Morteza Haghir Chehreghani

Affiliations:
  • Chalmers University of Technology, Sweden


According to our database1, Morteza Haghir Chehreghani authored at least 56 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Online Learning of Energy Consumption for Navigation of Electric Vehicles.
CoRR, 2021

Shift of Pairwise Similarities for Data Clustering.
CoRR, 2021

Online Learning of Network Bottlenecks via Minimax Paths.
CoRR, 2021

Analysis of Driving Scenario Trajectories with Active Learning.
CoRR, 2021

Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach.
CoRR, 2021

A Unified Framework for Online Trip Destination Prediction.
CoRR, 2021

Vehicle Motion Trajectories Clustering via Embedding Transitive Relations.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Reliable Agglomerative Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2021

Shallow Node Representation Learning using Centrality Indices.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Accelerated proximal incremental algorithm schemes for non-strongly convex functions.
Theor. Comput. Sci., 2020

Learning representations from dendrograms.
Mach. Learn., 2020

Unsupervised representation learning with Minimax distance measures.
Mach. Learn., 2020

A Generic Framework for Clustering Vehicle Motion Trajectories.
CoRR, 2020

Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models.
CoRR, 2020

A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories.
CoRR, 2020

Frank-Wolfe Optimization for Dominant Set Clustering.
CoRR, 2020

Memory-Efficient Sampling for Minimax Distance Measures.
CoRR, 2020

On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime.
CoRR, 2020

Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction.
CoRR, 2020

Hierarchical Correlation Clustering and Tree Preserving Embedding.
CoRR, 2020

Generation of Driving Scenario Trajectories with Generative Adversarial Networks.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization.
CoRR, 2019

Nonparametric feature extraction based on Minimax distance.
CoRR, 2019

Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer.
CoRR, 2019

Lifelong Learning Starting from Zero.
Proceedings of the Artificial General Intelligence - 12th International Conference, 2019

A Non-Convex Optimization Approach to Correlation Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Trip Prediction by Leveraging Trip Histories from Neighboring Users.
CoRR, 2018

Nonparametric Feature Extraction from Dendrograms.
CoRR, 2018

Efficient Context-Aware K-Nearest Neighbor Search.
Proceedings of the Advances in Information Retrieval, 2018

2017
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Efficient Computation of Pairwise Minimax Distance Measures.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Clustering by Shift.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Feature-Oriented Analysis of User Profile Completion Problem.
Proceedings of the Advances in Information Retrieval, 2017

Classification with Minimax Distance Measures.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Adaptive trajectory analysis of replicator dynamics for data clustering.
Mach. Learn., 2016

Modeling Transitivity in Complex Networks.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

K-Nearest Neighbor Search and Outlier Detection via Minimax Distances.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Transactional Tree Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2013
Approximate Sorting.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012
Information Theoretic Model Validation for Spectral Clustering.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Information Theoretic Model Selection for Pattern Analysis.
Proceedings of the Unsupervised and Transfer Learning, 2012

Probabilistic Heuristics for Hierarchical Web Data Clustering.
Comput. Intell., 2012

The information content in sorting algorithms.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
OInduced: An Efficient Algorithm for Mining Induced Patterns From Rooted Ordered Trees.
IEEE Trans. Syst. Man Cybern. Part A, 2011

The Minimum Transfer Cost Principle for Model-Order Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2009
Efficient rule based structural algorithms for classification of tree structured data.
Intell. Data Anal., 2009

Density link-based methods for clustering web pages.
Decis. Support Syst., 2009

2008
Improving density-based methods for hierarchical clustering of web pages.
Data Knowl. Eng., 2008

Novel meta-heuristic algorithms for clustering web documents.
Appl. Math. Comput., 2008

2007
A heuristic algorithm for clustering rooted ordered trees.
Intell. Data Anal., 2007

Attaining Higher Quality for Density Based Algorithms.
Proceedings of the Web Reasoning and Rule Systems, First International Conference, 2007

Clustering Rooted Ordered Trees.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Mining Maximal Embedded Unordered Tree Patterns.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007


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