Morteza Haghir Chehreghani Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik. morteza.chehreghani@chalmers.se +46317726415 Hitta till mig
JM Buhmann, MH Chehreghani, M Frank, AP Streich. Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 51-64, 2012. 18, 2012.
We develop a generalized framework wherein different Chalmers University of Technology Examiner: Morteza Haghir Chehreghani, Department of Computer Science and Engineering Master’sThesis2020 Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, Masoud Rahgozar: OInduced: An Efficient Algorithm for Mining Induced Patterns From Rooted Ordered Trees. 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.
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Mäkeläinen2, Filip Slottner Seholm1, and Morteza Haghir Chehreghani1. 1 Department of Computer Science and Engineering. Chalmers University of
Morteza har Associate Professor at Chalmers University of Technology. Chalmers University of TechnologyChalmers tekniska högskola / Chalmers University of Technology. Göteborg Morteza Haghir Chehreghani. Associate for machine learning and inference Oct 10th 2020 PM https://chalmers.instructure.com/courses/12768 Morteza Haghir Chehreghani. 0.
Modelling and optimization of energy management systems for plug-in hybrid vehicles. Read more about Frank-Wolfe Optimization for Dominant Set Clustering (ZOOM: https://chalmers.zoom.us/j/62497622669); Active Learning for Artificial Neural Networks
Morteza Haghir Chehreghani. 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 (*)
Morteza Haghir Chehreghani's 65 research works with 179 citations and 1,889 reads, including: A Unified Framework for Online Trip Destination Prediction
[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 …
Chalmers University of Technology - Cited by 575 - Artificial Intelligence - Machine Learning - Data Science
Morteza Haghir Chehreghani. Associate Professor, Data Science and AI division, Chalmers. morteza.chehreghani@chalmers.se. Subscribe to our newsletter.
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Prof. Sep 19, 2016 Morteza Haghir Chehreghani profile image Morteza Haghir Chalmers, R.C., Member, S., Almeroth, K.C.: On the topology of multicast trees. Chalmers University of Technology - Cited by 549 - Artificial Intelligence - Machine Learning - Data Science 2021年1月13日 Eberstein,Jonas Sjöblom,Nikolce Murgovski,Morteza Haghir Chehreghani. 机构:Jonas Sjoblom, Chalmers University of Technology, SE-, Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, Learning representations from dendrograms.
If you have any questions please contact academic supervisor Morteza Haghir Chehreghani at morteza.chehreghani@chalmers.se and
PhD Student of Computer Science, Chalmers University of Technology - Citerat av 7 A Rahbar, A Panahi, C Bhattacharyya, D Dubhashi, MH Chehreghani.
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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
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. Application deadline: 5th of November - 2020. For questions, please contact: Associate professor, Morteza Haghir Chehreghani Chalmers and GU students sign up via Ladok. Note, mandatory sign-up for exams for both Chalmers and GU students! (If you are not signed up you will not be allowed to enter the examination hall) If you have problems signing up, please send an email to student_office.cse@chalmers.se during the sign-up period!