Machine Learning Seminar by Prof. Albert Bifet – TAIAO – Green AI in Green Aotearoa

  Short Bio Albert Bifet is the Director of the Te Ipu o te Mahara AI Institute at the University of Waikato and Co-chair of the Artificial Intelligence Researchers Association (AIRA). His research focuses on Artificial...

Machine Learning Seminar by Prof. Ali Knott – Oversight and Regulation of AI Systems in Social Media

  Short Bio Alistair Knott is Professor of Artificial Intelligence at Victoria University of Wellington. He has been an AI and computational linguistics researcher for 30 years. He studied Philosophy and Psychology at Oxford...

Machine Learning Seminar by Prof. Nikola K Kasabov – Spatio-Temporal Learning and Spatio-Temporal Associative Memories in Bio/neuro systems, Mathematics and Brain-inspired Neurocomputation

  Short Bio Professor Nikola K Kasabov is a Life Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He has Doctor Honoris Causa from...

Machine Learning Seminar by Dr. Lia Morra – Neuro-Symbolic AI Advancements in Computer Vision

  Short Bio Lia Morra is Assistant Professor (Tenure Track) with the Department of Control and Computer Engineering, Politecnico di Torino, Italy. She received the M.Sc. and PhD degree in Computer Engineering from Politecnico di...

Machine Learning Seminar by Dr. Pablo Montero Manso – Large pre-trained models achieve near-optimal time series forecasting

  Short Bio Pablo Montero-Manso is a Senior Lecturer at the University of Sydney, currently a Visiting Faculty Researcher at Google. He researches Machine Learning, Artificial Intelligence and Statistical tools for time series...

Machine Learning Seminar by Prof. William Stafford Noble – Deep learning applications in mass spectrometry proteomics and single-cell genomics

  Short Bio William Stafford Noble is a Professor in the Department of Genome Sciences and in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. He received the Ph.D. in computer science...

A New Supercomputer for Scaling Up Machine Learning and Artificial Intelligence at Waipapa Taumata Rau / The University of Auckland

The School of Computer Science at Waipapa Taumata Rau / The University of Auckland (UoA), has invested in and installed a new GPU supercomputer, aiming at building capability of large-scale machine learning and artificial intelligence research and teaching.  The newly...

Machine Learning Seminar by Prof. Christian S. Jensen – New Vehicle Routing Paradigms Enabled by Big Vehicle Trajectory Data

  Short Bio Christian S. Jensen is Professor of Computer Science at Aalborg University, Denmark. His research concerns primarily analytics, including machine learning, data mining, and query processing, and data management, with...

Machine Learning Seminar by Dr. Xia Ning – Deep Generative Models for Molecule Optimization

  Short Bio Dr. Xia Ning is an Associate Professor in the Biomedical Informatics Department, and the Computer Science and Engineering Department, The Ohio State University. She received her Ph.D. in Computer Science and...

Machine Learning Seminar by Alex Gavryushkin – Online Algorithms for Evolutionary and Systems Biology

  Short Bio Alex Gavryushkin is an associate professor and Rutherford Discovery Fellow at the University of Canterbury, where he leads the Biological Data Science lab, which he founded in 2017. The lab is primarily interested in...

Adversarial Learning: Robust and Reliable Machine Learning Models

Kia Ora! I am Luke Chang and I am passionate about building more reliable machine learning models, an artificial intelligence people can trust. I started my machine learning journey by designing a transmission controller for an engine in my third-year undergraduate project. I was fascinated by how artificial intelligence can be integrated into everyday systems. When I learnt a state-of-the-art machine learning model is vulnerable to malicious attacks, even when trained on a large amount of...

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Knowledge-Driven Text Generation

I am Beryl Qi and my research topic is ‘Knowledge-Driven Text Generation’. Natural language generation (NLG) is an important research direction in the field of natural language processing. This technology can be applied to various information processing tasks, such as QA (Question Answering), IE (Information Extraction), PD (Problem Decomposition), etc. The wide application of NLG benefits from its learning and processing capabilities when facing to explosion of data. The overall system we...

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Identification and Mitigation of Selection Bias

Kia Ora! I am Katharina Dost, a PhD student in my second year with the School of Computer Science. My research topic is “Identification and Mitigation of Selection Bias” and I would like to use this post to talk about my research and my experiences, so read on! Our world runs on data. We gather whatever we can and use it to answer a variety of questions. These can be something as simple as “What is the average age of my customers?” but also as critical as “Which treatment is best suited for...

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University of Auckland Machine Learning Group

Machine Learning is a field of Computer Science that aims to develop algorithms that learn from experience. This is in contrast to traditional computer science algorithms where behavior is directly coded into the algorithms. Machine Learning algorithms take experience in form of data and observe patterns in these data to make decisions and predictions. Machine Learning became widely popular in recent years and Machine Learning methods are widely used, having applications in every industry...

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