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Emre çakır

Yildiz Technical University, Makina mühendisligi, Graduate Student

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Matteo Lionello

University College London

National University of Singapore

University of Washington

Prafulla Dhariwal

Aalborg University Copenhagen

Hochschule für Musik Nürnberg

stefano squartini

Università Politecnica delle Marche, Italy

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Papers by Emre çakır

Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders

Journal of The Audio Engineering Society, 2018

In this work, we propose a deep learning based method, namely, variational, convolutional recurre... more In this work, we propose a deep learning based method, namely, variational, convolutional recurrent autoencoders (VCRAE), for musical instrument synthesis. This method utilizes the higher level time-frequency representations extracted by the convolutional and recurrent layers to learn a Gaussian distribution in the training stage, which will be later used to infer unique samples through interpolation of multiple instruments in the usage stage. The reconstruction performance of VCRAE is evaluated by proxy through an instrument classifier, and provides significantly better accuracy than two other baseline autoencoder methods. The synthesized samples for the combinations of 15 different instruments are available on the companion website.

Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments

2021 29th European Signal Processing Conference (EUSIPCO), 2021

Joint sound event localization and detection (SELD) is an integral part of developing context awa... more Joint sound event localization and detection (SELD) is an integral part of developing context awareness into communication interfaces of mobile robots, smartphones, and home assistants. For example, an automatic audio focus for video capture on a mobile phone requires robust detection of relevant acoustic events around the device and their direction. Existing SELD approaches have been evaluated using material produced in controlled indoor environments, or the audio is simulated by mixing isolated sounds to different spatial locations. This paper studies SELD of speech in diverse everyday environments, where the audio corresponds to typical usage scenarios of handheld mobile devices. In order to allow weighting the relative importance of localization vs. detection, we will propose a twostage hierarchical system, where the first stage is to detect the target events, and the second stage is to localize them. The proposed method utilizes convolutional recurrent neural network (CRNN) and is evaluated on a database of manually annotated microphone array recordings from various acoustic conditions. The array is embedded in a contemporary mobile phone form factor. The obtained results show good speech detection and localization accuracy of the proposed method in contrast to a non-hierarchical flat classification model.

Robust direction estimation with convolutional neural networks based steered response power

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017

The Concept of Excess Quantity and Its Effect on the Contract of Sale in the Context of Wholesale Priced Goods

Diyanet İlmi Dergi

Satım akdinde satıma konu olan malın miktarı genelde akitte belirtilir. Ancak bazen malın miktarı... more Satım akdinde satıma konu olan malın miktarı genelde akitte belirtilir. Ancak bazen malın miktarının akitten sonra akitte belirtilenden daha fazla olduğu görülebilir. Bu durumda ortaya çıkan ziyade miktarın fıkhî hükmünün bilinmesi gerekir. Aksi takdirde taraflar nizaya ve tartışmaya düşer. Bu makalede toptan fiyatlı mallarda akitten sonra ortaya çıkan ziyade miktarın fıkhî hükmü ve akde tesiri ele alınmaktadır. Bu vesile ile tarafların böyle bir durumda nizaya düşmemesi, satım akitlerinden sonra ortaya çıkabilecek maldaki ziyade miktarlar konusunda müşteri ve satıcının daha dikkatli olması ve akit beyanına bununla ilgili açıklamaların eklenmesinin sağlanması hedeflenmektedir. Bu kazanımlar da sağlıklı akitlerin yapılmasına ve iktisadi istikrara gereken faydayı temin edecektir. Makalede öncelikle dokümantasyon yöntemi izlenerek kaynaklara ulaşılmış, bu kaynaklardaki görüşler ve delilleri tahlil edilip tüme varım ve tümdengelim yöntemleriyle fıkhî hükümler tespit edilmiştir. Satım ak...

COVID-19 ve Kanser

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the third largest outbreak of cor... more Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the third largest outbreak of coronaviruses, after SARS-CoV in 2002 and Middle-East respiratory syndrome coronavirus (MERS-COV) in 2012. The severity of the disease ranges from asymptomatic to acute respiratory distress syndrome. Solid organ and hematological malignancies are prone to infection due to neutropenia, lymphopenia, anatomical abnormalities, splenic or humoral defects, cytotoxic and other immunosuppressive treatments. However, there are also studies showing that the risk of covid-19 mortality is lower in prostate cancer patients receiving treatment such as LHRH agonists. For these reasons, extra care is required in the care and treatment of cancer patients with covid 19. Covid-19 is a multisystemic infection that affects many organs and predisposes to thrombosis. Cancer patients are more prone to thrombosis than normal patients. Cancer patients with Covid-19 have a high risk of thrombosis and therefore need

Ziyade Miktar Kavramı ve Birim Fiyatlı Mallarda Ziyade Miktarın Satım Akdine Etkisi

Eskişehir Osmangazi Üniversitesi İlahiyat Fakültesi Dergisi

Satım akdinde satıma konu olan malın miktarı genelde akitte belirtilir. Ancak bazen malın miktarı... more Satım akdinde satıma konu olan malın miktarı genelde akitte belirtilir. Ancak bazen malın miktarının akitten sonra akitte belirtilenden daha fazla olduğu gözlenebilir. Bu durumda ortaya çıkan ziyade miktarın fıkhî hükmünün bilinmesi gerekir. Aksi takdirde taraflar nizaya düşeceklerdir. Bu makalede birim fiyatlı mallarda akitten sonra ortaya çıkan ziyade miktarın fıkhî hükmü ve akde tesiri ele alınmaktadır. Bu vesile ile tarafların böyle bir durumda nizaya düşmemesi, satım akitlerinden sonra ortaya çıkabilecek maldaki ziyade miktarlarda müşteri ve satıcının daha dikkatli olması ve akit beyanına bununla ilgili açıklamaların eklenmesinin sağlanması hedeflenmektedir. Bu kazanımlar da sağlıklı akitlerin yapılmasına ve iktisadi istikrara gereken faydayı temin edecektir. Makalede öncelikle dokümantasyon yöntemi izlenerek kaynaklara ulaşılmış, bu kaynaklardaki görüşler ve delilleri tahlil edilip tüme varım ve tümdengelim yöntemleriyle fıkhî hükümler tespit edilmiştir. Satım akdinde ortaya ç...

Does Cyclin-dependent Kinase 4/6 Inhibitor Toxicity Predict Treatment Response in Metastatic Hormone Positive Breast Cancer?

In estrogen and/or progesterone receptor expression (hormone receptor [HR]-positive) without huma... more In estrogen and/or progesterone receptor expression (hormone receptor [HR]-positive) without human epidermal growth factor receptor 2 (HER2) overexpression (HR+/HER2−) metastatic breast cancer (MBC), a significant progression-free survival (PFS) benefit has been obtained with cyclin-dependent kinase 4/6 (CDK 4/6) inhibitor and endocrine therapy (ET) combinations in the first-line treatment. We mainly aimed to investigate whether the toxicities of CDK 4/6 inhibitors predict treatment response. This study was designed retrospectively. A total of 191 patients diagnosed with MBC were treated with CDK 4/6 inhibitors plus ETs between 2019 and 2021, in four centers included. One hundred six patients received ribociclib, and 85 patients received palbociclib. The most common adverse event in both groups was neutropenia. We found that toxicities didn’t predict response rates (RRs). Additionally, the RRs in patients with albumin levels above 4.1g/dl was better than that in patients with albumi...

İstanbul’da Demografi ve Göç (1840-1842): İstanbul’un Aylık Nüfus Raporları Üzerine Bir Analiz Denemesi

Üsküdar Üniversitesi Sosyal Bilimler Dergisi

Bu makale Tanzimat Fermanı’nın okunmasından hemen sonra İstanbul’un demografik görünümünü tasvir ... more Bu makale Tanzimat Fermanı’nın okunmasından hemen sonra İstanbul’un demografik görünümünü tasvir etmek amacıyla aylık nüfus raporlarını ele almaktadır. Aylık nüfus raporları en sade anlatımla, doğum, ölüm, gelen ve giden göç (nakl-i nüfus) ile İstanbul’u misafir olarak ziyaret eden tebaa ve yabancıların miktarları gibi nüfus üzerinde meydana gelen değişimleri sunan jurnallerdir. Müslüman, Rum, Ermeni, Katolik, Yahudi ve Roman unsurlardan oluşan Bilâd-ı Selâse (Eyüp, Galata ve Üsküdar) de dâhil olmak üzere İstanbul nüfusu hakkında raporların sunmuş olduğu veriler çeşitli parametrelere göre analiz edilmiştir. İstanbul nüfusunun dinî cemaat/milletlere göre dağılımı, aritmetik artış/düşüş eğilimleri, yetişkin/çocuk ölüm oranları, coğrafi hareketlilik ve göç gibi konularda çeşitli çıkarımlar yapılmıştır. İstanbul ve taşra arasındaki göç (nakl-i nüfus) ve misafirlik kapsamında değerlendirilen geliş/gidişlere dair veriler üzerinden coğrafi hareketliliğe dair tespit edilen bazı bulgular pay...

Efficacy and safety of folfiri plus aflibercept in second-line treatment of metastatic colorectal cancer: Real-life data from Turkish oncology group

Journal of Cancer Research and Therapeutics

COVID-19 prevalence and oncologic outcomes of asymptomatic patients with active cancer who received chemotherapy

Acta Medica Mediterranea, 2021

Human resources management in international context. With special reference to the UK,Spain and Turkey

Marmara Üniversitesi, 1999

Potential growth in Turkey: Sources and trends

Central Bank Review, 2022

Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders

Journal of The Audio Engineering Society, 2018

In this work, we propose a deep learning based method, namely, variational, convolutional recurre... more In this work, we propose a deep learning based method, namely, variational, convolutional recurrent autoencoders (VCRAE), for musical instrument synthesis. This method utilizes the higher level time-frequency representations extracted by the convolutional and recurrent layers to learn a Gaussian distribution in the training stage, which will be later used to infer unique samples through interpolation of multiple instruments in the usage stage. The reconstruction performance of VCRAE is evaluated by proxy through an instrument classifier, and provides significantly better accuracy than two other baseline autoencoder methods. The synthesized samples for the combinations of 15 different instruments are available on the companion website.

Geleneksel öğretim yöntemleri ile dramatizasyon yönteminin ilköğretim 2. sınıf matematik dersinde, öğrencilerin akademik başarı ve kavramların kalıcılık düzeylerine etkisinin karşılaştırılması

Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments

2021 29th European Signal Processing Conference (EUSIPCO), 2021

Joint sound event localization and detection (SELD) is an integral part of developing context awa... more Joint sound event localization and detection (SELD) is an integral part of developing context awareness into communication interfaces of mobile robots, smartphones, and home assistants. For example, an automatic audio focus for video capture on a mobile phone requires robust detection of relevant acoustic events around the device and their direction. Existing SELD approaches have been evaluated using material produced in controlled indoor environments, or the audio is simulated by mixing isolated sounds to different spatial locations. This paper studies SELD of speech in diverse everyday environments, where the audio corresponds to typical usage scenarios of handheld mobile devices. In order to allow weighting the relative importance of localization vs. detection, we will propose a twostage hierarchical system, where the first stage is to detect the target events, and the second stage is to localize them. The proposed method utilizes convolutional recurrent neural network (CRNN) and is evaluated on a database of manually annotated microphone array recordings from various acoustic conditions. The array is embedded in a contemporary mobile phone form factor. The obtained results show good speech detection and localization accuracy of the proposed method in contrast to a non-hierarchical flat classification model.

Sakarya Üniversitesi Tıbbi Onkoloji Kliniği 2017-2018 Yılı Akciğer Kanseri İstatistikleri

AMAC:Akciger kanseri Dunya 2. en sik gorulen kanser tipidir ve Dunya’ da en sik kanser olumune se... more AMAC:Akciger kanseri Dunya 2. en sik gorulen kanser tipidir ve Dunya’ da en sik kanser olumune sebebiyet veren kanser turudur.En sik iliskili oldugu risk faktoru sigaradir. Yaklasik %90' i sigara ile iliskilidir. Biz bu calismamizda Sakarya Universitesi Tip Fakultesi Tibbi Onkoloji Birimine basvuran 2017-2018 yilindaki hastalarin istatistiklerini cikarmayi amacladik. YONTEM VE GERECLER:Ocak 2017 -Ocak 2018 tarihleri arasinda takip edilen ve ilk kez akciger kanseri tanisi olan tum hastalar degerlendirmeye alindi. Baska organda malignitesi olup ikinci primer olarak akciger kanseri tanisi alan, onceden akciger kanseri olup nuks ile gelen hastalar calisma disi tutuldu.Dosyalardan geriye donuk PET/BT, kranial BT ve kranial MR, batin usg, kemik sintigrafileri ve yapilan diger goruntulemeleri incelenen olgular en son evreleme yontemi olan TNM 8’e gore degerlendirmeleri yapildi. BULGULAR:Calismamiza klinigimizde Ocak 2017-2018 yillari arasinda takip ettigimiz 251 akciger kanseri olan ha...

$Research paper thumbnail of Comparative assessment of three different second-line regimens in chemotherapy resistant / refractory small-cell lung cancer$

Comparative assessment of three different second-line regimens in chemotherapy resistant / refractory small-cell lung cancer

Journal of B.U.ON. : official journal of the Balkan Union of Oncology, 2021

PURPOSE Small cell lung cancer (SCLC) patients unresponsive or relapsing within 90 days following... more PURPOSE Small cell lung cancer (SCLC) patients unresponsive or relapsing within 90 days following frontline chemotherapy have poor prognosis and they should be treated with different chemotherapy regimens other than those used in the first-line regimen. Currently there is no globally accepted standard chemotherapeutic regimen for the treatment of these patients. This retrospective study was designed to compare CAV (Cyclophosphamide, Doxorubicin, Vincristine), weekly topotecan and weekly irinotecan regimens and to evaluate the efficacy of the three regimens in patients with chemotherapy resistant/refractory (CRR) SCLC. METHODS A total of 67 CRR-SCLC patients, who were treated with CAV, weekly topotecan and weekly irinotecan were reviewed for weekly irinotecan (27 for 60 mg/m2 intravenously on days 1, 8 and 15 of a 28-day cycle,24 for CAV (Cyclophosphamide 750 mg/m² on day 1, Doxorubicin 50 mg/m² on day 1 and Vincristine 1.4mg/m2 on day 1 every 3 weeks), 16 for weekly topotecan (4 mg/...

Deep Neural Networks for Sound Event Detection

The objective of this thesis is to develop novel classification and feature learning techniques f... more The objective of this thesis is to develop novel classification and feature learning techniques for the task of sound event detection (SED) in real-world environments. Throughout their lives, humans experience a consistent learning process on how to assign meanings to sounds. Thanks to this, most of the humans can easily recognize the sound of a thunder, dog bark, door bell, bird singing etc. In this work, we aim to develop systems that can automatically detect the sound events commonly present in our daily lives. Such systems can be utilized in e.g. contextaware devices, acoustic surveillance, bio-acoustical and healthcare monitoring, and smart-home cities. In this thesis, we propose to apply the modern machine learning methods called deep learning for SED. The relationship between the commonly used timefrequency representations for SED (such as mel spectrogram and magnitude spectrogram) and the target sound event labels are highly complex. Deep learning methods such as deep neural...

Türkiye'de 1994 ekonomik krizi ve krizin özel sektör üzerine etkileri

Robust direction estimation with convolutional neural networks based steered response power

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017

Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders

Journal of The Audio Engineering Society, 2018

In this work, we propose a deep learning based method, namely, variational, convolutional recurre... more In this work, we propose a deep learning based method, namely, variational, convolutional recurrent autoencoders (VCRAE), for musical instrument synthesis. This method utilizes the higher level time-frequency representations extracted by the convolutional and recurrent layers to learn a Gaussian distribution in the training stage, which will be later used to infer unique samples through interpolation of multiple instruments in the usage stage. The reconstruction performance of VCRAE is evaluated by proxy through an instrument classifier, and provides significantly better accuracy than two other baseline autoencoder methods. The synthesized samples for the combinations of 15 different instruments are available on the companion website.

Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments

2021 29th European Signal Processing Conference (EUSIPCO), 2021

Joint sound event localization and detection (SELD) is an integral part of developing context awa... more Joint sound event localization and detection (SELD) is an integral part of developing context awareness into communication interfaces of mobile robots, smartphones, and home assistants. For example, an automatic audio focus for video capture on a mobile phone requires robust detection of relevant acoustic events around the device and their direction. Existing SELD approaches have been evaluated using material produced in controlled indoor environments, or the audio is simulated by mixing isolated sounds to different spatial locations. This paper studies SELD of speech in diverse everyday environments, where the audio corresponds to typical usage scenarios of handheld mobile devices. In order to allow weighting the relative importance of localization vs. detection, we will propose a twostage hierarchical system, where the first stage is to detect the target events, and the second stage is to localize them. The proposed method utilizes convolutional recurrent neural network (CRNN) and is evaluated on a database of manually annotated microphone array recordings from various acoustic conditions. The array is embedded in a contemporary mobile phone form factor. The obtained results show good speech detection and localization accuracy of the proposed method in contrast to a non-hierarchical flat classification model.

Robust direction estimation with convolutional neural networks based steered response power

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017

The Concept of Excess Quantity and Its Effect on the Contract of Sale in the Context of Wholesale Priced Goods

Diyanet İlmi Dergi

Satım akdinde satıma konu olan malın miktarı genelde akitte belirtilir. Ancak bazen malın miktarı... more Satım akdinde satıma konu olan malın miktarı genelde akitte belirtilir. Ancak bazen malın miktarının akitten sonra akitte belirtilenden daha fazla olduğu görülebilir. Bu durumda ortaya çıkan ziyade miktarın fıkhî hükmünün bilinmesi gerekir. Aksi takdirde taraflar nizaya ve tartışmaya düşer. Bu makalede toptan fiyatlı mallarda akitten sonra ortaya çıkan ziyade miktarın fıkhî hükmü ve akde tesiri ele alınmaktadır. Bu vesile ile tarafların böyle bir durumda nizaya düşmemesi, satım akitlerinden sonra ortaya çıkabilecek maldaki ziyade miktarlar konusunda müşteri ve satıcının daha dikkatli olması ve akit beyanına bununla ilgili açıklamaların eklenmesinin sağlanması hedeflenmektedir. Bu kazanımlar da sağlıklı akitlerin yapılmasına ve iktisadi istikrara gereken faydayı temin edecektir. Makalede öncelikle dokümantasyon yöntemi izlenerek kaynaklara ulaşılmış, bu kaynaklardaki görüşler ve delilleri tahlil edilip tüme varım ve tümdengelim yöntemleriyle fıkhî hükümler tespit edilmiştir. Satım ak...

COVID-19 ve Kanser

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the third largest outbreak of cor... more Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the third largest outbreak of coronaviruses, after SARS-CoV in 2002 and Middle-East respiratory syndrome coronavirus (MERS-COV) in 2012. The severity of the disease ranges from asymptomatic to acute respiratory distress syndrome. Solid organ and hematological malignancies are prone to infection due to neutropenia, lymphopenia, anatomical abnormalities, splenic or humoral defects, cytotoxic and other immunosuppressive treatments. However, there are also studies showing that the risk of covid-19 mortality is lower in prostate cancer patients receiving treatment such as LHRH agonists. For these reasons, extra care is required in the care and treatment of cancer patients with covid 19. Covid-19 is a multisystemic infection that affects many organs and predisposes to thrombosis. Cancer patients are more prone to thrombosis than normal patients. Cancer patients with Covid-19 have a high risk of thrombosis and therefore need

Ziyade Miktar Kavramı ve Birim Fiyatlı Mallarda Ziyade Miktarın Satım Akdine Etkisi

Eskişehir Osmangazi Üniversitesi İlahiyat Fakültesi Dergisi

Satım akdinde satıma konu olan malın miktarı genelde akitte belirtilir. Ancak bazen malın miktarı... more Satım akdinde satıma konu olan malın miktarı genelde akitte belirtilir. Ancak bazen malın miktarının akitten sonra akitte belirtilenden daha fazla olduğu gözlenebilir. Bu durumda ortaya çıkan ziyade miktarın fıkhî hükmünün bilinmesi gerekir. Aksi takdirde taraflar nizaya düşeceklerdir. Bu makalede birim fiyatlı mallarda akitten sonra ortaya çıkan ziyade miktarın fıkhî hükmü ve akde tesiri ele alınmaktadır. Bu vesile ile tarafların böyle bir durumda nizaya düşmemesi, satım akitlerinden sonra ortaya çıkabilecek maldaki ziyade miktarlarda müşteri ve satıcının daha dikkatli olması ve akit beyanına bununla ilgili açıklamaların eklenmesinin sağlanması hedeflenmektedir. Bu kazanımlar da sağlıklı akitlerin yapılmasına ve iktisadi istikrara gereken faydayı temin edecektir. Makalede öncelikle dokümantasyon yöntemi izlenerek kaynaklara ulaşılmış, bu kaynaklardaki görüşler ve delilleri tahlil edilip tüme varım ve tümdengelim yöntemleriyle fıkhî hükümler tespit edilmiştir. Satım akdinde ortaya ç...

Does Cyclin-dependent Kinase 4/6 Inhibitor Toxicity Predict Treatment Response in Metastatic Hormone Positive Breast Cancer?

In estrogen and/or progesterone receptor expression (hormone receptor [HR]-positive) without huma... more In estrogen and/or progesterone receptor expression (hormone receptor [HR]-positive) without human epidermal growth factor receptor 2 (HER2) overexpression (HR+/HER2−) metastatic breast cancer (MBC), a significant progression-free survival (PFS) benefit has been obtained with cyclin-dependent kinase 4/6 (CDK 4/6) inhibitor and endocrine therapy (ET) combinations in the first-line treatment. We mainly aimed to investigate whether the toxicities of CDK 4/6 inhibitors predict treatment response. This study was designed retrospectively. A total of 191 patients diagnosed with MBC were treated with CDK 4/6 inhibitors plus ETs between 2019 and 2021, in four centers included. One hundred six patients received ribociclib, and 85 patients received palbociclib. The most common adverse event in both groups was neutropenia. We found that toxicities didn’t predict response rates (RRs). Additionally, the RRs in patients with albumin levels above 4.1g/dl was better than that in patients with albumi...

İstanbul’da Demografi ve Göç (1840-1842): İstanbul’un Aylık Nüfus Raporları Üzerine Bir Analiz Denemesi

Üsküdar Üniversitesi Sosyal Bilimler Dergisi

Bu makale Tanzimat Fermanı’nın okunmasından hemen sonra İstanbul’un demografik görünümünü tasvir ... more Bu makale Tanzimat Fermanı’nın okunmasından hemen sonra İstanbul’un demografik görünümünü tasvir etmek amacıyla aylık nüfus raporlarını ele almaktadır. Aylık nüfus raporları en sade anlatımla, doğum, ölüm, gelen ve giden göç (nakl-i nüfus) ile İstanbul’u misafir olarak ziyaret eden tebaa ve yabancıların miktarları gibi nüfus üzerinde meydana gelen değişimleri sunan jurnallerdir. Müslüman, Rum, Ermeni, Katolik, Yahudi ve Roman unsurlardan oluşan Bilâd-ı Selâse (Eyüp, Galata ve Üsküdar) de dâhil olmak üzere İstanbul nüfusu hakkında raporların sunmuş olduğu veriler çeşitli parametrelere göre analiz edilmiştir. İstanbul nüfusunun dinî cemaat/milletlere göre dağılımı, aritmetik artış/düşüş eğilimleri, yetişkin/çocuk ölüm oranları, coğrafi hareketlilik ve göç gibi konularda çeşitli çıkarımlar yapılmıştır. İstanbul ve taşra arasındaki göç (nakl-i nüfus) ve misafirlik kapsamında değerlendirilen geliş/gidişlere dair veriler üzerinden coğrafi hareketliliğe dair tespit edilen bazı bulgular pay...

Efficacy and safety of folfiri plus aflibercept in second-line treatment of metastatic colorectal cancer: Real-life data from Turkish oncology group

Journal of Cancer Research and Therapeutics

COVID-19 prevalence and oncologic outcomes of asymptomatic patients with active cancer who received chemotherapy

Acta Medica Mediterranea, 2021

Human resources management in international context. With special reference to the UK,Spain and Turkey

Marmara Üniversitesi, 1999

Potential growth in Turkey: Sources and trends

Central Bank Review, 2022

Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders

Journal of The Audio Engineering Society, 2018

In this work, we propose a deep learning based method, namely, variational, convolutional recurre... more In this work, we propose a deep learning based method, namely, variational, convolutional recurrent autoencoders (VCRAE), for musical instrument synthesis. This method utilizes the higher level time-frequency representations extracted by the convolutional and recurrent layers to learn a Gaussian distribution in the training stage, which will be later used to infer unique samples through interpolation of multiple instruments in the usage stage. The reconstruction performance of VCRAE is evaluated by proxy through an instrument classifier, and provides significantly better accuracy than two other baseline autoencoder methods. The synthesized samples for the combinations of 15 different instruments are available on the companion website.

Geleneksel öğretim yöntemleri ile dramatizasyon yönteminin ilköğretim 2. sınıf matematik dersinde, öğrencilerin akademik başarı ve kavramların kalıcılık düzeylerine etkisinin karşılaştırılması

Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments

2021 29th European Signal Processing Conference (EUSIPCO), 2021

Joint sound event localization and detection (SELD) is an integral part of developing context awa... more Joint sound event localization and detection (SELD) is an integral part of developing context awareness into communication interfaces of mobile robots, smartphones, and home assistants. For example, an automatic audio focus for video capture on a mobile phone requires robust detection of relevant acoustic events around the device and their direction. Existing SELD approaches have been evaluated using material produced in controlled indoor environments, or the audio is simulated by mixing isolated sounds to different spatial locations. This paper studies SELD of speech in diverse everyday environments, where the audio corresponds to typical usage scenarios of handheld mobile devices. In order to allow weighting the relative importance of localization vs. detection, we will propose a twostage hierarchical system, where the first stage is to detect the target events, and the second stage is to localize them. The proposed method utilizes convolutional recurrent neural network (CRNN) and is evaluated on a database of manually annotated microphone array recordings from various acoustic conditions. The array is embedded in a contemporary mobile phone form factor. The obtained results show good speech detection and localization accuracy of the proposed method in contrast to a non-hierarchical flat classification model.

Sakarya Üniversitesi Tıbbi Onkoloji Kliniği 2017-2018 Yılı Akciğer Kanseri İstatistikleri

AMAC:Akciger kanseri Dunya 2. en sik gorulen kanser tipidir ve Dunya’ da en sik kanser olumune se... more AMAC:Akciger kanseri Dunya 2. en sik gorulen kanser tipidir ve Dunya’ da en sik kanser olumune sebebiyet veren kanser turudur.En sik iliskili oldugu risk faktoru sigaradir. Yaklasik %90' i sigara ile iliskilidir. Biz bu calismamizda Sakarya Universitesi Tip Fakultesi Tibbi Onkoloji Birimine basvuran 2017-2018 yilindaki hastalarin istatistiklerini cikarmayi amacladik. YONTEM VE GERECLER:Ocak 2017 -Ocak 2018 tarihleri arasinda takip edilen ve ilk kez akciger kanseri tanisi olan tum hastalar degerlendirmeye alindi. Baska organda malignitesi olup ikinci primer olarak akciger kanseri tanisi alan, onceden akciger kanseri olup nuks ile gelen hastalar calisma disi tutuldu.Dosyalardan geriye donuk PET/BT, kranial BT ve kranial MR, batin usg, kemik sintigrafileri ve yapilan diger goruntulemeleri incelenen olgular en son evreleme yontemi olan TNM 8’e gore degerlendirmeleri yapildi. BULGULAR:Calismamiza klinigimizde Ocak 2017-2018 yillari arasinda takip ettigimiz 251 akciger kanseri olan ha...

$Research paper thumbnail of Comparative assessment of three different second-line regimens in chemotherapy resistant / refractory small-cell lung cancer$

Comparative assessment of three different second-line regimens in chemotherapy resistant / refractory small-cell lung cancer

Journal of B.U.ON. : official journal of the Balkan Union of Oncology, 2021

PURPOSE Small cell lung cancer (SCLC) patients unresponsive or relapsing within 90 days following... more PURPOSE Small cell lung cancer (SCLC) patients unresponsive or relapsing within 90 days following frontline chemotherapy have poor prognosis and they should be treated with different chemotherapy regimens other than those used in the first-line regimen. Currently there is no globally accepted standard chemotherapeutic regimen for the treatment of these patients. This retrospective study was designed to compare CAV (Cyclophosphamide, Doxorubicin, Vincristine), weekly topotecan and weekly irinotecan regimens and to evaluate the efficacy of the three regimens in patients with chemotherapy resistant/refractory (CRR) SCLC. METHODS A total of 67 CRR-SCLC patients, who were treated with CAV, weekly topotecan and weekly irinotecan were reviewed for weekly irinotecan (27 for 60 mg/m2 intravenously on days 1, 8 and 15 of a 28-day cycle,24 for CAV (Cyclophosphamide 750 mg/m² on day 1, Doxorubicin 50 mg/m² on day 1 and Vincristine 1.4mg/m2 on day 1 every 3 weeks), 16 for weekly topotecan (4 mg/...

Deep Neural Networks for Sound Event Detection

The objective of this thesis is to develop novel classification and feature learning techniques f... more The objective of this thesis is to develop novel classification and feature learning techniques for the task of sound event detection (SED) in real-world environments. Throughout their lives, humans experience a consistent learning process on how to assign meanings to sounds. Thanks to this, most of the humans can easily recognize the sound of a thunder, dog bark, door bell, bird singing etc. In this work, we aim to develop systems that can automatically detect the sound events commonly present in our daily lives. Such systems can be utilized in e.g. contextaware devices, acoustic surveillance, bio-acoustical and healthcare monitoring, and smart-home cities. In this thesis, we propose to apply the modern machine learning methods called deep learning for SED. The relationship between the commonly used timefrequency representations for SED (such as mel spectrogram and magnitude spectrogram) and the target sound event labels are highly complex. Deep learning methods such as deep neural...

Türkiye'de 1994 ekonomik krizi ve krizin özel sektör üzerine etkileri

Robust direction estimation with convolutional neural networks based steered response power

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017