Ivan Letteri - RankMe

35 papers B 1Misc 2Journal 14Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Practical Ethics for AI. Intelligenza Artificiale Abeer Dyoub, Francesca A. Lisi, Stefania Costantini, Ivan Letteri, Giovanni De Gasperis, Chiara Gallese
2025	J	`jnl`	A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books. CoRR Ivan Letteri
2025	J	`jnl`	A Framework for Predictive Directional Trading Based on Volatility and Causal Inference. CoRR Ivan Letteri
2025	—	`conf`	Adaptation, automated feedback, engagement, and effectiveness in learning data science: a summary of five years of research. Ital-IA Pierpaolo Vittorini, Ivan Letteri, Tamsir Jobe
2025	J	`jnl`	Enhancing Student Feedback in Data Science Education: Harnessing the Power of AI-Generated Approaches. Int. J. Artif. Intell. Educ. Ivan Letteri, Pierpaolo Vittorini
2025	J	`jnl`	Statistical Arbitrage Volatility-Driven with Statistics and Machine Learning Models for Stock Market Forecasting. SN Comput. Sci. Ivan Letteri
2025	—	`conf`	Towards sustainable computation: synergizing LLM heat recovery and algorithmic trading for energy-efficient AI systems. Ital-IA Ivan Letteri, Pierpaolo Vittorini, Tamsir Jobe
2025	J	`jnl`	ff4ERA: A new Fuzzy Framework for Ethical Risk Assessment in AI. CoRR Abeer Dyoub, Ivan Letteri, Francesca A. Lisi
2024	—	`conf`	Automatic Generation of Learning Material for Residential Students in ED: Prompt Engineering and Evaluation. ITHET Antonella Fontana, Gaia Sinatti, Sara Cicchinelli, Silvano Junior Santini, Valerio Caputo, Ivan Letteri, Pierpaolo Vittorini, Clara Balsano
2024	J	`jnl`	Dataset Optimization for Chronic Disease Prediction with Bio-Inspired Feature Selection. CoRR Abeer Dyoub, Ivan Letteri
2024	Misc	`conf`	Exploring the Impact of LLM-Generated Feedback: Evaluation from Professors and Students in Data Science Courses. MIS4TEL Ivan Letteri, Pierpaolo Vittorini
2024	—	`conf`	Leveraging Bio-Inspired Optimization Algorithms for Advanced Feature Selection in Chronic Disease Datasets. Ital-IA Ivan Letteri, Abeer Dyoub
2024	—	`conf`	Stock Market Forecasting Using Machine Learning Models Through Volatility-Driven Trading Strategies. FEMIB Ivan Letteri
2024	—	`conf`	VolTS Augmented: An Improvement of a Volatility-based Trading System to Forecast Stock Markets Trends. Ital-IA Ivan Letteri
2023	—	`conf`	AITA: A new framework for Trading Forward Testing with an Artificial Intelligence Engine. Ital-IA Ivan Letteri
2023	J	`jnl`	Extension of constraint-procedural logic-generated environments for deep Q-learning agent training and benchmarking. J. Log. Comput. Giovanni De Gasperis, Stefania Costantini, Andrea Rafanelli, Patrizio Migliarini, Ivan Letteri, Abeer Dyoub
2023	Misc	`conf`	First Evaluation of an Adaptive Tool Supporting Formative Assessment in Data Science Courses. MIS4TEL Annalisa Angelone, Ivan Letteri, Pierpaolo Vittorini
2023	J	`jnl`	Secured Fiscal Credit Model: Multi-Agent Systems And Decentralized Autonomous Organisations For Tax Credit's Tracking. CoRR Giovanni De Gasperis, Sante Dino Facchini, Ivan Letteri
2023	—	`conf`	Trading Strategy Validation Using Forwardtesting with Deep Neural Networks. FEMIB Ivan Letteri, Giuseppe Della Penna, Giovanni De Gasperis, Abeer Dyoub
2022	J	`jnl`	A Stock Trading System for a Medium Volatile Asset using Multi Layer Perceptron. CoRR Ivan Letteri, Giuseppe Della Penna, Giovanni De Gasperis, Abeer Dyoub
2022	—	`conf`	Care Robots Learning Rules of Ethical Behavior Under the Supervision of an Ethical Teacher (Short paper). HYDRA/RCRA@LPNMR Abeer Dyoub, Stefania Costantini, Ivan Letteri
2022	J	`jnl`	DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks. CoRR Ivan Letteri, Giuseppe Della Penna, Giovanni De Gasperis, Abeer Dyoub
2021	—	`conf`	A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues. ICLP Technical Communications Abeer Dyoub, Stefania Costantini, Ivan Letteri, Francesca A. Lisi
2021	—	`conf`	Ethical Monitoring and Evaluation of Dialogues with a MAS. CILC Abeer Dyoub, Stefania Costantini, Francesca A. Lisi, Ivan Letteri
2021	—	`conf`	Imbalanced Dataset Optimization with New Resampling Techniques. IntelliSys (2) Ivan Letteri, Antonio Di Cecco, Abeer Dyoub, Giuseppe Della Penna
2021	—	`conf`	New Optimization Approaches in Malware Traffic Analysis. LOD Ivan Letteri, Antonio Di Cecco, Giuseppe Della Penna
2020	J	`jnl`	A Novel Resampling Technique for Imbalanced Dataset Optimization. CoRR Ivan Letteri, Antonio Di Cecco, Abeer Dyoub, Giuseppe Della Penna
2020	J	`jnl`	Dataset Optimization Strategies for MalwareTraffic Detection. CoRR Ivan Letteri, Antonio Di Cecco, Giuseppe Della Penna
2020	—	`conf`	Logic-based Machine Learning for Transparent Ethical Agents. CILC Abeer Dyoub, Stefania Costantini, Francesca Alessandra Lisi, Ivan Letteri
2020	—	`conf`	MTA-KDD'19: A Dataset for Malware Traffic Detection. ITASEC Ivan Letteri, Giuseppe Della Penna, Luca Di Vita, Maria Teresa Grifa
2019	B	`conf`	An ontology to improve the first aid service quality. SMC Lorenzo De Lauretis, Stefania Costantini, Ivan Letteri
2019	—	`conf`	Feature Selection Strategies for HTTP Botnet Traffic Detection. EuroS&P Workshops Ivan Letteri, Giuseppe Della Penna, Pasquale Caianiello
2019	J	`jnl`	Security in the internet of things: botnet detection in software-defined networks by deep learning techniques. Int. J. High Perform. Comput. Netw. Ivan Letteri, Giuseppe Della Penna, Giovanni De Gasperis
2018	—	`conf`	Botnet Detection in Software Defined Networks by Deep Learning Techniques. CSS Ivan Letteri, Giuseppe Della Penna, Giovanni De Gasperis
2018	—	`conf`	Performance of Botnet Detection by Neural Networks in Software-Defined Networks. ITASEC Ivan Letteri, Massimo Del Rosso, Pasquale Caianiello, Dajana Cassioli