Mohammad Sajjad Ghaemi

According to our database, Mohammad Sajjad Ghaemi authored at least 11 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, February, 2024

Dance of the Neurons: Unraveling Sex from Brain Signals (short paper).

Mohammad-Javad Darvishi Bayazi, Mohammad Sajjad Ghaemi, Jocelyn Faubert, Irina Rish

Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024

2023

CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design.

Mohammad Sajjad Ghaemi, Hang Hu, Anguang Hu, Hsu Kiang Ooi

CoRR, 2023

bfCHA₂: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design.

Mohammad Sajjad Ghaemi, Hang Hu, Anguang Hu, Hsu Kiang Ooi

Proceedings of the KI 2023: Advances in Artificial Intelligence, 2023

Machine learning for the prediction of safe and biologically active organophosphorus molecules.

Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

Deep Evolutionary Learning for Molecular Design.

Karl Grantham, Muhetaer Mukaidaisi, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Alain B. Tchagang, Yifeng Li

IEEE Comput. Intell. Mag., 2022

Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge.

Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2020

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

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

Nat. Mach. Intell., 2020

2019

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, 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

Bioinform., 2019

2017

Chiron: A Robust Recommendation System with Graph Regularizer.

Saber Shokat Fadaee, Mohammad Sajjad Ghaemi, Hossein Azari Soufiani, Ravi Sundaram

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

2010

A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates.

Mohammad Sajjad Ghaemi, Saeed Masoudnia, Reza Ebrahimpour

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010