By Dr Hamid Alinejad-Rokny

Book Chapters

Shoeibi A; Jafari M; Sadeghi D; Alizadehsani R; Alinejad-Rokny H; Beheshti A; Gorriz JM, 2024, 'Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model', in Artificial Intelligence for Neuroscience and Emotional Systems, Springer Nature Switzerland, pp. 139 - 149, http://dx.doi.org/10.1007/978-3-031-61140-7_14

Roshanzamir M; Alizadehsani R; Moravvej SV; Joloudari JH; Alinejad-Rokny H; Gorriz JM, 2024, 'Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications', in Artificial Intelligence for Neuroscience and Emotional Systems, Springer Nature Switzerland, pp. 98 - 107, http://dx.doi.org/10.1007/978-3-031-61140-7_10

Shabani N; Beheshti A; Farhood H; Bower M; Garrett M; Rokny HA, 2022, 'iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data', in Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium, Springer International Publishing, pp. 352 - 356, http://dx.doi.org/10.1007/978-3-031-11647-6_68

Wang S; Beheshti A; Wang Y; Lu J; Sheng QZ; Elbourn S; Alinejad-Rokny H; Galanis E, 2021, 'Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload', in Artificial Intelligence in Education, pp. 384 - 389, http://dx.doi.org/10.1007/978-3-030-78270-2_68

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