Last 7 days
Bookmark and Share    
Full Text
Peer Reviewed
See detailNo Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing
Attygalle, Nuwan T.; Leiva, Luis A. UL; Kljun, Matjaž et al

in Sensors (2021), 21(17),

Detailed reference viewed: 47 (1 UL)
Full Text
Peer Reviewed
See detailAttentive Sequence-to-Sequence Modeling of Stroke Gestures Articulation Performance
Kumar T., Lokesh; Leiva, Luis A. UL

in IEEE Transactions on Human-Machine Systems (2021), 51(6),

Detailed reference viewed: 46 (0 UL)
Full Text
Peer Reviewed
See detailEvolutionary Learning of Private Equity Recommitment Strategies
Kieffer, Emmanuel UL; Pinel, Frederic UL; Meyer, Thomas et al

in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021)

Achieving and maintaining high allocations to Private Equity and keeping allocations at the targeted level through recommitment strategies is a complex task which needs to be balanced against the risk of ... [more ▼]

Achieving and maintaining high allocations to Private Equity and keeping allocations at the targeted level through recommitment strategies is a complex task which needs to be balanced against the risk of becoming a defaulting investor. When looking at recommitments we are quickly faced with a combinatorial explosion of the solution space, rendering explicit enumeration impossible. As a consequence, manual management if any is becoming time-consuming and error-prone. For this reason, investors need guidance and decision aid algorithms producing reliable, robust and trustworthy recommitment strategies. In this work, we propose to generate automatically recommitment strategies based on the evolution of symbolic expressions to provide clear and understandable decision rules to Private Equity experts and investors. To the best of our knowledge, this is the first time a methodology to learn recommitment strategies using evolutionary learning is proposed. Experiments demonstrate the capacity of the proposed approach to generate efficient and robust strategies, keeping a high degree of investment while bounding the risk of being overinvested. [less ▲]

Detailed reference viewed: 62 (0 UL)
Full Text
Peer Reviewed
See detailCOBREXA.jl: constraint-based reconstruction and exascale analysis
Kratochvil, Miroslav UL; Heirendt, Laurent UL; Wilken, St Elmo et al

in Bioinformatics (2021)

COBREXA.jl is a Julia package for scalable, high-performance constraint-based reconstruction and analysis of very large-scale biological models. Its primary purpose is to facilitate the integration of ... [more ▼]

COBREXA.jl is a Julia package for scalable, high-performance constraint-based reconstruction and analysis of very large-scale biological models. Its primary purpose is to facilitate the integration of modern high performance computing environments with the processing and analysis of large-scale metabolic models of challenging complexity. We report the architecture of the package, and demonstrate how the design promotes analysis scalability on several use-cases with multi-organism community models.https://doi.org/10.17881/ZKCR-BT30.Supplementary data are available at Bioinformatics online. [less ▲]

Detailed reference viewed: 6 (2 UL)
Full Text
Peer Reviewed
See detailProximal Policy Optimisation for a Private Equity Recommitment System
Kieffer, Emmanuel UL; Pinel, Frederic UL; Meyer, Thomas et al

in Springer CCIS series (2021)

Recommitments are essential for limited partner investors to maintain a target exposure to private equity. However, recommitting to new funds is irrevocable and expose investors to cashflow uncertainty ... [more ▼]

Recommitments are essential for limited partner investors to maintain a target exposure to private equity. However, recommitting to new funds is irrevocable and expose investors to cashflow uncertainty and illiquidity. Maintaining a specific target allocation is therefore a tedious and critical task. Unfortunately, recommitment strategies are still manually designed and few works in the literature have endeavored to develop a recommitment system balancing opportunity cost and risk of default. Due to its strong similarities to a control system, we propose to “learn how to recommit” with Reinforcement Learning (RL) and, more specifically, using Proximal Policy Optimisation (PPO). To the best of our knowledge, this is the first attempt a RL algorithm is applied to private equity with the aim to solve the recommitment problematic. After training the RL model on simulated portfolios, the resulting recommitment policy is compared to state-of-the-art strategies. Numerical results suggest that the trained policy can achieve high target allocation while bounding the risk of being overinvested. [less ▲]

Detailed reference viewed: 31 (2 UL)
Full Text
Peer Reviewed
See detailThe Comprehensive Mindfulness Experience: A Typological Approach to the Potential Benefits of Mindfulness for Dealing with Motivational Conflicts
Grund, Axel UL; Senker, Kerstin; Dietrich, Julia et al

in Motivation Science (2021)

We wanted to address two critical limitations of research on mindfulness and motivational conflict, by (a) distinguishing between conflict experiences and conflict reactivity and (b) by applying a ... [more ▼]

We wanted to address two critical limitations of research on mindfulness and motivational conflict, by (a) distinguishing between conflict experiences and conflict reactivity and (b) by applying a typological approach, exploring natural combinations of two core qualities of (state) mindfulness: present moment awareness and a nonjudgmental stance. Using an experience-sampling (ES) design (N = 107 on the personal and 3862 at the observational level) with baseline and posttest measures of general affective wellbeing, we found that between-person differences in everyday conflict reactivity (i.e., perseverative and self-evaluative reactions toward conflict experiences) but not in conflict experiences per se (i.e., feeling that one wants to or should do something else) predicted impaired affective well-being after the ES period. Furthermore, multilevel latent profile analysis showed that momentary conflict reactivity was lowest when participants reported to be both momentarily aware and nonjudgmental, mirroring the comprehensive mindfulness experience. These effects existed while controlling for baseline and accompanying affect as well as for conflict intensity, strengthening the idea that motivational conflict itself is not a critical instance of self-regulation failure and that being mindful may contribute to remain functionally efficient and psychological well-adjusted. [less ▲]

Detailed reference viewed: 48 (1 UL)
Full Text
Peer Reviewed
See detailDifferentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms
Klamminger, Gilbert Georg; Klein, Karoline; Mombaerts, Laurent UL et al

in Free Neuropathology (2021), 2

Objective and Methods: Timely discrimination between primary CNS lymphoma (PCNSL) and glioblastoma is crucial for diagnostics and therapy, but most importantly also determines the intraoperative surgical ... [more ▼]

Objective and Methods: Timely discrimination between primary CNS lymphoma (PCNSL) and glioblastoma is crucial for diagnostics and therapy, but most importantly also determines the intraoperative surgical course. Advanced radiological methods allow this to a certain extent but ultimately, biopsy is still necessary for final diagnosis. As an upcoming method that enables tissue analysis by tracking changes in the vibrational state of molecules via inelastic scattered photons, we used Raman Spectroscopy (RS) as a label free method to examine specimens of both tumor entities intraoperatively, as well as postoperatively in formalin fixed paraffin embedded (FFPE) samples. Results: We applied and compared statistical performance of linear and nonlinear machine learning algorithms (Logistic Regression, Random Forest and XGBoost), and found that Random Forest classification distinguished the two tumor entities with a balanced accuracy of 82,4% in intraoperative tissue condition and with 94% using measurements of distinct tumor areas on FFPE tissue. Taking a deeper insight into the spectral properties of the tumor entities, we describe different tumor-specific Raman shifts of interest for classification. Conclusions: Due to our findings, we propose RS as an additional tool for fast and non-destructive, perioperative tumor tissue discrimination, which may augment treatment options at an early stage. RS may further serve as a useful additional tool for neuropathological diagnostics with little requirements for tissue integrity. [less ▲]

Detailed reference viewed: 31 (0 UL)
Full Text
See detailQuantizations of Lie bialgebras, duality involution and oriented graph complexes
Merkoulov (merkulov), Serguei UL; Zivkovic, Marko UL

E-print/Working paper (2021)

We prove that the action of the Grothendieck-Teichmüller group on the genus completed properad of (homotopy) Lie bialgebras commutes with the reversing directions involution of the latter. We also prove ... [more ▼]

We prove that the action of the Grothendieck-Teichmüller group on the genus completed properad of (homotopy) Lie bialgebras commutes with the reversing directions involution of the latter. We also prove that every universal quantization of Lie bialgebras is homotopy equivalent to the one which commutes with the duality involution exchanging Lie bracket and Lie cobracket. The proofs are based on a new result in the theory of oriented graph complexes (which can be of independent interest) saying that the involution on an oriented graph complex that changes all directions on edges induces the identity map on its cohomology. [less ▲]

Detailed reference viewed: 27 (0 UL)
Full Text
Peer Reviewed
See detailEvaluation of global ocean tide models based on tidal gravity observations in China
Tan, Hongbo; Francis, Olivier UL; Wu, Guiju et al

in Geodesy and Geodynamics (2021), 12(6), 451-458

Previous studies show that the calculated loading effects from global ocean tide models do not match actual measurements of gravity attraction and loading effects in Southeast Asia. In this paper, taking ... [more ▼]

Previous studies show that the calculated loading effects from global ocean tide models do not match actual measurements of gravity attraction and loading effects in Southeast Asia. In this paper, taking advantage of a unique network of gravity tidal stations all over the Chinese mainland, we compare the observed and modeled tidal loading effects on the basis of the most recent global ocean tide models. The results show that the average efficiencies of the ocean tidal loading correction for O1, K1, M2 are 77%, 73% and 59%, respectively. The loading correction efficiencies using recent ocean tidal models are better than the 40 years old Schwiderskis model at coastal stations, but relative worse at stations far from ocean. [less ▲]

Detailed reference viewed: 15 (0 UL)
Full Text
Peer Reviewed
See detailThe Geostationary Ring: Practice and Law, Martha Mejia-Kaiser, Nijhoff/ Brill, Leiden 2020
Hofmann, Mahulena UL; Blount, Percy UL

in Air and Space Law (2021), 46(3), 475-478

The book is a comprehensive analysis of the international regime of the geostationary orbit.

Full Text
See detailDivision in modules and Kummer theory
Tronto, Sebastiano UL

E-print/Working paper (2021)

In this work we generalize the concept of injective module and develop a theory of divisibility for modules over a general ring, which provides a general and unified framework to study Kummer-like field ... [more ▼]

In this work we generalize the concept of injective module and develop a theory of divisibility for modules over a general ring, which provides a general and unified framework to study Kummer-like field extensions arising from commutative algebraic groups. With these tools we provide an effective bound for the degree of the field extensions arising from division points of elliptic curves, extending previous results of Javan Peykar for CM curves and of Lombardo and the author for the non-CM case. [less ▲]

Full Text
See detailSome uniform bounds for elliptic curves over Q
Lombardo, Davide; Tronto, Sebastiano UL

E-print/Working paper (2021)

We give explicit uniform bounds for several quantities relevant to the study of Galois representations attached to elliptic curves E/Q. We consider in particular the subgroup of scalars in the image of ... [more ▼]

We give explicit uniform bounds for several quantities relevant to the study of Galois representations attached to elliptic curves E/Q. We consider in particular the subgroup of scalars in the image of Galois, the first Galois cohomology group with values in the torsion of E, and the Kummer extensions generated by points of infinite order in E(Q). [less ▲]

Full Text
See detailZwei Doktorarbeiten zwischen Geist und Informatik
Schommer, Christoph UL

E-print/Working paper (2020)

The article is a snapshot and presents two doctoral students who finished their dissertations at the beginning of 2020: Dr Siwen Guo and Dr Tahereh Pazouki.

Detailed reference viewed: 47 (2 UL)
Full Text
See detailRadical entanglement for elliptic curves
Tronto, Sebastiano UL

E-print/Working paper (2020)

Let G be a commutative connected algebraic group over a number field K, let A be a finitely generated and torsion-free subgroup of G(K) of rank r>0 and, for n>1, let K(n^{−1}A) be the smallest extension ... [more ▼]

Let G be a commutative connected algebraic group over a number field K, let A be a finitely generated and torsion-free subgroup of G(K) of rank r>0 and, for n>1, let K(n^{−1}A) be the smallest extension of K inside an algebraic closure K¯ over which all the points P∈G(K¯) such that nP∈A are defined. We denote by s the unique non-negative integer such that G(K¯)[n]≅(Z/nZ)s for all n≥1. We prove that, under certain conditions, the ratio between nrs and the degree [K(n^{−1}A):K(G[n])] is bounded independently of n>1 by a constant that depends only on the ℓ-adic Galois representations associated with G and on some arithmetic properties of A as a subgroup of G(K) modulo torsion. In particular we extend the main theorems of [13] about elliptic curves to the case of arbitrary rank [less ▲]

Full Text
Peer Reviewed
See detailA Fast Solution to the Dual Arm Robotic Sequencing Problem
Suárez-Ruiz, Francisco; Martinez Luna, Carol UL

in Advances in Automation and Robotics Research (2019)

Detailed reference viewed: 21 (0 UL)
Full Text
Peer Reviewed
See detailSafety Protocol for Collaborative Human-Robot Recycling Tasks
Medina, Angie C.; Mora, Juan F.; Martinez Luna, Carol UL et al

in IFAC-PapersOnLine (2019), 52(13), 2008--2013

Detailed reference viewed: 18 (0 UL)
Full Text
Peer Reviewed
See detailA Collaborative Vacuum Tool for Humans and Robots
Hernandez, Wilson; Hilarion, Alvaro; Martinez Luna, Carol UL

in Proceedings of the Latin American Congress on Automation and Robotics (2019)

Detailed reference viewed: 21 (0 UL)
Full Text
Peer Reviewed
See detailHigh-throughput biomass estimation in rice crops using UAV multispectral imagery
Devia, Carlos A.; Rojas, Juan P.; Petro, Eliel et al

in Journal of Intelligent and Robotic Systems (2019), 96(3-4), 573--589

Detailed reference viewed: 22 (2 UL)
Full Text
Peer Reviewed
See detailThe Power Line Inspection Software (PoLIS): A versatile system for automating power line inspection
Martinez Luna, Carol UL; Sampedro, Carlos; Chauhan, Aneesh et al

in Engineering applications of artificial intelligence (2018), 71

Detailed reference viewed: 22 (0 UL)