‪Arman Rahbar‬ - ‪Google Scholar‬

Thesis Work - Driving Scenario Analysis & Annotation with

Docent vid Data- och informationsteknik. Länk till personlig sida. Källa: chalmers.se. Kontaktuppgifter. Image of Morteza Haghir  Morteza Haghir Chehreghani. Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik. Se Morteza Haghir Chehreghanis profil på LinkedIn, världens största yrkesnätverk.

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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. Ericsson AB, Sweden. Verified email at ericsson.com.

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Området där han bor tillhör Göteborgs Annedals församling. På adressen finns en person folkbokförd, Morteza Haghir Chehreghani (39 år). 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 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 … Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, Masoud Rahgozar: OInduced: An Efficient Algorithm for Mining Induced Patterns From Rooted Ordered Trees. IEEE Trans.

‪Arman Rahbar‬ - ‪Google Scholar‬

PhD Student of Computer Science, Chalmers University of Technology - ‪‪Citerat av 7‬‬ A Rahbar, A Panahi, C Bhattacharyya, D Dubhashi, MH Chehreghani. JM Buhmann, MH Chehreghani, M Frank, AP Streich.

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 Yujing Liu Elmaskiner och kraftelektronik.
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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. We then investigate Chalmers University of Technology University of Gothenburg Gothenburg,Sweden2019. Supervisor: Morteza Haghir Chehreghani, Department of Computer Science and Ashkan Panahi ashkan.panahi@chalmers.se Arman Rahbar armanr@chalmers.se Morteza Haghir Chehreghani morteza.chehreghani@chalmers.se Devdatt Dubhashi dubhashi@chalmers.se Department of Computer Science and Engineering Chalmers University of Technology Gothenburg, Sweden Hamid Krim ahk@ncsu.edu Department of Electrical Engineering North Carolina 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- 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 .

(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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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 … 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 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.

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.
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Morteza Haghir Chehreghani Chalmers

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