Dr Sunil Aryal

STAFF PROFILE

Position

Lecturer in Information Technology

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Publications

Filter by

2020

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

Jonathan Wells, Sunil Aryal, Kai Ting

(2020), pp. 1-14, Knowledge and Information Systems, Berlin, Germany, C1

journal
2019

Indoor image representation by high-level semantic features

C Sitaula, Y Xiang, Y Zhang, X Lu, S Aryal

(2019), Vol. 7, pp. 84967-84979, IEEE access, Piscataway, N.J., C1

journal

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

Sunil Aryal, Kai Ting, Takashi Washio, Gholamreza Haffari

(2019), Data mining and knowledge discovery, Cham, Switzerland, C1

journal

Unsupervised deep features for privacy image classification

C Sitaula, Y Xiang, S Aryal, X Lu

(2019), Vol. 11854, pp. 404-415, Image and video technology : 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18-22, 2019, Proceedings, Sydney, N.S.W., E1

conference

Tag-based semantic features for scene image classification

C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu

(2019), Vol. 11955, pp. 90-102, APNNS 2019 : Proceedings of the 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society 2019, Sydney, N.S.W., E1

conference

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

Arbind Baniya, Sunil Aryal, K Santosh

(2019), Vol. 16, pp. 1-8, Special Issue of the Australian Journal of Intelligent Information Processing Systems: 26th International Conference on Neural Information Processing, Sydney, New South Wales, E1

conference
2018

Modeling neurocognitive reaction time with gamma distribution

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

(2018), pp. 1-10, ACSW '18: Proceedings of the Australasian Computer Science Week Multiconference, Brisbane, Qld., E1-1

conference

Anomaly detection technique robust to units and scales of measurement

Sunil Aryal

(2018), Vol. 10937, pp. 589-601, PAKDD 2018: Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Melbourne, Victoria, E1-1

conference

Relevance of frequency of heart-rate peaks as indicator of 'biological' stress level

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

(2018), Vol. 11307, pp. 598-609, ICONIP 2018: International Conference on Neural Information Processing, Siem Reap, Cambodia, E1-1

conference

Image clustering using a similarity measure incorporating human perception

H Shojanazeri, S Aryal, S Teng, D Zhang, G Lu

(2018), pp. 1-6, IVCNZ 2018 : International Conference on Image and Vision Computing New Zealand, Auckland, New Zealand, E1-1

conference

A novel perceptual dissimilarity measure for image retrieval

H Shojanazeri, D Zhang, S Teng, S Aryal, G Lu

(2018), pp. 1-6, IVCNZ 2018 : International Conference on Image and Vision Computing New Zealand, Auckland, New Zealand, E1-1

conference
2017

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

Kai Ting, Takashi Washio, Jonathan Wells, Sunil Aryal

(2017), Vol. 106, pp. 55-91, Machine learning, New York, N.Y., C1-1

journal

Application of e-government principles in anti-corruption framework

Arjun Neupane, Jeffrey Soar, Kishor Vaidya, Sunil Aryal

(2017), pp. 56-74, Digital Governance and E-Government Principles Applied to Public Procurement, Hershey, Pa., B1-1

chapter

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

Sunil Aryal, Kai Ting, Takashi Washio, Gholamreza Haffari

(2017), Vol. 53, pp. 479-506, Knowledge and information systems, New York, N.Y., C1-1

journal
2016

A generic ensemble approach to estimate multidimensional likelihood in bayesian classifier learning

Sunil Aryal, Kai Ting

(2016), Vol. 32, pp. 458-479, Computational intelligence, Chichester, Eng., C1-1

journal

Revisiting attribute independence assumption in probabilistic unsupervised anomaly detection

Sunil Aryal, Kai Ting, Gholamreza Haffari

(2016), Vol. 9650, pp. 73-86, PAISI 2016 : Proceedings of the 11th Pacific Asia Workshop on Intelligence and Security Informatics 2016, Auckland, N.Z., E1-1

conference
2015

Beyond tf-idf and cosine distance in documents dissimilarity measure

Sunil Aryal, Kai Ting, Gholamreza Haffari, Takashi Washio

(2015), Vol. 9460, pp. 400-406, AIRS 2015 : Information Retrieval Technology: Proceedings of the 11th Asia Information Retrieval Societies Conference, Brisbane, Queensland, E1-1

conference

The potential for ICT tools to promote public participation in fighting corruption

A Neupane, J Soar, K Vaidya, S Aryal

(2015), Vol. 4, pp. 2291-2307, Public affairs and administration: concepts, methodologies, tools, and applications, Hershey, Pa., B1-1

chapter
2014

Mp-dissimilarity: a data dependent dissimilarity measure

S Aryal, K Ting, G Haffari, T Washio

(2014), pp. 707-712, ICDM 2014 : Proceedings of the 14th IEEE International Conference on Data Mining 2014, Shenzhen, China, E1-1

conference

Improving iForest with relative mass

Sunil Aryal, Kai Ting, Jonathan Wells, Takashi Washio

(2014), Vol. 8444, pp. 510-521, PAKDD 2014 : Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan, E1-1

conference

The potential for ICT tools to promote public participation in fighting corruption

Arjun Neupane, Jeffrey Soar, Kishor Vaidya, Sunil Aryal

(2014), pp. 175-191, Human Rights and the Impact of ICT in the Public Sphere: Participation, Democracy, and Political Autonomy, Hershey, Pa., B1-1

chapter
2013

MassBayes: a new generative classifier with multi-dimensional likelihood estimation

Sunil Aryal, Kai Ting

(2013), Vol. 7818, pp. 136-148, PAKDD 2013 : Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining 2013, Gold Coast, Qld., E1-1

conference

DEMass: a new density estimator for big data

Kai Ting, Takashi Washio, Jonathan Wells, Fei Liu, Sunil Aryal

(2013), Vol. 35, pp. 493-524, Knowledge and information systems, Berlin, Germany, C1-1

journal

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report