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2020 – today
- 2023
[i14]Jan Baczek, Dmytro Zhylko, Gilberto Titericz, Sajad Darabi, Jean-Francois Puget, Izzy Putterman, Dawid Majchrowski, Anmol Gupta, Kyle Kranen, Pawel Morkisz:
TSPP: A Unified Benchmarking Tool for Time-series Forecasting. CoRR abs/2312.17100 (2023)- 2022
- [j3]Mohammad Kachuee
, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh:
Generative Imputation and Stochastic Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1278-1288 (2022) - [i13]Sajad Darabi, Piotr Bigaj, Dawid Majchrowski, Pawel Morkisz, Alex Fit-Florea:
A Framework for Large Scale Synthetic Graph Dataset Generation. CoRR abs/2210.01944 (2022) - [i12]Sajad Darabi, Shayan Fazeli, Jiwei Liu, Alexandre Milesi, Pawel Morkisz, Jean-François Puget, Gilberto Titericz:
Heterogenous Ensemble of Models for Molecular Property Prediction. CoRR abs/2211.11035 (2022) - 2021
- [b1]Sajad Darabi:
Deep Unsupervised & Semi-supervised Methods for Health Applications. University of California, Los Angeles, USA, 2021 - [i11]Sajad Darabi, Yotam Elor:
Synthesising Multi-Modal Minority Samples for Tabular Data. CoRR abs/2105.08204 (2021) - [i10]Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh:
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain. CoRR abs/2108.12296 (2021) - 2020
- [j2]Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh:
TAPER: Time-Aware Patient EHR Representation. IEEE J. Biomed. Health Informatics 24(11): 3268-3275 (2020)
2010 – 2019
- 2019
- [j1]Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh:
Dynamic Feature Acquisition Using Denoising Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2252-2262 (2019) - [c3]Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia:
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks. ICIAR (2) 2019: 3-14 - [c2]Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh:
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. ICLR (Poster) 2019 - [i9]Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh:
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. CoRR abs/1901.00243 (2019) - [i8]Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia:
Foothill: A Quasiconvex Regularization Function. CoRR abs/1901.06414 (2019) - [i7]Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh:
Generative Imputation and Stochastic Prediction. CoRR abs/1905.09340 (2019) - [i6]Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh:
TAPER: Time-Aware Patient EHR Representation. CoRR abs/1908.03971 (2019) - [i5]Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh:
Unsupervised Representation for EHR Signals and Codes as Patient Status Vector. CoRR abs/1910.01803 (2019) - [i4]Mohammad Kachuee, Sajad Darabi, Shayan Fazeli, Majid Sarrafzadeh:
Group-Connected Multilayer Perceptron Networks. CoRR abs/1912.09600 (2019) - 2018
- [i3]Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh:
Dynamic Feature Acquisition Using Denoising Autoencoders. CoRR abs/1811.01249 (2018) - [i2]Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, Vahid Partovi Nia:
BNN+: Improved Binary Network Training. CoRR abs/1812.11800 (2018) - 2017
- [c1]Mohammad Kachuee, Anahita Hosseini, Babak Moatamed, Sajad Darabi, Majid Sarrafzadeh:
Context-aware feature query to improve the prediction performance. GlobalSIP 2017: 838-842 - [i1]Sandeep Singh Sandha, Mohammad Kachuee, Sajad Darabi:
Complex Event Processing of Health Data in Real-time to Predict Heart Failure Risk and Stress. CoRR abs/1707.04364 (2017)
Coauthor Index
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