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Publications

Articles, actes de conférences, communications et jeux de données en optimisation, apprentissage automatique et applications de l’intelligence artificielle.
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2026

  1. Spatiotemporal modeling and uncertainty quantification of reference evapotranspiration using machine learning and Bayesian model averaging in BeninB. C. F. Mizele, M. Meliho, V. R. Houndji, S. A. R. M. Ahouandjinou, C. A. Orlando. Geomatics, vol. 6, no 4, article 73.

2025

  1. Machine learning techniques for tomato yield prediction: a comprehensive analysisK. A. Odah, S. C. A. Houetohossou, V. R. Houndji, R. L. G. Kakaï. Smart Agricultural Technology, vol. 12, 101067.
  2. Machine learning-based path loss models: towards a unified methodologyM. A. O. Balogoun, M. Dossou, V. R. Houndji, A.-C. Honfoga. IEEE ICETCI 2025, pp. 1–9.
  3. Towards a fully-fletched African register of implanted pacemakersS. O. F. Kouzonde, G. Kpadjouda, V. R. Houndji, S. A. R. M. Ahouandjinou, J. Degila, M. L. Ba. InterSol 2025, LNICST, pp. 204–216.
  4. Cotton jassid pests severity discrimination using single image super resolution, data fusion and machine learning based on SAR, multispectral and thermal infrared open satellite sensors dataS. Bah, V. R. Houndji, E. W. G. Megnigbeto, E. C. Ezin, N. G. Gouwakinnou. IEEE AICSIP 2025, pp. 1–7.
  5. Effects of weather scenarios and fertilizer on maize growth and yield: insights from a greenhouse experimentS. P. G. Tahi, K. V. Salako, V. R. Houndji, R. Glèlè Kakaï. PLOS ONE, 20(3), e0318121.
  6. RiceSeg-5932: complete pixel-level segmentation masks for rice leaf disease images samplesK. M. S. Zinsou, V. R. Houndji. Mendeley Data, version 1. Jeu de données de recherche.

2024

  1. Cotton jassid infestation monitoring using Sentinel-2 MSI, Landsat 9 TIRS, and PlanetScope imagery with machine learning and data fusionS. Bah, M. D. T. M. Houegbe, E. W. G. Megnigbeto, V. R. Houndji, B. N. Kouton, N. G. Gouwakinnou, E. C. Ezin. IEEE ICCA 2024, pp. 1–9.
  2. An experimental analysis of traditional machine learning algorithms for maize yield predictionS. P. G. Tahi, C. G. Hounmenou, V. R. Houndji, R. G. Kakaï. Contemporary Mathematics, vol. 5, no 4, pp. 6208–6224.
  3. Using pattern mining to determine fine climatic parameters for maize yield in BeninS. P. G. Tahi, V. R. Houndji, C. G. Hounmenou, R. G. Kakaï. IAES International Journal of Artificial Intelligence, vol. 13, no 4, pp. 3930–3941.
  4. Genetic algorithms for solving the pigment sequencing problemV. R. Houndji, T. Gna. African Journal of Research in Computer Science and Applied Mathematics, vol. 40.
  5. Empirical performance of deep learning models with class imbalance for crop disease classificationS. C. A. Houetohossou, C. G. Hounmenou, V. R. Houndji, R. G. Kakaï. DeLTA 2024, CCIS, vol. 2172, pp. 118–135.
  6. NextVision, an intelligent video surveillance system based on computer vision and natural language processingV. R. Houndji, P. G. Guedje. ICICT 2024, Lecture Notes in Networks and Systems, vol. 1055, pp. 271–281.
  7. Finding optimum climatic parameters for high tomato yield in Benin (West Africa) using frequent pattern growth algorithmA. Houetohossou, V. R. Houndji, R. Sikirou, R. G. Glèlè Kakaï. PLOS ONE, 19(2), e0297983.
  8. Machine learning techniques for cereal crops yield prediction: a comprehensive reviewS. P. G. Tahi, V. R. Houndji, K. V. Salako, C. G. Hounmenou, R. G. Kakaï. Applications of Modelling and Simulation, vol. 8, pp. 174–190.
  9. Radio coverage prediction in wireless networks: a bibliometric studyM. A. O. Balogoun, V. R. Houndji, M. Dossou, A.-C. Honfoga. ICICT 2023, LNNS, vol. 696, pp. 341–361.

2023

  1. Advancements in video-based insect tracking: a bibliometric analysis to a short surveyE. A. Adjé, A. S. R. M. Ahouandjinou, G. Delmaire, G. Roussel, R. V. Houndji. ICAIP 2023, pp. 75–82.
  2. Time-constrained DL8.5 using limited discrepancy searchH. Kiossou, P. Schaus, S. Nijssen, V. R. Houndji. ECML PKDD 2022, LNCS, vol. 13717, pp. 443–459.
  3. C-Elect, an automatic candidate selection tool using constraint programmingV. R. Houndji, K. B. Selegbe. IEEE ICECET 2023, Cape Town, pp. 1–4.
  4. UMLDesigner: an automatic UML diagram design toolV. R. Houndji, G. Akotenou. DeLTA 2023, CCIS, vol. 1875, pp. 340–350.
  5. GrailSolver, à la dernière itération de l’obtention du graal de la programmationV. R. Houndji, G. Akotenou, A. M. Kousse, K. Bonou Selegbe. Communication aux Journées Francophones de Programmation par Contraintes, Strasbourg.
  6. Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: state of the art and perspectivesS. C. A. Houetohossou, V. R. Houndji, C. G. Hounmenou, R. Sikirou, R. L. G. Kakaï. Artificial Intelligence in Agriculture, vol. 9, pp. 46–60.
  7. Use of artificial intelligence in cardiology: where are we in Africa?F. Lo Niang, V. R. Houndji, M. Lo, J. Degila, M. L. Ba. AFRICOMM 2022, LNICST, vol. 499, pp. 473–486.

2022

  1. Performance profiles to refine analysis of machine learning modelsV. R. Houndji, B. Zossou. Communication à l’International Seminar on Machine Learning, Optimization, and Data Science.
  2. Features analysis of internet traffic classification using interpretable machine learning modelsE. A. Adjé, V. R. Houndji, M. Dossou. IAES International Journal of Artificial Intelligence, vol. 11, no 3, pp. 1175–1183.
  3. Automatic UML defects detection based on image of diagramM. S. Lokonon, V. R. Houndji. DeLTA, pp. 193–198.
  4. A bibliometric analysis of the trends in the research on wearable technologies for cardiovascular diseasesG. E. A. Kpadjouda Job, J. Degila, S. A. Ahouandjinou, V. R. Houndji, M. L. Ba. pHealth, Studies in Health Technology and Informatics.

2020

  1. Prediction of the purchase intention of users on e-commerce platforms using gradient boostingY. Kiki, V. R. Houndji. International Journal of Engineering and Advanced Technology, vol. 10, no 1, pp. 446–450.
  2. Using an interpretable machine learning approach to study the drivers of international migrationH. Kiossou, Y. Schenk, F. Docquier, V. R. Houndji, S. Nijssen, P. Schaus. Harvard CRCS Workshop on Artificial Intelligence for Social Good.
  3. AmonAI: a students academic performances prediction systemI. Houndayi, V. R. Houndji, P.-J. Zohou, E. C. Ezin. AFRICOMM, LNICST, vol. 311, pp. 212–218.

2019

  1. The item-dependent StockingCost constraintV. R. Houndji, P. Schaus, L. Wolsey. Constraints, vol. 24, pp. 183–209.
  2. Sorghum yield prediction using machine learningG. Zannou, V. R. Houndji. IEEE BioSMART, pp. 152–155.
  3. Awale game: application programming interface and augmented reality interfaceP. Houessou, V. R. Houndji, E. C. Ezin, P. Kiki, H. Kiossou, J.-B. Sossou, F. Zoumarou Walis. LNICST, vol. 260, pp. 147–154.

2018

  1. Cost-based filtering algorithms for a capacitated lot sizing problem and the constrained arborescence problemV. R. Houndji. Constraints, vol. 23, no 4, pp. 481–482. Résumé de thèse.
  2. Generic heuristic for the mnk gamesA.-H. Abdoulaye, V. R. Houndji, E. C. Ezin, G. Aglin. CARI 2018, pp. 265–275.

2017

  1. The weighted arborescence constraintV. R. Houndji, P. Schaus, M. N. Hounkonnou, L. Wolsey. CPAIOR 2017, LNCS, vol. 10335, pp. 185–201.

2014

  1. The StockingCost constraintV. R. Houndji, P. Schaus, L. Wolsey, Y. Deville. CP 2014, LNCS, vol. 8656, pp. 382–397.