Explainable deep learning AI methods and challenges

Real-time patient monitoring and fall detection using pose estimation and time sequence models by Suarez, Jessie James P.

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Predicting land cover map changes in the Philippines for use in LULC-based carbon capture monitoring using deep learning by Camaclang, Rodolfo C., III

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Deep learning for determining ligand ranking for structured-based drug discovery by Benter, Alvin G.

Gaze following using vision transformers by Dionido, Raimarc S.

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Studies on learning deep representations for eye movement signals by Bautista, Louise Gillian C.

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MODT: Modular Deep Multi-Object Tracker for fish tracking in the wild by Martija, Mygel Andrei M.

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Scalable entity resolution ensemble for KYC fraud detection. by Benavides, Inigo Miguel G.

Autoencoders in autoencoder models for monocular depth estimation and semantic image segmentation tasks by Yusiong, John Paul Tan

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Multi-task learning for detection, recovery, and separation of polyphonic music by Tan, Vanessa H.

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