[11] Morteza Haghir Chehreghani, Mostafa H. Chehreghani, “Modeling Transitivity in Complex Networks”, Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI), 2016. [12] 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

On the unreasonable effectiveness of knowledge distillation: Analysis in the kernel regime. A Rahbar, A Panahi, C Bhattacharyya, D Dubhashi, MH Chehreghani.

A Rahbar, E Jorge, D Dubhashi, MH Chehreghani. arXiv preprint arXiv:1905.05095, 2019. If you have any questions please contact academic supervisor Morteza Haghir Chehreghani at morteza.chehreghani@chalmers.se and Morteza Haghir Chehreghani (Chalmers). Maria Svedlund (Volvo Cars) maria.svedlund@volvocars.com.

The rapid increase of information on the web makes it necessary to improve information management techniques. One of the most important techniques is clustering web data. View the profiles of professionals named "Chehreghani" on LinkedIn. There are 40+ Abolghasem Chehreghani.

När fyller han år? Här finns födelsedag, namnsdag, adress och telefon på Morteza Haghir Chehreghani som bor på Doktor Hjorts gata 1 D i Göteborg. Morteza Haghir Chehreghani är född 1982 och firar sin födelsedag 23 februari.

Niklas Akerblom, Yuxin Chen, Morteza Haghir Chehreghani; In the 29th International Joint Conference on Artificial Intelligence (IJCAI), Virtual, 2020. [ bibtex] [pdf].

Morteza Haghir Chehreghani. NAVER LABS Europe. (formerly known as Xerox Research Centre Europe - XRCE) morteza.chehreghani@naverlabs.com. 23 feb 1982 Född 23 februari, 1982 - Morteza är ogift och skriven i bostadsrätt på Doktor Hjorts gata 1 D lgh 1303.

Morteza Haghir Chehreghani Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik. morteza.chehreghani@chalmers.se +46317726415 Hitta till mig

However, the capability of handling noisy sorting can be of a prominent importance, in particular in applications such Morteza Haghir Chehreghani, Faculty of Computer Engineering, Web Intelligence Laboratory, Department of Computer Engineering, Sharif University of Technology, Azadi 12/21/2018 ∙ by Morteza Haghir Chehreghani, et al. ∙ 0 ∙ share read it Novel Adaptive Algorithms for Estimating Betweenness, Coverage and k-path Centralities Filter by Year. OR AND NOT 1. 2007 An Online Learning Framework for Energy-Efﬁcient Navigation of Electric Vehicles Niklas Akerblom˚ 1;3, Yuxin Chen2 and Morteza Haghir Chehreghani3 1Volvo Car Corporation 2The University of Chicago 3Chalmers University of Technology niklas.akerblom@chalmers.se, chenyuxin@uchicago.edu, morteza.chehreghani@chalmers.se CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract. An important source of high clustering coefficient in real-world net-works is transitivity. However, existing approaches for modeling transitivity suf-fer from at least one of the following problems: i) they produce graphs from a specific class like bipartite graphs, ii) they do not give an analytical 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 2020-07-28 We propose unsupervised representation learning and feature extraction from dendrograms.

There will be no lecture and consultation on Tuesday Feb 2 due to the CHARM event. Contact details.
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∙ 0 ∙ share read it Novel Adaptive Algorithms for Estimating Betweenness, Coverage and k-path Centralities Alberto Giovanni Busetto 1;2, Morteza Haghir Chehreghani , Joachim M. Buhmann 1 Department of Computer Science, ETH Zurich, Zurich, Switzerland 2 Competence Center for Systems Physiology and Metabolic Diseases, Zurich, Switzerland ABSTRACT Models can be seen as mathematical tools aimed at pre-diction.

This section lists some basic information about the researcher such as Name, URL, Organization (that the researcher has been determined to be affiliated with most recently) and an optional description (About). Read more about Active Learning for Artificial Neural Networks (Zoom link: https://chalmers.zoom.us/j/69556986938?pwd=TjFHTGhlNlJmRkRoMzVtNDBIRlBMUT09 password Morteza Haghir Chehreghani Author page based on publicly available paper data. 1.
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När fyller han år? Här finns födelsedag, namnsdag, adress och telefon på Morteza Haghir Chehreghani som bor på Doktor Hjorts gata 1 D i Göteborg.

IEEE Trans. Syst. Man Cybern. Part A 41 (5): 1013-1025 (2011) Search for Morteza Haghir Chehreghani's work. Search Search. Home Morteza Haghir Chehreghani. Morteza Haghir Chehreghani.

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 …

∙ 0 ∙ share read it Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting 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). Morteza Haghir Chehreghani. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran, Mostafa Haghir Chehreghani. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran, Hassan Abolhassani. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran Morteza Haghir Chehreghani's 65 research works with 179 citations and 1,889 reads, including: A Unified Framework for Online Trip Destination Prediction Add open access links from to the list of external document links (if available).

Project with industry: Discovering novel chemical reactions through applying machine learning on knowledge graphs (*) Read more about Project with industry: Discovering novel chemical reactions through applying machine learning on knowledge graphs (*) poster Poster session as author at New Frontiers in Model Order Selection, together with: Alexandre Lacoste, Nicolas Baskiotis, Stefan Kremer, Aurélie Boisbunon, Yuri Grinberg, Amir-massoud Farahmand, Marina Sapir, Mohammad Ghavamzadeh, Yevgeny Seldin, 4355 views Morteza Haghir Chehreghani is this you? claim profile ∙ 0 followers Chalmers University of Technology Research Scientist at Xerox Research Center Europe ( NAVER LABS Europe), PhD Student at ETH Zurich from 2008-2013. Featured Co-authors. Andreas Krause Add open access links from to the list of external document links (if available).