Morteza Haghir Chehreghani

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 89

Top Venues

Publications

Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
Utilizing reinforcement learning for de novo drug design. Mach. Learn. 113 (7) (2024)
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 (2024)
Linus Aronsson, Morteza Haghir Chehreghani
Effective Acquisition Functions for Active Correlation Clustering. CoRR (2024)
Peter Samoaa, Mehrdad Farahani, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks. CoRR (2024)
Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani
Tree Ensembles for Contextual Bandits. CoRR (2024)
Linus Aronsson, Morteza Haghir Chehreghani
Correlation Clustering with Active Learning of Pairwise Similarities. Trans. Mach. Learn. Res. 2024 (2024)
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) (2024)
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 (2024)
Simon Johansson, Ola Engkvist, Morteza Haghir Chehreghani, Alexander Schliep
Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes. BigData (2023)
Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
Utilizing Reinforcement Learning for de novo Drug Design. CoRR (2023)
Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani
Efficient Online Decision Tree Learning with Active Feature Acquisition. CoRR (2023)
Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani
Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning. BigData (2023)
Peter Peter Samoaa, Linus Aronsson, Philipp Leitner, Morteza Haghir Chehreghani
Batch Mode Deep Active Learning for Regression on Graph Data. BigData (2023)
Niklas Åkerblom, Morteza Haghir Chehreghani
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. CoRR (2023)
Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani
Efficient Online Decision Tree Learning with Active Feature Acquisition. IJCAI (2023)
Morteza Haghir Chehreghani
Shift of pairwise similarities for data clustering. Mach. Learn. 112 (6) (2023)
Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Online learning of network bottlenecks via minimax paths. Mach. Learn. 112 (1) (2023)
Niklas Åkerblom, Morteza Haghir Chehreghani
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. Trans. Mach. Learn. Res. 2023 (2023)
Zahra Moteshaker Arani, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
Non-uniform Sampling Methods for Large Itemset Mining. BigData (2023)
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)
Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach. CoRR (2023)
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) (2023)
Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation. CoRR (2023)
Ebrahim Balouji, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani
Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs. CoRR (2023)
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) (2023)
Linus Aronsson, Morteza Haghir Chehreghani
Active Learning with Positive and Negative Pairwise Feedback. CoRR (2023)
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) (2023)
Peter 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 (2023)
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Online learning of energy consumption for navigation of electric vehicles. Artif. Intell. 317 (2023)
Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
Autonomous Drug Design with Multi-armed Bandits. CoRR (2022)
Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Memory-Efficient Minimax Distance Measures. PAKDD (1) (2022)
Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani
A unified framework for online trip destination prediction. Mach. Learn. 111 (10) (2022)
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 (2022)
Yuxin Chen, Morteza Haghir Chehreghani
Trip Prediction by Leveraging Trip Histories from Neighboring Users. ITSC (2022)
Carl Johnell, Morteza Haghir Chehreghani
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms. CIKM (2022)
Sara Asghari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
On Using Node Indices and Their Correlations for Fake Account Detection. Big Data (2022)
Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani
Passive and Active Learning of Driver Behavior from Electric Vehicles. ITSC (2022)
Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification. CoRR (2022)
Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
Analysis of Knowledge Transfer in Kernel Regime. CIKM (2022)
Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani
Passive and Active Learning of Driver Behavior from Electric Vehicles. CoRR (2022)
Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
Autonomous Drug Design with Multi-Armed Bandits. Big Data (2022)
Sanna Jarl, Linus Aronsson, Sadegh Rahrovani, Morteza Haghir Chehreghani
Active learning of driving scenario trajectories. Eng. Appl. Artif. Intell. 113 (2022)
Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani
An Online Learning Approach for Vehicle Usage Prediction During COVID-19. CoRR (2022)
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)
Mahdi Ghanbari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
Graph Clustering Using Node Embeddings: An Empirical Study. Big Data (2022)
Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani
Deep Q-learning: a robust control approach. CoRR (2022)
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Online Learning of Energy Consumption for Navigation of Electric Vehicles. CoRR (2021)
Fazeleh Sadat Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani
Vehicle Motion Trajectories Clustering via Embedding Transitive Relations. ITSC (2021)
Morteza Haghir Chehreghani
Reliable Agglomerative Clustering. IJCNN (2021)
Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Online Learning of Network Bottlenecks via Minimax Paths. CoRR (2021)
Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani
A Unified Framework for Online Trip Destination Prediction. CoRR (2021)
Morteza Haghir Chehreghani
Shift of Pairwise Similarities for Data Clustering. CoRR (2021)
Masoud Malek, Mostafa Haghir Chehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani
Shallow Node Representation Learning using Centrality Indices. IEEE BigData (2021)
Sanna Jarl, Sadegh Rahrovani, Morteza Haghir Chehreghani
Analysis of Driving Scenario Trajectories with Active Learning. CoRR (2021)
John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks. IEEE BigData (2021)
Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach. CoRR (2021)
Morteza Haghir Chehreghani
Unsupervised representation learning with Minimax distance measures. Mach. Learn. 109 (11) (2020)
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
Learning representations from dendrograms. Mach. Learn. 109 (9-10) (2020)
John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani
Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models. CoRR (2020)
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. IJCAI (2020)
Morteza Haghir Chehreghani
Hierarchical Correlation Clustering and Tree Preserving Embedding. CoRR (2020)
Andreas Demetriou, Henrik Allsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani
Generation of Driving Scenario Trajectories with Generative Adversarial Networks. ITSC (2020)
Carl Johnell, Morteza Haghir Chehreghani
Frank-Wolfe Optimization for Dominant Set Clustering. CoRR (2020)
Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theor. Comput. Sci. 812 (2020)
Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi, Ahmad Nickabadi, Morteza Haghir Chehreghani
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction. CoRR (2020)
Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories. CoRR (2020)
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. CoRR (2020)
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 (2020)
Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Memory-Efficient Sampling for Minimax Distance Measures. CoRR (2020)
Fazeleh Sadat Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani
A Generic Framework for Clustering Vehicle Motion Trajectories. CoRR (2020)
Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani
Lifelong Learning Starting From Zero. CoRR (2019)
Morteza Haghir Chehreghani
Nonparametric feature extraction based on Minimax distance. CoRR (2019)
Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
A Non-Convex Optimization Approach to Correlation Clustering. AAAI (2019)
Emilio Jorge, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. CoRR (2019)
Morteza Haghir Chehreghani
Reliable Agglomerative Clustering. CoRR (2019)
Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani
Lifelong Learning Starting from Zero. AGI (2019)
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
Nonparametric Feature Extraction from Dendrograms. CoRR (2018)
Yuxin Chen, Morteza Haghir Chehreghani
Trip Prediction by Leveraging Trip Histories from Neighboring Users. CoRR (2018)
Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
Efficient Context-Aware K-Nearest Neighbor Search. ECIR (2018)
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 (2017)
Morteza Haghir Chehreghani
Feature-Oriented Analysis of User Profile Completion Problem. ECIR (2017)
Morteza Haghir Chehreghani
Classification with Minimax Distance Measures. AAAI (2017)
Morteza Haghir Chehreghani
Efficient Computation of Pairwise Minimax Distance Measures. ICDM (2017)
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)
Morteza Haghir Chehreghani
Clustering by Shift. ICDM (2017)
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
Modeling Transitivity in Complex Networks. UAI (2016)
Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
Transactional Tree Mining. ECML/PKDD (1) (2016)
Morteza Haghir Chehreghani
Adaptive trajectory analysis of replicator dynamics for data clustering. Mach. Learn. 104 (2-3) (2016)
Morteza Haghir Chehreghani
K-Nearest Neighbor Search and Outlier Detection via Minimax Distances. SDM (2016)
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
Modeling Transitivity in Complex Networks. CoRR (2014)
Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann
Approximate Sorting. GCPR (2013)
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, Hassan Abolhassani
Probabilistic Heuristics for Hierarchical Web Data Clustering. Comput. Intell. 28 (2) (2012)
Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann
Information Theoretic Model Validation for Spectral Clustering. AISTATS (2012)
Joachim M. Buhmann, Morteza Haghir Chehreghani, Mario Frank, Andreas P. Streich
Information Theoretic Model Selection for Pattern Analysis. ICML Unsupervised and Transfer Learning (2012)
Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann
The information content in sorting algorithms. ISIT (2012)
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) (2011)
Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann
The Minimum Transfer Cost Principle for Model-Order Selection. ECML/PKDD (1) (2011)
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) (2009)
Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani
Density link-based methods for clustering web pages. Decis. Support Syst. 47 (4) (2009)
Mehrdad Mahdavi, Morteza Haghir Chehreghani, Hassan Abolhassani, Rana Forsati
Novel meta-heuristic algorithms for clustering web documents. Appl. Math. Comput. 201 (1-2) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Morteza Haghir Chehreghani