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03/10/2022
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams
In highly distributed environments such as cloud, edge and fog computing...
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09/27/2021
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks
Anomaly detection is increasingly important to handle the amount of sens...
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09/27/2021
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments
Edge and fog computing architectures utilize container technologies in o...
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03/10/2021
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms
In this paper we introduce our vision of a Cognitive Computing Continuum...
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02/12/2021
Towards AIOps in Edge Computing Environments
Edge computing was introduced as a technical enabler for the demanding r...
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01/25/2021
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series
Forecasting of time series in continuous systems becomes an increasingly...
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01/15/2021
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Artificial Intelligence for IT Operations (AIOps) is an emerging interdi...
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12/17/2020
The voice of COVID-19: Acoustic correlates of infection
COVID-19 is a global health crisis that has been affecting many aspects ...
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06/09/2020
Sensor Artificial Intelligence and its Application to Space Systems – A White Paper
Information and communication technologies have accompanied our everyday...
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03/05/2020
BERT as a Teacher: Contextual Embeddings for Sequence-Level Reward
Measuring the quality of a generated sequence against a set of reference...
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10/01/2019
Generalization in Generation: A closer look at Exposure Bias
Exposure bias refers to the train-test discrepancy that seemingly arises...
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08/30/2019
Autoregressive Text Generation Beyond Feedback Loops
Autoregressive state transitions, where predictions are conditioned on p...
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04/01/2019
Application-Agnostic Offloading of Packet Processing
As network speed increases, servers struggle to serve all requests direc...
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10/12/2018
Grand Challenge: Real-time Destination and ETA Prediction for Maritime Traffic
In this paper, we present our approach for solving the DEBS Grand Challe...
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09/17/2018
On the Fly Orchestration of Unikernels: Tuning and Performance Evaluation of Virtual Infrastructure Managers
Network operators are facing significant challenges meeting the demand f...
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06/12/2018
Deep State Space Models for Unconditional Word Generation
Autoregressive feedback is considered a necessity for successful uncondi...
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04/23/2018
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism
Neural network frameworks such as PyTorch and TensorFlow are the workhor...
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02/02/2018
Representation Learning for Resource Usage Prediction
Creating a model of a computer system that can be used for tasks such as...
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12/01/2016
Neural Document Embeddings for Intensive Care Patient Mortality Prediction
We present an automatic mortality prediction scheme based on the unstruc...
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12/20/2013