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The last 5 uploaded publications
Evolutionary Machine Learning: A Survey
Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, Amir Gandomi (2021). Evolutionary Machine Learning: A Survey. ACM Computing Surveys, 54(8), pp. 1-35, DOI: 10.1145/3467477.
Article419 days agoProbabilistic neural networks
Behshad Mohebali, Amirhessam Tahmassebi, Anke Meyer‐Baese, Amir Gandomi (2019). Probabilistic neural networksProbabilistic neural networks. Elsevier eBooks, pp. 347-367, DOI: 10.1016/b978-0-12-816514-0.00014-x,
Chapter in a book419 days agoXGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions
Elika Karbassiyazdi, Fatemeh Fattahi, Negin Yousefi, Amirhessam Tahmassebi, Arsia Afshar Taromi, Javad Zyaie Manzari, Amir Gandomi, Ali Altaee, Amir Razmjou (2022). XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions. Environmental Research, 215, pp. 114286-114286, DOI: 10.1016/j.envres.2022.114286.
Article419 days agoBuilding energy consumption forecast using multi-objective genetic programming
Amirhessam Tahmassebi, Amir Gandomi (2018). Building energy consumption forecast using multi-objective genetic programming. Measurement, 118, pp. 164-171, DOI: 10.1016/j.measurement.2018.01.032.
Article419 days agoDeep Learning in Medical Imaging
Amirhessam Tahmassebi, Amir Gandomi, Ian McCann, Mieke H.J. Schulte, Anna E. Goudriaan, Anke Meyer‐Baese (2018). Deep Learning in Medical Imaging. Proceedings of the Practice and Experience on Advanced Research Computing, pp. 1-4, DOI: 10.1145/3219104.3229250.
Article419 days ago