All Stories

  1. Data from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  2. Data from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  3. Figure 1 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  4. Figure 1 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  5. Figure 2 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  6. Figure 2 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  7. Figure 3 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  8. Figure 3 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  9. Figure 4 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  10. Figure 4 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  11. Figure 5 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  12. Figure 5 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  13. Figure 6 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  14. Figure 6 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  15. Supplementary Table 1 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  16. Supplementary Table 1 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  17. Supplementary Table 2 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  18. Supplementary Table 2 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  19. Supplementary Table 3 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  20. Supplementary Table 3 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  21. Supplementary Table 4 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  22. Supplementary Table 4 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  23. Supplementary Table 5 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  24. Supplementary Table 5 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  25. Supplementary figures from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  26. Supplementary figures from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  27. Supplementary legends from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  28. Supplementary legends from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  29. Supplementary notes from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  30. Supplementary notes from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  31. Table 1 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  32. Table 1 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • June 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  33. Data from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  34. Supplementary Table 1 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  35. Supplementary Table 1 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  36. Supplementary Table 2 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  37. Supplementary Table 2 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  38. Supplementary Table 3 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  39. Supplementary Table 3 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  40. Supplementary Table 4 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  41. Supplementary Table 4 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  42. Supplementary Table 5 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  43. Supplementary Table 5 from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  44. Supplementary figures from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  45. Supplementary figures from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  46. Supplementary legends from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  47. Supplementary legends from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  48. Supplementary notes from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  49. Supplementary notes from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • May 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  50. The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides

    Article • Cancer Immunology Research, March 2023, American Association for Cancer Research (AACR)

    Prof. Fabio Massimo Zanzotto

  51. Implementation of Personalized Medicine by Artificial Intelligence Platform

    Article • September 2022, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  52. Shedding Light on the Dark Web: Authorship Attribution in Radical Forums

    Article • Information, September 2022, MDPI AG

    Prof. Fabio Massimo Zanzotto

  53. KERMITviz: Visualizing Neural Network Activations on Syntactic Trees

    Article • January 2022, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  54. Dis-Cover AI Minds to Preserve Human Knowledge

    Article • Future Internet, December 2021, MDPI AG

    Prof. Fabio Massimo Zanzotto

  55. Discover AI Knowledge to Preserve Cultural Heritage

    Article • September 2021, MDPI AG

    Prof. Fabio Massimo Zanzotto

  56. Data Augmentation Using Background Replacement for Automated Sorting of Littered Waste

    Article • Journal of Imaging, August 2021, MDPI AG

    Prof. Fabio Massimo Zanzotto

  57. Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey

    Article • International Journal of Molecular Sciences, April 2021, MDPI AG

    Prof. Fabio Massimo Zanzotto

  58. Pat-in-the-Loop: Declarative Knowledge for Controlling Neural Networks

    Article • Future Internet, December 2020, MDPI AG

    Prof. Fabio Massimo Zanzotto

  59. CYK Parsing over Distributed Representations

    Article • Algorithms, October 2020, MDPI AG

    Giorgio Satta, Prof. Fabio Massimo Zanzotto

  60. Breast Cancer Prognosis Using a Machine Learning Approach

    Article • Cancers, March 2019, MDPI AG

    Prof. Fabio Massimo Zanzotto

  61. Viewpoint: Human-in-the-loop Artificial Intelligence

    Article • Journal of Artificial Intelligence Research, February 2019, AI Access Foundation

    Prof. Fabio Massimo Zanzotto

  62. Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models

    Article • Cancers, January 2019, MDPI AG

    Prof. Fabio Massimo Zanzotto

  63. Artificial intelligence for cancer-associated thrombosis risk assessment

    Article • The Lancet Haematology, September 2018, Elsevier

    Prof. Fabio Massimo Zanzotto

  64. Have You Lost the Thread? Discovering Ongoing Conversations in Scattered Dialog Blocks

    Article • ACM Transactions on Interactive Intelligent Systems, July 2017, ACM (Association for Computing Machinery)

    Prof. Fabio Massimo Zanzotto

  65. Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations

    Article • May 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Fabio Massimo Zanzotto

  66. Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology

    Article • Disease Markers, January 2017, Hindawi Publishing Corporation

    Prof. Fabio Massimo Zanzotto

  67. RISK: A Random Optimization Interactive System Based on Kernel Learning for Predicting Breast Cancer Disease Progression

    Article • January 2017, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  68. Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients

    Article • Medical Decision Making, August 2016, SAGE Publications

    Prof. Fabio Massimo Zanzotto

  69. When the Whole Is Not Greater Than the Combination of Its Parts: A “Decompositional” Look at Compositional Distributional Semantics

    Article • Computational Linguistics, March 2015, The MIT Press

    Prof. Fabio Massimo Zanzotto

  70. Decoding Distributed Tree Structures

    Article • January 2015, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  71. Linear Online Learning over Structured Data with Distributed Tree Kernels

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Fabio Massimo Zanzotto

  72. Recognizing Textual Entailment: Models and Applications

    Article • Synthesis Lectures on Human Language Technologies, July 2013, Morgan & Claypool Publishers LLC

    Prof. Fabio Massimo Zanzotto

  73. Travel with Words: An Innovative Vision on Travelling

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Fabio Massimo Zanzotto

  74. Parallels between Machine and Brain Decoding

    Article • January 2012, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  75. Brain Informatics

    Article • January 2012, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  76. Reading What Machines "Think": A Challenge for Nanotechnology

    Article • Journal of Computational and Theoretical Nanoscience, October 2011, American Scientific Publishers

    Prof. Fabio Massimo Zanzotto

  77. Efficient Graph Kernels for Textual Entailment Recognition

    Article • Fundamenta Informaticae, January 2011, IOS Press

    Prof. Fabio Massimo Zanzotto

  78. Inductive probabilistic taxonomy learning using singular value decomposition

    Article • Natural Language Engineering, January 2011, Cambridge University Press

    Prof. Fabio Massimo Zanzotto

  79. Transitivity in semantic relation learning

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Fabio Massimo Zanzotto

  80. Comparing EEG/ERP-Like and fMRI-Like Techniques for Reading Machine Thoughts

    Article • January 2010, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  81. A machine learning approach to textual entailment recognition

    Article • Natural Language Engineering, September 2009, Cambridge University Press

    Prof. Fabio Massimo Zanzotto

  82. Probabilistic Ontology Learner in Semantic Turkey

    Article • January 2009, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  83. Reading What Machines “Think”

    Article • January 2009, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  84. Natural Language Processing Across Time: An Empirical Investigation on Italian

    Article • January 2008, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  85. Fast and effective kernels for relational learning from texts

    Article • January 2007, ACM (Association for Computing Machinery)

    Prof. Fabio Massimo Zanzotto

  86. Learning Textual Entailment on a Distance Feature Space

    Article • January 2006, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  87. Discovering Verb Relations in Corpora: Distributional Versus Non-distributional Approaches

    Article • January 2006, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  88. A Linguistic Inspection of Textual Entailment

    Article • January 2005, Springer Science + Business Media

    Prof. Fabio Massimo Zanzotto

  89. Personalizing Web publishing via information extraction

    Article • IEEE Intelligent Systems, January 2003, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Fabio Massimo Zanzotto

  90. Parsing engineering and empirical robustness

    Article • Natural Language Engineering, June 2002, Cambridge University Press

    Prof. Fabio Massimo Zanzotto

  91. Exploiting Transitivity in Probabilistic Models for Ontology Learning

    Article • IGI Global

    Prof. Fabio Massimo Zanzotto

  92. Understanding the Web through its Language

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Fabio Massimo Zanzotto

  93. Integrating ontological and linguistic knowledge for conceptual information extraction

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Fabio Massimo Zanzotto

  94. Web-based information access: multilingual automatic authoring

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Fabio Massimo Zanzotto