IARG in Department of Computing, Macquarie University

We meet on Monday afternoons, 3.00-4.30pm in the Department's seminar room: room 221, 4 Research Park Drive. All are welcome to join us.

MEETINGS

Date	Presenter	Topic
11/11	MS	DroidEvolver: Self-Evolving Android Malware Detection System
16/09	MY	Machine Learning For Automatic Malware Representation and Analysis (PhD thesis)
5/8	AA	MRI Augmentation via Elastic Registration for Brain Lesions Segmentation
22/7	SS	Deep Supervised Cross-Modal Retrieval
8/7	MS	Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features
11/6	WK	Overview of Biometrics and Medical Imaging for Machine Vision (Presentation)
27/5	ON	Discriminability Objective for Training Descriptive Captions
13/5	SS	Field guide for Troubleshooting Deep Neural Networks
29/4	MG	3D MRI brain tumor segmentation using autoencoder regularization
25/3	AA	SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
11/3	XD	Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms
25/2	SS	Diverse and Coherent Paragraph Generation from Images
11/2	MY	Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
2018
17/12	LH	30+ Years: A Research Story
3/12	TH	MRes Thesis on Convolutional Neural Networks for Prostate Magnetic Resonance Image Segmentation
26/11	RN	Machine learning with synthetic data - Sources: 1-Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization, 2- Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies and 3- Designing Empirical Lab Experiments for SAR-ATR
19/11	RN	MRes Thesis on Radar Emitter Recognition (RER)
12/11	LH	A. Zamir et al Taskonomy: Disentangling Task Transfer Learning
29/10	MS	P.Samangouei et al Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
22/10	LW	Learning SPD-matrix-based Representation for Visual Recognition (Presentation)
15/10	AA	VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
17/9	MY	M. Peters et al Deep Contextualized word representations
10/9	SS	Rajpurkar et al CheXNet: Radiologist-Level Pneumonia Detection on Chest X-rays with Deep Learning
3/9	MS	M . Jagielski et al Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
27/8	Video	Nando de Freitas and Scott Reed Deep Learning: Practice and Trends (NIPS 2017 Tutorial)
20/8	YQ	Computer simulation for the vascular diseases, Where we are and where to go
13/8	MY	M. Zaheer et al Deep Sets
6/8	AA	N. Ballas et al Delving Deeper Into Convolutional Networks For Learning Video Representations
30/7	SS	A. Gordo and D. Larlus Beyond instance-level image retrieval: Leveraging captions to learn a global visual representation for semantic retrieval (Presentation)
23/7	MS	N. Papernot et al Practical Black-Box Attacks against Machine Learning
9/7	AA	Fast ai workshop session
2/7	WR	Modulating and decoding visual information: from cannabinoids to artificial neural networks
25/6	KS	Medical Imaging at Biomedical Informatics Group, CSRIO Health & Biosecurity (Presentation)
18/6	TH	H. Jia et al Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging (Presentation)
4/6	PA	Vision and Language Learning: From Image Captioning and Visual Question Answering towards Embodied Agents (Details)
28/5	Video	Tom Goldstein What do Neural loss surfaces look like?
21/5	KH	A Radiologist's Introduction to Medical Imaging (Presentation)
14/5	SA	Impact of MRI technology on Alzheimer’s disease detection (Presentation)
7/5	SS	P. Wang et al FVQA: Fact-based Visual Question Answering
30/4	AA	J. Wolterink et al Generative Adversarial Networks for Noise Reduction in Low-Dose CT
23/4	ON	Facial Expression Recognition using Deep Learning (Presentation)
9/4	MS	H. Qin et al DeepFish: Accurate underwater live fish recognition with a deep architecture
26/3	RN	Z. Yang et al Hybrid Radar Emitter Recognition Based on Rough k-Means Classifier and Relevance Vector Machine (Presentation; RVM paper by Tipping)
19/3	MY	Yousefi-Azar et al Malytics: A Malware Detection Scheme
12/3	TH	Jegou et al The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation (Presentation)
26/2	SA	Liu et al Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment
5/2	SS	Zhang et al MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network (Resources)

PRESENTERS

Abbreviation	Name
AA	Ava Assadi
KH	Kevin Ho-Shon
KS	Kaikai Shen
LH	Len Hamey
LW	Lei Wang
MG	Mina Ghaffari
MS	Maryam Shahpasand
MY	Mahmood Yousefi-Azar
ON	Omid Nezami
PA	Peter Anderson
RN	Robert Newport
SA	Saruar Alam
SS	Sonit Singh
TH	Taherah Hassanzadeh
WK	Worapan Kusakunniran
XD	Xilei Dai
YQ	Yi Qian

RESOURCES

Preparing a session announcement