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Learning Automata and Their Applications to Intelligent Systems

1, 2023

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STCO: Enhancing Training Efficiency via Structured Sparse Tensor Compilation Optimization

ACM transactions on design automation of electronic systems, 2024-10

2024

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SDE-HNN: Accurate and Well-calibrated Forecasting using Stochastic Differential Equations

ACM transactions on knowledge discovery from data, 2024-09

2024

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Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion

ACM transactions on knowledge discovery from data, 2024-10

2024

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Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.2485-2494

2021

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MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1708-1712

2023

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A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, p.1133-1147

2020

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Anomaly Detection with Robust Deep Autoencoders

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017, p.665-674

2017

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Deep reinforcement learning for automated stock trading: an ensemble strategy

Proceedings of the First ACM International Conference on AI in Finance, 2020, p.1-8

2020

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Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Proceedings of the First Workshop on Machine Learning for Computing Systems, 2018, p.1-8

2018

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Utilizing Statistical Tests for Comparing Machine Learning Algorithms

Kurdistan journal of applied research (Online), 2021-07, Vol.6 (1), p.69-74

Hamarashid, Hozan Khalid

2021

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Robust testing of low dimensional functions

Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021, p.584-597

2021

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Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, p.368-377

2018

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VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning

Proceedings of the 2021 International Conference on Management of Data, 2021, p.563-576

2021

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Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019, p.95-103

2019

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Cardinality estimation with local deep learning models

Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2019, p.1-8

2019

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Improving performance of intrusion detection system using ensemble methods and feature selection

Proceedings of the Australasian Computer Science Week Multiconference, 2018, p.1-6

2018

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INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition

Proceedings of the 28th ACM International Conference on Multimedia, 2020, p.1366-1375

2020

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Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks

Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020, p.1435-1444

2020

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A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models

2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR), 2017, p.146-157

2017

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Understanding and optimizing asynchronous low-precision stochastic gradient descent

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.561-574

2017

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Understanding the performance of machine learning models from data- to patient-level

ACM journal of data and information quality, 2024-09

2024

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Accurate and Efficient Surrogate Model-Assisted Optimal Design of Flux Reversal Permanent Magnet Arc Motor

IEEE transactions on industrial electronics (1982), 2023-09, Vol.70 (9), p.9312-9325

2023

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A Hybrid Intrusion Detection System Based on Scalable K-Means+ Random Forest and Deep Learning

IEEE access, 2021, Vol.9, p.75729-75740

2021

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Covid-19 Chest Radiography Images Analysis Based on Integration of Image Preprocess, Guided Grad-CAM, Machine Learning and Risk Management

Proceedings of the 4th International Conference on Medical and Health Informatics, 2020, p.281-288

2020

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Learning Automata and Their Applications to Intelligent Systems

STCO: Enhancing Training Efficiency via Structured Sparse Tensor Compilation Optimization

SDE-HNN: Accurate and Well-calibrated Forecasting using Stochastic Differential Equations

Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization

MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack

A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching

Anomaly Detection with Robust Deep Autoencoders

Deep reinforcement learning for automated stock trading: an ensemble strategy

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Utilizing Statistical Tests for Comparing Machine Learning Algorithms

Robust testing of low dimensional functions

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning

Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy

Cardinality estimation with local deep learning models

Improving performance of intrusion detection system using ensemble methods and feature selection

INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks

A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models

Understanding and optimizing asynchronous low-precision stochastic gradient descent

Understanding the performance of machine learning models from data- to patient-level

Accurate and Efficient Surrogate Model-Assisted Optimal Design of Flux Reversal Permanent Magnet Arc Motor

A Hybrid Intrusion Detection System Based on Scalable K-Means+ Random Forest and Deep Learning

Covid-19 Chest Radiography Images Analysis Based on Integration of Image Preprocess, Guided Grad-CAM, Machine Learning and Risk Management

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