Human advisors typically explain their reasoning, which is absent when advice is given by and* algorithm in the form of a mere number. We hypothesized that decision maker perceptions (e.g., trust), use ofd* algorithmic ad...
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Human advisors typically explain their reasoning, which is absent when advice is given by and* algorithm in the form of a mere number. We hypothesized that decision maker perceptions (e.g., trust), use ofd* algorithmic advice, and hence judgment consistency and accuracy would improve if and* algorithm 'explains itself'. We recruited 1,202 English-speaking adults via Prolific who predicted the performance of a draw of 40 job candidates based on their assessment information and* algorithmic advice. We used a 2 (narrative advice: yes/no) x 2 (narratived* algorithm information: yes/no) x 2 (algorithmic advice as default: yes/no) between-subjects design. The first factor varied whether participants received mere numericd* algorithmic advice or numeric advice plus a short case-by-case narrative explanation based on the specific candidate information. The second factor varied whether, before the task, thed* algorithm's design and predictor weight choice were introduced in a narrative manner by a human character, using first-person language or in a descriptive manner. The third factor varied whether participants' predictions defaulted to thed* algorithmic advice or an irrelevant value. Most effects were detectable but small in magnitude. The results showed that participants used narrative advice somewhat more than mere numeric advice, but only when their prediction did not default to the advice. Furthermore, participants had more trust, stronger feelings of human interaction, higher judgment consistency, and higher intentions to use thed* algorithm for future decisions when they received case-by-case narrative advice. People seem to feel more comfortable withd* algorithmic advice when receiving an explanation for each decision.
In recent years, Australia has embarked on a digital transformation of its social services, with the primary goal of creating user-centric services that are more attentive to the needs of citizens. This article examin...
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In recent years, Australia has embarked on a digital transformation of its social services, with the primary goal of creating user-centric services that are more attentive to the needs of citizens. This article examines operational and technological changes within Australia's National disability Insurance Scheme (NdIS) as a result of this comprehensive government digital transformation strategy. It discusses the effectiveness of these changes in enhancing outcomes for users of the scheme. Specifically, the focus is on the National disability Insurance Agency's (NdIA) use ofd* algorithmic decision support systems to aid in the development of personalised support plans. This administrative process, we show, incorporates several automated elements that raise concerns about substantive fairness, accountability, transparency and participation in decision making. The conclusion drawn is thatd* algorithmic systems exercise various forms of state power, but in this case, their subterranean administrative character positions them as "algorithmic grey holes"-spaces effectively beyond recourse to legal remedies and more suited to redress by holistic and systemic accountability reforms advocated byd* algorithmic justice scholarship.
Interfaces in energy materials anddevices often involve beam-sensitive materials such as fast ionic, soft, or liquid phases. 4d scanning transmission electron microscopy (4d-STEM) offers insights into local lattice, ...
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Interfaces in energy materials anddevices often involve beam-sensitive materials such as fast ionic, soft, or liquid phases. 4d scanning transmission electron microscopy (4d-STEM) offers insights into local lattice, strain charge, and fielddistributions, but faces challenges in analyzing beam-sensitive interfaces at high spatial resolutions. Here, a 4d-STEM compressive sensingd* algorithm is introduced that significantly reduces data acquisition time and electron dose. This method autonomously allocates probe positions on interfaces and reconstructs missing information from datasets acquired via dynamic sampling. Thisd* algorithm allows for the integration of various scanning schemes and electron probe conditions to optimize data integrity. Its data reconstruction employs a neural network and an autoencoder to correlate diffraction pattern features with measured properties, significantly reducing training costs. The accuracy of the reconstructed 4d-STEM datasets is verified using a combination of explicitly and implicitly trained parameters from atomic resolution datasets. This method is broadly applicable for 4d-STEM imaging of any local features of interest and will be available on GitHub upon publication.
In squamous cell carcinoma (SCC) of the esophagus, d2-40 immunostaining has recently been used to detect lymphatic invasion, but invasion detected using d2-40 immunostaining for a predictor of nodal metastasis was con...
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In squamous cell carcinoma (SCC) of the esophagus, d2-40 immunostaining has recently been used to detect lymphatic invasion, but invasion detected using d2-40 immunostaining for a predictor of nodal metastasis was controversial. Therefore, the usefulness of detecting lymphatic invasion by d2-40 immunostaining as a predictor of nodal metastasis was examined in superficial (mucosal and submucosal) SCC of the esophagus. A total of 115 superficial SCC of the esophagus were examined on immunohistochemistry using d2-40. It was found that lymphatic invasion demonstrated on d2-40 immunostaining was mainly detected in the lamina propria mucosa. Lymphatic invasion was found in 37 cases and the invasion detected in the entire tumor tissue was statistically correlated with nodal metastasis. Based on the lymphatic invasion according to d2-40 immunostaining, and* algorithm was devised for the risk (low, intermediate and high) of nodal metastases in superficial SCC in the esophagus. In conclusion, the detection of lymphatic invasion on d2-40 immunostaining in tumor tissue is a strong predictor for nodal metastasis in superficial SCC of the esophagus. Lymphatic invasion was found mainly in the lamia propria mucosa, thus the devised* algorithm is useful for determining the optimal treatment strategy after endoscopic mucosal resection for esophageal SCC.
Assessing and monitoring the state of the earth surface is a key requirement for global change research. In this paper, we propose a new consensus fuzzy clusteringd* algorithm that is based on the Minkowski distance. Th...
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Assessing and monitoring the state of the earth surface is a key requirement for global change research. In this paper, we propose a new consensus fuzzy clusteringd* algorithm that is based on the Minkowski distance. This research concentrates on Tehran's vegetation mass and its changes during 29 years using remote sensing technology. The main purpose of this research is to evaluate the changes in vegetation mass using a new process by combination of intelligent NdVI fuzzy clustering and Minkowski distance operation. The dataset includes the images of Landsat8 and Landsat TM, from 1989 to 2016. For each year three images of three continuous days were used to identify vegetation impact and recovery. The result was a 3d NdVI image, with one dimension for each day NdVI. The next step was the classification procedure which is a complicated process of categorizing pixels into a finite number of separate classes, based on their data values. If a pixel satisfies a certain set of standards, the pixel is allocated to the class that corresponds to those criteria. This method is less sensitive to noise and can integrate solutions from multiple samples of data or attributes for processing data in the processing industry. The result was a fuzzy one dimensional image. This image was also computed for the next 28 years. The classification was done in both specified urban and natural park areas of Tehran. Experiments showed that our method worked better in classifying image pixels in comparison with the standard classification methods.
3d reconstruction plays an essential role in the documentation and protection of ancient architecture. 3d reconstruction and photogrammetry are mainly used to conserve the datum and restore the 3d model of large-scale...
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ISBN:
(纸本)0819460966
3d reconstruction plays an essential role in the documentation and protection of ancient architecture. 3d reconstruction and photogrammetry are mainly used to conserve the datum and restore the 3d model of large-scale ancient architecture in our work. The whole procedure and and* algorithm on space polyhedron are investigated in this paper. Firstly lots of conspicuous feature points are laid around the huge granite in order to construct a local and temporary 3d controlling field with sufficiently high precision. And feature points on the granite are obtained by means of photogrammetry. We use dLT (direct Linear Transform) to calculate coordinates of feature points and accuracy evaluation of all feature points can be obtained simultaneously. A new generationd* algorithm for spatial convex polyhedron is presented and realized efficiently in our research. And we can get 3d model of the granite. In order to reduce duplicate storage of points and edges of the model, model connection and optimization are performed to complete the modeling process. Realistic material can be attached to the 3d model in 3dMAX. At last rendering and animation of the 3d model are completed and we got the reconstructive model of the granite. We use the approach mentioned above to realize the 3d reconstruction of large-scale ancient architecture successfully.
Extraction of 3d object is often an important pre-processing step in recognizing object. Analysis over previous related works of multiple researchers necessitates the use of either feature selectiond* algorithm or extra...
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ISBN:
(纸本)9781424441549
Extraction of 3d object is often an important pre-processing step in recognizing object. Analysis over previous related works of multiple researchers necessitates the use of either feature selectiond* algorithm or extractiond* algorithm prior to classification.d* algorithm becomes an important part of future application programs for checking design rules and generating manufacturing advice and plans. In this paper, the authors present the methodology used in developing thed* algorithm proposed. The process is focusing in designing, analysis and extraction over dXF file format. Presents also thed* algorithmdevelops in extracting and recognizing the object. The process of recognition object may involve extraction on code of the design. This extraction process will reject and select some of the code which is suspected notoriously redundant. Only relevant information from the code of the design will be extract. Although thed* algorithm successfully works, further work still needs to be done to make it more functional.
A problem of long standing in vision research is the recovery of three-dimensional (3d) structure from two-dimensional (2d) images. Work on structure from motion has focused on the recovery of 3d structure from multip...
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ISBN:
(纸本)0819448168
A problem of long standing in vision research is the recovery of three-dimensional (3d) structure from two-dimensional (2d) images. Work on structure from motion has focused on the recovery of 3d structure from multiple views of feature points like the vertices of a cube. Recent work on the perception of four-dimensional (4d) structures has prompted us to determine the circumstances under which 4d structure can be recovered from multiple views of feature points projected onto 2d images. We present a computationald* algorithm to solve this problem under three assumptions: 1. the correspondence of each feature point over different views is pre-determined;2. the 4d object undergoes a rigid motion, and 3. the projection from 4d space to 2d images is a orthographic (parallel) one. Four views of five points are required. Thed* algorithm can be generalized to treat the recovery of nd structure from md views (1less than or equal tomless than or equal ton). We give some results concerning the minimum number of points and views that are required to recover nd structure from md views by thisd* algorithm.
Objective and method: We have evaluated the sensitivity of a diagnosticd* algorithm for all patients suspected of pulmonary embolism using: d-dimer, lower limb venous ultrasonography and helical computed tomography. To ...
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Cette thèse se concentre sur l'idée d'exploiter le domaine spatial (contrairement à l'exploitation de la ressource temps-fréquence) des environnements sans fil à partir de deux fro...
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Cette thèse se concentre sur l'idée d'exploiter le domaine spatial (contrairement à l'exploitation de la ressource temps-fréquence) des environnements sans fil à partir de deux fronts: a) Antennes ESPAR (pour Electronically Steerable Parasitic Array Radiator) comme alternative peu coûteuse au multi- conventionnel architectures d'antennes (peu coûteuses par rapport au nombre de frontaux radiofréquences que ces architectures conventionnelles sont souvent supposées fournies), et b) l'étude de réseaux d'antennes chargés de manière réactive pour fournir une diffusion contrôlable comme moyen d'ajouter des degrés de liberté à l'environnement de propagation lui-même. Ce dernier est atteint ici via des diffuseurs contrôlables numériquement (dCS). En particulier, la thèse se concentre sur l'objectif de mieux conditionner les problèmes d'optimisation comme moyen de proposer desd* algorithmes de faible complexité. Par conséquent, un aspect clé est l'équilibre requis entre la précision et la complexité des modèles électromagnétiques adoptés. Ainsi, il convient de souligner l'importance accordée à l'interface entre l'électromagnétisme et la caractérisation du signal. Plus précisément, ESPAR et dCS nécessitent la compréhension des phénomènes électromagnétiques (EM) qui ne sont pas entièrement pris en compte dans les descriptions conventionnelles au niveau des liaisons. Plus important encore, ce dernier est la preuve de la nécessité de rejoindre les approches de deux communautés de recherche apparentées pour faire face à la rareté des ressources qui ne devrait qu'augmenter dans les décennies à venir. En fait, le document est principalement positionné du point de vue d'une personne ayant une formation en télécommunications (contrairement à l'électromagnétisme pur) et qui cherche à éclairer les mécanismes EM sous-jacents. Il se compose approximativement de trois parties, à savoir: les principes fondamentaux, l'antenne ESPAR et les diffuseurs contrôlables numériquement. En fait, le but
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