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. Optimization Machine Learning Network optimization Wireless Networks. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by

Read more about Frank-Wolfe Optimization for Dominant Set Clustering (ZOOM: https://chalmers.zoom.us/j/62497622669); Active Learning for Artificial Neural Networks

Joachim M. Buhmann. Morteza Haghir Chehreghani Data Science. Chalmers. 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. morteza.chehreghani@chalmers.se +46317726415 Hitta till mig Read more about Active Learning for Artificial Neural Networks (Zoom link: https://chalmers.zoom.us/j/69556986938?pwd=TjFHTGhlNlJmRkRoMzVtNDBIRlBMUT09 password Morteza Haghir Chehreghani's research while affiliated with Chalmers University of Technology and other places. Morteza Haghir Chehreghani's research.

(MLJ) 109(9-10), pp. 1779- 1802, 2020. Mäkeläinen2, Filip Slottner Seholm1, and Morteza Haghir Chehreghani1. 1 Department of Computer Science and Engineering.

Chalmers University of Technology - ‪‪Cited by 549‬‬ - ‪Artificial Intelligence‬ - ‪ Machine Learning‬ - ‪Data Science‬

Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 51-64, 2012. 18, 2012. Chalmers University of Technology (10/2020). - Statistics Colloquium (3) Niklas Akerblom, Yuxin Chen, Morteza Haghir Chehreghani.

Jul 28, 2020 Open access funding provided by Chalmers University of Technology. This work was Correspondence to Morteza Haghir Chehreghani.

Se Morteza Haghir Chehreghanis profil på LinkedIn, världens största yrkesnätverk. Morteza har Associate Professor at Chalmers University of Technology. Chalmers University of TechnologyChalmers tekniska högskola / Chalmers University of Technology.

Part A 41 (5): 1013-1025 (2011) Time Title Student(s) Examiner ; 14:00 - 15:00. Frank-Wolfe Optimization for Dominant Set Clustering (ZOOM: https://chalmers.zoom.us/j/62497622669) 1 2 3 4 c1 1 c1 2 c2 1 1 2 Input layer Concept layer1 Concept layer2 Output layer Dynamic Network Architectures for Deep Q-Learning Modelling Neurogenesis in Generation of Driving Scenario Trajectories with Generative Adversarial Networks Andreas Demetriou, Henrik Allsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani. itsc 2020: 1-6 [doi] Accelerated proximal incremental algorithm schemes for non-strongly convex functions Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi. Comparative Study on Optimization Methods for Correlation Clustering Master’s thesis in Computer science and engineering DRIKVY V. CAPPENBERG Department of Computer Science and Engineering Online Learning for Energy Efﬁcient Navigation using Contextual Information Master’s thesis in Computer science and engineering YONCA YUNATCI We analyze the general behavior of agglomerative clustering methods, and argue that their strategy yields establishment of a new reliable linkage at each step. However, in order to provide adaptive, density-consistent and flexible solutions, we propose to extract all the reliable linkages at each step, instead of the smallest one. This leads to a new agglomerative clustering strategy, called Morteza Haghir Chehreghani, Hassan Abolhassani and Mostafa Haghir Chehreghani, Attaining higher quality for density based data mining algorithms, International Conference on Web Reasoning and Rule Systems , Springer Lecture Notes in Computer Sciences, vol. 4524, pp.
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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.

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.
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12/20/2018 ∙ by Morteza Haghir Chehreghani, et al. ∙ 0 ∙ share read it Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting

Optimization Machine Learning Network optimization Wireless Networks. Articles Cited by Public access Co-authors. Title. Sort. 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.

Chalmers University of Technology (10/2020). - Statistics Colloquium (3) Niklas Akerblom, Yuxin Chen, Morteza Haghir Chehreghani. An Online Learning

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 subjetct: Adaptive Information Acquisition Morteza Haghir Chehreghani Adaptive Information Acquisition and Sequential Decision Making in AI 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.

PhD Student of Computer Science, Chalmers University of Technology - ‪‪Citerat av 7‬‬ A Rahbar, A Panahi, C Bhattacharyya, D Dubhashi, MH Chehreghani. 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. Morteza Haghir Chehreghani (Chalmers). Maria Svedlund (Volvo Cars) maria.svedlund@volvocars.com.