Sunil Aryal

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 83

Top Topics

Similarity Measure

Anomaly Detection

Top Venues

Expert Syst. Appl.

Health Inf. Sci. Syst.

Publications

Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, Mohamed Reda Bouadjenek, Uk-Min Seok, Jongwon Seok
: A deep learning-based accessible parking management system. Expert Syst. Appl. 238 (Part F) (2024)
Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md. Ashraf Uddin, Sunil Aryal
Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture. Comput. Biol. Medicine 168 (2024)
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
Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma. CoRR (2024)
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
A Survey of Deep Learning Video Super-Resolution. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Md Naimul Pathan, Maisha Muntaha, Selina Sharmin, Sajeeb Saha, Md. Ashraf Uddin, Fernaz Narin Nur, Sunil Aryal
Priority based energy and load aware routing algorithms for SDN enabled data center network. Comput. Networks 240 (2024)
Md. Alamin Talukder, Selina Sharmin, Md. Ashraf Uddin, Md. Manowarul Islam, Sunil Aryal
MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs. Int. J. Inf. Sec. 23 (3) (2024)
Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats. CoRR (2024)
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models. SN Comput. Sci. 5 (3) (2024)
Youran Zhou, Sunil Aryal, Mohamed Reda Bouadjenek
Review for Handling Missing Data with special missing mechanism. CoRR (2024)
Ahmed Mohamed Ahmed, Thanh Thi Nguyen, Mohamed Almorsy Abdelrazek, Sunil Aryal
Reinforcement learning-based autonomous attacker to uncover computer network vulnerabilities. Neural Comput. Appl. 36 (23) (2024)
Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal
Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks. Neurocomputing 576 (2024)
Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder
usfAD Based Effective Unknown Attack Detection Focused IDS Framework. CoRR (2024)
Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Sunil Aryal, Hakim Hacid
Data Quality in Edge Machine Learning: A State-of-the-Art Survey. CoRR (2024)
Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal
The Pursuit of Fairness in Artificial Intelligence Models: A Survey. CoRR (2024)
Md. Alamin Talukder, Selina Sharmin, Md. Ashraf Uddin, Md. Manowarul Islam, Sunil Aryal
MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs. CoRR (2024)
Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder
Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis. CoRR (2024)
Rajib Kumar Halder, Mohammed Nasir Uddin, Ashraf Uddin, Sunil Aryal, Ansam Khraisat
Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications. J. Big Data 11 (1) (2024)
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal
Data-driven Machinery Fault Detection: A Comprehensive Review. CoRR (2024)
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
Omnidirectional Video Super-Resolution Using Deep Learning. IEEE Trans. Multim. 26 (2024)
Aymen Rayane Khouas, Mohamed Reda Bouadjenek, Hakim Hacid, Sunil Aryal
Training Machine Learning models at the Edge: A Survey. CoRR (2024)
Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya, KC Santosh
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing. CoRR (2024)
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
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Expert Syst. Appl. 230 (2023)
Zafaryab Rasool, Sunil Aryal, Mohamed Reda Bouadjenek, Richard Dazeley
Overcoming weaknesses of density peak clustering using a data-dependent similarity measure. Pattern Recognit. 137 (2023)
Durgesh Samariya, Jiangang Ma, Sunil Aryal, Xiaohui Zhao
Detection and explanation of anomalies in healthcare data. Health Inf. Sci. Syst. 11 (1) (2023)
Abida Sultana, Sadia Jannat Mitu, Md Naimul Pathan, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal
4mC-CGRU: Identification of N4-Methylcytosine (4mC) sites using convolution gated recurrent unit in Rosaceae genome. Comput. Biol. Chem. 107 (2023)
Dhiraj Neupane, Lakpa Dorje Tamang, Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal
HUMS2023 Data Challenge Result Submission. CoRR (2023)
Durgesh Samariya, Jiangang Ma, Sunil Aryal, Xiaohui Zhao
Detection of Anomalies and Explanation in Cybersecurity. ICONIP (13) (2023)
Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, Mohamed Reda Bouadjenek, Uk-Min Seok, Jongwon Seok
SHINE: Deep Learning-Based Accessible Parking Management System. CoRR (2023)
Ahmed Mohamed Ahmed, Mohamed Abdelrazek, Sunil Aryal, Thanh Thi Nguyen
An overview of Eulerian video motion magnification methods. Comput. Graph. 117 (2023)
Vinayaka Vivekananda Malgi, Sunil Aryal, Zafaryab Rasool, David Tay
Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. PAKDD (1) (2023)
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
A robust and clinically applicable deep learning model for early detection of Alzheimer's. IET Image Process. 17 (14) (2023)
Md. Bayazid Rahman, Joy Dhon Chakma, Abdul Momin, Shahidul Islam, Ashraf Uddin, Md Aminul Islam, Sunil Aryal
Smart Crop Cultivation System Using Automated Agriculture Monitoring Environment in the Context of Bangladesh Agriculture. Sensors 23 (20) (2023)
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal, Antonio Robles-Kelly
Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model. Neurocomputing 546 (2023)
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
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. CoRR (2023)
Md. Amirul Islam, Ashraf Uddin, Sunil Aryal, Giovanni Stea
An ensemble learning approach for anomaly detection in credit card data with imbalanced and overlapped classes. J. Inf. Secur. Appl. 78 (2023)
Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md. Ashraf Uddin, Sunil Aryal
Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture. CoRR (2023)
Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal
Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. IJCNN (2023)
Zaria Imran, Ethan Grooby, Vinayaka Vivekananda Malgi, Chiranjibi Sitaula, Sunil Aryal, Faezeh Marzbanrad
A Fusion of Handcrafted Feature-Based and Deep Learning Classifiers for Heart Murmur Detection. CinC (2022)
Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks. CoRR (2022)
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models. SIGMAP (2022)
K. C. Santosh, Nicholas Rasmussen, Muntasir Mamun, Sunil Aryal
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19? PeerJ Comput. Sci. 8 (2022)
Xiangyu Song, Sunil Aryal, Kai Ming Ting, Zhen Liu, Bin He
Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Durgesh Samariya, Jiangang Ma, Sunil Aryal
sGrid++: Revising Simple Grid Based Density Estimator for Mining Outlying Aspect. WISE (2022)
Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz
Levels of explainable artificial intelligence for human-aligned conversational explanations. Artif. Intell. 299 (2021)
Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, K. C. Santosh
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. IJCNN (2021)
Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz
Levels of explainable artificial intelligence for human-aligned conversational explanations. CoRR (2021)
Sunil Aryal, Jonathan R. Wells
Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data. ECML/PKDD (1) (2021)
Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu
Content and context features for scene image representation. Knowl. Based Syst. 232 (2021)
Sunil Aryal, K. C. Santosh, Richard Dazeley
usfAD: a robust anomaly detector based on unsupervised stochastic forest. Int. J. Mach. Learn. Cybern. 12 (4) (2021)
Chiranjibi Sitaula, Anish Basnet, Sunil Aryal
Vector representation based on a supervised codebook for Nepali documents classification. PeerJ Comput. Sci. 7 (2021)
Chiranjibi Sitaula, Sunil Aryal
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis. Health Inf. Sci. Syst. 9 (1) (2021)
Arbind Agrahari Baniya, Sunil Aryal, K. C. Santosh
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement. CoRR (2021)
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu
Scene image representation by foreground, background and hybrid features. Expert Syst. Appl. 182 (2021)
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu
Scene Image Representation by Foreground, Background and Hybrid Features. CoRR (2020)
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
HDF: Hybrid Deep Features for Scene Image Representation. IJCNN (2020)
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
HDF: Hybrid Deep Features for Scene Image Representation. CoRR (2020)
Jonathan R. Wells, Sunil Aryal, Kai Ming Ting
Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning. Knowl. Inf. Syst. 62 (8) (2020)
Chiranjibi Sitaula, Sunil Aryal
Fusion of whole and part features for the classification of histopathological image of breast tissue. Health Inf. Sci. Syst. 8 (1) (2020)
Durgesh Samariya, Sunil Aryal, Kai Ming Ting
A new effective and efficient measure for outlying aspect mining. CoRR (2020)
Durgesh Samariya, Jiangang Ma, Sunil Aryal
A Comprehensive Survey on Outlying Aspect Mining Methods. CoRR (2020)
Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu
Content and Context Features for Scene Image Representation. CoRR (2020)
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
A comparative study of data-dependent approaches without learning in measuring similarities of data objects. Data Min. Knowl. Discov. 34 (1) (2020)
Chiranjibi Sitaula, Sunil Aryal
New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis. CoRR (2020)
Durgesh Samariya, Sunil Aryal, Kai Ming Ting, Jiangang Ma
A New Effective and Efficient Measure for Outlying Aspect Mining. WISE (2) (2020)
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
Tag-based Semantic Features for Scene Image Classification. CoRR (2019)
Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal
Indoor image representation by high-level semantic features. CoRR (2019)
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu
Unsupervised Deep Features for Privacy Image Classification. CoRR (2019)
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu
Unsupervised Deep Features for Privacy Image Classification. PSIVT (2019)
Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal
Indoor Image Representation by High-Level Semantic Features. IEEE Access 7 (2019)
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
A new simple and effective measure for bag-of-word inter-document similarity measurement. CoRR (2019)
Sunil Aryal, Arbind Agrahari Baniya, K. C. Santosh
Improved histogram-based anomaly detector with the extended principal component features. CoRR (2019)
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
Tag-Based Semantic Features for Scene Image Classification. ICONIP (3) (2019)
Arbind Agrahari Baniya, Sunil Aryal, K. C. Santosh
A novel data pre-processing technique robust to units and scales of measurement. Aust. J. Intell. Inf. Process. Syst. 16 (3) (2019)
Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein
Modeling neurocognitive reaction time with gamma distribution. ACSW (2018)
Sunil Aryal
Anomaly Detection Technique Robust to Units and Scales of Measurement. PAKDD (1) (2018)
Kai Ming Ting, Sunil Aryal, Takashi Washio
Which Outlier Detector Should I use? ICDM (2018)
Hamid Shojanazeri, Sunil Aryal, Shyh Wei Teng, Dengsheng Zhang, Guojun Lu
Image Clustering Using a Similarity Measure Incorporating Human Perception. IVCNZ (2018)
Hamid Shojanazeri, Dengsheng Zhang, Shyh Wei Teng, Sunil Aryal, Guojun Lu
A Novel Perceptual Dissimilarity Measure for Image Retrieval. IVCNZ (2018)
Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein
Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level. ICONIP (7) (2018)
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
Data-dependent dissimilarity measure: an effective alternative to geometric distance measures. Knowl. Inf. Syst. 53 (2) (2017)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Sunil Aryal
Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors. Mach. Learn. 106 (1) (2017)
Sunil Aryal, Kai Ming Ting
A Generic Ensemble Approach to Estimate Multidimensional Likelihood in Bayesian Classifier Learning. Comput. Intell. 32 (3) (2016)
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari
Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection. PAISI (2016)
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio
Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure. AIRS (2015)
Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Improving iForest with Relative Mass. PAKDD (2) (2014)
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio
Mp-Dissimilarity: A Data Dependent Dissimilarity Measure. ICDM (2014)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu, Sunil Aryal
DEMass: a new density estimator for big data. Knowl. Inf. Syst. 35 (3) (2013)
Sunil Aryal, Kai Ming Ting
MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation. PAKDD (1) (2013)