Exploració per tema "Aprenentatge automàtic"

Ara es mostren els items 21-40 de 1635

    • A Deep learning method for optimal stopping problems 

      Boix Torres, Andreu (Universitat Politècnica de Catalunya, 2023-07)
      Treball Final de Grau
      Accés obert
      L’objectiu principal d’aquest treball és complementar els fonaments teòrics i implementar el model de Deep Learning presentat a l’article anomenat “Deep Optimal Stopping”, de Becker et al, publicat al Journal of Machine ...

    • A deep reinforcement learning approach for path following on a quadrotor 

      Rubí Perelló, Bartomeu; Morcego Seix, Bernardo; Pérez Magrané, Ramon (2020)
      Text en actes de congrés
      Accés obert
      This paper proposes the Deep Deterministic Policy Grandient (DDPG) reinforcement learning algorithm to solve the path following problem in a quadrotor vehicle. This agent is implemented using a separated control and guidance ...

    • A Docker-based federated learning framework design and deployment for multi-modal data stream classification 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Kumar, Rohit (2023-05-11)
      Article
      Accés restringit per política de l'editorial
      In the high-performance computing (HPC) domain, federated learning has gained immense popularity. Especially in emotional and physical health analytics and experimental facilities. Federated learning is one of the most ...

    • A federated learning method for real-time emotion state classification from multi-modal streaming 

      Arijit, Nandi; Xhafa Xhafa, Fatos (Elsevier, 2022-08)
      Article
      Accés obert
      Emotional and physical health are strongly connected and should be taken care of simultaneously to ensure completely healthy persons. A person’s emotional health can be determined by detecting emotional states from various ...

    • A fuzzy rule model for high level musical features on automated composition systems 

      Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Springer, 2017)
      Capítol de llibre
      Accés obert
      Algorithmic composition systems are now well-understood. However, when they are used for specific tasks like creating material for a part of a piece, it is common to prefer, from all of its possible outputs, those exhibiting ...

    • A general guide to applying machine learning to computer architecture 

      Nemirovsky, Daniel; Arkose, Tugberk; Markovic, Nikola; Nemirovsky, Mario; Unsal, Osman Sabri; Cristal Kestelman, Adrián; Valero Cortés, Mateo (2018)
      Article
      Accés obert
      The resurgence of machine learning since the late 1990s has been enabled by significant advances in computing performance and the growth of big data. The ability of these algorithms to detect complex patterns in data which ...

    • A Generative Dialogue System for Reminiscence Therapy 

      Carós Roca, Mariona (Universitat Politècnica de Catalunya, 2019-09)
      Projecte Final de Màster Oficial
      Accés obert
      With people living longer than ever, the number of cases with neurodegenerative diseases such as Alzheimer's or cognitive impairment increases steadily. In Spain it affects more than 1.2 million patients and it is estimated ...

    • A greenability evaluation sheet for AI-based systems 

      Castaño Fernández, Joel (Universitat Politècnica de Catalunya, 2023-06-26)
      Treball Final de Grau
      Accés obert
      El auge de los sistemas de machine learning (ML), la mejora de sus capacidades y el mayor tamaño de los sistemas, ha incrementado el impacto medioambiental de los modelos ML. Sin embargo, la información sobre cómo se mide, ...

    • A hierarchical framework for collaborative artificial intelligence 

      Crowley, James L; Coutaz, Joëlle; Grosinger, Jasmin; Vázquez Salceda, Javier; Angulo Bahón, Cecilio; Sanfeliu Cortés, Alberto; Iocchi, Luca; Cohn, Anthony G. (2023-01)
      Article
      Accés obert
      We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the information that must be shared, with each ...

    • A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL 

      Jaksic, Zoran; Cadenelli, Nicola; Buchaca Prats, David; Polo Bardés, Jordà; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2020-03-01)
      Article
      Accés obert
      Conditional Restricted Boltzmann Machine (CRBM) is a promising candidate for a multidimensional system modeling that can learn a probability distribution over a set of data. It is a specific type of an artificial neural ...

    • A Human Shape-Motion Predictor with Deep Learning 

      Romero Mérida, Antonio (Universitat Politècnica de Catalunya, 2019-04-24)
      Projecte Final de Màster Oficial
      Accés obert
      The objective of this work is to obtain an end-to-end solution which predicts human motion and shape from a given video by extracting its pose in the Wild. Given incomplete human motion sequences our goal is to predict and ...

    • A human-in-the-loop approach based on explainability to improve NTL detection 

      Coma Puig, Bernat; Carmona Vargas, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      Implementing systems based on Machine Learning to detect fraud and other Non-Technical Losses (NTL) is challenging: the data available is biased, and the algorithms currently used are black-boxes that cannot be either ...

    • A Learning Approach to Solving Automatic Control Problems 

      Parellada Calderer, Benjami (Universitat Politècnica de Catalunya, 2022-10-18)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      Els problemes de control automàtic poden ser extremadament difícils de resoldre per a qualsevol algoritme no adaptatiu. El control automàtic implica l'avaluació en temps real de les respostes d'un sistema que es retroalimenta ...

    • A learning system for adjustment processes based on human sensory perceptions 

      Ruiz Vegas, Francisco Javier; Agell Jané, Núria; Angulo Bahón, Cecilio; Sánchez Soler, Monica (2018-12-01)
      Article
      Accés obert
      Creating, designing and adjusting products are essential decision processes underlying creative industries, such as painting, perfume, food and beverage industries. These processes require the participation and continuous ...

    • A lightweight perception module for planning purposes 

      Ud Din, Muhayy; Rosell Gratacòs, Jan; Bukhari, Sohail; Ahmad, Mansoor; Qazi, Wajahat Mahmood (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Comunicació de congrés
      Accés obert
      Sensing is an essential component for robots to perform the manipulation tasks in real environments. This study proposes a lightweight deep-learning-based sensing modules which allows the robots to automatically model the ...

    • A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields 

      López, Emiliano; Vionnet, Carlos; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Contini, Guillermo; Prodolliet, Jorge; Maiztegui, José (2022-09-09)
      Article
      Accés obert
      The simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ...

    • A lower bound for learning distributions generated by probabilistic automata 

      Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (Springer, 2010)
      Text en actes de congrés
      Accés obert
      Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability μ of the target machine, besides the number of states and the usual accuracy and confidence parameters. ...

    • A machine learning approach for layout inference in spreadsheets 

      Koci, Elvis; Thiele, Maik; Romero Moral, Óscar; Lehner, Wolfgang (SciTePress, 2016)
      Text en actes de congrés
      Accés obert
      Spreadsheet applications are one of the most used tools for content generation and presentation in industry and the Web. In spite of this success, there does not exist a comprehensive approach to automatically extract and ...

    • A machine learning approach for optimal positioning of piezoelectric sensors for an Unmanned Air Vehicle -UAV- 

      Murgia, Alessio (Universitat Politècnica de Catalunya, 2023-10-17)
      Projecte Final de Màster Oficial
      Accés obert
      The field of Structural Health Monitoring (SHM) is in continuous development. Its applications are many, spacing from bridges to wind turbine all the way through air vehicles and drones. The focus of this project will be ...

    • A machine learning approach to calculate the dropout risk factor in a children's programming school 

      Horta Bartomeu, Raquel (Universitat Politècnica de Catalunya, 2019-01-29)
      Treball Final de Grau
      Accés restringit per acord de confidencialitat