Foto del docente

Alessandra Lumini

Associate Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

Roberto G.F.; Lumini A.; Neves L.A.; do Nascimento M.Z., Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images, «EXPERT SYSTEMS WITH APPLICATIONS», 2021, 166, pp. 1 - 11 [Scientific article]

Nanni L.; Brahnam S.; Lumini A.; Maguolo G., Animal sound classification using dissimilarity spaces, «APPLIED SCIENCES», 2020, 10, pp. 1 - 18 [Scientific article]Open Access

Nanni L.; Pasquali F.; Brahnam S.; Lumini A.; Axenopoulos A., Convolutional neural networks for 3d protein classification, in: Intelligent Systems Reference Library, Cham, Springer, 2020, pp. 237 - 250 (INTELLIGENT SYSTEMS REFERENCE LIBRARY) [Chapter or essay]

Lumini A.; Nanni L.; Maguolo G., Deep learning for plankton and coral classification, «APPLIED COMPUTING AND INFORMATICS», 2020, ahead-of-print, pp. 1 - 19 [Scientific article]Open Access

Nanni, Loris; Lumini, Alessandra; Maguolo, Gianluca, Digital Recognition of Breast Cancer Using TakhisisNet, in: Opportunities and Challenges in Digital Healthcare Innovation, Hershey, IGI Global, 2020, pp. 151 - 169 [Chapter or essay]

Nanni L.; Brahnam S.; Lumini A., Ensemble of Deep Learning Approaches for ATC Classification, in: Smart Innovation, Systems and Technologies, Singapore, Springer, 2020, pp. 117 - 125 (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES) [Chapter or essay]

Lumini A.; Nanni L., Fair comparison of skin detection approaches on publicly available datasets, «EXPERT SYSTEMS WITH APPLICATIONS», 2020, 160, pp. 1 - 11 [Scientific article]

Nanni Loris; Lumini Alessandra; Pasquali Federica; Brahnam Sheryl, iProStruct2D: Identifying protein structural classes by deep learning via 2D representations, «EXPERT SYSTEMS WITH APPLICATIONS», 2020, 142, pp. 113019 - 113026 [Scientific article]

Brahnam S.; Nanni L.; McMurtrey S.; Lumini A.; Brattin R.; Slack M.; Barrier T., Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors, «APPLIED COMPUTING AND INFORMATICS», 2020, 1, pp. 1 - 22 [Scientific article]Open Access

Nanni L.; Rigo A.; Lumini A.; Brahnam S., Spectrogram classification using dissimilarity space, «APPLIED SCIENCES», 2020, 10, pp. 1 - 17 [Scientific article]Open Access

Nanni Loris; Lumini Alessandra; Ghidoni Stefano; Maguolo Gianluca, Stochastic selection of activation layers for convolutional neural networks, «SENSORS», 2020, 20, pp. 1 - 15 [Scientific article]Open Access

Nanni L.; Brahnam S.; Ghidoni S.; Lumini A., Bioimage Classification with Handcrafted and Learned Features, «IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS», 2019, 16, pp. 874 - 885 [Scientific article]

Lumini A.; Nanni L., Deep learning and transfer learning features for plankton classification, «ECOLOGICAL INFORMATICS», 2019, 51, pp. 33 - 43 [Scientific article]

Nanni L.; Brahnam S.; Lumini A., Face detection ensemble with methods using depth information to filter false positives, «SENSORS», 2019, 19, pp. 1 - 18 [Scientific article]Open Access

Lopez-Lopez, Eric; V. Regueiro, Carlos; M. Pardo, Xosé; Franco, Annalisa; Lumini, Alessandra, Incremental Learning Techniques Within a Self-updating Approach for Face Verification in Video-Surveillance, in: Pattern Recognition and Image Analysis, Springer, 2019, 11868, pp. 25 - 37 (atti di: Iberian Conference on Pattern Recognition and Image Analysis, Madrid, Spain, 01/07/2019 - 04/07/2019) [Contribution to conference proceedings]

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