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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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2020 – today
- 2024
[j24]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)- [j23]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) - [j22]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) - [j21]Linus Aronsson, Morteza Haghir Chehreghani:
Correlation Clustering with Active Learning of Pairwise Similarities. Trans. Mach. Learn. Res. 2024 (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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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 - [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
- [c18]Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Efficient Context-Aware K-Nearest Neighbor Search. ECIR 2018: 466-478 - [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
- [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 - [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) - 2016
- [j8]Morteza Haghir Chehreghani:
Adaptive trajectory analysis of replicator dynamics for data clustering. Mach. Learn. 104(2-3): 271-289 (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 - 2014
- [i1]Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani:
Modeling Transitivity in Complex Networks. CoRR abs/1411.0958 (2014) - 2013
- [c9]Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann:
Approximate Sorting. GCPR 2013: 142-152 - 2012
- [j7]Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, Hassan Abolhassani:
Probabilistic Heuristics for Hierarchical Web Data Clustering. Comput. Intell. 28(2): 209-233 (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
- [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) - [c5]Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann:
The Minimum Transfer Cost Principle for Model-Order Selection. ECML/PKDD (1) 2011: 423-438
2000 – 2009
- 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) - [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
Coauthor Index
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