Search Results - "Luca Longo"

ADP ribose polymerase inhibitors for treating non-small cell lung cancer: new additions to the pharmacotherapeutic armamentarium

Authors: Giovanni Rossi Lodovica Zullo Luigi Cerbone et al.

Source: Expert Opinion on Pharmacotherapy. 21:679-686

Subject Terms: 0301 basic medicine, Adenosine Diphosphate Ribose, Lung Neoplasms, Chemoradiotherapy, Poly(ADP-ribose) Polymerase Inhibitors, B7-H1 Antigen, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Carcinoma, Non-Small-Cell Lung, Cell Line, Tumor, Antineoplastic Combined Chemotherapy Protocols, Tumor Microenvironment, Humans, Female, Immunotherapy, Randomized Controlled Trials as Topic

Access URL: https://pubmed.ncbi.nlm.nih.gov/32073315
https://www.ncbi.nlm.nih.gov/pubmed/32073315
https://moh-it.pure.elsevier.com/en/publications/adp-ribose-polymerase-inhibitors-for-treating-non-small-cell-lung
https://www.tandfonline.com/doi/full/10.1080/14656566.2020.1724283

Special Issue: Advances in Argumentation in Artificial Intelligence, Guest Editors: Pierpaolo Dondio, Luca Longo and Stefano Bistarelli.

Source: Intelligenza Artificiale; 2019, Vol. 13 Issue 2, p119-119, 1p

Subject Terms: ARTIFICIAL intelligence, DEBATE, HOSPITALITY

Explainable Artificial Intelligence

Authors: Riccardo Guidotti Ute Schmid Luca Longo

Resource Type: eBook.

Categories: COMPUTERS / Artificial Intelligence / General

Extracellular vesicles miR-574-5p and miR-181a-5p as prognostic markers in NSCLC patients treated with nivolumab.

Authors: Genova, Carlo Marconi, Silvia Chiorino, Giovanna et al.

Source: Clinical & Experimental Medicine; 8/6/2024, Vol. 24 Issue 1, p1-14, 14p

Subject Terms: IMMUNE checkpoint inhibitors, NON-small-cell lung carcinoma, EXTRACELLULAR vesicles, OVERALL survival, PROGNOSIS

onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation.

Authors: Longo, Luca Reilly, Richard B.

Source: PLoS ONE; 1/28/2025, Vol. 20 Issue 1, p1-25, 25p

Subject Terms: SIGNAL-to-noise ratio, BRAIN-computer interfaces, NOISE control, ELECTRODE potential, ELECTROENCEPHALOGRAPHY

Corrigendum: Human mental workload: A survey and a novel inclusive definition.

Source: Frontiers in Psychology; 7/26/2022, Vol. 13, p1-1, 1p

Subject Terms: MENTAL work, DEFINITIONS

Artificial Intelligence and Cognitive Science

Authors: Luca Longo Ruairi O’Reilly

Resource Type: eBook.

Subjects: Artificial intelligence--Congresses, Cognitive science--Data processing--Congresses

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Architecture, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Database Administration & Management, COMPUTERS / Networking / General, COMPUTERS / Hardware / General

Natural Language Processing RELIES on Linguistics.

Authors: Opitz, Juri Wein, Shira Schneider, Nathan

Source: Computational Linguistics; Sep2025, Vol. 51 Issue 3, p1009-1032, 24p

Subject Terms: NATURAL language processing, LINGUISTICS, GRAMMAR, COHESION (Linguistics), ARTIFICIAL intelligence, COGNITIVE linguistics, LANGUAGE models

Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap.

Authors: Tekkesinoglu, Sule Habibovic, Azra Kunze, Lars

Source: ACM Transactions on Human-Robot Interaction; Sep2025, Vol. 14 Issue 3, p1-46, 46p

Subject Terms: DRIVERLESS cars, ETHICS, ROAD maps, RESPONSIBILITY, STAKEHOLDER analysis, INTERDISCIPLINARY research, DATA analytics, PARTICIPATORY design

Instantiating the onEEGwaveLAD Framework for Real-Time Muscle Artefact Identification and Mitigation in EEG Signals.

Authors: Longo, Luca Reilly, Richard

Source: Sensors (14248220); Aug2025, Vol. 25 Issue 16, p5018, 33p

Subject Terms: ELECTROENCEPHALOGRAPHY, WAVELET transforms, TIME-frequency analysis, MEDICAL artifacts, REAL-time computing, SIGNAL denoising, OUTLIER detection

PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces.

Authors: Singh, Gursimran Chharia, Aviral Upadhyay, Rahul et al.

Source: PLoS ONE; 8/6/2025, Vol. 20 Issue 8, p1-28, 28p

Subject Terms: BRAIN-computer interfaces, PYTHON programming language, VISUAL programming (Computer science), MODULAR design, ELECTROENCEPHALOGRAPHY, MACHINE learning, ACQUISITION of data

Smart Imputation, Better Recommendations: Improving Traditional Point-of-Interest Recommendation through Data Augmentation.

Authors: SÁNCHEZ, PABLO BELLOGÍN, ALEJANDRO

Source: ACM Transactions on Intelligent Systems & Technology; Aug2025, Vol. 16 Issue 4, p1-35, 35p

Subject Terms: RECOMMENDER systems, DATA augmentation, TOURIST attractions, DATA quality, GEODATABASES

Pixel-Based Clustering for Local Interpretable Model-Agnostic Explanations.

Authors: Qian, Junyan Wen, Tong Ling, Ming et al.

Source: Journal of Artificial Intelligence & Soft Computing Research; 2025, Vol. 15 Issue 3, p257-277, 21p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, STATISTICAL sampling, EXPLANATION, FORECASTING

Neuro-symbolic AI and the semantic web.

Authors: Hitzler, Pascal Ebrahimi, Monireh Sarker, Md Kamruzzaman et al.

Source: Semantic Web (1570-0844); 2024, Vol. 15 Issue 4, p1261-1263, 3p

Subject Terms: NATURAL language processing, ARTIFICIAL intelligence, GRAPH neural networks, KNOWLEDGE representation (Information theory), KNOWLEDGE graphs, DEEP learning

Is neuro-symbolic AI meeting its promises in natural language processing? A structured review.

Authors: Hamilton, Kyle Nayak, Aparna Božić, Bojan et al.

Source: Semantic Web (1570-0844); 2024, Vol. 15 Issue 4, p1265-1306, 42p

Subject Terms: NATURAL language processing, KNOWLEDGE representation (Information theory), ARTIFICIAL intelligence, INTERPERSONAL relations, LOGIC, DEEP learning

Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box.

Authors: Moreira, Catarina Chou, Yu-Liang Hsieh, Chihcheng et al.

Source: ACM Computing Surveys; Jun2025, Vol. 57 Issue 6, p1-37, 37p

Subject Terms: ARTIFICIAL intelligence, ARTIFICIAL neural networks, MACHINE learning, GRAPH neural networks, MODEL-based reasoning, DEEP learning, COUNTERFACTUALS (Logic)

Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions.

Authors: Hossain, Md Imran Zamzmi, Ghada Mouton, Peter R. et al.

Source: ACM Computing Surveys; Jun2025, Vol. 57 Issue 6, p1-46, 46p

Subject Terms: ARTIFICIAL neural networks, MACHINE learning, ARTIFICIAL intelligence, SCIENCE conferences, COMPUTER-aided diagnosis, BREAST, DEEP learning

Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability.

Authors: Liapis, Georgios I. Tsoka, Sophia Papageorgiou, Lazaros G.

Source: Machine Learning & Knowledge Extraction; Jun2025, Vol. 7 Issue 2, p33-N.PAG, 22p

Subject Terms: MIXED integer linear programming, FEATURE selection, ARTIFICIAL neural networks, OPTIMIZATION algorithms, MACHINE learning, REGRESSION analysis

Evaluation of EEG pre-processing and source localization in ecological research.

Authors: Gomez-Tapia, Carlos Bozic, Bojan Longo, Luca

Source: Frontiers in Neuroimaging; 2025, p1-15, 15p

Subject Terms: ELECTROENCEPHALOGRAPHY, NEUROPHYSIOLOGY, SENSORY perception, SCIENTIFIC computing, EMPIRICAL research, SIGNAL detection, EXECUTIVE function

Acknowledgment to the Reviewers of Applied Sciences in 2022.

Source: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 3, p1425, 231p

Subject Terms: APPLIED sciences, SCHOLARLY publishing