Mohammad Sajjad Ghaemi

17 papers Misc 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Modeling of longitudinal immune profiles reveals distinct immunogenic signatures following five COVID-19 vaccinations among people living with HIV. Patterns Chapin S. Korosec, Jessica M. Conway, Vitaliy A. Matveev, Mario A. Ostrowski, Jane M. Heffernan, Mohammad Sajjad Ghaemi
2025	—	`conf`	SMORE-DRL: Scalable Multi-Objective Robust and Efficient Deep Reinforcement Learning for Molecular Optimization. BIBM Aws Al Jumaily, Nicholas Aksamit, Yage Zhang, Mohammad Sajjad Ghaemi, Jinqiang Hou, Hsu Kiang Ooi, Yifeng Li
2025	J	`jnl`	VNFlow: integration of variational autoencoders and normalizing flows for novel molecular design. J. Cheminformatics Jirí Hostas, Mohammad Sajjad Ghaemi, Hang Hu, Junan Lin, Anguang Hu, Hsu Kiang Ooi
2024	J	`jnl`	Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning. Comput. Biol. Medicine Mohammad-Javad Darvishi Bayazi, Mohammad Sajjad Ghaemi, Timothée Lesort, Md Rifat Arefin, Jocelyn Faubert, Irina Rish
2024	—	`conf`	Dance of the Neurons: Unraveling Sex from Brain Signals (short paper). ML4CMH@AAAI Mohammad-Javad Darvishi Bayazi, Mohammad Sajjad Ghaemi, Jocelyn Faubert, Irina Rish
2023	J	`jnl`	Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning. CoRR Mohammad-Javad Darvishi Bayazi, Mohammad Sajjad Ghaemi, Timothée Lesort, Md Rifat Arefin, Jocelyn Faubert, Irina Rish
2023	J	`jnl`	CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design. CoRR Mohammad Sajjad Ghaemi, Hang Hu, Anguang Hu, Hsu Kiang Ooi
2023	—	`conf`	Machine learning for the prediction of safe and biologically active organophosphorus molecules. Canadian AI Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu
2023	J	`jnl`	Machine learning for the prediction of safe and biologically active organophosphorus molecules. CoRR Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu
2023	Misc	`conf`	bfCHA KI Mohammad Sajjad Ghaemi, Hang Hu, Anguang Hu, Hsu Kiang Ooi
2022	J	`jnl`	Deep Evolutionary Learning for Molecular Design. IEEE Comput. Intell. Mag. Karl Grantham, Muhetaer Mukaidaisi, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Alain B. Tchagang, Yifeng Li
2022	—	`conf`	Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. Canadian AI Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi
2022	J	`jnl`	Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. CoRR Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi
2020	J	`jnl`	Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. Nat. Mach. Intell. Anthony Culos, Amy Tsai, Natalie Stanley, Martin Becker, Mohammad Sajjad Ghaemi, David Mcilwain, Ramin Fallahzadeh, Athena Tanada, Huda Nassar, Camilo Espinosa, Maria Xenochristou, Edward Ganio, Laura Peterson, Xiaoyuan Han, Ina A. Stelzer, Kazuo Ando, Dyani Gaudilliere, Thanaphong Phongpreecha, Ivana Maric, Alan L. Chang, Gary M. Shaw, David K. Stevenson, Sean Bendall, Kara L. Davis, Wendy J. Fantl, Garry P. Nolan, Trevor Hastie, Robert Tibshirani, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
2019	J	`jnl`	Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinform. 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, Anthony Culos, Natalie Stanley, Athena Tanada, Amy Tsai, Dyani Gaudilliere, Edward Ganio, Xiaoyuan Han, Kazuo Ando, Leslie McNeil, Martha Tingle, Paul H. Wise, Ivana Maric, Marina Sirota, Tony Wyss-Coray, Virginia D. Winn, Maurice L. Druzin, Ronald Gibbs, Gary L. Darmstadt, David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, Michael P. Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
2017	—	`conf`	Chiron: A Robust Recommendation System with Graph Regularizer. CORES Saber Shokat Fadaee, Mohammad Sajjad Ghaemi, Hossein Azari Soufiani, Ravi Sundaram
2010	—	`conf`	A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates. ICONIP (1) Mohammad Sajjad Ghaemi, Saeed Masoudnia, Reza Ebrahimpour