Sajad Darabi - RankMe

23 papers Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Framework for Large-Scale Synthetic Graph Dataset Generation. IEEE Trans. Neural Networks Learn. Syst. Sajad Darabi, Piotr Bigaj, Dawid Majchrowski, Artur Kasymov, Pawel M. Morkisz, Alex Fit-Florea
2024	J	`jnl`	BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. CoRR Peter St. John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St. John, Adrian Lange, Patrick D. 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
2023	J	`jnl`	TSPP: A Unified Benchmarking Tool for Time-series Forecasting. CoRR Jan Baczek, Dmytro Zhylko, Gilberto Titericz, Sajad Darabi, Jean-Francois Puget, Izzy Putterman, Dawid Majchrowski, Anmol Gupta, Kyle Kranen, Pawel M. Morkisz
2022	J	`jnl`	A Framework for Large Scale Synthetic Graph Dataset Generation. CoRR Sajad Darabi, Piotr Bigaj, Dawid Majchrowski, Pawel M. Morkisz, Alex Fit-Florea
2022	J	`jnl`	Generative Imputation and Stochastic Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh
2022	J	`jnl`	Heterogenous Ensemble of Models for Molecular Property Prediction. CoRR Sajad Darabi, Shayan Fazeli, Jiwei Liu, Alexandre Milesi, Pawel M. Morkisz, Jean-François Puget, Gilberto Titericz
2021	J	`jnl`	Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain. CoRR Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh
2021	—	`—`	Deep Unsupervised & Semi-supervised Methods for Health Applications. Sajad Darabi
2021	J	`jnl`	Synthesising Multi-Modal Minority Samples for Tabular Data. CoRR Sajad Darabi, Yotam Elor
2020	J	`jnl`	TAPER: Time-Aware Patient EHR Representation. IEEE J. Biomed. Health Informatics Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
2019	J	`jnl`	Dynamic Feature Acquisition Using Denoising Autoencoders. IEEE Trans. Neural Networks Learn. Syst. Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh
2019	J	`jnl`	Foothill: A Quasiconvex Regularization Function. CoRR Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia
2019	—	`conf`	Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks. ICIAR (2) Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia
2019	J	`jnl`	Generative Imputation and Stochastic Prediction. CoRR Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh
2019	J	`jnl`	Group-Connected Multilayer Perceptron Networks. CoRR Mohammad Kachuee, Sajad Darabi, Shayan Fazeli, Majid Sarrafzadeh
2019	—	`conf`	Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. ICLR (Poster) Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh
2019	J	`jnl`	Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. CoRR Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh
2019	J	`jnl`	TAPER: Time-Aware Patient EHR Representation. CoRR Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
2019	J	`jnl`	Unsupervised Representation for EHR Signals and Codes as Patient Status Vector. CoRR Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh
2018	J	`jnl`	BNN+: Improved Binary Network Training. CoRR Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, Vahid Partovi Nia
2018	J	`jnl`	Dynamic Feature Acquisition Using Denoising Autoencoders. CoRR Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh
2017	J	`jnl`	Complex Event Processing of Health Data in Real-time to Predict Heart Failure Risk and Stress. CoRR Sandeep Singh Sandha, Mohammad Kachuee, Sajad Darabi
2017	—	`conf`	Context-aware feature query to improve the prediction performance. GlobalSIP Mohammad Kachuee, Anahita Hosseini, Babak Moatamed, Sajad Darabi, Majid Sarrafzadeh