Muhammad Umer

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts.
CoRR, July, 2025

2024
Convergence Analysis of a Norm Minimization-Based Convex Vector Optimization Algorithm.
SIAM J. Optim., 2024

Improving Plant Disease Classification With Deep-Learning-Based Prediction Model Using Explainable Artificial Intelligence.
IEEE Access, 2024

2023
Mapping Cropland Extent in Pakistan Using Machine Learning Algorithms on Google Earth Engine Cloud Computing Framework.
ISPRS Int. J. Geo Inf., 2023

Adversary Aware Continual Learning.
CoRR, 2023

2022
A Norm Minimization-Based Convex Vector Optimization Algorithm.
J. Optim. Theory Appl., 2022

Image processing based fault classification in power systems with classical and intelligent techniques.
J. Intell. Fuzzy Syst., 2022

Contributor-Aware Defenses Against Adversarial Backdoor Attacks.
CoRR, 2022

False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger.
CoRR, 2022

A two-stage intrusion detection system with auto-encoder and LSTMs.
Appl. Soft Comput., 2022

2021
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Comparative Analysis of Extreme Verification Latency Learning Algorithms.
CoRR, 2020

Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Novel Model for HD video calling in 5G Networks.
Proceedings of the 25th International Conference on Automation and Computing, 2019

2018
Adversarial Poisoning of Importance Weighting in Domain Adaptation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
Reducing communication cost of encrypted data search with compressed bloom filters.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

LEVELIW: Learning extreme verification latency with importance weighting.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Learning under extreme verification latency quickly: FAST COMPOSE.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014
An inertial sensor system for measurements of tibia angle with applications to knee valgus/varus detection.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

2013
Opportunistic sampling-based query processing in wireless sensor networks.
GeoInformatica, 2013

Study on estimation of peak Ground Reaction Forces using tibial accelerations in running.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

2010
A query-driven approach to efficient and robust data collection in wireless sensor networks.
PhD thesis, 2010

Spatial interpolation in wireless sensor networks: localized algorithms for variogram modeling and Kriging.
GeoInformatica, 2010

2009
Optimizing query processing using selectivity-awareness in Wireless Sensor Networks.
Comput. Environ. Urban Syst., 2009

Opportunistic sampling in wireless sensor networks.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

2008
Kriging for Localized Spatial Interpolation in Sensor Networks.
Proceedings of the Scientific and Statistical Database Management, 2008

2006
Efficient Data Collection and Selective Queries in Sensor Networks.
Proceedings of the GeoSensor Networks, Second International Conference, 2006

2005
A semantic grid-based e-learning framework (SELF).
Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005

2004
The Case for an Agri Data Warehouse: Enabling Analytical Exploration of Integrated Agricultural Data.
Proceedings of the IASTED International Conference on Databases and Applications, 2004


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