Frank-WolfeOptimizationforDominantSetClustering CARLJOHNELL DepartmentofComputerScienceandEngineering ChalmersUniversityofTechnologyandUniversityofGothenburg Abstract

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

Maria Svedlund (Volvo Cars) maria.svedlund@volvocars.com. For more general questions you could contact hiring Information about the department and the division The Department of Computer Science and Engineering is a joint department at Chalmers University of 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. 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 har angett 3 jobb i sin profil. Se hela profilen på LinkedIn, se Mortezas kontakter och hitta jobb på liknande företag. Morteza Haghir Chehreghani. Project with industry: Discovering novel chemical reactions through applying machine learning on knowledge graphs (*) Read more about Active Learning for Artificial Neural Networks (Zoom link: https://chalmers.zoom.us/j/69556986938?pwd=TjFHTGhlNlJmRkRoMzVtNDBIRlBMUT09 password Morteza Haghir Chehreghani's 65 research works with 179 citations and 1,889 reads, including: A Unified Framework for Online Trip Destination Prediction ‪Chalmers University of Technology‬ - ‪Cited by 575‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Data Science‬ [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. 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.

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.

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Chalmers University PhD student. Chalmers University (chalmers .se) Emilio Jorge, Morteza Haghir Chehreghani, Devdatt Dubhashi.

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! General information: DC Field Value Language; dc.contributor.author: Carlström, Herman-dc.contributor.author: Slottner Seholm, Filip-dc.contributor.department: Chalmers tekniska Frank-WolfeOptimizationforDominantSetClustering CARLJOHNELL DepartmentofComputerScienceandEngineering ChalmersUniversityofTechnologyandUniversityofGothenburg Abstract Request PDF | A Unified Framework for Online Trip Destination Prediction | Trip destination prediction is an area of increasing importance in many applications such as trip planning, autonomous Morteza Haghir Chehreghani Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik. morteza.chehreghani@chalmers.se +46317726415 Hitta till mig Morteza Haghir Chehreghani Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik. morteza.chehreghani@chalmers.se +46317726415 Hitta till mig Morteza Haghir Chehreghani Associate professor, Data Science and AI division, Department of Computer Science and Engineering. morteza.chehreghani@chalmers.se +46317726415 Find me Chalmers forskningsinformation, projekt och publikationer för Morteza Haghir Chehreghani [12] Morteza Haghir Chehreghani, Mostafa H. Chehreghani, “Modeling Transitivity in Complex Networks”, Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI), 2016.
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[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.

There might be more projects where Morteza Haghir Chehreghani participates, but you have to be logged in as a Chalmers employee to see them. 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 Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik.
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Morteza Haghir Chehreghani. 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. from ETH Zurich in 2014, where I worked at the Machine Learning Institute under the supervision of

Källa: chalmers.se. Kontaktuppgifter. Image of Morteza Haghir Morteza Haghir Chehreghani. Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik.

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Morteza Haghir Chehreghani. Associate Professor, Data Science and AI division, Chalmers. morteza.chehreghani@chalmers.se. Subscribe to our newsletter.

Recently, the use of this distance measure is shown to improve the K-nearest neighbor classiﬁcation results.