output
20172026
most citedMachine-Learning-Enhanced Soft Robotic System Inspired by Rectal Functions for Investigating Fecal incontinence

39 citations

20 papers

cs.LG2026★ 8 cited

Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models

Georgios Makridis, Georgios Fatouros, Athanasios Kiourtis +4

In this paper, we present a comprehensive framework for assessing the explainability of various XAI methods, such as LIME and SHAP, across multiple datasets and machine learning mo…

cs.SD2025★ 1 cited

Time delay embeddings to characterize the timbre of musical instruments using Topological Data Analysis: a study on synthetic and real data

Gakusei Sato, Hiroya Nakao, Riccardo Muolo

Timbre allows us to distinguish between sounds even when they share the same pitch and loudness, playing an important role in music, instrument recognition, and speech. Traditional…

cond-mat.mtrl-sci2025

Deep Learning-Based Extraction of Promising Material Groups and Common Features from High-Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Akira Takahashi, Yu Kumagai, Arata Takamatsu +1

We report an interpretation method for deep learning models that allows us to handle high-dimensional spectral data in materials science. The proposed method uses feature extractio…

cs.CV2025★ 1 cited

A Shape-Aware Total Body Photography System for In-focus Surface Coverage Optimization

Wei-Lun Huang, Joshua Liu, Davood Tashayyod +4

Total Body Photography (TBP) is becoming a useful screening tool for patients at high risk for skin cancer. While much progress has been made, existing TBP systems can be further i…

nlin.AO2025★ 8 cited

Theory of phase reduction from hypergraphs to simplicial complexes: a general route to higher-order Kuramoto models

Iván León, Riccardo Muolo, Shigefumi Hata +1

Phase reduction is a powerful technique in the study of nonlinear oscillatory systems. Under certain assumptions, it allows us to describe each multidimensional oscillator by a sin…

nlin.PS2024★ 7 cited

Pinning control of chimera states in systems with higher-order interactions

Riccardo Muolo, Lucia Valentina Gambuzza, Hiroya Nakao +1

Understanding and controlling the mechanisms behind synchronization phenomena is of paramount importance in nonlinear science. In particular, the emergence of chimera states, patte…

cs.RO2024★ 39 cited

Machine-Learning-Enhanced Soft Robotic System Inspired by Rectal Functions for Investigating Fecal incontinence

Zebing Mao, Sota Suzuki, Hiroyuki Nabae +3

Fecal incontinence, arising from a myriad of pathogenic mechanisms, has attracted considerable global attention. Despite its significance, the replication of the defecatory system…

nlin.AO2024★ 12 cited

A Central Pattern Generator Network for Simple Control of Gait Transitions in Hexapod Robots based on Phase Reduction

Norihisa Namura, Hiroya Nakao

We present a model of the central pattern generator (CPG) network that can control gait transitions in hexapod robots in a simple manner based on phase reduction. The CPG network c…

eess.SP2024★ 4 cited

Sparse Bayesian Correntropy Learning for Robust Muscle Activity Reconstruction from Noisy Brain Recordings

Yuanhao Li, Badong Chen, Natsue Yoshimura +2

Sparse Bayesian learning has promoted many effective frameworks for brain activity decoding, especially for the reconstruction of muscle activity. However, existing sparse Bayesian…

econ.GN2024★ 24 cited

The Costs of Competition in Distributing Scarce Research Funds

Gerald Schweiger, Adrian Barnett, Peter van den Besselaar +5

Research funding systems are not isolated systems - they are embedded in a larger scientific system with an enormous influence on the system. This paper aims to analyze the allocat…

nlin.AO2023★ 8 cited

Optimal coupling functions for fast and global synchronization of weakly coupled limit-cycle oscillators

Norihisa Namura, Hiroya Nakao

We propose a method for optimizing mutual coupling functions to achieve fast and global synchronization between a pair of weakly coupled limit-cycle oscillators. Our method is base…

cond-mat.str-el2023★ 2 cited

A Series Expansion Study for Large Negative Quantum Renormalization of Magnon Spectra in the Kagome-Lattice Heisenberg Antiferromagnet CsCuSnF

Singo Kogure, Masashi Takeda, Katsuhiro Morita +3

The series expansion method is used to study magnon spectra of the kagome system with nearest-neighbor exchange interaction and out-of-plane Dzyaloshinskii-Moriya (DM) interact…

quant-ph2023★ 3 cited

Logarithmic light cone, slow entanglement growth, and quantum memory

Yu Zeng, Alioscia Hamma, Yu-Ran Zhang +4

Effective light cones, characterized by Lieb-Robinson bounds, emerge in nonrelativistic local quantum systems. Here, we present several analytical results derived from logarithmic…

q-bio.NC2019

Exploration, inference and prediction in neuroscience and biomedicine

Danilo Bzdok, John Ioannidis

The last decades saw dramatic progress in brain research. These advances were often buttressed by probing single variables to make circumscribed discoveries, typically through null…

eess.SP2018★ 2 cited

Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to River State Estimation

Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda +4

This work proposes convolutional-sparse-coded dynamic mode decomposition (CSC-DMD) by unifying extended dynamic mode decomposition (EDMD) and convolutional sparse coding. EDMD is a…

q-bio.PE2018

Bottom-up versus top-down control and the transfer of information in complex model ecosystems

Katharina Brinck, Henrik Jeldtoft Jensen

Ecological systems are emergent features of ecological and adaptive dynamics of a community of interacting species. By natural selection through the abiotic environment and by co-a…

physics.optics2018★ 1 cited

Fiber-optic cascaded forward Brillouin scattering seeded by backward stimulated Brillouin scattering: conceptual proposal and experimental validation

Neisei Hayashi, Yosuke Mizuno, Kentaro Nakamura +2

We propose a method for generating cascaded forward Brillouin scattering (CFBS), based on a counter-propagated pump-probe technique, utilizing backward stimulated Brillouin scatter…

cs.SI2018

Urban contact structures for epidemic simulations: Correcting biases in data-driven approaches

Zhanwei Du, Chao Gao, Yuan Bai +2

Epidemics are emergent phenomena depending on the epidemiological characteristics of pathogens and the interaction and movement of people. Public transit systems have provided much…

physics.atm-clus2017★ 10 cited

Electron-proton transfer mechanism of excited-state hydrogen transfer in phenol--(NH3)n (n = 3 and 5)

Mitsuhiko Miyazaki, Ryuhei Ohara, Claude Dedonder +2

Excited state hydrogen transfer (ESHT) is responsible to various photochemical processes of aromatics including photoprotection of nuclear basis. Its mechanism is explained by the…

cond-mat.supr-con2017★ 13 cited

BaFe2(As1-xPx)2 (x = 0.22-0.42) thin films grown on practical metal-tape substrates and their critical current densities

Hidenori Hiramatsu, Hikaru Sato, Toshio Kamiya +1

We optimized the substrate temperature (Ts) and phosphorus concentration (x) of BaFe2(As1-xPx)2 films on practical metal-tape substrates for pulsed laser deposition from the viewpo…