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Multidomain Comfort and Physiological Monitoring Dataset2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Building Energy and Comfort Optimization Open access
Nibras Abo Alzahab, Richard Kaculi, GIANLUCA SARTINI, Alessandra Mobili, Francesca Tittarelli, Michele Morici, +11 more
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Multidomain Comfort and Physiological Monitoring Dataset2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Building Energy and Comfort Optimization Open access
Nibras Abo Alzahab, Richard Kaculi, GIANLUCA SARTINI, Alessandra Mobili, Francesca Tittarelli, Michele Morici, +11 more
0citations -
Multidomain Comfort and Physiological Monitoring Datasets2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Building Energy and Comfort Optimization Open access
Nibras Abo Alzahab, Richard Kaculi, GIANLUCA SARTINI, Alessandra Mobili, Francesca Tittarelli, Michele Morici, +11 more
0citations -
Multidomain Comfort and Physiological Monitoring Dataset2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Building Energy and Comfort Optimization Open access
Nibras Abo Alzahab, Richard Kaculi, GIANLUCA SARTINI, Alessandra Mobili, Francesca Tittarelli, Michele Morici, +11 more
0citations -
Multidomain Comfort and Physiological Monitoring Dataset2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Building Energy and Comfort Optimization Open access
Nibras Abo Alzahab, Richard Kaculi, GIANLUCA SARTINI, Alessandra Mobili, Francesca Tittarelli, Michele Morici, +11 more
0citations -
Analysis code and derived data for: Demographic Shortcuts Account for Most of the Apparent Accuracy of Four-Class Gait-Based Differential Diagnosis in Neurodegenerative Disease: An Interpretability-Driven Audit of Machine Learning on a Public Gait Benchmark0citations
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Analysis code and derived data for: Demographic Shortcuts Account for Most of the Apparent Accuracy of Four-Class Gait-Based Differential Diagnosis in Neurodegenerative Disease: An Interpretability-Driven Audit of Machine Learning on a Public Gait Benchmark0citations
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