Morteza Haghir Chehreghani Associate professor, Data Science and AI division, Department of Computer Science and Engineering. morteza.chehreghani@chalmers.se +46317726415 Find me
Morteza Haghir Chehreghani Associate professor, Data Science and AI division, Department of Computer Science and Engineering. morteza.chehreghani@chalmers.se +46317726415 Find me
* Morteza Haghir Chehreghani morteza.chehreghani@chalmers.se Mostafa Haghir Chehreghani mostafa.chehreghani@gmail.com 1 Department of Computer Science and Engineering, Chalmers … John Daniel Boss´er, Erik S orstadius, Morteza Haghir Chehreghani¨ Chalmers University of Technology, Sweden Abstract We study different data-centric and model-centric aspects of active learning with neural network models. i) We investi-gate incremental and cumulative training modes which spec-ify how the currently labeled data are used for Morteza Haghir Chehreghani Chalmers University of Technology Verified email at chalmers.se. View all. Follow. Euhanna Ghadimi.
Welcome to Chalmers AI Research Center, CHAIR Spotlight on Research. 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.
JM Buhmann, MH Chehreghani, M Frank, AP Streich. Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 51-64, 2012. 18, 2012.
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.
Read more about Active Learning for Artificial Neural Networks (Zoom link: https://chalmers.zoom.us/j/69556986938?pwd=TjFHTGhlNlJmRkRoMzVtNDBIRlBMUT09 password
Balázs Adam Kulcsár Automatic Control. Liang Dai Data Science. Sebastien Gros Automatic Control. Chalmers AI Research Centre (CHAIR) Chalmers. 2019–2022. Modelling and optimization of energy management systems for plug-in hybrid vehicles.
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Morteza Haghir Chehreghani. Docent vid Data- och informationsteknik.
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Xiaoliang Huang Elmaskiner och kraftelektronik. Morteza Haghir Chehreghani Data Science. Chalmers.
morteza.chehreghani@chalmers.se +46317726415 Hitta till mig
Read more about Active Learning for Artificial Neural Networks (Zoom link: https://chalmers.zoom.us/j/69556986938?pwd=TjFHTGhlNlJmRkRoMzVtNDBIRlBMUT09 password
Morteza Haghir Chehreghani's research while affiliated with Chalmers University of Technology and other places.
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Morteza Haghir Chehreghani Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik. morteza.chehreghani@chalmers.se +46317726415 Hitta till mig
IEEE Trans. Syst. Man Cybern. Part A 41 (5): 1013-1025 (2011) Carl Johnell, Morteza Haghir Chehreghani Chalmers University of Technology cjohnell@gmail.com, morteza.chehreghani@chalmers.se Abstract We study Frank-Wolfe algorithms – standard, pairwise, and away-steps – for efficient optimization of Dominant Set Clus-tering. We present a unified and computationally efficient Time Title Student(s) Examiner ; 14:00 - 15:00. Frank-Wolfe Optimization for Dominant Set Clustering (ZOOM: https://chalmers.zoom.us/j/62497622669) Morteza Haghir Chehreghani, Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden Abstract We propose a hierarchical correlation clustering method that extends the well-known correlation clustering to produce hierarchical clusters.
Morteza Haghir Chehreghani Data Science. Balázs Adam Kulcsár Automatic Control. Liang Dai Data Science. Sebastien Gros Automatic Control. Chalmers AI Research Centre (CHAIR) Chalmers. 2019–2022. Modelling and optimization of energy management systems for plug-in hybrid vehicles.
Morteza Haghir Chehreghani. Department of Computer Engineering. Chalmers University of Technology. Emilio Jorge.
Chalmers University of View Morteza Haghir Chehreghani's profile on Publons. Morteza Haghir Chehreghani.