Probabilistic analysis of an enhanced partitioning algorithm for the steiner tree problem in Rd. - Konstantinos Kalpakis; Alan T. Sherman (Networks, 1994)

On a Unified Framework for the Evaluation of Distributed Quorum Attainment Protocols. - Daniel A. Menascé; Yelena Yesha; Konstantinos Kalpakis (IEEE Trans. Software Eng., 1994)

On the Power of the Linear Array Architecture for Performing Tree-Structured Computations. - Konstantinos Kalpakis; Yaacov Yesha (J. Comput. Syst. Sci., 1995)

Scheduling Tree DAGs on Parallel Architectures. - Konstantinos Kalpakis; Yelena Yesha (Algorithmica, 1996)

On the bisection width of the transposition network. - Konstantinos Kalpakis; Yaacov Yesha (Networks, 1997)

Maximizing Seller's Profit for Electronic Commerce. - Bella Belegradek; Konstantinos Kalpakis; Yelena Yesha (Trends in Distributed Systems for Electronic Commerce, 1998)

Upper and Lower Bounds on the Makespan of Schedules for Tree Dags on Linear Arrays. - Konstantinos Kalpakis; Yaacov Yesha (Algorithmica, 1999)

Strategies for maximizing seller's profit under unknown buyer's valuations. - Bella Belegradek; Konstantinos Kalpakis; Yelena Yesha (Inf. Sci., 2000)

Distance Measures for Effective Clustering of ARIMA Time-Series. - Konstantinos Kalpakis; Dhiral Gada; Vasundhara Puttagunta (ICDM, 2001)

Steiner-Optimal Data Replication in Tree Networks with Storage Costs. - Konstantinos Kalpakis; Koustuv Dasgupta; Ouri Wolfson (IDEAS, 2001)

Modeling Moving Objects for Location Based Services. - Ouri Wolfson; Sam Chamberlain; Konstantinos Kalpakis; Yelena Yesha (Infrastructure for Mobile and Wireless Systems, 2001)

Optimal Placement of Replicas in Trees with Read, Write, and Storage Costs. - Konstantinos Kalpakis; Koustuv Dasgupta; Ouri Wolfson (IEEE Trans. Parallel Distributed Syst., 2001)

Adaptive Methods for Activity Monitoring of Streaming Data. - Vasundhara Puttagunta; Konstantinos Kalpakis (ICMLA, 2002)

Topology-Aware Placement and Role Assignment for Energy-Efficient Information Gathering in Sensor Networks. - Koustuv Dasgupta; Meghna Kukreja; Konstantinos Kalpakis (ISCC, 2003)

An efficient clustering-based heuristic for data gathering and aggregation in sensor networks. - Koustuv Dasgupta; Konstantinos Kalpakis; Parag Namjoshi (WCNC, 2003)

Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks. - Konstantinos Kalpakis; Koustuv Dasgupta; Parag Namjoshi (Comput. Networks, 2003)

Accuracy vs. lifetime: linear sketches for approximate aggregate range queries in sensor networks. - Konstantinos Kalpakis; Vasundhara Puttagunta; Parag Namjoshi (DIALM-POMC, 2004)

Haplotype Phasing Using Semidefinite Programming. - Konstantinos Kalpakis; Parag Namjoshi (BIBE, 2005)

Adaptive Clusters and Histograms over Data Streams. - Vasundhara Puttagunta; Konstantinos Kalpakis (IKE, 2005)

Trading Computation & Precision for Energy inWireless Sensor Networks with Applications. - Konstantinos Kalpakis; Shilang Tang (ICPP Workshops, 2006)

Accuracy vs. Lifetime: Linear Sketches for Aggregate Queries in Sensor Networks. - Vasundhara Puttagunta; Konstantinos Kalpakis (Algorithmica, 2007)

A combinatorial algorithm for the Maximum Lifetime Data Gathering And Aggregation problem in sensor networks. - Konstantinos Kalpakis; Shilang Tang (WOWMOM, 2008)

Collaborative data gathering in wireless sensor networks using measurement co-occurrence. - Konstantinos Kalpakis; Shilang Tang (Comput. Commun., 2008)

A combinatorial algorithm for the maximum lifetime data gathering with aggregation problem in sensor networks. - Konstantinos Kalpakis; Shilang Tang (Comput. Commun., 2009)

Maximum lifetime continuous query processing in wireless sensor networks. - Konstantinos Kalpakis; Shilang Tang (Ad Hoc Networks, 2010)

Everywhere sparse approximately optimal minimum energy data gathering and aggregation in sensor networks. - Konstantinos Kalpakis (ACM Trans. Sens. Networks, 2010)

A gossip-based energy efficient protocol for robust in-network aggregation in wireless sensor networks. - Shantanu Fauji; Konstantinos Kalpakis (PerCom Workshops, 2011)

Fast Algorithms to Implement N-FINDR for Hyperspectral Endmember Extraction. - Wei Xiong; Chein-I Chang; Chao-Cheng Wu; Konstantinos Kalpakis; Hsian-Min Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011)

An adaptive observation site selection strategy for road traffic data assimilation. - Shiming Yang; Konstantinos Kalpakis; Alain Biem (CTS@SIGSPATIAL, 2012)

Online Recovery of Missing Values in Vital Signs Data Streams Using Low-Rank Matrix Completion. - Shiming Yang; Konstantinos Kalpakis; Colin F. Mackenzie; Lynn G. Stansbury; Deborah M. Stein; Thomas M. Scalea; Peter Fu-Ming Hu (ICMLA (1), 2012)

Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data. - Konstantinos Kalpakis; Shiming Yang; Peter Fu-Ming Hu; Colin F. Mackenzie; Lynn G. Stansbury; Deborah M. Stein; Thomas M. Scalea (MLDM, 2012)

Distributed model consensus for models of locally biased measurements in wireless sensor networks. - Jacob Thompson; Konstantinos Kalpakis (ICNC, 2013)

Spatio-temporal coupled Bayesian Robust Principal Component Analysis for road traffic event detection. - Shiming Yang; Konstantinos Kalpakis; Alain Biem (ITSC, 2013)

DoubleMod and SingleMod: Simple Randomized Secret-Key Encryption with Bounded Homomorphicity. - Dhananjay S. Phatak; Qiang Tang 001; Alan T. Sherman; Warren D. Smith; Peter Y. A. Ryan; Konstantinos Kalpakis (IACR Cryptol. ePrint Arch., 2014)

Detecting Road Traffic Events by Coupling Multiple Timeseries With a Nonparametric Bayesian Method. - Shiming Yang; Konstantinos Kalpakis; Alain Biem (IEEE Trans. Intell. Transp. Syst., 2014)

Intelligent Bus Stop Identification Using Smartphone Sensors. - Kaavya Srinivasan; Konstantinos Kalpakis (ICMLA, 2015)

Permutation entropy analysis of vital signs data for outcome prediction of patients with severe traumatic brain injury. - Konstantinos Kalpakis; Shiming Yang; Peter Fu-Ming Hu; Colin F. Mackenzie; Lynn G. Stansbury; Deborah M. Stein; Thomas M. Scalea (Comput. Biol. Medicine, 2015)

Inferring relations in knowledge graphs with tensor decompositions. - Ankur Padia; Konstantinos Kalpakis; Tim Finin (IEEE BigData, 2016)

Reflections on: Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization. - Ankur Padia; Konstantinos Kalpakis; Francis Ferraro; Tim Finin (JT@ISWC, 2019)

Knowledge graph fact prediction via knowledge-enriched tensor factorization. - Ankur Padia; Konstantinos Kalpakis; Francis Ferraro; Tim Finin (J. Web Semant., 2019)

Consensus-relevance kNN and covariate shift mitigation. - Konstantinos Kalpakis (Mach. Learn., 2024)