Ara es mostren els items 84-103 de 103

    • Scaling a convolutional neural network for classification of adjective noun pairs with TensorFlow on GPU clusters 

      Campos, Víctor; Sastre, Francesc; Yagües, Maurici; Torres Viñals, Jordi; Giró Nieto, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Text en actes de congrés
      Accés obert
      Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide range of applications such as computer vision in both academia and multiple industry areas. The progress made in recent ...
    • Scaling DBSCAN-like algorithms for event detection systems in Twitter 

      Capdevila Pujol, Joan; Pericacho, Gonzalo; Torres Viñals, Jordi; Cerquides, Jesús (Springer, 2016-11-25)
      Capítol de llibre
      Accés obert
      The increasing use of mobile social networks has lately transformed news media. Real-world events are nowadays reported in social networks much faster than in traditional channels. As a result, the autonomous detection of ...
    • Sign language translation from instructional videos 

      Tarrés Benet, Laia; Gallego Olsina, Gerard Ion; Cardoso Duarte, Amanda; Torres Viñals, Jordi; Giró Nieto, Xavier (Computer Vision Foundation, 2023)
      Text en actes de congrés
      Accés obert
      The advances in automatic sign language translation (SLT) to spoken languages have been mostly benchmarked with datasets of limited size and restricted domains. Our work advances the state of the art by providing the first ...
    • Simulating complex systems with a low-detail model 

      Nou Castell, Ramon; Guitart Fernández, Jordi; Beltran Querol, Vicenç; Carrera Pérez, David; Montero Mercadé, Lídia; Torres Viñals, Jordi; Ayguadé Parra, Eduard (2005-09)
      Text en actes de congrés
      Accés obert
      In this paper we show how modeling and simulating a complex system such as a web-server can help to evaluate di erent metrics and proposals to improve the performance without necessity of using a real system. Many times ...
    • Skip RNN: learning to skip state updates in recurrent neural networks 

      Campos, Víctor; Jou, Brendan; Giró Nieto, Xavier; Torres Viñals, Jordi; Chang, Shih-Fu (Barcelona Supercomputing Center, 2018-04-24)
      Text en actes de congrés
      Accés obert
      Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty ...
    • Skip RNN: learning to skip state updates in recurrent neural networks 

      Campos Camunez, Victor; Jou, Brendan; Giró Nieto, Xavier; Torres Viñals, Jordi; Chang, Shih-Fu (2018)
      Comunicació de congrés
      Accés obert
      Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty ...
    • Spark deployment and performance evaluation on the MareNostrum supercomputer 

      Tous Liesa, Rubén; Gounaris, Anastasios; Tripiana, Carlos; Torres Viñals, Jordi; Girona Turell, Sergi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Becerra Fontal, Yolanda; Carrera Pérez, David; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Text en actes de congrés
      Accés obert
      In this paper we present a framework to enable data-intensive Spark workloads on MareNostrum, a petascale supercomputer designed mainly for compute-intensive applications. As far as we know, this is the first attempt to ...
    • Speeding up distributed MapReduce applications using hardware accelerators 

      Becerra Fontal, Yolanda; Beltran Querol, Vicenç; Carrera Pérez, David; González Tallada, Marc; Torres Viñals, Jordi; Ayguadé Parra, Eduard (2009-09)
      Text en actes de congrés
      Accés obert
      In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system architectures, operating systems and networks. ...
    • Tackling low-resourced sign language translation: UPC at WMT-SLT 22 

      Tarrés Benet, Laia; Gallego Olsina, Gerard Ion; Giró Nieto, Xavier; Torres Viñals, Jordi (Association for Computational Linguistics, 2022)
      Comunicació de congrés
      Accés obert
      This paper describes the system developed at the Universitat Politècnica de Catalunya for the Workshop on Machine Translation 2022 Sign Language Translation Task, in particular, for the sign-to-text direction. We use a ...
    • The Liver Tumor Segmentation Benchmark (LiTS) 

      Bilic, Patrick; Christ, Patrick; Li, Hongwei Bran; Vorontso, Eugene; Ben Cohen, Avi; Kaissis, Georgios; Szeski, Adi; Bellver Bueno, Míriam; Giró Nieto, Xavier; Torres Viñals, Jordi (2023-02)
      Article
      Accés obert
      In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International ...
    • The OTree: multidimensional indexing with efficient data sampling for HPC 

      Cugnasco, Cesare; Calmet, Hadrien; Santamaria Mateu, Pol; Sirvent Pardell, Raül; Eguzkitza, Ane Beatriz; Houzeaux, Guillaume; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés obert
      Spatial big data is considered an essential trend in future scientific and business applications. Indeed, research instruments, medical devices, and social networks generate hundreds of petabytes of spatial data per year. ...
    • Towards energy-aware scheduling in data centers using machine learning 

      Berral García, Josep Lluís; Goiri Presa, Íñigo; Nou Castell, Ramon; Julià, Ferran; Guitart Fernández, Jordi; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2010-04-15)
      Text en actes de congrés
      Accés obert
      As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to nd better and more efficient power-aware resource ...
    • Towards the cloudification of the social networks analytics 

      Cea, Daniel; Nin Guerrero, Jordi; Tous Liesa, Rubén; Torres Viñals, Jordi; Ayguadé Parra, Eduard (Springer, 2014)
      Text en actes de congrés
      Accés obert
      In the last years, with the increase of the available data from social networks and the rise of big data technologies, social data has emerged as one of the most profitable market for companies to increase their benefits. ...
    • Tuning dynamic web applications using fine-grain analysis 

      Guitart Fernández, Jordi; Carrera Pérez, David; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2005)
      Text en actes de congrés
      Accés obert
      In this paper we present a methodology to analyze the behavior and performance of Java application servers using a performance analysis framework. This framework, considers all levels involved in the application server ...
    • Tweet-SCAN: an event discovery technique for geo-located tweets 

      Capdevila Pujol, Joan; Cerquides, Jesús; Nin, Jordi; Torres Viñals, Jordi (Elsevier, 2017-07-01)
      Article
      Accés obert
      Twitter has become one of the most popular Location-based Social Networks (LBSNs) that bridges physical and virtual worlds. Tweets, 140-character-long messages, are aimed to give answer to the What’s happening? question. ...
    • User-generated content curation with deep convolutional neural networks 

      Tous Liesa, Rubén; Wust, Otto; Gómez, Mauro; Poveda, Jonatan; Elena, Marc; Torres Viñals, Jordi; Makni, Mouna; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Text en actes de congrés
      Accés obert
      In this paper, we report a work consisting in using deep convolutional neural networks (CNNs) for curating and filtering photos posted by social media users (Instagram and Twitter). The final goal is to facilitate searching ...
    • Utitily-based placement of dynamic Web applications with fairness goals 

      Carrera Pérez, David; Steinder, Malgorzata; Whalley, Ian; Torres Viñals, Jordi; Ayguadé Parra, Eduard (2008)
      Text en actes de congrés
      Accés obert
      We study the problem of dynamic resource allocation to clustered Web applications. We extend application server middleware with the ability to automatically decide the size of application clusters and their placement on ...
    • WAS control center: an autonomic performance-triggered tracing environment for WebSphere 

      Carrera Pérez, David; García, David; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2005)
      Text en actes de congrés
      Accés obert
      Studying any aspect of an application server with high availability requirements can become a tedious task when a continuous monitoring of the server status is necessary. The creation of performance-driven autonomic systems ...
    • Wav2Pix: speech-conditioned face generation using generative adversarial networks 

      Cardoso Duarte, Amanda; Roldan, Francisco; Tubau, Miquel; Escur, Janna; Pascual de la Puente, Santiago; Salvador Aguilera, Amaia; Mohedano, Eva; McGuinness, Kevin; Torres Viñals, Jordi; Giró Nieto, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Speech is a rich biometric signal that contains information about the identity, gender and emotional state of the speaker. In this work, we explore its potential to generate face images of a speaker by conditioning a ...
    • Work in progress: building a distributed generic stress tool for server performance and behavior analysis 

      Casanovas, Ada; Alonso López, Javier; Torres Viñals, Jordi; Andrzejak, Artur (IARIA, 2009)
      Text en actes de congrés
      Accés obert
      One of the primary tools for performance analysis of multi-tier systems are standardized benchmarks. They are used to evaluate system behavior under different circumstances to assess whether a system can handle real workloads ...