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ORCIDMorteza Haghir Chehreghani
Morteza H. Chehreghani – Morteza Haghir Cheraghani
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- affiliation: Chalmers University of Technology, Sweden
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Journal Articles
- 2026
[j28]Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani:
Tactical decision making for autonomous trucks by deep reinforcement learning with total cost of operation based reward. Artif. Intell. Rev. 59(1): 27 (2026)- 2025
- [j27]Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Mining transactional tree databases under homeomorphism. J. Supercomput. 81(4): 530 (2025) - [j26]Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani:
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach. Trans. Mach. Learn. Res. 2025 (2025) - 2024
- [j25]Peter Samoaa
, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani:
A unified active learning framework for annotating graph data for regression tasks. Eng. Appl. Artif. Intell. 138: 109383 (2024) - [j24]Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Utilizing reinforcement learning for de novo drug design. Mach. Learn. 113(7): 4811-4843 (2024) - [j23]Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani:
Online Learning Models for Vehicle Usage Prediction During COVID-19. IEEE Trans. Intell. Transp. Syst. 25(8): 9387-9396 (2024) - [j22]Linus Aronsson, Morteza Haghir Chehreghani:
Correlation Clustering with Active Learning of Pairwise Similarities. Trans. Mach. Learn. Res. 2024 (2024) - [j21]Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani:
Tree Ensembles for Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j20]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
Online learning of energy consumption for navigation of electric vehicles. Artif. Intell. 317: 103879 (2023) - [j19]Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani:
Online learning of network bottlenecks via minimax paths. Mach. Learn. 112(1): 131-150 (2023) - [j18]Morteza Haghir Chehreghani:
Shift of pairwise similarities for data clustering. Mach. Learn. 112(6): 2025-2051 (2023) - [j17]Arman Rahbar, Emilio Jorge, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
Do Kernel and Neural Embeddings Help in Training and Generalization? Neural Process. Lett. 55(2): 1681-1695 (2023) - [j16]Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi, Ahmad Nickabadi, Morteza Haghir Chehreghani:
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction. Neural Process. Lett. 55(6): 6979-6995 (2023) - [j15]Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani:
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories. SN Comput. Sci. 4(3): 251 (2023) - [j14]Niklas Åkerblom, Morteza Haghir Chehreghani:
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j13]Sanna Jarl, Linus Aronsson, Sadegh Rahrovani, Morteza Haghir Chehreghani:
Active learning of driving scenario trajectories. Eng. Appl. Artif. Intell. 113: 104972 (2022) - [j12]Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani:
A unified framework for online trip destination prediction. Mach. Learn. 111(10): 3839-3865 (2022) - 2020
- [j11]Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani:
Learning representations from dendrograms. Mach. Learn. 109(9-10): 1779-1802 (2020) - [j10]Morteza Haghir Chehreghani:
Unsupervised representation learning with Minimax distance measures. Mach. Learn. 109(11): 2063-2097 (2020) - [j9]Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi:
Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theor. Comput. Sci. 812: 203-213 (2020) - 2016
- [j8]Morteza Haghir Chehreghani:
Adaptive trajectory analysis of replicator dynamics for data clustering. Mach. Learn. 104(2-3): 271-289 (2016) - 2012
- [j7]Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, Hassan Abolhassani:
Probabilistic Heuristics for Hierarchical Web Data Clustering. Comput. Intell. 28(2): 209-233 (2012) - 2011
- [j6]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) - 2009
- [j5]Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani:
Density link-based methods for clustering web pages. Decis. Support Syst. 47(4): 374-382 (2009) - [j4]Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, Masoud Rahgozar, Euhanna Ghadimi:
Efficient rule based structural algorithms for classification of tree structured data. Intell. Data Anal. 13(1): 165-188 (2009) - 2008
- [j3]Mehrdad Mahdavi, Morteza Haghir Chehreghani, Hassan Abolhassani, Rana Forsati:
Novel meta-heuristic algorithms for clustering web documents. Appl. Math. Comput. 201(1-2): 441-451 (2008) - [j2]Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani:
Improving density-based methods for hierarchical clustering of web pages. Data Knowl. Eng. 67(1): 30-50 (2008) - 2007
- [j1]Mostafa Haghir Chehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani:
A heuristic algorithm for clustering rooted ordered trees. Intell. Data Anal. 11(4): 355-376 (2007)
Conference and Workshop Papers
- 2025
- [c45]Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani:
Bayesian Analysis of Combinatorial Gaussian Process Bandits. ICLR 2025 - [c44]Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Diversity-Aware Reinforcement Learning for de novo Drug Design. IJCAI 2025: 9194-9204 - 2024
- [c43]Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani:
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification. CIKM 2024: 3782-3786 - [c42]Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani:
Hierarchical Correlation Clustering and Tree Preserving Embedding. CVPR 2024: 23083-23093 - 2023
- [c41]Simon Johansson, Ola Engkvist, Morteza Haghir Chehreghani, Alexander Schliep:
Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes. IEEE Big Data 2023: 5260-5265 - [c40]Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani:
Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning. IEEE Big Data 2023: 5321-5329 - [c39]Zahra Moteshaker Arani, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Non-uniform Sampling Methods for Large Itemset Mining. IEEE Big Data 2023: 5714-5722 - [c38]Peter Samoaa, Linus Aronsson, Philipp Leitner, Morteza Haghir Chehreghani:
Batch Mode Deep Active Learning for Regression on Graph Data. IEEE Big Data 2023: 5904-5913 - [c37]Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Hamid Krim:
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. ICML 2023: 28549-28577 - [c36]Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. IJCAI 2023: 4163-4171 - 2022
- [c35]Mahdi Ghanbari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Graph Clustering Using Node Embeddings: An Empirical Study. IEEE Big Data 2022: 5488-5493 - [c34]Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Autonomous Drug Design with Multi-Armed Bandits. IEEE Big Data 2022: 5584-5592 - [c33]Sara Asghari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
On Using Node Indices and Their Correlations for Fake Account Detection. IEEE Big Data 2022: 5656-5661 - [c32]Carl Johnell, Morteza Haghir Chehreghani:
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms. CIKM 2022: 915-924 - [c31]Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
Analysis of Knowledge Transfer in Kernel Regime. CIKM 2022: 1615-1624 - [c30]Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani:
Passive and Active Learning of Driver Behavior from Electric Vehicles. ITSC 2022: 929-936 - [c29]Yuxin Chen, Morteza Haghir Chehreghani:
Trip Prediction by Leveraging Trip Histories from Neighboring Users. ITSC 2022: 967-973 - [c28]Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani:
Memory-Efficient Minimax Distance Measures. PAKDD (1) 2022: 419-431 - [c27]Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner:
TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks. PROFES 2022: 464-479 - 2021
- [c26]John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani:
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks. IEEE BigData 2021: 5053-5062 - [c25]Masoud Malek, Mostafa Haghir Chehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani:
Shallow Node Representation Learning using Centrality Indices. IEEE BigData 2021: 5209-5214 - [c24]Morteza Haghir Chehreghani:
Reliable Agglomerative Clustering. IJCNN 2021: 1-8 - [c23]Fazeleh Sadat Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani:
Vehicle Motion Trajectories Clustering via Embedding Transitive Relations. ITSC 2021: 1314-1321 - 2020
- [c22]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. IJCAI 2020: 2051-2057 - [c21]Andreas Demetriou, Henrik Allsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani:
Generation of Driving Scenario Trajectories with Generative Adversarial Networks. ITSC 2020: 1-6 - 2019
- [c20]Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi:
A Non-Convex Optimization Approach to Correlation Clustering. AAAI 2019: 5159-5166 - [c19]Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani:
Lifelong Learning Starting from Zero. AGI 2019: 188-197 - 2018
- [c18]Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Efficient Context-Aware K-Nearest Neighbor Search. ECIR 2018: 466-478 - 2017
- [c17]Morteza Haghir Chehreghani:
Classification with Minimax Distance Measures. AAAI 2017: 1784-1790 - [c16]Morteza Haghir Chehreghani:
Feature-Oriented Analysis of User Profile Completion Problem. ECIR 2017: 304-316 - [c15]Morteza Haghir Chehreghani:
Clustering by Shift. ICDM 2017: 793-798 - [c14]Morteza Haghir Chehreghani:
Efficient Computation of Pairwise Minimax Distance Measures. ICDM 2017: 799-804 - [c13]Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause:
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. UAI 2017 - 2016
- [c12]Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Transactional Tree Mining. ECML/PKDD (1) 2016: 182-198 - [c11]Morteza Haghir Chehreghani:
K-Nearest Neighbor Search and Outlier Detection via Minimax Distances. SDM 2016: 405-413 - [c10]Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani:
Modeling Transitivity in Complex Networks. UAI 2016 - 2013
- [c9]Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann:
Approximate Sorting. GCPR 2013: 142-152 - 2012
- [c8]Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann:
The information content in sorting algorithms. ISIT 2012: 2746-2750 - [c7]Joachim M. Buhmann, Morteza Haghir Chehreghani, Mario Frank, Andreas P. Streich:
Information Theoretic Model Selection for Pattern Analysis. ICML Unsupervised and Transfer Learning 2012: 51-64 - [c6]Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann:
Information Theoretic Model Validation for Spectral Clustering. AISTATS 2012: 495-503 - 2011
- [c5]Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann:
The Minimum Transfer Cost Principle for Model-Order Selection. ECML/PKDD (1) 2011: 423-438 - 2007
- [c4]Morteza Haghir Chehreghani, Hassan Abolhassani:
H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks. ADMA 2007: 616-624 - [c3]Mostafa Haghir Chehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani:
Mining Maximal Embedded Unordered Tree Patterns. CIDM 2007: 437-443 - [c2]Mostafa Haghir Chehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani:
Clustering Rooted Ordered Trees. CIDM 2007: 450-455 - [c1]Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani:
Attaining Higher Quality for Density Based Algorithms. RR 2007: 329-338
Informal and Other Publications
- 2025
- [i55]Jack Sandberg, Morteza Haghir Chehreghani:
Efficient Prior Selection in Gaussian Process Bandits with Thompson Sampling. CoRR abs/2502.01226 (2025) - [i54]Linus Aronsson, Morteza Haghir Chehreghani:
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks. CoRR abs/2502.02197 (2025) - [i53]Arman Rahbar, Linus Aronsson, Morteza Haghir Chehreghani:
A Survey on Active Feature Acquisition Strategies. CoRR abs/2502.11067 (2025) - [i52]Peter Samoaa, Marcus Vukojevic, Morteza Haghir Chehreghani, Antonio Longa:
A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants. CoRR abs/2505.23875 (2025) - [i51]Hampus Gummesson Svensson, Ola Engkvist, Jon Paul Janet, Christian Tyrchan, Morteza Haghir Chehreghani:
Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design. CoRR abs/2506.21158 (2025) - [i50]Filip Rydin, Attila Lischka, Jiaming Wu, Morteza Haghir Chehreghani, Balázs Kulcsár:
Learning to Solve Multi-Objective Routing Problems on Multigraphs. CoRR abs/2506.22095 (2025) - [i49]Fangting Zhou, Attila Lischka, Balázs Kulcsár, Jiaming Wu, Morteza Haghir Chehreghani, Gilbert Laporte:
Learning for routing: A guided review of recent developments and future directions. CoRR abs/2507.00218 (2025) - [i48]Valter Schütz, Han Wu, Reza Rezvan, Linus Aronsson, Morteza Haghir Chehreghani:
AFABench: A Generic Framework for Benchmarking Active Feature Acquisition. CoRR abs/2508.14734 (2025) - [i47]Linus Aronsson, Han Wu, Morteza Haghir Chehreghani:
Cold-Start Active Correlation Clustering. CoRR abs/2509.25376 (2025) - 2024
- [i46]Linus Aronsson, Morteza Haghir Chehreghani:
Effective Acquisition Functions for Active Correlation Clustering. CoRR abs/2402.03587 (2024) - [i45]Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani:
Tree Ensembles for Contextual Bandits. CoRR abs/2402.06963 (2024) - [i44]Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani:
Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward. CoRR abs/2403.06524 (2024) - [i43]Attila Lischka, Jiaming Wu, Rafael Basso, Morteza Haghir Chehreghani, Balázs Kulcsár:
Less Is More - On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP. CoRR abs/2403.17159 (2024) - [i42]Peter Samoaa, Mehrdad Farahani, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani:
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks. CoRR abs/2406.11437 (2024) - [i41]Attila Lischka, Jiaming Wu, Morteza Haghir Chehreghani, Balázs Kulcsár:
A GREAT Architecture for Edge-Based Graph Problems Like TSP. CoRR abs/2408.16717 (2024) - [i40]Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Diversity-Aware Reinforcement Learning for de novo Drug Design. CoRR abs/2410.10431 (2024) - [i39]Kilian Freitag, Kristian Ceder, Rita Laezza, Knut Åkesson, Morteza Haghir Chehreghani:
Sample-Efficient Curriculum Reinforcement Learning for Complex Reward Functions. CoRR abs/2410.16790 (2024) - 2023
- [i38]Niklas Åkerblom, Morteza Haghir Chehreghani:
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. CoRR abs/2301.07156 (2023) - [i37]Linus Aronsson, Morteza Haghir Chehreghani:
Active Learning with Positive and Negative Pairwise Feedback. CoRR abs/2302.10295 (2023) - [i36]Ebrahim Balouji, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani:
Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs. CoRR abs/2303.15087 (2023) - [i35]Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Utilizing Reinforcement Learning for de novo Drug Design. CoRR abs/2303.17615 (2023) - [i34]Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani:
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction. CoRR abs/2304.13032 (2023) - [i33]Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. CoRR abs/2305.02093 (2023) - [i32]Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani:
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach. CoRR abs/2308.10699 (2023) - [i31]Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani:
Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation. CoRR abs/2312.12676 (2023) - 2022
- [i30]Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani:
Deep Q-learning: a robust control approach. CoRR abs/2201.08610 (2022) - [i29]Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani:
Passive and Active Learning of Driver Behavior from Electric Vehicles. CoRR abs/2203.02179 (2022) - [i28]Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani:
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification. CoRR abs/2206.08144 (2022) - [i27]Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Autonomous Drug Design with Multi-armed Bandits. CoRR abs/2207.01393 (2022) - [i26]Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner:
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks. CoRR abs/2208.11947 (2022) - [i25]Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani:
An Online Learning Approach for Vehicle Usage Prediction During COVID-19. CoRR abs/2210.16002 (2022) - 2021
- [i24]Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani:
A Unified Framework for Online Trip Destination Prediction. CoRR abs/2101.04520 (2021) - [i23]Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani:
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach. CoRR abs/2107.09139 (2021) - [i22]Sanna Jarl, Sadegh Rahrovani, Morteza Haghir Chehreghani:
Analysis of Driving Scenario Trajectories with Active Learning. CoRR abs/2108.03217 (2021) - [i21]Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani:
Online Learning of Network Bottlenecks via Minimax Paths. CoRR abs/2109.08467 (2021) - [i20]Morteza Haghir Chehreghani:
Shift of Pairwise Similarities for Data Clustering. CoRR abs/2110.13103 (2021) - [i19]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
Online Learning of Energy Consumption for Navigation of Electric Vehicles. CoRR abs/2111.02314 (2021) - 2020
- [i18]Morteza Haghir Chehreghani:
Hierarchical Correlation Clustering and Tree Preserving Embedding. CoRR abs/2002.07756 (2020) - [i17]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. CoRR abs/2003.01416 (2020) - [i16]Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi, Ahmad Nickabadi, Morteza Haghir Chehreghani:
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction. CoRR abs/2003.12346 (2020) - [i15]Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. CoRR abs/2003.13438 (2020) - [i14]Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani:
Memory-Efficient Sampling for Minimax Distance Measures. CoRR abs/2005.12627 (2020) - [i13]Carl Johnell, Morteza Haghir Chehreghani:
Frank-Wolfe Optimization for Dominant Set Clustering. CoRR abs/2007.11652 (2020) - [i12]Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani:
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories. CoRR abs/2007.14524 (2020) - [i11]John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani:
Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models. CoRR abs/2009.10835 (2020) - [i10]Fazeleh Sadat Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani:
A Generic Framework for Clustering Vehicle Motion Trajectories. CoRR abs/2009.12443 (2020) - 2019
- [i9]Morteza Haghir Chehreghani:
Reliable Agglomerative Clustering. CoRR abs/1901.02063 (2019) - [i8]Ashkan Panahi, Erik Thiel, Morteza Haghir Cheraghani, Devdatt P. Dubhashi:
Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer. CoRR abs/1903.03850 (2019) - [i7]Morteza Haghir Chehreghani:
Nonparametric feature extraction based on Minimax distance. CoRR abs/1904.13223 (2019) - [i6]Emilio Jorge, Morteza Haghir Chehreghani, Devdatt P. Dubhashi:
Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. CoRR abs/1905.05095 (2019) - [i5]Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani:
Lifelong Learning Starting From Zero. CoRR abs/1906.09852 (2019) - 2018
- [i4]Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani:
Nonparametric Feature Extraction from Dendrograms. CoRR abs/1812.09225 (2018) - [i3]Yuxin Chen, Morteza Haghir Chehreghani:
Trip Prediction by Leveraging Trip Histories from Neighboring Users. CoRR abs/1812.10097 (2018) - 2017
- [i2]Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause:
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. CoRR abs/1703.05452 (2017) - 2014
- [i1]Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani:
Modeling Transitivity in Complex Networks. CoRR abs/1411.0958 (2014)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-12-09 01:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
