Daniel Andrade

38 papers A 4B 4C 3Misc 1Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the effectiveness of partially deterministic Bayesian neural networks. Comput. Stat. Daniel Andrade, Koki Sato
2025	J	`jnl`	SSAT: Sensor-Satellite Auto-Correlation Transformer for Enhanced Aerosol Optical Depth Prediction. IEEE Access Maoquan Zhang, Bisser Raytchev, Juan Cuesta, Farouk Lemmouchi, Maithili Karle, Daniel Andrade
2024	C	`conf`	Critical Factors for a Reliable AI in Tutoring Systems on Accuracy, Effectiveness, and Responsibility. FIE Davi M. Maia, Simone Cristiane dos Santos, Luis Gabriel Lima, Vinícius Luiz Franca, Alexsandro Henrique Lima, Daniel Andrade
2024	J	`jnl`	Stabilizing training of affine coupling layers for high-dimensional variational inference. Mach. Learn. Sci. Technol. Daniel Andrade
2024	J	`jnl`	Stable Training of Normalizing Flows for High-dimensional Variational Inference. CoRR Daniel Andrade
2023	J	`jnl`	Beamforming Based on a SSS Angle Estimation Algorithm for 5G NR Networks. Future Internet Daniel Andrade, Roberto Magueta, Adão Silva, Paulo Marques
2023	C	`conf`	I Can't Escape Myself: Cloud Inter-Processor Attestation and Sealing using Intel SGX. PRDC Daniel Andrade, João Nuno Silva, Miguel Correia
2023	A	`conf`	Robust Gaussian process regression with the trimmed marginal likelihood. UAI Daniel Andrade, Akiko Takeda
2023	B	`conf`	TrustGlass: Human-Computer Trusted Paths with Augmented Reality Smart Glasses. TrustCom Hélio Borges, Daniel Andrade, João Nuno Silva, Miguel Correia
2023	J	`jnl`	YOLOv7 for Mosquito Breeding Grounds Detection and Tracking. CoRR Camila Laranjeira, Daniel Andrade, Jefersson A. dos Santos
2022	Misc	`conf`	Anonymous Trusted Data Relocation for TEEs. SEC Vasco Guita, Daniel Andrade, João Nuno Silva, Miguel Correia
2022	J	`jnl`	Model for the Intent to Adopt Green IT in the Context of Organizations. IEEE Access Diego Cordero, Carlos Juiz, Andrea Mory, Vanessa Bermeo, Daniel Andrade
2022	J	`jnl`	SRX-Secure Data Backup and Recovery for SGX Applications. IEEE Access Daniel Andrade, João Silva, Miguel Correia
2021	J	`jnl`	Adaptive covariate acquisition for minimizing total cost of classification. Mach. Learn. Daniel Andrade, Yuzuru Okajima
2021	J	`jnl`	Convex covariate clustering for classification. Pattern Recognit. Lett. Daniel Andrade, Kenji Fukumizu, Yuzuru Okajima
2020	J	`jnl`	Adaptive Covariate Acquisition for Minimizing Total Cost of Classification. CoRR Daniel Andrade, Yuzuru Okajima
2020	C	`conf`	Intelligent Epidemiological Surveillance in the Brazilian Semiarid. HealthCom 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
2020	A	`conf`	POSTER: Detecting Suspicious Processes from Log-Data via a Bayesian Block Model. AsiaCCS Daniel Andrade, Yusuke Takahashi, Daichi Hasumi
2020	J	`jnl`	Robust Bayesian model selection for variable clustering with the Gaussian graphical model. Stat. Comput. Daniel Andrade, Akiko Takeda, Kenji Fukumizu
2019	J	`jnl`	Analysis of the Use of Background Distribution for Naive Bayes Classifiers. J. Intell. Syst. Daniel Andrade, Akihiro Tamura, Masaaki Tsuchida
2019	A	`conf`	Efficient Bayes Risk Estimation for Cost-Sensitive Classification. AISTATS Daniel Andrade, Yuzuru Okajima
2019	—	`conf`	LARIISA: an intelligent platform to help decision makers in the brazilian health public system. WebMedia Luis Odorico M. Andrade, Raimundo Valter, Ronaldo Ramos, Vânia Maria Ponte Vidal, Daniel Andrade, Mauro Oliveira
2018	J	`jnl`	Exploiting covariate embeddings for classification using Gaussian processes. Pattern Recognit. Lett. Daniel Andrade, Akihiro Tamura, Masaaki Tsuchida
2018	J	`jnl`	Leveraging knowledge bases for future prediction with memory comparison networks. AI Commun. Daniel Andrade, Bing Bai, Ramkumar Rajendran, Yotaro Watanabe
2016	—	`conf`	Analogy-Based Reasoning with Memory Networks for Future Prediction. CoCo@NIPS Daniel Andrade, Bing Bai, Ramkumar Rajendran, Yotaro Watanabe
2016	—	`conf`	BioALeg - Enabling Biometric Authentication in Legacy Web Sites. SRDS Workshop Sharareh Monfared, Daniel Andrade, Luís E. T. Rodrigues, João Nuno Silva
2016	—	`conf`	Thwarting Data Exfiltration by Repackaged Applications. SRDS Workshop Daniel Andrade, Thor Kristoffersen, Ivar Rummelhoff, Alex Gerdov, João Nuno Silva
2015	—	`conf`	Cross-lingual Text Classification Using Topic-Dependent Word Probabilities. HLT-NAACL Daniel Andrade, Kunihiko Sadamasa, Akihiro Tamura, Masaaki Tsuchida
2013	B	`conf`	Chinese Informal Word Normalization: an Experimental Study. IJCNLP Aobo Wang, Min-Yen Kan, Daniel Andrade, Takashi Onishi, Kai Ishikawa
2013	—	`conf`	Detecting Contradiction in Text by Using Lexical Mismatch and Structural Similarity. NTCIR Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa
2013	B	`conf`	Synonym Acquisition Using Bilingual Comparable Corpora. IJCNLP Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa
2013	—	`conf`	Translation Acquisition Using Synonym Sets. HLT-NAACL Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa
2012	J	`jnl`	Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks CoRR Daniel Andrade, Bernhard Sick
2012	J	`jnl`	Statistical Extraction and Comparison of Pivot Words for Bilingual Lexicon Extension. ACM Trans. Asian Lang. Inf. Process. Daniel Andrade, Takuya Matsuzaki, Jun'ichi Tsujii
2011	—	`conf`	Effective Use of Dependency Structure for Bilingual Lexicon Creation. CICLing (2) Daniel Andrade, Takuya Matsuzaki, Jun'ichi Tsujii
2011	—	`conf`	Learning the Optimal Use of Dependency-parsing Information for Finding Translations with Comparable Corpora. BUCC@ACL Daniel Andrade, Takuya Matsuzaki, Junichi Tsujii
2010	B	`conf`	Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs. COLING Daniel Andrade, Tetsuya Nasukawa, Jun'ichi Tsujii
2009	A	`conf`	Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks. UAI Daniel Andrade, Bernhard Sick

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.