Sunil Aryal

According to our database, Sunil Aryal authored at least 70 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal

SN Comput. Sci., March, 2024

<i>Shine</i>: A deep learning-based accessible parking management system.

Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, Mohamed Reda Bouadjenek, Uk-Min Seok, Jongwon Seok

Expert Syst. Appl., March, 2024

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture.

Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md. Ashraf Uddin, Sunil Aryal

Comput. Biol. Medicine, January, 2024

Omnidirectional Video Super-Resolution Using Deep Learning.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal

IEEE Trans. Multim., 2024

The Pursuit of Fairness in Artificial Intelligence Models: A Survey.

Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal

CoRR, 2024

Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis.

Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder

CoRR, 2024

A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats.

Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder

CoRR, 2024

usfAD Based Effective Unknown Attack Detection Focused IDS Framework.

Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder

CoRR, 2024

Training Machine Learning models at the Edge: A Survey.

Aymen Rayane Khouas, Mohamed Reda Bouadjenek, Hakim Hacid, Sunil Aryal

CoRR, 2024

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma.

Abanti Bhattacharjya, Manowarul Islam, Md. Ashraf Uddin, Md. Alamin Talukder, AKM Azad, Sunil Aryal, Bikash Kumar Paul, Wahia Tasnim, Muhammad Ali Abdulllah Almoyad, Mohammad Ali Moni

CoRR, 2024

MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs.

Md. Alamin Talukder, Selina Sharmin, Md. Ashraf Uddin, Md. Manowarul Islam, Sunil Aryal

CoRR, 2024

Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing.

Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya, KC Santosh

CoRR, 2024

2023

Detection and explanation of anomalies in healthcare data.

Durgesh Samariya, Jiangang Ma, Sunil Aryal, Xiaohui Zhao

Health Inf. Sci. Syst., December, 2023

An overview of Eulerian video motion magnification methods.

Ahmed Mohamed Ahmed, Mohamed Abdelrazek, Sunil Aryal, Thanh Thi Nguyen

Comput. Graph., December, 2023

4mC-CGRU: Identification of N4-Methylcytosine (4mC) sites using convolution gated recurrent unit in Rosaceae genome.

Abida Sultana, Sadia Jannat Mitu, Md Naimul Pathan, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal

Comput. Biol. Chem., December, 2023

An ensemble learning approach for anomaly detection in credit card data with imbalanced and overlapped classes.

Md. Amirul Islam, Ashraf Uddin, Sunil Aryal, Giovanni Stea

J. Inf. Secur. Appl., November, 2023

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning.

Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Md. Alamgir Jalil Pramanik, Sunil Aryal, Muhammad Ali Abdulllah Almoyad, Khondokar Fida Hasan, Mohammad Ali Moni

Expert Syst. Appl., November, 2023

Smart Crop Cultivation System Using Automated Agriculture Monitoring Environment in the Context of Bangladesh Agriculture.

Md. Bayazid Rahman, Joy Dhon Chakma, Abdul Momin, Shahidul Islam, Ashraf Uddin, Md Aminul Islam, Sunil Aryal

Sensors, October, 2023

Overcoming weaknesses of density peak clustering using a data-dependent similarity measure.

Zafaryab Rasool, Sunil Aryal, Mohamed Reda Bouadjenek, Richard Dazeley

Pattern Recognit., May, 2023

Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal, Antonio Robles-Kelly

Neurocomputing, 2023

A robust and clinically applicable deep learning model for early detection of Alzheimer's.

Md Masud Rana, Md. Manowarul Islam, Md. Alamin Talukder, Md. Ashraf Uddin, Sunil Aryal, Naif M. Alotaibi, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni

IET Image Process., 2023

HUMS2023 Data Challenge Result Submission.

Dhiraj Neupane, Lakpa Dorje Tamang, Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal

CoRR, 2023

SHINE: Deep Learning-Based Accessible Parking Management System.

Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, Mohamed Reda Bouadjenek, Uk-Min Seok, Jongwon Seok

CoRR, 2023

Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification.

Vinayaka Vivekananda Malgi, Sunil Aryal, Zafaryab Rasool, David Tay

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency.

Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal

Proceedings of the International Joint Conference on Neural Networks, 2023

Detection of Anomalies and Explanation in Cybersecurity.

Durgesh Samariya, Jiangang Ma, Sunil Aryal, Xiaohui Zhao

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest.

Xiangyu Song, Sunil Aryal, Kai Ming Ting, Zhen Liu, Bin He

IEEE Trans. Geosci. Remote. Sens., 2022

A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?

KC Santosh, Nicholas Rasmussen, Muntasir Mamun, Sunil Aryal

PeerJ Comput. Sci., 2022

Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks.

Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal

CoRR, 2022

sGrid++: Revising Simple Grid Based Density Estimator for Mining Outlying Aspect.

Durgesh Samariya, Jiangang Ma, Sunil Aryal

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal

Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, 2022

A Fusion of Handcrafted Feature-Based and Deep Learning Classifiers for Heart Murmur Detection.

Zaria Imran, Ethan Grooby, Vinayaka Vivekananda Malgi, Chiranjibi Sitaula, Sunil Aryal, Faezeh Marzbanrad

Proceedings of the Computing in Cardiology, 2022

2021

Nepaliliinguistic.

Anish Basnet, Chiranjibi Sitaula, Sunil Aryal

Dataset, March, 2021

Vector representation based on a supervised codebook for Nepali documents classification.

Chiranjibi Sitaula, Anish Basnet, Sunil Aryal

PeerJ Comput. Sci., 2021

usfAD: a robust anomaly detector based on unsupervised stochastic forest.

Sunil Aryal, KC Santosh, Richard Dazeley

Int. J. Mach. Learn. Cybern., 2021

Content and context features for scene image representation.

Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu

Knowl. Based Syst., 2021

New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis.

Chiranjibi Sitaula, Sunil Aryal

Health Inf. Sci. Syst., 2021

Scene image representation by foreground, background and hybrid features.

Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu

Expert Syst. Appl., 2021

A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement.

Arbind Agrahari Baniya, Sunil Aryal, KC Santosh

CoRR, 2021

Levels of explainable artificial intelligence for human-aligned conversational explanations.

Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz

Artif. Intell., 2021

Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data.

Sunil Aryal, Jonathan R. Wells

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms.

Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning.

Jonathan R. Wells, Sunil Aryal, Kai Ming Ting

Knowl. Inf. Syst., 2020

Fusion of whole and part features for the classification of histopathological image of breast tissue.

Chiranjibi Sitaula, Sunil Aryal

Health Inf. Sci. Syst., 2020

A comparative study of data-dependent approaches without learning in measuring similarities of data objects.

Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari

Data Min. Knowl. Discov., 2020

A Comprehensive Survey on Outlying Aspect Mining Methods.

Durgesh Samariya, Jiangang Ma, Sunil Aryal

CoRR, 2020

A New Effective and Efficient Measure for Outlying Aspect Mining.

Durgesh Samariya, Sunil Aryal, Kai Ming Ting, Jiangang Ma

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

HDF: Hybrid Deep Features for Scene Image Representation.

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Improved histogram-based anomaly detector with the extended principal component features.

Sunil Aryal, Arbind Agrahari Baniya, KC Santosh

CoRR, 2019

A new simple and effective measure for bag-of-word inter-document similarity measurement.

Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari

CoRR, 2019

A novel data pre-processing technique robust to units and scales of measurement.

Arbind Agrahari Baniya, Sunil Aryal, KC Santosh

Aust. J. Intell. Inf. Process. Syst., 2019

Indoor Image Representation by High-Level Semantic Features.

Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal

IEEE Access, 2019

Unsupervised Deep Features for Privacy Image Classification.

Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu

Proceedings of the Image and Video Technology - 9th Pacific-Rim Symposium, 2019

Tag-Based Semantic Features for Scene Image Classification.

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Anomaly Detection Technique Robust to Units and Scales of Measurement.

Sunil Aryal

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Novel Perceptual Dissimilarity Measure for Image Retrieval.

Hamid Shojanazeri, Dengsheng Zhang, Shyh Wei Teng, Sunil Aryal, Guojun Lu

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Image Clustering Using a Similarity Measure Incorporating Human Perception.

Hamid Shojanazeri, Sunil Aryal, Shyh Wei Teng, Dengsheng Zhang, Guojun Lu

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level.

Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Which Outlier Detector Should I use?

Kai Ming Ting, Sunil Aryal, Takashi Washio

Proceedings of the IEEE International Conference on Data Mining, 2018

Modeling neurocognitive reaction time with gamma distribution.

Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein

Proceedings of the Australasian Computer Science Week Multiconference, 2018

2017

A data-dependent dissimilarity measure: An effective alternative to distance measures.

Sunil Aryal

PhD thesis, 2017

Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors.

Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Sunil Aryal

Mach. Learn., 2017

Data-dependent dissimilarity measure: an effective alternative to geometric distance measures.

Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari

Knowl. Inf. Syst., 2017

2016

A Generic Ensemble Approach to Estimate Multidimensional Likelihood in Bayesian Classifier Learning.

Sunil Aryal, Kai Ming Ting

Comput. Intell., 2016

Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection.

Sunil Aryal, Kai Ming Ting, Gholamreza Haffari

Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

2015

Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure.

Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio

Proceedings of the Information Retrieval Technology, 2015

2014

Improving iForest with Relative Mass.

Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Mp-Dissimilarity: A Data Dependent Dissimilarity Measure.

Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

DEMass: a new density estimator for big data.

Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu, Sunil Aryal

Knowl. Inf. Syst., 2013

MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation.

Sunil Aryal, Kai Ming Ting

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013