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03/02/2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series
The field of time series anomaly detection is constantly advancing, with...
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08/30/2022
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting
Time series forecasting is an important problem, with many real world ap...
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12/15/2021
Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas
Approximating wind flows using computational fluid dynamics (CFD) method...
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09/04/2019
Augmented Memory Networks for Streaming-Based Active One-Shot Learning
One of the major challenges in training deep architectures for predictiv...
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05/22/2019
Dual Active Sampling on Batch-Incremental Active Learning
Recently, Convolutional Neural Networks (CNNs) have shown unprecedented ...
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12/04/2018
Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions
In recent years session-based recommendation has emerged as an increasin...
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05/22/2018
Context-Aware Sequence-to-Sequence Models for Conversational Systems
This work proposes a novel approach based on sequence-to-sequence (seq2s...
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12/07/2017
A Deep Network Model for Paraphrase Detection in Short Text Messages
This paper is concerned with paraphrase detection. The ability to detect...
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06/22/2017
