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  1. Introduction to Machine Learning for Materials Property Modeling

    Article • January 2025, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  2. QSAR: Using the Past to Study the Present

    Article • September 2024, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  3. Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project

    Article • SAR and QSAR in Environmental Research, December 2023, Taylor & Francis

    Prof Giuseppina Carla Gini

  4. Big data and deep learning: extracting and revising chemical knowledge from data

    Article • January 2023, Elsevier

    Prof Giuseppina Carla Gini

  5. Informatics in Control, Automation and Robotics

    Article • January 2023, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  6. Active upper limb prostheses: a review on current state and upcoming breakthroughs

    Article • Progress in Biomedical Engineering, January 2023, Institute of Physics Publishing

    Prof Giuseppina Carla Gini

  7. Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics

    Article • July 2022, Scitepress

    Prof Giuseppina Carla Gini

  8. Correction to Structures of Endocrine-Disrupting Chemicals Determine Binding to and Activation of the Estrogen Receptor α and Androgen Receptor

    Article • Environmental Science & Technology, February 2022, American Chemical Society (ACS)

    Prof Giuseppina Carla Gini

  9. Structures of Endocrine-Disrupting Chemicals Correlate with the Activation of 12 Classic Nuclear Receptors

    Article • Environmental Science & Technology, December 2021, American Chemical Society (ACS)

    Prof Giuseppina Carla Gini

  10. Predictive models of toxicity using deep learning: the case of mutagenicity

    Article • Molecular Diversity, June 2021, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  11. Structures of Endocrine-Disrupting Chemicals Determine Binding to and Activation of the Estrogen Receptor α and Androgen Receptor

    Article • Environmental Science & Technology, July 2020, American Chemical Society (ACS)

    Prof Giuseppina Carla Gini

  12. Can chemical similarity be computed by deep learning?

    Article • Foundations of Chemistry, July 2020, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  13. Machine Learning and Deep Learning Methods in Ecotoxicological QSAR Modeling

    Article • January 2020, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  14. Discovering substructures able to predicting toxicity against fish

    Article • Journal of Toxicology and Risk Assessment, December 2019, ClinMed International Library

    Prof Giuseppina Carla Gini

  15. A neuromorphic control architecture for a biped robot

    Article • Robotics and Autonomous Systems, October 2019, Elsevier

    Prof Giuseppina Carla Gini

  16. Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy

    Article • Environment International, October 2019, Elsevier

    Prof Giuseppina Carla Gini

  17. Could deep learning in neural networks improve the QSAR models?

    Article • SAR and QSAR in Environmental Research, August 2019, Taylor & Francis

    Prof Giuseppina Carla Gini, Dr Emilio Benfenati

  18. Constructing knowledge bases for robots

    Article • Advanced Robotics, July 2019, Taylor & Francis

    Prof Giuseppina Carla Gini

  19. A robot cognitive model learns which action to select

    Article • Cognitive Systems Research, October 2018, Elsevier

    Prof Giuseppina Carla Gini

  20. Programs that predict mutagenicity of chemical compouds and their integration

    Article • SAR and QSAR in Environmental Research, July 2018, Taylor & Francis

    azadi Golbamaki, Prof Giuseppina Carla Gini

  21. Classify shoulder movements from sEMG signals

    Article • IEEE Sensors Journal, May 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Giuseppina Carla Gini

  22. Understanting the computational methods for predicting the biological properties of chemicals

    Article • January 2018, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  23. Advances in QSAR Modeling

    Article • January 2017, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  24. Comparing expert read-across predictions

    Article • SAR and QSAR in Environmental Research, May 2016, Taylor & Francis

    Prof Giuseppina Carla Gini

  25. From learning to new goal generation in a bioinspired robotic setup

    Article • Advanced Robotics, April 2016, Taylor & Francis

    Prof Giuseppina Carla Gini

  26. New clues on carcinogenicity-related substructures derived from mining two large datasets of chemical compounds

    Article • Journal of Environmental Science and Health Part C, March 2016, Taylor & Francis

    Prof Giuseppina Carla Gini

  27. ToxRead: A tool to assist in read across and its use to assess mutagenicity of chemicals

    Article • SAR and QSAR in Environmental Research, December 2014, Taylor & Francis

    Prof Giuseppina Carla Gini

  28. Molecular substructures linked to ready biodegradability of chemicals

    Article • Chemosphere, August 2014, Elsevier

    Prof Giuseppina Carla Gini

  29. Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction

    Article • SAR and QSAR in Environmental Research, May 2013, Taylor & Francis

    Prof Giuseppina Carla Gini

  30. CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats

    Article • Journal of Computational Chemistry, June 2011, Wiley

    Prof Giuseppina Carla Gini

  31. Mining toxicity structural alerts from SMILES: A new way to derive Structure Activity Relationships

    Article • April 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Giuseppina Carla Gini

  32. ChemInform Abstract: The Importance of Scaling in Data Mining for Toxicity Prediction.

    Article • ChemInform, May 2010, Wiley

    Prof Giuseppina Carla Gini

  33. GUEST EDITORIAL: MARCO SOMALVICO MEMORIAL ISSUE

    Article • Computational Intelligence, May 2009, Wiley

    Prof Giuseppina Carla Gini

  34. GUEST EDITORIAL: AN ARTIFICIAL INTELLIGENCE MISCELLANEA, REMEMBERING MARCO SOMALVICO

    Article • Applied Artificial Intelligence, March 2009, Taylor & Francis

    Prof Giuseppina Carla Gini

  35. Guest editorial: Marco Somalvico memorial issue

    Article • Annals of Mathematics and Artificial Intelligence, December 2008, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  36. GUEST EDITORIAL: PAPERS IN SENSING AND IN REASONING (MARCO SOMALVICO MEMORIAL ISSUE)

    Article • Cybernetics & Systems, May 2008, Taylor & Francis

    Prof Giuseppina Carla Gini

  37. E-MODELLING: FOUNDATIONS AND CASES FOR APPLYING AI TO LIFE SCIENCES

    Article • International Journal on Artificial Intelligence Tools, April 2007, World Scientific Pub Co Pte Lt

    Prof Giuseppina Carla Gini

  38. Description of the Electronic Structure of Organic Chemicals Using Semiempirical and Ab Initio Methods for Development of Toxicological QSARs

    Article • Journal of Chemical Information and Modeling, January 2005, American Chemical Society (ACS)

    Prof Giuseppina Carla Gini

  39. LARP, Biped Robotics Conceived as Human Modelling

    Article • January 2005, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  40. MULTICLASS CLASSIFIER FROM A COMBINATION OF LOCAL EXPERTS: TOWARD DISTRIBUTED COMPUTATION FOR REAL-PROBLEM CLASSIFIERS

    Article • International Journal of Pattern Recognition and Artificial Intelligence, August 2004, World Scientific Pub Co Pte Lt

    Prof Giuseppina Carla Gini

  41. Database mining with adaptive fuzzy partition: Application to the prediction of pesticide toxicity on rats

    Article • Environmental Toxicology and Chemistry, May 2003, Wiley

    Prof Giuseppina Carla Gini

  42. The Importance of Scaling in Data Mining for Toxicity Prediction

    Article • Journal of Chemical Information and Modeling, September 2002, American Chemical Society (ACS)

    Prof Giuseppina Carla Gini

  43. Mixing a Symbolic and a Subsymbolic Expert to Improve Carcinogenicity Prediction of Aromatic Compounds

    Article • January 2001, Springer Science + Business Media

    Prof Giuseppina Carla Gini

  44. Robotic programs for manipulation can use a frame-based model of the world

    Article • ACM Transactions on Programming Languages and Systems, April 1985, ACM (Association for Computing Machinery)

    Prof Giuseppina Carla Gini, Maria Gini

  45. Interactive development of object handling programs

    Article • Computer Languages, January 1982, Elsevier

    Prof Giuseppina Carla Gini, Maria Gini

  46. Advanced steps in biped robotics: innovative design and intuitive control through spring-damper actuator

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Giuseppina Carla Gini

  47. Clustering and classification techniques to assess aquatic toxicity

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Giuseppina Carla Gini