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  2023 (13)
Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. Ly, A.; Dazeley, R.; Vamplew, P.; Cruz, F.; and Aryal, S. In Proceedings of the 2023 International Joint Conference on Neural Networks (IJCNN), pages 01-06, 2023.
doi   link   bibtex  
Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model. Agrahari Baniya, A.; Lee, T.; Eklund, P. W.; Aryal, S.; and Robles-Kelly, A. Neurocomputing, 546. 2023.
Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model [link]Paper   doi   link   bibtex   1 download  
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Talukder, M. A.; Islam, M. M.; Uddin, M. A.; Akhter, A.; Pramanik, M. A. J.; Aryal, S.; Almoyad, M. A. A.; Hasan, K. F.; and Moni, M. A. Expert Systems with Applications, 230. 2023.
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning [link]Paper   doi   link   bibtex  
Omnidirectional Video Super-Resolution using Deep Learning. Baniya, A. A.; Lee, T.; Eklund, P. W.; and Aryal, S. IEEE Transactions on Multimedia,1-15. 2023.
doi   link   bibtex  
PERCY: A post-hoc explanation-based score for logic rule dissemination consistency assessment in sentiment classification. Gupta, S.; Bouadjenek, M. R.; and Robles-Kelly, A. Knowledge-Based Systems,110685. 2023.
PERCY: A post-hoc explanation-based score for logic rule dissemination consistency assessment in sentiment classification [link]Paper   doi   link   bibtex  
A User-Centric Analysis of Social Media for Stock Market Prediction. Bouadjenek, M. R.; Sanner, S.; and Wu, G. ACM Trans. Web. 2023.
A User-Centric Analysis of Social Media for Stock Market Prediction [pdf] paper   link   bibtex   10 downloads  
User Experience and The Role of Personalization in Critiquing-Based Conversational Recommendation. Rana, A.; Sanner, S.; Bouadjenek, M. R.; Dicarlantonio, R.; and Farmaner, G. ACM Trans. Web. 2023.
User Experience and The Role of Personalization in Critiquing-Based Conversational Recommendation [pdf] paper   link   bibtex   17 downloads  
Detection and explanation of anomalies in healthcare data. Samariya, D.; Ma, J.; Aryal, S.; and Zhao, X. Health Information Science and Systems (Accepted), 11(1). 2023.
Detection and explanation of anomalies in healthcare data [link]Paper   doi   link   bibtex   3 downloads  
Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. Malgi, V. V.; Aryal, S.; Rasool, Z.; and Tay, D. In Proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 171–182, Cham, 2023. Springer Nature Switzerland
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A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach. Halder, R. K.; Uddin, M. N.; Uddin, M. A.; Aryal, S.; Islam, M. A.; Hossain, F.; Jahan, N.; Khraisat, A.; and Alazab, A. Genes, 14(3). 2023.
A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach [link]Paper   doi   link   bibtex   1 download  
A Mask-based Logic Rules Dissemination Method for Sentiment Classifiers. Gupta, S.; Bouadjenek, M. R.; and Robles-Kelly, A. In Advances in Information Retrieval: 45th European Conference on IR Research, of ECIR '22, Cham, 2023. Springer International Publishing
A Mask-based Logic Rules Dissemination Method for Sentiment Classifiers [pdf] paper   link   bibtex   2 downloads  
Overcoming weaknesses of density peak clustering using a data-dependent similarity measure. Rasool, Z.; Aryal, S.; Bouadjenek, M. R.; and Dazeley, R. Pattern Recognition, 137: 109287. 2023.
Overcoming weaknesses of density peak clustering using a data-dependent similarity measure [link]Paper   Overcoming weaknesses of density peak clustering using a data-dependent similarity measure [pdf] paper   doi   link   bibtex   2 downloads  
Towards understanding and mitigating unintended biases in language model-driven conversational recommendation. Shen, T.; Li, J.; Bouadjenek, M. R.; Mai, Z.; and Sanner, S. Information Processing & Management, 60(1): 103139. 2023.
Towards understanding and mitigating unintended biases in language model-driven conversational recommendation [link]Paper   Towards understanding and mitigating unintended biases in language model-driven conversational recommendation [pdf] paper   doi   link   bibtex   67 downloads  
  2022 (13)
Spectral–Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest. Song, X.; Aryal, S.; Ting, K. M.; Liu, Z.; and He, B. IEEE Transactions on Geoscience and Remote Sensing, 60: 1-16. 2022.
Spectral–Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest [link] paper   doi   link   bibtex  
Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment. Huynh, N.; Bouadjenek, M.; Hassani, A.; Razzak, I.; Lee, K.; Arora, C.; and Zaslavsky, A. In 2022 23rd IEEE International Conference on Mobile Data Management (MDM), pages 318-321, Los Alamitos, CA, USA, jun 2022. IEEE Computer Society
Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment [link]Paper   Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment [pdf] paper   doi   link   bibtex   11 downloads  
Marine-tree: A Large-scale Hierarchically Annotated Dataset for Marine Organism Classification. Boone-Sifuentes, T.; Nazari, A.; Razzak, I.; Bouadjenek, M. R.; Robles-Kelly, A.; Ierodiaconou, D.; and Oh, E. S. In Proceedings of the 31th ACM International Conference on Information & Knowledge Management, of CIKM '22, New York, NY, USA, 2022. Association for Computing Machinery
Marine-tree: A Large-scale Hierarchically Annotated Dataset for Marine Organism Classification [link]Paper   Marine-tree: A Large-scale Hierarchically Annotated Dataset for Marine Organism Classification [pdf] paper   doi   link   bibtex   2 downloads  
A Mask-based Output Layer for Multi-level Hierarchical Classification. Boone-Sifuentes, T.; Bouadjenek, M. R.; Razzak, I.; Hacid, H.; and Nazari, A. In Proceedings of the 31th ACM International Conference on Information & Knowledge Management, of CIKM '22, New York, NY, USA, 2022. Association for Computing Machinery
A Mask-based Output Layer for Multi-level Hierarchical Classification [link]Paper   A Mask-based Output Layer for Multi-level Hierarchical Classification [pdf] paper   doi   link   bibtex   4 downloads  
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?. Santosh, K.; Rasmussen, N.; Mamun, M.; and Aryal, S. PeerJ Computer Science, 8: e958. 2022.
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19? [link] paper   link   bibtex  
ModelOps for enhanced decision-making and governance in emergency control rooms. Lefevre, K.; Arora, C.; Lee, K.; Zaslavsky, A.; Bouadjenek, M. R.; Hassani, A.; and Razzak, I. Environment Systems and Decisions,1–15. 2022.
ModelOps for enhanced decision-making and governance in emergency control rooms [pdf] paper   link   bibtex  
Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data. Razzak, I.; Naz, S.; Ashraf, A.; Khalifa, F.; Bouadjenek, M. R.; and Mumtaz, S. International Journal of Intelligent Systems. 2022.
Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data [pdf] paper   link   bibtex  
Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-Based Recommender Systems. Gao, Z.; Shen, T.; Mai, Z.; Bouadjenek, M. R.; Waller, I.; Anderson, A.; Bodkin, R.; and Sanner, S. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, of SIGIR '22, pages 2524–2531, New York, NY, USA, 2022. Association for Computing Machinery
Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-Based Recommender Systems [link]Paper   Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-Based Recommender Systems [pdf] paper   doi   link   bibtex   43 downloads  
A longitudinal study of topic classification on Twitter. Bouadjenek, M. R.; Sanner, S.; Iman, Z.; Xie, L.; and Shi, D. X. PeerJ Computer Science, 8: e991. 2022.
A longitudinal study of topic classification on Twitter [pdf] paper   link   bibtex   18 downloads  
An Analysis of Logic Rule Dissemination in Sentiment Classifiers. Gupta, S.; Bouadjenek, M. R.; and Robles-Kelly, A. In Experimental IR Meets Multilinguality, Multimodality, and Interaction, pages 118–124, Cham, 2022. Springer International Publishing
An Analysis of Logic Rule Dissemination in Sentiment Classifiers [pdf] paper   link   bibtex   2 downloads  
Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence. Nguyen, T. T.; Abdelrazek, M.; Nguyen, D. T.; Aryal, S.; Nguyen, D. T.; Reddy, S.; Nguyen, Q. V. H.; Khatami, A.; Nguyen, T. T.; Hsu, E. B.; and Yang, S. Machine Learning with Applications, 9: 100328. 2022.
Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence [link]Paper   doi   link   bibtex  
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?. Santosh, K.; Rasmussen, N.; Mamun, M.; and Aryal, S. PeerJ Computer Science, 8: e958. 2022.
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19? [link] paper   link   bibtex  
NDVI Threshold-Based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia. Aryal, J.; Sitaula, C.; and Aryal, S. Land, 11(3): 351. 2022.
NDVI Threshold-Based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia [link] paper   link   bibtex  
  2021 (12)
Feature Extraction Functions for Neural Logic Rule Learning. Gupta, S.; Robles-Kelly, A.; and Bouadjenek, M. R. In Torsello, A.; Rossi, L.; Pelillo, M.; Biggio, B.; and Robles-Kelly, A., editor(s), Structural, Syntactic, and Statistical Pattern Recognition, pages 98–107, Cham, 2021. Springer International Publishing
Feature Extraction Functions for Neural Logic Rule Learning [pdf] paper   link   bibtex   1 download  
A Workflow Analysis of Context-Driven Conversational Recommendation. Lyu, S.; Rana, A.; Sanner, S.; and Bouadjenek, M. R. In Proceedings of the Web Conference 2021, of WWW '21, pages 866–877, New York, NY, USA, 2021. Association for Computing Machinery
A Workflow Analysis of Context-Driven Conversational Recommendation [link]Paper   A Workflow Analysis of Context-Driven Conversational Recommendation [pdf] paper   doi   link   bibtex   2 downloads  
Multilevel depth-wise context attention network with atrous mechanism for segmentation of covid19 affected regions. Qayyum, A.; Mazhar, M.; Razzak, I.; and Bouadjenek, M. R. Neural Computing and Applications,1–13. 2021.
Multilevel depth-wise context attention network with atrous mechanism for segmentation of covid19 affected regions [pdf] paper   link   bibtex  
usfAD: a robust anomaly detector based on unsupervised stochastic forest. Aryal, S.; Santosh, K.; and Dazeley, R. International Journal of Machine Learning and Cybernetics, 12(4): 1137–1150. 2021.
usfAD: a robust anomaly detector based on unsupervised stochastic forest [link] paper   link   bibtex  
Levels of explainable artificial intelligence for human-aligned conversational explanations. Dazeley, R.; Vamplew, P.; Foale, C.; Young, C.; Aryal, S.; and Cruz, F. Artificial Intelligence, 299: 103525. 2021.
Levels of explainable artificial intelligence for human-aligned conversational explanations [link] paper   link   bibtex  
Vector representation based on a supervised codebook for Nepali documents classification. Sitaula, C.; Basnet, A.; and Aryal, S. PeerJ Computer Science, 7: e412. 2021.
Vector representation based on a supervised codebook for Nepali documents classification [link] paper   link   bibtex  
Content and context features for scene image representation. Sitaula, C.; Aryal, S.; Xiang, Y.; Basnet, A.; and Lu, X. Knowledge-Based Systems, 232: 107470. 2021.
Content and context features for scene image representation [link] paper   link   bibtex  
Scene image representation by foreground, background and hybrid features. Sitaula, C.; Xiang, Y.; Aryal, S.; and Lu, X. Expert Systems with Applications, 182: 115285. 2021.
Scene image representation by foreground, background and hybrid features [link] paper   link   bibtex  
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis. Sitaula, C.; and Aryal, S. Health information science and systems, 9(1): 1–12. 2021.
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis [link] paper   link   bibtex  
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection. Sitaula, C.; Shahi, T. B.; Aryal, S.; and Marzbanrad, F. Scientific reports, 11(1): 1–12. 2021.
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection [link] paper   link   bibtex  
Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data. Aryal, S.; and Wells, J. R In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 687–702, 2021. Springer
Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data [link] paper   link   bibtex  
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. Aryal, S.; Baniya, A. A.; Razzak, I.; and Santosh, K. In 2021 International Joint Conference on Neural Networks (IJCNN), pages 1–7, 2021. IEEE
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms [link] paper   link   bibtex  
  2020 (7)
Relevance- and interface-driven clustering for visual information retrieval. Bouadjenek, M. R.; Sanner, S.; and Du, Y. Information Systems, 94: 101592. 2020.
Relevance- and interface-driven clustering for visual information retrieval [link]Paper   Relevance- and interface-driven clustering for visual information retrieval [pdf] paper   doi   link   bibtex   56 downloads  
Bayesian Networks for Data Integration in the Absence of Foreign Keys. Zhang, B.; Sanner, S.; Bouadjenek, M. R.; and Gupta, S. IEEE Transactions on Knowledge and Data Engineering, 32(4): 803-808. 2020.
Bayesian Networks for Data Integration in the Absence of Foreign Keys [pdf] paper   doi   link   bibtex  
A comparative study of data-dependent approaches without learning in measuring similarities of data objects. Aryal, S.; Ting, K. M.; Washio, T.; and Haffari, G. Data mining and knowledge discovery, 34(1): 124–162. 2020.
A comparative study of data-dependent approaches without learning in measuring similarities of data objects [link] paper   link   bibtex  
Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning. Wells, J. R; Aryal, S.; and Ting, K. M. Knowledge and Information Systems, 62(8): 3203–3216. 2020.
Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning [link] paper   link   bibtex  
Fusion of whole and part features for the classification of histopathological image of breast tissue. Sitaula, C.; and Aryal, S. Health Information Science and Systems, 8(1): 1–12. 2020.
Fusion of whole and part features for the classification of histopathological image of breast tissue [link] paper   link   bibtex  
Hdf: Hybrid deep features for scene image representation. Sitaula, C.; Xiang, Y.; Basnet, A.; Aryal, S.; and Lu, X. In 2020 International Joint Conference on Neural Networks (IJCNN), pages 1–8, 2020. IEEE
Hdf: Hybrid deep features for scene image representation [link] paper   link   bibtex  
A new effective and efficient measure for outlying aspect mining. Samariya, D.; Aryal, S.; Ting, K. M.; and Ma, J. In International Conference on Web Information Systems Engineering, pages 463–474, 2020. Springer
A new effective and efficient measure for outlying aspect mining [link] paper   link   bibtex