MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation. - Sunil Aryal; Kai Ming Ting (PAKDD (1), 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)

Mp-Dissimilarity: A Data Dependent Dissimilarity Measure. - Sunil Aryal; Kai Ming Ting; Gholamreza Haffari; Takashi Washio (ICDM, 2014)

Improving iForest with Relative Mass. - Sunil Aryal; Kai Ming Ting; Jonathan R. Wells; Takashi Washio (PAKDD (2), 2014)

Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure. - Sunil Aryal; Kai Ming Ting; Gholamreza Haffari; Takashi Washio (AIRS, 2015)

Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection. - Sunil Aryal; Kai Ming Ting; Gholamreza Haffari (PAISI, 2016)

A Generic Ensemble Approach to Estimate Multidimensional Likelihood in Bayesian Classifier Learning. - Sunil Aryal; Kai Ming Ting (Comput. Intell., 2016)

Data-dependent dissimilarity measure: an effective alternative to geometric distance measures. - Sunil Aryal; Kai Ming Ting; Takashi Washio; Gholamreza Haffari (Knowl. Inf. Syst., 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)

A data-dependent dissimilarity measure: An effective alternative to distance measures. - Sunil Aryal (2017)

Modeling neurocognitive reaction time with gamma distribution. - Meena Santhanagopalan; Madhu Chetty; Cameron Foale; Sunil Aryal; Britt Klein (ACSW, 2018)

Which Outlier Detector Should I use? - Kai Ming Ting; Sunil Aryal; Takashi Washio (ICDM, 2018)

Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level. - Meena Santhanagopalan; Madhu Chetty; Cameron Foale; Sunil Aryal; Britt Klein (ICONIP (7), 2018)

Image Clustering Using a Similarity Measure Incorporating Human Perception. - Hamid Shojanazeri; Sunil Aryal; Shyh Wei Teng; Dengsheng Zhang; Guojun Lu (IVCNZ, 2018)

A Novel Perceptual Dissimilarity Measure for Image Retrieval. - Hamid Shojanazeri; Dengsheng Zhang; Shyh Wei Teng; Sunil Aryal; Guojun Lu (IVCNZ, 2018)

Anomaly Detection Technique Robust to Units and Scales of Measurement. - Sunil Aryal (PAKDD (1), 2018)

Tag-Based Semantic Features for Scene Image Classification. - Chiranjibi Sitaula; Yong Xiang 001; Anish Basnet; Sunil Aryal; Xuequan Lu (ICONIP (3), 2019)

Unsupervised Deep Features for Privacy Image Classification. - Chiranjibi Sitaula; Yong Xiang 001; Sunil Aryal; Xuequan Lu (PSIVT, 2019)

Indoor Image Representation by High-Level Semantic Features. - Chiranjibi Sitaula; Yong Xiang 001; Yushu Zhang 001; Xuequan Lu; Sunil Aryal (IEEE Access, 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)

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)

Improved histogram-based anomaly detector with the extended principal component features. - Sunil Aryal; Arbind Agrahari Baniya; KC Santosh (CoRR, 2019)

HDF: Hybrid Deep Features for Scene Image Representation. - Chiranjibi Sitaula; Yong Xiang 001; Anish Basnet; Sunil Aryal; Xuequan Lu (IJCNN, 2020)

A New Effective and Efficient Measure for Outlying Aspect Mining. - Durgesh Samariya; Sunil Aryal; Kai Ming Ting; Jiangang Ma (WISE (2), 2020)

A Comprehensive Survey on Outlying Aspect Mining Methods. - Durgesh Samariya; Jiangang Ma; Sunil Aryal (CoRR, 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)

Fusion of whole and part features for the classification of histopathological image of breast tissue. - Chiranjibi Sitaula; Sunil Aryal (Health Inf. Sci. Syst., 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)

SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. - Sunil Aryal; Arbind Agrahari Baniya; Imran Razzak; KC Santosh (IJCNN, 2021)

Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data. - Sunil Aryal; Jonathan R. Wells (ECML/PKDD (1), 2021)

Levels of explainable artificial intelligence for human-aligned conversational explanations. - Richard Dazeley; Peter Vamplew 001; Cameron Foale; Charlotte Young; Sunil Aryal; Francisco Cruz 002 (Artif. Intell., 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)

Scene image representation by foreground, background and hybrid features. - Chiranjibi Sitaula; Yong Xiang 001; Sunil Aryal; Xuequan Lu (Expert Syst. Appl., 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)

Content and context features for scene image representation. - Chiranjibi Sitaula; Sunil Aryal; Yong Xiang 001; Anish Basnet; Xuequan Lu (Knowl. Based Syst., 2021)

usfAD: a robust anomaly detector based on unsupervised stochastic forest. - Sunil Aryal; KC Santosh; Richard Dazeley (Int. J. Mach. Learn. Cybern., 2021)

Vector representation based on a supervised codebook for Nepali documents classification. - Chiranjibi Sitaula; Anish Basnet; Sunil Aryal (PeerJ Comput. Sci., 2021)

Nepaliliinguistic. - Anish Basnet; Chiranjibi Sitaula; Sunil Aryal (IEEE DataPort, 2021)

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 (CinC, 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 (SIGMAP, 2022)

sGrid++: Revising Simple Grid Based Density Estimator for Mining Outlying Aspect. - Durgesh Samariya; Jiangang Ma; Sunil Aryal (WISE, 2022)

Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks. - Adrian Ly; Richard Dazeley; Peter Vamplew 001; Francisco Cruz 002; Sunil Aryal (CoRR, 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)

Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest. - Xiangyu Song; Sunil Aryal; Kai Ming Ting; Zhen Liu 006; Bin He (IEEE Trans. Geosci. Remote. Sens., 2022)

Detection of Anomalies and Explanation in Cybersecurity. - Durgesh Samariya; Jiangang Ma; Sunil Aryal; Xiaohui Zhao (ICONIP (13), 2023)

Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. - Adrian Ly; Richard Dazeley; Peter Vamplew 001; Francisco Cruz 002; Sunil Aryal (IJCNN, 2023)

Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. - Vinayaka Vivekananda Malgi; Sunil Aryal; Zafaryab Rasool; David Tay (PAKDD (1), 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)

HUMS2023 Data Challenge Result Submission. - Dhiraj Neupane; Lakpa Dorje Tamang; Ngoc Dung Huynh; Mohamed Reda Bouadjenek; Sunil Aryal (CoRR, 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 001; Sunil Aryal; Naif Mohammed Alotaibi; Salem A. Alyami; Khondokar Fida Hasan; Mohammad Ali Moni (IET Image Process., 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)

Overcoming weaknesses of density peak clustering using a data-dependent similarity measure. - Zafaryab Rasool; Sunil Aryal; Mohamed Reda Bouadjenek; Richard Dazeley (Pattern Recognit., 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 004; Md Aminul Islam; Sunil Aryal (Sensors, 2023)

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. - Md. Alamin Talukder; Md. Manowarul Islam; Md. Ashraf Uddin 001; Arnisha Akhter; Md. Alamgir Jalil Pramanik; Sunil Aryal; Muhammad Ali Abdulllah Almoyad; Khondokar Fida Hasan; Mohammad Ali Moni (Expert Syst. Appl., 2023)

An ensemble learning approach for anomaly detection in credit card data with imbalanced and overlapped classes. - Md. Amirul Islam; Ashraf Uddin 004; Sunil Aryal; Giovanni Stea (J. Inf. Secur. Appl., 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 001; Sunil Aryal (Comput. Biol. Chem., 2023)

An overview of Eulerian video motion magnification methods. - Ahmed Mohamed Ahmed; Mohamed Abdelrazek 001; Sunil Aryal; Thanh Thi Nguyen (Comput. Graph., 2023)

Detection and explanation of anomalies in healthcare data. - Durgesh Samariya; Jiangang Ma; Sunil Aryal; Xiaohui Zhao (Health Inf. Sci. Syst., 2023)

Margin-Bounded Confidence Scores for Out-of-Distribution Detection. - Lakpa Dorje Tamang; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (ICDM, 2024)

Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches? - Youran Zhou; Mohamed Reda Bouadjenek; Sunil Aryal (ECML/PKDD (10), 2024)

Priority based energy and load aware routing algorithms for SDN enabled data center network. - Md Naimul Pathan; Maisha Muntaha; Selina Sharmin; Sajeeb Saha; Md. Ashraf Uddin 001; Fernaz Narin Nur; Sunil Aryal (Comput. Networks, 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)

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma. - Abanti Bhattacharjya; Manowarul Islam; Md. Ashraf Uddin 001; Md. Alamin Talukder; A. K. M. Azad; Sunil Aryal; Bikash Kumar Paul; Wahia Tasnim; Muhammad Ali Abdulllah Almoyad; Mohammad Ali Moni (CoRR, 2024)

Training Machine Learning models at the Edge: A Survey. - Aymen Rayane Khouas; Mohamed Reda Bouadjenek; Hakim Hacid; Sunil Aryal (CoRR, 2024)

usfAD Based Effective Unknown Attack Detection Focused IDS Framework. - Md. Ashraf Uddin 001; Sunil Aryal; Mohamed Reda Bouadjenek; Muna Al-Hawawreh; Md. Alamin Talukder (CoRR, 2024)

The Pursuit of Fairness in Artificial Intelligence Models: A Survey. - Tahsin Alamgir Kheya; Mohamed Reda Bouadjenek; Sunil Aryal (CoRR, 2024)

Review for Handling Missing Data with special missing mechanism. - Youran Zhou; Sunil Aryal; Mohamed Reda Bouadjenek (CoRR, 2024)

Data-driven Machinery Fault Detection: A Comprehensive Review. - Dhiraj Neupane; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (CoRR, 2024)

Data Quality in Edge Machine Learning: A State-of-the-Art Survey. - Mohammed Djameleddine Belgoumri; Mohamed Reda Bouadjenek; Sunil Aryal; Hakim Hacid (CoRR, 2024)

SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset. - Ngoc Dung Huynh; Mohamed Reda Bouadjenek; Sunil Aryal; Imran Razzak; Hakim Hacid (CoRR, 2024)

Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks. - Adrian Ly; Richard Dazeley; Peter Vamplew 001; Francisco Cruz 002; Sunil Aryal (Neurocomputing, 2024)

Omnidirectional Video Super-Resolution Using Deep Learning. - Arbind Agrahari Baniya; Tsz-Kwan Lee; Peter W. Eklund; Sunil Aryal (IEEE Trans. Multim., 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 001; Sunil Aryal (Comput. Biol. Medicine, 2024)

Shine: 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., 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., 2024)

MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs. - Md. Alamin Talukder; Selina Sharmin; Md. Ashraf Uddin 001; Md. Manowarul Islam; Sunil Aryal (Int. J. Inf. Sec., 2024)

Reinforcement learning-based autonomous attacker to uncover computer network vulnerabilities. - Ahmed Mohamed Ahmed; Thanh Thi Nguyen; Mohamed Almorsy Abdelrazek; Sunil Aryal (Neural Comput. Appl., 2024)

A Survey of Deep Learning Video Super-Resolution. - Arbind Agrahari Baniya; Tsz-Kwan Lee; Peter W. Eklund; Sunil Aryal (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications. - Rajib Kumar Halder; Mohammed Nasir Uddin; Ashraf Uddin 004; Sunil Aryal; Ansam Khraisat (J. Big Data, 2024)

Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness. - Tahsin Alamgir Kheya; Mohamed Reda Bouadjenek; Sunil Aryal (WWW, 2025)

Hierarchical classification for intrusion detection system: Effective design and empirical analysis. - Md. Ashraf Uddin 001; Sunil Aryal; Mohamed Reda Bouadjenek; Muna Al-Hawawreh; Md. Alamin Talukder (Ad Hoc Networks, 2025)

A dual-tier adaptive one-class classification IDS for emerging cyberthreats. - Md. Ashraf Uddin 001; Sunil Aryal; Mohamed Reda Bouadjenek; Muna Al-Hawawreh; Md. Alamin Talukder (Comput. Commun., 2025)

Data-driven machinery fault diagnosis: A comprehensive review. - Dhiraj Neupane; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (Neurocomputing, 2025)

A comprehensive study of audio profiling: Methods, applications, challenges, and future directions. - Anil Pudasaini; Muna Al-Hawawreh; Mohamed Reda Bouadjenek; Hakim Hacid; Sunil Aryal (Neurocomputing, 2025)

Visual question answering: from early developments to recent advances - a survey. - Ngoc Dung Huynh; Mohamed Reda Bouadjenek; Sunil Aryal; Imran Razzak; Hakim Hacid (CoRR, 2025)

Handling Incomplete Heterogeneous Data using a Data-Dependent Kernel. - Youran Zhou; Mohamed Reda Bouadjenek; Jonathan R. Wells; Sunil Aryal (CoRR, 2025)

Developing robust methods to handle missing data in real-world applications effectively. - Youran Zhou; Mohamed Reda Bouadjenek; Sunil Aryal (CoRR, 2025)

SVLA: A Unified Speech-Vision-Language Assistant with Multimodal Reasoning and Speech Generation. - Ngoc Dung Huynh; Mohamed Reda Bouadjenek; Imran Razzak; Hakim Hacid; Sunil Aryal (CoRR, 2025)

Action Spotting and Precise Event Detection in Sports: Datasets, Methods, and Challenges. - Hao Xu; Arbind Agrahari Baniya; Sam Well; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (CoRR, 2025)

A Comprehensive Analysis of Large Language Model Outputs: Similarity, Diversity, and Bias. - Brandon Smith; Mohamed Reda Bouadjenek; Tahsin Alamgir Kheya; Phillip Dawson; Sunil Aryal (CoRR, 2025)

Navigating loss manifolds via rigid body dynamics: A promising avenue for robustness and generalisation. - Mohammed Djameleddine Belgoumri; Mohamed Reda Bouadjenek; Hakim Hacid; Imran Razzak; Sunil Aryal (CoRR, 2025)

Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning. - Adrian Ly; Richard Dazeley; Peter Vamplew 001; Francisco Cruz 002; Sunil Aryal (CoRR, 2025)

Bias vs Bias - Dawn of Justice: A Fair Fight in Recommendation Systems. - Tahsin Alamgir Kheya; Mohamed Reda Bouadjenek; Sunil Aryal (CoRR, 2025)

Far From Sight, Far From Mind: Inverse Distance Weighting for Graph Federated Recommendation. - Aymen Rayane Khouas; Mohamed Reda Bouadjenek; Hakim Hacid; Sunil Aryal (CoRR, 2025)

Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study. - Aayushma Pant; Arbind Agrahari Baniya; Tsz-Kwan Lee; Sunil Aryal (CoRR, 2025)

Multi-Scale Attention and Gated Shifting for Fine-Grained Event Spotting in Videos. - Hao Xu; Arbind Agrahari Baniya; Sam Wells; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (CoRR, 2025)

Handling Out-of-Distribution Data: A Survey. - Lakpa Dorje Tamang; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (CoRR, 2025)

Improving out-of-distribution detection by enforcing confidence margin. - Lakpa Dorje Tamang; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (Knowl. Inf. Syst., 2025)

MissDDIM: Deterministic and Efficient Conditional Diffusion for Tabular Data Imputation. - Youran Zhou; Mohamed Reda Bouadjenek; Sunil Aryal (CoRR, 2025)

MissMecha: An All-in-One Python Package for Studying Missing Data Mechanisms. - Youran Zhou; Mohamed Reda Bouadjenek; Sunil Aryal (CoRR, 2025)

TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videos. - Hao Xu; Arbind Agrahari Baniya; Sam Wells; Mohamed Reda Bouadjenek; Richard Dazely; Sunil Aryal (CoRR, 2025)