Morteza Haghir Chehreghani

132 papers A* 11A 10B 10C 3Journal 85Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants. J. Data-centric Mach. Learn. Res. Peter Samoaa, Marcus Vukojevic, Morteza Haghir Chehreghani, Antonio Longa
2026	A	`conf`	Cold-Start Active Correlation Clustering. WSDM Linus Aronsson, Han Wu, Morteza Haghir Chehreghani
2026	J	`jnl`	Decoupling Task and Behavior: A Two-Stage Reward Curriculum in Reinforcement Learning for Robotics. CoRR Kilian Freitag, Knut Åkesson, Morteza Haghir Chehreghani
2026	J	`jnl`	Multi-Objective Reinforcement Learning for Efficient Tactical Decision Making for Trucks in Highway Traffic. CoRR Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani
2026	J	`jnl`	Tactical decision making for autonomous trucks by deep reinforcement learning with total cost of operation based reward. Artif. Intell. Rev. Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani
2025	J	`jnl`	A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants. CoRR Peter Samoaa, Marcus Vukojevic, Morteza Haghir Chehreghani, Antonio Longa
2025	J	`jnl`	A Survey on Active Feature Acquisition Strategies. CoRR Arman Rahbar, Linus Aronsson, Morteza Haghir Chehreghani
2025	J	`jnl`	AFABench: A Generic Framework for Benchmarking Active Feature Acquisition. CoRR Valter Schütz, Han Wu, Reza Rezvan, Linus Aronsson, Morteza Haghir Chehreghani
2025	J	`jnl`	An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks. CoRR Linus Aronsson, Morteza Haghir Chehreghani
2025	A*	`conf`	Bayesian Analysis of Combinatorial Gaussian Process Bandits. ICLR Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
2025	J	`jnl`	Cold-Start Active Correlation Clustering. CoRR Linus Aronsson, Han Wu, Morteza Haghir Chehreghani
2025	J	`jnl`	Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach. Trans. Mach. Learn. Res. Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani
2025	J	`jnl`	Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design. CoRR Hampus Gummesson Svensson, Ola Engkvist, Jon Paul Janet, Christian Tyrchan, Morteza Haghir Chehreghani
2025	A*	`conf`	Diversity-Aware Reinforcement Learning for de novo Drug Design. IJCAI Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
2025	J	`jnl`	Efficient Prior Selection in Gaussian Process Bandits with Thompson Sampling. CoRR Jack Sandberg, Morteza Haghir Chehreghani
2025	A*	`conf`	Information-Theoretic Active Correlation Clustering. ICDM Linus Aronsson, Morteza Haghir Chehreghani
2025	J	`jnl`	Learning for routing: A guided review of recent developments and future directions. CoRR Fangting Zhou, Attila Lischka, Balázs Kulcsár, Jiaming Wu, Morteza Haghir Chehreghani, Gilbert Laporte
2025	J	`jnl`	Learning to Solve Multi-Objective Routing Problems on Multigraphs. CoRR Filip Rydin, Attila Lischka, Jiaming Wu, Morteza Haghir Chehreghani, Balázs Kulcsár
2025	J	`jnl`	Mining transactional tree databases under homeomorphism. J. Supercomput. Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
2024	A	`conf`	A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification. CIKM Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
2024	J	`jnl`	A GREAT Architecture for Edge-Based Graph Problems Like TSP. CoRR Attila Lischka, Jiaming Wu, Morteza Haghir Chehreghani, Balázs Kulcsár
2024	J	`jnl`	A unified active learning framework for annotating graph data for regression tasks. Eng. Appl. Artif. Intell. Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
2024	J	`jnl`	Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks. CoRR Peter Samoaa, Mehrdad Farahani, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
2024	J	`jnl`	Correlation Clustering with Active Learning of Pairwise Similarities. Trans. Mach. Learn. Res. Linus Aronsson, Morteza Haghir Chehreghani
2024	J	`jnl`	Diversity-Aware Reinforcement Learning for de novo Drug Design. CoRR Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
2024	J	`jnl`	Effective Acquisition Functions for Active Correlation Clustering. CoRR Linus Aronsson, Morteza Haghir Chehreghani
2024	A*	`conf`	Hierarchical Correlation Clustering and Tree Preserving Embedding. CVPR Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
2024	J	`jnl`	Less Is More - On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP. CoRR Attila Lischka, Jiaming Wu, Rafael Basso, Morteza Haghir Chehreghani, Balázs Kulcsár
2024	J	`jnl`	Online Learning Models for Vehicle Usage Prediction During COVID-19. IEEE Trans. Intell. Transp. Syst. Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani
2024	J	`jnl`	Sample-Efficient Curriculum Reinforcement Learning for Complex Reward Functions. CoRR Kilian Freitag, Kristian Ceder, Rita Laezza, Knut Åkesson, Morteza Haghir Chehreghani
2024	J	`jnl`	Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward. CoRR Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani
2024	J	`jnl`	Tree Ensembles for Contextual Bandits. CoRR Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani
2024	J	`jnl`	Tree Ensembles for Contextual Bandits. Trans. Mach. Learn. Res. Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani
2024	J	`jnl`	Utilizing reinforcement learning for de novo drug design. Mach. Learn. Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
2023	J	`jnl`	A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. CoRR Niklas Åkerblom, Morteza Haghir Chehreghani
2023	J	`jnl`	A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. Trans. Mach. Learn. Res. Niklas Åkerblom, Morteza Haghir Chehreghani
2023	J	`jnl`	A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories. SN Comput. Sci. Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani
2023	J	`jnl`	A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction. CoRR Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
2023	J	`jnl`	Active Learning with Positive and Negative Pairwise Feedback. CoRR Linus Aronsson, Morteza Haghir Chehreghani
2023	B	`conf`	Batch Mode Deep Active Learning for Regression on Graph Data. IEEE Big Data Peter Samoaa, Linus Aronsson, Philipp Leitner, Morteza Haghir Chehreghani
2023	J	`jnl`	Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation. CoRR Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
2023	J	`jnl`	Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction. Neural Process. Lett. Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi, Ahmad Nickabadi, Morteza Haghir Chehreghani
2023	J	`jnl`	Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach. CoRR Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani
2023	B	`conf`	Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes. IEEE Big Data Simon Johansson, Ola Engkvist, Morteza Haghir Chehreghani, Alexander Schliep
2023	J	`jnl`	Do Kernel and Neural Embeddings Help in Training and Generalization? Neural Process. Lett. Arman Rahbar, Emilio Jorge, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2023	A*	`conf`	Efficient Online Decision Tree Learning with Active Feature Acquisition. IJCAI Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani
2023	J	`jnl`	Efficient Online Decision Tree Learning with Active Feature Acquisition. CoRR Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani
2023	B	`conf`	Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning. IEEE Big Data Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani
2023	B	`conf`	Non-uniform Sampling Methods for Large Itemset Mining. IEEE Big Data Zahra Moteshaker Arani, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
2023	J	`jnl`	Online learning of energy consumption for navigation of electric vehicles. Artif. Intell. Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2023	J	`jnl`	Online learning of network bottlenecks via minimax paths. Mach. Learn. Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
2023	J	`jnl`	Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs. CoRR Ebrahim Balouji, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani
2023	A*	`conf`	Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. ICML Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Hamid Krim
2023	J	`jnl`	Shift of pairwise similarities for data clustering. Mach. Learn. Morteza Haghir Chehreghani
2023	J	`jnl`	Utilizing Reinforcement Learning for de novo Drug Design. CoRR Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
2022	J	`jnl`	A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification. CoRR Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
2022	J	`jnl`	A unified framework for online trip destination prediction. Mach. Learn. Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani
2022	J	`jnl`	Active learning of driving scenario trajectories. Eng. Appl. Artif. Intell. Sanna Jarl, Linus Aronsson, Sadegh Rahrovani, Morteza Haghir Chehreghani
2022	J	`jnl`	An Online Learning Approach for Vehicle Usage Prediction During COVID-19. CoRR Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani
2022	A	`conf`	Analysis of Knowledge Transfer in Kernel Regime. CIKM Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2022	B	`conf`	Autonomous Drug Design with Multi-Armed Bandits. IEEE Big Data Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
2022	J	`jnl`	Autonomous Drug Design with Multi-armed Bandits. CoRR Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani
2022	J	`jnl`	Deep Q-learning: a robust control approach. CoRR Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani
2022	A	`conf`	Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms. CIKM Carl Johnell, Morteza Haghir Chehreghani
2022	B	`conf`	Graph Clustering Using Node Embeddings: An Empirical Study. IEEE Big Data Mahdi Ghanbari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
2022	—	`conf`	Memory-Efficient Minimax Distance Measures. PAKDD (1) Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
2022	B	`conf`	On Using Node Indices and Their Correlations for Fake Account Detection. IEEE Big Data Sara Asghari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
2022	—	`conf`	Passive and Active Learning of Driver Behavior from Electric Vehicles. ITSC Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani
2022	J	`jnl`	Passive and Active Learning of Driver Behavior from Electric Vehicles. CoRR Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani
2022	B	`conf`	TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks. PROFES Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner
2022	J	`jnl`	TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks. CoRR Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner
2022	—	`conf`	Trip Prediction by Leveraging Trip Histories from Neighboring Users. ITSC Yuxin Chen, Morteza Haghir Chehreghani
2021	J	`jnl`	A Unified Framework for Online Trip Destination Prediction. CoRR Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani
2021	J	`jnl`	Analysis of Driving Scenario Trajectories with Active Learning. CoRR Sanna Jarl, Sadegh Rahrovani, Morteza Haghir Chehreghani
2021	J	`jnl`	Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach. CoRR Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani
2021	—	`conf`	Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks. IEEE BigData John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani
2021	J	`jnl`	Online Learning of Energy Consumption for Navigation of Electric Vehicles. CoRR Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2021	J	`jnl`	Online Learning of Network Bottlenecks via Minimax Paths. CoRR Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
2021	B	`conf`	Reliable Agglomerative Clustering. IJCNN Morteza Haghir Chehreghani
2021	—	`conf`	Shallow Node Representation Learning using Centrality Indices. IEEE BigData Masoud Malek, Mostafa Haghir Chehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani
2021	J	`jnl`	Shift of Pairwise Similarities for Data Clustering. CoRR Morteza Haghir Chehreghani
2021	—	`conf`	Vehicle Motion Trajectories Clustering via Embedding Transitive Relations. ITSC Fazeleh Sadat Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani
2020	J	`jnl`	A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories. CoRR Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani
2020	J	`jnl`	A Generic Framework for Clustering Vehicle Motion Trajectories. CoRR Fazeleh Sadat Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani
2020	J	`jnl`	Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theor. Comput. Sci. Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
2020	A*	`conf`	An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. IJCAI Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2020	J	`jnl`	An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. CoRR Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2020	J	`jnl`	Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction. CoRR Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi, Ahmad Nickabadi, Morteza Haghir Chehreghani
2020	J	`jnl`	Frank-Wolfe Optimization for Dominant Set Clustering. CoRR Carl Johnell, Morteza Haghir Chehreghani
2020	—	`conf`	Generation of Driving Scenario Trajectories with Generative Adversarial Networks. ITSC Andreas Demetriou, Henrik Allsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani
2020	J	`jnl`	Hierarchical Correlation Clustering and Tree Preserving Embedding. CoRR Morteza Haghir Chehreghani
2020	J	`jnl`	Learning representations from dendrograms. Mach. Learn. Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
2020	J	`jnl`	Memory-Efficient Sampling for Minimax Distance Measures. CoRR Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
2020	J	`jnl`	Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models. CoRR John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani
2020	J	`jnl`	On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. CoRR Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2020	J	`jnl`	Unsupervised representation learning with Minimax distance measures. Mach. Learn. Morteza Haghir Chehreghani
2019	A*	`conf`	A Non-Convex Optimization Approach to Correlation Clustering. AAAI Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
2019	J	`jnl`	Lifelong Learning Starting From Zero. CoRR Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani
2019	—	`conf`	Lifelong Learning Starting from Zero. AGI Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani
2019	J	`jnl`	Nonparametric feature extraction based on Minimax distance. CoRR Morteza Haghir Chehreghani
2019	J	`jnl`	Reliable Agglomerative Clustering. CoRR Morteza Haghir Chehreghani
2019	J	`jnl`	Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. CoRR Emilio Jorge, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
2018	A	`conf`	Efficient Context-Aware K-Nearest Neighbor Search. ECIR Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
2018	J	`jnl`	Nonparametric Feature Extraction from Dendrograms. CoRR Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
2018	J	`jnl`	Trip Prediction by Leveraging Trip Histories from Neighboring Users. CoRR Yuxin Chen, Morteza Haghir Chehreghani
2017	A*	`conf`	Classification with Minimax Distance Measures. AAAI Morteza Haghir Chehreghani
2017	A*	`conf`	Clustering by Shift. ICDM Morteza Haghir Chehreghani
2017	A*	`conf`	Efficient Computation of Pairwise Minimax Distance Measures. ICDM Morteza Haghir Chehreghani
2017	A	`conf`	Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. UAI Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause
2017	J	`jnl`	Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. CoRR Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause
2017	A	`conf`	Feature-Oriented Analysis of User Profile Completion Problem. ECIR Morteza Haghir Chehreghani
2016	J	`jnl`	Adaptive trajectory analysis of replicator dynamics for data clustering. Mach. Learn. Morteza Haghir Chehreghani
2016	A	`conf`	K-Nearest Neighbor Search and Outlier Detection via Minimax Distances. SDM Morteza Haghir Chehreghani
2016	A	`conf`	Modeling Transitivity in Complex Networks. UAI Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
2016	—	`conf`	Transactional Tree Mining. ECML/PKDD (1) Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
2014	J	`jnl`	Modeling Transitivity in Complex Networks. CoRR Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
2013	—	`conf`	Approximate Sorting. GCPR Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann
2012	—	`conf`	Information Theoretic Model Selection for Pattern Analysis. ICML Unsupervised and Transfer Learning Joachim M. Buhmann, Morteza Haghir Chehreghani, Mario Frank, Andreas P. Streich
2012	A	`conf`	Information Theoretic Model Validation for Spectral Clustering. AISTATS Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann
2012	J	`jnl`	Probabilistic Heuristics for Hierarchical Web Data Clustering. Comput. Intell. Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, Hassan Abolhassani
2012	B	`conf`	The information content in sorting algorithms. ISIT Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann
2011	J	`jnl`	OInduced: An Efficient Algorithm for Mining Induced Patterns From Rooted Ordered Trees. IEEE Trans. Syst. Man Cybern. Part A Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, Masoud Rahgozar
2011	—	`conf`	The Minimum Transfer Cost Principle for Model-Order Selection. ECML/PKDD (1) Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann
2009	J	`jnl`	Density link-based methods for clustering web pages. Decis. Support Syst. Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani
2009	J	`jnl`	Efficient rule based structural algorithms for classification of tree structured data. Intell. Data Anal. Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, Masoud Rahgozar, Euhanna Ghadimi
2008	J	`jnl`	Improving density-based methods for hierarchical clustering of web pages. Data Knowl. Eng. Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani
2008	J	`jnl`	Novel meta-heuristic algorithms for clustering web documents. Appl. Math. Comput. Mehrdad Mahdavi, Morteza Haghir Chehreghani, Hassan Abolhassani, Rana Forsati
2007	J	`jnl`	A heuristic algorithm for clustering rooted ordered trees. Intell. Data Anal. Mostafa Haghir Chehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani
2007	—	`conf`	Attaining Higher Quality for Density Based Algorithms. RR Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani
2007	C	`conf`	Clustering Rooted Ordered Trees. CIDM Mostafa Haghir Chehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani
2007	C	`conf`	H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks. ADMA Morteza Haghir Chehreghani, Hassan Abolhassani
2007	C	`conf`	Mining Maximal Embedded Unordered Tree Patterns. CIDM Mostafa Haghir Chehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani