Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks. - Daniel Andrade; Bernhard Sick (UAI, 2009)

Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs. - Daniel Andrade; Tetsuya Nasukawa; Jun'ichi Tsujii (COLING, 2010)

Learning the Optimal Use of Dependency-parsing Information for Finding Translations with Comparable Corpora. - Daniel Andrade; Takuya Matsuzaki; Junichi Tsujii (BUCC@ACL, 2011)

Effective Use of Dependency Structure for Bilingual Lexicon Creation. - Daniel Andrade; Takuya Matsuzaki; Jun'ichi Tsujii (CICLing (2), 2011)

Statistical Extraction and Comparison of Pivot Words for Bilingual Lexicon Extension. - Daniel Andrade; Takuya Matsuzaki; Jun'ichi Tsujii (ACM Trans. Asian Lang. Inf. Process., 2012)

Synonym Acquisition Using Bilingual Comparable Corpora. - Daniel Andrade; Masaaki Tsuchida; Takashi Onishi; Kai Ishikawa (IJCNLP, 2013)

Chinese Informal Word Normalization: an Experimental Study. - Aobo Wang; Min-Yen Kan; Daniel Andrade; Takashi Onishi; Kai Ishikawa (IJCNLP, 2013)

Translation Acquisition Using Synonym Sets. - Daniel Andrade; Masaaki Tsuchida; Takashi Onishi; Kai Ishikawa (HLT-NAACL, 2013)

Detecting Contradiction in Text by Using Lexical Mismatch and Structural Similarity. - Daniel Andrade; Masaaki Tsuchida; Takashi Onishi; Kai Ishikawa (NTCIR, 2013)

Cross-lingual Text Classification Using Topic-Dependent Word Probabilities. - Daniel Andrade; Kunihiko Sadamasa; Akihiro Tamura; Masaaki Tsuchida (HLT-NAACL, 2015)

Analogy-Based Reasoning with Memory Networks for Future Prediction. - Daniel Andrade; Bing Bai; Ramkumar Rajendran; Yotaro Watanabe (CoCo@NIPS, 2016)

Thwarting Data Exfiltration by Repackaged Applications. - Daniel Andrade; Thor Kristoffersen; Ivar Rummelhoff; Alex Gerdov; João Nuno Silva (SRDS Workshop, 2016)

BioALeg - Enabling Biometric Authentication in Legacy Web Sites. - Sharareh Monfared; Daniel Andrade; Luís E. T. Rodrigues; João Nuno Silva (SRDS Workshop, 2016)

Leveraging knowledge bases for future prediction with memory comparison networks. - Daniel Andrade; Bing Bai; Ramkumar Rajendran; Yotaro Watanabe (AI Commun., 2018)

Exploiting covariate embeddings for classification using Gaussian processes. - Daniel Andrade; Akihiro Tamura; Masaaki Tsuchida (Pattern Recognit. Lett., 2018)

Efficient Bayes Risk Estimation for Cost-Sensitive Classification. - Daniel Andrade; Yuzuru Okajima (AISTATS, 2019)

LARIISA: an intelligent platform to help decision makers in the brazilian health public system. - Luis Odorico M. Andrade; Raimundo Valter; Ronaldo Ramos; Vânia Maria Ponte Vidal; Daniel Andrade; Mauro Oliveira (WebMedia, 2019)

Analysis of the Use of Background Distribution for Naive Bayes Classifiers. - Daniel Andrade; Akihiro Tamura; Masaaki Tsuchida (J. Intell. Syst., 2019)

POSTER: Detecting Suspicious Processes from Log-Data via a Bayesian Block Model. - Daniel Andrade; Yusuke Takahashi; Daichi Hasumi (AsiaCCS, 2020)

Intelligent Epidemiological Surveillance in the Brazilian Semiarid. - Raimundo Valter; Mauro Oliveira; William Vitorino; José Neuman de Souza; 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 (HealthCom, 2020)

Robust Bayesian model selection for variable clustering with the Gaussian graphical model. - Daniel Andrade; Akiko Takeda; Kenji Fukumizu (Stat. Comput., 2020)

Adaptive covariate acquisition for minimizing total cost of classification. - Daniel Andrade; Yuzuru Okajima (Mach. Learn., 2021)

Convex covariate clustering for classification. - Daniel Andrade; Kenji Fukumizu; Yuzuru Okajima (Pattern Recognit. Lett., 2021)

Anonymous Trusted Data Relocation for TEEs. - Vasco Guita; Daniel Andrade; João Nuno Silva; Miguel Correia 001 (SEC, 2022)

SRX-Secure Data Backup and Recovery for SGX Applications. - Daniel Andrade; João Silva; Miguel Correia 001 (IEEE Access, 2022)

Model for the Intent to Adopt Green IT in the Context of Organizations. - Diego Cordero 001; Carlos Juiz; Andrea Mory; Vanessa Bermeo; Daniel Andrade (IEEE Access, 2022)

I Can't Escape Myself: Cloud Inter-Processor Attestation and Sealing using Intel SGX. - Daniel Andrade; João Nuno Silva; Miguel Correia 001 (PRDC, 2023)

TrustGlass: Human-Computer Trusted Paths with Augmented Reality Smart Glasses. - Hélio Borges; Daniel Andrade; João Nuno Silva; Miguel Correia 001 (TrustCom, 2023)

Robust Gaussian process regression with the trimmed marginal likelihood. - Daniel Andrade; Akiko Takeda (UAI, 2023)

YOLOv7 for Mosquito Breeding Grounds Detection and Tracking. - Camila Laranjeira; Daniel Andrade; Jefersson A. dos Santos (CoRR, 2023)

Beamforming Based on a SSS Angle Estimation Algorithm for 5G NR Networks. - Daniel Andrade; Roberto Magueta; Adão Silva; Paulo Marques 002 (Future Internet, 2023)

Critical Factors for a Reliable AI in Tutoring Systems on Accuracy, Effectiveness, and Responsibility. - Davi M. Maia; Simone Cristiane dos Santos; Luis Gabriel Lima; Vinícius Luiz Franca; Alexsandro Henrique Lima; Daniel Andrade (FIE, 2024)

Stable Training of Normalizing Flows for High-dimensional Variational Inference. - Daniel Andrade (CoRR, 2024)

SSAT: Sensor-Satellite Auto-Correlation Transformer for Enhanced Aerosol Optical Depth Prediction. - Maoquan Zhang; Bisser Raytchev; Juan Cuesta 001; Farouk Lemmouchi; Maithili Karle; Daniel Andrade (IEEE Access, 2025)

On the effectiveness of partially deterministic Bayesian neural networks. - Daniel Andrade; Koki Sato (Comput. Stat., 2025)