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Morteza Haghir Chehreghani Chalmers

Chalmers University of Technology ∙ AUT 2 years ago ∙ by Morteza Haghir Chehreghani, Jul 28, 2020 Open access funding provided by Chalmers University of Technology. This work was Correspondence to Morteza Haghir Chehreghani. Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani Energy-efficient navigation constitutes an important challenge in electric vehicles, due to their limited Sep 25, 2020 sadegh.rahrovani@volvocars.com. Morteza Haghir Chehreghani. Department of Computer Engineering. Chalmers University of Technology.

M. orteza Ha. ghir. Chehreghani. I am an Associate Professor in Machine Learning and Artificial Intelligence at the Department of Computer Science and Engineering, Chalmers University of Technology. I obtained my Ph.D.

Morteza Haghir Chehreghani - Associate Professor - LinkedIn

Morteza Haghir Chehreghani (academic supervisor) morteza.chehreghani@chalmers.se; Sadegh Rahrovani, (industrial supervisor) sadegh.rahrovani@volvocars.com; Martin Magnusson (Group manager at VolvoCars), martin.m.magnusson@volvocars.com (*) The project is taken and will be conducted by students during spring 2021 Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES … Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, Masoud Rahgozar: OInduced: An Efficient Algorithm for Mining Induced Patterns From Rooted Ordered Trees. IEEE Trans.

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In this series of AI short talks Morteza Haghir Chehreghani Associate Professor at Data Science and AI division, Department of Computer Science and Engineering at Chalmers, will handle the subjetct: Adaptive Information Acquisition Morteza Haghir Chehreghani bor i en bostadsrätt på Doktor Hjorts gata 1 D lgh 1303 i postorten Göteborg i Göteborgs kommun. Området där han bor tillhör Göteborgs Annedals församling. På adressen finns en person folkbokförd, Morteza Haghir Chehreghani (39 år). Morteza Haghir Chehreghani is Associate Professor of AI and Machine Learning at Chalmers University of Technology, Department of Computer Science and Engineering, Data Science and AI division. He holds a Ph.D. in Computer Science (AI/Machine Learning group) from ETH Zurich (2014).

Chalmers University of Technology (10/2020). - Statistics Colloquium (3) Niklas Akerblom, Yuxin Chen, Morteza Haghir Chehreghani.
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[13] Mostafa H. Chehreghani, Morteza Haghir Chehreghani , “Transactional Tree Mining” , European Conference on Machine Learning and Principles and Practice of Knowledge Discovery ( ECML / PKDD ) , (1) 182 Chalmers Research Information, research projects and publications for Morteza Haghir Chehreghani Se Morteza Haghir Chehreghanis profil på LinkedIn, världens största yrkesnätverk. Morteza har angett 3 jobb i sin profil. Se hela profilen på LinkedIn, se Mortezas kontakter och hitta jobb på liknande företag.

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Sort by citations Sort by year Sort by Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. Read more about working at Chalmers and our benefits for employees. Application procedure Read more at Chalmers webpage.

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Morteza Haghir Chehreghani - Chalmers Research

I obtained my Ph.D. from ETH Zurich in 2014, where I worked at the Machine Learning Institute under the supervision of Yujing Liu Elmaskiner och kraftelektronik. Xiaoliang Huang Elmaskiner och kraftelektronik. Morteza Haghir Chehreghani Data Science. Chalmers. Det kan finnas fler projekt där Morteza Haghir Chehreghani medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem. Morteza Haghir Chehreghani Data Science.

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in Computer Science (AI/Machine Learning group) from ETH Zurich (2014). Add open access links from to the list of external document links (if available). load links from unpaywall.org. Privacy notice: By enabling the option above, your Morteza Haghir Chehreghani1 · Mostafa Haghir Chehreghani2 Received: 11 November 2019 / Revised: 11 May 2020 / Accepted: morteza.chehreghani@chalmers.se Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, p. 5159-5166 Morteza Haghir Chehreghani (academic supervisor) morteza.chehreghani@chalmers.se; Sadegh Rahrovani, (industrial supervisor) sadegh.rahrovani@volvocars.com; Martin Magnusson (Group manager at VolvoCars), martin.m.magnusson@volvocars.com (*) The project is taken and will be conducted by students during spring 2021 Chalmers University of Technology Examiner: Morteza Haghir Chehreghani, Department of Computer Science and Engineering Master’sThesis2019 There have been a number of recent advances in accelerated gradient and proximal schemes for optimization of convex finite sum problems. Defazio introduced a simple accelerated scheme for incremental stochastic proximal algorithms inspired by gradient based methods like SAGA.

Ericsson AB, Sweden. Verified email at ericsson.com. Optimization Machine Learning Network optimization Wireless Networks. Articles Cited by Public access Co-authors. Title. Sort.