Results 51 to 60 of about 29,969,840 (342)

Data Quality and Explainable AI

ACM Journal of Data and Information Quality, 2020
In this work, we provide some insights and develop some ideas, with few technical details, about the role of explanations in Data Quality in the context of data-based machine learning models (ML).
L. Bertossi, Floris Geerts
semanticscholar   +1 more source

ATLAS data quality operations and performance for 2015-2018 data-taking [PDF]

, 2019
The ATLAS detector at the Large Hadron Collider reads out particle collision data from over 100 million electronic channels at a rate of approximately $100$ kHz, with a recording rate for physics events of approximately 1 kHz.
G. Aad, B. Abbott, D. Abbott, A. A. Abud, K. Abeling, D. K. Abhayasinghe, S. H. Abidi, O. AbouZeid, N. Abraham, H. Abramowicz, H. Abreu, Y. Abulaiti, B. Acharya, B. Achkar, S. Adachi, L. Adam, C. Bourdarios, L. Adamczyk, L. Adamek, J. Adelman, M. Adersberger, A. Adiguzel, S. Adorni, T. Adye, T. Affolder, Y. Afik, C. Agapopoulou, M. N. Agaras, A. Aggarwal, C. Agheorghiesei, J. Saavedra, F. Ahmadov, W. S. Ahmed, X. Ai, G. Aielli, S. Akatsuka, T. Åkesson, E. Akilli, A. Akimov, K. Khoury, G. Alberghi, J. Albert, M. A. Verzini, S. Alderweireldt, M. Aleksa, I. Aleksandrov, C. Alexa, T. Alexopoulos, A. Alfonsi, F. Alfonsi, M. Alhroob, B. Ali, M. Aliev, G. Alimonti, S. P. Alkire, C. Allaire, B. Allbrooke, B. W. Allen, P. Allport, A. Aloisio, F. Alonso, C. Alpigiani, A. Alshehri, M. A. Estevez, M. Alviggi, Y. A. Coutinho, A. Ambler, L. Ambroz, C. Amelung, D. Amidei, S. D. Santos, S. Amoroso, C. Amrouche, F. An, C. Anastopoulos, N. Andari, T. Andeen, C. Anders, J. Anders, A. Andreazza, G. Andrei, C. Anelli, S. Angelidakis, A. Angerami, A. Anisenkov, A. Annovi, C. Antel, M. Anthony, E. Antipov, M. Antonelli, D. Antrim, F. Anulli, M. Aoki, J. A. Pozo, L. A. Bella, Juan Pedro Araque Espinosa, V. A. Ferraz, R. A. Pereira, C. Arcangeletti, A. Arce, F. A. Arduh, J. Arguin, S. Argyropoulos, J. Arling, A. Armbruster, A. Armstrong, O. Arnaez, H. Arnold, Z. P. A. Tame, G. Artoni, S. Artz, S. Asai, T. Asawatavonvanich, N. Asbah, E. Asimakopoulou, L. Asquith, J. Assahsah, K. Assamagan, R. Astalos, R. Atkin, M. Atkinson, N. B. Atlay, H. Atmani, K. Augsten, G. Avolio, R. Avramidou, M. K. Ayoub, A. Azoulay, G. Azuelos, H. Bachacou, K. Bachas, M. Backes, F. Backman, P. Bagnaia, M. Bahmani, S. Bahrasemani, A. Bailey, V. R. Bailey, J. Baines, M. Bajic, C. Bakalis, K. Baker, P. Bakker, D. B. Gupta, S. Balaji, E. Baldin, P. Balek, F. Balli, W. Balunas, J. Balz, E. Banas, A. Bandyopadhyay, S. Banerjee, A. Bannoura, L. Barak, W. Barbe, E. Barberio, D. Barberis, M. Barbero, G. Barbour, T. Barillari, M. Barisits, J. Barkeloo, T. Barklow, R. Barnea, S. Barnes, B. Barnett, M. Barnett, Zuzana Blenessy, A. Baroncelli, G. Barone, A. Barr, L. B. Navarro, F. Barreiro, J. G. D. Costa, S. Barsov, R. Bartoldus, G. Bartolini, A. Barton, P. Bartos, A. Basalaev, A. Basan, A. Bassalat, M. Basso, R. Bates, S. Batlamous, R. Batley, B. Batool, M. Battaglia, M. Bauce, F. Bauer, K. Bauer, H. Bawa, J. Beacham, T. Beau, P. Beauchemin, F. Becherer, P. Bechtle, H. Beck, H. Beck, A. Becker, C. Becot, A. Beddall, A. Beddall, V. Bednyakov, M. Bedognetti, C. Bee, T. Beermann, M. Begalli, M. Begel, A. Behera, K. Behr, F. Beisiegel, A. Bell, G. Bella, L. Bellagamba, A. Bellerive, P. Bellos, K. Beloborodov, K. Belotskiy, N. Belyaev, D. Benchekroun, N. Benekos, Y. Benhammou, D. Benjamin, M. Benoit, J. Bensinger, S. Bentvelsen, L. Beresford, M. Beretta, D. Berge, E. B. Kuutmann, N. Berger, B. Bergmann, L. Bergsten, J. Beringer, S. Berlendis, G. Bernardi, C. Bernius, T. Berry, P. Berta, C. Bertella, I. Bertram, O. B. Bylund, N. Besson, A. Bethani, S. Bethke, A. Betti, A. Bevan, J. Beyer, D. Bhattacharya, P. Bhattarai, R. Bi, R. Bianchi, O. Biebel, D. Biedermann, R. Bielski, K. Bierwagen, N. Biesuz, M. Biglietti, T. Billoud, M. Bindi, A. Bingul, C. Bini, S. Biondi, M. Birman, T. Bisanz, J. Biswal, D. Biswas, A. Bitadze, C. Bittrich, Kristian Bjoerke, K. Black, T. Blažek, I. Bloch, C. Blocker, A. Blue, U. Blumenschein, G. Bobbink, V. Bobrovnikov, S. Bocchetta, A. Bocci, D. Boerner, D. Bogavac, A. Bogdanchikov, C. Bohm, V. Boisvert, P. Bokan, T. Bold, A. Boldyrev, A. Bolz, M. Bomben, M. Bona, J. Bonilla, M. Boonekamp, C. Booth, H. Borecka-Bielska, A. Borisov, G. Borissov, J. Bortfeldt, Daniela Bortoletto, D. Boscherini, M. Bosman, J. D. B. Sola, K. Bouaouda, J. Boudreau, E. Bouhova-Thacker, D. Boumediene, S. Boutle, A. Boveia, J. Boyd, D. Boye, I. Boyko, Adam James Bozson, J. Bracinik, N. Brahimi, G. Brandt, O. Brandt, F. Braren, B. Brau, J. Brau, W. Madden, K. Brendlinger, L. Brenner, R. Brenner, S. Bressler, B. Brickwedde, D. Briglin, D. Britton, D. Britzger, I. Brock, R. Brock, G. Brooijmans, W. Brooks, E. Brost, J. Broughton, P. Renstrom, D. Bruncko, A. Bruni, G. Bruni, L. S. Bruni, S. Bruno, M. Bruschi, N. Bruscino, P. Bryant, L. Bryngemark, T. Buanes, Q. Buat, P. Buchholz, A. Buckley, I. Budagov, M. K. Bugge, F. Buehrer, O. Bulekov, T. Burch, S. Burdin, C. Burgard, A. Burger, B. Burghgrave, J. Burr, C. Burton, J. Burzynski, V. Buescher, E. Buschmann, P. Bussey, J. Butler, C. Buttar, J. Butterworth, P. Butti, W. Buttinger, C. J. B. Vazquez, A. Buzatu, A. Buzykaev, G. Cabras, S. Urbán, D. Caforio, H. Cai, V. Cairo, O. Cakir, N. Calace, P. Calafiura, A. Calandri, G. Calderini, P. Calfayan, G. Callea, L. Calôba, A. Caltabiano, S. Lopez, D. Calvet, S. Calvet, T. Calvet, M. Calvetti, R. C. Toro, S. Camarda, D. C. Munoz, P. Camarri, D. Cameron, R. C. Armadans, C. Camincher, S. Campana, M. Campanelli, A. Camplani, A. Campoverde, V. Canale, A. Canesse, M. C. Bret, J. Cantero, T. Cao, Yumeng Cao, M. C. Garrido, M. Capua, R. Cardarelli, F. Cardillo, G. Carducci, I. Carli, T. Carli, G. Carlino, B. Carlson, L. Carminati, R. Carney, S. Caron, E. Carquin, S. Carrá, J. Carter, M. P. Casado, A. Casha, D. Casper, R. Castelijn, F. Castillo, L. C. Garcia, V. C. Gimenez, N. Castro, A. Catinaccio, J. Catmore, A. Cattai, V. Cavaliere, E. Cavallaro, M. Cavalli-Sforza, V. Cavasinni, E. Celebi, L. Alberich, K. Cerny, A. Cerqueira, A. Cerri, L. Cerrito, F. Cerutti, A. Cervelli, S. Cetin, Z. Chadi, D. Chakraborty, W. Chan, W. Y. Chan, J. Chapman, B. Chargeishvili, D. Charlton, T. Charman, C. Chau, S. Che, S. Chekanov, S. Chekulaev, G. Chelkov, M. Chelstowska, Boping Chen, Cheng Chen, Chunhui Chen, He-Sheng Chen, J. Chen, Jue Chen, Jiayi Chen, Shion Chen, Shenjian Chen, Xin Chen, Yu-Heng Chen, H. Cheng, Huajie Cheng, A. Cheplakov, E. Cheremushkina, R. C. Moursli, E. Cheu, K. Cheung, T. Chevalerias, L. Chevalier, V. Chiarella, G. Chiarelli, G. Chiodini, A. Chisholm, A. Chitan, I. Chiu, Y. Chiu, M. Chizhov, Kyungeon Choi, A. Chomont, S. Chouridou, Y. S. Chow, M. Chu, X. Chu, J. Chudoba, A. Chuinard, J. Chwastowski, L. Chytka   +499 more
semanticscholar   +1 more source

Understanding movement data quality [PDF]

Journal of Location Based Services, 2016
© 2016 Informa UK Limited, trading as Taylor & Francis Group. Understanding of data quality is essential for choosing suitable analysis methods and interpreting their results. Investigation of quality of movement data, due to their spatio-temporal nature, requires consideration from multiple perspectives at different scales.
Andrienko, Gennady, Andrienko, Natalia, Fuchs, Georg   +2 more
openaire   +3 more sources

Evaluation of Nutrient Content and Antioxidant Activity of Wood Ear Mushroom (Auricularia auricula-Judae) in the Addition of Reeds (Imperata cylindrica (L.) Beauv) as a Cultivation Medium

Hayati Journal of Biosciences, 2022
The nutritional content of mushrooms depends on the type of substrate in the growing medium. Lignocellulose is one of the substrates used for fungal growth media.
Sotya Rawiningtyas, Adi Setyo Purnomo, Sri Fatmawati   +2 more
doaj   +1 more source

Committing to Data Quality Review [PDF]

International Journal of Digital Curation, 2014
Amid the pressure and enthusiasm for researchers to share data, a rapidly growing number of tools and services have emerged. What do we know about the quality of these data? Why does quality matter? And who should be responsible for data quality? We believe an essential measure of data quality is the ability to engage in informed reuse, which requires
Limor Peer, Ann G. Green, Elizabeth Stephenson   +2 more
openaire   +8 more sources

Data Quality Management in the Internet of Things

Sensors, 2021
Nowadays, IoT is being used in more and more application areas and the importance of IoT data quality is widely recognized by practitioners and researchers. The requirements for data and its quality vary from application to application or organization in
Lina Zhang, Dongwon Jeong, Sukhoon Lee
doaj   +1 more source

The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada

Population Ecology, EarlyView.
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley   +1 more source

Network topology drives population temporal variability in experimental habitat networks

Population Ecology, EarlyView.
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu, J. Angus Webb, William D. Bovill, Elise L. King   +3 more
wiley   +1 more source

Geographic variation in walking activity in the red flour beetle Tribolium castaneum

Population Ecology, EarlyView.
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley   +1 more source

Poor Data Quality [PDF]

Deutsches Ärzteblatt international, 2015
Congratulations to the authors for their presentation of patient characteristics and related healthcare data (1). Unfortunately, their article is flawed by a few errors which can result in wrong conclusions being drawn (2). This applies in particular to Figure 3 where the completeness of the initial diagnostic evaluation is depicted.
openaire   +3 more sources