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2021
Autores
Schüle, R; Timmann, D; Erasmus, CE; Reichbauer, J; Wayand, M; Baets, J; Balicza, P; Chinnery, P; Dürr, A; Haack, T; Hengel, H; Horvath, R; Houlden, H; Kamsteeg, E; Kamsteeg, C; Lohmann, K; Macaya, A; Marcé Grau, A; Maver, A; Molnar, J; Münchau, A; Peterlin, B; Riess, O; Schöls, L; Schüle, R; Stevanin, G; Synofzik, M; Timmerman, V; van de Warrenburg, B; van Os, N; Vandrovcova, J; Wayand, M; Wilke, C; van de Warrenburg, B; Schöls, L; Wilke, C; Bevot, A; Zuchner, S; Beltran, S; Laurie, S; Matalonga, L; Graessner, H; Synofzik, M; Graessner, H; Zurek, B; Ellwanger, K; Ossowski, S; Demidov, G; Sturm, M; Schulze Hentrich, JM; Heutink, P; Brunner, H; Scheffer, H; Hoogerbrugge, N; Hoischen, A; ’t Hoen, PAC; Vissers, LELM; Gilissen, C; Steyaert, W; Sablauskas, K; de Voer, RM; Janssen, E; de Boer, E; Steehouwer, M; Yaldiz, B; Kleefstra, T; Brookes, AJ; Veal, C; Gibson, S; Wadsley, M; Mehtarizadeh, M; Riaz, U; Warren, G; Dizjikan, FY; Shorter, T; Töpf, A; Straub, V; Bettolo, CM; Specht, S; Clayton Smith, J; Banka, S; Alexander, E; Jackson, A; Faivre, L; Thauvin, C; Vitobello, A; Denommé Pichon, A; Duffourd, Y; Tisserant, E; Bruel, A; Peyron, C; Pélissier, A; Beltran, S; Gut, IG; Laurie, S; Piscia, D; Matalonga, L; Papakonstantinou, A; Bullich, G; Corvo, A; Garcia, C; Fernandez Callejo, M; Hernández, C; Picó, D; Paramonov, I; Lochmüller, H; Gumus, G; Bros Facer, V; Rath, A; Hanauer, M; Olry, A; Lagorce, D; Havrylenko, S; Izem, K; Rigour, F; Durr, A; Davoine, C; Guillot Noel, L; Heinzmann, A; Coarelli, G; Bonne, G; Evangelista, T; Allamand, V; Nelson, I; Yaou, RB; Metay, C; Eymard, B; Cohen, E; Atalaia, A; Stojkovic, T; Macek, M; Turnovec, M; Thomasová, D; Kremliková, RP; Franková, V; Havlovicová, M; Kremlik, V; Parkinson, H; Keane, T; Spalding, D; Senf, A; Robinson, P; Danis, D; Robert, G; Costa, A; Patch, C; Hanna, M; Houlden, H; Reilly, M; Vandrovcova, J; Muntoni, F; Zaharieva, I; Sarkozy, A; de Jonghe, P; Nigro, V; Banfi, S; Torella, A; Musacchia, F; Piluso, G; Ferlini, A; Selvatici, R; Rossi, R; Neri, M; Aretz, S; Spier, I; Sommer, AK; Peters, S; Oliveira, C; Pelaez, JG; Matos, AR; José, CS; Ferreira, M; Gullo, I; Fernandes, S; Garrido, L; Ferreira, P; Carneiro, F; Swertz, MA; Johansson, L; van der Velde, JK; van der Vries, G; Neerincx, PB; Roelofs Prins, D; Köhler, S; Metcalfe, A; Verloes, A; Drunat, S; Rooryck, C; Trimouille, A; Castello, R; Morleo, M; Pinelli, M; Varavallo, A; De la Paz, MP; Sánchez, EB; Martín, EL; Delgado, BM; de la Rosa, FJAG; Ciolfi, A; Dallapiccola, B; Pizzi, S; Radio, FC; Tartaglia, M; Renieri, A; Benetti, E; Balicza, P; Molnar, MJ; Maver, A; Peterlin, B; Münchau, A; Lohmann, K; Herzog, R; Pauly, M; Macaya, A; Marcé Grau, A; Osorio, AN; de Benito, DN; Lochmüller, H; Thompson, R; Polavarapu, K; Beeson, D; Cossins, J; Cruz, PMR; Hackman, P; Johari, M; Savarese, M; Udd, B; Horvath, R; Capella, G; Valle, L; Holinski Feder, E; Laner, A; Steinke Lange, V; Schröck, E; Rump, A;
Publicação
EUROPEAN JOURNAL OF HUMAN GENETICS
Abstract
2021
Autores
Schüle, R; Timmann, D; Erasmus, CE; Reichbauer, J; Wayand, M; Baets, J; Balicza, P; Chinnery, P; Dürr, A; Haack, T; Hengel, H; Horvath, R; Houlden, H; Kamsteeg, EJ; Kamsteeg, C; Lohmann, K; Macaya, A; Marcé Grau, A; Maver, A; Molnar, J; Münchau, A; Peterlin, B; Riess, O; Schöls, L; Schüle, R; Stevanin, G; Synofzik, M; Timmerman, V; van de Warrenburg, B; van Os, N; Vandrovcova, J; Wayand, M; Wilke, C; van de Warrenburg, B; Schöls, L; Wilke, C; Bevot, A; Zuchner, S; Beltran, S; Laurie, S; Matalonga, L; Graessner, H; Synofzik, M; Graessner, H; Zurek, B; Ellwanger, K; Ossowski, S; Demidov, G; Sturm, M; Schulze Hentrich, JM; Heutink, P; Brunner, H; Scheffer, H; Hoogerbrugge, N; Hoischen, A; ’t Hoen, PAC; Vissers, LELM; Gilissen, C; Steyaert, W; Sablauskas, K; de Voer, RM; Janssen, E; de Boer, E; Steehouwer, M; Yaldiz, B; Kleefstra, T; Brookes, AJ; Veal, C; Gibson, S; Wadsley, M; Mehtarizadeh, M; Riaz, U; Warren, G; Dizjikan, FY; Shorter, T; Töpf, A; Straub, V; Bettolo, CM; Specht, S; Clayton Smith, J; Banka, S; Alexander, E; Jackson, A; Faivre, L; Thauvin, C; Vitobello, A; Denommé Pichon, AS; Duffourd, Y; Tisserant, E; Bruel, AL; Peyron, C; Pélissier, A; Beltran, S; Gut, IG; Laurie, S; Piscia, D; Matalonga, L; Papakonstantinou, A; Bullich, G; Corvo, A; Garcia, C; Fernandez Callejo, M; Hernández, C; Picó, D; Paramonov, I; Lochmüller, H; Gumus, G; Bros Facer, V; Rath, A; Hanauer, M; Olry, A; Lagorce, D; Havrylenko, S; Izem, K; Rigour, F; Durr, A; Davoine, CS; Guillot Noel, L; Heinzmann, A; Coarelli, G; Bonne, G; Evangelista, T; Allamand, V; Nelson, I; Yaou, RB; Metay, C; Eymard, B; Cohen, E; Atalaia, A; Stojkovic, T; Macek, M; Turnovec, M; Thomasová, D; Kremliková, RP; Franková, V; Havlovicová, M; Kremlik, V; Parkinson, H; Keane, T; Spalding, D; Senf, A; Robinson, P; Danis, D; Robert, G; Costa, A; Patch, C; Hanna, M; Houlden, H; Reilly, M; Vandrovcova, J; Muntoni, F; Zaharieva, I; Sarkozy, A; de Jonghe, P; Nigro, V; Banfi, S; Torella, A; Musacchia, F; Piluso, G; Ferlini, A; Selvatici, R; Rossi, R; Neri, M; Aretz, S; Spier, I; Sommer, AK; Peters, S; Oliveira, C; Pelaez, JG; Matos, AR; José, CS; Ferreira, M; Gullo, I; Fernandes, S; Garrido, L; Ferreira, P; Carneiro, F; Swertz, MA; Johansson, L; van der Velde, JK; van der Vries, G; Neerincx, PB; Roelofs Prins, D; Köhler, S; Metcalfe, A; Verloes, A; Drunat, S; Rooryck, C; Trimouille, A; Castello, R; Morleo, M; Pinelli, M; Varavallo, A; De la Paz, MP; Sánchez, EB; Martín, EL; Delgado, BM; de la Rosa, FJAG; Ciolfi, A; Dallapiccola, B; Pizzi, S; Radio, FC; Tartaglia, M; Renieri, A; Benetti, E; Balicza, P; Molnar, MJ; Maver, A; Peterlin, B; Münchau, A; Lohmann, K; Herzog, R; Pauly, M; Macaya, A; Marcé Grau, A; Osorio, AN; de Benito, DN; Lochmüller, H; Thompson, R; Polavarapu, K; Beeson, D; Cossins, J; Cruz, PMR; Hackman, P; Johari, M; Savarese, M; Udd, B; Horvath, R; Capella, G; Valle, L; Holinski Feder, E; Laner, A; Steinke Lange, V; Schröck, E; Rump, A;
Publicação
European Journal of Human Genetics
Abstract
In the original publication of the article, consortium author lists were missing in the article. © 2021, The Author(s).
2021
Autores
Sousa, HO;
Publicação
CEUR Workshop Proceedings
Abstract
Although most Natural Language Processing tasks, such as Text Classification and Natural Language Translation, have experienced a major performance improvement due to recent advances in neural network architectures, Temporal Relation Extraction remains an open challenge. This leaves the door open for new research questions. In this paper, we provide a brief summary of the task and some of the recent efforts that have been made to solve it. In addition, some research opportunities yet to be explored are also discussed.
2021
Autores
Silva, VF; Silva, ME; Ribeiro, P; Silva, F;
Publicação
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
Abstract
There is nowadays a constant flux of data being generated and collected in all types of real world systems. These data sets are often indexed by time, space, or both requiring appropriate approaches to analyze the data. In univariate settings, time series analysis is a mature field. However, in multivariate contexts, time series analysis still presents many limitations. In order to address these issues, the last decade has brought approaches based on network science. These methods involve transforming an initial time series data set into one or more networks, which can be analyzed in depth to provide insight into the original time series. This review provides a comprehensive overview of existing mapping methods for transforming time series into networks for a wide audience of researchers and practitioners in machine learning, data mining, and time series. Our main contribution is a structured review of existing methodologies, identifying their main characteristics, and their differences. We describe the main conceptual approaches, provide authoritative references and give insight into their advantages and limitations in a unified way and language. We first describe the case of univariate time series, which can be mapped to single layer networks, and we divide the current mappings based on the underlying concept: visibility, transition, and proximity. We then proceed with multivariate time series discussing both single layer and multiple layer approaches. Although still very recent, this research area has much potential and with this survey we intend to pave the way for future research on the topic. This article is categorized under: Fundamental Concepts of Data and Knowledge > Data Concepts Fundamental Concepts of Data and Knowledge > Knowledge Representation
2021
Autores
Pinto, H; Pernice, R; Amado, C; Silva, ME; Javorka, M; Faes, L; Rocha, AP;
Publicação
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
Abstract
Heart Period (H) results from the activity of several coexisting control mechanisms, involving Systolic Arterial Pressure (S) and Respiration (R), which operate across multiple time scales encompassing not only short-term dynamics but also long-range correlations. In this work, multiscale representation of Transfer Entropy (TE) and of its decomposition in the network of these three interacting processes is obtained by extending the multivariate approach based on linear parametric VAR models to the Vector AutoRegressive Fractionally Integrated (VARFI) framework for Gaussian processes. This approach allows to dissect the different contributions to cardiac dynamics accounting for the simultaneous presence of short and long term dynamics. The proposed method is first tested on simulations of a benchmark VARFI model and then applied to experimental data consisting of H, S and R time series measured in healthy subjects monitored at rest and during mental and postural stress. The results reveal that the proposed method can highlight the dependence of the information transfer on the balance between short-term and long-range correlations in coupled dynamical systems.
2021
Autores
Rocha, AP; Pinto, H; Amado, C; Silva, ME; Pernice, R; Javorka, M; Faes, L;
Publicação
Proceedings of Entropy 2021: The Scientific Tool of the 21st Century
Abstract
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