Search Results - "2020 15th Conference on Computer Science and Information Systems (FedCSIS)"

Overview of the Transformer-based Models for NLP Tasks by Gillioz, Anthony, Casas, Jacky, Mugellini, Elena, Khaled, Omar Abou

“…In 2017, Vaswani et al. proposed a new neural network architecture named Transformer. That modern architecture quickly revolutionized the natural language…”
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BiLSTM with Data Augmentation using Interpolation Methods to Improve Early Detection of Parkinson Disease by Abayomi-Alli, Olusola O., Damasevicius, Robertas, Maskeliunas, Rytis, Abayomi-Alli, Adebayo

“…The lack of dopamine in the human brain is the cause of Parkinson disease (PD) which is a degenerative disorder common globally to older citizens. However,…”
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Face Mask Detection at the Fog Computing Gateway by Rudraraju, Srinivasa Raju, Suryadevara, Nagender Kumar, Negi, Atul

“…This work proposes a fog computing-based face mask detection system for controlling the entry of a person into a facility. The proposed system uses fog nodes…”
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Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit by Janusz, Andrzej, Przyborowski, Mateusz, Biczyk, Piotr, Slezak, Dominik

“…We describe the 7th edition of the international data mining competition held at Knowledge Pit in association with the FedCSIS conference series. The goal was…”
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Foreword

“…Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the…”
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Requirement Elicitation Techniques for Software Projects in Ukrainian IT: An Exploratory Study by Gobov, Denys, Huchenko, Inna

“…Elicitation is a core business analysis/requirement engineering activity that provides inputs for another one: analysis, specification, confirmation,…”
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Deep Bi-Directional LSTM Networks for Device Workload Forecasting by Ruta, Dymitr, Cen, Ling, Vu, Quang Hieu

“…Deep convolutional neural networks revolutionized the area of automated objects detection from images. Can the same be achieved in the domain of time series…”
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Context Clustering-based Recommender Systems by Kannout, Eyad

“…Recommender systems have gained lots of attention due to the rapid increase in the amount of data on the internet. Therefore, the demand for finding more…”
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Bi-level Optimization Application for Urban Traffic Management by Stoilova, Krasimira, Stoilov, Todor

“…A bi-level modeling for traffic lights optimization is presented in the paper. The bi-level modeling allows increasing the set of control influences, the…”
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Instance Segmentation Model Created from Three Semantic Segmentations of Mask, Boundary and Centroid Pixels Verified on GlaS Dataset by Malik, Peter, Kristofik, Stefan, Knapova, Kristina

“…Segmentation is the key computer vision task in modern medicine applications. Instance segmentation became the prevalent way to improve segmentation…”
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Reinforcement Learning Algorithms for Online Single-Machine Scheduling by Li, Yuanyuan, Fadda, Edoardo, Manerba, Daniele, Tadei, Roberto, Terzo, Olivier

“…Online scheduling has been an attractive field of research for over three decades. Some recent developments suggest that Reinforcement Learning (RL) techniques…”
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Ant Colony Optimization Algorithm for Fuzzy Transport Modelling by Fidanova, Stefka, Roeva, Olympia, Ganzha, Maria

“…Public transport plays an important role in our live. It is very important to have a reliable service. Up to 1000 km, trains and buses play the main role in…”
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Intuitionistic Fuzzy Transportation Problem by Zero Point Method by Traneva, Velichka, Tranev, Stoyan

“…The transportation problems (TPs) support the optimal management of the transport deliveries. In classical TPs the decision maker has information about the…”
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A Social Robot-based Platform towards Automated Diet Tracking by Alexiadis, Anastasios, Triantafyllidis, Andreas, Elmas, Dimosthenis, Gerovasilis, Giorgos, Votis, Konstantinos, Tzovaras, Dimitrios

“…Diet tracking via self-reports or manual taking of meal photos might be difficult, time-consuming, and discouraging, especially for children, which limits the…”
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Short-term air pollution forecasting based on environmental factors and deep learning models by Arsov, Mirche, Zdravevski, Eftim, Lameski, Petre, Corizzo, Roberto, Koteli, Nikola, Mitreski, Kosta, Trajkovik, Vladimir

“…The effects of air pollution on people, the environment, and the global economy are profound - and often under-recognized. Air pollution is becoming a global…”
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BoostSole: Design and Realization of a Smart Insole for Automatic Human Gait Classification by Djamaa, Badis, Bessa, Med Messaoud, Diaf, Badreddine, Rouigueb, Abdenebi, Yachir, Ali

“…This paper presents BoostSole; a smart insole based system for automatic human gait recognition. It consists of a smart instrumented insole connected to the…”
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Game AI Competitions: Motivation for the Imitation Game-Playing Competition by Swiechowski, Maciej

“…Games have played crucial role in advancing research in Artificial Intelligence and tracking its progress. In this article, a new proposal for game AI…”
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Retrospective games in Intel Technology Poland by Mich, Dominik, Ng, Yen Ying

“…One of the Agile principles is that the team should regularly reflect on "how to become more effective, then tunes and adjusts its behavior accordingly". While…”
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Exploration into Deep Learning Text Generation Architectures for Dense Image Captioning by Toshevska, Martina, Stojanovska, Frosina, Zdravevski, Eftim, Lameski, Petre, Gievska, Sonja

“…Image captioning is the process of generating a textual description that best fits the image scene. It is one of the most important tasks in computer vision…”
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Interpolation merge as augmentation technique in the problem of ship classification by Polap, Dawid, Wlodarczyk-Sielicka, Marta

“…Quite a common problem during training the classifier is a small number of samples in the training database, which can significantly affect the obtained…”
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