A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates. - Mohammad Sajjad Ghaemi; Saeed Masoudnia; Reza Ebrahimpour (ICONIP (1), 2010)

Chiron: A Robust Recommendation System with Graph Regularizer. - Saber Shokat Fadaee; Mohammad Sajjad Ghaemi; Hossein Azari Soufiani; Ravi Sundaram (CORES, 2017)

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. - Mohammad Sajjad Ghaemi; Daniel B. DiGiulio; Kévin Contrepois; Benjamin J. Callahan; Thuy T. M. Ngo; Brittany Lee-McMullen; Benoit Lehallier; Anna Robaczewska; David Mcilwain; Yael Rosenberg-Hasson; Ronald J. Wong; Cecele Quaintance; et al. (Bioinform., 2019)

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. - Anthony Culos; Amy Tsai; Natalie Stanley; Martin Becker 003; Mohammad Sajjad Ghaemi; David Mcilwain; Ramin Fallahzadeh; Athena Tanada; Huda Nassar; Camilo Espinosa; Maria Xenochristou; Edward Ganio; et al. (Nat. Mach. Intell., 2020)

Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. - Mohammad Sajjad Ghaemi; Karl Grantham; Isaac Tamblyn; Yifeng Li 001; Hsu Kiang Ooi (Canadian AI, 2022)

Deep Evolutionary Learning for Molecular Design. - Karl Grantham; Muhetaer Mukaidaisi; Hsu Kiang Ooi; Mohammad Sajjad Ghaemi; Alain B. Tchagang; Yifeng Li 001 (IEEE Comput. Intell. Mag., 2022)

Machine learning for the prediction of safe and biologically active organophosphorus molecules. - Hang Hu 017; Hsu Kiang Ooi; Mohammad Sajjad Ghaemi; Anguang Hu (Canadian AI, 2023)

bfCHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design. - Mohammad Sajjad Ghaemi; Hang Hu 017; Anguang Hu; Hsu Kiang Ooi (KI, 2023)

CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design. - Mohammad Sajjad Ghaemi; Hang Hu 017; Anguang Hu; Hsu Kiang Ooi (CoRR, 2023)

Dance of the Neurons: Unraveling Sex from Brain Signals (short paper). - Mohammad-Javad Darvishi Bayazi; Mohammad Sajjad Ghaemi; Jocelyn Faubert; Irina Rish (ML4CMH@AAAI, 2024)

Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning. - Mohammad-Javad Darvishi Bayazi; Mohammad Sajjad Ghaemi; Timothée Lesort; Md Rifat Arefin; Jocelyn Faubert; Irina Rish (Comput. Biol. Medicine, 2024)