Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition. - Michail Maniadakis; Jun Tani (Adapt. Behav., 2009)

Agent-Based Brain Modeling by Means of Hierarchical Cooperative Coevolution. - Michail Maniadakis; Panos E. Trahanias (Artif. Life, 2009)

Hierarchical Cooperative COEvolution: Presentation and Assessment Study. - Michail Maniadakis; Panos E. Trahanias (Int. J. Artif. Intell. Tools, 2009)

Explorations on artificial time perception. - Michail Maniadakis; Panos E. Trahanias; Jun Tani (Neural Networks, 2009)

Self-organized executive control functions. - Michail Maniadakis; Panos E. Trahanias; Jun Tani (IJCNN, 2010)

Time Experiencing by Robotic Agents. - Michail Maniadakis; Marc Wittmann; Panos E. Trahanias (ESANN, 2011)

Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks. - Michail Maniadakis; Jun Tani; Panos E. Trahanias (ICDL-EPIROB, 2011)

Executive Control in Artificial Agents. - Michail Maniadakis; Panos E. Trahanias (ERCIM News, 2011)

Temporal Cognition: A Key Ingredient of Intelligent Systems. - Michail Maniadakis; Panos E. Trahanias (Frontiers Neurorobotics, 2011)

Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms. - Michail Maniadakis; Panos E. Trahanias; Jun Tani (Neural Networks, 2012)

Self-organized Neural Representation of Time. - Michail Maniadakis; Panos E. Trahanias (ICONIP (1), 2013)

Time in Consciousness, Memory and Human-Robot Interaction. - Michail Maniadakis; Panos E. Trahanias (SAB, 2014)

Time models and cognitive processes: a review. - Michail Maniadakis; Panos E. Trahanias (Frontiers Neurorobotics, 2014)

Toward embodied artificial cognition: TIME is on my side. - Michail Maniadakis; Marc Wittmann; Sylvie Droit-Volet; Yoonsuck Choe (Frontiers Neurorobotics, 2014)

Artificial agents perceiving and processing time. - Michail Maniadakis; Panos E. Trahanias (IJCNN, 2015)

Collaboration of heterogeneous agents in time constrained tasks. - Michail Maniadakis; Eren Erdal Aksoy; Tamim Asfour; Panos E. Trahanias (Humanoids, 2016)

A reservoir computing model of episodic memory. - David Bhowmik; Kyriacos Nikiforou; Murray Shanahan; Michail Maniadakis; Panos E. Trahanias (IJCNN, 2016)

Time-Informed, Adaptive Multi-robot Synchronization. - Michail Maniadakis; Panos E. Trahanias (SAB, 2016)

Emotionally Modulated Time Perception for Prioritized Robot Assistance. - Michail Maniadakis; Sylvie Droit-Volet; Panos E. Trahanias (HRI (Companion), 2017)

Time-Aware Long-term Episodic Memory for Recurring HRI. - Markos Sigalas; Michail Maniadakis; Panos E. Trahanias (HRI (Companion), 2017)

Episodic memory formulation and its application in long-term HRI. - Markos Sigalas; Michail Maniadakis; Panos E. Trahanias (RO-MAN, 2017)

Time-informed task planning in multi-agent collaboration. - Michail Maniadakis; Emmanouil Hourdakis; Panos E. Trahanias (Cogn. Syst. Res., 2017)

Time-informed Human-Robot Interaction: Combining Time, Emotions, Skills and Task Ordering. - Parmenion Mokios; Michail Maniadakis (ERCIM News, 2018)

Online Performance Prediction and Profiling of Human Activities by Observation. - Emmanouil Hourdakis; Michail Maniadakis; Panos E. Trahanias (IROS, 2019)

Robotic Pick-and-Toss Facilitates Urban Waste Sorting *. - Fredy Raptopoulos; Maria Koskinopoulou; Michail Maniadakis (CASE, 2020)

On the Use of Vacuum Technology for Applied Robotic Systems. - Emmanouil Papadakis 002; Fredy Raptopoulos; Maria Koskinopoulou; Michail Maniadakis (ICMRE, 2020)

Time-Aware Multi-Agent Symbiosis. - Michail Maniadakis; Emmanouil Hourdakis; Markos Sigalas; Stylianos Piperakis; Maria Koskinopoulou; Panos E. Trahanias (Frontiers Robotics AI, 2020)

Speed Adaptation in Learning from Demonstration through Latent Space Formulation. - Maria Koskinopoulou; Michail Maniadakis; Panos E. Trahanias (Robotica, 2020)

Detection of physical strain and fatigue in industrial environments using visual and non-visual sensors. - Konstantinos E. Papoutsakis; Thodoris Papadopoulos; Michail Maniadakis; Manolis I. A. Lourakis; Maria Pateraki; Iraklis Varlamis (PETRA, 2021)

Robotic Waste Sorting Technology: Toward a Vision-Based Categorization System for the Industrial Robotic Separation of Recyclable Waste. - Maria Koskinopoulou; Fredy Raptopoulos; George Papadopoulos; Nikitas Mavrakis; Michail Maniadakis (IEEE Robotics Autom. Mag., 2021)

Intelligent robotic system for urban waste recycling. - Konstantia Moirogiorgou; Freiderikos Raptopoulos; George Livanos; Stavros Orfanoudakis; Maria Papadogiorgaki; Michalis E. Zervakis; Michail Maniadakis (IST, 2022)

Hyperspectral Classification of Recyclable Plastics in Industrial Setups. - Georgios Alexakis; Michail Maniadakis (AIAI (1), 2023)

Synthetic data generation based on grid deformation for waste recycling applications. - Nick Tsagarakis; Alexandros Antonaras; Michail Maniadakis (IST, 2023)

Portable, Robotic Material Recovery in a Box. - Michail Maniadakis; Antonios Liapis; Jef Peeters; Vasilis Makridis; Laurent Paszkiewicz; Fredy Raptopoulos; Javier Grau Forner; Myrto Pelopida; Friederike Kleijn; Nikos Vythoulkas (ERF (2), 2024)

Decentralised Material Recovery for a Sustainable Future. - Eleni Troulaki; Michail Maniadakis (ERCIM News, 2024)

Cost-Effective Robotic Recycling Workers: From Lab Experiments to Real-World Deployment. - Nikolaos Kounalakis; Georgios Alexakis; Fredy Raptopoulos; Michail Maniadakis (ICAART (1), 2025)