Demo Data from SIGIR 2026 / reviewers in the wild / expert
Makoto Sasaki
dblp:33/2811
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Computer networks · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Accessibility and assistive technology · 61% Human-robot interaction · 39% | |
| Computer networks
1 paper |
Content delivery and video streaming · 77% Cellular and mobile networks · 23% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 50% Planning, search and constraint satisfaction · 50% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology
assistive technology |
0.1 | 1 | 2006 | Neuro-fuzzy based Motion Control of a Robotic Exoskeleton: Considering End-effector Force Vectors · ICRA 2006 |
Human-robot interaction › wearable robot
exoskeleton |
0.1 | 1 | 2006 | Neuro-fuzzy based Motion Control of a Robotic Exoskeleton: Considering End-effector Force Vectors · ICRA 2006 |
Accessibility and assistive technology › assistive technology
upper-limb motion assist |
0.1 | 1 | 2006 | Neuro-fuzzy based Motion Control of a Robotic Exoskeleton: Considering End-effector Force Vectors · ICRA 2006 |
Content delivery and video streaming
digital broadcasting |
0.1 | 1 | 2006 | Outline of ISDB Systems · Proc. IEEE 2006 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
neuro-fuzzy control |
0.0 | 1 | 2006 | Neuro-fuzzy based Motion Control of a Robotic Exoskeleton: Considering End-effector Force Vectors · ICRA 2006 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2006 | Neuro-fuzzy based Motion Control of a Robotic Exoskeleton: Considering End-effector Force Vectors · ICRA 2006 |
Human-robot interaction › human-in-the-loop control
electromyography-based control |
0.0 | 1 | 2006 | Neuro-fuzzy based Motion Control of a Robotic Exoskeleton: Considering End-effector Force Vectors · ICRA 2006 |
Methods — techniques the papers use, named apart from their topics
neuro-fuzzy control · 0.1electromyography · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Bayesian Hemodynamic Parameter Estimation by Bolus Tracking Perfusion Weighted ImagingabstractA delay-insensitive probabilistic method for estimating hemodynamic parameters, delays, theoretical residue functions, and concentration time curves by computed tomography (CT) and magnetic resonance (MR) perfusion weighted imaging is presented. Only a mild stationarity hypothesis is made beyond the standard perfusion model. New microvascular parameters with simple hemodynamic interpretation are naturally introduced. Simulations on standard digital phantoms show that the method outperforms the oscillating singular value decomposition (oSVD) method in terms of goodness-of-fit, linearity, statistical and systematic errors on all parameters, especially at low signal-to-noise ratios (SNRs). Delay is always estimated sharply with user-supplied resolution and is purely arterial, by contrast to oSVD time-to-maximum TMAX that is very noisy and biased by mean transit time (MTT), blood volume, and SNR. Residue functions and signals estimates do not suffer overfitting anymore. One CT acute stroke case confirms simulation results and highlights the ability of the method to reliably estimate MTT when SNR is low. Delays look promising for delineating the arterial occlusion territory and collateral circulation. Timothé Boutelier, Kohsuke Kudo, Fabrice Pautot, Makoto Sasaki |
IEEE Trans. Medical Imaging | 4 |
| 2006 | Neuro-fuzzy based Motion Control of a Robotic Exoskeleton: Considering End-effector Force VectorsabstractTo assist physically disabled, injured, and/or elderly persons, we have been developing a 3DOF exoskeleton robot for assisting upper-limb motion, since upper-limb motion is involved in a lot of activities of everyday life. The exoskeleton robot is mainly is controlled by the skin surface electromyogram (EMG) signals, since EMG signals of muscles directly reflect how the user intends to move. This paper introduces the mechanism of the exoskeleton robot and also proposes a control method of the exoskeleton robot considering the generated end-effector force vectors Kazuo Kiguchi, Makoto Sasaki |
ICRA | 3 |
| 2006 | Outline of ISDB SystemsabstractIntegrated Service Digital Broadcasting (ISDB) is the name of the set of digital broadcasting standards in Japan covering terrestrial, satellite,and cable transmission with common format for multiplexing which enable transmission of high definition television as well as data broadcasting. This paper shows the outline of the standards and the updated service features in Japan. Hiroshi Asami, Makoto Sasaki |
Proc. IEEE | 2 |
| 2000 | A study of a loop interference canceller for the relay stations in an SFN for digital terrestrial broadcastingabstractIn each relay station in an SFN (single frequency network) for DTB (digital terrestrial broadcasting), the loop interference is caused by the coupling from the transmitting antenna to receiving antenna. The interference must be reduced to an allowable level in order to avoid problems with distortion and oscillation. We propose a frequency-domain adaptive cancellation algorithm using reference signals carried in the OFDM signal. The principle of the proposed algorithm is outlined and the usefulness of the algorithm is verified by the results of computer simulations. Hiroyuki Hamazumi, Koichiro Imamura, Naohiko Iai, Kazuhiko Shibuya, Makoto Sasaki |
GLOBECOM | 5 |