Bi-directional brain-computer interfaces for the restoration of movement and sensation must simultaneously record neural signals and deliver cortical stimulation. This poses a challenge since stimulation artifacts can be orders of... more
Accurate and early prediction of a disease allows to plan and improve a patient's quality of future life. During pandemic situations, the medical decision becomes a speed challenge in which physicians have to act fast to diagnose and... more
Semantic Annotation of Deverbal Nominalizations in the Spanish AnCora corpus Aina Peris CLiC-UB Gran Via,585 08007 Barcelona aina.peris@ub.edu Mariona Taulé CLiC-UB Gran Via,585 08007 Barcelona mtaule@ub.edu Horaci Rodríguez TALP -UPC... more
Resumen: En este artículo se describe un nuevo recurso: AnCora-Nom, un léxico de nominalizaciones deverbales del español. Actualmente, contiene 1.655 entradas léxicas y 3.094 sentidos, donde cada sentido tiene asociado el tipo denotativo... more
Consumer electronic devices such as mobile handsets, goods tagged with RFID labels, location and position sensors are continuously generating a vast amount of location enriched data called geospatial data. Conventionally such geospatial... more
Todays, there are various of systems that requires high-level security methods. Due to the sophisticated methods of breaking the traditional security methods. One of the most advanced methods nowadays is handprint validation. Which is... more
Optical coherence tomography (OCT) is a non-invasive imaging modality which is widely used in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which is crucial for early diagnosis of retinal diseases. In... more
Purpose-To describe the various types of head-mounted display technology, their optical and human factors considerations, and their potential for use in low vision rehabilitation and vision enhancement. Methods-An overview of head-mounted... more
An overview of the applications of deep learning in ophthalmic diagnosis using retinal fundus images is presented. We also review various retinal image datasets that can be used for deep learning purposes. Applications of deep learning... more
Deep learning methods used for retinal diagnosis are typically "black boxes" that cannot explain how the system made its decision. In this study multiple explainability methods that highlight anomalous regions in OCT scans are compared... more
We propose a new method for training convolutional neural networks which integrates reinforcement learning along with supervised learning and use it for transfer learning for classification of glaucoma from colored fundus images. The... more
Medical brain image analysis is a necessary step in the Computers Assisted /Aided Diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and classification of various... more
An overview of the applications of deep learning in ophthalmic diagnosis using retinal fundus images is presented. We also review various retinal image datasets that can be used for deep learning purposes. Applications of deep learning... more
An overview of the applications of deep learning in ophthalmic diagnosis using retinal fundus images is presented. We also review various retinal image datasets that can be used for deep learning purposes. Applications of deep learning... more
Breast cancer is the most common invasive cancer in women, and the second main cause of death. Breast cancer screening is an efficient method to detect indeterminate breast lesions early. The common approaches of screening for women are... more
Medical brain image analysis is a necessary step in computer-assisted/computer-aided diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and classification of various... more
Penelitian ini memberikan kontribusi penting dalam mendukung implementasi pembelajaran yang lebih holistik dan berkelanjutan dalam pengembangan literasi sains dan kepedulian lingkungan.
Despite the high accuracy offered by state-of-the-art deep natural-language models (e.g. LSTM, BERT), their application in reallife settings is still widely limited, as they behave like a black-box to the end-user. Hence, explainability... more
The ability to correctly identify areas damaged by forest wildfires is essential to plan and monitor the restoration process and estimate the environmental damages after such catastrophic events. The wide availability of satellite data,... more
The accuracy and flexibility of Deep Convolutional Neural Networks (DCNNs) have been highly validated over the past years. However, their intrinsic opaqueness is still affecting their reliability and limiting their application in critical... more
The ability to correctly identify areas damaged by forest wildfires is essential to plan and monitor the restoration process and estimate the environmental damages after such catastrophic events. The wide availability of satellite data,... more
Despite the high accuracy offered by state-of-the-art deep natural-language models (e.g., LSTM, BERT), their application in real-life settings is still widely limited, as they behave like a black-box to the end-user. Hence, explainability... more
The adequacy of the model is evaluated by R-squared . Two-night recordings of the 45 subjects and segmented two-night recordings of 13 subjects, who are selected among the 45 subjects, are utilized for the validation of the second... more
A case based reasoning approach is introduced as a learning technique in the domain of machine translation of natural language. In our approach syntactical and semantic features are part of the cases in the case-base. To implement this,... more
Pemrograman Linier Parametrik merupakan model pengembangan analisis sensitivitas dimana koefisien input berubah secara simultan. Model ini mengembangkan pemecahan masalah dimana nilai koefisien input tidak diketahui dengan pasti, namun... more
Abstrak  Seiring dengan terjadinya perubahan variasi permintaan pada setiap periode untuk produksi tertentu menyebabkan perusahaan harus memiliki rencana produksi yang berbeda setiap periode sesuai dengan kapasitas produksi. Untuk... more
Pemilihan supplier menjadi hal yang penting bagi perusahaan. Hingga saat ini banyak perusahaan yang menentukan supplier berdasarkan intuisi, tidak disertai dengan kriteria evaluasi dan metode evaluasi yang rasional dan terukur. Akibatnya... more
Music is traditionally considered as a temporal art. At the same time, a musical work supposes organisation, unity, continuity. These are attributes of spatiality. By consequence, we are talking in music about a special kind of space -not... more
Применение регрессионного анализа и нейронных сетей для построения моделей рынка смартфонов Honor Козич Полина Александровна Приамурский государственный университет имени Шолом-Алейхема Студент Баженов Руслан Иванович Приамурский... more
Comprehensive, Precise and real time data regarding the position and characteristics of animals is necessary for safeguarding visitors inside a wildlife sanctuary. Investigations are made on the capability for automated, unambiguous and... more
We performed a cluster analysis of the low back pain dataset in the framework of the IFCS-2017 data challenge. Because the original data contained missing values, the first part of our analysis concerned the imputation of missing values... more
We performed a cluster analysis of the low back pain dataset in the framework of the IFCS-2017 data challenge. Because the original data contained missing values, the first part of our analysis concerned the imputation of missing values... more
Considerable efforts have been made over the last decades to improve the robustness of clustering algorithms against noise features and outliers, known to be important sources of error in clustering. Outliers dominate the... more
Biomarkers able to characterise and predict multifactorial diseases are still one of the most important targets for all the "omics" investigations. In this context, Matrix-Assisted Laser Desorption/Ionisation-Mass Spectrometry Imaging... more
Planning, scheduling and Resource levelling plays an important role in any construction project maybe it is construction of building or construction of road. In absence of proper planning, scheduling and resource levelling construction... more
Bu çalışmada, farklı kimyasal birimlere ait doğrusal olmayan süreçler içeren bir endüstriyel tesisteki 20 farklı arızanın tespiti ve sınıflandırılması yapılmıştır. Kullanılan veri seti büyük bir endüstriyel tesisten elde edilen... more
Identity uncertainty is the task of deciding whether two descriptions correspond to the same object. In this paper we discuss the identity uncertainty problem in the context of the person identity uncertainty problem -the problem of... more
There has been much recent progress in building ontologies and publishing scientific data based on these ontologies. This paper overviews issues and progress in the other half of semantic science: having machine accessible scientific... more
This paper attempts to cluster leukemia patients described by gene expression data, and to discover the most discriminating genes that are responsible for the clustering. A combined approach of Principal Direction Divisive Partitioning... more
We embed Thompson’s group V in the mapping class group of a mixing subshift of finite type. Question 6.3 in [Boyle-Chuysurichay, 17] asks whether these mapping class groups are sofic. Our result suggests that this question is difficult to... more
Background The increasing use of robot-assisted surgery (RAS) has led to the need for new methods of assessing whether new surgeons are qualified to perform RAS, without the resource-demanding process of having expert surgeons do the... more
There is no doubt that the ancient, prehistoric culture of the inhabitants of the twin cities of Mohenjo Daro and Harappa, was the subject matter of several scholarly studies ever since its discovery by Col. Cunningham, during the time of... more
Abstract- This paper presents a three-layer model for generation and recognition of attention-drawing behavior. The model enables a robot to recognize people’s attention-drawing behavior as well as to perform attention-drawing behavior to... more
This paper addresses bird song analysis based on semi-automatic annotation. The bird song analysis, which annotates bird songs by localizing their positions, extracting their timings, and identifying them, is an important research topic... more
We aimed to evaluate a computer-aided diagnosis (CADx) system for lung nodule classification focussing on (i) usefulness of the conventional CADx system (hand-crafted imaging feature + machine learning algorithm), (ii) comparison between... more