"113 Computer and information sciences" - Selaus asiasanan mukaan TUNICRIS-julkaisut

Viitteet 1-20 / 2555

    • 1D Convolutional Neural Networks and Applications - A Survey 

      Kiranyaz, Serkan; Avci, Onur; Abdeljaber, Osama; Ince, Turker; Gabbouj, Moncef; Inman, Daniel J. (04 / 2021)
      article
      During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with ...

    • 20th Inverse Days 2014, Tampere 9th-11th December 2014 : Abstracts 

      Åkerblom, Markku; Tampere University; Department of Mathematics; Research group: MAT Inverse Problems (Tampere University of Technology, Department of Mathematics, 2014)
      report
      Proceedings of the Inverse Days 2014 conference organized in Tampere 9th - 11th December 2014. This document contains the schedule of the conference, the list of participants and the abstracts of the talks given at the conference.

    • 3D angle-of-arrival positioning using von Mises-Fisher distribution 

      Nurminen, Henri; Suomalainen, Laura; Ali-Löytty, Simo; Piche, Robert (IEEE, 2018)
      conferenceObject
      We propose modeling an angle-of-arrival (AOA) positioning measurement as a 3-dimensional von Mises-Fisher (VMF)-distributed unit vector instead of the conventional normally distributed azimuth and elevation measurements. ...

    • 3D Quantum Cuts for automatic segmentation of porous media in tomography images 

      Malik, Junaid; Kiranyaz, Serkan; Al-Raoush, Riyadh I.; Monga, Olivier; Garnier, Patricia; Foufou, Sebti; Bouras, Abdelaziz; Iosifidis, Alexandros; Gabbouj, Moncef; Baveye, Philippe C. (02 / 2022)
      article
      Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ...

    • 4DRoot : Root phenotyping software for temporal 3D scans by X-ray computed tomography 

      Herrero-Huerta, Monica; Raumonen, Pasi; Gonzalez-Aguilera, Diego (23.09.2022)
      article
      Currently, plant phenomics is considered the key to reducing the genotype-to-phenotype knowledge gap in plant breeding. In this context, breakthrough imaging technologies have demonstrated high accuracy and reliability. ...

    • About the Essence of Intelligence - Will Artificial Intelligence (Ever) Cover Human Intelligence? 

      Jaakkola, Hannu; Thalheim, Bernhard; Henno, Jaak; Tropmann-Frick, Marina; Jaakkola, Hannu; Thalheim, Bernhard; Kiyoki, Yasushi; Yoshida, Naofumi (IOS Press, 2022)
      bookPart
      Computers were originally developed for executing complex calculations fast and effectively. The intelligence of computer was based on arithmetic capabilities. This has been the mainstream in the development of computers ...

    • Academic AI literacy : Artificial intelligence in scholarly writing, editing, and publishing 

      Jaakkola, Maarit
      NordMedia Network Open Educational Resources (Nordicom, 2024)
      book

    • Academic Writing with GPT-3.5 (ChatGPT): Reflections on Practices, Efficacy and Transparency 

      Buruk, Oguz 'Oz' (ACM, 11 / 2023)
      conferenceObject
      The debate around the use of GPT-3.5 has been a popular topic among academics since the release of ChatGPT. Whilst some have argued for the advantages of GPT-3.5 in enhancing academic writing, others have raised concerns ...

    • Accelerated Shearlet-Domain Light Field Reconstruction 

      Vagharshakyan, Suren; Bregovic, Robert; Gotchev, Atanas (2017)
      article
      We consider the problem of reconstructing densely sampled light field (DSLF) from sparse camera views. In our previous work, the DSLF has been reconstructed by processing epipolar-plane images (EPI) employing sparse ...

    • Accelerating Neural ODEs Using Model Order Reduction 

      Lehtimäki, Mikko; Paunonen, Lassi; Linne, Marja-Leena (2024)
      article
      Embedding nonlinear dynamical systems into artificial neural networks is a powerful new formalism for machine learning. By parameterizing ordinary differential equations (ODEs) as neural network layers, these Neural ODEs ...

    • Acceleration Approaches for Big Data Analysis 

      Muravev, Anton; Thanh Tran, Dat; Iosifidis, Alexandros; Kiranyaz, Serkan; Gabbouj, Moncef (IEEE, 06.09.2018)
      conferenceObject
      The massive size of data that needs to be processed by Machine Learning models nowadays sets new challenges related to their computational complexity and memory footprint. These challenges span all processing steps involved ...

    • Acceleration of Kvazaar HEVC Intra Encoder With Machine Learning 

      Mercat, Alexandre; Lemmetti, Ari; Viitanen, Marko; Vanne, Jarno
      IEEE International Conference on Image Processing (IEEE, 26.08.2019)
      conferenceObject
      complexity of High Efficiency Video Coding (HEVC) poses a real challenge to HEVC encoder implementations. Particularly, the complexity stems from the HEVC quad-tree structure that also has an integral part in HEVC coding ...

    • Acceptance of game-based learning and intrinsic motivation as predictors for learning success and flow experience 

      Ninaus, Manuel; Moeller, Korbinian; McMullen, Jake; Kiili, Kristian (2017)
      article
      There is accumulating evidence that engagement with digital math games can improve students’ learning. However, in what way individual variables critical to game-based learning influence students' learning success still ...

    • Acceptance of the metaverse: A laboratory experiment on augmented and virtual reality shopping 

      Xi, Nannan; Chen, Juan; Da Graca Gama, Filipe; Korkeila, Henry; Hamari, Juho (26.01.2024)
      article

    • Acceptance of Wearable Technology : A Meta-Analysis 

      Peng, Chenming; Xi, Nannan; Zhao, Hong; Hamari, Juho; Bui, Tung X.
      Proceedings of the Annual Hawaii International Conference on System Sciences (Hawaii International Conference on System Sciences, 04.01.2022)
      conferenceObject
      Knowing what factors drive wearable technology adoption can help companies succeed in the competitive market of wearables. In this study, we conduct a meta-analysis on the relationships of technology acceptance of wearable ...

    • Accessibility of Kahoot! And Quizizz : Utilizing educational games with Elderly Students 

      Forssell, Mirkka; Hassan, Lobna; Turunen, Markku; Aura, Isabella (ACM, 29.03.2023)
      conferenceObject
      Learning is a lifelong process and the ways of learning and teaching have been changing in recent years, reform traditional classroom teaching to interactive, entertaining, and engaging teaching. Recent years have shown ...

    • Accidentally Successful Searching: Users' Perceptions of a Digital Library 

      Kumpulainen, Sanna W.; Kautonen, Heli (ACM, 2017)
      conferenceObject
      People usually search information by using queries that are targeted to match the wording of the documents in the collections. However, during their search processes they may discover some useful pieces of information they ...

    • Accuracy evaluation of a linear positioning system for light field capture 

      Vagharshakyan, Suren; Durmush, Ahmed; Suominen, Olli; Bregovic, Robert; Gotchev, Atanas (Springer Verlag, 2015)
      conferenceObject
      In this paper a method has been proposed for estimating the positions of a moving camera attached to a linear positioning system (LPS). By comparing the estimated camera positions with the expected positions, which were ...

    • Acoustic scene classification : An overview of dcase 2017 challenge entries 

      Mesaros, Annamaria; Heittola, Toni; Virtanen, Tuomas (IEEE, 02.11.2018)
      conferenceObject
      We present an overview of the challenge entries for the Acoustic Scene Classification task of DCASE 2017 Challenge. Being the most popular task of the challenge, acoustic scene classification entries provide a wide variety ...

    • Acoustic scene classification in DCASE 2020 Challenge : generalization across devices and low complexity solutions 

      Heittola, Toni; Mesaros, Annamaria; Virtanen, Tuomas; Ono, Nobutaka; Harada, Noboru; Kawaguchi, Yohei; Mesaros, Annamaria; Imoto, Keisuke; Koizumi, Yuma; Komatsu, Tatsuya (Tokyo Metropolitan University, 2020)
      conferenceObject