Federico Bianchi

109 papers A* 10A 4B 1Misc 1Journal 57Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Sorry, I Didn't Catch That": How Speech Models Miss What Matters Most. CoRR Kaitlyn Zhou, Martijn Bartelds, Federico Bianchi, James Zou
2026	J	`jnl`	DSGym: A Holistic Framework for Evaluating and Training Data Science Agents. CoRR Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou
2026	—	`conf`	Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory. EACL (Volume 1: Long Papers) Mirac Suzgun, Mert Yüksekgönül, Federico Bianchi, Dan Jurafsky, James Zou
2026	J	`jnl`	Learning to Discover at Test Time. CoRR Mert Yüksekgönül, Daniel Koceja, Xinhao Li, Federico Bianchi, Jed McCaleb, Xiaolong Wang, Jan Kautz, Yejin Choi, James Zou, Carlos Guestrin, Yu Sun
2026	J	`jnl`	Making Databases Faster with LLM Evolutionary Sampling. CoRR Mehmet Hamza Erol, Xiangpeng Hao, Federico Bianchi, Ciro Greco, Jacopo Tagliabue, James Zou
2025	J	`jnl`	Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory. CoRR Mirac Suzgun, Mert Yüksekgönül, Federico Bianchi, Dan Jurafsky, James Zou
2025	J	`jnl`	Exploring the use of AI authors and reviewers at Agents4Science. CoRR Federico Bianchi, Owen Queen, Nitya Thakkar, Eric Sun, James Y. Zou
2025	J	`jnl`	Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects. CoRR Isabel O. Gallegos, Chen Shani, Weiyan Shi, Federico Bianchi, Izzy Gainsburg, Dan Jurafsky, Robb Willer
2025	J	`jnl`	Optimizing generative AI by backpropagating language model feedback. Nat. Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Pan Lu, Zhi Huang, Carlos Guestrin, James Zou
2025	J	`jnl`	ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning. CoRR Yongchan Kwon, Shang Zhu, Federico Bianchi, Kaitlyn Zhou, James Zou
2025	J	`jnl`	To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis. CoRR Federico Bianchi, Yongchan Kwon, Zachary Izzo, Linjun Zhang, James Zou
2025	J	`jnl`	Trustworthy AI in the Agentic Lakehouse: from Concurrency to Governance. CoRR Jacopo Tagliabue, Federico Bianchi, Ciro Greco
2025	A*	`conf`	h4rm3l: A Language for Composable Jailbreak Attack Synthesis. ICLR Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher D. Manning
2024	J	`jnl`	Author Correction: A challenge for rounded evaluation of recommender systems. Nat. Mac. Intell. Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
2024	J	`jnl`	Belief in the Machine: Investigating Epistemological Blind Spots of Language Models. CoRR Mirac Suzgun, Tayfun Gur, Federico Bianchi, Daniel E. Ho, Thomas Icard, Dan Jurafsky, James Zou
2024	A*	`conf`	How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. ICML Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou
2024	J	`jnl`	How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. CoRR Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou
2024	J	`jnl`	Large Language Models are Vulnerable to Bait-and-Switch Attacks for Generating Harmful Content. CoRR Federico Bianchi, James Zou
2024	A*	`conf`	Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. ICLR Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
2024	J	`jnl`	TextGrad: Automatic "Differentiation" via Text. CoRR Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang, Carlos Guestrin, James Zou
2024	—	`conf`	XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. NAACL-HLT Paul Röttger, Hannah Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy
2024	J	`jnl`	h4rm3l: A Dynamic Benchmark of Composable Jailbreak Attacks for LLM Safety Assessment. CoRR Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher D. Manning
2023	J	`jnl`	A challenge for rounded evaluation of recommender systems. Nat. Mac. Intell. Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
2023	A	`conf`	Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. WSDM Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
2023	—	`conf`	Contrastive Language-Image Pre-training for the Italian Language. CLiC-it Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Dario Balestri
2023	J	`jnl`	E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems. CoRR Patrick John Chia, Giuseppe Attanasio, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain
2023	—	`conf`	Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
2023	J	`jnl`	EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments. CoRR Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue
2023	A*	`conf`	EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments. KDD Federico Bianchi, Patrick John Chia, Jacopo Tagliabue, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Claudio Pomo
2023	—	`ch.`	Gender and Age Bias in Commercial Machine Translation. Towards Responsible Machine Translation Federico Bianchi, Tommaso Fornaciari, Dirk Hovy, Debora Nozza
2023	—	`ed.`	Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), Long Beach,CA, USA, August 7, 2023. EvalRS@KDD Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue
2023	J	`jnl`	Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
2023	J	`jnl`	Viewpoint: Artificial Intelligence Accidents Waiting to Happen? J. Artif. Intell. Res. Federico Bianchi, Amanda Cercas Curry, Dirk Hovy
2023	A*	`conf`	When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? ICLR Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
2023	J	`jnl`	XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. CoRR Paul Röttger, Hannah Rose Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy
2022	J	`jnl`	"Does it come in black?" CLIP-like models are zero-shot recommenders. CoRR Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Diogo Gonçalves
2022	A*	`conf`	"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online. EMNLP Federico Bianchi, Stefanie Anja Hills, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
2022	J	`jnl`	"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online. CoRR Federico Bianchi, Stefanie Anja Hills, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
2022	J	`jnl`	Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. CoRR Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
2022	—	`conf`	Beyond NDCG: Behavioral Testing of Recommender Systems with RecList. WWW (Companion Volume) Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko
2022	A*	`conf`	Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. EMNLP Paul Röttger, Debora Nozza, Federico Bianchi, Dirk Hovy
2022	J	`jnl`	Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. CoRR Paul Röttger, Debora Nozza, Federico Bianchi, Dirk Hovy
2022	J	`jnl`	Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
2022	J	`jnl`	EvalRS: a Rounded Evaluation of Recommender Systems. CoRR Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
2022	—	`conf`	EvalRS: a rounded evaluation of recommender systems. CIKM Workshops Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
2022	J	`jnl`	FashionCLIP: Connecting Language and Images for Product Representations. CoRR Patrick John Chia, Giuseppe Attanasio, Federico Bianchi, Silvia Terragni, Ana Rita Magalhães, Diogo Gonçalves, Ciro Greco, Jacopo Tagliabue
2022	J	`jnl`	Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training. CoRR Giuseppe Attanasio, Debora Nozza, Federico Bianchi, Dirk Hovy
2022	—	`conf`	Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals. LT-EDI Debora Nozza, Federico Bianchi, Anne Lauscher, Dirk Hovy
2022	—	`conf`	MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities. SemEval@NAACL Giuseppe Attanasio, Debora Nozza, Federico Bianchi
2022	J	`jnl`	ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds. CoRR Tommaso Fornaciari, Dirk Hovy, Federico Bianchi
2022	A*	`conf`	SocioProbe: What, When, and Where Language Models Learn about Sociodemographics. EMNLP Anne Lauscher, Federico Bianchi, Samuel R. Bowman, Dirk Hovy
2022	J	`jnl`	SocioProbe: What, When, and Where Language Models Learn about Sociodemographics. CoRR Anne Lauscher, Federico Bianchi, Samuel R. Bowman, Dirk Hovy
2022	—	`conf`	Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data. EMNLP (Demos) Federico Bianchi, Vincenzo Cutrona, Dirk Hovy
2022	J	`jnl`	Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data. CoRR Federico Bianchi, Vincenzo Cutrona, Dirk Hovy
2022	J	`jnl`	When and why vision-language models behave like bags-of-words, and what to do about it? CoRR Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
2022	—	`conf`	XLM-EMO: Multilingual Emotion Prediction in Social Media Text. WASSA@ACL Federico Bianchi, Debora Nozza, Dirk Hovy
2021	A	`conf`	BERTective: Language Models and Contextual Information for Deception Detection. EACL Tommaso Fornaciari, Federico Bianchi, Massimo Poesio, Dirk Hovy
2021	J	`jnl`	Beyond NDCG: behavioral testing of recommender systems with RecList. CoRR Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko
2021	J	`jnl`	Contrastive Language-Image Pre-training for the Italian Language. CoRR Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Sri Lakshmi
2021	A	`conf`	Cross-lingual Contextualized Topic Models with Zero-shot Learning. EACL Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini
2021	—	`conf`	FEEL-IT: Emotion and Sentiment Classification for the Italian Language. WASSA@EACL Federico Bianchi, Debora Nozza, Dirk Hovy
2021	—	`conf`	HONEST: Measuring Hurtful Sentence Completion in Language Models. NAACL-HLT Debora Nozza, Federico Bianchi, Dirk Hovy
2021	J	`jnl`	Language Invariant Properties in Natural Language Processing. CoRR Federico Bianchi, Debora Nozza, Dirk Hovy
2021	—	`conf`	Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. NAACL-HLT Federico Bianchi, Ciro Greco, Jacopo Tagliabue
2021	J	`jnl`	Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. CoRR Federico Bianchi, Ciro Greco, Jacopo Tagliabue
2021	—	`ch.`	Logic Tensor Networks: Theory and Applications. Neuro-Symbolic Artificial Intelligence Luciano Serafini, Artur S. d'Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi
2021	—	`conf`	MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? WASSA@EACL Tommaso Fornaciari, Federico Bianchi, Debora Nozza, Dirk Hovy
2021	Misc	`conf`	NEST: Neural Soft Type Constraints to Improve Entity Linking in Tables. SEMANTiCS Vincenzo Cutrona, Gianluca Puleri, Federico Bianchi, Matteo Palmonari
2021	—	`conf`	Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Aaron Eberhart, Derek Doran, HyeongSik Kim, Pascal Hitzler
2021	—	`conf`	On the Gap between Adoption and Understanding in NLP. ACL/IJCNLP (Findings) Federico Bianchi, Dirk Hovy
2021	—	`conf`	Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. ACL/IJCNLP (2) Federico Bianchi, Silvia Terragni, Dirk Hovy
2021	J	`jnl`	Query2Prod2Vec Grounded Word Embeddings for eCommerce. CoRR Federico Bianchi, Jacopo Tagliabue, Bingqing Yu
2021	—	`conf`	Query2Prod2Vec: Grounded Word Embeddings for eCommerce. NAACL-HLT (Industry Papers) Federico Bianchi, Jacopo Tagliabue, Bingqing Yu
2021	J	`jnl`	SIGIR 2021 E-Commerce Workshop Data Challenge. CoRR Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Bingqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani
2021	—	`conf`	SWEAT: Scoring Polarization of Topics across Different Corpora. EMNLP (1) Federico Bianchi, Marco Marelli, Paolo Nicoli, Matteo Palmonari
2021	J	`jnl`	SWEAT: Scoring Polarization of Topics across Different Corpora. CoRR Federico Bianchi, Marco Marelli, Paolo Nicoli, Matteo Palmonari
2021	J	`jnl`	Towards bridging the neuro-symbolic gap: deep deductive reasoners. Appl. Intell. Monireh Ebrahimi, Aaron Eberhart, Federico Bianchi, Pascal Hitzler
2021	—	`conf`	Universal Joy A Data Set and Results for Classifying Emotions Across Languages. WASSA@EACL Sotiris Lamprinidis, Federico Bianchi, Daniel Hardt, Dirk Hovy
2021	J	`jnl`	Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings. Cogn. Sci. Giovanni Cassani, Federico Bianchi, Marco Marelli
2020	—	`conf`	"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. WWW (Companion Volume) Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi
2020	J	`jnl`	"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. CoRR Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi
2020	A*	`conf`	"You Sound Just Like Your Father" Commercial Machine Translation Systems Include Stylistic Biases. ACL Dirk Hovy, Federico Bianchi, Tommaso Fornaciari
2020	J	`jnl`	BERT Goes Shopping: Comparing Distributional Models for Product Representations. CoRR Federico Bianchi, Bingqing Yu, Jacopo Tagliabue
2020	J	`jnl`	Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora. CoRR Federico Bianchi, Valerio Di Carlo, Paolo Nicoli, Matteo Palmonari
2020	—	`—`	Corpus-based Comparison of Distributional Models of Language and Knowledge Graphs. Federico Bianchi
2020	J	`jnl`	Cross-lingual Contextualized Topic Models with Zero-shot Learning. CoRR Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini
2020	J	`jnl`	Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario. CoRR Federico Bianchi, Jacopo Tagliabue, Bingqing Yu, Luca Bigon, Ciro Greco
2020	J	`jnl`	Knowledge Graph Embeddings and Explainable AI. CoRR Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini
2020	—	`ch.`	Knowledge Graph Embeddings and Explainable AI. Knowledge Graphs for eXplainable Artificial Intelligence Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini
2020	J	`jnl`	Neural-symbolic integration and the Semantic Web. Semantic Web Pascal Hitzler, Federico Bianchi, Monireh Ebrahimi, Md. Kamruzzaman Sarker
2020	J	`jnl`	Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. CoRR Federico Bianchi, Silvia Terragni, Dirk Hovy
2020	A	`conf`	The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference. RecSys Jacopo Tagliabue, Bingqing Yu, Federico Bianchi
2020	—	`conf`	Tough Tables: Carefully Evaluating Entity Linking for Tabular Data. ISWC (2) Vincenzo Cutrona, Federico Bianchi, Ernesto Jiménez-Ruiz, Matteo Palmonari
2020	—	`conf`	UNIMIB @ DIACR-Ita: Aligning Distributional Embeddings with a Compass for Semantic Change Detection in the Italian Language (short paper). EVALITA Federico Belotti, Federico Bianchi, Matteo Palmonari
2020	J	`jnl`	What the [MASK]? Making Sense of Language-Specific BERT Models. CoRR Debora Nozza, Federico Bianchi, Dirk Hovy
2019	B	`conf`	Complementing Logical Reasoning with Sub-symbolic Commonsense. RuleML+RR Federico Bianchi, Matteo Palmonari, Pascal Hitzler, Luciano Serafini
2019	J	`jnl`	Experimental neural network enhanced quantum tomography. CoRR Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob D. Biamonte, Sergei Kulik
2019	—	`conf`	Mapping Lexical Knowledge to Distributed Models for Ontology Concept Invention. AI*IA Manuel Vimercati, Federico Bianchi, Mauricio Soto Gomez, Matteo Palmonari
2019	—	`conf`	On the Capabilities of Logic Tensor Networks for Deductive Reasoning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Federico Bianchi, Pascal Hitzler
2019	J	`jnl`	On the composition and recommendation of multi-feature paths: a comprehensive approach. GeoInformatica Vincenzo Cutrona, Federico Bianchi, Michele Ciavotta, Andrea Maurino
2019	—	`conf`	Supporting Journalism by Combining Neural Language Generation and Knowledge Graphs. CLiC-it Marco Cremaschi, Federico Bianchi, Andrea Maurino, Andrea Primo Pierotti
2019	A*	`conf`	Training Temporal Word Embeddings with a Compass. AAAI Valerio Di Carlo, Federico Bianchi, Matteo Palmonari
2019	J	`jnl`	Training Temporal Word Embeddings with a Compass. CoRR Valerio Di Carlo, Federico Bianchi, Matteo Palmonari
2018	J	`jnl`	Reasoning over RDF Knowledge Bases using Deep Learning. CoRR Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Derek Doran, Pascal Hitzler
2018	—	`conf`	Towards Encoding Time in Text-Based Entity Embeddings. ISWC (1) Federico Bianchi, Matteo Palmonari, Debora Nozza
2018	—	`conf`	Type Vector Representations from Text: An Empirical Analysis. DL4KGS@ESWC Federico Bianchi, Mauricio Soto Gomez, Matteo Palmonari, Vincenzo Cutrona
2017	—	`conf`	Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs. ESWC (1) Federico Bianchi, Matteo Palmonari, Marco Cremaschi, Elisabetta Fersini
2017	—	`conf`	Joint Learning of Entity and Type Embeddings for Analogical Reasoning with Entities. NL4AI@AI*IA Federico Bianchi, Matteo Palmonari
2015	—	`conf`	DaCENA: Serendipitous News Reading with Data Contexts. ESWC (Satellite Events) Matteo Palmonari, Giorgio Uboldi, Marco Cremaschi, Daniele Ciminieri, Federico Bianchi