Fast Planning through Greedy Action Graphs. - Alfonso Gerevini; Ivan Serina (AAAI/IAAI, 1999)

On Plan Adaption through Planning Graph Analysis. - Alfonso Gerevini; Ivan Serina (AI*IA, 1999)

Fast Plan Adaptation through Planning Graphs: Local and Systematic Search Techniques. - Alfonso Gerevini; Ivan Serina (AIPS, 2000)

Lagrange Multipliers for Local Search on Planning Graphs. - Alfonso Gerevini; Ivan Serina (Local Search for Planning and Scheduling, 2000)

LPG: A Planner Based on Local Search for Planning Graphs with Action Costs. - Alfonso Gerevini; Ivan Serina (AIPS, 2002)

On Managing Temporal Information for Handling Durative Actions in LPG. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (AI*IA, 2003)

Local Search Techniques for Temporal Planning in LPG. - Alfonso Gerevini; Ivan Serina; Alessandro Saetti; Sergio Spinoni (ICAPS, 2003)

Planning as Propositional CSP: From Walksat to Local Search Techniques for Action Graphs. - Alfonso Gerevini; Ivan Serina (Constraints An Int. J., 2003)

Planning Through Stochastic Local Search and Temporal Action Graphs in LPG. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (J. Artif. Intell. Res., 2003)

An Empirical Analysis of Some Heuristic Features for Local Search in LPG. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (ICAPS, 2004)

Planning with Numerical Expressions in LPG. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (ECAI, 2004)

MADbot: A Motivated and Goal Directed Robot. - Alexandra M. Coddington; Maria Fox 001; Jonathan Gough; Derek Long; Ivan Serina (AAAI, 2005)

Fast Planning in Domains with Derived Predicates: An Approach Based on Rule-Action Graphs and Local Search. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina; Paolo Toninelli (AAAI, 2005)

Planning with Derived Predicates Through Rule-Action Graphs and Local Search Techniques. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina; Paolo Toninelli (AI*IA, 2005)

Integrating Planning and Temporal Reasoning for Domains with Durations and Time Windows. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (IJCAI, 2005)

Automated Planning with Numerical Variables in LPG. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (Intelligenza Artificiale, 2005)

Plan Stability: Replanning versus Plan Repair. - Maria Fox 001; Alfonso Gerevini; Derek Long; Ivan Serina (ICAPS, 2006)

An Approach to Temporal Planning and Scheduling in Domains with Predictable Exogenous Events. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (J. Artif. Intell. Res., 2006)

Domain Independent Approaches for Finding Diverse Plans. - Biplav Srivastava; Tuan Anh Nguyen 001; Alfonso Gerevini; Subbarao Kambhampati; Minh Binh Do; Ivan Serina (IJCAI, 2007)

An approach to efficient planning with numerical fluents and multi-criteria plan quality. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (Artif. Intell., 2008)

An Empirical Analysis of Some Heuristic Features for Planning with Local Search in LPG. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (RCRA@AI*IA, 2009)

Temporal Planning with Problems Requiring Concurrency through Action Graphs and Local Search. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (ICAPS, 2010)

Kernel functions for case-based planning. - Ivan Serina (Artif. Intell., 2010)

Efficient Plan Adaptation through Replanning Windows and Heuristic Goals. - Alfonso Gerevini; Ivan Serina (Fundam. Informaticae, 2010)

Planning and Execution in a Personalised E-Learning Setting. - Lluvia Morales; Antonio Garrido 002; Ivan Serina (CAEPIA, 2011)

Applying Case-Based Planning to Personalized E-learning. - Antonio Garrido 002; Lluvia Morales; Ivan Serina (DMS, 2011)

Planning in domains with derived predicates through rule-action graphs and local search. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (Ann. Math. Artif. Intell., 2011)

Planning with Partial Preference Models - Tuan Anh Nguyen 001; Minh Binh Do; Alfonso Gerevini; Ivan Serina; Biplav Srivastava; Subbarao Kambhampati (CoRR, 2011)

An Empirical Analysis of Some Heuristic Features for Planning through Local Search and Action Graphs. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (Fundam. Informaticae, 2011)

Using AI Planning to Enhance E-Learning Processes. - Antonio Garrido 002; Lluvia Morales; Ivan Serina (ICAPS, 2012)

Case-based Planning for Problems with Real-valued Fluents: Kernel Functions for Effective Plan Retrieval. - Alfonso Gerevini; Alessandro Saetti; Ivan Serina (ECAI, 2012)

Generating diverse plans to handle unknown and partially known user preferences. - Tuan Anh Nguyen 001; Minh Binh Do; Alfonso Gerevini; Ivan Serina; Biplav Srivastava; Subbarao Kambhampati (Artif. Intell., 2012)

Offline and Online Plan Library Maintenance in Case-Based Planning. - Alfonso Gerevini; Anna Roubícková; Alessandro Saetti; Ivan Serina (AI*IA, 2013)

On the Plan-Library Maintenance Problem in a Case-Based Planner. - Alfonso Gerevini; Anna Roubícková; Alessandro Saetti; Ivan Serina (ICCBR, 2013)

Case-Based Merging Techniques in OAKPLAN. - Anna Roubícková; Ivan Serina (CoRR, 2013)

Study of ECG Quality using Self Learning Techniques. - Gianfranco Toninelli; Alfonso Gerevini; Ivan Serina; Martino Vaglio; Fabio Badilini (CinC, 2014)

A Privacy-preserving Model for the Multi-agent Propositional Planning Problem. - Andrea Bonisoli; Alfonso Emilio Gerevini; Alessandro Saetti; Ivan Serina (ECAI, 2014)

Progress in Case-Based Planning. - Daniel Borrajo; Anna Roubícková; Ivan Serina (ACM Comput. Surv., 2014)

Automated planning and scheduling. - Gabriella Cortellessa; Alfonso Emilio Gerevini; Daniele Magazzeni; Ivan Serina (Intelligenza Artificiale, 2014)

On the Use of Landmarks in LPG. - Francesco Benzi; Alfonso Emilio Gerevini; Alessandro Saetti; Ivan Serina (IPS@AI*IA, 2015)

Effective plan retrieval in case-based planning for metric-temporal problems. - Andrea Bonisoli; Alfonso Emilio Gerevini; Alessandro Saetti; Ivan Serina (J. Exp. Theor. Artif. Intell., 2015)

Partial Delete Relaxation, Unchained: On Intractable Red-Black Planning and Its Applications. - Daniel Gnad 001; Marcel Steinmetz; Mathäus Jany; Jörg Hoffmann 001; Ivan Serina; Alfonso Gerevini (SOCS, 2016)

On the use of case-based planning for e-learning personalization. - Antonio Garrido 002; Lluvia Morales; Ivan Serina (Expert Syst. Appl., 2016)

Identifying and Exploiting Features for Effective Plan Retrieval in Case-Based Planning. - Mauro Vallati; Ivan Serina; Alessandro Saetti; Alfonso Emilio Gerevini (Fundam. Informaticae, 2016)

On the use of landmarks in planner LPG. - Francesco Benzi; Alfonso Emilio Gerevini; Alessandro Saetti; Ivan Serina (Intelligenza Artificiale, 2016)

6th Italian Workshop on Planning and Scheduling (IPS 2015). - Gabriella Cortellessa; Daniele Magazzeni; Marco Maratea; Ivan Serina (Intelligenza Artificiale, 2016)

On the Evolution of Planner-Specific Macro Sets. - Mauro Vallati; Lukás Chrpa; Ivan Serina (AI*IA, 2017)

Comparison of supervised machine learning techniques for PD classification in generator insulation. - H. M. M. G. T. Herath; J. R. S. S. Kumara; M. A. R. M. Fernando; K. M. K. S. Bandara; Ivan Serina (ICIIS, 2017)

Iterative Width Search for Multi Agent Privacy-Preserving Planning. - Gabriele Bazzotti; Alfonso Emilio Gerevini; Nir Lipovetzky; Francesco Percassi; Alessandro Saetti; Ivan Serina (AI*IA, 2018)

A General Approach for Configuring PDDL Problem Models. - Mauro Vallati; Ivan Serina (ICAPS, 2018)

Automatic classification of radiological reports for clinical care. - Alfonso Emilio Gerevini; Alberto Lavelli; Alessandro Maffi; Roberto Maroldi; Anne-Lyse Minard; Ivan Serina; Guido Squassina (Artif. Intell. Medicine, 2018)

A privacy-preserving model for multi-agent propositional planning. - Andrea Bonisoli; Alfonso Emilio Gerevini; Alessandro Saetti; Ivan Serina (J. Exp. Theor. Artif. Intell., 2018)

Leveraging Multi-task Learning for Biomedical Named Entity Recognition. - Tahir Mehmood; Alfonso Gerevini; Alberto Lavelli; Ivan Serina (AI*IA, 2019)

Applying Self-interaction Attention for Extracting Drug-Drug Interactions. - Luca Putelli; Alfonso Gerevini; Alberto Lavelli; Ivan Serina (AI*IA, 2019)

Best-First Width Search for Multi Agent Privacy-Preserving Planning. - Alfonso Emilio Gerevini; Nir Lipovetzky; Francesco Percassi; Alessandro Saetti; Ivan Serina (ICAPS, 2019)

Multi-task Learning Applied to Biomedical Named Entity Recognition Task. - Tahir Mehmood; Alfonso Gerevini; Alberto Lavelli; Ivan Serina (CLiC-it, 2019)

The Impact of Self-Interaction Attention on the Extraction of Drug-Drug Interactions. - Luca Putelli; Alfonso Emilio Gerevini; Alberto Lavelli; Ivan Serina (CLiC-it, 2019)

Novelty Messages Filtering for Multi Agent Privacy-Preserving Plannin. - Alfonso Emilio Gerevini; Nir Lipovetzky; Nico Peli; Francesco Percassi; Alessandro Saetti; Ivan Serina (SOCS, 2019)

Novelty Messages Filtering for Multi Agent Privacy-preserving Planning. - Alfonso Emilio Gerevini; Nir Lipovetzky; Nico Peli; Francesco Percassi; Alessandro Saetti; Ivan Serina (CoRR, 2019)

Preface. - Marco Maratea; Ivan Serina; Paolo Torroni (Fundam. Informaticae, 2019)

Towards Plan Recognition in Hybrid Systems. - Diego Aineto; Eva Onaindia; Miquel Ramírez; Enrico Scala; Ivan Serina (IPS-RCRA@AI*IA, 2020)

Knowledge Distillation Techniques for Biomedical Named Entity Recognition. - Tahir Mehmood; Ivan Serina; Alberto Lavelli; Alfonso Gerevini (NL4AI@AI*IA, 2020)

A Comparison of Natural Language Understanding Services to build a chatbot in Italian. - Matteo Zubani; Ivan Serina; Alfonso Emilio Gerevini (NL4AI@AI*IA, 2020)

Generating and Exploiting Cost Predictions in Heuristic State-Space Planning. - Francesco Percassi; Alfonso Emilio Gerevini; Enrico Scala; Ivan Serina; Mauro Vallati (ICAPS, 2020)

Search-Guidance Mechanisms for Numeric Planning Through Subgoaling Relaxation. - Enrico Scala; Alessandro Saetti; Ivan Serina; Alfonso Emilio Gerevini (ICAPS, 2020)

Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees. - Alfonso Emilio Gerevini; Roberto Maroldi; Matteo Olivato; Luca Putelli; Ivan Serina (KDH@ECAI, 2020)

Length of Stay Prediction for Northern Italy COVID-19 Patients Based on Lab Tests and X-Ray Data. - Mattia Chiari; Alfonso Emilio Gerevini; Roberto Maroldi; Matteo Olivato; Luca Putelli; Ivan Serina (ICPR Workshops (1), 2020)

Configurable Heuristic Adaptation for Improving Best First Search in AI Planning. - Ivan Serina; Mauro Vallati (ICTAI, 2020)

Combining Multi-task Learning with Transfer Learning for Biomedical Named Entity Recognition. - Tahir Mehmood; Alfonso Emilio Gerevini; Alberto Lavelli; Ivan Serina (KES, 2020)

Evaluation of Machine Learning Techniques for Inflow Prediction in Lake Como, Italy. - Michele Pini; Andrea Scalvini; Muhammad Usman Liaqat; Roberto Ranzi; Ivan Serina; Tahir Mehmood (KES, 2020)

Deep Learning for Classification of Radiology Reports with a Hierarchical Schema. - Luca Putelli; Alfonso Emilio Gerevini; Alberto Lavelli; Matteo Olivato; Ivan Serina (KES, 2020)

Evaluating different Natural Language Understanding services in a real business case for the Italian language. - Matteo Zubani; Luca Sigalini; Ivan Serina; Alfonso Emilio Gerevini (KES, 2020)

MEvo: a framework for effective macro sets evolution. - Mauro Vallati; Lukás Chrpa; Ivan Serina (J. Exp. Theor. Artif. Intell., 2020)

An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy. - Mattia Chiari; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Nicholas Rossetti; Ivan Serina (AIME, 2021)

Attention-Based Explanation in a Deep Learning Model For Classifying Radiology Reports. - Luca Putelli; Alfonso Emilio Gerevini; Alberto Lavelli; Roberto Maroldi; Ivan Serina (AIME, 2021)

A BERT-Based Scoring System for Workplace Safety Courses in Italian. - Nicola Arici; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina; Luca Sigalini (AI*IA, 2022)

Graphical Identification of Gender Bias in BERT with a Weakly Supervised Approach. - Michele Dusi; Nicola Arici; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (NL4AI@AI*IA, 2022)

On the Behaviour of BERT's Attention for the Classification of Medical Reports. - Luca Putelli; Alfonso Emilio Gerevini; Alberto Lavelli; Tahir Mehmood; Ivan Serina (XAI.it@AI*IA, 2022)

A Preliminary Study on BERT applied to Automated Planning. - Lorenzo Serina; Mattia Chiari; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (IPS/RiCeRcA/SPIRIT@AI*IA, 2022)

Explaining the Behaviour of Hybrid Systems with PDDL+ Planning. - Diego Aineto; Eva Onaindia; Miquel Ramírez; Enrico Scala; Ivan Serina (IJCAI, 2022)

Machine Learning Models for Predicting Short-Long Length of Stay of COVID-19 Patients. - Matteo Olivato; Nicholas Rossetti; Alfonso Emilio Gerevini; Mattia Chiari; Luca Putelli; Ivan Serina (KES, 2022)

Machine learning techniques for MRI feature-based detection of frontotemporal lobar degeneration. - Tatiana Pilipenko; Alessandro Gnutti; Andrea Silvestri; Ivan Serina; Riccardo Leonardi (KES, 2022)

On the Use of Width-Based Search for Multi Agent Privacy-Preserving Planning (Extended Abstract). - Alfonso Emilio Gerevini; Nir Lipovetzky; Francesco Percassi; Alessandro Saetti; Ivan Serina (SOCS, 2022)

Goal Recognition as a Deep Learning Task: the GRNet Approach. - Mattia Chiari; Alfonso Emilio Gerevini; Luca Putelli; Francesco Percassi; Ivan Serina (CoRR, 2022)

A Performance Comparison of Different Cloud-Based Natural Language Understanding Services for an Italian e-Learning Platform. - Matteo Zubani; Luca Sigalini; Ivan Serina; Luca Putelli; Alfonso Emilio Gerevini; Mattia Chiari (Future Internet, 2022)

Goal Recognition with Deep Learning and Embedded Representation of State Traces. - Mattia Chiari; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (IPS-RCRA-SPIRIT@AI*IA, 2023)

Supervised Bias Detection in Transformers-based Language Models (Short paper). - Michele Dusi; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (DC@AI*IA, 2023)

Falsification of Cyber-Physical Systems Using PDDL+ Planning. - Diego Aineto; Enrico Scala; Eva Onaindia; Ivan Serina (ICAPS, 2023)

Goal Recognition as a Deep Learning Task: The GRNet Approach. - Mattia Chiari; Alfonso Emilio Gerevini; Francesco Percassi; Luca Putelli; Ivan Serina; Matteo Olivato (ICAPS, 2023)

Action-Failure Resilient Planning. - Diego Aineto; Alessandro Gaudenzi; Alfonso Gerevini; Alberto Rovetta; Enrico Scala; Ivan Serina (ECAI, 2023)

Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling. - Nicholas Rossetti; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Mattia Chiari; Ivan Serina; Davide Minisci; Emanuele Foca (KES, 2023)

LLM-based Approaches for Automatic Ticket Assignment: A Real-world Italian Application. - Nicola Arici; Luca Putelli; Alfonso Emilio Gerevini; Luca Sigalini; Ivan Serina (NL4AI@AI*IA, 2023)

Machine Learning Techniques for Prognosis Estimation and Knowledge Discovery From Lab Test Results With Application to the COVID-19 Emergency. - Alfonso Emilio Gerevini; Roberto Maroldi; Matteo Olivato; Luca Putelli; Ivan Serina (IEEE Access, 2023)

Real-World Implementation and Integration of an Automatic Scoring System for Workplace Safety Courses in Italian. - Nicola Arici; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Luca Sigalini; Ivan Serina (Future Internet, 2023)

Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies. - Alfonso Emilio Gerevini; Alessandro Saetti; Ivan Serina; Andrea Loreggia; Luca Putelli; Anna Roubícková (J. Artif. Intell. Res., 2023)

On the Use of Knowledge Transfer Techniques for Biomedical Named Entity Recognition. - Tahir Mehmood; Ivan Serina; Alberto Lavelli; Luca Putelli; Alfonso Gerevini (Future Internet, 2023)

Width-based search for multi agent privacy-preserving planning. - Alfonso Emilio Gerevini; Nir Lipovetzky; Francesco Percassi; Alessandro Saetti; Ivan Serina (Artif. Intell., 2023)

Distilling Knowledge with a Teacher's Multitask Model for Biomedical Named Entity Recognition. - Tahir Mehmood; Alfonso Emilio Gerevini; Alberto Lavelli; Matteo Olivato; Ivan Serina (Inf., 2023)

Synonyms, Antonyms and Factual Knowledge in BERT Heads. - Lorenzo Serina; Luca Putelli; Alfonso Emilio Gerevini; Ivan Serina (Future Internet, 2023)

Improving Domain-Independent Heuristic State-Space Planning via plan cost predictions. - Francesco Percassi; Alfonso Emilio Gerevini; Enrico Scala; Ivan Serina; Mauro Vallati (J. Exp. Theor. Artif. Intell., 2023)

Learning Heuristics with Graph Neural Networks for Numeric Planning: A Preliminary Study (Short paper). - Valerio Borrelli; Alfonso Emilio Gerevini; Enrico Scala; Ivan Serina (DC@AI*IA, 2024)

Integrating Classical Planners with GPT-Based Planning Policies. - Massimiliano Tummolo; Nicholas Rossetti; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Ivan Serina (AI*IA, 2024)

Fast and Slow Goal Recognition. - Mattia Chiari; Alfonso Emilio Gerevini; Andrea Loreggia; Luca Putelli; Ivan Serina (AAMAS, 2024)

Learning General Policies for Planning through GPT Models. - Nicholas Rossetti; Massimiliano Tummolo; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina; Mattia Chiari; Matteo Olivato (ICAPS, 2024)

Enhancing GPT-Based Planning Policies by Model-Based Plan Validation. - Nicholas Rossetti; Massimiliano Tummolo; Alfonso Emilio Gerevini; Matteo Olivato; Luca Putelli; Ivan Serina (NeSy (2), 2024)

Deep Learning for Land Cover Segmentation in Agricultural Regions Using Aerial Datasets. - Girma Tariku; Isabella Ghiglieno; Anna Simonetto; Gianni Gilioli; Ivan Serina (AI4CC-IPS-RCRA-SPIRIT@AI*IA, 2024)

An Analysis on How Pre-Trained Language Models Learn Different Aspects. - Ejdis Gjinika; Nicola Arici; Luca Putelli; Alfonso Emilio Gerevini; Ivan Serina (XAI.it@AI*IA, 2024)

Discrimination Bias Detection Through Categorical Association in Pre-Trained Language Models. - Michele Dusi; Nicola Arici; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (IEEE Access, 2024)

Language Models for Hierarchical Classification of Radiology Reports With Attention Mechanisms, BERT, and GPT-4. - Matteo Olivato; Luca Putelli; Nicola Arici; Alfonso Emilio Gerevini; Alberto Lavelli; Ivan Serina (IEEE Access, 2024)

Towards Efficient Online Goal Recognition through Deep Learning. - Lorenzo Serina; Mattia Chiari; Alfonso Emilio Gerevini; Luca Putelli; Ivan Serina (AAMAS, 2025)

Unified Planning: Modeling, manipulating and solving AI planning problems in Python. - Andrea Micheli; Arthur Bit-Monnot; Gabriele Röger; Enrico Scala; Alessandro Valentini 001; Luca Framba; Alberto Rovetta; Alessandro Trapasso; Luigi Bonassi; Alfonso Emilio Gerevini; Luca Iocchi; Félix Ingrand; et al. (SoftwareX, 2025)