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- The University of QueenslandAU176 papers
- Commonwealth Scientific and Industrial Research OrganisationAU60 papers
- Data61AU42 papers
- University of OxfordGB41 papers
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU33 papers
- Macquarie UniversityAU32 papers
- Monash UniversityAU32 papers
- Australian Centre for Robotic VisionAU28 papers
- Australian National UniversityAU28 papers
- The University of SydneyAU26 papers
- UNSW SydneyAU26 papers
- University of Southern QueenslandAU23 papers
126 papers · 1 filter
Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization
Mehrdad Farahani, Mohammad Gharachorloo, Mohammad Manthouri
Text summarization is one of the most critical Natural Language Processing (NLP) tasks. More and more researches are conducted in this field every day. Pre-trained transformer-base…
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira +1
Predictive process analytics focuses on predicting the future states of running instances of a business process. While advanced machine learning techniques have been used to increa…
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
Aaron J. Snoswell, Surya P. N. Singh, Nan Ye
We provide new perspectives and inference algorithms for Maximum Entropy (MaxEnt) Inverse Reinforcement Learning (IRL), which provides a principled method to find a most non-commit…
OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs
Jing Yang, Chun Ouyang, Wil M. P. van der Aalst +2
Providing appropriate structures around human resources can streamline operations and thus facilitate the competitiveness of an organization. To achieve this goal, modern organizat…
Adversarial Attack on Facial Recognition using Visible Light
Morgan Frearson, Kien Nguyen
The use of deep learning for human identification and object detection is becoming ever more prevalent in the surveillance industry. These systems have been trained to identify hum…
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
Marvin Chancán, Michael Milford
Sequence-based place recognition methods for all-weather navigation are well-known for producing state-of-the-art results under challenging day-night or summer-winter transitions.…