Morteza Chehreghani

  • machine learning
  • deep learning
  • artificial intelligence

Welcome to my research home page! I am a staff research scientist in the area of Machine Learning. I obtained my PhD and habilitation from ETH Zurich – Switzerland at November 2013, where I worked at the Machine Learning research group led by Prof. Joachim Buhmann.

My main research interests are in the areas of Artificial Intelligence, Machine Learning and Data Analytics. I am enthusiastic about working on both fundamental questions as well as real-world complex problems.

Peer-reviewed publications in international journals and conferences [the list might be out of date!]

  1. Morteza Haghir Chehreghani, “Classification with Minimax Distance Measures”, Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017.
  2. Morteza Haghir Chehreghani, Feature-Oriented Analysis of User Profile Completion Problem, 39th European Conference on Information Retrieval (ECIR), 2017. [long paper]
  3. Morteza Haghir Chehreghani, Mostafa H. Chehreghani, Modeling Transitivity in Complex Networks, Uncertainty in Artificial Intelligence (UAI), 2016.
  4. Morteza Haghir Chehreghani, K-Nearest Neighbor Search and Outlier Detection via Minimax Distances”, SIAM International Conference on Data Mining (SDM), 2016.
  5. Mostafa H. Chehreghani, Morteza Haghir Chehreghani, Transactional Tree Mining, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery ECML/PKDD, 2016.
  6. Morteza Haghir Chehreghani, Adaptive Trajectory Analysis of Replicator Dynamics for Data Clustering, Machine Learning, 104(2-3): 271-289, 2016.
  7. Ana Paula Oliveira , Sotiris Dimopoulos, Alberto Giovanni Busetto, Stefan Christen, Reinhard Dechant, Laura Falter, Morteza Haghir Chehreghani, Szymon Jozefczuk, Christina Ludwig, Florian Rudroff, Juliane Schulz, Alexandre Soulard, Daniele Stracka, Ruedi Aebersold, Joachim M. Buhmann, Michael N. Hall, Matthias Peter, Uwe Sauer, Jörg Stelling, “Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome”, Molecular Systems Biology,11(4), 2015.
  8. Morteza Haghir Chehreghani, Ludwig M. Busse, Joachim M. Buhmann, “Information Content in Clustering Algorithms”, International Joint Statistical Meeting of DAGStat, 2013.
  9. Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann, “Approximate Sorting”, German Conference on Pattern Recognition (GCPR), 142-152, 2013.
  10. Moretza Haghir Chehreghani, Alberto G. Busetto, Joachim M. Buhmann, “Information Theoretic Model Validation for Spectral Clustering”, Journal of Machine Learning Research (JMLR), Vol. 22: 495-503, Proc. of AISTATS, 2012.
  11. Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann, “The Information Content in Sorting Algorithms”, International Symposium on Information Theory (ISIT), 2746-2750, 2012.
  12. Moretza Haghir Chehreghani, MostafaH. Chehreghani, Hassan Abolhassani, “Probabilistic Heuristics for Hierarchical Web Data Clustering”, Computational Intelligence, 28(2): 209-233, 2012.
  13. Joachim M. Buhmann, Morteza Haghir Chehreghani, Mario Frank, Andreas P. Streich, “Information Theoretic Model Selection for Pattern Analysis”, Journal of Machine Learning Research (JMLR), extended from ICML workshop on Unsupervised and Transfer Learning, 27:51-64, 2012.
  14. Mostafa H. Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, and Masoud Rahgozar, “OInduced: An Efficient Algorithm for Mining Induced Patterns from Rooted Ordered Trees”, IEEE Transactions on Systems, Man, and Cybernetics, Part A 41(5): 1013-1025, 2011.
  15. Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann, “The Minimum Transfer Cost Principle for Model-Order Selection”, European Conference on Machine Learning and Knowledge Discovery in Databases ECML/PKDD (1) 2011: 423-438.
  16. Moretza Haghir Chehreghani, Hassan Abolhassani, Mostafa H. Chehreghani, “Density link-based methods for clustering web pages”, Decision Support Systems, 47 (4): 374-382, 2009.
  17. Mostafa H. Chehreghani, Morteza Haghir Chehreghani, Masoud Rahgozar, Caro Lucas, and Euhanna Ghadimi, “Efficient Rule Based Structural Algorithms for Classification of Tree-Structured Data”, Intelligent Data Analysis, 13 (1): 165-188, 2009.
  18. Moretza Haghir Chehreghani, Hassan Abolhassani, Mostafa H. Chehreghani, “Improving Density Based Methods for Hierarchical Clustering of the Web Pages”, Data & Knowledge Engineering, 67 (1): 30-50, 2008.
  19. Mehrdad Mahdavi, Morteza Haghir Chehreghani, Hassan Abolhassani,and Rana Forsati, “Novel Meta-Heuristic Algorithms for Clustering Web Documents”, Applied Mathematics and Computation, 201 (1-2):  441–451, 2008.
  20. Mostafa H. Chehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani, “A Heuristic Algorithm for Clustering Rooted Ordered Trees”, Intelligent Data Analysis, 11 (4): 355-376, 2007.
  21. Morteza Haghir Chehreghani, Hassan Abolhassani, “H-BayesClust: A new Hierarchical Clustering based on Bayesian Networks”, International Conference on Advanced Data Mining and Applications (ADMA), LNCS, pp. 616–624, Springer, 2007.
  22. Morteza Haghir Chehreghani, Hassan Abolhassani, Attaining Higher Quality for Density Based Algorithms”, International Conference on Web Reasoning and Rule Systems (RR), LNCS, 329-338, Springer, 2007.
  23. Moretza Haghir Chehreghani, Mohammad Rahmati, “Design and Implementation of a 2-D Barcode based on Data Matrix Format”, 15th Iranian Conference on Electrical Engineering, 2007.

And several workshop papers at NIPS, ICML, etc.