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Generalized Maximum Entropy for Supervised Classification 

Mazuelas, S.Autoridad BCAM; Shen, Y.; Pérez, A.Autoridad BCAM (2022-04)
The maximum entropy principle advocates to evaluate events’ probabilities using a distribution that maximizes entropy among those that satisfy certain expectations’ constraints. Such principle can be generalized for ...
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A Deep Learning Approach for Generating Soft Range Information from RF Data 

li, Y.; Mazuelas, S.Autoridad BCAM; Shen, Y. (2022-01-24)
Radio frequency (RF)-based techniques are widely adopted for indoor localization despite the challenges in extracting sufficient information from measurements. Soft range information (SRI) offers a promising alternative ...
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Derivation of a Cost-Sensitive COVID-19 Mortality Risk Indicator Using a Multistart Framework 

Armañanzas, R.Autoridad BCAM; Diaz, A.Autoridad BCAM; Martinez, M.; Mazuelas, S.Autoridad BCAM (2022-01-14)
The overall global death rate for COVID-19 patients has escalated to 2.13% after more than a year of worldwide spread. Despite strong research on the infection pathogenesis, the molecular mechanisms involved in a fatal ...
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A Semi-Supervised Learning Approach for Ranging Error Mitigation Based on UWB Waveform 

Li, Y.; Mazuelas, S.Autoridad BCAM; Shen, Y. (2021-12-30)
Localization systems based on ultra-wide band (UWB) measurements can have unsatisfactory performance in harsh environments due to the presence of non-line-of-sight (NLOS) errors. Learning-based methods for error ...
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Deep GEM-based network for weakly supervised UWB ranging error mitigation 

Li, Y; Mazuelas, S.Autoridad BCAM; Shen, Y. (2021-12-30)
Ultra-wideband (UWB)-based techniques, while becoming mainstream approaches for high-accurate positioning, tend to be challenged by ranging bias in harsh environments. The emerging learning-based methods for error ...
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Location Awareness in Beyond 5G Networks 

Conti, A.; Morselli, F.; Liu, Z.; Bartoletti, S.; Mazuelas, S.Autoridad BCAM; Lindsey, W.C.; Win, M.Z. (2021-11-01)
Location awareness is essential for enabling contextual services and for improving network management in 5th generation (5G) and beyond 5G (B5G) networks. This paper provides an overview of the expanding opportunities ...
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Minimax Classification with 0-1 Loss and Performance Guarantees 

Mazuelas, S.Autoridad BCAM; Zanoni, A.; Pérez, A.Autoridad BCAM (2020-12-01)
Supervised classification techniques use training samples to find classification rules with small expected 0-1 loss. Conventional methods achieve efficient learning and out-of-sample generalization by minimizing surrogate ...
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General supervision via probabilistic transformations 

Mazuelas, S.Autoridad BCAM; Pérez, A.Autoridad BCAM (2020-08-01)
Different types of training data have led to numerous schemes for supervised classification. Current learning techniques are tailored to one specific scheme and cannot handle general ensembles of training samples. This ...
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Probabilistic Load Forecasting Based on Adaptive Online Learning 

Álvarez, V.Autoridad BCAM; Mazuelas, S.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2020)
Load forecasting is crucial for multiple energy management tasks such as scheduling generation capacity, planning supply and demand, and minimizing energy trade costs. Such relevance has increased even more in recent ...
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Soft information for localization-of-things 

Conti, A.; Mazuelas, S.Autoridad BCAM; Bartoletti, S.; Lindsey, W.C; Win, M. (2019-11-01)
Location awareness is vital for emerging Internetof- Things applications and opens a new era for Localizationof- Things. This paper first reviews the classical localization techniques based on single-value metrics, such ...
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Author
Mazuelas, S. (14)
Shen, Y. (5)Conti, A. (4)Bartoletti, S. (3)Pérez, A. (3)Morselli, F. (2)Win, M. (2)Win, M.Z. (2)Allen, J.C. (1)Armañanzas, R. (1)... másSubjectsupervised classification (2)COVID-19, Cost-Sensitive Prognosis, Clinical Indicator, Multistart Estimation (1)domain adaptation (1)generalized entropy (1)Indoor localization, soft range information, deep learning, ranging error mitigation, NLOS detection (1)Load forecasting, probabilistic load forecasting, online learning, hidden Markov model. (1)Location awareness, beyond 5G, 3GPP, wireless networks, machine learning. (1)machine learning (1)maximum entropy (1)minimax classification (1)... másFecha2022 (3)2021 (3)2020 (3)2019 (3)2018 (2)

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