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ORCIDMohammad Sajjad Ghaemi
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2020 – today
- 2024
[j4]Mohammad-Javad Darvishi Bayazi
, Mohammad Sajjad Ghaemi, Timothée Lesort, Md Rifat Arefin, Jocelyn Faubert, Irina Rish:
Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning. Comput. Biol. Medicine 169: 107893 (2024)- [c6]Mohammad-Javad Darvishi Bayazi, Mohammad Sajjad Ghaemi, Jocelyn Faubert, Irina Rish:
Dance of the Neurons: Unraveling Sex from Brain Signals (short paper). ML4CMH@AAAI 2024: 35-40 - 2023
- [c5]Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu:
Machine learning for the prediction of safe and biologically active organophosphorus molecules. Canadian AI 2023 - [c4]Mohammad Sajjad Ghaemi, Hang Hu, Anguang Hu, Hsu Kiang Ooi:
bfCHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design. KI 2023: 23-30 - [i4]Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu:
Machine learning for the prediction of safe and biologically active organophosphorus molecules. CoRR abs/2302.10952 (2023) - [i3]Mohammad Sajjad Ghaemi, Hang Hu, Anguang Hu, Hsu Kiang Ooi:
CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design. CoRR abs/2302.11000 (2023) - [i2]Mohammad-Javad Darvishi Bayazi, Mohammad Sajjad Ghaemi, Timothée Lesort, Md Rifat Arefin, Jocelyn Faubert, Irina Rish:
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning. CoRR abs/2309.10910 (2023) - 2022
- [j3]Karl Grantham, Muhetaer Mukaidaisi, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Alain B. Tchagang, Yifeng Li:
Deep Evolutionary Learning for Molecular Design. IEEE Comput. Intell. Mag. 17(2): 14-28 (2022) - [c3]Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi:
Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. Canadian AI 2022 - [i1]Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi:
Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. CoRR abs/2204.02474 (2022) - 2020
- [j2]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:
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. Nat. Mach. Intell. 2(10): 619-628 (2020)
2010 – 2019
- 2019
- [j1]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:
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinform. 35(1): 95-103 (2019) - 2017
- [c2]Saber Shokat Fadaee, Mohammad Sajjad Ghaemi, Hossein Azari Soufiani, Ravi Sundaram:
Chiron: A Robust Recommendation System with Graph Regularizer. CORES 2017: 367-376 - 2010
- [c1]Mohammad Sajjad Ghaemi, Saeed Masoudnia, Reza Ebrahimpour:
A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates. ICONIP (1) 2010: 470-477
Coauthor Index
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