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Quantifying rooftop photovoltaic solar energy potential: A machine learning approach

Solar energy, 2017-01, Vol.141, p.278-296

2017

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Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests

Applied energy, 2018-05, Vol.217, p.189-211

2018

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Effects of urban compactness on solar energy potential

Renewable energy, 2016-08, Vol.93, p.469-482

2016

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A machine learning approach for mapping the very shallow theoretical geothermal potential

Geothermal energy (Heidelberg), 2019-07, Vol.7 (1), p.1-50, Article 19

2019

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Development and validation of a knowledge-based score to predict Fried's frailty phenotype across multiple settings using one-year hospital discharge data: The electronic frailty score

EClinicalMedicine, 2022-02, Vol.44, p.101260-101260, Article 101260

2022

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Exploring Patient Multimorbidity and Complexity Using Health Insurance Claims Data: A Cluster Analysis Approach

JMIR medical informatics, 2022-04, Vol.10 (4), p.e34274-e34274

2022

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A city-scale roof shape classification using machine learning for solar energy applications

Renewable energy, 2018-06, Vol.121, p.81-93

2018

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A machine learning methodology to quantify the potential of urban densification in the Oxford-Cambridge Arc, United Kingdom

Sustainable cities and society, 2023-05, Vol.92, p.104451, Article 104451

2023

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Machine learning and geographic information systems for large-scale wind energy potential estimation in rural areas

Journal of physics. Conference series, 2019-11, Vol.1343 (1), p.12036

2019

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Effects of city size on the large-scale decentralised solar energy potential

Energy procedia, 2017-01, Vol.122, p.697-702

2017

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Combining Fourier Analysis and Machine Learning to Estimate the Shallow-Ground Thermal Diffusivity in Switzerland

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, p.1144-1147

2018

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Estimation of Large-Scale Solar Rooftop PV Potential for Smart Grid Integration: A Methodological Review

Sustainable Interdependent Networks, 2018, Vol.145, p.173-219

2018

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Development and Validation of a Knowledge-Based Score to Predict Fried's Frailty Phenotype Across Multiple Settings Using One-Year Hospital Discharge Data: The Electronic Frailty Score

SSRN Electronic Journal

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Climate, not conflict, explains extreme Middle East dust storm

Environmental research letters, 2016-11, Vol.11 (11), p.114013

2016

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High-Dose Vincristine Sulfate Liposome Injection for Advanced, Relapsed, and Refractory Adult Philadelphia Chromosome–Negative Acute Lymphoblastic Leukemia

Journal of clinical oncology, 2013-02, Vol.31 (6), p.676-683

2013

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Polatuzumab vedotin or pinatuzumab vedotin plus rituximab in patients with relapsed or refractory non-Hodgkin lymphoma: final results from a phase 2 randomised study (ROMULUS)

The Lancet. Haematology, 2019-05, Vol.6 (5), p.e254-e265

2019

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On the variability of the Priestley‐Taylor coefficient over water bodies

Water resources research, 2016-01, Vol.52 (1), p.150-163

2016

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A Prognostic Score for Advanced Hodgkin's Disease

The New England journal of medicine, 1998-11, Vol.339 (21), p.1506-1514

1998

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Deviations from unity of the ratio of the turbulent Schmidt to Prandtl numbers in stratified atmospheric flows over water surfaces

Physical review fluids, 2016-07, Vol.1 (3), Article 034401

2016

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Preliminary results of a phase II randomized study (ROMULUS) of polatuzumab vedotin (PoV) or pinatuzumab vedotin (PiV) plus rituximab (RTX) in patients (Pts) with relapsed/refractory (R/R) non-Hodgkin lymphoma (NHL)

Journal of clinical oncology, 2014-05, Vol.32 (15_suppl), p.8519-8519

2014

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A Phase I Study of the Anti-CD79b Antibody-Drug Conjugate (ADC) DCDS4501A Targeting CD79b in Relapsed or Refractory B-Cell Non-Hodgkin's Lymphoma (NHL)

Blood, 2012-11, Vol.120 (21), p.56-56

2012

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Final Results Of a Phase I Study Of The Anti-CD79b Antibody-Drug Conjugate DCDS4501A In Relapsed Or Refractory (R/R) B-Cell Non-Hodgkin Lymphoma (NHL)

Blood, 2013-11, Vol.122 (21), p.4400-4400

2013

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Quantifying rooftop photovoltaic solar energy potential: A machine learning approach

Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests

Effects of urban compactness on solar energy potential

A machine learning approach for mapping the very shallow theoretical geothermal potential

Development and validation of a knowledge-based score to predict Fried's frailty phenotype across multiple settings using one-year hospital discharge data: The electronic frailty score

Exploring Patient Multimorbidity and Complexity Using Health Insurance Claims Data: A Cluster Analysis Approach

A city-scale roof shape classification using machine learning for solar energy applications

A machine learning methodology to quantify the potential of urban densification in the Oxford-Cambridge Arc, United Kingdom

Machine learning and geographic information systems for large-scale wind energy potential estimation in rural areas

Effects of city size on the large-scale decentralised solar energy potential

Combining Fourier Analysis and Machine Learning to Estimate the Shallow-Ground Thermal Diffusivity in Switzerland

Estimation of Large-Scale Solar Rooftop PV Potential for Smart Grid Integration: A Methodological Review

Development and Validation of a Knowledge-Based Score to Predict Fried's Frailty Phenotype Across Multiple Settings Using One-Year Hospital Discharge Data: The Electronic Frailty Score

Safety and activity of the anti-CD79B antibody–drug conjugate polatuzumab vedotin in relapsed or refractory B-cell non-Hodgkin lymphoma and chronic lymphocytic leukaemia: a phase 1 study

Climate, not conflict, explains extreme Middle East dust storm

High-Dose Vincristine Sulfate Liposome Injection for Advanced, Relapsed, and Refractory Adult Philadelphia Chromosome–Negative Acute Lymphoblastic Leukemia

Polatuzumab vedotin or pinatuzumab vedotin plus rituximab in patients with relapsed or refractory non-Hodgkin lymphoma: final results from a phase 2 randomised study (ROMULUS)

On the variability of the Priestley‐Taylor coefficient over water bodies

A Prognostic Score for Advanced Hodgkin's Disease

Deviations from unity of the ratio of the turbulent Schmidt to Prandtl numbers in stratified atmospheric flows over water surfaces

Updated Results of a Phase II Randomized Study (ROMULUS) of Polatuzumab Vedotin or Pinatuzumab Vedotin Plus Rituximab in Patients with Relapsed/Refractory Non-Hodgkin Lymphoma

Preliminary results of a phase II randomized study (ROMULUS) of polatuzumab vedotin (PoV) or pinatuzumab vedotin (PiV) plus rituximab (RTX) in patients (Pts) with relapsed/refractory (R/R) non-Hodgkin lymphoma (NHL)

A Phase I Study of the Anti-CD79b Antibody-Drug Conjugate (ADC) DCDS4501A Targeting CD79b in Relapsed or Refractory B-Cell Non-Hodgkin's Lymphoma (NHL)

Final Results Of a Phase I Study Of The Anti-CD79b Antibody-Drug Conjugate DCDS4501A In Relapsed Or Refractory (R/R) B-Cell Non-Hodgkin Lymphoma (NHL)

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