Sep 22, 2020 From: Morteza Haghir Chehreghani [view email] [v1] Tue, 22 Sep 2020 21:58:03 UTC (1,600 KB) [v2] Thu, 8 Oct 2020 22:09:41 UTC (1,600 KB).

Morteza Haghir Chehreghani1 · Mostafa Haghir Chehreghani2 Received: 11 November 2019 / Revised: 11 May 2020 / Accepted: morteza.chehreghani@chalmers.se

morteza.chehreghani@chalmers.se +46317726415 Find me 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. Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10772, p.

Morteza haghir chehreghani

Page 2. Buhmann Chehreghani Frank Streich function or cost of Kernel and Neural Embeddings: Optimization and Generalization. A Rahbar, E Jorge, D Dubhashi, MH Chehreghani. arXiv preprint arXiv:1905.05095, 2019.

Data & Knowledge Engineering Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann to interpret a second data set X(2), i.e., to compute its costs. The principle selects the. Niklas Akerblom, Yuxin Chen, Morteza Haghir Chehreghani; In the 29th International Joint Conference on Artificial Intelligence (IJCAI), Virtual, 2020.

Morteza Haghir Chehreghani's 65 research works with 179 citations and 1,889 reads, including: A Unified Framework for Online Trip Destination Prediction

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 Trip destination prediction is an area of increasing importance in many applications such as trip planning, autonomous driving and electric vehicles. Morteza Haghir Chehreghani Abstract We study Minimax distance measures for K-nearest neighbor search and classiﬁcation. Recently, the use of this distance measure is shown to improve the K-nearest neighbor classiﬁcation results.

Morteza Haghir Chehreghani∗. Xerox Research Centre Europe - XRCE. 6-8 Chemin de Maupertuis. 38240 Meylan, France morteza.chehreghani@xrce.xerox .

Docent vid Data- och informationsteknik. Länk till personlig sida.

Most frequent co-Author Haghir Chehreghani, M., Haghir Chehreghani, M. (2020) Learning representations from dendrograms Machine Learning, 109(9-10): 1779-1802 Morteza Haghir Chehreghani1 · Mostafa Haghir Chehreghani2 Received: 11 November 2019 / Revised: 11 May 2020 / Accepted: 6 July 2020 [1] Morteza Haghir Chehreghani, “Classification with Minimax Distance Measures”, Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017. [2] Morteza Haghir Chehreghani, “K-Nearest Neighbor Search and Outlier Detection via Minimax Distances”, SIAM … Main Page General info . 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).Note that the organization, like the affiliation history, is determined from the affiliation of the researcher's papers and may not always be accurate.
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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).

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Attaining Higher Quality for Density Based Algorithms Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani. rr 2007 : 329-338 [doi] Mining Maximal Embedded Unordered Tree Patterns Mostafa Haghir Chehreghani , Masoud Rahgozar , Caro Lucas , Morteza Haghir Chehreghani .

Docent vid Chalmers Morteza Haghir Chehreghani1 · Mostafa Haghir Chehreghani2 Received: 11 November 2019 / Revised: 11 May 2020 / Accepted: morteza.chehreghani@chalmers.se [1] Morteza Haghir Chehreghani, “Classification with Minimax Distance Measures”, Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017. [2] Morteza Haghir Chehreghani, “K-Nearest Neighbor Search and Outlier Detection via Minimax Distances”, SIAM International Conference on Data Mining (SDM), 2016.

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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 Abstract Energy-efﬁcient navigation constitutes an impor-tant challenge in electric vehicles, due to their lim-

First, we adapt the Recurrent Conditional Generative Adversarial Networks (RC-GAN) by conditioning on the length of the We propose unsupervised representation learning and feature extraction from dendrograms. The commonly used Minimax distance measures correspond to building a dendrogram with single linkage criterion, with defining specific forms of a level function and a distance function over that. Therefore, we extend this method to arbitrary dendrograms. We develop a generalized framework wherein different BibTeX @MISC{Buhmann_workshopon, author = {Joachim M. Buhmann and Morteza Haghir Chehreghani and Mario Frank and Andreas P. Streich and I. Guyon and G. Dror and V. Lemaire and G. Taylor and D. Silver}, title = {Workshop on Unsupervised and Transfer Learning Information Theoretic Model Selection for Pattern Analysis}, year = {}} BibTeX @MISC{Chehreghani_modelingtransitivity, author = {Morteza Haghir Chehreghani and Mostafa Haghir Chehreghani}, title = {Modeling Transitivity in Complex Networks}, year = {}} Morteza Haghir Chehreghani 1 · Mostafa Haghir Chehreghani 2 Received: 11 November 2019 / Revised: 11 May 2020 / Accepted: 6 July 2020 / Published online: 16 August 2020 Enter the password that accompanies your username. Forgot your password? Contact.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We consider sorting data in noisy conditions. Whereas sorting itself is a well studied topic, ordering items when the comparisons between objects can suffer from noise is a rarely addressed question. However, the capability of handling noisy sorting can be of a prominent importance, in particular in applications such

Morteza Haghir Chehreghani. Alberto Giovanni Busetto. Joachim M. Buhmann. ETH Zurich morteza.chehreghani@inf.ethz.ch. ETH Zurich and CC-SPMD, Zurich .

Morteza har angett 3 jobb i sin profil. Se hela profilen på LinkedIn, se Mortezas kontakter och hitta jobb på liknande företag. Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10772, p. 466-478 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).