Sajad Darabi

According to our database, Sajad Darabi authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery.

Peter St. John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St. John, Adrian Lange, Patrick Hsu, Rajesh Illango, Arvind Ramanathan, Anima Anandkumar, David H. Brookes, Akosua Busia, Abhishaike Mahajan, Stephen Malina, Neha Prasad, Sam Sinai, Lindsay Edwards, Thomas Gaudelet, Cristian Regep, Martin Steinegger, Burkhard Rost, Alexander Brace, Kyle Hippe, Luca Naef, Keisuke Kamata, George Armstrong, Kevin Boyd, Zhonglin Cao, Han-Yi Chou, Simon Chu, Allan dos Santos Costa, Sajad Darabi, Eric Dawson, Kieran Didi, Cong Fu, Mario Geiger, Michelle Gill, Darren Hsu, Gagan Kaushik, Maria Korshunova, Steven Kothen-Hill, Youhan Lee, Meng Liu, Micha Livne, Zachary McClure, Jonathan Mitchell, Alireza Moradzadeh, Ohad Mosafi, Youssef Nashed, Saee Paliwal, Yuxing Peng, Sara Rabhi, Farhad Ramezanghorbani, Danny Reidenbach, Camir Ricketts, Brian Roland, Kushal Shah, Tyler Shimko, Hassan Sirelkhatim, Savitha Srinivasan, Abraham C. Stern, Dorota Toczydlowska, Srimukh Prasad Veccham, Niccolò Alberto Elia Venanzi, Anton Vorontsov, Jared Wilber, Isabel Wilkinson, Wei Jing Wong, Eva Xue, Cory Ye, Xin Yu, Yang Zhang, Guoqing Zhou, Becca Zandstein, Christian Dallago, Bruno Trentini, Emine Küçükbenli, Timur Rvachov, Eddie Calleja, Johnny Israeli, Harry Clifford, Risto Haukioja, Nicholas Haemel, Kyle Tretina, Neha Tadimeti, Anthony B. Costa

CoRR, 2024

2023

TSPP: A Unified Benchmarking Tool for Time-series Forecasting.

Jan Baczek, Dmytro Zhylko, Gilberto Titericz, Sajad Darabi, Jean-Francois Puget, Izzy Putterman, Dawid Majchrowski, Anmol Gupta, Kyle Kranen, Pawel Morkisz

CoRR, 2023

2022

Generative Imputation and Stochastic Prediction.

Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Heterogenous Ensemble of Models for Molecular Property Prediction.

Sajad Darabi, Shayan Fazeli, Jiwei Liu, Alexandre Milesi, Pawel Morkisz, Jean-François Puget, Gilberto Titericz

CoRR, 2022

A Framework for Large Scale Synthetic Graph Dataset Generation.

Sajad Darabi, Piotr Bigaj, Dawid Majchrowski, Pawel Morkisz, Alex Fit-Florea

CoRR, 2022

2021

Deep Unsupervised & Semi-supervised Methods for Health Applications.

Sajad Darabi

PhD thesis, 2021

Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain.

Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh

CoRR, 2021

Synthesising Multi-Modal Minority Samples for Tabular Data.

Sajad Darabi, Yotam Elor

CoRR, 2021

2020

TAPER: Time-Aware Patient EHR Representation.

Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh

IEEE J. Biomed. Health Informatics, 2020

2019

Dynamic Feature Acquisition Using Denoising Autoencoders.

Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh

IEEE Trans. Neural Networks Learn. Syst., 2019

Group-Connected Multilayer Perceptron Networks.

Mohammad Kachuee, Sajad Darabi, Shayan Fazeli, Majid Sarrafzadeh

CoRR, 2019

Unsupervised Representation for EHR Signals and Codes as Patient Status Vector.

Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh

CoRR, 2019

Foothill: A Quasiconvex Regularization Function.

Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia

CoRR, 2019

Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams.

Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh

Proceedings of the 7th International Conference on Learning Representations, 2019

Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks.

Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018

BNN+: Improved Binary Network Training.

Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, Vahid Partovi Nia

CoRR, 2018

2017

Complex Event Processing of Health Data in Real-time to Predict Heart Failure Risk and Stress.

Sandeep Singh Sandha, Mohammad Kachuee, Sajad Darabi

CoRR, 2017

Context-aware feature query to improve the prediction performance.

Mohammad Kachuee, Anahita Hosseini, Babak Moatamed, Sajad Darabi, Majid Sarrafzadeh

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017