Assefaw Hadish Gebremedhin
Orcid: 0000-0001-5383-8032Affiliations:
- Washington State University, Pullman, WA, USA
According to our database1,
Assefaw Hadish Gebremedhin
authored at least 68 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on eecs.wsu.edu
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review.
ACM Comput. Surv., October, 2024
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2022
MPC-Based Decentralized Voltage Control in Power Distribution Systems With EV and PV Coordination.
IEEE Trans. Smart Grid, 2022
Lucid dreaming for experience replay: refreshing past states with the current policy.
Neural Comput. Appl., 2022
Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis.
ACM J. Exp. Algorithmics, 2022
Cast to Vote: A Socio-technical Network Analysis of an Election Smartphone Application.
Digit. Gov. Res. Pract., 2022
NWHy: A Framework for Hypergraph Analytics: Representations, Data structures, and Algorithms.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
2021
IEEE Trans. Ind. Informatics, 2021
Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based Optimizer.
Proceedings of the IEEE International Conference on Communications, 2021
Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
2020
WIREs Data Mining Knowl. Discov., 2020
A Signal-Level Transfer Learning Framework for Autonomous Reconfiguration of Wearable Systems.
IEEE Trans. Mob. Comput., 2020
Collaborative Multi-Expert Active Learning for Mobile Health Monitoring: Architecture, Algorithms, and Evaluation.
Sensors, 2020
Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020
2019
Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction.
IEEE Trans. Knowl. Data Eng., 2019
Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
2018
Inroads, 2018
A nearest-neighbors network model for sequence data reveals new insight into genotype distribution of a pathogen.
BMC Bioinform., 2018
Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
IEEE Trans. Parallel Distributed Syst., 2017
Proceedings of the 2nd International Workshop on Network Data Analytics, 2017
A closed-loop deep learning architecture for robust activity recognition using wearable sensors.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Co-MEAL: Cost-Optimal Multi-Expert Active Learning Architecture for Mobile Health Monitoring.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Capitalizing on <i>live</i> variables: new algorithms for efficient Hessian computation via automatic differentiation.
Math. Program. Comput., 2016
One-Sided Interface for Matrix Operations Using MPI-3 RMA: A Case Study with Elemental.
Proceedings of the 45th International Conference on Parallel Processing, 2016
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
SIAM J. Sci. Comput., 2015
Fast Algorithms for the Maximum Clique Problem on Massive Graphs with Applications to Overlapping Community Detection.
Internet Math., 2015
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
2014
Proceedings of the 23rd International World Wide Web Conference, 2014
2013
ACM Trans. Math. Softw., 2013
A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components
CoRR, 2013
Proceedings of the Algorithms and Models for the Web Graph - 10th International Workshop, 2013
2012
Parallel Comput., 2012
What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks
CoRR, 2012
CoRR, 2012
2011
Proceedings of the International Conference on Computational Science, 2011
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011
2010
Distributed-Memory Parallel Algorithms for Distance-2 Coloring and Related Problems in Derivative Computation.
SIAM J. Sci. Comput., 2010
2009
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation.
INFORMS J. Comput., 2009
The Enabling Power of Graph Coloring Algorithms in Automatic Differentiation and Parallel Processing.
Proceedings of the Combinatorial Scientific Computing, 01.02. - 06.02.2009, 2009
2008
J. Parallel Distributed Comput., 2008
2007
SIAM J. Sci. Comput., 2007
2006
PRO: A Model for the Design and Analysis of Efficient and Scalable Parallel Algorithms.
Nord. J. Comput., 2006
2005
SIAM Rev., 2005
Proceedings of the High Performance Computing and Communications, 2005
Proceedings of the Euro-Par 2005, Parallel Processing, 11th International Euro-Par Conference, Lisbon, Portugal, August 30, 2005
2004
Proceedings of the Applied Parallel Computing, 2004
2003
2002
Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002
Proceedings of the Euro-Par 2002, 2002
2000
Proceedings of the Graph-Theoretic Concepts in Computer Science, 2000