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Daniel Andrade
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2020 – today
- 2024
- [i4]Daniel Andrade:
Stable Training of Normalizing Flows for High-dimensional Variational Inference. CoRR abs/2402.16408 (2024) - 2023
- [j10]Daniel Andrade, Roberto Magueta, Adão Silva, Paulo Marques:
Beamforming Based on a SSS Angle Estimation Algorithm for 5G NR Networks. Future Internet 15(3): 105 (2023) - [c20]Daniel Andrade, João Nuno Silva, Miguel Correia:
I Can't Escape Myself: Cloud Inter-Processor Attestation and Sealing using Intel SGX. PRDC 2023: 198-208 - [c19]Hélio Borges, Daniel Andrade, João Nuno Silva, Miguel Correia:
TrustGlass: Human-Computer Trusted Paths with Augmented Reality Smart Glasses. TrustCom 2023: 712-721 - [c18]Daniel Andrade, Akiko Takeda:
Robust Gaussian process regression with the trimmed marginal likelihood. UAI 2023: 67-76 - [i3]Camila Laranjeira, Daniel Andrade, Jefersson A. dos Santos:
YOLOv7 for Mosquito Breeding Grounds Detection and Tracking. CoRR abs/2310.10423 (2023) - 2022
- [j9]Daniel Andrade, João Silva, Miguel Correia:
SRX-Secure Data Backup and Recovery for SGX Applications. IEEE Access 10: 35901-35918 (2022) - [j8]Diego Cordero, Carlos Juiz, Andrea Mory, Vanessa Bermeo, Daniel Andrade:
Model for the Intent to Adopt Green IT in the Context of Organizations. IEEE Access 10: 65636-65657 (2022) - [c17]Vasco Guita, Daniel Andrade, João Nuno Silva, Miguel Correia:
Anonymous Trusted Data Relocation for TEEs. SEC 2022: 449-466 - 2021
- [j7]Daniel Andrade, Yuzuru Okajima:
Adaptive covariate acquisition for minimizing total cost of classification. Mach. Learn. 110(5): 1067-1104 (2021) - [j6]Daniel Andrade, Kenji Fukumizu, Yuzuru Okajima:
Convex covariate clustering for classification. Pattern Recognit. Lett. 151: 193-199 (2021) - 2020
- [j5]Daniel Andrade, Akiko Takeda, Kenji Fukumizu:
Robust Bayesian model selection for variable clustering with the Gaussian graphical model. Stat. Comput. 30(2): 351-376 (2020) - [c16]Daniel Andrade, Yusuke Takahashi, Daichi Hasumi:
POSTER: Detecting Suspicious Processes from Log-Data via a Bayesian Block Model. AsiaCCS 2020: 922-924 - [c15]Raimundo Valter, Mauro Oliveira, William Vitorino, José Neuman, Samuel Albuquerque, Luiz Odorico Monteiro Andrade, Ivana Cristina de Holanda Cunha Barreto, Flávio Cardoso, Francisco G. S. da Silva, Daniel Andrade, Luzia Lucélia Saraiva Ribeiro:
Intelligent Epidemiological Surveillance in the Brazilian Semiarid. HealthCom 2020: 1-6 - [i2]Daniel Andrade, Yuzuru Okajima:
Adaptive Covariate Acquisition for Minimizing Total Cost of Classification. CoRR abs/2002.09162 (2020)
2010 – 2019
- 2019
- [j4]Daniel Andrade, Akihiro Tamura, Masaaki Tsuchida:
Analysis of the Use of Background Distribution for Naive Bayes Classifiers. J. Intell. Syst. 28(2): 259-273 (2019) - [c14]Daniel Andrade, Yuzuru Okajima:
Efficient Bayes Risk Estimation for Cost-Sensitive Classification. AISTATS 2019: 3372-3381 - [c13]Luis Odorico M. Andrade, Raimundo Valter, Ronaldo Ramos, Vânia Maria Ponte Vidal, Daniel Andrade, Mauro Oliveira:
LARIISA: an intelligent platform to help decision makers in the brazilian health public system. WebMedia 2019: 501-504 - 2018
- [j3]Daniel Andrade, Bing Bai, Ramkumar Rajendran, Yotaro Watanabe:
Leveraging knowledge bases for future prediction with memory comparison networks. AI Commun. 31(6): 465-483 (2018) - [j2]Daniel Andrade, Akihiro Tamura, Masaaki Tsuchida:
Exploiting covariate embeddings for classification using Gaussian processes. Pattern Recognit. Lett. 104: 8-14 (2018) - 2016
- [c12]Daniel Andrade, Bing Bai, Ramkumar Rajendran, Yotaro Watanabe:
Analogy-Based Reasoning with Memory Networks for Future Prediction. CoCo@NIPS 2016 - [c11]Sharareh Monfared, Daniel Andrade, Luís E. T. Rodrigues, João Nuno Silva:
BioALeg - Enabling Biometric Authentication in Legacy Web Sites. SRDS Workshop 2016: 25-30 - [c10]Daniel Andrade, Thor Kristoffersen, Ivar Rummelhoff, Alex Gerdov, João Nuno Silva:
Thwarting Data Exfiltration by Repackaged Applications. SRDS Workshop 2016: 43-48 - 2015
- [c9]Daniel Andrade, Kunihiko Sadamasa, Akihiro Tamura, Masaaki Tsuchida:
Cross-lingual Text Classification Using Topic-Dependent Word Probabilities. HLT-NAACL 2015: 1466-1471 - 2013
- [c8]Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa:
Synonym Acquisition Using Bilingual Comparable Corpora. IJCNLP 2013: 1077-1081 - [c7]Aobo Wang, Min-Yen Kan, Daniel Andrade, Takashi Onishi, Kai Ishikawa:
Chinese Informal Word Normalization: an Experimental Study. IJCNLP 2013 - [c6]Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa:
Translation Acquisition Using Synonym Sets. HLT-NAACL 2013: 655-660 - [c5]Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa:
Detecting Contradiction in Text by Using Lexical Mismatch and Structural Similarity. NTCIR 2013 - 2012
- [j1]Daniel Andrade, Takuya Matsuzaki, Jun'ichi Tsujii:
Statistical Extraction and Comparison of Pivot Words for Bilingual Lexicon Extension. ACM Trans. Asian Lang. Inf. Process. 11(2): 6:1-6:31 (2012) - [i1]Daniel Andrade, Bernhard Sick:
Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks. CoRR abs/1205.2665 (2012) - 2011
- [c4]Daniel Andrade, Takuya Matsuzaki, Junichi Tsujii:
Learning the Optimal Use of Dependency-parsing Information for Finding Translations with Comparable Corpora. BUCC@ACL 2011: 10-18 - [c3]Daniel Andrade, Takuya Matsuzaki, Jun'ichi Tsujii:
Effective Use of Dependency Structure for Bilingual Lexicon Creation. CICLing (2) 2011: 80-92 - 2010
- [c2]Daniel Andrade, Tetsuya Nasukawa, Jun'ichi Tsujii:
Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs. COLING 2010: 19-27
2000 – 2009
- 2009
- [c1]Daniel Andrade, Bernhard Sick:
Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks. UAI 2009: 10-18
Coauthor Index
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last updated on 2024-08-05 20:17 CEST by the dblp team
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