Amir Keramatian

Showing 7 publications

2023

PARMA-CC: A Family of Parallel Multiphase Approximate Cluster Combining Algorithms

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Journal of Parallel and Distributed Computing. Vol. 177, p. 68-88
Journal article
2022

IP. LSH. DBSCAN : Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13440 LNCS, p. 268-284
Paper in proceeding
2021

MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Journal of Parallel and Distributed Computing. Vol. 147, p. 248-267
Journal article
2020

PARMA-CC: Parallel Multiphase Approximate Cluster Combining

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
ACM International Conference Proceeding Series
Paper in proceeding
2019

MAD-C: Multi-stage Approximate Distributed Cluster-Combining for Obstacle Detection and Localization

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11339, p. 312-324
Paper in proceeding

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Showing 1 research projects

2016–2021

Future factories in the Cloud (FiC)

Marina Papatriantafilou Networks and Systems (Chalmers)
Philippas Tsigas Networks and Systems (Chalmers)
Ioannis Nikolakopoulos Networks and Systems (Chalmers)
Amir Keramatian Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Hannaneh Najdataei Networks and Systems (Chalmers)
Ivan Walulya Networks and Systems (Chalmers)
Swedish Foundation for Strategic Research (SSF)

34 publications exist
There might be more projects where Amir Keramatian participates, but you have to be logged in as a Chalmers employee to see them.