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2020 – today
- 2024
[j36]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: 107789 (2024)- [j35]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: 110166 (2024) - [j34]Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, Mohamed Reda Bouadjenek, Uk-Min Seok, Jongwon Seok:
Shine: A deep learning-based accessible parking management system. Expert Syst. Appl. 238(Part F): 122205 (2024) - [j33]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): 2139-2158 (2024) - [j32]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: 127170 (2024) - [j31]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): 113 (2024) - [j30]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): 14341-14360 (2024) - [j29]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): 323 (2024) - [j28]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): 2655-2676 (2024) - [j27]Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal:
Omnidirectional Video Super-Resolution Using Deep Learning. IEEE Trans. Multim. 26: 540-554 (2024) - [c24]Youran Zhou, Mohamed Reda Bouadjenek, Sunil Aryal:
Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches? ECML/PKDD (10) 2024: 100-115 - [i28]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 abs/2401.11402 (2024) - [i27]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 abs/2402.13277 (2024) - [i26]Abanti Bhattacharjya, Manowarul Islam, Md. Ashraf Uddin, Md. Alamin Talukder, A. K. M. 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 abs/2402.17807 (2024) - [i25]Aymen Rayane Khouas, Mohamed Reda Bouadjenek, Hakim Hacid, Sunil Aryal:
Training Machine Learning models at the Edge: A Survey. CoRR abs/2403.02619 (2024) - [i24]Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder:
usfAD Based Effective Unknown Attack Detection Focused IDS Framework. CoRR abs/2403.11180 (2024) - [i23]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 abs/2403.13010 (2024) - [i22]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 abs/2403.13013 (2024) - [i21]Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal:
The Pursuit of Fairness in Artificial Intelligence Models: A Survey. CoRR abs/2403.17333 (2024) - [i20]Youran Zhou, Sunil Aryal, Mohamed Reda Bouadjenek:
Review for Handling Missing Data with special missing mechanism. CoRR abs/2404.04905 (2024) - [i19]Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal:
Data-driven Machinery Fault Detection: A Comprehensive Review. CoRR abs/2405.18843 (2024) - [i18]Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Sunil Aryal, Hakim Hacid:
Data Quality in Edge Machine Learning: A State-of-the-Art Survey. CoRR abs/2406.02600 (2024) - 2023
- [j26]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: 107974 (2023) - [j25]Ahmed Mohamed Ahmed, Mohamed Abdelrazek, Sunil Aryal, Thanh Thi Nguyen:
An overview of Eulerian video motion magnification methods. Comput. Graph. 117: 145-163 (2023) - [j24]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: 120534 (2023) - [j23]Durgesh Samariya, Jiangang Ma, Sunil Aryal, Xiaohui Zhao:
Detection and explanation of anomalies in healthcare data. Health Inf. Sci. Syst. 11(1): 20 (2023) - [j22]Md. Masud Rana, Md. Manowarul Islam, Md. Alamin Talukder, Md. Ashraf Uddin, Sunil Aryal, Naif Mohammed 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): 3959-3975 (2023) - [j21]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: 126355 (2023) - [j20]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: 103618 (2023) - [j19]Zafaryab Rasool, Sunil Aryal, Mohamed Reda Bouadjenek, Richard Dazeley:
Overcoming weaknesses of density peak clustering using a data-dependent similarity measure. Pattern Recognit. 137: 109287 (2023) - [j18]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): 8472 (2023) - [c23]Durgesh Samariya, Jiangang Ma, Sunil Aryal, Xiaohui Zhao:
Detection of Anomalies and Explanation in Cybersecurity. ICONIP (13) 2023: 414-426 - [c22]Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal:
Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. IJCNN 2023: 1-6 - [c21]Vinayaka Vivekananda Malgi, Sunil Aryal, Zafaryab Rasool, David Tay:
Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. PAKDD (1) 2023: 171-182 - [i17]Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, Mohamed Reda Bouadjenek, Uk-Min Seok, Jongwon Seok:
SHINE: Deep Learning-Based Accessible Parking Management System. CoRR abs/2302.00837 (2023) - [i16]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 abs/2305.12844 (2023) - [i15]Dhiraj Neupane, Lakpa Dorje Tamang, Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal:
HUMS2023 Data Challenge Result Submission. CoRR abs/2307.03871 (2023) - [i14]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 abs/2311.16593 (2023) - 2022
- [j17]KC 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: e958 (2022) - [j16]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: 1-16 (2022) - [c20]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: 1-4 - [c19]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: 48-58 - [c18]Durgesh Samariya, Jiangang Ma, Sunil Aryal:
sGrid++: Revising Simple Grid Based Density Estimator for Mining Outlying Aspect. WISE 2022: 194-208 - [i13]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 abs/2210.03325 (2022) - 2021
- [j15]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: 103525 (2021) - [j14]Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Scene image representation by foreground, background and hybrid features. Expert Syst. Appl. 182: 115285 (2021) - [j13]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): 24 (2021) - [j12]Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu:
Content and context features for scene image representation. Knowl. Based Syst. 232: 107470 (2021) - [j11]Sunil Aryal, KC Santosh, Richard Dazeley:
usfAD: a robust anomaly detector based on unsupervised stochastic forest. Int. J. Mach. Learn. Cybern. 12(4): 1137-1150 (2021) - [j10]Chiranjibi Sitaula, Anish Basnet, Sunil Aryal:
Vector representation based on a supervised codebook for Nepali documents classification. PeerJ Comput. Sci. 7: e412 (2021) - [c17]Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh:
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. IJCNN 2021: 1-7 - [c16]Sunil Aryal, Jonathan R. Wells:
Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data. ECML/PKDD (1) 2021: 687-702 - [d1]Anish Basnet, Chiranjibi Sitaula, Sunil Aryal:
Nepaliliinguistic. IEEE DataPort, 2021
- [i12]Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz:
Levels of explainable artificial intelligence for human-aligned conversational explanations. CoRR abs/2107.03178 (2021) - [i11]Arbind Agrahari Baniya, Sunil Aryal, KC Santosh:
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement. CoRR abs/2111.04253 (2021) - 2020
- [j9]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): 124-162 (2020) - [j8]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): 38 (2020) - [j7]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): 3203-3216 (2020) - [c15]Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
HDF: Hybrid Deep Features for Scene Image Representation. IJCNN 2020: 1-8 - [c14]Durgesh Samariya, Sunil Aryal, Kai Ming Ting, Jiangang Ma:
A New Effective and Efficient Measure for Outlying Aspect Mining. WISE (2) 2020: 463-474 - [i10]Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
HDF: Hybrid Deep Features for Scene Image Representation. CoRR abs/2003.09773 (2020) - [i9]Durgesh Samariya, Jiangang Ma, Sunil Aryal:
A Comprehensive Survey on Outlying Aspect Mining Methods. CoRR abs/2005.02637 (2020) - [i8]Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Scene Image Representation by Foreground, Background and Hybrid Features. CoRR abs/2006.03199 (2020) - [i7]Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu:
Content and Context Features for Scene Image Representation. CoRR abs/2006.03217 (2020) - [i6]Chiranjibi Sitaula, Sunil Aryal:
New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis. CoRR abs/2012.15413 (2020)
2010 – 2019
- 2019
- [j6]Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal:
Indoor Image Representation by High-Level Semantic Features. IEEE Access 7: 84967-84979 (2019) - [j5]Arbind Agrahari Baniya, Sunil Aryal, KC Santosh:
A novel data pre-processing technique robust to units and scales of measurement. Aust. J. Intell. Inf. Process. Syst. 16(3): 1-8 (2019) - [c13]Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
Tag-Based Semantic Features for Scene Image Classification. ICONIP (3) 2019: 90-102 - [c12]Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Unsupervised Deep Features for Privacy Image Classification. PSIVT 2019: 404-415 - [i5]Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari:
A new simple and effective measure for bag-of-word inter-document similarity measurement. CoRR abs/1902.03402 (2019) - [i4]Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal:
Indoor image representation by high-level semantic features. CoRR abs/1906.04987 (2019) - [i3]Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
Tag-based Semantic Features for Scene Image Classification. CoRR abs/1909.09999 (2019) - [i2]Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu:
Unsupervised Deep Features for Privacy Image Classification. CoRR abs/1909.10708 (2019) - [i1]Sunil Aryal, Arbind Agrahari Baniya, KC Santosh:
Improved histogram-based anomaly detector with the extended principal component features. CoRR abs/1909.12702 (2019) - 2018
- [c11]Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein:
Modeling neurocognitive reaction time with gamma distribution. ACSW 2018: 28:1-28:10 - [c10]Kai Ming Ting, Sunil Aryal, Takashi Washio:
Which Outlier Detector Should I use? ICDM 2018: 8 - [c9]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: 598-609 - [c8]Hamid Shojanazeri, Sunil Aryal, Shyh Wei Teng, Dengsheng Zhang, Guojun Lu:
Image Clustering Using a Similarity Measure Incorporating Human Perception. IVCNZ 2018: 1-6 - [c7]Hamid Shojanazeri, Dengsheng Zhang, Shyh Wei Teng, Sunil Aryal, Guojun Lu:
A Novel Perceptual Dissimilarity Measure for Image Retrieval. IVCNZ 2018: 1-6 - [c6]Sunil Aryal:
Anomaly Detection Technique Robust to Units and Scales of Measurement. PAKDD (1) 2018: 589-601 - 2017
- [b1]Sunil Aryal:
A data-dependent dissimilarity measure: An effective alternative to distance measures. Monash University, Australia, 2017 - [j4]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): 479-506 (2017) - [j3]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): 55-91 (2017) - 2016
- [j2]Sunil Aryal, Kai Ming Ting:
A Generic Ensemble Approach to Estimate Multidimensional Likelihood in Bayesian Classifier Learning. Comput. Intell. 32(3): 458-479 (2016) - [c5]Sunil Aryal, Kai Ming Ting, Gholamreza Haffari:
Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection. PAISI 2016: 73-86 - 2015
- [c4]Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio:
Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure. AIRS 2015: 400-406 - 2014
- [c3]Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio:
Mp-Dissimilarity: A Data Dependent Dissimilarity Measure. ICDM 2014: 707-712 - [c2]Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio:
Improving iForest with Relative Mass. PAKDD (2) 2014: 510-521 - 2013
- [j1]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): 493-524 (2013) - [c1]Sunil Aryal, Kai Ming Ting:
MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation. PAKDD (1) 2013: 136-148
Coauthor Index
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last updated on 2024-10-09 20:33 CEST by the dblp team
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