Publications

@inproceedings{nokey,

title = { A Comparative Evaluation of Natural Language and Dashboard Visualization Interfaces for Data Monitoring Tasks },

author = {Melika Besharati Amirkandeh and Derek Reilly},

year  = {2026},

date = {2026-06-09},

urldate = {2026-06-09},

booktitle = {Proceedings of Graphics Interface 2026 (GI 2026)},

publisher = {ACM (ICPS)},

organization = {Canadian Human Computer Communications Society (CHCCS/SCDHM)},

keywords = {chat interface, dashboard, machine learning, visualization},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{Peachey2025,

title = {Evaluating Low-Dimensional Latent Representations as a Creative Interface for Digital Synthesizers},

author = {Matthew Peachey and Sageev Oore and Joseph Malloch},

url = {https://zenodo.org/records/16946459},

year  = {2025},

date = {2025-09-10},

urldate = {2025-09-10},

booktitle = {The Conference on AI Music Creativity (AIMC)},

keywords = {continuous interaction, continuous-interaction-and-machine-learning, machine learning, music},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{peachey2024machine,

title = {A Machine Learning Approach to Modeling Small Vessel Performance},

author = {Matthew Peachey and Karansingh Chauhan and Juliano Franz and Sue Molloy and Christopher Whidden},

year  = {2024},

date = {2024-09-26},

urldate = {2024-09-26},

publisher = {International OCEANS24 Conference},

abstract = {The maritime industry is a critical component of global trade. However, it is also responsible for a significant amount of Greenhouse Gas emissions. While small vessels are often overlooked as main contributors to emissions, when analyzed as a group, they collectively have a meaningful impact. In order to help promote more sustainable operation of these vessels, it is important to to model fuel consumption based on different weather and sea conditions. To this end, we present a machine learning approach to modelling fuel consumption aboard small vessels using an LSTM architecture. In this paper, we discuss the process of collecting data aboard one such small vessel, the end-to-end model training & evaluation process, and discuss plans for future work.

},

keywords = {machine learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bravo2024,

title = {Advancing Precision Aquaculture Through Big Data Analytics and Machine Learning in Canadian Fish Farming},

author = {Francisco Bravo and Joana Amorim and Melika Besharati and Peter Bodorik and Vitor Cerqueira and Nuno Gomes and Jennie Korus and Mariana Oliveira and João Pimentel and Derek Reilly and Tyler Sclodnick and Jon Grant and Ramón Filgueira and Christopher Whidden and Luis Torgo},

url = {10.1109/OCEANS55160.2024.10754571},

doi = {https://doi.org/10.1109/OCEANS55160.2024.10754571},

year  = {2024},

date = {2024-09-24},

urldate = {2024-09-24},

booktitle = {OCEANS 2024},

organization = {IEEE},

keywords = {geospatial analytics, machine learning, statistics, visualization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Peachey2023,

title = {Creating Latent Representations of Synthesizer Patches using Variational Autoencoders},

author = {Matthew Peachey and Sageev Oore and Joseph Malloch},

url = {https://ieeexplore.ieee.org/document/10335466},

year  = {2023},

date = {2023-10-26},

urldate = {2023-10-26},

booktitle = {Proceedings of the 4th International Symposium on the Internet of Sounds (IS2)},

address = {Pisa, Italy},

keywords = {continuous-interaction-and-machine-learning, machine learning, music},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{GoddyWorlu2022,

title = {Capture and Recognition of Bead Weaving Activities using Hand Skeletal Data and an LSTM Deep Neural Network},

author = {Rowland Goddy-Worlu and Martha Dais Ferreira and Matthew Peachey and Claire Nicholas and James Forren and Derek Reilly},

url = {https://doi.org/10.1109/AIVR56993.2022.00025},

doi = {10.1109/AIVR56993.2022.00025},

year  = {2022},

date = {2022-12-12},

urldate = {2022-12-12},

booktitle = {Proceedings of the 5th IEEE International Conference on Artificial Intelligence & Virtual Reality (AIVR 2022)},

publisher = {IEEE},

keywords = {augmented reality, craft, creativity support tools, cultural heritage, dynamic guides, gesture, machine learning},

pubstate = {published},

tppubtype = {inproceedings}

}