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Πανεπιστήμιο Ιωαννίνων

Τσούλος Ιωάννης

  1. Αρχική
  2. Τσούλος Ιωάννης

 

Σχετικά με εμένα

Θέση:

    Καθηγητής στο Τμήμα Πληροφορικής και Τηλεπικοινωνιών, της Σχολής Πληροφορικής και Τηλεπικοινωνιών του Πανεπιστημίου Ιωαννίνων.

Προηγούμενες θέσεις:

  1. Αναπληρωτής Καθηγητής στο Τμήμα Πληροφορικής και Τηλεπικοινωνιών, της Σχολής Πληροφορικής και Τηλεπικοινωνιών του Πανεπιστημίου Ιωαννίνων.
  2. Επίκουρος καθηγητής στο Τμήμα Μηχανικών Πληροφορικής ΤΕ του ΤΕΙ Ηπείρου.

Ερευνητικό Έργο:

  • Λίστα δημοσιεύσεων στο Google Scholar: https://scholar.google.gr/citations?user=jot0KgkAAAAJ&hl=el&oi=ao
  • Επιστημονικές εργασίες σε διεθνή περιοδικά με το σύστημα των κριτών.

      1. I. G. Tsoulos, I.E. Lagaris and A. Likas, Neural Splines: exploiting Parallelism for Function Approximation Using Modular Neural Networks, Neural Parallel and Scientific Computations 13, pp. 161 - 178, 2005.

      2. I. G. Tsoulos, I. E. Lagaris, Solving differential equations with genetic Programming, Genetic Programming and Evolvable Machines 7, pp. 33 -54, 2006.

      3. I. G. Tsoulos and I. E. Lagaris, Genetically Controlled Random Search: A global optimization method for continuous multidimensional functions, Computer Physics Communications 174, pp. 152-159, 2006.

      4. I. G. Tsoulos and I. E. Lagaris, GenAnneal: Genetically modified Simulated Annealing, Computer Physics Communications 174, pp. 846-851, 2006.

      5. I. G. Tsoulos and I. E. Lagaris, MinFinder: Locating all the local minima of a function, Computer Physics Communications 174, pp. 166-179, 2006.

      6. I. G. Tsoulos, D. Gavrilis and E. Dermatas, GDF: A tool for function estimation through grammatical evolution, Computer Physics Communications 174, pp. 555-559, 2006.

      7. George Georgoulas, Dimitris Gavrilis, Ioannis G. Tsoulos, Chrysostomos Stylios, João Bernardes and Peter P. Groumpos, “Novel approach for fetal heart rate classification introducing grammatical evolution”, Biomedical Signal Processing and Control 2, pp. 69-79, 2007.

      8. I. G. Tsoulos, D. Gavrilis , E. Dermatas , GDF v2.0, an enhanced version of GDF, Computer Physics Communications 177, pp. 976-977, 2007.

      9. I. E. Lagaris and I. G. Tsoulos, “ Stopping Rules for Box-Constrained Stochastic Global Optimization”, Applied Mathematics and Computation 197, pp. 622-632, 2008.

      10. I.G. Tsoulos and I.E.Lagaris, “ GenMin: An enhanced genetic algorithm for global optimization”, Computer Physics Communications 178, pp. 843-851, 2008.

      11. I.G. Tsoulos, D. Gavrilis, E. Glavas, “Neural Network Construction and Training using Grammatical Evolution”, Neurocomputing 72, pp. 269-277, 2008.

      12. D. Gavrilis, I.G. Tsoulos, E. Dermatas, “Features Selection and Construction using Grammatical Evolution”, Pattern Recognition Letters 29, pp. 1358-1365, 2008.

      13. G.S. Paschos, I.G. Tsoulos, E.D. Vagenas, S.A. Kotsopoulos, G.K. Karagiannidis, Deterministic Simulation Model for Sojourn Time in Urban Cells with square street geometry, International Journal of Vehicular Technology 2008, Article Id 721386, 2008.

      14. I. G. Tsoulos, I.E. Lagaris, MinFinder v2.0: An improved version of MinFinder, Computer Physics Communications 179, pp. 614-615, 2008.

      15. I. G. Tsoulos, Modifications of real code genetic algorithms for global optimization, Applied Mathematics and Computation 203, pp. 598-607, 2008.

      16. V.A. Tatsis, I.G. Tsoulos, A. Stavrakoudis, Molecular dynamics simulations of the TSSPSAD peptide antigen in free and bound with CAMPATH-1H Fab antibody states: the importance of the β-turn conformation. International Journal of Peptide Research and Therapeutics 15, pp. 1-9, 2009.

      17. I.G. Tsoulos, Solving constrained optimization problems using a novel genetic algorithm, Applied Mathematics and Computation 208, pp. 273-283, 2009.

      18. I.G. Tsoulos, D. Gavrilis, E. Glavas, Solving differential equations with constructed neural networks, Neuromputing 72, pp. 2385-2391, 2009.

      19. Athanassios Stavrakoudis, Ioannis G. Tsoulos, Zakhar O. Shenkarev, Tatiana V. Ovchinnikova, Molecular dynamics simulation of antimicrobial peptide arenicin-2: β-hairpin stabilization by non-covalent interactions, Biopolymers: peptide science 92, pp. 143-155, 2009.

      20. V.A. Tatsis, I.G. Tsoulos, C.S. Krinas, C. Alexopoulos, A. Stavrakoudis, Insights into the structure of the PmrD protein with molecular dynamics simulations, International Journal of Biological Macromolecules 44, pp. 393-399, 2009.

      21. G. V. Papamokos , I. G. Tsoulos , I.N. Demetropoulos , E. Glavas, Location of Amide I mode of vibration in computed data utilizing constructed neural networks, Expert Systems with Applications 36, pp. 12210-12213, 2009.

      22. I.G. Tsoulos, A. Stavrakoudis, On locating all roots of systems of nonlinear equations inside bounded domain using global optimization methods, Nonlinear Analysis: Real World Applications 11 pp. 2465-2471, 2010.

      23. I.G. Tsoulos, A. Stavrakoudis, Improving the speed and efficiency of PSO methods for global optimization, Applied Mathematics and Computation 216, pp. 2988-3001, 2010.

      24. A. Stavrakoudis, I.G. Tsoulos, K. Uray, F. Hudecz, V. Apostolopoulos, Homology modeling and molecular dynamics simulations of MUC1-9/H-2Kb complex suggest novel binding interactions, Journal of Molecular Modeling 17 , pp. 1817-1829, 2011.

      25. I.G. Tsoulos, A. Stavrakoudis Eucb: A C++ program for molecular dynamics trajectory analysis, Computer Physics Communications 182, pp. 834-841, 2011.

      26. A. Stavrakoudis, I.G. Tsoulos, Configurational entropy reallocation and complex loop dynamics of the mosquito-stage Pvs25 protein complexed with the
        Fab fragment of the malaria transmission blocking antibody 2A8. 5 protein complexed with Fab fragment of malaria J. Chem. Theory. Comput. 7, pp 515-524, 2011.

      27. O. Smart, I.G. Tsoulos, D. Gavrilis, G. Georgoulas, Grammatical Evolution for Features of Epileptic Slow Ripples, Expert Systems with Applications 38, pp. 9991-9999, 2011.

      28. I S Kardaras, V N Stavrou, I G Tsoulos and T S Kosmas, Exact wave functions of bound μ− for calculating ordinary muon capture rates, Journal of Physics: Conference Series Volume 410 conference 1.

      29. Fardin Ahmadizar, Khabat Soltanian, Fardin AkhlaghianTab, Ioannis Tsoulos, Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm, Engineering Applications of Artificial Intelligence 39, pp. 1-13, 2015.

      30. I.G. Tsoulos, A. Tzallas, Dimitris Tsalikakis, PDoublePop: An implementation of parallel genetic algorithm for function optimization, Computer Physics Communications 209, pp. 183-189, 2016.

      31. Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Zoe E. Tsianou, Pinelopi Manousou, Ioannis Tsoulos, Epameinondas Tsianos, A Methodology for Automated CPA Extraction using Liver Biopsy Image Analysis and Machine Learning Techniques, Computer Methods and Programs in Biomedicine 140, pp. 61-68, 2017.

      32. Georgia Mitsi, Enrique Urrea, Benjamin Wissel, Elena Barbopoulou, Alok Kumar Dwivedi, Ioannis Tsoulos, Athanassios Stavrakoudis, Alberto J Espay, MD Papapetropoulos, Biometric Digital Health Technology for Measuring Motor Function in Parkinson’s disease: Results from a feasibility and patient satisfaction study, Frontiers in Neurology 8, pp. 27, 2017.

      33. Ioannis G. Tsoulos, Alexandros Tzallas, Dimitris Tsalikakis, Evolutionary Based Weight Decaying Method for Neural Network Training, Neural Processing Letters 47, pp. 463-473, 2018.

      34. Ioannis G. Tsoulos, OnePC: A portable software for parallel genetic algorithms used in optimization problems, International Journal of Advanced Research in Computer Science and Electronics Engineering 6, pp. 78-84, 2017.

      35. P. Petrikis, P.V. Voulgari, A.T. Tzallas, V.A. Boumba, D.A. Archimandriti, D. Zambetas, I. Papadopoulos, I.G. Tsoulos, P. Skapinakis, V. Mavreas, Changes in the cytokine profile in first-episode, drug-naïve patients with psychosis after short-term antipsychotic treatment, Psychiatry Research 256, pp. 378-383, 2017.

      36. Ioannis G. Tsoulos, Creating classification rules using Grammatical Evolution, International Journal of Computational Intelligence Studies 9, pp. 161-171, 2020.

      37. Katerina D. Tzimourta, Ioannis Tsoulos, Thanasis Bilero, Alexandros T. Tzallas, Markos G. Tsipouras and Nikolaos Giannakeas, Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution, Inventions 3, p. 51, 2018.

      38. Ioannis G. Tsoulos, O.T. Kosmas V.N. Stavrou, DiracSolver: a tool for solving the Dirac Equation, Computer Physics Communications 236, pp. 237-243, 2019

      39. Ioannis G. Tsoulos, Alexandros Tzallas, Markos Tsipouras, Vasileios Christou, Stopping rules for a parallel genetic algorithm, International Journal of Computational Intelligence Studies 9, 146-160, 2020.

      40. Ioannis Tsoulos, Georgia Mitsi, Athanassios Stavrakoudis and Spyros Papapetropoulos, Application of Machine Learning in a Parkinson’s Disease Digital Biomarker Dataset Using Neural Network Construction (NNC) Methodology Discriminates Patient Motor Status, accepted for publication in Frontiers in ICT | Digital Health, 2019.

      41. Ioannis G. Tsoulos, Alexandros Tzallas, Dimitrios Tsalikakis, Genetic Feature Construction Genetic Feature Construction: a parallel implementation of a genetic programming tool for feature construction, European Journal of Engineering research and science 4, 2019.

      42. Ioannis G. Tsoulos, Alexandros Tzallas, Dimitrios Tsalikakis, NNC: A tool based on Grammatical Evolution for data classification and differential equation solving, SoftwareX 10, 2019.

      43. Ioannis G. Tsoulos, Vasileios Stavrou, Nikolaos E. Mastorakis,
        Dimitrios Tsalikakis, GenConstraint: A programming tool for constraint optimization problems, SoftwareX 10, 2019.

      44. Ioannis G. Tsoulos, Alexandros Tzallas, Evaggelos Karvounis, Improving the PSO method for global optimization problems, Evolving Systems 12, pp. 875-883, 2021.

      45. V.N. Stavrou, I.G. Tsoulos, O.T. Kosmas, Spin-flip relaxation mechanism in Self-Assembled Quantum Dots via phonon emission, Molecular Crystals and Liquid Crystals 701, pp. 40-47, 2020.

      46. Ioannis G. Tsoulos, Evangelos Karvounis, Alexandros Tzallas, A novel sampling technique for multistart based methods, SN Computer Science 2, 7, 2021.

      47. Nikolaos Anastasopoulos, Ioannis G. Tsoulos, Evangelos Karvounis, Alexandros Tzallas, Locate the bounding box of neural networks with intervals, Neural Processing Letters 52, pp. 2241-2251, 2021.

      48. V.N. Stavrou, I.G. Tsoulos, Nikos E. Mastorakis, Transformations for FIR and IIR Filters’ Design, Symmetry 13, pp. 533, 2021.

      49. Violaris, I.G.; Kalafatakis, K.; Zavala, E.; Tsoulos, I.G.; Lampros, T.; Lightman, S.L.; Tsipouras, M.G.; Giannakeas, N.; Tzallas, A.; Russell, G.M. Modelling Hydrocortisone Pharmacokinetics on a Subcutaneous Pulsatile Infusion Replacement Strategy in Patients with Adrenocortical Insufficiency. Pharmaceutics 2021, 13, 769.

      50. Vasileios Charilogis, I.G. Tsoulos, MinCentre: using clustering in global optimisation, International Journal of Computational Intelligence Studies 11, pp. 24-35, 2022.

      51. VN Stavrou, IG Tsoulos, Coupled quantum dots: spin based qubits, Molecular Crystals and Liquid Crystals 721, pp. 45-50, 2021.

      52. Alexandros Arjmand, Vasileios Christou , Ioannis G. Tsoulos , Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas, An Evolutionary Algorithm-based Optimization Method for the Classification and Quantification of Steatosis Prevalence in Liver Biopsy Images, Array 11, 2021.

      53. Ioannis G. Tsoulos, Nikolaos Anastasopoulos, Georgios Ntritsos, Alexandros Tzallas, Train RBF networks with a hybrid genetic algorithm, Evolutionary Intelligence, 2021.

      54. Ioannis G. Tsoulos, Alexandros Tzallas, An improved multistart based method for global optimization problems, International Journal of Computational Intelligence Studies 11, pp. 73-93, 2022.

      55. Nikolaos Anastasopoulos, Ioannis G. Tsoulos, Alexandros Tzallas, GenClass: A parallel tool for data classification based on Grammatical Evolution, SoftwareX 16, 2021.

      56. Vasileios Charilogis, I.G. Tsoulos, Alexandros Tzallas, Nikolaos Anastasopoulos, An improved Controlled Random Search method, Symmetry 11, pp. 1981, 2021.

      57. V. Christou, A. Arjmand, D. Dimopoulos, D. Varvarousis, I. Tsoulos, A.T. Tzallas, C. Gogos, M.G. Tsipouras, E. Glavas, A. Ploumis, Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. Information 13, 2022.

      58. Vasileios Charilogis , Ioannis G. Tsoulos , Alexandros Tzallas, Evangelos Karvounis, Modifications for the Differential Evolution Algorithm, Symmetry 14, 2022.

      59. T. S. Kosmas, I. Tsoulos, O. Kosmas, P. G. Giannaka, Evolution of Hot and Dense Stellar Interiors: The Role of the Weak Interaction Processes, Front. Astron. Space Sci. 8:763276, 2022.

      60. Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis, A Two-Phase Evolutionary Method to Train RBF Networks, Applied Sciences 12, 2022

      61. Ioannis G. Tsoulos, Constructing Features Using a Hybrid Genetic Algorithm, Signals 2, pp. 174-188, 2022.

      62. Evangelos D. Spyrou, Ioannis G. Tsoulos, Chrysostomos Stylios, Applying and Comparing LSTM and ARIMA to Predict CO Levels for a Time-Series Measurements in a Port Area, Signals 3, pp. 235-248, 2022.

      63. Vasileios Charilogis, Ioannis G. Tsoulos, Towards an Ideal Particle Swarm Optimizer for Multidimensional Functions, Information 13, 2022.

      64. Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis, RbfDeSolver: a software tool to approximate differential equations using Radial Basis Functions, Axioms 11, pp. 294, 2022.

      65. Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis, A rule based method to locate the bounds of neural networks, Knoweledge 2, pp. 412-428, 2022.

      66. Ioannis G. Tsoulos, Nikolaos Anastasopoulos, Evangelos Dermatas, Evaggelos Karvounis, Language inference using Elman networks with evolutionary training, Signals 3, pp. 611-619, 2022.

      67. Ioannis G. Tsoulos, QFC: a parallel software tool for feature construction, based on Grammatical Evolution, Algorithms 15, 2022.

      68. Ioannis G. Tsoulos, Learning functions and classes using rules, AI 3, pp. 751-763, 2022.

      69. Vasileios Christou, Ioannis Tsoulos, Alexandros Arjmand, Dimitrios  Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Christos Gogos,  Markos Tsipouras, Evripidis Glavas, Avraam Ploumis, Nikolaos Giannakeas, Grammatical Evolution-based Feature Extraction for Hemiplegia Type  Detection, Signals 3, pp. 737-751, 2022.

      70. Ioannis Tsoulos , Alexandros T. Tzallas, Dimitrios Tsalikakis, Prediction of Covid-19 cases using constructed features by Grammatical
        Evolution, Symmetry 14, 2149, 2022.

      71. V. Christou, A. Miltiadous, I.G. Tsoulos, E.  Karvounis, K.D. Tzimourta, M.G. Tsipouras, N.  Anastasopoulos, A.T. Tzallas, N. Giannakeas, Evaluating the Window Size Role in Automatic EEG Epilepsy Detection, Sensors 22, 9233, 2022.

      72. I.G. Tsoulos, A. Tzallas, D. Tsalikakis, Use RBF as a Sampling Method  in Multistart Global Optimization Method, Signals 3, pp. 857-874, 2022.

      73. I.G. Tsoulos, C. Stylios, V. Charalampous, Covid-19 predictive models based on grammatical evolution, SN Computer Science 4, 191, 2023.

      74. V. Charilogis, I.G. Tsoulos, A parallel implementation of the Differential Evolution method, Analytics 2, pp. 17-30, 2023.

      75. I.G. Tsoulos, V. Charilogis, Locate the parameters of RBF networks using a hybrid Particle Swarm, Algorithms 16, 71, 2023.

      76. I.G. Tsoulos, A.T. Tzallas, E. Karvounis, D.Tsalikakis, NeuralMinimizer, a novel method for global optimization, Information 14, 66, 2023.

      77. E.I. Toki, G. Tatsis, V.A. Tatsis, K. Plachouras, J. Pange, I.G. Tsoulos, Applying Neural Networks on Biometric Datasets for Screening Speech and Language Deficiencies in Child Communication. Mathematics 11, 1643, 2023.

      78. V. Christou, I.G. Tsoulos, V. Loupas, A.T. Tzallas, C. Gogos, P.S. Karvelis, N. Antoniadis, E. Glavas, N. Giannakeas, Performance and early drop prediction for higher education students using machine learning, Expert Systems with Applications 225, 120079, 2023.

      79. I.G. Tsoulos, A.T. Tzallas, E. Karvounis, D. Tsalikakis, Bound the parameters of neural networks using Particle Swarm Optimization, Computers 12, 82, 2023.

      80. Eugenia I. Toki, Giorgos Tatsis, Vasileios A. Tatsis, Konstantinos
        Plachouras, Jenny Pange, I.G. Tsoulos, Employing Classification Techniques on SmartSpeech Biometric Data
        Towards Identification of Neurodevelopmental Disorders, Signals 4, pp. 401-420, 2023.

      81. Evangelos D. Spyrou, Chrysostomos Stylios, I.G. Tsoulos, Classification of CO Environmental Parameter for Air Pollution Monitoring with Grammatical Evolution, Algorithms 16, 300, 2023.

      82. D. Mpouziotas, P. Karvelis, I.G. Tsoulos, C. Stylios, Automated Wildlife Bird Detection from Drone Footage Using Computer Vision Techniques, Applied Sciences 13, 7787, 2023.

      83. I.G.Tsoulos, A.T. Tzallas, A feature construction method that combines Particle Swarm Optimization and Grammatical Evolution, Applied Sciences 13, 8124, 2023.

      84. I.G. Tsoulos, A.T. Tzallas, Training Artificial Neural Networks Using a Global Optimization Method That Utilizes Neural Networks, AI 4, pp. 491-508, 2023.

      85. V. Charilogis, I.G. Tsoulos, A. Tzallas, An Improved Parallel Particle Swarm Optimization. SN COMPUT. SCI. 4, 766, 2023.

      86. I.G. Tsoulos, Alexandros Tzallas, Dimitrios Tsalikakis, Solving differential equations with global optimization techniques, accepted for publication in Int. J. of Computational Intelligence Studies.

      87. V. Charilogis, I.G. Tsoulos, V. Stavrou, An intelligent technique for initial distribution of genetic algorithms, Axioms 12, 980, 2023.

      88. I.G. Tsoulos, A. Tzallas, E. Karvounis, Constructing the bounds for neural network training using Grammatical Evolution, Computers 12, 226, 2023.

      89. E. Spyrou, I.G. Tsoulos, C. Stylios, DDoS classification to SDN using Grammatical Evolution, Future Internet 15, 401, 2023.

      90. I.G. Tsoulos, A. Tzallas, E. Karvounis, Adapt the parameters of RBF networks using Grammatical Evolution, AI 4, pp. 1059-1078, 2023.

      91. I.G. Tsoulos, editorial for Special Issue “Algorithms in Data Classification”, Algorithms 17, 5, 2024.

      92. Eugenia Toki, Giorgos Tatsis, Jenny Pange, I.G. Tsoulos, Constructing Features for Screening Neurodevelopmental Disorders using Grammatical Evolution, Applied Sciences 14, 305, 2024.

      93. Eugenia Toki, Ioannis G. Tsoulos, V. Santamato, J. Pange, Machine Learning for Predicting Neurodevelopmental Disorders in Children, Apllied Sciences 14, 837, 2024.

      94. Ioannis G. Tsoulos, V.N. Stavrou, Numerical algorithms in semiconductor heterostructures, Algorithms 17, 44, 2024.

      95. Dimitris Mpouziotas, Jeries Besharat, Ioannis G. Tsoulos, Chrysostomos Stylios, AliAmvra - Enhancing customer experience through the application of machine learning techniques for survey data assessment and analysis, Information 15, 83, 2024.

      96. Eugenia I. Toki, Jenny Pange, Giorgos Tatsis, Konstantinos
        Plachouras, Ioannis G. Tsoulos, Utilizing Constructed Neural Networks for autism screening, Applied Sciences 14, 3053, 2024.

      97. Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis, Applying bounding techniques on Grammatical Evolution, Computers 13, 111, 2024.

      98. Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis, Using optimization techniques in Grammatical Evolution, Future Internet 16, 172, 2024.

      99. Vasileios Charilogis, Ioannis G. Tsoulos, Introducing a parallel genetic algorithm for global optimization, AppliedMath 4, pp. 709-730, 2024 .

      100. Glykeria Kyrou, Vasileios Charilogis, Ioannis G. Tsoulos, Improving the Giant Armadillo Optimization method, Analytics 3, pp. 225-240, 2024.

      101. Glykeria Kyrou, Vasileios Charilogis, Ioannis G. Tsoulos, EOFA: An Extended Version of the Optimal Foraging Algorithm for Global Optimization Problems, Computation 12, 158, 2024.

  • Λίστα δημοσιεύσεων σε διεθνή συνέδρια

      1. V. V. Dimakopoulos, A. Kinalis, E. Pitoura, I. Tsoulos, On Deploying and Executing Data – Intensive Code on Smart Autonomous Storage (SmAS) Disks. ADBIS-DASFAA, pp. 323-330, 2000.

      2. I.G. Tsoulos, I.E. Lagaris, A. Likas. Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation, SETN 2002, pp. 314-324, 2002.

      3. D. Gavrilis, I.G. Tsoulos, E. Dermatas. Feature Selection for Robust Detection of Distributed Denial-of-Service Attacks Using Genetic Algorithms. SETN 2004, 276-281.

      4. I. G. Tsoulos, I. E. Lagaris, A. Likas. Piecewise continuous approximation of two – dimensional functions using neural networks. Hellenic Conference on Artificial Intelligence 2004 , Springer Verlang.

      5. I.G. Tsoulos, D. Gavrilis, E. Glavas, Neural Network Construction using Grammatical Evolution. 5th IEEE International Symposium on Signal Processing and Information Technology. 18-21 December 2005, ISBN: 0-7803-9313-9 , pp. 827-831 .

      6. D. Gavrilis, I. Tsoulos, E. Dermatas, Stochastic Classification of Scientific Abstracts. Accepted in Specom 2005.

      7. D. Gavrilis, I. Tsoulos, E. Dermatas, Evolutionary Grammar Induction for Protein Relation Extraction. Accepted in Specom 2005.

      8. D. Gavrilis, G. Georgoulas, I. G. Tsoulos, Classification of Fetal Heart Rate using Grammatical Evolution. IEEE 2005 Workshop on Signal Processing Systems. 2-4 Nov. 2005, ISBN: 0-7803-9333-3 , pp. 425-429.

      9. Δομική Bιοπληροφορική: αλγόριθμος αυτόματης αναγνώρισης συνεργατικών ελικοειδών δονήσεων Γ. Β. Παπαμώκος, Ι. Τσούλος, Ε. Γλαβάς, Ι. Ν. Δημητρόπουλος 20ο Πανελλήνιο Συνέδριο Χημείας, Ιωάννινα, Σεπτέμβριος 2005 (Πρακτικά σελ. 90 - προφ. Ομιλία).

      10. Dimitris Gavrilis, Ioannis G. Tsoulos, Evangelos Dermatas: Neural Recognition and Genetic Features Selection for Robust Detection of E-Mail Spam. SETN 2006: 498-501

      11. I. Tsoulos, G. Georgoulas, D. Gavrilis, C. Stylios, J. Bernades, P. Groumpos, Introducing Grammatical Evolution for FHR Analysis and classification. Accepted for publication in IEEE-IS'06.

      12. Athanassios Stavrakoudis, Ioannis Tsoulos, Zakhar O. Shenkarev, Tatiana V. Ovchinnikova Conformational properties of arenicin-2 in water: a molecular dynamics computer simulation study, 6ο Ελληνικό Forum Βιοδραστικών Πεπτιδίων.

      13. Vasileios Tatsis, Ioannis Tsoulos, Athanassios Stavrakoudis, Computational Structural Studies of a Synthetic Peptide Complexed with Campath-1 antibody, 6ο Ελληνικό Forum Βιοδραστικών Πεπτιδίων.

      14. A. Stavrakoudis, I.G. Tsoulos, F. Hudecz, K. Uray, Homology modeling and molecular dynamics simulations of the SAPDTRPAP peptide bound in the H-2Kb HLA class I molecule, 10th medicinal chemistry conference, Patras, March 2009.

      15. I.G. Tsoulos,P. Vasant, Product Mix Selection Using an Evolutionary Technique, POWER CONTROL AND OPTIMIZATION: Proceedings of the Second Global Conference on Power Control and Optimization 1159, pp. 240-247,2009.

      16. I.S. Kardaras , V.N. Stavrou , I.G. Tsoulos , T.S. Kosmas, Nuclear muon capture rates by using relativistic muon wavefunctions, 18th Symposiun of the Hellenic Nuclear Physics Society, Institute of Nuclear Physics - NSCR ''Demokritos'', 29-30 May 2009

      17. I.S. Kardaras ,V.N. Stavrou,I.G. Tsoulos, T.S. Kosmas, Detailed calculations for muon capture rates within the quasi-particle RPA, 19th Symposiun of the Hellenic Nuclear Physics Society, Institute of Nuclear Physics - NSCR ''Demokritos''

      18. D. Gavrilis, I.G. Tsoulos, S. Angelis, Building Interactive Books using EPUB and HTML5. AMBI SYS, 2013.

      19. K Soltanian, FA Tab, FA Zar, I Tsoulos, Artificial Neural Networks Generation Using Grammatical Evolution, icee2013.

      20. Ioannis G. Tsoulos, Alexandros T. Tzallas, Evripidis Glavas, A-Class: a novel classification method in PCI '14 Proceedings of the 18th Panhellenic Conference on Informatics, pp. 1-2, 2014.

      21. Papapetropoulos, S., Espay, A., Tsoulos, I., Mendoza, E., Stavrakoudis, A., & Mitsi, G. (2015, June). Objective monitoring of motor function using the tablet-based mobile application (iMotor): A feasibility study and patient satisfaction survey. In MOVEMENT DISORDERS (Vol. 30, pp. S109-S109). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY-BLACKWELL.

      22. Ioannis Tsoulos, Alexandros T Tzallas, Dimitrios G Tsalikakis, Nikolaos Giannakeas, Markos G Tsipouras, Iosif Androulidakis, Elena Zaitseva, NeuralGenesis: A software for distributed neural network training, Telecommunications Forum (TELFOR), 2016 24th, pp. 1-4, 2016.

      23. Alexandras T Tzallas, Ioannis Tsoulos, Markos G Tsipouras, Nikolaos Giannakeas, Iosif Androulidakis, Elena Zaitseva, Classification of EEG signals using feature creation produced by grammatical evolution, Telecommunications Forum (TELFOR), 2016 24th, pp. 1-4, 2016.

      24. Ioannis Tsoulos, Athanassios Stavrakoudis, Georgia Mitsi, Spiridon Papapetropoulos, Machine learning algorithms applied to digital biomarker data (iMotor) discriminate Parkinson’s motor status (P3. 042), Neurology 90, pp. 42, 2018.

      25. IS Kardaras, VN Stavrou, IG Tsoulos, TS Kosmas, Detailed calculations for muon capture rates within the quasi-particle RPA, HNPS Proceedings 18, pp. 75-180, 2019.

      26. IS Kardaras, VN Stavrou, IG Tsoulos, TS Kosmas, Nuclear muon capture rates by using relativistic muon wavefunctions, HNPS Proceedings 18, pp. 55-61, 2019.

      27. PG Giannaka, Odysseas Kosmas, I Tsoulos, TS Kosmas, Exploiting Dirac equations solution for exact integral calculations in processes of muonic atoms, Journal of Physics: Conference Series, 2021.

         

  • Συμμετοχή στην υποβολή και στην υλοποίηση ερευνητικών προγραμμάτων χρηματοδοτούμενων από την Ε.Ε.

Τίτλοι Σπουδών:

  • Πτυχίο Πληροφορικής

    Τμήμα Πληροφορικής του Πανεπιστημίου Ιωαννίνων

  • Μεταπτυχιακό Δίπλωμα (MSc) με αντικείμενο “Παράλληλα τμηματικά νευρωνικά δίκτυα”

    Τμήμα Πληροφορικής του Πανεπιστημίου Ιωαννίνων

  • Διδακτορικό Δίπλωμα (PhD) με τίτλο ¨Καθολική βελτιστοποίηση: μέθοδοι, λογισμικό και εφαρμογές¨

    Τμήμα Πληροφορικής του Πανεπιστημίου Ιωαννίνων

Μαθήματα

Για το τρέχον ακαδημαϊκό έτος τα μαθήματα που διδάσκονται είναι τα εξής:

Κατηγορία: Όνομα Μαθήματος: Εξάμηνο:
Υ Προγραμματισμός 2 2ο
Κ Προγραμματισμός κινητών συσκευών 7ο