Last 7 days
Bookmark and Share    
Full Text
Peer Reviewed
See detailXPS Modeling of Immobilized Recombinant Angiogenin and Apoliprotein A1 on Biodegradable Nanofibers
Manakhov, Anton; Permyakova, Elizaveta; Ershov, Sergey UL et al

in Nanomaterials (2020), 10(5), 879

The immobilization of viable proteins is an important step in engineering efficient scaffolds for regenerative medicine. For example, angiogenin, a vascular growth factor, can be considered a neurotrophic ... [more ▼]

The immobilization of viable proteins is an important step in engineering efficient scaffolds for regenerative medicine. For example, angiogenin, a vascular growth factor, can be considered a neurotrophic factor, influencing the neurogenesis, viability, and migration of neurons. Angiogenin shows an exceptional combination of angiogenic, neurotrophic, neuroprotective, antibacterial, and antioxidant activities. Therefore, this protein is a promising molecule that can be immobilized on carriers used for tissue engineering, particularly for diseases that are complicated by neurotrophic and vascular disorders. Another highly important and viable protein is apoliprotein A1. Nevertheless, the immobilization of these proteins onto promising biodegradable nanofibers has not been tested before. In this work, we carefully studied the immobilization of human recombinant angiogenin and apoliprotein A1 onto plasma-coated nanofibers. We developed a new methodology for the quantification of the protein density of these proteins using X-ray photoelectron spectroscopy (XPS) and modeled the XPS data for angiogenin and apoliprotein A1 (Apo-A1). These findings were also confirmed by the analysis of immobilized Apo-A1 using fluorescent microscopy. The presented methodology was validated by the analysis of fibronectin on the surface of plasma-coated poly(ε-caprolactone) (PCL) nanofibers. This methodology can be expanded for other proteins and it should help to quantify the density of proteins on surfaces using routine XPS data treatment. [less ▲]

Detailed reference viewed: 32 (0 UL)
Full Text
Peer Reviewed
See detailAn Annotation Framework for Luxembourgish Sentiment Analysis
Sirajzade, Joshgun UL; Gierschek, Daniela UL; Schommer, Christoph UL

in Besacier, Laurent; Sakti, Sakriani; Soria, Claudia (Eds.) et al Proceedings of the LREC 2020 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020) (2020, May)

The aim of this paper is to present a framework developed for crowdsourcing sentiment annotation for the low-resource language Luxembourgish. Our tool is easily accessible through a web interface and ... [more ▼]

The aim of this paper is to present a framework developed for crowdsourcing sentiment annotation for the low-resource language Luxembourgish. Our tool is easily accessible through a web interface and facilitates sentence-level annotation of several annotators in parallel. In the heart of our framework is an XML database, which serves as central part linking several components. The corpus in the database consists of news articles and user comments. One of the components is LuNa, a tool for linguistic preprocessing of the data set. It tokenizes the text, splits it into sentences and assigns POS-tags to the tokens. After that, the preprocessed text is stored in XML format into the database. The Sentiment Annotation Tool, which is a browser-based tool, then enables the annotation of split sentences from the database. The Sentiment Engine, a separate module, is trained with this material in order to annotate the whole data set and analyze the sentiment of the comments over time and in relationship to the news articles. The gained knowledge can again be used to improve the sentiment classification on the one hand and on the other hand to understand the sentiment phenomenon from the linguistic point of view. [less ▲]

Detailed reference viewed: 29 (4 UL)
Full Text
See detailThe Lehman Sisters Claim
Lehnert, Thorsten UL

E-print/Working paper (2020)

I evaluate Christine Lagarde´s claim that more female leaders can be associated with more prudence, and less of the risky decision-making that had provoked the crisis. Indeed, the proportion of women who ... [more ▼]

I evaluate Christine Lagarde´s claim that more female leaders can be associated with more prudence, and less of the risky decision-making that had provoked the crisis. Indeed, the proportion of women who are employed in decision-making and management roles in governments, large enterprises and institutions varies substantially across European countries and is oftentimes below 30%. Research suggests that in addition to biological differences, men and women show morphological dissimilarities in specific brain regions, which explain the observed differences in behavior. As a result, female decision makers tend to be more risk averse, better suited to carefully analyze a problem, superior in multitasking and better in creating solutions that work for a group. Not surprisingly, firms with more female decision makers tend to outperform their peers in terms of productivity, profitability and stock performance while taking fewer risks. In this paper, I aim to explore the effect of female decision making on aggregate equity returns. Relying on an equilibrium asset-pricing model in an economy under jump diffusion, I decompose the moments of the returns of European stock market indices into a diffusive (systematic) risk and an (idiosyncratic) extreme event risk part. For a balanced panel of European countries, I find empirical evidence for a Lehman sisters’ effect: female decision making is an important determinant of (idiosyncratic) extreme event risk. As a result, stock markets in countries with more female decision makers are characterized by higher risk aversion, lower volatility and more positive return asymmetry, primarily driven by extreme event risk, e.g. the lower frequency of negative jumps. Results are robust to the inclusion of various controls for other country- or market-specific characteristics. [less ▲]

Detailed reference viewed: 21 (4 UL)
Full Text
Peer Reviewed
See detailProceedings of the 6th Global Conference on Artificial Intelligence (GCAI 2020)
Danoy, Grégoire UL; Pang, Jun UL; Sutcliffe

in 6th Global Conference on Artificial Intelligence (2020, May)

Detailed reference viewed: 94 (8 UL)
Full Text
Peer Reviewed
See detailCache-aided full-duplex: Delivery time analysis and optimization
Vu, Thang Xuan UL; Trinh, Anh Vu; Chatzinotas, Symeon UL et al

in Wireless Networks (2020)

Edge caching has received much attention as a promising technique to overcome the stringent latency and data-hungry challenges in the future generation wireless networks. Meanwhile, full-duplex (FD ... [more ▼]

Edge caching has received much attention as a promising technique to overcome the stringent latency and data-hungry challenges in the future generation wireless networks. Meanwhile, full-duplex (FD) transmission can improve the spectral efficiency by allowing a node to receive and transmit on the same frequency band simultaneously. In this paper, we investigate the delivery time performance of a cache-aided FD system, in which an edge node, operates in FD mode, serves users via wireless channels and is equipped with a cache memory. Firstly, we derive a closed-form expression for the average delivery time by taking into account the uncertainties of both backhaul and access wireless channels. The derived analysis allows the examination of the impact of the key parameters, e.g., cache size and transmit power. Secondly, a power optimization problem is formulated to minimize the average delivery time. To deal with the non-convexity of the formulated problem, we propose an iterative optimization algorithm based on the bisection method. Finally, numerical results are presented to demonstrate the effectiveness of the proposed algorithm, which can significantly reduce the delivery time compared to the FD reference and the half-duplex counterpart. [less ▲]

Detailed reference viewed: 83 (8 UL)
Full Text
Peer Reviewed
See detailMultichannel Source Separation Using Time-Deconvolutive CNMF
Dias, Thadeu; Alves Martins, Wallace UL; Biscainho, Luiz Wagner

in Journal of Communication and Information Systems (2020), 35(1), 103-112

This paper addresses the separation of audio sources from convolutive mixtures captured by a microphone array. We approach the problem using complex-valued non-negative matrix factorization (CNMF), and ... [more ▼]

This paper addresses the separation of audio sources from convolutive mixtures captured by a microphone array. We approach the problem using complex-valued non-negative matrix factorization (CNMF), and extend previous works by tailoring advanced (single-channel) NMF models, such as the deconvolutive NMF, to the multichannel factorization setup. Further, a sparsity-promoting scheme is proposed so that the underlying estimated parameters better fit the time-frequency properties inherent in some audio sources. The proposed parameter estimation framework is compatible with previous related works, and can be thought of as a step toward a more general method. We evaluate the resulting separation accuracy using a simulated acoustic scenario, and the tests confirm that the proposed algorithm provides superior separation quality when compared to a state-of-the-art benchmark. Finally, an analysis of the effects of the introduced regularization term shows that the solution is in fact steered toward a sparser representation. [less ▲]

Detailed reference viewed: 17 (2 UL)
Full Text
Peer Reviewed
See detailComponent Analysis of Adjectives in Luxembourgish for Detecting Sentiments
Sirajzade, Joshgun UL; Gierschek, Daniela UL; Schommer, Christoph UL

in Beermann, Dorothee; Besacier, Laurent; Sakti, Sakriani (Eds.) et al Proceedings of the LREC 2020 1st Joint SLTU and CCURL Workshop(SLTU-CCURL 2020) (2020, May)

The aim of this paper is to investigate the role of Luxembourgish adjectives in expressing sentiments in user comments written at the web presence of rtl.lu (RTL is the abbreviation for Radio Television ... [more ▼]

The aim of this paper is to investigate the role of Luxembourgish adjectives in expressing sentiments in user comments written at the web presence of rtl.lu (RTL is the abbreviation for Radio Television Lëtzebuerg). Alongside many textual features or representations, adjectives could be used in order to detect sentiment, even on a sentence or comment level. In fact, they are also by themselves one of the best ways to describe a sentiment, despite the fact that other word classes such as nouns, verbs, adverbs or conjunctions can also be utilized for this purpose. The empirical part of this study focuses on a list of adjectives that were extracted from an annotated corpus. The corpus contains the part of speech tags of individual words and sentiment annotation on the adjective, sentence, and comment level. Suffixes of Luxembourgish adjectives like -esch, -eg, -lech, -al, -el, -iv, -ent, -los, -bar and the prefix on- were explicitly investigated, especially by paying attention to their role in regards to building a model by applying classical machine learning techniques. We also considered the interaction of adjectives with other grammatical means, especially other part of speeches, e.g. negations, which can completely reverse the meaning, thus the sentiment of an utterance. [less ▲]

Detailed reference viewed: 31 (4 UL)
Full Text
Peer Reviewed
See detailDeep Learning for Beam Hopping in Multibeam Satellite Systems
Lei, Lei UL; Lagunas, Eva UL; Yuan, Yaxiong UL et al

in IEEE 91st Vehicular Technology Conference (VTC2020-Spring) (2020, May)

Detailed reference viewed: 133 (27 UL)
Full Text
See detailMarché du travail transfrontalier : Quelles équations à résoudre?
Pigeron-Piroth, Isabelle UL; Belkacem, Rachid

in Les Cahiers de la Grande Région (2020), 2

Après un premier numéro consacré aux évolutions démographiques, ce volume, édité par Rachid Belkacem (Université de Lorraine) et Isabelle Pigeron-Piroth (Université du Luxembourg) interroge les évolutions ... [more ▼]

Après un premier numéro consacré aux évolutions démographiques, ce volume, édité par Rachid Belkacem (Université de Lorraine) et Isabelle Pigeron-Piroth (Université du Luxembourg) interroge les évolutions actuelles et futures du marché du travail transfrontalier. Pour traiter ces différents aspects, cinq articles, constituant des synthèses de travaux réalisés par divers instituts (LISER, ADEM et STATEC) aborderont les questions de compétences recherchées dans la Grande Région, les inadéquations entre offres et demandes de travail, mais aussi les nouveaux modèles d’organisation du travail (télétravail), ou de croissance (croissance qualitative), reflets de ces équations difficiles à résoudre,mais aussi des problématiques d’actualité liées à la crise sanitaire . [less ▲]

Detailed reference viewed: 40 (8 UL)
Full Text
Peer Reviewed
See detailOpinion Statement ECJ-TF 1/2020 on the General Court Decisions of 24 September 2019 in "Starbucks" and "Fiat" on State Aid Granted by Transfer Pricing Rulings
Haslehner, Werner UL; Garcia Prats, Alfredo; Heydt, Volker et al

in European Taxation (2020), 60(5), 222-230

This CFE Opinion Statement, submitted to the EU Institutions on 28 January 2020, discusses the General Court decisions of 24 September 2019 in The Netherlands v. Commission (Starbucks) (Joined Cases C-760 ... [more ▼]

This CFE Opinion Statement, submitted to the EU Institutions on 28 January 2020, discusses the General Court decisions of 24 September 2019 in The Netherlands v. Commission (Starbucks) (Joined Cases C-760/15 and T-636/16) and Luxembourg v. Commission (Fiat Finance and Trade) (Joined Cases T-755/15 and T-759/15), on State aid granted by transfer pricing rulings. [less ▲]

Detailed reference viewed: 25 (1 UL)
See detailScrivere per ricordare
Portante, Claudio UL

in Cicotti, Claudio; Portante, Jean; Radicati, Stella (Eds.) Diamo forma alla vita (2020)

Detailed reference viewed: 86 (1 UL)
Full Text
See detailEditorial
Pigeron-Piroth, Isabelle UL; Belkacem, Rachid

in Les Cahiers de la Grande Région (2020), 2

Après un premier numéro consacré aux évolutions démographiques, ce volume, édité par Rachid Belkacem (Université de Lorraine) et Isabelle Pigeron-Piroth (Université du Luxembourg) interroge les évolutions ... [more ▼]

Après un premier numéro consacré aux évolutions démographiques, ce volume, édité par Rachid Belkacem (Université de Lorraine) et Isabelle Pigeron-Piroth (Université du Luxembourg) interroge les évolutions actuelles et futures du marché du travail transfrontalier. Pour traiter ces différents aspects, cinq articles, constituant des synthèses de travaux réalisés par divers instituts (LISER, ADEM et STATEC) aborderont les questions de compétences recherchées dans la Grande Région, les inadéquations entre offres et demandes de travail, mais aussi les nouveaux modèles d’organisation du travail (télétravail), ou de croissance (croissance qualitative), reflets de ces équations difficiles à résoudre,mais aussi des problématiques d’actualité liées à la crise sanitaire . [less ▲]

Detailed reference viewed: 41 (7 UL)
Full Text
See detailHOW DO EU MEMBER STATES TREAT CASES OF MISSING UNACCOMPANIED MINORS?
Sommarribas, Adolfo UL

Report (2020)

The phenomenon of migrant children going missing has recently received increased attention from the media in several Member States and the European Parliament. The debate focusses on unaccompanied minors ... [more ▼]

The phenomenon of migrant children going missing has recently received increased attention from the media in several Member States and the European Parliament. The debate focusses on unaccompanied minors who go missing. There is concern that the disappearance of unaccompanied minors is not addressed yet in an effective manner, as reflected in several recent publications by international organisations2 and European NGOs. In response to this concern, the EMN, at the request of the European Commission, has mapped how cases of unaccompanied children going missing are being treated in the Member States, and respectively, how data on missing children is collected. NGOs have been asked to reflect on the outcomes of this mapping exercise. [less ▲]

Detailed reference viewed: 57 (2 UL)
Full Text
Peer Reviewed
See detailPerformance Analysis of Distributed and Scalable Deep Learning
Mahon, S.; Varrette, Sébastien UL; Plugaru, Valentin UL et al

in 20th IEEE/ACM Intl. Symp. on Cluster, Cloud and Internet Computing (CCGrid'20) (2020, May)

With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning (ML). More ... [more ▼]

With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning (ML). More recently, a subset of ML known as Deep Learning (DL) raised an increased interest due to its inherent ability to tackle efficiently novel cognitive computing applications. DL allows computational models that are composed of multiple processing layers to learn in an automated way representations of data with multiple levels of abstraction, and can deliver higher predictive accuracy when trained on larger data sets. Based on Artificial Neural Networks (ANN), DL is now at the core of state of the art voice recognition systems (which enable easy control over e.g. Internet-of- Things (IoT) smart home appliances for instance), self-driving car engine, online recommendation systems. The ecosystem of DL frameworks is fast evolving, as well as the DL architectures that are shown to perform well on specialized tasks and to exploit GPU accelerators. For this reason, the frequent performance evaluation of the DL ecosystem is re- quired, especially since the advent of novel distributed training frameworks such as Horovod allowing for scalable training across multiple computing resources. In this paper, the scalability evaluation of the reference DL frameworks (Tensorflow, Keras, MXNet, and PyTorch) is performed over up-to-date High Performance Comput- ing (HPC) resources to compare the efficiency of differ- ent implementations across several hardware architectures (CPU and GPU). Experimental results demonstrate that the DistributedDataParallel features in the Pytorch library seem to be the most efficient framework for distributing the training process across many devices, allowing to reach a throughput speedup of 10.11 when using 12 NVidia Tesla V100 GPUs when training Resnet44 on the CIFAR10 dataset. [less ▲]

Detailed reference viewed: 97 (4 UL)
Full Text
Peer Reviewed
See detailPlay the Pain Away: Pain Regulation and Attention in Virtual Reality
Holl, Elisabeth UL; Rischer, Katharina Miriam UL; Battistutta, Layla UL et al

Scientific Conference (2020, May)

Virtual reality (VR) has been shown to be a powerful method to divert attention away from pain (Malloy & Milling, 2010). In an ongoing study (data collection will be finished in late December 2019 ... [more ▼]

Virtual reality (VR) has been shown to be a powerful method to divert attention away from pain (Malloy & Milling, 2010). In an ongoing study (data collection will be finished in late December 2019) healthy participants play the VR game Subnautica in two conditions (high vs. low cognitive load). Pain thresholds and psychophysiological measures are assessed during play to measure the distraction effect. Additionally, pain management will be compared to individual executive functions and attention investigated before playing. [less ▲]

Detailed reference viewed: 58 (5 UL)
Full Text
Peer Reviewed
See detailUnderstanding Moral Decision-Making in Video Games: A Focus Group Study
Holl, Elisabeth UL; Bernard, Steve UL; Melzer, André UL

Scientific Conference (2020, May)

Moral dilemmas have become increasingly popular in video games, although it is still widely unknown why players might find them pleasurable, how they process dilemmas, and which factors affect the ... [more ▼]

Moral dilemmas have become increasingly popular in video games, although it is still widely unknown why players might find them pleasurable, how they process dilemmas, and which factors affect the processing. Therefore, three different focus groups sessions with expert gamers (N = 16) were conducted. Gamers’ expressions of their experience with meaningful and morally relevant game situations were grouped for relevant topics. Topics are supported by direct quotations from participants of discussion groups, referring to up-to-date video game titles and presented together with respective theoretical assumptions. Results show that besides the game-defining theme of interactivity, statements can be grouped broadly into factors that describe why players engage or disengage in the first place (motivation) and factors that shape the moral interaction itself (influencing factors). In summary, our findings support the notion that moral-decision making in video games is a dynamic interplay between several game and user-dependent variables. Findings provide insights into players’ processing of moral dilemmas in video games, which also offers promising suggestions for future research using experimental setups. [less ▲]

Detailed reference viewed: 24 (0 UL)
Full Text
See detailReconciling data privacy with sharing in next-generation genomic workflows
Fernandes, Maria UL

Doctoral thesis (2020)

Privacy attacks reported in the literature alerted the research community for the existing serious privacy issues in current biomedical process workflows. Since sharing biomedical data is vital for the ... [more ▼]

Privacy attacks reported in the literature alerted the research community for the existing serious privacy issues in current biomedical process workflows. Since sharing biomedical data is vital for the advancement of research and the improvement of medical healthcare, reconciling sharing with privacy assumes an overwhelming importance. In this thesis, we state the need for effective privacy-preserving measures for biomedical data processing, and study solutions for the problem in one of the harder contexts, genomics. The thesis focuses on the specific properties of the human genome that make critical parts of it privacy-sensitive and tries to prevent the leakage of such critical information throughout the several steps of the sequenced genomic data analysis and processing workflow. In order to achieve this goal, it introduces efficient and effective privacy-preserving mechanisms, namely at the level of reads filtering right upon sequencing, and alignment. Human individuals share the majority of their genome (99.5%), the remaining 0.5% being what distinguishes one individual from all others. However, that information is only revealed after two costly processing steps, alignment and variant calling, which today are typically run in clouds for performance efficiency, but with the corresponding privacy risks. Reaping the benefits of cloud processing, we set out to neutralize the privacy risks, by identifying the sensitive (i.e., discriminating) nucleotides in raw genomic data, and acting upon that. The first contribution is DNA-SeAl, a systematic classification of genomic data into different levels of sensitivity with regard to privacy, leveraging the output of a state-of-the-art automatic filter (SRF) isolating the critical sequences. The second contribution is a novel filtering approach, LRF, which undertakes the early protection of sensitive information in the raw reads right after sequencing, for sequences of arbitrary length (long reads), improving SRF, which only dealt with short reads. The last contribution proposed in this thesis is MaskAl, an SGX-based privacy-preserving alignment approach based on the filtering method developed. These contributions entailed several findings. The first finding of this thesis is the performance × privacy product improvement achieved by implementing multiple sensitivity levels. The proposed example of three sensitivity levels allows to show the benefits of mapping progressively sensitive levels to classes of alignment algorithms with progressively higher privacy protection (albeit at the cost of a performance tradeoff). In this thesis, we demonstrate the effectiveness of the proposed sensitivity levels classification, DNA-SeAl. Just by considering three levels of sensitivity and taking advantage of three existing classes of alignment algorithms, the performance of privacy-preserving alignment significantly improves when compared with state-of-the-art approaches. For reads of 100 nucleotides, 72% have low sensitivity, 23% have intermediate sensitivity, and the remaining 5% are highly sensitive. With this distribution, DNA-SeAl is 5.85× faster and it requires 5.85× less data transfers than the binary classification – two sensitivity levels. The second finding is the sensitive genomic information filtering improvement by replacing the per read classification with a per nucleotide classification. With this change, the filtering approach proposed in this thesis (LRF) allows the filtering of sequences of arbitrary length (long reads), instead of the classification limited to short reads provided by the state-of-the-art filtering approach (SRF). This thesis shows that around 10% of an individuals genome is classified as sensitive by the developed LRF approach. This improves the 60% achieved by the previous state of the art, the SRF approach. The third finding is the possibility of building a privacy-preserving alignment approach based on reads filtering. The sensitivity-adapted alignment relying on hybrid environments, in particular composed by common (e.g., public cloud) and trustworthy execution environments (e.g., SGX enclave cloud) in clouds, gets the best of both worlds: it enjoys the resource and performance optimization of cloud environments,while providing a high degree of protection to genomic data. We demonstrate that MaskAl is 87% faster than existing privacy-preserving alignment algorithms (Balaur), with similar privacy guarantees. On the other hand, Maskal is 58% slower compared to BWA, a highly efficient non-privacy preserving alignment algorithm. In addition, MaskAl requires less 95% of RAM memory and it requires between 5.7 GB and 15 GB less data transfers in comparison with Balaur. This thesis breaks new ground on the simultaneous achievement of two important goals of genomics data processing: availability of data for sharing; and privacy preservation. We hope to have shown that our work, being generalisable, gives a significant step in the direction of, and opens new avenues for, wider-scale, secure, and cooperative efforts and projects within the biomedical information processing life cycle. [less ▲]

Detailed reference viewed: 131 (35 UL)
See detailI/O Logic Workbench
Steen, Alexander UL

Software (2020)

The I/O Logic Workbench is aimed at providing a browser-based automated reasoning system for various I/O logics. In short, the system allows you to input a set of norms and an input (the description of ... [more ▼]

The I/O Logic Workbench is aimed at providing a browser-based automated reasoning system for various I/O logics. In short, the system allows you to input a set of norms and an input (the description of the current situation), and provides automated means for inferring whether a certain formula can be derived as an obligation from this. [less ▲]

Detailed reference viewed: 40 (0 UL)
Full Text
Peer Reviewed
See detailAssyria in Early Modern Historiography
Sarha, Jennifer UL

in Grogan, Jane (Ed.) Beyond Greece and Rome: Reading the Ancient <near East in Early Modern Europe (2020)

This article provides a starting point for the understudied pre-nineteenth-century reception of Assyria. In early modern Europe, knowledge about ancient Assyria was mainly derived from a small pool of ... [more ▼]

This article provides a starting point for the understudied pre-nineteenth-century reception of Assyria. In early modern Europe, knowledge about ancient Assyria was mainly derived from a small pool of classical authors; an entirely textual tradition, centred around the figures of Semiramis and Sardanapalus, which was transmitted through strict repetition in late medieval and early modern history writing. The narrow scope and repetitive nature of this tradition raise questions for historiography – what kind of historical knowledge can be produced from such limited sources? And, crucially, what notions about Assyria can emerge here? By examining the treatment of Semiramis and Sardanapalus in three geographically and chronologically diverse case-studies (Giovanni Boccaccio, Johannes Carion and Philip Melanchthon, and Walter Ralegh), this article sheds light on the negotiations between received practices and historiographical trends, the influence of moral imperatives and gendered logic, and establishes the longevity and pan-European spread of the historiographical tradition on Assyria. [less ▲]

Detailed reference viewed: 16 (0 UL)
Full Text
Peer Reviewed
See detail3D DEFORMATION SIGNATURE FOR DYNAMIC FACE RECOGNITION
Shabayek, Abd El Rahman UL; Aouada, Djamila UL; Cherenkova, Kseniya UL et al

in 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona 4-8 May 2020 (2020, May)

Detailed reference viewed: 27 (0 UL)