• Using transition learning to enhance mobile-controlled handover in decentralized future networks

  Platt, Steven; Demirel, Berkay; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Traditionally, resource management and capacity allocation has been controlled network-side in cellular deployment. As autonomicity has been added to network design, machine learning technologies have largely followed this ...
• On the deployment problem in cell-free networks

  Diaz-Vilor, Carles; Lozano Solsona, Angel; Jafarkhani, Hamid (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Cell-free (CF) structures are expected to be a game changer for beyond-5G wireless networks. With every user potentially communicating with every base station, cooperation at a central processing point is poised to provide ...
• Spatial-wideband effect in line-of-sight MIMO communication

  Mojahedian, Mohammad Mahdi; Attarifar, Masoud; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  This paper addresses the spatial-wideband effect in line-of-sight multiple-input multiple-output channels. This effect arises once the bandwidth is large enough that the differences in propagation delays for distinct ...
• 1-bit MIMO for terahertz channels

  Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  This paper tackles the problem of multiple-input multiple-output communication with 1-bit digital-to-analog and analog-to-digital converters. With the information-theoretic capacity as benchmark, the complementary strategies ...
• Benchmark of deep learning algorithms for the automatic screening in electrocardiograms transmitted by implantable cardiac devices

  Gassa, Narimane; Sacristan, Benjamin; Zemzemi, Nejib; Laborde, Maxime; Garrido Oliver, Juan; Matencio Perabla, Clara; Jimenez-Perez, Guillermo; Camara, Oscar; Ploux, Sylvain; Strik, Marc; Bordachar, Pierre; Dubois, Remi (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  The objective of this work was to benchmark different deep learning architectures for noise detection against cardiac arrhythmia episodes recorded by pacemakers and implantable cardioverter-defibrillators (PM/ICDs) and ...
• Melon playlist dataset: a public dataset for audio-based playlist generation and music tagging

  Ferraro, Andrés; Kim, Yuntae; Lee, Soohyeon; Kim, Biho; Jo, Namjun; Lim, Semi; Lim, Suyon; Jang, Jungtaek; Kim, Sehwan; Serra, Xavier; Bogdanov, Dmitry (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  One of the main limitations in the field of audio signal processing is the lack of large public datasets with audio representations and high-quality annotations due to restrictions of copyrighted commercial music. We present ...
• Self-supervised learning from automatically separated sound scenes

  Fonseca, Eduardo; Jansen, Aren; Ellis, Daniel P. W.; Wisdom, Scott; Tagliasacchi, Marco; Hershey, John R.; Plakal, Manoj; Hershey, Shawn; Moore, R. Channing; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Real-world sound scenes consist of time-varying collections of sound sources, each generating characteristic sound events that are mixed together in audio recordings. The association of these constituent sound events with ...
• Lightweight UAV-based measurement system for air-to-ground channels at 28 GHz

  Semkin, Vasilii; Kang, Seongjoon; Haarla, Jaakko; Xia, William; Huhtinen, Ismo; Geraci, Giovanni; Lozano Solsona, Angel; Loianno, Giuseppe; Mezzavilla, Marco; Rangan, Sundeep (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Wireless communication at millimeter wave frequencies is an attractive option for high-bit-rate connectivity to unmanned aerial vehicles (UAVs). However, conducting the channel measurements necessary to assess the communication ...
• Millimeter-wave UAV coverage in urban environments

  Kang, Seongjoon; Mezzavilla, Marco; Lozano Solsona, Angel; Geraci, Giovanni; Xia, William; Rangan, Sundeep; Semkin, Vasilii; Loianno, Giuseppe (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  With growing interest in mmWave connectivity for unmanned aerial vehicles (UAVs), a basic question is whether networks intended for terrestrial service can provide sufficient aerial coverage as well. To assess this possibility ...
• A sphere-packing exponent for mismatched decoding

  Kangarshahi, Ehsan Asadi; Guillén i Fàbregas, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  We derive a sphere-packing error exponent for mismatched decoding over discrete memoryless channels. We find a lower bound to the probability of error of mismatched decoding that decays exponentially for coding rates smaller ...
• Reinforcement learning for active modality selection during diagnosis

  Bernardino Perez, Gabriel; Jonsson, Anders, 1973-; Loncaric, Filip; Martí Castellote, Pablo Miki; Sitges, Marta; Clarysse, Patrick; Duchateau, Nicolas (Springer, 2022)

  Diagnosis through imaging generally requires the combination of several modalities. Algorithms for data fusion allow merging information from different sources, mostly combining all images in a single step. In contrast, ...
• Test time transform prediction for open set histopathological image recognition

  Galdran, Adrian; Hewitt, Katherine J.; Ghaffari Laleh, Narmin; Kather, Jakob N.; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2022)

  Tissue typology annotation in Whole Slide histological images is a complex and tedious, yet necessary task for the development of computational pathology models. We propose to address this problem by applying Open Set ...
• The effects of robot cognitive reliability and social positioning on child-robot team dynamics

  Charisi, Vicky; Merino, Luis; Escobar, María-José; Caballero, Fernando; Gomez, Randy; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Human collaboration is more likely to lead to cognitive growth when all group-members are actively involved in the collaborative process. However, there are cases that intragroup relationships need support. In this paper, ...
• Unsupervised contrastive learning of sound event representations

  Fonseca, Eduardo; Ortego, Diego; McGuinness, Kevin; O’Connor, Noel E.; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Self-supervised representation learning can mitigate the limitations in recognition tasks with few manually labeled data but abundant unlabeled data—a common scenario in sound event research. In this work, we explore ...
• Multimodal metric learning for tag-based music retrieval

  Won, Minz; Oramas, Sergio; Nieto Caballero, Oriol; Gouyon, Fabien; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Tag-based music retrieval is crucial to browse large-scale mu-sic libraries efficiently. Hence, automatic music tagging has been actively explored, mostly as a classification task, which has an inherent limitation: a fixed ...
• How low can you go? Reducing frequency and time resolution in current CNN architectures for music auto-tagging

  Ferraro, Andrés; Bogdanov, Dmitry; Serra, Xavier; Jeon, Jay Ho; Yoon, Jason (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  Automatic tagging of music is an important research topic in Music Information Retrieval and audio analysis algorithms proposed for this task have achieved improvements with advances in deep learning. In particular, many ...
• Electromagnetic modeling of holographic intelligent reflecting surfaces at Terahertz bands

  Dovelos, Konstantinos; Assimonis, Stylianos D.; Ngo, Hien Quoc; Bellalta, Boris; Matthaiou, Michail (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Intelligent reflecting surface (IRS)-assisted wireless communication is widely deemed a key technology for 6G systems. The main challenge in deploying an IRS-aided terahertz (THz) link, though, is the severe propagation ...
• Intelligent reflecting surfaces at terahertz bands: channel modeling and analysis

  Dovelos, Konstantinos; Assimonis, Stylianos D.; Ngo, Hien Quoc; Bellalta, Boris; Matthaiou, Michail (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  An intelligent reflecting surface (IRS) at terahertz (THz) bands is expected to have a massive number of reflecting elements to compensate for the severe propagation losses. However, as the IRS size grows, the conventional ...
• TXOP sharing with coordinated spatial reuse in multi-AP cooperative IEEE 802.11be WLANs

  Nunez, David; Wilhelmi Roca, Francesc; Avallone, Stefano; Smith, M.; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  IEEE 802.11be networks (aka Wi-Fi 7) will have to cope with new bandwidth-hungry and low-latency services such as eXtended Reality and multi-party cloud gaming. With this goal in mind, transmit opportunity (TXOP) sharing ...
• Learning contextual tag embeddings for cross-modal alignment of audio and tags

  Favory, Xavier; Drossos, Konstantinos; Virtanen, Tuomas; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Self-supervised audio representation learning offers an attractive alternative for obtaining generic audio embeddings, capable to be employed into various downstream tasks. Published approaches that consider both audio and ...

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