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21 May Modeling Control Signals for Reconstruction-based Time Series Anomaly Detection

Posted at 16:45h in Publications, Research, Thesis, Thesis 2024 by Sara Pido 0 Comments
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Grace Y. Song Modeling Control Signals for Reconstruction-based Time Series Anomaly Detection M.Eng Thesis. Dept. of EECS, MIT. May 2024. ...

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13 May LLMs for XAI: Future Directions for Explaining Explanations

Posted at 13:16h in Papers, Papers 2024, Publications by Sara Pido 0 Comments
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Alexandra Zytek, Sara Pido, Kalyan Veeramachaneni LLMs for XAI: Future Directions for Explaining Explanations ACM CHI 2024, HCXAI. Workshop on Human-Centered Explainable AI, May 2024....

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07 Feb Why did the prediction change? Explaining changes in predictions as time progresses

Posted at 02:35h in Publications, Thesis, Thesis 2024 by Sara Pido 0 Comments
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Wei-En Warren Wang Why-did-the-prediction-change-Explaining-changes in-predictions-as-time-progresses M.Eng Thesis. Dept. of EECS, MIT. Feb 2024. ...

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05 Feb SigPro: Enabling Subject Matter Expert Guidance in Feature Engineering

Posted at 15:08h in Publications, Thesis, Thesis 2024 by Sara Pido 0 Comments
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Guanpeng Andy Xu SigPro-Enabling-Subject-Matter-Expert-Guidance-in-Feature-Engineering M.Eng Thesis. Dept. of EECS, MIT. Feb 2024....

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31 Jan Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers

Posted at 02:27h in Papers, Papers 2025, Publications, Research by Sarah Alnegheimish 0 Comments
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Lei Xu, Sarah Alnegheimish, Laure Berti-Equille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers Expert Systems. July 2025....

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21 Jan Pyreal: A Framework for Interpretable ML Explanations

Posted at 23:01h in Papers 2023 by Sarah Alnegheimish 0 Comments
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Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni Pyreal: A Framework for Interpretable ML Explanations Preprint. December 2023....

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21 Jan Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring

Posted at 22:57h in Papers 2023 by Sarah Alnegheimish 0 Comments
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Alexandra Zytek, Wei-En Wang, Sofia Koukoura, Kalyan Veeramachaneni Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring NeurIPS XAI in Action. Workshop on XAI in Action: Past, Present, and Future Applications, December 2023....

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28 May Towards Creating Synthetic Data Testbeds for Research

Posted at 14:18h in Publications, Research, Theses 2023, Thesis by lids 0 Comments
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Nassim Oufattole Towards Creating Synthetic Data Testbeds for Research S.M Thesis. Dept. of EECS, MIT. June 2023....

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30 Jan Zephyr: a Data-Centric Framework for Predictive Maintenance of Wind Turbines

Posted at 17:21h in Publications, Research, Theses 2023, Thesis by lids 0 Comments
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Frances R. Hartwell Zephyr: a Data-Centric Framework for Predictive Maintenance of Wind Turbines M.Eng Thesis. Dept. of EECS, MIT. February 2023....

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21 Nov AER: Auto-Encoder with Regression for Time Series Anomaly Detection

Posted at 22:03h in Papers, Papers 2022, Publications, Research by lids 0 Comments
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Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni AER: Auto-Encoder with Regression for Time Series Anomaly Detection BigData-2022. In Proceedings of IEEE International Conference on Big Data, December 2022. ...

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