Ioannis Athanasiadis bio photo

Ioannis Athanasiadis

Professor and Chair of Artificial Intelligence
Wageningen University & Research

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Articles in peer-reviewed journals

> Publications

    2025

  1. R. d. S. Nóia-Júnior, A. C. Ruane, I. N. Athanasiadis, F. Ewert, M. T. Harrison, J. Jägermeyr, P. Martre, C. Müller, T. Palosuo, M. Salmerón, H. Webber, D. S. Maccarthy, S. Asseng, Crop models for future food systems, One earth (Cambridge, Mass.), 8:101487, 2025, Elsevier BV Paper DOI

    2. 2026

  2. X. Xiong, R. Zhong, H. Jiang, I. Athanasiadis, Y. Yang, L. Zhu, T. Lin, Corn yield estimation under extreme climate stress with knowledge-encoded deep learning, ISPRS Journal of Photogrammetry and Remote Sensing, 231:101-118, 2026, Elsevier Paper DOI

    3. 2025

  3. M. Marković, P. Lugonja, S. Brdar, I. Athanasiadis, M. Radulović, B. Pejak, M. Mesaroš, V. Crnojević, Double cropping detection in the moderate continental climate region of Serbia using machine learning and Sentinel-2 data, European Journal of Remote Sensing, 58:2533462, 2025, Taylor & Francis Paper DOI
  4. R. Knapen, A. de Wit, E. Buyukkaya, P. Petrou, D. Paudel, S. Janssen, I. Athanasiadis, Efficient and scalable crop growth simulations using standard big data and distributed computing technologies, Computers and electronics in agriculture, 236:110392, 2025, Elsevier BV Paper DOI
  5. H. Baja, M. G. J. Kallenberg, H. N. C. Berghuijs, I. N. Athanasiadis, Adaptive fertilizer management for optimizing nitrogen use efficiency with constrained reinforcement learning, Computers and electronics in agriculture, 237:110554, 2025, Elsevier BV Paper DOI
  6. E. van Tegelen, G. van Voorn, I. N. Athanasiadis, P. van Heijster, Neural ordinary differential equations for learning and extrapolating system dynamics across bifurcations, Chaos, 352025, AIP Publishing Paper DOI
  7. M. Marković, P. Lugonja, S. Brdar, I. Athanasiadis, M. Radulović, B. Pejak, M. Mesaroš, V. Crnojević, Double cropping detection in the moderate continental climate region of Serbia using machine learning and Sentinel-2 data, European Journal of Remote Sensing, 58:2533462, 2025, Taylor & Francis Paper DOI
  8. R. d. S. Nóia-Júnior, A. C. Ruane, I. N. Athanasiadis, F. Ewert, M. T. Harrison, J. Jägermeyr, P. Martre, C. Müller, T. Palosuo, M. Salmerón, H. Webber, D. S. Maccarthy, S. Asseng, Crop models for future food systems, One earth (Cambridge, Mass.), 8:101487, 2025, Elsevier BV Paper DOI
  9. D. Marcos, R. van de Vlasakker, I. N. Athanasiadis, P. Bonnet, H. Goeau, A. Joly, W. D. Kissling, C. Leblanc, A. S. J. van Proosdij, K. P. Panousis, Fully automatic extraction of morphological traits from the Web: utopia or reality?, Applications in Plant Sciences, 5:1-12, 2025 Paper Open Access DOI
  10. L.-B. Sweet, I. N. Athanasiadis, R. van Bree, A. Castellano, P. Martre, D. Paudel, A. C. Ruane, J. Zscheischler, Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning, One Earth, 8:101233, 2025, Elsevier BV Paper Open Access DOI
  11. J. Han, L. Shi, Q. Yang, J. Yu, I. N. Athanasiadis, Knowledge-guided machine learning with multivariate sparse data for crop growth modelling, Field Crops Research, 328:109912, 2025, Elsevier BV Paper Open Access DOI Code Open Access Link
  12. I. Tsoumas, V. Sitokonstantinou, G. Giannarakis, E. Lampiri, C. Athanassiou, G. Camps-Valls, C. Kontoes, I. Athanasiadis, Leveraging causality and explainability in digital agriculture, Environmental Data Science, 4:e23, 2025, Cambridge University Press Paper Open Access DOI
  13. K. J. Bagstad, S. Balbi, G. Adamo, I. N. Athanasiadis, F. Affinito, S. Willcock, A. Magrach, K. Hayashi, Z. V. Harmáčková, A. Niamir, B. Smets, M. Buchhorn, E. G. Drakou, A. Alfieri, B. Edens, L. G. Morales, Á. Vári, M.-J. Sanz, F. Villa, Interoperability for ecosystem service assessments: Why, how, who, and for whom?, Ecosystem services, 72:101705, 2025, Elsevier BV Paper Open Access DOI
  14. M. Radulović, M. Markovic, S. Brdar, I. Athanasiadis, G. Mimić, The first geospatial dataset of irrigated fields (2020–2024) in Vojvodina (Serbia), Scientific data, 12:105, 2025 Paper Open Access DOI
  15. R. van Bree, D. Marcos, I. Athanasiadis, Hybrid phenology modeling for predicting temperature effects on tree dormancy, Proceedings of the AAAI Conference on Artificial Intelligence, 37:28458-28466, 2025 Paper Open Access DOI
  16. H. Baja, M. Kallenberg, I. N. Athanasiadis, To measure or not: A cost-sensitive, selective measuring environment for agricultural management decisions with reinforcement learning, Proceedings of the AAAI Conference on Artificial Intelligence, 39:27831-27840, 2025

    17. 2024

  17. J. P. L. F. Brêda, L. A. Melsen, I. Athanasiadis, Al. Van Dijk, V. A. Siqueira, A. Verhoef, Y. Zeng, M. van der Ploeg, Predictor importance for hydrological fluxes of global hydrological and land surface models, Water Resources Research, 60 (9):e2023WR036418, 2024 Paper Open Access DOI Code Open Access Link
  18. C. Pylianidis, M. G.J. Kallenberg, I. N. Athanasiadis, Domain adaptation with transfer learning for pasture digital twins, Environmental Data Science, 3:e8, 2024 Paper Open Access DOI Code Open Access Link

    19. 2023

  19. O. G. Younis, M. Turchetta, D. A. Suarez, S. Yates, B. Studer, I. N. Athanasiadis, A. Krause, J. M. Buhmann, L. Corinzia, ChromaX: a fast and scalable breeding program simulator, Bioinformatics, 39 (12):btad691, 2023 Paper Open Access DOI Code Open Access Link
  20. C. A. Midingoyi, C. Pradal, A. Enders, D. Fumagalli, P. Lecharpentier, H. Raynal, M. Donatelli, D. Fanchini, I. N. Athanasiadis, C. Porter, G. Hoogenboom, F.A.A. Oliveira, D. Holzworth, P. Martre, Crop modeling frameworks interoperability through bidirectional source code transformation, Environmental Modelling & Software, 168:105790, 2023 Paper DOI Code Open Access Link
  21. D. Paudel, D. Marcos, A. de Wit, H. Boogaard, I.N. Athanasiadis, A weakly supervised framework for high-resolution crop yield forecasts, Environmental Research Letters, 18:094062, 2023 Paper Open Access DOI Data Open Access DOI
  22. S.J.Wright, A. Sietsma, S. Korswagen, I. N. Athanasiadis, R. Biesbroek, How do countries frame climate change? A global comparison of adaptation and mitigation in UNFCCC National Communications, Regional Environmental Change, 23:129, 2023 Paper Open Access DOI Code Open Access Link
  23. M. Radulovic, S. Brdar, B. Pejak, P. Lugonja, I. Athanasiadis, N. Pajevic, D. Pavic, V. Crnojevic, Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data, GIScience and Remote Sensing, 60:2262010, 2023 Paper Open Access DOI
  24. H.R. Maier, S. Galelli, S. Razavi, A. Castelletti, A. Rizzoli, I. N Athanasiadis, M. Sànchez-Marrè, M. Acutis, W. Wu, G.B. Humphrey, Exploding the myths: An introduction to artificial neural networks for prediction and forecasting, Environmental Modelling & Software, 167:105776, 2023 Paper Open Access DOI
  25. E.A. Papoutsoglou, I. N. Athanasiadis, R.G.F. Visser, R. Finkers, The benefits and struggles of FAIR data: the case of reusing plant phenotyping data, Scientific data, 10:457, 2023 Paper Open Access DOI
  26. M.G. Kallenberg, H. Overweg, R. van Bree, I.N. Athanasiadis, Nitrogen management with reinforcement learning and crop growth models, Environmental Data Science, 2:e34, 2023, Cambridge University Press Paper Open Access DOI
  27. D. Paudel, A. de Wit, H. Boogaard, D. Marcos, S. Osinga, I.N. Athanasiadis, Interpretability of deep learning models for crop yield forecasting, Computers and Electronics in Agriculture, 206:107663, 2023 Paper Open Access DOI
  28. H.-H. Wang, G. van Voorn, W. E. Grant, F. Zare, C. Giupponi, P. Steinmann, B. Mueller, S. Elsawah, H. van Delden, I.N. Athanasiadis, Z. Sun, W. Jager, J.C. Little, A.J. Jakeman, Scale decisions and good practices in socio-environmental systems modelling: guidance and documentation during problem scoping and model formulation, Socio-Environmental Systems Modelling, 5:18563, 2023 Paper Open Access DOI

    29. 2022

  29. D. Schokker, M. Poppe. J. ten Napel, I.N. Athanasiadis, C. Kamphuis, R.F. Veerkamp, Rapid turnover of sensor data to genetic evaluation for dairy cows in the cloud, Journal of Diary Science, 105 (12):9792-9798, 2022 Paper Open Access DOI
  30. B. Maestrini, G. Mimic, P.A.J. van Oort, K. Jindo, S. Brdar, I. N.Athanasiadis, F. K. van Evert, Mixing process-based and data-driven approaches in yield prediction, European Journal of Agronomy, 139:126569, 2022 Paper Open Access DOI
  31. N. Grujic, S. Brdar, S. Osinga, G. J. Hofstede, I. N. Athanasiadis, M. Pljakic, N. Obrenovic, M. Govedarica, V. Crnojevic, Combining telecom data with heterogeneous data sources for traffic and emission assessments - an agent-based approach, ISPRS International Journal of Geo-Information, 11 (7):366, 2022 Paper Open Access DOI
  32. C. Pylianidis, V. Snow, H. Overweg, S. Osinga, J. Kean, I. N. Athanasiadis, Simulation-assisted machine learning for operational digital twins, Environmental Modelling & Software, 148:105274, 2022 Paper Open Access DOI Code Open Access Link
  33. D. Paudel, H. Boogaard, A. de Wit, M. van der Velde, M. Claverie, L. Nisini, S. Janssen, S. Osinga, I. N. Athanasiadis, Machine learning for regional crop yield forecasting in Europe, Field Crops Research, 276:108377, 2022 Paper Open Access DOI Data Open Access DOI Code Open Access Link
  34. R. Biesbroek, S. J. Wright, S. Korswagen Eguren, A. Bonotto, I. N. Athanasiadis, Policy attention to climate change impacts, adaptation and vulnerability: a global assessment of National Communications (1994–2019), Climate Policy, 222022 Paper Open Access DOI
  35. S. Osinga, D.Paudel, S. A. Mouzakitis, I. N. Athanasiadis, Big data in agriculture: Between opportunity and solution, Agricultural Systems, 195:103298, 2022 Paper Open Access DOI

    36. 2021

  36. M. Scowen, I.N. Athanasiadis, J.M. Bullock, F. Eigenbrod, S.Willcock, The current and future uses of machine learning in ecosystem service research, Science of The Total Environment, 799:149263, 2021 Paper Open Access DOI
  37. M. van der Voort, D. Jensen, C. Kamphuis, I. N. Athanasiadis, A. De Vries, H.Hogeveen, Invited review: Toward a common language in data-driven mastitis detection research, Journal of Diary Science, 104 (10):10449-10461, 2021 Paper Open Access DOI
  38. R. Dolan, J. M. Bullock, J. P. G. Jones, I. N. Athanasiadis, J. Martinez-Lopez, S. Willcock, The flows of nature to people, and of people to nature: applying movement concepts to ecosystem services, Land, 10 (6):576, 2021 Paper Open Access DOI
  39. C. A. Midingoyi, C. Pradal, A. Enders, D. Fumagalli, H. Raynal, M. Donatelli, I. N. Athanasiadis, C. Porter, G. Hoogenboom, D. Holzworth, F. Garcia, P. Thorburn, P.Martre, Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components, Environmental Modelling & Software, 142:105055, 2021 Paper Open Access DOI Code Open Access Link
  40. C.Pylianidis, S. Osinga, I. N. Athanasiadis, Introducing digital twins to agriculture, Computers and Electronics in Agriculture, 184:105942, 2021 Paper Open Access DOI
  41. D.Paudel, H. Boogaard, A. de Wit, S.Janssen, S. Osinga, C. Pylianidis, I. N.Athanasiadis, Machine learning for large-scale crop yield forecasting, Agricultural Systems, 187:103016, 2021 Paper Open Access DOI Data Open Access DOI Code Open Access Link

    42. 2020

  42. S. Gummadi, M.D.M. Kadiyala, K.P.C. Rao, I. Athanasiadis, R. Mulwa, M. Kilavi, G. Legesse, T. Amede, Simulating adaptation strategies to offset potential impacts of climate variability and change on maize yields in Embu County, Kenya, PLOS One, 15 (11):e0241147, 2020 Paper Open Access DOI Data Open Access DOI Code Open Access Link
  43. C.A. Midingoyi, C. Pradal, I.N. Athanasiadis, M. Donatelli, A. Enders, D. Fumagalli, F. Garcia, D. Holzworth, G. Hoogenboom, C. Porter, H. Raynal, P. Thorburn, P. Martre, Reuse of process-based models: automatic transformation into many programming languages and simulation platforms, in silico Plants, 2 (1):diaa007, 2020 Paper Open Access DOI Code Open Access Link
  44. E.M.M. van der Heide, C. Kamphuis, R.F. Veerkamp, I. N. Athanasiadis, G.Azzopardi, M.L. van Pelt, B.J. Ducro, Improving predictive performance on survival in dairy cattle using an ensemble learning approach, Computers and Electronics in Agriculture, 177:105675, 2020 Paper Open Access DOI
  45. C. Salma, B.Tekinerdogan, I. N. Athanasiadis, Software architectures for big data: a systematic literature review, Big Data Analytics, 5:5, 2020 Paper Open Access DOI
  46. R. Biesbroek, S. Badloe, I. N. Athanasiadis, Machine learning for research on climate change adaptation policy integration: an exploratory UK case study, Regional Environmental Change, 20:85, 2020 Paper Open Access DOI Data Open Access DOI Code Open Access Link
  47. D. Schokker, I. N. Athanasiadis, B. Visser, R. F. Veerkamp, C. Kamphuis, Storing, combining and analysing turkey experimental data in the Big Data era, Animal, 14 (11):2397-2403, 2020 Paper Open Access DOI Data Open Access DOI Code Open Access Link
  48. E. A. Papoutsoglou, D. Faria, D. Arend, E. Arnaud, I. N. Athanasiadis, I. Chaves, F. Coppens, G. Cornut, B.V. Costa, H. Cwiek-Kupczynska, B.V. Droesbeke, R. Finkers, K. Gruden, A. Junker, G.J. King, P. Krajewski, M. Lange, M.A. Laporte, C. Michotey, M. Oppermann, R. Ostler, H. Poorter, R. Ramirez-Gonzalez, Z. Ramsak, J.C. Reif, P. Rocca-Serra, S.A. Sansone, U. Scholz, F. Tardieu, C. Uauy, B. Usadel, R. G.F. Visser, S. Weise, P.J. Kersey, C.M. Miguel, A.F. Adam-Blondon, C. Pommier, Enabling reusability of plant phenomic datasets with MIAPPE 1.1, New Phytologist, 227 (1):260-273, 2020 Paper Open Access DOI
  49. G. Motta, B. Tekinerdogan, I. N. Athanasiadis, Blockchain applications in the agrifood domain: the first wave, Frontiers in Blockchain, 2020 Paper Open Access DOI
  50. A. Samourkasidis, I. N. Athanasiadis, A semantic approach for timeseries data fusion, Computers and Electronics in Agriculture, 169:105171, 2020 Paper Open Access DOI Code Open Access Link Download statistics
  51. S. Elsawah, T. Filatova, A. J. Jakeman, A. J. Kettner, M. L. Zellner, I. N. Athanasiadis, S. H. Hamilton, R. L. Axtell, D. G. Brown, J. M. Gilligan, M. A. Janssen, D. T. Robinson, J. Rozenberg, I. I. T. Ullah, S. J. Lade, Eight grand challenges in socio-environmental systems modeling, Socio-Environmental Systems Modelling, 2:16226, 2020 Paper Open Access DOI

    52. 2019

  52. A. Samourkasidis, E. Papoutsoglou, I. N. Athanasiadis, A template framework for environmental timeseries data acquisition, Environmental Modelling and Software, 117:237-249, 2019 Paper Open Access DOI Code Open Access Link Download statistics
  53. E.M.M. van der Heide, R.F. Veerkamp, M.L. van Pelt, C. Kamphuis, I. N. Athanasiadis, B.J. Ducro, Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle, Journal of Diary Science, 102:9409–9421, 2019 Paper Open Access DOI
  54. J. Martínez-López, K. J. Bagstad, S. Balbi, A. Magrach, B. Voigt, I. N. Athanasiadis, M. Pascual, S. Willcock, F. Villa, Towards globally customizable ecosystem service models, Science of the Total Environment, 650:2325-2336, 2019 Paper Open Access DOI

    55. 2018

  55. B. Kolosz, I. N. Athanasiadis, G. Cadisch, T. Dawson, C. Giupponi, M. Honzák, J. M. Lopez, A. Marvuglia, V. Mojtahed, K. B. Z. Ogutu, H. van Delden, F. Villa, S. Balbi, Conceptual advancement of socio-ecological modelling of ecosystem services for re-evaluating Brownfield land, Ecosystem Services, 33:29-39, 2018 Paper DOI
  56. K. Gibert, J. S. Horsburgh, I. N. Athanasiadis, G. Holmes, Environmental Data Science, Environmental Modelling and Software, 106:4-12, 2018 Paper DOI
  57. S. Willcock, J. Martínez-López, D. A. Hooftman, K. J. Bagstad, S. Balbi, A. Marzo, C. Prato, S. Sciandrello, G. Signorello, B. Voigt, F. Villa, J. M. Bullock, I. N. Athanasiadis, Machine Learning for Ecosystem Services, Ecosystem Services, 33:165-174, 2018 Paper Open Access DOI
  58. D. Kremmydas, I. N. Athanasiadis, S. Rozakis, A review of Agent Based Modeling for agricultural policy evaluation, Agricultural Systems, 164:95-106, 2018 Paper DOI

    59. 2017

  59. F. Villa, S. Balbi, I. N. Athanasiadis, C. Caracciolo, Semantics for interoperability of distributed data and models: Foundations for better-connected information, F1000Research, 62017 Paper Open Access DOI
  60. T. Klein, A. Samourkasidis, I. N. Athanasiadis, G. Bellocchi, P. Calanca, webXTREME: R-based web tool for calculating agroclimatic indices of extreme events, Computers and Electronics in Agriculture, 116:111-116, 2017 Paper DOI
  61. S. J. Janssen, C. H. Porter, A. D. Moore, I. N. Athanasiadis, I. Foster, J. W. Jones, J. M. Antle, Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology, Agricultural Systems, 155:200-212, 2017 Paper DOI
  62. A. Samourkasidis, I. N. Athanasiadis, A Miniature Data Repository on a Raspberry Pi, Electronics, 6:1, 2017, Multidisciplinary Digital Publishing Institute Paper DOI

    63. 2016

  63. P. S. Efraimidis, G. Drosatos, A. Arampatzis, G. Stamatelatos, I. N. Athanasiadis, A Privacy-by-Design Contextual Suggestion System for Tourism, Journal of Sensor and Actuator Networks, 5:10, 2016, Multidisciplinary Digital Publishing Institute Paper DOI

    64. 2015

  64. D. P. Holzworth, V. Snow, S. Janssen, I. N. Athanasiadis, M. Donatelli, G. Hoogenboom, J. W. White, P. Thorburn, Agricultural production systems modelling and software: Current status and future prospects, Environmental Modelling and Software, 72:276-286, 2015 Paper DOI

    65. 2014

  65. C. H. Porter, C. Villalobos, D. Holzworth, R. Nelson, J. W. White, I. N. Athanasiadis, S. Janssen, D. Ripoche, J. Cufi, D. Raes, M. Zhang, R. Knapen, R. Sahajpal, K. J. Boote, J. W. Jones, Harmonization and translation of crop modeling data to ensure interoperability, Environmental Modelling and Software, 62:495–508, 2014 Paper DOI
  66. F. Villa, K. J. Bagstad, B. Voigt, G. W. Johnson, I. N. Athanasiadis, S. Balbi, The misconception of ecosystem disservices: How a catchy term may yield the wrong messages for science and society, Ecosystem Services, 10:52-53, 2014 Paper DOI
  67. G. Drosatos, P. Efraimidis, I. Athanasiadis, M. Stevens, E. D'Hondt, Privacy-Preserving Computation of Participatory Noise Maps in the Cloud, Journal of Systems and Software, 92:170-183, 2014 Paper DOI

    68. 2012

  68. S. Nesic, A. E. Rizzoli, I. N. Athanasiadis, Publishing agro-environmental resources as linked data, International Journal of Metadata, Semantics and Ontologies, 7:25-36, 2012 Paper DOI

    69. 2011

  69. S. Janssen, I. N. Athanasiadis, I. Bezlepkina, R. Knapen, H. Li, I. P. Dominguez, A. E. Rizzoli, M. K. van Ittersum, Linking Models for Assessing Agricultural Land Use Change, Computers and Electronics in Agriculture, 76:148-160, 2011 Paper DOI
  70. I. N. Athanasiadis, A. E. Rizzoli, M. Donatelli, L. Carlini, Enriching environmental software model interfaces through ontology-based tools, International Journal of Applied Systemic Studies, 4:94-105, 2011 Paper DOI

    71. 2009

  71. S. Janssen, F. Ewert, H. Li, I. N. Athanasiadis, J. Wien, O. Thérond, M. Knapen, I. Bezlepkina, J. Alkan-Olsson, A. Rizzoli, H. Belhouchette, M. Svensson, M. van Ittersum, Defining assessment projects and scenarios for policy support: use of ontology in Integrated Assessment and Modelling, Environmental Modelling and Software, 24:1491-1500, 2009 Paper DOI
  72. I. N. Athanasiadis, M. Milis, P. A. Mitkas, S. C. Michaelides, A multi-agent system for meteorological radar data management and decision support, Environmental Modelling and Software, 24:1264-1273, 2009 Paper DOI
  73. S. Janssen, E. Andersen, I. N. Athanasiadis, M. K. van Ittersum, A database for integrated assessment of European agricultural systems, Environmental Science and Policy, 12:573-587, 2009 Paper DOI
  74. F. Villa, I. N. Athanasiadis, A. E. Rizzoli, Modelling with knowledge: a review of emerging semantic approaches to environmental modelling, Environmental Modelling and Software, 24:577-587, 2009 Paper DOI

    75. 2008

  75. D. D. Pennington, I. N. Athanasiadis, S. Bowers, S. Krivov, J. Madin, M. Schildhauer, F. Villa, Indirectly driven knowledge modelling in ecology, International Journal of Metadata, Semantics and Ontologies, 3:210-225, 2008 Paper DOI
  76. A. E. Rizzoli, M. Donatelli, I. N. Athanasiadis, F. Villa, D. Huber, Semantic links in integrated modelling frameworks, Mathematics and Computers in Simulation, 78:412-423, 2008 Paper DOI
  77. I. N. Athanasiadis, S. Janssen, Semantic mediation for environmental model components integration, Information Technologies in Environmental Engineering, 1:3-11, 2008

    78. 2007

  78. A. L. Symeonidis, K. C. Chatzidimitriou, I. N. Athanasiadis, P. A. Mitkas, Data mining for agent reasoning: a synergy for training intelligent agents, Engineering Applications of Artificial Intelligence, 20:1097-1111, 2007 Paper DOI
  79. I. N. Athanasiadis, P. A. Mitkas, Knowledge discovery for operational decision support in air quality management, Journal of Environmental Informatics, 9:100-107, 2007 Paper DOI
  80. P. A. Mitkas, A. L. Symeonidis, D. K. Kehagias, I. N. Athanasiadis, Application of data mining and intelligent agent technologies to concurrent engineering, International Journal of Product Lifecycle Management, 2:173-186, 2007 Paper DOI
  81. V. G. Kaburlasos, I. N. Athanasiadis, P. A. Mitkas, Fuzzy Lattice Reasoning (FLR) classifier and its application for ambient ozone estimation, International Journal of Approximate Reasoning, 45:152-188, 2007 Paper DOI
  82. A. L. Symeonidis, I. N. Athanasiadis, P. A. Mitkas, A retraining methodology for enhancing agent intelligence, Knowledge-based Systems, 20:388-396, 2007 Paper DOI

    83. 2006

  83. I. N. Athanasiadis, An intelligent service layer upgrades environmental information management, IT Professional, 8:34-39, 2006 Paper DOI

    84. 2005

  84. I. N. Athanasiadis, A. K. Mentes, P. A. Mitkas, Y. A. Mylopoulos, A hybrid agent-based model for estimating residential water demand, Simulation - Transactions of The Society for Modeling and Simulation International, 81:175-187, 2005 Paper DOI
  85. I. N. Athanasiadis, P. A. Mitkas, Social influence and water conservation: An agent-based approach, IEEE Computing in Science and Engineering, 7:65-70, 2005 Paper DOI

    86. 2004

  86. I. N. Athanasiadis, P. A. Mitkas, An agent-based intelligent environmental monitoring system, Management of Environmental Quality, 15:238-249, 2004 Paper DOI