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D. - T. Dang-Nguyen, Piras, L., Giacinto, G., Boato, G., and De Natale, F. G. B., Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 13, no. 4, 2017. (5.94 MB)
D. - T. Dang-Nguyen, Piras, L., Giacinto, G., Boato, G., and De Natale, F. G. B., A Hybrid Approach for Retrieving Diverse Social Images of Landmarks, in IEEE International Conference on Multimedia & Expo (ICME), Torino, 2015. (1.16 MB)
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Zhou, L., Lux, M., and Gurrin, C., Overview of ImageCLEFlifelog 2018: Daily Living Understanding and Lifelog Moment Retrieval, in Working Notes of {CLEF} 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018., 2018. (2.01 MB)
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Gurrin, C., Boato, G., and Halvorsen, P., ImageCLEF 2017 LifeLog task, in Challenges in Machine Learning: Gaming and Education (CiML - NIPS 2016 workshop), Barcelona, Spain, 2016. (80.25 KB)
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Boato, G., Zhou, L., and Gurrin, C., Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization, in CLEF2017 Working Notes, Dublin, Ireland, 2017, vol. 1866. (1.7 MB)
D. - T. Dang-Nguyen, Piras, L., Giacinto, G., Boato, G., and De Natale, F. G. B., Retrieval of Diverse Images by Pre-filtering and Hierarchical Clustering, in MediaEval (Online Working Notes), Barcelona; Spain, 2014, vol. 1263. (221.52 KB)
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Zhou, L., Lux, M., Tran, M. - T., Le, T. - K., Ninh, V. - T., and Gurrin, C., Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval, in Working Notes of {CLEF} 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019., 2019. (4.58 MB)
D. - T. Dang-Nguyen, Boato, G., De Natale, F. G. B., Piras, L., Giacinto, G., Tuveri, F., and Angioni, M., Multimodal-based Diversified Summarization in Social Image Retrieval, in Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015., 2015. (755.79 KB)
S. Kumar Dash, Suarez-Tangil, G., Khan, S., Tam, K., Ahmadi, M., Kinder, J., and Cavallaro, L., DroidScribe: Classifying Android Malware Based on Runtime Behavior, in Mobile Security Technologies (MoST 2016), 2016. (571.22 KB)
R. Delussu, Putzu, L., and Fumera, G., An Empirical Evaluation of Cross-scene Crowd Counting Performance, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP, Valletta - Malta, 2020, vol. 4, pp. 373-380. (527.29 KB)
R. Delussu, Putzu, L., and Fumera, G., Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISAPP 2020, Valletta - Malta, 2020, vol. 4, pp. 365-372. (4.23 MB)
L. Demetrio, Biggio, B., Lagorio, G., Roli, F., and Armando, A., Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries, in 3rd Italian Conference on Cyber Security, ITASEC 2019, Pisa, Italy, 2019, vol. 2315. (801.85 KB)
A. Demontis, Melis, M., Biggio, B., Fumera, G., and Roli, F., Super-sparse Learning in Similarity Spaces, IEEE Computational Intelligence Magazine, vol. 11, no. 4, pp. 36-45, 2016. (555.22 KB)
A. Demontis, Melis, M., Pintor, M., Jagielski, M., Biggio, B., Oprea, A., Nita-Rotaru, C., and Roli, F., Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks, in 28th Usenix Security Symposium, Santa Clara, California, USA, 2019, vol. 28th {USENIX} Security Symposium ({USENIX} Security 19), p. 321--338. (1.09 MB)
A. Demontis, Biggio, B., Fumera, G., and Roli, F., Super-Sparse Regression for Fast Age Estimation From Faces at Test Time, in 18th Int'l Conf. on Image Analysis and Processing (ICIAP), Genova, Italy, 2015, vol. Image Analysis and Processing (ICIAP 2015), pp. 551-562. (678.7 KB)
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., and Roli, F., Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection, IEEE Trans. Dependable and Secure Computing, vol. 16, no. 4, pp. 711-724, 2019. (3.61 MB)
A. Demontis, Biggio, B., Fumera, G., Giacinto, G., and Roli, F., Infinity-norm Support Vector Machines against Adversarial Label Contamination, 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pp. 106-115, 2017. (504.93 KB)
A. Demontis, Russu, P., Biggio, B., Fumera, G., and Roli, F., On Security and Sparsity of Linear Classifiers for Adversarial Settings, in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition, Merida, Mexico, 2016, vol. 10029 of LNCS, pp. 322-332. (425.68 KB)
M. A. A. Dewan, Granger, E., Marcialis, G. L., Sabourin, R., and Roli, F., Adaptive Appearance Model Tracking for Still-to-Video Face Recognition, Pattern Recognition, vol. 49, no. 1, 2016. (6.51 MB)
M. A. A. Dewan, Granger, E., Sabourin, R., Roli, F., and Marcialis, G. L., A comparison of adaptive appearance methods for tracking faces in video surveillance, in 5th International Conference on Imaging for Crime Detection and Prevention (ICDP-13), 2013.
M. A. A. Dewan, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker, in IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM 2015), 2015, pp. 192-202. (533.82 KB)
M. Dibitonto, Buonaiuto, A., Marcialis, G. L., Muntoni, D., Medaglia, C. Maria, and Roli, F., Fusion of Radio and Video Localization for People Tracking, in Int. Joint Conf. on Ambient Intelligence (AMI2011), Amsterdam (Holland), 2011.
L. Didaci, Marcialis, G. L., and Roli, F., A Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems, in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008.
L. Didaci, Fumera, G., and Roli, F., Analysis of Co-training Algorithm with Very Small Training Sets, in Structural, Syntactic, and Statistical Pattern Recognition, 2012, vol. 7626, pp. 719-726.
L. Didaci, Giacinto, G., Roli, F., and Marcialis, G. L., A study on the performances of Dynamic Classifier Selection based on Local Accuracy Estimation, Pattern Recognition, vol. 38, pp. 2188-2191, 2005.

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