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Alireza Koochali
Observed names:
A. Koochali,
Koochali, A.,
Koochali, Alireza
Institutions:
Ingenieurgesellschaft Auto und Verkehr (Germany),
German Research Centre for Artificial Intelligence,
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Observed institutions:
Ingenieurgesellschaft Auto und Verkehr (Germany),
University of Kaiserslautern,
German Research Centre for Artificial Intelligence,
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
ORCID:
0000-0001-7370-9369
Observed ORCID:
0000-0001-7370-9369
OpenAlex ID:
A5027568373
Probabilistic Forecasting of Sensory Data With Generative Adversarial Networks – ForGAN
2019
·
Alireza Koochali
, Peter Schichtel
, et al.
·
IEEE Access
·
103
PDF
If You Like It, GAN It—Probabilistic Multivariate Times Series Forecast with GAN
2021
·
Alireza Koochali
, Andreas Dengel
, et al.
·
International Conference on Time Series and Forecasting (ITISE)
·
39
PDF
Battle of Water Demand Forecasting
2025
·
S. Alvisi
, M. Franchini
, et al.
·
Journal of Water Resources Planning and Management
·
17
Quantifying quality of class-conditional generative models in time series domain
2023
·
Alireza Koochali
, Maria Walch
, et al.
·
Applied Intelligence
·
11
PDF
VAEneu: a new avenue for VAE application on probabilistic forecasting
2025
·
Alireza Koochali
, Ensiye Tahaei
, et al.
·
Applied Intelligence
·
10
A Bayesian Generative Adversarial Networks (GAN) to Generate Synthetic Time-Series Data, Application In Combined Sewer Flow Prediction
2022
·
Amin E. Bakhshipour
, Alireza Koochali
, et al.
·
Water Distribution Systems Analysis Conference (WDSA)
·
10
Which Languages do People Speak on Flickr? A Language and Geo-Location Study of the YFCC100m Dataset
2016
·
Alireza Koochali
, Sebastian Kalkowski
, et al.
·
10
Random Noise vs. State-of-the-Art Probabilistic Forecasting Methods: A Case Study on CRPS-Sum Discrimination Ability
2022
·
Alireza Koochali
, Peter Schichtel
, et al.
·
Applied Sciences
·
9
PDF
Water depth prediction in combined sewer networks, application of generative adversarial networks
2024
·
Alireza Koochali
, Amin E. Bakhshipour
, et al.
·
Discover Applied Sciences
·
5
PDF
Generative Adversarial Networks in Urban Water Management: A Review of Potentials, Theory and a Tailor-Made Application in Combined Sewerprediction
2023
·
Alireza Koochali
, Amin Ebrahim Bakhshipour
, et al.
·
SSRN Electronic Journal
·
5
An Ensemble Data-Driven Approach for Enhanced Short-Term Water Demand Forecasting in Urban Areas
2024
·
Amin E. Bakhshipour
, Hossein Namdari
, et al.
·
WDSA / CCWI Joint Conference Proceedings
·
4
CCATS: Moving Forward with Class-Conditional Time Series Generation
2025
·
Philipp Engler
, Alireza Koochali
, et al.
·
Lecture notes in computer science
·
2
Battle of Water Demand Forecasting
2025
·
Alvisi, S.
, Franchini, M.
, et al.
·
Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Class Conditional Time Series Generation with Structured Noise Space GAN
2023
·
Gholamrezaei, Hamidreza
, Koochali, Alireza
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
15
Citation count:
225
H-index:
8
I10-index:
7
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