Knowledge Discovery in Data Warehouses. - Themistoklis Palpanas (SIGMOD Rec., 2000)

Entropy Based Approximate Querying and Exploration of Datacubes. - Themistoklis Palpanas; Nick Koudas (SSDBM, 2001)

Incremental Maintenance for Non-Distributive Aggregate Functions. - Themistoklis Palpanas; Richard Sidle; Roberta Cochrane; Hamid Pirahesh (VLDB, 2002)

Ranked Join Indices. - Panayiotis Tsaparas; Themistoklis Palpanas; Yannis Kotidis; Nick Koudas; Divesh Srivastava (ICDE, 2003)

Space Constrained Selection Problems for Data Warehouses and Pervasive Computing. - Themistoklis Palpanas; Nick Koudas; Alberto O. Mendelzon (SSDBM, 2003)

Distributed deviation detection in sensor networks. - Themistoklis Palpanas; Dimitris Papadopoulos; Vana Kalogeraki; Dimitrios Gunopulos (SIGMOD Rec., 2003)

Data reduction in data warehouses. - Themis Palpanas (2003)

Online Amnesic Approximation of Streaming Time Series. - Themistoklis Palpanas; Michail Vlachos; Eamonn J. Keogh; Dimitrios Gunopulos; Wagner Truppel (ICDE, 2004)

Indexing Large Human-Motion Databases. - Eamonn J. Keogh; Themis Palpanas; Victor B. Zordan; Dimitrios Gunopulos; Marc Cardle (VLDB, 2004)

Using Datacube Aggregates for Approximate Querying and Deviation Detection. - Themis Palpanas; Nick Koudas; Alberto O. Mendelzon (IEEE Trans. Knowl. Data Eng., 2005)

Maximizing the sustained throughput of distributed continuous queries. - Ioana Stanoi; George A. Mihaila; Themis Palpanas; Christian A. Lang (CIKM, 2006)

Model-Driven Dashboards for Business Performance Reporting. - Pawan Chowdhary; Themis Palpanas; Florian Pinel; Shyh-Kwei Chen; Frederick Y. Wu (EDOC, 2006)

Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks. - Sharmila Subramaniam; Vana Kalogeraki; Themis Palpanas (RTSS, 2006)

Online Outlier Detection in Sensor Data Using Non-Parametric Models. - Sharmila Subramaniam; Themis Palpanas; Dimitris Papadopoulos; Vana Kalogeraki; Dimitrios Gunopulos (VLDB, 2006)

Online Distribution Estimation for Streaming Data: Framework and Applications. - Themis Palpanas; Vana Kalogeraki; Dimitrios Gunopulos (SEBD, 2007)

Integrated model-driven dashboard development. - Themis Palpanas; Pawan Chowdhary; George A. Mihaila; Florian Pinel (Inf. Syst. Frontiers, 2007)

WhiteWater: Distributed Processing of Fast Streams. - Ioana Stanoi; George A. Mihaila; Themis Palpanas; Christian A. Lang (IEEE Trans. Knowl. Data Eng., 2007)

Knowledge Mining for the Business Analyst. - Themis Palpanas; Jakka Sairamesh (DEXA, 2008)

Entity Data Management in OKKAM. - Themis Palpanas; Junaid Ahsenali Chaudhry; Periklis Andritsos; Yannis Velegrakis (DEXA Workshops, 2008)

Entity Lifecycle Management for OKKAM. - Junaid Ahsenali Chaudhry; Themis Palpanas; Periklis Andritsos; Antonio Maña (IRSW, 2008)

Enabling Better Decisions through Quality-Aware Reports in Business Intelligence Applications. - Florian Daniel; Fabio Casati; Themis Palpanas; Oleksiy Chayka; Cinzia Cappiello (ICIQ, 2008)

Managing Data Quality in Business Intelligence Applications. - Florian Daniel; Fabio Casati; Themis Palpanas; Oleksiy Chayka (QDB/MUD, 2008)

Efficiently Discovering Recent Frequent Items in Data Streams. - Ferry Irawan Tantono; Nishad Manerikar; Themis Palpanas (SSDBM, 2008)

Towards a General Entity Representation Model. - Barbara Bazzanella; Junaid Ahsenali Chaudhry; Themis Palpanas; Heiko Stoermer (SWAP, 2008)

On space constrained set selection problems. - Themis Palpanas; Nick Koudas; Alberto O. Mendelzon (Data Knowl. Eng., 2008)

Streaming Time Series Summarization Using User-Defined Amnesic Functions. - Themis Palpanas; Michail Vlachos; Eamonn J. Keogh; Dimitrios Gunopulos (IEEE Trans. Knowl. Data Eng., 2008)

A Conceptual Model for a Web-Scale Entity Name System. - Paolo Bouquet; Themis Palpanas; Heiko Stoermer; Massimiliano Vignolo (ASWC, 2009)

Towards a General Entity Representation Model. - Barbara Bazzanella; Themis Palpanas; Heiko Stoermer (IRI, 2009)

Frequent items in streaming data: An experimental evaluation of the state-of-the-art. - Nishad Manerikar; Themis Palpanas (Data Knowl. Eng., 2009)

TASM: Top-k Approximate Subtree Matching. - Nikolaus Augsten; Denilson Barbosa 001; Michael H. Böhlen; Themis Palpanas (ICDE, 2010)

The Entity Name System: Enabling the web of entities. - Heiko Stoermer; Themis Palpanas; George Giannakopoulos (ICDE Workshops, 2010)

iSAX 2.0: Indexing and Mining One Billion Time Series. - Alessandro Camerra; Themis Palpanas; Jin Shieh; Eamonn J. Keogh (ICDM, 2010)

The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord. - George Giannakopoulos; Themis Palpanas (ICDM, 2010)

Scalable discovery of contradictions on the web. - Mikalai Tsytsarau; Themis Palpanas; Kerstin Denecke (WWW, 2010)

Similarity matching for uncertain time series: analytical and experimental comparison. - Michele Dallachiesa; Besmira Nushi; Katsiaryna Mirylenka; Themis Palpanas (QUeST@GIS, 2011)

Diverse Dimension Decomposition of an Itemset Space. - Mikalai Tsytsarau; Francesco Bonchi; Aristides Gionis; Themis Palpanas (ICDM, 2011)

Towards a Framework for Detecting and Managing Opinion Contradictions. - Mikalai Tsytsarau; Themis Palpanas (ICDM Workshops, 2011)

Detecting and exploiting stability in evolving heterogeneous information spaces. - George Papadakis 001; George Giannakopoulos; Claudia Niederée; Themis Palpanas; Wolfgang Nejdl (JCDL, 2011)

Eliminating the redundancy in blocking-based entity resolution methods. - George Papadakis 001; Ekaterini Ioannou; Claudia Niederée; Themis Palpanas; Wolfgang Nejdl (JCDL, 2011)

To compare or not to compare: making entity resolution more efficient. - George Papadakis 001; Ekaterini Ioannou; Claudia Niederée; Themis Palpanas; Wolfgang Nejdl (SWIM, 2011)

Decentralised social network management. - Stefano Bortoli; Themis Palpanas; Paolo Bouquet (Int. J. Web Based Communities, 2011)

Efficient Top-k Approximate Subtree Matching in Small Memory. - Nikolaus Augsten; Denilson Barbosa 001; Michael H. Böhlen; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2011)

Strategic Management for Real-Time Business Intelligence. - Konstantinos Zoumpatianos; Themis Palpanas; John Mylopoulos (BIRTE, 2012)

Scalable Similarity Matching in Streaming Time Series. - Alice Marascu; Suleiman A. Khan; Themis Palpanas (PAKDD (2), 2012)

SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. - Katsiaryna Mirylenka; George Giannakopoulos; Themis Palpanas (PAKDD (1), 2012)

What does model-driven data acquisition really achieve in wireless sensor networks? - Usman Raza; Alessandro Camerra; Amy L. Murphy; Themis Palpanas; Gian Pietro Picco (PerCom, 2012)

Density-based Projected Clustering over High Dimensional Data Streams. - Irene Ntoutsi; Arthur Zimek; Themis Palpanas; Peer Kröger; Hans-Peter Kriegel (SDM, 2012)

CloudAlloc: a monitoring and reservation system for compute clusters. - Enrico Iori; Alkis Simitsis; Themis Palpanas; Kevin Wilkinson; Stavros Harizopoulos (SIGMOD Conference, 2012)

Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data. - George Papadakis 001; Ekaterini Ioannou; Claudia Niederée; Themis Palpanas; Wolfgang Nejdl (WSDM, 2012)

Survey on mining subjective data on the web. - Mikalai Tsytsarau; Themis Palpanas (Data Min. Knowl. Discov., 2012)

A knowledge mining framework for business analysts. - Themis Palpanas (Data Base, 2012)

Diverse dimension decomposition for itemset spaces. - Mikalai Tsytsarau; Francesco Bonchi; Aristides Gionis; Themis Palpanas (Knowl. Inf. Syst., 2012)

Uncertain Time-Series Similarity: Return to the Basics. - Michele Dallachiesa; Besmira Nushi; Katsiaryna Mirylenka; Themis Palpanas (Proc. VLDB Endow., 2012)

dbTrento: the data and information management group at the University of Trento. - Themis Palpanas; Yannis Velegrakis (SIGMOD Rec., 2012)

Real-Time Data Analytics in Sensor Networks. - Themis Palpanas (Managing and Mining Sensor Data, 2013)

New Trends in Databases and Information Systems: Contributions from ADBIS 2013. - Yamine Aït Ameur; Witold Andrzejewski; Ladjel Bellatreche; Barbara Catania; Tania Cerquitelli; Silvia Chiusano; Matteo Golfarelli; Giovanna Guerrini; Krzysztof Kaczmarski; Mirko Kämpf; Alfons Kemper; Tobias Lauer; et al. (ADBIS (2), 2013)

Monitoring and diagnosing indicators for business analytics. - Konstantinos Zoumpatianos; Themis Palpanas; John Mylopoulos; Alejandro Maté; Juan Trujillo 001 (CASCON, 2013)

Twindex Fuorisalone: Social Listening of Milano during Fuorisalone 2013. - Marco Balduini; Emanuele Della Valle; Daniele Dell'Aglio; Mikalai Tsytsarau; Themis Palpanas; Cristian Confalonieri (ESWC (Satellite Events), 2013)

Finding interesting correlations with conditional heavy hitters. - Katsiaryna Mirylenka; Themis Palpanas; Graham Cormode; Divesh Srivastava (ICDE, 2013)

Social Listening of City Scale Events Using the Streaming Linked Data Framework. - Marco Balduini; Emanuele Della Valle; Daniele Dell'Aglio; Mikalai Tsytsarau; Themis Palpanas; Cristian Confalonieri (ISWC (2), 2013)

Efficient sentiment correlation for large-scale demographics. - Mikalai Tsytsarau; Sihem Amer-Yahia; Themis Palpanas (SIGMOD Conference, 2013)

Identifying streaming frequent items in ad hoc time windows. - Michele Dallachiesa; Themis Palpanas (Data Knowl. Eng., 2013)

Entity ranking using click-log information. - Davide Mottin; Themis Palpanas; Yannis Velegrakis (Intell. Data Anal., 2013)

Revisiting the effect of history on learning performance: the problem of the demanding lord. - George Giannakopoulos; Themis Palpanas (Knowl. Inf. Syst., 2013)

A Probabilistic Optimization Framework for the Empty-Answer Problem. - Davide Mottin; Alice Marascu; Senjuti Basu Roy; Gautam Das 001; Themis Palpanas; Yannis Velegrakis (Proc. VLDB Endow., 2013)

Front Matter. - Themis Palpanas; Yannis Velegrakis (Proc. VLDB Endow., 2013)

Towards mega-modeling: a walk through data analysis experiences. - Stefano Ceri; Themis Palpanas; Emanuele Della Valle; Dino Pedreschi; Johann-Christoph Freytag; Roberto Trasarti (SIGMOD Rec., 2013)

A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces. - George Papadakis 001; Ekaterini Ioannou; Themis Palpanas; Claudia Niederée; Wolfgang Nejdl (IEEE Trans. Knowl. Data Eng., 2013)

A systematic approach for dynamic targeted monitoring of KPIs. - Alejandro Maté; Kostas Zoumpatianos; Themis Palpanas; Juan Trujillo 001; John Mylopoulos; Elvis Koci (CASCON, 2014)

Dynamics of news events and social media reaction. - Mikalai Tsytsarau; Themis Palpanas; Malú Castellanos (KDD, 2014)

A Case Study of Active, Continuous and Predictive Social Media Analytics for Smart City. - Marco Balduini; Stefano Bocconi; Alessandro Bozzon; Emanuele Della Valle; Yi Huang 002; Jasper Oosterman; Themis Palpanas; Mikalai Tsytsarau (S4SC@ISWC, 2014)

Searching with XQ: the exemplar query search engine. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (SIGMOD Conference, 2014)

IQR: an interactive query relaxation system for the empty-answer problem. - Davide Mottin; Alice Marascu; Senjuti Basu Roy; Gautam Das 001; Themis Palpanas; Yannis Velegrakis (SIGMOD Conference, 2014)

Indexing for interactive exploration of big data series. - Kostas Zoumpatianos; Stratos Idreos; Themis Palpanas (SIGMOD Conference, 2014)

Node classification in uncertain graphs. - Michele Dallachiesa; Charu C. Aggarwal; Themis Palpanas (SSDBM, 2014)

Beyond one billion time series: indexing and mining very large time series collections with i SAX2+. - Alessandro Camerra; Jin Shieh; Themis Palpanas; Thanawin Rakthanmanon; Eamonn J. Keogh (Knowl. Inf. Syst., 2014)

Top-k Nearest Neighbor Search In Uncertain Data Series. - Michele Dallachiesa; Themis Palpanas; Ihab F. Ilyas (Proc. VLDB Endow., 2014)

Exemplar Queries: Give me an Example of What You Need. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (Proc. VLDB Endow., 2014)

Unleashing the Power of Information Graphs. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Dimitra Papadimitriou; Yannis Velegrakis (SIGMOD Rec., 2014)

Meta-Blocking: Taking Entity Resolutionto the Next Level. - George Papadakis 001; Georgia Koutrika; Themis Palpanas; Wolfgang Nejdl (IEEE Trans. Knowl. Data Eng., 2014)

Fine-Grained Geolocalisation of Non-Geotagged Tweets. - Pavlos Paraskevopoulos; Themis Palpanas (ASONAM, 2015)

Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data. - Vasilis Efthymiou; George Papadakis 001; George Papastefanatos; Kostas Stefanidis; Themis Palpanas (IEEE BigData, 2015)

Query Workloads for Data Series Indexes. - Kostas Zoumpatianos; Yin Lou; Themis Palpanas; Johannes Gehrke (KDD, 2015)

Sliding windows over uncertain data streams. - Michele Dallachiesa; Gabriela Jacques-Silva; Bugra Gedik; Kun-Lung Wu; Themis Palpanas (Knowl. Inf. Syst., 2015)

RINSE: Interactive Data Series Exploration with ADS+. - Kostas Zoumpatianos; Stratos Idreos; Themis Palpanas (Proc. VLDB Endow., 2015)

Report on the First International Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014). - Vassilis Christophides; Themis Palpanas (SIGMOD Rec., 2015)

Data Series Management: The Road to Big Sequence Analytics. - Themis Palpanas (SIGMOD Rec., 2015)

Practical Data Prediction for Real-World Wireless Sensor Networks. - Usman Raza; Alessandro Camerra; Amy L. Murphy; Themis Palpanas; Gian Pietro Picco (IEEE Trans. Knowl. Data Eng., 2015)

Conditional heavy hitters: detecting interesting correlations in data streams. - Katsiaryna Mirylenka; Graham Cormode; Themis Palpanas; Divesh Srivastava (VLDB J., 2015)

Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking. - George Papadakis 001; George Papastefanatos; Themis Palpanas; Manolis Koubarakis (EDBT, 2016)

Characterizing Home Device Usage From Wireless Traffic Time Series. - Katsiaryna Mirylenka; Vassilis Christophides; Themis Palpanas; Ioannis Pefkianakis; Martin May (EDBT, 2016)

Blocking for large-scale Entity Resolution: Challenges, algorithms, and practical examples. - George Papadakis 001; Themis Palpanas (ICDE, 2016)

Data series management: The next challenge. - Themis Palpanas (ICDE Workshops, 2016)

When a Tweet Finds its Place: Fine-Grained Tweet Geolocalisation. - Pavlos Paraskevopoulos; Giovanni Pellegrini; Themis Palpanas (SoGood@ECML-PKDD, 2016)

Big Sequence Management: A glimpse of the Past, the Present, and the Future. - Themis Palpanas (SOFSEM, 2016)

Boosting the Efficiency of Large-Scale Entity Resolution with Enhanced Meta-Blocking. - George Papadakis 001; George Papastefanatos; Themis Palpanas; Manolis Koubarakis (Big Data Res., 2016)

Error-tolerant Exemplar Queries on RDF Graphs. - Zhaoyang Shao; Davood Rafiei; Themis Palpanas (CoRR, 2016)

Linguistic rough sets. - Manish Agarwal; Themis Palpanas (Int. J. Mach. Learn. Cybern., 2016)

Comparative Analysis of Approximate Blocking Techniques for Entity Resolution. - George Papadakis 001; Jonathan Svirsky; Avigdor Gal; Themis Palpanas (Proc. VLDB Endow., 2016)

Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets. - Pavlos Paraskevopoulos; Themis Palpanas (Soc. Netw. Anal. Min., 2016)

Managing Diverse Sentiments at Large Scale. - Mikalai Tsytsarau; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2016)

Exemplar queries: a new way of searching. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (VLDB J., 2016)

A holistic and principled approach for the empty-answer problem. - Davide Mottin; Alice Marascu; Senjuti Basu Roy; Gautam Das 001; Themis Palpanas; Yannis Velegrakis (VLDB J., 2016)

ADS: the adaptive data series index. - Kostas Zoumpatianos; Stratos Idreos; Themis Palpanas (VLDB J., 2016)

Correlation-Aware Distance Measures for Data Series. - Katsiaryna Mirylenka; Michele Dallachiesa; Themis Palpanas (EDBT, 2017)

JedAI: The Force Behind Entity Resolution. - George Papadakis 001; Leonidas Tsekouras; Emmanouil Thanos; George Giannakopoulos; Themis Palpanas; Manolis Koubarakis (ESWC (Satellite Events), 2017)

Multi-core Meta-blocking for Big Linked Data. - George Papadakis 001; Konstantina Bereta; Themis Palpanas; Manolis Koubarakis (SEMANTiCS, 2017)

TweeLoc: A System for Geolocalizing Tweets at Fine-Grain. - Pavlos Paraskevopoulos; Giovanni Pellegrini; Themis Palpanas (ICDM Workshops, 2017)

DPiSAX: Massively Distributed Partitioned iSAX. - Djamel Edine Yagoubi; Reza Akbarinia; Florent Masseglia; Themis Palpanas (ICDM, 2017)

The Parallel and Distributed Future of Data Series Mining. - Themis Palpanas (HPCS, 2017)

Data Series Similarity Using Correlation-Aware Measures. - Katsiaryna Mirylenka; Michele Dallachiesa; Themis Palpanas (SSDBM, 2017)

What do Geotagged Tweets Reveal About Mobility Behavior? - Pavlos Paraskevopoulos; Themis Palpanas (MATES@VLDB, 2017)

On classifier behavior in the presence of mislabeling noise. - Katsiaryna Mirylenka; George Giannakopoulos; Le Minh Do; Themis Palpanas (Data Min. Knowl. Discov., 2017)

Parallel meta-blocking for scaling entity resolution over big heterogeneous data. - Vasilis Efthymiou; George Papadakis 001; George Papastefanatos; Kostas Stefanidis; Themis Palpanas (Inf. Syst., 2017)

New Trends on Exploratory Methods for Data Analytics. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (Proc. VLDB Endow., 2017)

ParIS: The Next Destination for Fast Data Series Indexing and Query Answering. - Botao Peng; Panagiota Fatourou; Themis Palpanas (IEEE BigData, 2018)

An Automated System for Internet Pharmacy Verification. - Alberto Cordioli; Themis Palpanas (EDBT, 2018)

ULISSE: ULtra Compact Index for Variable-Length Similarity Search in Data Series. - Michele Linardi; Themis Palpanas (ICDE, 2018)

Multi-Example Search in Rich Information Graphs. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (ICDE, 2018)

Data Series Management: Fulfilling the Need for Big Sequence Analytics. - Kostas Zoumpatianos; Themis Palpanas (ICDE, 2018)

Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series. - Michele Linardi; Yan Zhu 014; Themis Palpanas; Eamonn J. Keogh (SIGMOD Conference, 2018)

VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. - Michele Linardi; Yan Zhu 014; Themis Palpanas; Eamonn J. Keogh (SIGMOD Conference, 2018)

Progressive Data Science: Potential and Challenges. - Cagatay Turkay; Nicola Pezzotti; Carsten Binnig; Hendrik Strobelt; Barbara Hammer; Daniel A. Keim; Jean-Daniel Fekete; Themis Palpanas; Yunhai Wang; Florin Rusu (CoRR, 2018)

The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas; Houda Benbrahim (Proc. VLDB Endow., 2018)

Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes. - Haridimos Kondylakis; Niv Dayan; Kostas Zoumpatianos; Themis Palpanas (Proc. VLDB Endow., 2018)

Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach. - Michele Linardi; Themis Palpanas (Proc. VLDB Endow., 2018)

X2Q: Your Personal Example-based Graph Explorer. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (Proc. VLDB Endow., 2018)

The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data. - George Papadakis 001; Leonidas Tsekouras; Emmanouil Thanos; George Giannakopoulos; Themis Palpanas; Manolis Koubarakis (Proc. VLDB Endow., 2018)

Generating data series query workloads. - Kostas Zoumpatianos; Yin Lou; Ioana Ileana; Themis Palpanas; Johannes Gehrke (VLDB J., 2018)

Temporal Analytics in Social Media. - Sihem Amer-Yahia; Themis Palpanas; Mikalai Tsytsarau; Sofia Kleisarchaki; Ahlame Douzal; Vassilis Christophides (Encyclopedia of Database Systems (2nd ed.), 2018)

Rank-Join Indices. - Themis Palpanas; Panayiotis Tsaparas (Encyclopedia of Database Systems (2nd ed.), 2018)

Data Exploration Using Example-Based Methods - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (Morgan & Claypool Publishers, 2018)

Progressive Similarity Search on Time Series Data. - Anna Gogolou; Theophanis Tsandilas; Themis Palpanas; Anastasia Bezerianos (EDBT/ICDT Workshops, 2019)

Local Similarity Search on Geolocated Time Series Using Hybrid Indexing. - Georgios Chatzigeorgakidis; Dimitrios Skoutas 001; Kostas Patroumpas; Themis Palpanas; Spiros Athanasiou; Spiros Skiadopoulos (SIGSPATIAL/GIS, 2019)

Distributed Algorithms to Find Similar Time Series. - Oleksandra Levchenko; Boyan Kolev; Djamel Edine Yagoubi; Dennis E. Shasha; Themis Palpanas; Patrick Valduriez; Reza Akbarinia; Florent Masseglia (ECML/PKDD (3), 2019)

Example-based Search: a New Frontier for Exploratory Search. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (SIGIR, 2019)

Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm. - Haridimos Kondylakis; Niv Dayan; Kostas Zoumpatianos; Themis Palpanas (SIGMOD Conference, 2019)

Exploring the Data Wilderness through Examples. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (SIGMOD Conference, 2019)

Local Pair and Bundle Discovery over Co-Evolving Time Series. - Georgios Chatzigeorgakidis; Dimitrios Skoutas 001; Kostas Patroumpas; Themis Palpanas; Spiros Athanasiou; Spiros Skiadopoulos (SSTD, 2019)

A Survey of Blocking and Filtering Techniques for Entity Resolution. - George Papadakis 001; Dimitrios Skoutas 001; Emmanouil Thanos; Themis Palpanas (CoRR, 2019)

Schema-agnostic Progressive Entity Resolution (extended version). - Giovanni Simonini; George Papadakis 001; Themis Palpanas; Sonia Bergamaschi (CoRR, 2019)

End-to-End Entity Resolution for Big Data: A Survey. - Vassilis Christophides; Vasilis Efthymiou; Themis Palpanas; George Papadakis 001; Kostas Stefanidis (CoRR, 2019)

Data Series Management (Dagstuhl Seminar 19282). - Anthony J. Bagnall; Richard L. Cole; Themis Palpanas; Konstantinos Zoumpatianos (Dagstuhl Reports, 2019)

Improving Classification Quality in Uncertain Graphs. - Michele Dallachiesa; Charu C. Aggarwal; Themis Palpanas (ACM J. Data Inf. Qual., 2019)

Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas; Houda Benbrahim (Proc. VLDB Endow., 2019)

Report on the First and Second Interdisciplinary Time Series Analysis Workshop (ITISA). - Themis Palpanas; Volker Beckmann (SIGMOD Rec., 2019)

Domain- and Structure-Agnostic End-to-End Entity Resolution with JedAI. - George Papadakis 001; Leonidas Tsekouras; Emmanouil Thanos; George Giannakopoulos; Themis Palpanas; Manolis Koubarakis (SIGMOD Rec., 2019)

Schema-Agnostic Progressive Entity Resolution. - Giovanni Simonini; George Papadakis 001; Themis Palpanas; Sonia Bergamaschi (IEEE Trans. Knowl. Data Eng., 2019)

Comparing Similarity Perception in Time Series Visualizations. - Anna Gogolou; Theophanis Tsandilas; Themis Palpanas; Anastasia Bezerianos (IEEE Trans. Vis. Comput. Graph., 2019)

Coconut: sortable summarizations for scalable indexes over static and streaming data series. - Haridimos Kondylakis; Niv Dayan; Kostas Zoumpatianos; Themis Palpanas (VLDB J., 2019)

Entity Resolution: Past, Present and Yet-to-Come. - George Papadakis 001; Ekaterini Ioannou; Themis Palpanas (EDBT, 2020)

JedAI3 : beyond batch, blocking-based Entity Resolution. - George Papadakis 001; Leonidas Tsekouras; Emmanouil Thanos; Nikiforos Pittaras; Giovanni Simonini; Dimitrios Skoutas 001; Paul Isaris; George Giannakopoulos; Themis Palpanas; Manolis Koubarakis (EDBT, 2020)

SAD: An Unsupervised System for Subsequence Anomaly Detection. - Paul Boniol; Michele Linardi; Federico Roncallo; Themis Palpanas (ICDE, 2020)

Automated Anomaly Detection in Large Sequences. - Paul Boniol; Michele Linardi; Federico Roncallo; Themis Palpanas (ICDE, 2020)

MESSI: In-Memory Data Series Indexing. - Botao Peng; Panagiota Fatourou; Themis Palpanas (ICDE, 2020)

Data Series Progressive Similarity Search with Probabilistic Quality Guarantees. - Anna Gogolou; Theophanis Tsandilas; Karima Echihabi; Anastasia Bezerianos; Themis Palpanas (SIGMOD Conference, 2020)

Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas (WIMS, 2020)

Graph-Query Suggestions for Knowledge Graph Exploration. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (WWW, 2020)

SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality. - Wissam Maamar Kouadri; Salima Benbernou; Mourad Ouziri; Themis Palpanas; Iheb Ben Amor (CoRR, 2020)

Matrix profile goes MAD: variable-length motif and discord discovery in data series. - Michele Linardi; Yan Zhu 014; Themis Palpanas; Eamonn J. Keogh (Data Min. Knowl. Discov., 2020)

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. - Remy Kusters; Dusan Misevic; Hugues Berry; Antoine Cully; Yann Le Cunff; Loic Dandoy; Natalia Díaz Rodríguez; Marion Ficher; Jonathan Grizou; Alice Othmani; Themis Palpanas; Matthieu Komorowski; et al. (Frontiers Big Data, 2020)

Three-dimensional Entity Resolution with JedAI. - George Papadakis 001; Georgios M. Mandilaras; Luca Gagliardelli; Giovanni Simonini; Emmanouil Thanos; George Giannakopoulos; Sonia Bergamaschi; Themis Palpanas; Manolis Koubarakis (Inf. Syst., 2020)

Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. - Paul Boniol; Themis Palpanas (Proc. VLDB Endow., 2020)

GraphAn: Graph-based Subsequence Anomaly Detection. - Paul Boniol; Themis Palpanas; Mohammed Meftah; Emmanuel Remy (Proc. VLDB Endow., 2020)

Quality of Sentiment Analysis Tools: The Reasons of Inconsistency. - Wissam Maamar Kouadri; Mourad Ouziri; Salima Benbernou; Karima Echihabi; Themis Palpanas; Iheb Ben Amor (Proc. VLDB Endow., 2020)

Massively Distributed Time Series Indexing and Querying. - Djamel Edine Yagoubi; Reza Akbarinia; Florent Masseglia; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2020)

Scalable data series subsequence matching with ULISSE. - Michele Linardi; Themis Palpanas (VLDB J., 2020)

Towards Building a Digital Twin of Complex System Using Causal Modelling. - Luka Jakovljevic; Dimitre Kostadinov; Armen Aghasaryan; Themis Palpanas (COMPLEX NETWORKS, 2021)

Twin Subsequence Search in Time Series. - Georgios Chatzigeorgakidis; Dimitrios Skoutas 001; Kostas Patroumpas; Themis Palpanas; Spiros Athanasiou; Spiros Skiadopoulos (EDBT, 2021)

Big Sequence Management: Scaling up and Out. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas (EDBT, 2021)

Electricity Demand Activation Extraction: From Known to Unknown Signatures, Using Similarity Search. - Pauline Laviron; Xueqi Dai; Bérénice Huquet; Themis Palpanas (e-Energy, 2021)

SentiQ: Une approche logique-probabiliste pour améliorer la qualité de l'analyse des sentiments. - Wissam Maamar Kouadri; Salima Benbernou; Mourad Ouziri; Themis Palpanas; Iheb Ben Amor (EGC, 2021)

High-Dimensional Similarity Search for Scalable Data Science. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas (ICDE, 2021)

SING: Sequence Indexing Using GPUs. - Botao Peng; Panagiota Fatourou; Themis Palpanas (ICDE, 2021)

Deep Learning Embeddings for Data Series Similarity Search. - Qitong Wang 003; Themis Palpanas (KDD, 2021)

An Overview of End-to-End Entity Resolution for Big Data. - Vassilis Christophides; Vasilis Efthymiou; Themis Palpanas; George Papadakis 001; Kostas Stefanidis (ACM Comput. Surv., 2021)

Blocking and Filtering Techniques for Entity Resolution: A Survey. - George Papadakis 001; Dimitrios Skoutas 001; Emmanouil Thanos; Themis Palpanas (ACM Comput. Surv., 2021)

Reproducible experiments on Three-Dimensional Entity Resolution with JedAI. - Georgios M. Mandilaras; George Papadakis 001; Luca Gagliardelli; Giovanni Simonini; Emmanouil Thanos; George Giannakopoulos; Sonia Bergamaschi; Themis Palpanas; Manolis Koubarakis; Alicia Lara-Clares; Antonio Fariña (Inf. Syst., 2021)

Using social media for sub-event detection during disasters. - Loris Belcastro; Fabrizio Marozzo; Domenico Talia; Paolo Trunfio; Francesco Branda; Themis Palpanas; Muhammad Imran 002 (J. Big Data, 2021)

BestNeighbor: efficient evaluation of kNN queries on large time series databases. - Oleksandra Levchenko; Boyan Kolev; Djamel Edine Yagoubi; Reza Akbarinia; Florent Masseglia; Themis Palpanas; Dennis E. Shasha; Patrick Valduriez (Knowl. Inf. Syst., 2021)

SAND: Streaming Subsequence Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas; Michael J. Franklin (Proc. VLDB Endow., 2021)

SAND in Action: Subsequence Anomaly Detection for Streams. - Paul Boniol; John Paparrizos; Themis Palpanas; Michael J. Franklin (Proc. VLDB Endow., 2021)

New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed. - Karima Echihabi; Themis Palpanas; Kostas Zoumpatianos (Proc. VLDB Endow., 2021)

ParIS+: Data Series Indexing on Multi-Core Architectures. - Botao Peng; Panagiota Fatourou; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2021)

Unsupervised and scalable subsequence anomaly detection in large data series. - Paul Boniol; Michele Linardi; Federico Roncallo; Themis Palpanas; Mohammed Meftah; Emmanuel Remy (VLDB J., 2021)

Fast data series indexing for in-memory data. - Botao Peng; Panagiota Fatourou; Themis Palpanas (VLDB J., 2021)

The Four Generations of Entity Resolution - George Papadakis 001; Ekaterini Ioannou; Emanouil Thanos; Themis Palpanas (Morgan & Claypool Publishers, 2021)

Scalable Analytics on Large Sequence Collections. - Karima Echihabi; Themis Palpanas (MDM, 2022)

dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. - Paul Boniol; Mohammed Meftah; Emmanuel Remy; Themis Palpanas (SIGMOD Conference, 2022)

Generalized Supervised Meta-blocking (technical report). - Luca Gagliardelli; George Papadakis 001; Giovanni Simonini; Sonia Bergamaschi; Themis Palpanas (CoRR, 2022)

iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges. - Qitong Wang 003; Stephen Whitmarsh; Vincent Navarro; Themis Palpanas (Proc. VLDB Endow., 2022)

Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. - Paul Boniol; John Paparrizos; Yuhao Kang; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin (Proc. VLDB Endow., 2022)

Hercules Against Data Series Similarity Search. - Karima Echihabi; Panagiota Fatourou; Kostas Zoumpatianos; Themis Palpanas; Houda Benbrahim (Proc. VLDB Endow., 2022)

Generalized Supervised Meta-blocking. - Luca Gagliardelli; George Papadakis 001; Giovanni Simonini; Sonia Bergamaschi; Themis Palpanas (Proc. VLDB Endow., 2022)

SA-Q: Observing, Evaluating, and Enhancing the Quality of the Results of Sentiment Analysis Tools. - Wissam Mammar Kouadri; Salima Benbernou; Mourad Ouziri; Themis Palpanas; Iheb Ben Amor (Proc. VLDB Endow., 2022)

Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. - John Paparrizos; Paul Boniol; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin (Proc. VLDB Endow., 2022)

TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. - John Paparrizos; Yuhao Kang; Paul Boniol; Ruey S. Tsay; Themis Palpanas; Michael J. Franklin (Proc. VLDB Endow., 2022)

Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. - Romain Ilbert; Thai V. Hoang; Zonghua Zhang; Themis Palpanas (ARTMAN@CCS, 2023)

PrivSketch: A Private Sketch-Based Frequency Estimation Protocol for Data Streams. - Ying Li 051; Xiaodong Lee; Botao Peng; Themis Palpanas; Jing'an Xue (DEXA (1), 2023)

New Trends in Time Series Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas (EDBT, 2023)

Appliance Detection Using Very Low-Frequency Smart Meter Time Series. - Adrien Petralia; Philippe Charpentier; Paul Boniol; Themis Palpanas (e-Energy, 2023)

A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma. - Zhuxian Guo; Qitong Wang 003; Henning Müller; Themis Palpanas; Nicolas Loménie; Camille Kurtz (ISBI, 2023)

Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications. - Hanbo Zhang; Jiangxin Li; Shen Liang; Peng Wang 027; Themis Palpanas; Chen Wang 018; Wei Wang 009; Haoxuan Zhou; Jianwei Song; Wen Lu (KDD, 2023)

A general approach to Supervised Meta-Blocking. - Luca Gagliardelli; George Papadakis 001; Giovanni Simonini; Sonia Bergamaschi; Themis Palpanas (SEBD, 2023)

FreSh: A Lock-Free Data Series Index. - Panagiota Fatourou; Eleftherios Kosmas; Themis Palpanas; George Paterakis (SRDS, 2023)

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms. - George Papadakis 001; Nishadi Kirielle; Peter Christen; Themis Palpanas (CoRR, 2023)

A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma. - Zhuxian Guo; Qitong Wang 003; Henning Müller; Themis Palpanas; Nicolas Loménie; Camille Kurtz (CoRR, 2023)

Graph- and Tree-based Indexes for High-dimensional Vector Similarity Search: Analyses, Comparisons, and Future Directions. - Zeyu Wang 007; Peng Wang 027; Themis Palpanas; Wei Wang 009 (IEEE Data Eng. Bull., 2023)

Letter from the Special Issue Editor. - Themis Palpanas (IEEE Data Eng. Bull., 2023)

Dumpy: A Compact and Adaptive Index for Large Data Series Collections. - Zeyu Wang 007; Qitong Wang 003; Peng Wang 027; Themis Palpanas; Wei Wang 009 (Proc. ACM Manag. Data, 2023)

Elpis: Graph-Based Similarity Search for Scalable Data Science. - Ilias Azizi; Karima Echihabi; Themis Palpanas (Proc. VLDB Endow., 2023)

Odyssey: A Journey in the Land of Distributed Data Series Similarity Search. - Manos Chatzakis; Panagiota Fatourou; Eleftherios Kosmas; Themis Palpanas; Botao Peng (Proc. VLDB Endow., 2023)

Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series. - Emmanouil Sylligardos; Paul Boniol; John Paparrizos; Panos E. Trahanias; Themis Palpanas (Proc. VLDB Endow., 2023)

Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. - Paul Boniol; Michele Linardi; Federico Roncallo; Themis Palpanas; Mohammed Meftah; Emmanuel Remy (VLDB J., 2023)

Efficient Range and kNN Twin Subsequence Search in Time Series. - Georgios Chatzigeorgakidis; Dimitrios Skoutas 001; Kostas Patroumpas; Themis Palpanas; Spiros Athanasiou; Spiros Skiadopoulos (IEEE Trans. Knowl. Data Eng., 2023)

ProS: data series progressive k-NN similarity search and classification with probabilistic quality guarantees. - Karima Echihabi; Theophanis Tsandilas; Anna Gogolou; Anastasia Bezerianos; Themis Palpanas (VLDB J., 2023)

ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series. - Adrien Petralia; Philippe Charpentier; Themis Palpanas (Proc. VLDB Endow., 2023)

SEAnet: A Deep Learning Architecture for Data Series Similarity Search. - Qitong Wang 003; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2023)

A Critical Re-evaluation of Record Linkage Benchmarks for Learning-Based Matching Algorithms. - George Papadakis 001; Nishadi Kirielle; Peter Christen; Themis Palpanas (ICDE, 2024)

An Interactive Dive into Time-Series Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas (ICDE, 2024)

ADecimo: Model Selection for Time Series Anomaly Detection. - Paul Boniol; Emmanouil Sylligardos; John Paparrizos; Panos E. Trahanias; Themis Palpanas (ICDE, 2024)

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. - Romain Ilbert; Ambroise Odonnat; Vasilii Feofanov; Aladin Virmaux; Giuseppe Paolo; Themis Palpanas; Ievgen Redko (ICML, 2024)

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. - Romain Ilbert; Malik Tiomoko; Cosme Louart; Ambroise Odonnat; Vasilii Feofanov; Themis Palpanas; Ievgen Redko (NeurIPS, 2024)

Scalable Vector Analytics: A Story of Twists and Turns. - Themis Palpanas (SEBD, 2024)

Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. - Romain Ilbert; Ambroise Odonnat; Vasilii Feofanov; Aladin Virmaux; Giuseppe Paolo; Themis Palpanas; Ievgen Redko (CoRR, 2024)

Data Quality Awareness: A Journey from Traditional Data Management to Data Science Systems. - Sijie Dong; Soror Sahri; Themis Palpanas (CoRR, 2024)

Dive into Time-Series Anomaly Detection: A Decade Review. - Paul Boniol; Qinghua Liu; Mingyi Huang; Themis Palpanas; John Paparrizos (CoRR, 2024)

Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A Survey and Evaluation. - Zeyu Wang 007; Haoran Xiong; Qitong Wang 003; Zhenying He; Peng Wang 027; Themis Palpanas; Wei Wang 009 (IEEE Data Eng. Bull., 2024)

High-Dimensional Vector Quantization: General Framework, Recent Advances, and Future Directions. - Jianyang Gao; Yutong Gou; Yuexuan Xu; Jifan Shi; Cheng Long 001; Raymond Chi-Wing Wong; Themis Palpanas (IEEE Data Eng. Bull., 2024)

Streaming Data Collection With a Private Sketch-Based Protocol. - Ying Li 051; Xiaodong Lee; Botao Peng; Themis Palpanas; Jing'an Xue (IEEE Internet Things J., 2024)

GSM: A generalized approach to Supervised Meta-blocking for scalable entity resolution. - Luca Gagliardelli; George Papadakis 001; Giovanni Simonini; Sonia Bergamaschi; Themis Palpanas (Inf. Syst., 2024)

DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search. - Jiuqi Wei; Botao Peng; Xiaodong Lee; Themis Palpanas (Proc. VLDB Endow., 2024)

Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines. - Sijie Dong; Qitong Wang 003; Soror Sahri; Themis Palpanas; Divesh Srivastava (Proc. VLDB Endow., 2024)

Time-Series Anomaly Detection: Overview and New Trends. - Qinghua Liu; Paul Boniol; Themis Palpanas; John Paparrizos (Proc. VLDB Endow., 2024)

Front Matter. - Meihui Zhang 001; Cyrus Shahabi; Ju Fan; Yang Cao 011; Xiaoou Ding; Divesh Srivastava; Nesime Tatbul; Sihem Amer-Yahia; Yongxin Tong; Yuncheng Wu; Li Xiong 001; Torsten Grust; et al. (Proc. VLDB Endow., 2024)

Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes. - Zeyu Wang 007; Qitong Wang 003; Xiaoxing Cheng; Peng Wang 027; Themis Palpanas; Wei Wang 009 (Proc. VLDB Endow., 2024)

DumpyOS: A data-adaptive multi-ary index for scalable data series similarity search. - Zeyu Wang 007; Qitong Wang 003; Peng Wang 027; Themis Palpanas; Wei Wang 009 (VLDB J., 2024)

Towards Reliable Conversational Data Analytics. - Sihem Amer-Yahia; Jasmina Bogojeska; Roberta Facchinetti; Valeria Franceschi; Aristides Gionis; Katja Hose; Georgia Koutrika; Roger Kouyos; Matteo Lissandrini; Silviu Maniu; Katsiaryna Mirylenka; Davide Mottin; et al. (EDBT, 2025)

Automated Data Quality Validation in an End-to-End GNN Framework. - Sijie Dong; Soror Sahri; Themis Palpanas; Qitong Wang 003 (EDBT, 2025)

Graphint: Graph-Based Time Series Clustering Visualisation Tool. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (ICDE, 2025)

User-Friendly Foundation Model Adapters for Multivariate Time Series Classification. - Romain Ilbert; Vasilii Feofanov; Malik Tiomoko; Ievgen Redko; Themis Palpanas (ICDEW, 2025)

Few Labels are All you Need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series. - Adrien Petralia; Paul Boniol; Philippe Charpentier; Themis Palpanas (ICDE, 2025)

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series. - Adrien Petralia; Paul Boniol; Philippe Charpentier; Themis Palpanas (ICDE, 2025)

Fast and Exact Similarity Search in Less than a Blink of an Eye. - Patrick Schäfer 001; Jakob Brand; Ulf Leser; Botao Peng; Themis Palpanas (ICDE, 2025)

Optimised Decision Intelligence in Data-intensive Environments. - George Tzagkarakis; Rommert Dekker; Themis Palpanas (ERCIM News, 2025)

Front Matter. - Themis Palpanas; Nesime Tatbul (Proc. VLDB Endow., 2025)

k-Graph: A Graph Embedding for Interpretable Time Series Clustering. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (CoRR, 2025)

VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection. - Paul Boniol; Ashwin K. Krishna; Marine Bruel; Qinghua Liu; Mingyi Huang; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin; John Paparrizos (CoRR, 2025)

Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art. - Ilias Azizi; Karima Echihabi; Themis Palpanas (Proc. ACM Manag. Data, 2025)

LeaFi: Data Series Indexes on Steroids with Learned Filters. - Qitong Wang 003; Ioana Ileana; Themis Palpanas (Proc. ACM Manag. Data, 2025)

Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search. - Jiuqi Wei; Xiaodong Lee; Zhenyu Liao 001; Themis Palpanas; Botao Peng (Proc. ACM Manag. Data, 2025)

Front Matter. - Matthias Boehm 001; Reynod Cheng; Xin Luna Dong; Themis Palpanas; Nesime Tatbul (Proc. VLDB Endow., 2025)

Front Matter. - H. V. Jagadish; M. Tamer Özsu; Themis Palpanas; Nesime Tatbul (Proc. VLDB Endow., 2025)

LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning. - Xiaotian Lin; Yanlin Qi; Yizhang Zhu; Themis Palpanas; Chengliang Chai; Nan Tang 001; Yuyu Luo (CoRR, 2025)

DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search. - Manos Chatzakis; Yannis Papakonstantinou; Themis Palpanas (CoRR, 2025)

-Graph: A Graph Embedding for Interpretable Time Series Clustering. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2025)

VUS: effective and efficient accuracy measures for time-series anomaly detection. - Paul Boniol; Ashwin K. Krishna; Marine Bruel; Qinghua Liu; Mingyi Huang; Themis Palpanas; Ruey S. Tsay; Aaron Elmore; Michael J. Franklin; John Paparrizos (VLDB J., 2025)

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity. - Adrien Petralia; Philippe Charpentier; Youssef Kadhi; Themis Palpanas (CoRR, 2025)

TiVy: Time Series Visual Summary for Scalable Visualization. - Gromit Yeuk-Yin Chan; Luis Gustavo Nonato; Themis Palpanas; Cláudio T. Silva; Juliana Freire (CoRR, 2025)

CauKer: classification time series foundation models can be pretrained on synthetic data only. - Shifeng Xie; Vasilii Feofanov; Marius Alonso; Ambroise Odonnat; Jianfeng Zhang; Themis Palpanas; Ievgen Redko (CoRR, 2025)