Sarah M. Erfani

Proceedings of the Asian Conference on Machine Learning, 2021

Detecting Beneficial Feature Interactions for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns.

[BibT_eX]

[DOI]

Elaheh Alipour Chavary

CoRR, 2020

Defending Distributed Classifiers Against Data Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Defending Regression Learners Against Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Black-box Adversarial Example Generation with Normalizing Flows.

[BibT_eX]

[DOI]

Hadi M. Dolatabadi

Hadi Mohaghegh Dolatabadi

CoRR, 2020

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows.

[BibT_eX]

[DOI]

Maria Alejandra Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences.

[BibT_eX]

[DOI]

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Heterogeneous Task Co-location in Containerized Cloud Computing Environments.

[BibT_eX]

[DOI]

Zhiheng Zhong

Jiabo He

Ramamohanarao Kotagiri

Rajkumar Buyya

Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Non-Unique Segmentation with Reward-Penalty Dice Loss.

[BibT_eX]

[DOI]

Jiabo He

Stephen J. O'Leary

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Segmented Pairwise Distance for Time Series with Large Discontinuities.

[BibT_eX]

[DOI]

Jiabo He

Stephen J. O'Leary

Benjamin I. P. Rubinstein

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Normalized Loss Functions for Deep Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems.

[BibT_eX]

[DOI]

Shiquan Yang

Hadi Mohaghegh Dolatabadi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction.

[BibT_eX]

[DOI]

Proceedings of the Business Process Management - 18th International Conference, 2020

Invertible Generative Modeling using Linear Rational Splines.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Support vector machines resilient against training data integrity attacks.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Online cluster validity indices for performance monitoring of streaming data clustering.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2019

FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs.

[BibT_eX]

[DOI]

Sukarna Barua

Sarah Monazam Erfani

Benjamin I. P. Rubinstein

CoRR, 2019

Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Learning and One-class SVM based Anomalous Crowd Detection.

[BibT_eX]

[DOI]

Meng Yang

Proceedings of the International Joint Conference on Neural Networks, 2019

MMF: Attribute Interpretable Collaborative Filtering.

[BibT_eX]

[DOI]

Yixin Su

Sarah Monazam Erfani

Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach.

[BibT_eX]

[DOI]

Fateme Fahiman

Proceedings of the International Joint Conference on Neural Networks, 2019

SynthNet: Learning to Synthesize Music End-to-End.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report.

[BibT_eX]

[DOI]

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Distributed Nonlinear Model Predictive Control and Reinforcement Learning.

[BibT_eX]

[DOI]

Ifrah Saeed

Mustafa Berkay Yilmaz

Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019

2018

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines.

[BibT_eX]

[DOI]

Zahra Ghafoori

James C. Bezdek

IEEE Trans. Neural Networks Learn. Syst., 2018

Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections.

[BibT_eX]

[DOI]

Punit Rathore

James C. Bezdek

IEEE Trans. Fuzzy Syst., 2018

Online Cluster Validity Indices for Streaming Data.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

Predicting Complex Activities from Ongoing Multivariate Time Series.

[BibT_eX]

[DOI]

Ramamohanarao Kotagiri

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dimensionality-Driven Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Online CP Decomposition for Sparse Tensors.

[BibT_eX]

[DOI]

Shuo Zhou

Benjamin I. P. Rubinstein

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks.

[BibT_eX]

[DOI]

Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Reinforcement Learning for Autonomous Defence in Software-Defined Networking.

[BibT_eX]

[DOI]

Yi Han

Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition.

[BibT_eX]

[DOI]

Ramamohanarao Kotagiri

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Exponentially Weighted Ellipsoidal Model for Anomaly Detection.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2017

Toward the Starting Line: A Systems Engineering Approach to Strong AI.

[BibT_eX]

[DOI]

CoRR, 2017

The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Workshop on Information Forensics and Security, 2017

Accurate Recognition of the Current Activity in the Presence of Multiple Activities.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Improving load forecasting based on deep learning and K-shape clustering.

[BibT_eX]

[DOI]

Fateme Fahiman

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning.

[BibT_eX]

[DOI]

Shuo Zhou

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data.

[BibT_eX]

[DOI]

Li Li

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

An efficient visual assessment of cluster tendency tool for large-scale time series data sets.

[BibT_eX]

[DOI]

Timothy B. Iredale

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms.

[BibT_eX]

[DOI]

Fateme Fahiman

James C. Bezdek

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining.

[BibT_eX]

[DOI]

Elaheh Alipour Chavary

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

R1STM: One-class Support Tensor Machine with Randomised Kernel.

[BibT_eX]

[DOI]

Mahsa Baktashmotlagh

Vinh Nguyen

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

An improved scheme for privacy-preserving collaborative anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

Unsupervised Parameter Estimation for One-Class Support Vector Machines.

[BibT_eX]

[DOI]

Zahra Ghafoori

Christopher A. Leckie

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM.

[BibT_eX]

[DOI]

Zahra Ghafoori

Christopher A. Leckie

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust Domain Generalisation by Enforcing Distribution Invariance.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Training robust models using Random Projection.

[BibT_eX]

[DOI]

Xuan Vinh Nguyen

Sakrapee Paisitkriangkrai

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning.

[BibT_eX]

[DOI]

Timothy Glennan

Proceedings of the Information Security and Privacy - 21st Australasian Conference, 2016

2015

Anomaly detection in participatory sensing networks.

[BibT_eX]

[DOI]

PhD thesis, 2015

R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection.

[BibT_eX]

[DOI]

Mahsa Baktashmotlagh

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013

Privacy-preserving data aggregation in Participatory Sensing Networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

2011

An efficient approach to detecting concept-evolution in network data streams.

[BibT_eX]

[DOI]